diff --git "a/_source/_revisions/noul-criteria-v2/previous/dataset_metadata.json" "b/_source/_revisions/noul-criteria-v2/previous/dataset_metadata.json" --- "a/_source/_revisions/noul-criteria-v2/previous/dataset_metadata.json" +++ "b/_source/_revisions/noul-criteria-v2/previous/dataset_metadata.json" @@ -1,17121 +1,3 @@ -{ - "builder_sha256": "bcd3e1d0be6fa9dfbf60381f7407997fc61fc4a7f07e97d3a6728a45f8fdf704", - "candidate_order": "Shuffle all options, including positives; preserve IDs, values and soft labels. Paired decisions with identical option IDs share order. 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"dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "aegis2", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 148 - }, - "counts": { - "cases": 100, - "decisions": 148, - "labeled_decisions": 148 - }, - "decision_types": { - "noul": 148 - } - } - }, - "task_types": { - "noul": 148 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-4.0" - ], - "license_source": "https://huggingface.co/datasets/nvidia/Aegis-AI-Content-Safety-Dataset-2.0/blob/d86bb8bedff51d25ac834ab7838f1cc61acb7a2c/README.md", - "name": "nvidia/Aegis-AI-Content-Safety-Dataset-2.0", - "revision": "d86bb8bedff51d25ac834ab7838f1cc61acb7a2c", - "url": "https://huggingface.co/datasets/nvidia/Aegis-AI-Content-Safety-Dataset-2.0" - } - ] - }, - "ag_news": { - "description": "ニュースの文章を、世界・スポーツ・ビジネス・科学技術のカテゴリへ分類するデータセット。Laya向けに変換したinstructionと教師を保持し、元データ由来の分割で型付き判断の学習や評価に利用できます。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "ag_news", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "unknown" - ], - "license_checked_revision": "eb185aade064a813bc0b7f42de02595523103ca4", - "license_lookup_error": null, - "license_source": "https://huggingface.co/datasets/fancyzhx/ag_news/blob/main/README.md", - "name": "fancyzhx/ag_news", - "url": "https://huggingface.co/datasets/fancyzhx/ag_news" - } - ] - }, - "aqua_rat": { - "description": "数量や単位を含む文章問題について、数学的な推論から正しい解答を選ぶデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "duplicate_choice_policy": "exact_choice_text_mass_merge_v1", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "post_repair_full_statistics": { - "instructions": [ - { - "decisions": 100, - "text": "Solve the mathematical question using the stated quantities and units." - } - ], - "languages": { - "en": 100 - }, - "lengths": { - "docs": null, - "instruction": { - "count": 100, - "max": 70, - "mean": 70.0, - "median": 70, - "min": 70, - "p95": 70 - }, - "options": { - "count": 499, - "max": 26, - "mean": 4.62124248496994, - "median": 3, - "min": 1, - "p95": 13 - }, - "options_per_decision": { - "count": 100, - "max": 5, - "mean": 4.99, - "median": 5, - "min": 4, - "p95": 5 - }, - "query": null, - "state_field:question": { - "count": 100, - "max": 475, - "mean": 188.11, - "median": 176, - "min": 16, - "p95": 342 - }, - "state_json": { - "count": 100, - "max": 490, - "mean": 203.27, - "median": 191, - "min": 31, - "p95": 357 - } - }, - "splits": { - "test": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100, - "languages": { - "en": 100 - }, - "lengths": { - "docs": null, - "instruction": { - "count": 100, - "max": 70, - "mean": 70.0, - "median": 70, - "min": 70, - "p95": 70 - }, - "options": { - "count": 499, - "max": 26, - "mean": 4.62124248496994, - "median": 3, - "min": 1, - "p95": 13 - }, - "options_per_decision": { - "count": 100, - "max": 5, - "mean": 4.99, - "median": 5, - "min": 4, - "p95": 5 - }, - "query": null, - "state_field:question": { - "count": 100, - "max": 475, - "mean": 188.11, - "median": 176, - "min": 16, - "p95": 342 - }, - "state_json": { - "count": 100, - "max": 490, - "mean": 203.27, - "median": 191, - "min": 31, - "p95": 357 - } - }, - "target_kinds": { - "hard_label": 100 - }, - "task_types": { - "choice": 100 - }, - "unlabeled_decisions": 0 - } - }, - "validation": "all rows: prompt IDs aligned, target IDs aligned, finite nonnegative unit-sum probabilities; generated rows also checked for role/label mapping, option counts, distinct ranking docs and recorded token limits" - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "aqua_rat", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0" - ], - "license_source": "https://huggingface.co/datasets/deepmind/aqua_rat/blob/33301c6a050c96af81f63cad5562cb5363e88971/README.md", - "name": "deepmind/aqua_rat", - "revision": "33301c6a050c96af81f63cad5562cb5363e88971", - "url": "https://huggingface.co/datasets/deepmind/aqua_rat" - } - ] - }, - "arc": { - "description": "科学の知識や推論を必要とする多肢選択問題を集めた、質問応答のデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "arc", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-sa-4.0" - ], - "license_source": "https://huggingface.co/datasets/allenai/ai2_arc/blob/210d026faf9955653af8916fad021475a3f00453/README.md", - "name": "allenai/ai2_arc", - "revision": "210d026faf9955653af8916fad021475a3f00453", - "url": "https://huggingface.co/datasets/allenai/ai2_arc" - } - ] - }, - "arct": { - "description": "主張と理由の関係を成立させる暗黙の前提を選ぶ、議論理解のデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "arct", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0" - ], - "license_source": "https://huggingface.co/datasets/tasksource/arct/blob/c13f83ea610d0f04c8b6ea50a59339b8204dcd44/README.md", - "name": "tasksource/arct", - "revision": "c13f83ea610d0f04c8b6ea50a59339b8204dcd44", - "url": "https://huggingface.co/datasets/tasksource/arct" - } - ] - }, - "argument_quality": { - "description": "与えられた論題に対する議論の質を評価する、自然言語の論証評価データセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 200 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "argument_quality", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100, - "weighted_annotation_probability": 100 - }, - "counts": { - "cases": 100, - "decisions": 200, - "labeled_decisions": 200 - }, - "decision_types": { - "choice": 100, - "noul": 100 - } - } - }, - "task_types": { - "choice": 100, - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-sa-3.0" - ], - "license_source": "https://huggingface.co/datasets/ibm-research/argument_quality_ranking_30k/blob/590726b3765b1b90c5e53a17e3b1f77d92d3aa8a/README.md", - "name": "ibm-research/argument_quality_ranking_30k", - "revision": "590726b3765b1b90c5e53a17e3b1f77d92d3aa8a", - "url": "https://huggingface.co/datasets/ibm-research/argument_quality_ranking_30k" - } - ] - }, - "babi_nli": { - "description": "短い物語や事実の記述から、対象の状態や関係について推論するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "babi_nli", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "bsd" - ], - "license_source": "https://huggingface.co/datasets/tasksource/babi_nli/blob/80b689dc668b50f3640fc5368fd1893d385cb4e1/README.md", - "name": "tasksource/babi_nli", - "revision": "80b689dc668b50f3640fc5368fd1893d385cb4e1", - "url": "https://huggingface.co/datasets/tasksource/babi_nli" - } - ] - }, - "banking77": { - "description": "銀行サービスに関する利用者の問い合わせを、細かな意図カテゴリに分類するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "banking77", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-4.0" - ], - "license_source": "https://huggingface.co/datasets/PolyAI/banking77/blob/90d4e2ee5521c04fc1488f065b8b083658768c57/README.md", - "name": "PolyAI/banking77", - "revision": "90d4e2ee5521c04fc1488f065b8b083658768c57", - "url": "https://huggingface.co/datasets/PolyAI/banking77" - } - ] - }, - "bbq": { - "description": "社会集団に関する文脈付き質問を使い、曖昧さと偏見への依存を調べる評価用データセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "bbq", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-4.0" - ], - "license_source": "https://huggingface.co/datasets/lighteval/bbq_helm/blob/10937569dd76b6f33b2ff3572382ed87458e7856/README.md", - "name": "lighteval/bbq_helm", - "revision": "10937569dd76b6f33b2ff3572382ed87458e7856", - "url": "https://huggingface.co/datasets/lighteval/bbq_helm" - } - ] - }, - "boardgameqa": { - "description": "ルールと事実から結論を判断し、矛盾や例外を伴う推論を扱う質問応答データセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "boardgameqa", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-4.0" - ], - "license_source": "https://huggingface.co/datasets/tasksource/Boardgame-QA/blob/78e38c3c8df3b4f6de7ae8bd1fc6a8bd1f31be56/README.md", - "name": "tasksource/Boardgame-QA", - "revision": "78e38c3c8df3b4f6de7ae8bd1fc6a8bd1f31be56", - "url": "https://huggingface.co/datasets/tasksource/Boardgame-QA" - } - ] - }, - "canttalk": { - "description": "ユーザーのメッセージが許可された話題の範囲内にあるかを判断する、話題制御のデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "canttalk", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-4.0" - ], - "license_source": "https://huggingface.co/datasets/nvidia/CantTalkAboutThis-Topic-Control-Dataset/blob/b015ae8902d8429ce32ebfed9f9935f891d10ed5/README.md", - "name": "nvidia/CantTalkAboutThis-Topic-Control-Dataset", - "revision": "b015ae8902d8429ce32ebfed9f9935f891d10ed5", - "url": "https://huggingface.co/datasets/nvidia/CantTalkAboutThis-Topic-Control-Dataset" - } - ] - }, - "civil_comments": { - "description": "オンラインのコメントに含まれる有害性や関連属性を、人手注釈に基づいて判定するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 700 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "civil_comments", - "structured_statistics": { - "test": { - "annotation_kinds": { - "annotator_distribution": 700 - }, - "counts": { - "cases": 100, - "decisions": 700, - "labeled_decisions": 700 - }, - "decision_types": { - "noul": 700 - } - } - }, - "task_types": { - "noul": 700 - }, - "upstream_datasets": [ - { - "license": [ - "cc0-1.0" - ], - "license_source": "https://huggingface.co/datasets/google/civil_comments/blob/f2970eb3a55777454c94069077cc8d9b5866312d/README.md", - "name": "google/civil_comments", - "revision": "f2970eb3a55777454c94069077cc8d9b5866312d", - "url": "https://huggingface.co/datasets/google/civil_comments" - } - ] - }, - "cladder": { - "description": "因果関係を記述した問題について、因果推論に基づく回答を評価するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "cladder", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "mit" - ], - "license_source": "https://github.com/causalNLP/cladder/blob/3d2d1169b4b939a09048a6a75956c8972a93cc38/README.md", - "name": "https://github.com/causalNLP/cladder", - "revision": "3d2d1169b4b939a09048a6a75956c8972a93cc38", - "url": "https://github.com/causalNLP/cladder" - } - ] - }, - "clinc": { - "description": "対話システムへの発話を複数のサービス領域にまたがる意図へ分類するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 151, - "decisions": 151 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "clinc", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 151 - }, - "counts": { - "cases": 151, - "decisions": 151, - "labeled_decisions": 151 - }, - "decision_types": { - "choice": 151 - } - } - }, - "task_types": { - "choice": 151 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-3.0" - ], - "license_source": "https://huggingface.co/datasets/clinc/clinc_oos/blob/155b9c710419136e17307b80d0a13e68cd46b4ec/README.md", - "name": "clinc/clinc_oos", - "revision": "155b9c710419136e17307b80d0a13e68cd46b4ec", - "url": "https://huggingface.co/datasets/clinc/clinc_oos" - } - ] - }, - "contract_nli": { - "description": "契約書の内容が指定された命題を支持するかを判断する、法律文書の含意認識データセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 1700 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "contract_nli", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 1700 - }, - "counts": { - "cases": 100, - "decisions": 1700, - "labeled_decisions": 1700 - }, - "decision_types": { - "choice": 1700 - } - } - }, - "task_types": { - "choice": 1700 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-4.0" - ], - "license_source": "https://github.com/stanfordnlp/contract-nli/blob/eced6528dd3c1d14d73f9a87df8f7bdbc03126f9/README.md", - "name": "https://github.com/stanfordnlp/contract-nli", - "revision": "eced6528dd3c1d14d73f9a87df8f7bdbc03126f9", - "url": "https://github.com/stanfordnlp/contract-nli" - } - ] - }, - "corr2cause": { - "description": "変数間の統計的関係の記述から、因果的な結論が導けるかを判断するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "corr2cause", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "mit" - ], - "license_source": "https://huggingface.co/datasets/tasksource/corr2cause/blob/aa0e8b909b8cb7589eb23dad5e9c1cb709e665a3/README.md", - "name": "tasksource/corr2cause", - "revision": "aa0e8b909b8cb7589eb23dad5e9c1cb709e665a3", - "url": "https://huggingface.co/datasets/tasksource/corr2cause" - } - ] - }, - "creak": { - "description": "実世界のエンティティに関する短い主張の真偽を、常識や知識に基づいて判定するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "creak", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "mit" - ], - "license_source": "https://huggingface.co/datasets/amydeng2000/CREAK/blob/cceb4696560317e920d6512b906263bb425883a1/README.md", - "name": "amydeng2000/CREAK", - "revision": "cceb4696560317e920d6512b906263bb425883a1", - "url": "https://huggingface.co/datasets/amydeng2000/CREAK" - } - ] - }, - "crows_pairs": { - "description": "社会的なステレオタイプに関わる対照文を用いて、モデルの偏りを調べる評価用データセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "crows_pairs", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-sa-4.0" - ], - "license_source": "https://github.com/nyu-mll/crows-pairs/blob/8aaac11c485473159ec9328a65253a5be9a479dc/README.md", - "name": "https://github.com/nyu-mll/crows-pairs", - "revision": "8aaac11c485473159ec9328a65253a5be9a479dc", - "url": "https://github.com/nyu-mll/crows-pairs" - } - ] - }, - "dbpedia": { - "description": "百科事典由来の項目説明を、人物・組織・場所などのカテゴリへ分類するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "dbpedia", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-sa-3.0" - ], - "license_source": "https://huggingface.co/datasets/fancyzhx/dbpedia_14/blob/9abd46cf7fc8b4c64290f26993c540b92aa145ac/README.md", - "name": "fancyzhx/dbpedia_14", - "revision": "9abd46cf7fc8b4c64290f26993c540b92aa145ac", - "url": "https://huggingface.co/datasets/fancyzhx/dbpedia_14" - } - ] - }, - "defeasible_nli": { - "description": "追加情報によって推論の支持が強まるか弱まるかを扱う、撤回可能な推論のデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "defeasible_nli", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0", - "cc-by-sa-4.0" - ], - "license_source": "https://huggingface.co/datasets/tasksource/defeasible-nli/blob/7c4a57df9d8de5c36d4e9caa977907b5e8469c4f/README.md", - "name": "tasksource/defeasible-nli", - "revision": "7c4a57df9d8de5c36d4e9caa977907b5e8469c4f", - "url": "https://huggingface.co/datasets/tasksource/defeasible-nli" - } - ] - }, - "enron_spam": { - "description": "電子メールの内容を読み、通常メールと迷惑メールを識別するデータセット。Laya向けに変換したinstructionと教師を保持し、元データ由来の分割で型付き判断の学習や評価に利用できます。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "enron_spam", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": "unknown", - "license_checked_revision": "1916f66c89d52221ae33eb57d44498b4f3a5df22", - "license_lookup_error": null, - "license_source": "https://huggingface.co/datasets/SetFit/enron_spam/blob/main/README.md", - "name": "SetFit/enron_spam", - "url": "https://huggingface.co/datasets/SetFit/enron_spam" - } - ] - }, - "esci": { - "description": "商品検索クエリと商品情報の関係を、適合・代替などの区分で判断するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "esci", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0" - ], - "license_source": "https://huggingface.co/datasets/tasksource/esci/blob/8113b17a5d4099e20243282c926f1bc1a08a4d13/README.md", - "name": "tasksource/esci", - "revision": "8113b17a5d4099e20243282c926f1bc1a08a4d13", - "url": "https://huggingface.co/datasets/tasksource/esci" - } - ] - }, - "ethics": { - "description": "日常的な行為や判断を倫理の観点から評価する、複数の課題を含むデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "ethics", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 18, - "noul": 82 - } - } - }, - "task_types": { - "choice": 18, - "noul": 82 - }, - "upstream_datasets": [ - { - "license": [ - "mit" - ], - "license_source": "https://huggingface.co/datasets/hendrycks/ethics/blob/b8b47c589f8bee77175b8648e5497278b68da48a/README.md", - "name": "hendrycks/ethics", - "revision": "b8b47c589f8bee77175b8648e5497278b68da48a", - "url": "https://huggingface.co/datasets/hendrycks/ethics" - } - ] - }, - "ethos": { - "description": "オンラインの発言に含まれるヘイト表現やその属性を判定するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "ethos", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "mit" - ], - "license_source": "https://huggingface.co/datasets/SetFit/ethos_binary/blob/3e20849175072aa95845981f27938ebeb4eb93e0/README.md", - "name": "SetFit/ethos_binary", - "revision": "3e20849175072aa95845981f27938ebeb4eb93e0", - "url": "https://huggingface.co/datasets/SetFit/ethos_binary" - } - ] - }, - "few_nerd": { - "description": "文中のエンティティを細かな意味カテゴリで識別する、固有表現認識由来のデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 358 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "few_nerd", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 358 - }, - "counts": { - "cases": 100, - "decisions": 358, - "labeled_decisions": 358 - }, - "decision_types": { - "choice": 358 - } - } - }, - "task_types": { - "choice": 358 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-sa-4.0" - ], - "license_source": "https://huggingface.co/datasets/DFKI-SLT/few-nerd/blob/205f3e9c9f3577ea2561d43f2f62dc249ab92d5b/README.md", - "name": "DFKI-SLT/few-nerd", - "revision": "205f3e9c9f3577ea2561d43f2f62dc249ab92d5b", - "url": "https://huggingface.co/datasets/DFKI-SLT/few-nerd" - } - ] - }, - "fol_nli": { - "description": "一階述語論理に関係する文の意味や帰結を扱う、論理的含意判断のデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "fol_nli", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0" - ], - "license_source": "https://huggingface.co/datasets/tasksource/FOL-nli/blob/6b8a2ec01b226ed871fbde4677a31146ac5f370c/README.md", - "name": "tasksource/FOL-nli", - "revision": "6b8a2ec01b226ed871fbde4677a31146ac5f370c", - "url": "https://huggingface.co/datasets/tasksource/FOL-nli" - } - ] - }, - "followir_core17": { - "description": "検索queryと文書の関連性を、個別のinstructionに従ってYes/Noで判断するFollowIRデータです。学習例と3評価suiteを統合し、評価では同一文書への指示変更前後の2判断を保持します。", - "evaluation_policy": "Keep original/changed judgments in one case. Report both-correct accuracy separately for changed-label and unchanged-label pairs, by evaluation_suite. This derived Noul evaluation is not official p-MRR.", - "evaluation_suite": "core17", - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 200 - } - }, - "license_scope": "HF card licenses are recorded per source; original evaluation corpus redistribution terms are separate.", - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "followir", - "structured_statistics": { - "test": { - "annotation_kinds": { - "derived_relevance_label": 200 - }, - "counts": { - "cases": 100, - "decisions": 200, - "labeled_decisions": 200 - }, - "decision_types": { - "noul": 200 - } - } - }, - "task_types": { - "noul": 200 - }, - "teacher_provenance": "Train: GPT-3.5 synthetic documents/labels filtered by Mistral; preserve source label, retain Mistral score only as metadata. Test: explicitly judged qrels > 0.", - "upstream_datasets": [ - { - "license": "mit", - "name": "mteb/Core17InstructionRetrieval", - "revision": "67d8733dd0691f08f34ed9dda5941578cba8d91c", - "url": "https://huggingface.co/datasets/mteb/Core17InstructionRetrieval" - } - ] - }, - "followir_news21": { - "description": "検索queryと文書の関連性を、個別のinstructionに従ってYes/Noで判断するFollowIRデータです。学習例と3評価suiteを統合し、評価では同一文書への指示変更前後の2判断を保持します。", - "evaluation_policy": "Keep original/changed judgments in one case. Report both-correct accuracy separately for changed-label and unchanged-label pairs, by evaluation_suite. This derived Noul evaluation is not official p-MRR.", - "evaluation_suite": "news21", - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 200 - } - }, - "license_scope": "HF card licenses are recorded per source; original evaluation corpus redistribution terms are separate.", - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "followir", - "structured_statistics": { - "test": { - "annotation_kinds": { - "derived_relevance_label": 200 - }, - "counts": { - "cases": 100, - "decisions": 200, - "labeled_decisions": 200 - }, - "decision_types": { - "noul": 200 - } - } - }, - "task_types": { - "noul": 200 - }, - "teacher_provenance": "Train: GPT-3.5 synthetic documents/labels filtered by Mistral; preserve source label, retain Mistral score only as metadata. Test: explicitly judged qrels > 0.", - "upstream_datasets": [ - { - "license": "mit", - "name": "mteb/News21InstructionRetrieval", - "revision": "c6fffeb9cdd95c1ffa81c62c687b48b56352872b", - "url": "https://huggingface.co/datasets/mteb/News21InstructionRetrieval" - } - ] - }, - "followir_robust04": { - "description": "検索queryと文書の関連性を、個別のinstructionに従ってYes/Noで判断するFollowIRデータです。学習例と3評価suiteを統合し、評価では同一文書への指示変更前後の2判断を保持します。", - "evaluation_policy": "Keep original/changed judgments in one case. Report both-correct accuracy separately for changed-label and unchanged-label pairs, by evaluation_suite. This derived Noul evaluation is not official p-MRR.", - "evaluation_suite": "robust04", - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 200 - } - }, - "license_scope": "HF card licenses are recorded per source; original evaluation corpus redistribution terms are separate.", - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "followir", - "structured_statistics": { - "test": { - "annotation_kinds": { - "derived_relevance_label": 200 - }, - "counts": { - "cases": 100, - "decisions": 200, - "labeled_decisions": 200 - }, - "decision_types": { - "noul": 200 - } - } - }, - "task_types": { - "noul": 200 - }, - "teacher_provenance": "Train: GPT-3.5 synthetic documents/labels filtered by Mistral; preserve source label, retain Mistral score only as metadata. Test: explicitly judged qrels > 0.", - "upstream_datasets": [ - { - "license": "mit", - "name": "mteb/Robust04InstructionRetrieval", - "revision": "0495a5cb69aa8fa5bca81bd56ac248911c19eeb6", - "url": "https://huggingface.co/datasets/mteb/Robust04InstructionRetrieval" - } - ] - }, - "go_emotions": { - "description": "短いオンライン投稿から、細かな感情カテゴリの該当を判断するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 2800 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "go_emotions", - "structured_statistics": { - "test": { - "annotation_kinds": { - "annotator_distribution": 2800 - }, - "counts": { - "cases": 100, - "decisions": 2800, - "labeled_decisions": 2800 - }, - "decision_types": { - "noul": 2800 - } - } - }, - "task_types": { - "noul": 2800 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0" - ], - "license_source": "https://huggingface.co/datasets/google-research-datasets/go_emotions/blob/add492243ff905527e67aeb8b80c082af02207c3/README.md", - "name": "google-research-datasets/go_emotions", - "revision": "add492243ff905527e67aeb8b80c082af02207c3", - "url": "https://huggingface.co/datasets/google-research-datasets/go_emotions" - } - ] - }, - "gretel_pii": { - "description": "文章中の個人識別情報を扱い、対象となる情報種別を判定するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 353 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "gretel_pii", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 353 - }, - "counts": { - "cases": 100, - "decisions": 353, - "labeled_decisions": 353 - }, - "decision_types": { - "choice": 353 - } - } - }, - "task_types": { - "choice": 353 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0" - ], - "license_source": "https://huggingface.co/datasets/gretelai/gretel-pii-masking-en-v1/blob/e06eb1499ca8d54470f085021cd8e54f9efac7fd/README.md", - "name": "gretelai/gretel-pii-masking-en-v1", - "revision": "e06eb1499ca8d54470f085021cd8e54f9efac7fd", - "url": "https://huggingface.co/datasets/gretelai/gretel-pii-masking-en-v1" - } - ] - }, - "gsm8k": { - "description": "小学校水準の算数文章題を対象に、複数段階の計算を必要とする解答を判断するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "gsm8k", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "mit" - ], - "license_source": "https://huggingface.co/datasets/openai/gsm8k/blob/740312add88f781978c0658806c59bc2815b9866/README.md", - "name": "openai/gsm8k", - "revision": "740312add88f781978c0658806c59bc2815b9866", - "url": "https://huggingface.co/datasets/openai/gsm8k" - } - ] - }, - "hans": { - "description": "語の重なりなどの表面的な手掛かりに頼らず、文間の含意を判断できるか調べるデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "hans", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "mit" - ], - "license_source": "https://huggingface.co/datasets/tasksource/hans/blob/8f107047d34fdfb57abfde38ec5196d63f7dee33/README.md", - "name": "tasksource/hans", - "revision": "8f107047d34fdfb57abfde38ec5196d63f7dee33", - "url": "https://huggingface.co/datasets/tasksource/hans" - } - ] - }, - "hatecheck": { - "description": "ヘイト表現の機能的なテストケースを使い、検出器の判断を評価するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "hatecheck", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-4.0" - ], - "license_source": "https://huggingface.co/datasets/Paul/hatecheck/blob/9d2ac89df04254e5c427bcc8d61b6d6c83a1f59b/README.md", - "name": "Paul/hatecheck", - "revision": "9d2ac89df04254e5c427bcc8d61b6d6c83a1f59b", - "url": "https://huggingface.co/datasets/Paul/hatecheck" - } - ] - }, - "hh_rlhf": { - "description": "対話への応答を有用性や無害性の観点で比較する、人手選好のデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "hh_rlhf", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "mit" - ], - "license_source": "https://huggingface.co/datasets/Anthropic/hh-rlhf/blob/09be8c5bbc57cb3887f3a9732ad6aa7ec602a1fa/README.md", - "name": "Anthropic/hh-rlhf", - "revision": "09be8c5bbc57cb3887f3a9732ad6aa7ec602a1fa", - "url": "https://huggingface.co/datasets/Anthropic/hh-rlhf" - } - ] - }, - "hwu64": { - "description": "複数の領域にまたがるアシスタント向け発話から、その意図を分類するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "hwu64", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-sa-3.0" - ], - "license_source": "https://huggingface.co/datasets/FastFit/hwu_64/blob/9fb5bff1e37c4c5a6d46c1ff6f286b6d3f362222/README.md", - "name": "FastFit/hwu_64", - "revision": "9fb5bff1e37c4c5a6d46c1ff6f286b6d3f362222", - "url": "https://huggingface.co/datasets/FastFit/hwu_64" - } - ] - }, - "impli": { - "description": "慣用的・比喩的な表現を含む文の関係から、意味的な含意を調べるデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "impli", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0" - ], - "license_source": "https://github.com/UKPLab/acl2022-impli/blob/d43c272c895c773b311018d51ab65f592c6699bb/README.md", - "name": "https://github.com/UKPLab/acl2022-impli", - "revision": "d43c272c895c773b311018d51ab65f592c6699bb", - "url": "https://github.com/UKPLab/acl2022-impli" - } - ] - }, - "lexcomp": { - "description": "複合語の意味を候補の言い換えが正しく説明するか、文脈を踏まえて判断するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "lexcomp", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0" - ], - "license_source": "https://huggingface.co/datasets/tasksource/lexcomp-nc-relation/blob/4f7fa5d487d71ac1543bc7849993b5dfc2e361ac/README.md", - "name": "tasksource/lexcomp-nc-relation", - "revision": "4f7fa5d487d71ac1543bc7849993b5dfc2e361ac", - "url": "https://huggingface.co/datasets/tasksource/lexcomp-nc-relation" - } - ] - }, - "logical_entailment": { - "description": "提示された論理的な前提から結論が導けるかを判断する、含意推論のデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "logical_entailment", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0" - ], - "license_source": "https://huggingface.co/datasets/tasksource/logical-entailment/blob/5275a96cea765dc3bbfd41e6034485791704ed69/README.md", - "name": "tasksource/logical-entailment", - "revision": "5275a96cea765dc3bbfd41e6034485791704ed69", - "url": "https://huggingface.co/datasets/tasksource/logical-entailment" - } - ] - }, - "lonli": { - "description": "さまざまな論理現象を制御した文対で、含意・矛盾などの判断を評価するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "lonli", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "mit" - ], - "license_source": "https://huggingface.co/datasets/tasksource/lonli/blob/f17e55b8f60da2f32720c1a16e4b6149145c662f/README.md", - "name": "tasksource/lonli", - "revision": "f17e55b8f60da2f32720c1a16e4b6149145c662f", - "url": "https://huggingface.co/datasets/tasksource/lonli" - } - ] - }, - "massive": { - "description": "多領域のアシスタント発話から意図を判定するデータセットの、採択済み英語部分。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 200 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "massive", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 200 - }, - "counts": { - "cases": 100, - "decisions": 200, - "labeled_decisions": 200 - }, - "decision_types": { - "choice": 200 - } - } - }, - "task_types": { - "choice": 200 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-4.0" - ], - "license_source": "https://huggingface.co/datasets/AmazonScience/massive/blob/ff6bd8e4b27c3543e4f8fe2108f32bb95a6f8740/README.md", - "name": "AmazonScience/massive", - "revision": "ff6bd8e4b27c3543e4f8fe2108f32bb95a6f8740", - "url": "https://huggingface.co/datasets/AmazonScience/massive" - } - ] - }, - "miqa": { - "description": "比喩的な意味の理解を必要とする質問応答を通して、推論を調べるデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "miqa", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0", - "cc-by-4.0" - ], - "license_source": "https://huggingface.co/datasets/tasksource/miqa/blob/b0b4a19860eea1740f04a7836612ec239e08e838/README.md", - "name": "tasksource/miqa", - "revision": "b0b4a19860eea1740f04a7836612ec239e08e838", - "url": "https://huggingface.co/datasets/tasksource/miqa" - } - ] - }, - "mtop": { - "description": "対話アシスタントへの要求を、意図などの意味構造に沿って判定するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 200 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "mtop", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 200 - }, - "counts": { - "cases": 100, - "decisions": 200, - "labeled_decisions": 200 - }, - "decision_types": { - "choice": 200 - } - } - }, - "task_types": { - "choice": 200 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-sa-4.0" - ], - "license_source": "https://huggingface.co/datasets/tasksource/mtop/blob/9fa95557ba2809ad05943880eee5231b4f2463fb/README.md", - "name": "tasksource/mtop", - "revision": "9fa95557ba2809ad05943880eee5231b4f2463fb", - "url": "https://huggingface.co/datasets/tasksource/mtop" - } - ] - }, - "nlsat": { - "description": "自然言語で記述された論理的条件について、整合性や成立可能性を判断するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "nlsat", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0" - ], - "license_source": "https://huggingface.co/datasets/tasksource/nlsat/blob/1c7e1a3afbb62462ee979d8d77521ebbfcef0255/README.md", - "name": "tasksource/nlsat", - "revision": "1c7e1a3afbb62462ee979d8d77521ebbfcef0255", - "url": "https://huggingface.co/datasets/tasksource/nlsat" - } - ] - }, - "openbookqa": { - "description": "基礎的な科学の事実と常識を組み合わせ、多肢選択の質問に答えるデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "openbookqa", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0" - ], - "license_source": "https://huggingface.co/datasets/allenai/openbookqa/blob/388097ea7776314e93a529163e0fea805b8a6454/README.md", - "name": "allenai/openbookqa", - "revision": "388097ea7776314e93a529163e0fea805b8a6454", - "url": "https://huggingface.co/datasets/allenai/openbookqa" - } - ] - }, - "patent_similarity": { - "description": "特許に関係する語句の組について、文脈を踏まえた意味的な類似性を評価するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "patent_similarity", - "structured_statistics": { - "test": { - "annotation_kinds": { - "human_ordinal_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "score": 100 - } - } - }, - "task_types": { - "score": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-4.0" - ], - "license_source": "https://huggingface.co/datasets/tasksource/patent-phrase-similarity/blob/ff1868796e44ac9ec02e870b447fde6c5bf2d6e4/README.md", - "name": "tasksource/patent-phrase-similarity", - "revision": "ff1868796e44ac9ec02e870b447fde6c5bf2d6e4", - "url": "https://huggingface.co/datasets/tasksource/patent-phrase-similarity" - } - ] - }, - "paws": { - "description": "語の重なりが大きい文対でも、実際に同じ意味を表すかを見分けるデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "paws", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "other" - ], - "license_source": "https://huggingface.co/datasets/google-research-datasets/paws/blob/161ece9501cf0a11f3e48bd356eaa82de46d6a09/README.md", - "name": "google-research-datasets/paws", - "revision": "161ece9501cf0a11f3e48bd356eaa82de46d6a09", - "url": "https://huggingface.co/datasets/google-research-datasets/paws" - } - ] - }, - "plane": { - "description": "カテゴリに関する記述から、指定されたカテゴリ推論が妥当かを判断するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - 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} - ] - }, - "poem_sentiment": { - "description": "詩のテキストに表れる感情の極性を分類する、文章感情分析のデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "poem_sentiment", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-4.0" - ], - "license_source": "https://huggingface.co/datasets/google-research-datasets/poem_sentiment/blob/685b95a2787a869b7bae6c4480810f57fe23b48e/README.md", - "name": "google-research-datasets/poem_sentiment", - "revision": "685b95a2787a869b7bae6c4480810f57fe23b48e", - "url": "https://huggingface.co/datasets/google-research-datasets/poem_sentiment" - } - ] - }, - "qasper": { - "description": "学術論文の内容に関する質問と根拠を扱う、科学文書の読解データセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "qasper", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-4.0" - ], - "license_source": "https://huggingface.co/datasets/allenai/qasper/blob/fdc9d8214fbab5dd782958601db4d678e6934a54/README.md", - "name": "allenai/qasper", - "revision": "fdc9d8214fbab5dd782958601db4d678e6934a54", - "url": "https://huggingface.co/datasets/allenai/qasper" - } - ] - }, - "quartz": { - "description": "量の増減などの定性的な関係を文章から読み取り、質問に答えるデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "quartz", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-4.0" - ], - "license_source": "https://huggingface.co/datasets/allenai/quartz/blob/28c1dbb56caf81799296cb17892fa73402e23464/README.md", - "name": "allenai/quartz", - "revision": "28c1dbb56caf81799296cb17892fa73402e23464", - "url": "https://huggingface.co/datasets/allenai/quartz" - } - ] - }, - "robust_lr": { - "description": "論理的な前提や表現の変更に対する推論の頑健性を調べる評価用データセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "robust_lr", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "mit" - ], - "license_source": "https://huggingface.co/datasets/tasksource/robustLR/blob/369ce16fbe4467f46916efe3730d04fb607c0391/README.md", - "name": "tasksource/robustLR", - "revision": "369ce16fbe4467f46916efe3730d04fb607c0391", - "url": "https://huggingface.co/datasets/tasksource/robustLR" - } - ] - }, - "ruletaker": { - "description": "自然言語で書かれたルールと事実から、指定された結論が導けるかを判断するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "ruletaker", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0" - ], - "license_source": "https://huggingface.co/datasets/tasksource/ruletaker/blob/a3e0880baeb6ec3d478f4c4d85afe04b21b6cf7f/README.md", - "name": "tasksource/ruletaker", - "revision": "a3e0880baeb6ec3d478f4c4d85afe04b21b6cf7f", - "url": "https://huggingface.co/datasets/tasksource/ruletaker" - } - ] - }, - "scicite": { - "description": "学術論文における引用の文脈から、引用の目的を分類するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "scicite", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0" - ], - "license_source": "https://huggingface.co/datasets/tasksource/scicite/blob/6b569c1b7045f187cccc94c38af91faa755178ae/README.md", - "name": "tasksource/scicite", - "revision": "6b569c1b7045f187cccc94c38af91faa755178ae", - "url": "https://huggingface.co/datasets/tasksource/scicite" - } - ] - }, - "scitail": { - "description": "科学に関する前提文と仮説文の組について、含意が成立するかを判断するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "scitail", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0" - ], - "license_source": "https://huggingface.co/datasets/allenai/scitail/blob/0cc4353235b289165dfde1c7c5d1be983f99ce44/README.md", - "name": "allenai/scitail", - "revision": "0cc4353235b289165dfde1c7c5d1be983f99ce44", - "url": "https://huggingface.co/datasets/allenai/scitail" - } - ] - }, - "scone": { - "description": "自然言語の推論に影響する複数の言語現象を扱い、文対の意味関係を判断するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "scone", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc0-1.0" - ], - "license_source": "https://huggingface.co/datasets/tasksource/scone/blob/505ed270f9e9865c6cfab1e222d804fedd837127/README.md", - "name": "tasksource/scone", - "revision": "505ed270f9e9865c6cfab1e222d804fedd837127", - "url": "https://huggingface.co/datasets/tasksource/scone" - } - ] - }, - "sdoh_nli": { - "description": "健康の社会的決定要因に関係する記述から、指定された内容が支持されるかを判断するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "sdoh_nli", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-4.0" - ], - "license_source": "https://huggingface.co/datasets/tasksource/SDOH-NLI/blob/75d4cc5f67ecb3f3c44cf5a3fadc3c9579f2f148/README.md", - "name": "tasksource/SDOH-NLI", - "revision": "75d4cc5f67ecb3f3c44cf5a3fadc3c9579f2f148", - "url": "https://huggingface.co/datasets/tasksource/SDOH-NLI" - } - ] - }, - "sgd": { - "description": "複数サービスの対話とスキーマに基づき、利用者の意図や要求を判断するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "sgd", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-sa-4.0" - ], - "license_source": "https://github.com/google-research-datasets/dstc8-schema-guided-dialogue/blob/e852981ae34990f4358979625854259302feaa78/README.md", - "name": "https://github.com/google-research-datasets/dstc8-schema-guided-dialogue", - "revision": "e852981ae34990f4358979625854259302feaa78", - "url": "https://github.com/google-research-datasets/dstc8-schema-guided-dialogue" - } - ] - }, - "snli": { - "description": "前提文と仮説文の組を、含意・矛盾・中立の関係で判断するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "snli", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-sa-4.0" - ], - "license_source": "https://huggingface.co/datasets/stanfordnlp/snli/blob/cdb5c3d5eed6ead6e5a341c8e56e669bb666725b/README.md", - "name": "stanfordnlp/snli", - "revision": "cdb5c3d5eed6ead6e5a341c8e56e669bb666725b", - "url": "https://huggingface.co/datasets/stanfordnlp/snli" - } - ] - }, - "spartqa": { - "description": "空間的な配置を記述した文章を読み、物体間の関係について質問に答えるデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "spartqa", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - 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Dai", - "Jakob Uszkoreit", - "Quoc Le", - "Slav Petrov" - ], - "doi": "10.1162/tacl_a_00276", - "is_paper": true, - "source_confidence": "definitive_paper_link", - "title": "Natural Questions: A Benchmark for Question Answering Research", - "url": "https://aclanthology.org/Q19-1026/", - "year": 2019 - } - ], - "short_description": "Natural Questions Wikipedia retrieval." - } - }, - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 400 - }, - "counts": { - "cases": 400, - "decisions": 400, - "labeled_decisions": 400 - }, - "decision_types": { - "score": 400 - } - } - }, - "task_types": { - "score": 400 - }, - "upstream_datasets": [ - { - "license": "unknown", - "name": "NanoNQ", - "revision": "d3962aa8efe48ed79044c5e155b848982667b4ba", - "url": "https://huggingface.co/datasets/hakari-bench/NanoBEIR-en" - } - ] - }, - "synthetic_relevance__nanobeir__NanoQuoraRetrieval": { - "description": "Nano検索候補からquery単位で8文書を抽出した評価専用の5段階関連性データ。DeepSeekの採点に元positiveの最低3点補正を適用し、元タスク・出典・元スコアを保持します。", - "evaluation_policy": "test only; one document per case, eight per source query; keep all sampled query groups", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 400, - "decisions": 400 - } - }, - "positive_correction": { - "corrected_cases": 26, - "policy": "source positive raw 0/1/2 -> 3" - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "synthetic_relevance__nanobeir__NanoQuoraRetrieval", - "source_tasks": { - "NanoQuoraRetrieval": { - "bibtex": "@misc{quora2017questionpairs,\n title = {Quora Question Pairs},\n author = {DataCanary and hilfialkaff and Jiang, Lili and Risdal, Meg and Dandekar, Nikhil and tomtung},\n year = {2017},\n url = {https://kaggle.com/competitions/quora-question-pairs}\n}\n", - "category": "natural_language", - "citation_keys": [ - "quora2017questionpairs" - ], - "description": "A compact Quora duplicate-question retrieval split. 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"is_paper": true, - "source_confidence": "definitive_paper_link", - "title": "CoIR: A Comprehensive Benchmark for Code Information Retrieval Models", - "url": "https://aclanthology.org/2025.acl-long.1072/", - "year": 2025 - } - ], - "short_description": "StackOverflow code QA retrieval." - }, - "NanoSyntheticText2SQL": { - "bibtex": "@inproceedings{li2025coir,\n title = {{CoIR}: A Comprehensive Benchmark for Code Information Retrieval Models},\n author = {Li, Xiangyang and Dong, Kuicai and Lee, Yi Quan and Xia, Wei and Zhang, Hao and Dai, Xinyi and Wang, Yasheng and Tang, Ruiming},\n booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},\n pages = {22074--22091},\n year = {2025},\n address = {Vienna, Austria},\n publisher = {Association for Computational Linguistics},\n url = {https://aclanthology.org/2025.acl-long.1072/},\n doi = {10.18653/v1/2025.acl-long.1072}\n}\n\n@software{gretel2024syntheticsql,\n title = {{Synthetic-Text-To-SQL}: A synthetic dataset for training language models to generate SQL queries from natural language prompts},\n author = {Meyer, Yev and Emadi, Marjan and Nathawani, Dhruv and Ramaswamy, Lipika and Boyd, Kendrick and Van Segbroeck, Maarten and Grossman, Matthew and Mlocek, Piotr and Newberry, Drew},\n month = {April},\n year = {2024},\n url = {https://huggingface.co/datasets/gretelai/synthetic-text-to-sql}\n}\n", - 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"dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "tracie", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0" - ], - "license_source": "https://huggingface.co/datasets/tasksource/tracie/blob/4967d8aaa06a4ea97a88bf77071d66be0140bc45/README.md", - "name": "tasksource/tracie", - "revision": "4967d8aaa06a4ea97a88bf77071d66be0140bc45", - "url": "https://huggingface.co/datasets/tasksource/tracie" - } - ] - }, - "typed_decisions": { - "description": "共有された入力状態について、複数の型付き判断を行うデータセット。Laya向けに変換したinstructionと教師を保持し、元データ由来の分割で型付き判断の学習や評価に利用できます。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 500 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "typed_decisions", - "structured_statistics": { - "test": { - "annotation_kinds": { - "teacher_distribution": 500 - }, - "counts": { - "cases": 100, - "decisions": 500, - "labeled_decisions": 500 - }, - "decision_types": { - "choice": 148, - "noul": 152, - "score": 200 - } - } - }, - "task_types": { - "choice": 148, - "noul": 152, - "score": 200 - }, - "upstream_datasets": [ - { - "license": "apache-2.0", - "license_checked_revision": "f7a2487edd7a043a5441a5e9ccc7fe5ddbd9ebe8", - "license_lookup_error": null, - "license_source": "https://huggingface.co/datasets/LocalLLaMA/typed-decisions/blob/main/README.md", - "name": "LocalLLaMA/typed-decisions", - "url": "https://huggingface.co/datasets/LocalLLaMA/typed-decisions" - } - ] - }, - "ud_ewt": { - "description": "英語のウェブ文章に付けられた言語学的注釈を、型付き判断に変換したデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 1509 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "ud_ewt", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 1509 - }, - "counts": { - "cases": 100, - "decisions": 1509, - "labeled_decisions": 1509 - }, - "decision_types": { - "choice": 1509 - } - } - }, - "task_types": { - "choice": 1509 - }, - "upstream_datasets": [ - { - "license": [ - "cc-by-sa-4.0" - ], - "license_source": "https://huggingface.co/datasets/universal-dependencies/universal_dependencies/blob/c3fed78df6b9f8cd27ed24cc7142e9eccf1e6703/README.md", - "name": "universal-dependencies/universal_dependencies", - "revision": "c3fed78df6b9f8cd27ed24cc7142e9eccf1e6703", - "url": "https://huggingface.co/datasets/universal-dependencies/universal_dependencies" - } - ] - }, - "winobias": { - "description": "職業や代名詞の文脈で、性別に関する偏見への依存を調べる評価用データセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "winobias", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "mit" - ], - "license_source": "https://github.com/uclanlp/corefBias/blob/0bce984dd081bbc10b0622f326727a024c607895/README.md", - "name": "https://github.com/uclanlp/corefBias", - "revision": "0bce984dd081bbc10b0622f326727a024c607895", - "url": "https://github.com/uclanlp/corefBias" - } - ] - }, - "winowhy": { - "description": "照応解決の理由の妥当性を判断し、常識推論の説明を調べる評価用データセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "winowhy", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "noul": 100 - } - } - }, - "task_types": { - "noul": 100 - }, - "upstream_datasets": [ - { - "license": [ - "mit" - ], - "license_source": "https://huggingface.co/datasets/tasksource/winowhy/blob/b7732098d32396fb9f690e9d50cb7f1758861305/README.md", - "name": "tasksource/winowhy", - "revision": "b7732098d32396fb9f690e9d50cb7f1758861305", - "url": "https://huggingface.co/datasets/tasksource/winowhy" - } - ] - }, - "wiqa": { - "description": "手順や過程への変更が、その結果にどう影響するかを推論するデータセット。元の注釈をChoice・Noul・Scoreの該当形式で保持し、instructionと学習・評価用の分割を収録しています。", - "evaluation_suite": null, - "language": [ - "en" - ], - "legacy_statistics": { - "test": { - "cases": 100, - "decisions": 100 - } - }, - "schema": { - "case_id": { - "_type": "Value", - "dtype": "string" - }, - "group_id": { - "_type": "Value", - "dtype": "string" - }, - "input": { - "decisions": { - "_type": "List", - "feature": { - "criteria": { - "_type": "List", - "feature": { - "description_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "value": { - "_type": "Value", - "dtype": "float64" - } - } - }, - "documents": { - "_type": "List", - "feature": { - "content_json": { - "_type": "Value", - "dtype": "large_string" - }, - "id": { - "_type": "Value", - "dtype": "string" - } - } - }, - "id": { - "_type": "Value", - "dtype": "string" - }, - "instructions_json": { - "_type": "Value", - "dtype": "large_string" - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "scoring": { - "_type": "Value", - "dtype": "string" - }, - "system_prompt": { - "_type": "Value", - "dtype": "large_string" - }, - "type": { - "_type": "Value", - "dtype": "string" - } - } - }, - "state_json": { - "_type": "Value", - "dtype": "large_string" - } - }, - "input_hash": { - "_type": "Value", - "dtype": "string" - }, - "language": { - "_type": "Value", - "dtype": "string" - }, - "legacy_aux_json": { - "_type": "Value", - "dtype": "large_string" - }, - "provenance_json": { - "_type": "Value", - "dtype": "large_string" - }, - "schema_version": { - "_type": "Value", - "dtype": "string" - }, - "split": { - "_type": "Value", - "dtype": "string" - }, - "targets": { - "_type": "List", - "feature": { - "annotation_kind": { - "_type": "Value", - "dtype": "string" - }, - "decision_id": { - "_type": "Value", - "dtype": "string" - }, - "ids": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "string" - } - }, - "kind": { - "_type": "Value", - "dtype": "string" - }, - "metadata_json": { - "_type": "Value", - "dtype": "large_string" - }, - "probabilities": { - "_type": "List", - "feature": { - "_type": "Value", - "dtype": "float64" - } - } - } - } - }, - "schema_version": "system_one.v1", - "source_subset": "wiqa", - "structured_statistics": { - "test": { - "annotation_kinds": { - "hard_label": 100 - }, - "counts": { - "cases": 100, - "decisions": 100, - "labeled_decisions": 100 - }, - "decision_types": { - "choice": 100 - } - } - }, - "task_types": { - "choice": 100 - }, - "upstream_datasets": [ - { - "license": [ - "apache-2.0" - ], - "license_source": "https://huggingface.co/datasets/allenai/wiqa/blob/8dda4b5e237452fb939b39326f68ad6607e75ab6/README.md", - "name": "allenai/wiqa", - "revision": "8dda4b5e237452fb939b39326f68ad6607e75ab6", - "url": "https://huggingface.co/datasets/allenai/wiqa" - } - ] - }, - "synthetic_gpt6astra_score": { - "description": "100 original English synthetic score evaluation questions with varied instructions and contexts; author-intended labels and self-review, not independently validated human gold.", - "evaluation_suite": null, - "language": [ - "en" - ], - "source_subset": "authored_score_100", - "schema_version": "system_one.v1", - "schema": { - "schema_version": { - "dtype": "string", - "_type": "Value" - }, - "case_id": { - "dtype": "string", - "_type": "Value" - }, - "group_id": { - "dtype": "string", - "_type": "Value" - }, - "input_hash": { - "dtype": "string", - "_type": "Value" - }, - "split": { - "dtype": "string", - "_type": "Value" - }, - "language": { - "dtype": "string", - "_type": "Value" - }, - "input": { - "state_json": { - "dtype": "large_string", - "_type": "Value" - }, - "decisions": { - "feature": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "kind": { - "dtype": "string", - "_type": "Value" - }, - "type": { - "dtype": "string", - "_type": "Value" - }, - "instructions_json": { - "dtype": "large_string", - "_type": "Value" - }, - "system_prompt": { - "dtype": "large_string", - "_type": "Value" - }, - "criteria": { - "feature": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "description_json": { - "dtype": "large_string", - "_type": "Value" - }, - "value": { - "dtype": "float64", - "_type": "Value" - } - }, - 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