{
  "dataset": "TARA English Tutor Instructions",
  "publisher": "sraivante",
  "source_project": "CUSTOM_LLM4",
  "copyright": "Copyright (c) 2026 sraivante; original authored dataset content and selection/arrangement.",
  "license": "Apache-2.0",
  "source_code_license": "MIT; original notice retained in SOURCE_LICENSE_MIT",
  "original_content_declared": true,
  "teacher_reviewed": false,
  "source_generation": {
    "concept_records": 54,
    "method": "Deterministic original curriculum templates plus fixed help-seeking examples, eight grade profiles, five question variants and encouraging responses.",
    "seed": 42,
    "validation_fraction_requested": 0.1,
    "split_policy": "SHA256 of seed and group_id assigns all paraphrases of a concept to one split.",
    "third_party_textbook_passages_in_source": false
  },
  "files": {
    "train": {
      "path": "data/train.jsonl",
      "records": 1138,
      "bytes": 2651491,
      "sha256": "33a9949ef2e43f97581ba6e371007298027c35c4266924c40a5dc8c3dc25ada0"
    },
    "validation": {
      "path": "data/validation.jsonl",
      "records": 126,
      "bytes": 288892,
      "sha256": "dc1d73be7d960fa952303951aac2ed45b1068e3aeda17c2a28b8a0407fd6a47f"
    }
  },
  "model_repository": "sraivante/TARA-English-Tutor-3B",
  "model_association": {
    "original_colab_bundle_sha256": "c2466fe27b2fc0ac53759417eb84d98530b8b4617a6c2f1d65761aeb777e36c3",
    "original_training_workflow_notebook_sha256": "95da45fc499b086b18956079eb2f725f3a8f58f50d82064bd02ce6504e5f27c3",
    "original_bundle_reproduces_current_data_byte_for_byte": true,
    "local_generation_reproduces_current_data_byte_for_byte": true,
    "original_training_run_dataset_hashes_available": false,
    "original_training_manifest_available": false,
    "historical_identity_note": "The published files exactly reproduce the original Colab bundle's deterministic build. No saved dataset hash from the actual Colab training run was available, so byte-for-byte historical identity with that run cannot independently be proven."
  },
  "audit": {
    "schema_errors": 0,
    "vocabulary_warning_rows": 0,
    "duplicate_message_records": 0,
    "overlap": {
      "ids": 0,
      "groups": 0,
      "messages": 0,
      "user_prompts": 0
    },
    "teacher_reviewed_records": 0
  },
  "source_files": {
    "LICENSE": {
      "sha256": "4d0003131a2e906712f371183385028862931c49f3b017ad61777dbca45287b9",
      "bytes": 1084
    },
    "configs/training.json": {
      "sha256": "dac226782acb193f78197c02c202db37bdf462b2a06560758c85dbfae2637bd9",
      "bytes": 654
    },
    "scripts/audit_dataset.py": {
      "sha256": "372b4dc1ad4b5d755405925f01c83e9ad8fda78e08714309997a0b48f24fbd07",
      "bytes": 1705
    },
    "scripts/evaluate_adapter.py": {
      "sha256": "cb1cb023c0148bb03d01f48ec8a03107366641063a8827dd52cad2b79e120818",
      "bytes": 4029
    },
    "scripts/export_review_sheet.py": {
      "sha256": "766608a288233474a2fcc9e054bb5735e894917e51577b9eb56f6fa27c6b064f",
      "bytes": 2448
    },
    "scripts/merge_adapter.py": {
      "sha256": "6ec7bfff5c7e7b48eabc367bb97a37952ee22243938fdc0a89b0a8b70b901258",
      "bytes": 1669
    },
    "scripts/train_qlora.py": {
      "sha256": "23bfac854b149180e7047858ee983f95133300148fa937bd13dcd3c464fea89f",
      "bytes": 10982
    },
    "src/cbse_tutor/__init__.py": {
      "sha256": "d4af2f36b89b5bd04da2912b8073115871010b2b4ecd7de10978ca90ba74891c",
      "bytes": 253
    },
    "src/cbse_tutor/curriculum.py": {
      "sha256": "19ddb98f3b143998186ff08e87c0db0fb903f9bc262dcd8e2d09a6f212223900",
      "bytes": 2766
    },
    "src/cbse_tutor/dataset.py": {
      "sha256": "b344672f2c245212ccbb58c077f26917cad3c7a05bf8ac92be10c801975fab22",
      "bytes": 10945
    },
    "src/cbse_tutor/engine.py": {
      "sha256": "110ac5b41bb2de2528e4fbceb7e78e020441f4cbc14fad84b562f5329b095870",
      "bytes": 11942
    },
    "src/cbse_tutor/profiles.py": {
      "sha256": "930f2bd43bb48fe41762f0f3157b57961841028dc299c01a092fd89a6331da56",
      "bytes": 6073
    },
    "src/cbse_tutor/prompting.py": {
      "sha256": "0048539e643945efa86d4c09f7e30f481590c3801b15dadd73c8275d55cbf406",
      "bytes": 3421
    },
    "src/cbse_tutor/resources/concepts.json": {
      "sha256": "f6c9d307ff0e0929da152caf3ed9615d2986878144d4ed592f5f19575737fcda",
      "bytes": 33698
    },
    "src/cbse_tutor/resources/eval_prompts.json": {
      "sha256": "5e393efab6b91fe0398ff9728b0bfee44d4ce0b714f63b6a44d6a1572c09313f",
      "bytes": 2987
    },
    "src/cbse_tutor/resources/vocabulary/tier_0.txt": {
      "sha256": "b63a8f590698e7e92632f7624582066010261bf8a3c6a7fb3f027d9b368e224c",
      "bytes": 1289
    },
    "src/cbse_tutor/resources/vocabulary/tier_1.txt": {
      "sha256": "4ec6e1fcfdcfb1078ae26e15cc28e75c10cd707a75b8372d4ffebc22f4907a54",
      "bytes": 545
    },
    "src/cbse_tutor/resources/vocabulary/tier_2.txt": {
      "sha256": "3e185c05f5792c3678f3e0f08b5dfd695bb4e7ba636464cab418f3a40dec533e",
      "bytes": 542
    },
    "src/cbse_tutor/resources/vocabulary/tier_3.txt": {
      "sha256": "dec57de4a1b94eb1aa1142c35ddd5699fed8e132e888ca6d582e0def6ed52e0f",
      "bytes": 662
    },
    "src/cbse_tutor/resources/vocabulary/tier_4.txt": {
      "sha256": "f70cf7657564c0cbc72b35d60f39ce5fa48c706b340a72a94f1489e3fd5beff7",
      "bytes": 624
    },
    "src/cbse_tutor/resources/vocabulary/tier_5.txt": {
      "sha256": "77313a786f9628624f38c12a45b69675b27b2fa2e8470c3ec26215917e50fbf9",
      "bytes": 638
    },
    "src/cbse_tutor/resources/vocabulary/tier_6.txt": {
      "sha256": "413d6796d7efbd714fcecfd8c6129997e124e3d5b7dc92a3162922ef95d99062",
      "bytes": 553
    },
    "src/cbse_tutor/resources/vocabulary/tier_7.txt": {
      "sha256": "8775b549727d73fc1e9d012488b35aad8c4e4cf884f6cd9e31741e5f63f9bc2a",
      "bytes": 606
    },
    "src/cbse_tutor/safety.py": {
      "sha256": "266344f7c281ae7d009052f24de83706d494b8113d0ddfb6c28c5fee3567a7c8",
      "bytes": 7208
    },
    "src/cbse_tutor/schemas.py": {
      "sha256": "139dd4d217fed2b122e35133be6bf408ab2fc86e34cde2c62bf77531580b5f34",
      "bytes": 2114
    },
    "src/cbse_tutor/vocabulary.py": {
      "sha256": "e6df15fa5fcfb0825e6c77ff21c400aa2a07e49613bf5bfa334ad88729a90e65",
      "bytes": 7875
    }
  },
  "scope": "The separate 300M scratch checkpoint and its pretraining corpora are not part of this 3B fine-tune."
}