Add search_jev_unified_v2_release_20260928 dataset

.gitattributes

@@ -58,3 +58,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+qd_quality_sidecar.jsonl filter=lfs diff=lfs merge=lfs -text
+test.jsonl filter=lfs diff=lfs merge=lfs -text
+test_index.jsonl filter=lfs diff=lfs merge=lfs -text
+train.jsonl filter=lfs diff=lfs merge=lfs -text
+train_index.jsonl filter=lfs diff=lfs merge=lfs -text
+val.jsonl filter=lfs diff=lfs merge=lfs -text
+val_index.jsonl filter=lfs diff=lfs merge=lfs -text

DATA_REPORT.md

@@ -0,0 +1,237 @@
+# search_jev_unified_v2 数据报告（2026-09-28）
+
+对象：本目录 `train/val/test.jsonl` + `*_index.jsonl`（正式版，899,048 行）。
+全部数字由全量扫描得出（扫描前已按 `manifest.json` 复核六文件 SHA-256），
+机器可读版本见 [`data_report.json`](data_report.json)。
+
+## 1. 总量
+
+| 切分 | 行数 | 题数 | choice | score | noul |
+|---|---:|---:|---:|---:|---:|
+| train | 487,293 | 719,226 | 216,342 | 279,087 | 223,797 |
+| val | 159,374 | 201,082 | 48,901 | 52,671 | 99,510 |
+| test | 252,381 | 297,873 | 84,526 | 36,293 | 177,054 |
+| 合计 | 899,048 | 1,218,181 | 349,769 | 368,051 | 500,361 |
+
+- train 平均 1.48 题/行（qd_quality 每行 4–5 题、helpsteer2 5 维，其余多为 1–2 题）。
+- 输入级检查：三切分内同 (state, questions) 重复 0、同输入标签冲突 0。
+- 指令多样化行：train 252,752 / val 31,996 / test 41,328（索引带 `instruction_variant`）。
+
+## 2. 任务族
+
+| task_family | train | val | test | 合计 | train core | train aux |
+|---|---:|---:|---:|---:|---:|---:|
+| `retrieval_judgment` | 153,990 | 43,446 | 18,080 | 215,516 | 66,482 | 87,508 |
+| `query_understanding` | 74,599 | 48,263 | 45,211 | 168,073 | 64,527 | 10,072 |
+| `evidence_judgment` | 62,482 | 20,328 | 17,708 | 100,518 | 45,568 | 16,914 |
+| `general_understanding` | 61,511 | 6,413 | 6,437 | 74,361 | – | 61,511 |
+| `search_action` | 56,981 | 10,640 | 15,793 | 83,414 | 51,886 | 5,095 |
+| `query_assessment` | 44,592 | 25,194 | 23,543 | 93,329 | – | 44,592 |
+| `query_classification` | 33,138 | 5,090 | 11,461 | 49,689 | 1,764 | 31,374 |
+| `sealed_evaluation` | – | – | 114,148 | 114,148 | – | – |
+
+- train：core 230,227（47.2%）/ aux 257,066（52.8%）。val/test 行无 `training_lane`。
+- `sealed_evaluation`（只在 test）：qrecc_test_equivalence 29,704、candy_evidence 39,989、search_arena_intent 20,127、
+  ragtruth 17,721、frames 5,976、agentrewardbench 631。它们是封存官方评测源，训练中无同源数据，单独报告。
+- val 中 query_understanding 占 30%（atec 19,357 行），test 中 sealed_evaluation 占 45%；
+  **不要直接看 val/test 总体准确率**，按族 / 来源分层汇总。
+
+按 `input_origin`：
+
+| input_origin | train | val | test | 合计 |
+|---|---:|---:|---:|---:|
+| `search_pool`（搜索主池） | 213,120 | 111,787 | 200,268 | 525,175 |
+| `search_hardneg` | 86,024 | 8,506 | 8,153 | 102,683 |
+| `query_assessment` | 44,592 | 25,194 | 23,543 | 93,329 |
+| `general_mix` | 61,511 | 6,413 | 6,437 | 74,361 |
+| `jev_extra`（qd_quality_v1） | 50,672 | 2,478 | 2,615 | 55,765 |
+| `query_addon`（query 分类补充） | 31,374 | 4,996 | 11,365 | 47,735 |
+
+## 3. 逐来源
+
+难度列 = 均值（档位范围）；置信度列 = 该来源全部题 `confidence` 均值。语言为索引 `language_heuristic` 主值。
+
+| task_family | source | capability | train lane | label_tier | 语言 | train | val | test | 难度 | 置信度 |
+|---|---|---|---|---|---|---:|---:|---:|---|---:|
+| evidence_judgment | `evidence/cfever_ev` | evidence | aux | derived_evidence | zh | 6,935 | 0 | 0 | 3.00 (3) | 0.850 |
+| evidence_judgment | `evidence/trendfact_verdict` | evidence | core | source_verdict | zh | 5,847 | 318 | 334 | 3.18 (3–4) | 0.900 |
+| evidence_judgment | `evidence/vitaminc` | evidence | core | source_verdict | en | 25,069 | 0 | 0 | 2.00 (2) | 0.900 |
+| evidence_judgment | `evidence/vitaminc_conflict` | evidence | aux | derived_conflict | en | 9,979 | 18,628 | 16,338 | 3.00 (3–4) | 0.850 |
+| evidence_judgment | `search_hardneg/hn_suff` | evidence_sufficiency | core | derived_llm_filtered | en | 14,652 | 1,382 | 1,036 | 4.05 (4–5) | 0.905 |
+| general_understanding | `classification/amazon_reviews_multi_zh` | review_rating | aux | original_label | zh | 4,000 | 400 | 400 | 3.00 (3) | 0.970 |
+| general_understanding | `classification/chnsenticorp` | sentiment_binary | aux | original_label | zh | 3,963 | 400 | 400 | 1.00 (1–2) | 0.970 |
+| general_understanding | `classification/clue_cmnli` | nli | aux | original_label | zh | 3,000 | 400 | 400 | 3.00 (3) | 0.900 |
+| general_understanding | `classification/clue_csl` | keyword_match | aux | original_label | zh | 3,000 | 400 | 400 | 1.96 (1–2) | 0.970 |
+| general_understanding | `classification/clue_ocnli` | nli | aux | original_label | zh | 5,000 | 400 | 400 | 3.00 (3) | 0.970 |
+| general_understanding | `classification/clue_tnews` | topic_classification | aux | original_label | zh | 5,000 | 400 | 400 | 2.00 (2) | 0.970 |
+| general_understanding | `classification/clue_wsc` | coreference | aux | original_label | zh | 752 | 60 | 101 | 3.00 (3) | 0.970 |
+| general_understanding | `classification/multi_emotion_dialogue` | emotion | aux | original_label | zh | 2,892 | 115 | 111 | 2.00 (2) | 0.900 |
+| general_understanding | `classification/online_shopping_10cats` | sentiment_binary | aux | original_label | zh | 3,959 | 397 | 400 | 1.00 (1–2) | 0.970 |
+| general_understanding | `classification/thucnews_title` | topic_classification | aux | original_label | zh | 3,000 | 400 | 400 | 2.00 (2) | 0.970 |
+| general_understanding | `classification/weibo_senti_100k` | sentiment_binary | aux | original_label | zh | 5,000 | 400 | 400 | 1.00 (1) | 0.970 |
+| general_understanding | `qa/clue_c3` | reading_mc | aux | original_label | zh | 3,000 | 400 | 400 | 3.43 (3–4) | 0.970 |
+| general_understanding | `qa/logiqa_zh` | logic_mc | aux | original_label | zh | 2,000 | 400 | 400 | 4.00 (4) | 0.970 |
+| general_understanding | `scoring/coig_p` | preference_pair | aux | original_label | zh | 3,000 | 400 | 400 | 3.64 (3–4) | 0.970 |
+| general_understanding | `scoring/cvalues_zh` | preference_pair | aux | original_label | zh | 3,000 | 400 | 400 | 3.00 (3–4) | 0.970 |
+| general_understanding | `scoring/douban_reviews_1to5` | review_rating | aux | original_label | zh | 4,000 | 400 | 400 | 3.00 (3) | 0.970 |
+| general_understanding | `scoring/helpsteer2_0to4` | response_quality | aux | original_label | en | 2,000 | 229 | 208 | 4.77 (4–5) | 0.970 |
+| general_understanding | `scoring/helpsteer3_chinese` | preference_pair | aux | original_label | zh | 945 | 12 | 17 | 3.74 (3–5) | 0.970 |
+| general_understanding | `scoring/jd_review_1to5` | review_rating | aux | original_label | zh | 4,000 | 400 | 400 | 3.00 (3) | 0.920 |
+| query_assessment | `query_assessment/query_info` | query_info | aux | llm_vote / ladder_construct / structural_anchor | zh | 14,764 | 9,819 | 9,139 | 2.66 (2–3) | 0.869 |
+| query_assessment | `query_assessment/query_need` | query_need | aux | llm_vote / structural_anchor / llm_generated | zh | 17,914 | 7,602 | 6,974 | 3.00 (3) | 0.882 |
+| query_assessment | `query_assessment/query_noise` | query_noise | aux | real_query_rule / synthetic_rule / llm_generated | zh | 11,914 | 7,773 | 7,430 | 2.00 (2) | 0.953 |
+| query_classification | `classification/banking77` | query_classification | aux | original_intent_transfer | en | 9,973 | 0 | 3,071 | 2.00 (2) | 0.970 |
+| query_classification | `classification/clinc150` | query_classification | aux | original_intent_transfer | en | 10,594 | 3,092 | 5,499 | 2.00 (2) | 0.970 |
+| query_classification | `classification/massive_zh` | query_classification | aux | original_intent_transfer | zh | 10,807 | 1,904 | 2,795 | 2.00 (2) | 0.970 |
+| query_classification | `decision/kuake_qic` | intent | core | original_intent | zh | 1,764 | 94 | 96 | 2.00 (2) | 0.970 |
+| query_understanding | `retrieval/afqmc` | intent_equivalence | core | original_binary | zh | 10,847 | 3,070 | 0 | 2.00 (2) | 0.970 |
+| query_understanding | `retrieval/atec` | intent_equivalence | core | original_binary | zh | 8,849 | 19,357 | 20,000 | 2.00 (2) | 0.970 |
+| query_understanding | `retrieval/bq_corpus` | intent_equivalence | core | original_binary | zh | 10,792 | 8,703 | 8,819 | 2.00 (2) | 0.970 |
+| query_understanding | `retrieval/chip_sts` | intent_equivalence | core | original_binary | zh | 7,771 | 0 | 0 | 2.00 (2) | 0.970 |
+| query_understanding | `retrieval/dialogue_rewrite_equivalence` | rewrite | aux | weak_negative | en | 5,177 | 1,836 | 1,960 | 1.50 (1–2) | 0.700 |
+| query_understanding | `retrieval/lcqmc` | intent_equivalence | core | original_binary | zh | 18,287 | 8,389 | 12,465 | 2.00 (2) | 0.970 |
+| query_understanding | `retrieval/paws_x_zh` | intent_equivalence | core | original_binary | zh | 7,981 | 1,830 | 1,967 | 2.00 (2) | 0.970 |
+| query_understanding | `retrieval/qrecc_train_equivalence` | rewrite | aux | weak_negative | en | 4,895 | 5,078 | 0 | 1.87 (1–3) | 0.700 |
+| retrieval_judgment | `retrieval/duretrieval` | relevance | aux | derived_qrels | zh | 5,918 | 780 | 642 | 1.88 (1–3) | 0.900 |
+| retrieval_judgment | `retrieval/kuake_qqr` | relevance | core | native_grade | zh | 6,866 | 0 | 0 | 2.00 (2) | 0.950 |
+| retrieval_judgment | `retrieval/kuake_qtr` | relevance | core | native_grade | zh | 7,882 | 0 | 0 | 3.00 (3) | 0.950 |
+| retrieval_judgment | `retrieval/multi_cpr_ecom` | relevance | aux | derived_qrels | zh | 7,493 | 2,970 | 0 | 1.67 (1–2) | 0.900 |
+| retrieval_judgment | `retrieval/multi_cpr_medical` | relevance | aux | derived_qrels | zh | 7,375 | 3,998 | 0 | 1.69 (1–2) | 0.900 |
+| retrieval_judgment | `retrieval/multi_cpr_video` | relevance | aux | derived_qrels | zh | 7,399 | 2,683 | 0 | 1.66 (1–3) | 0.900 |
+| retrieval_judgment | `retrieval/qbqtc` | relevance | core | native_grade | zh | 17,594 | 18,734 | 3,681 | 2.00 (2) | 0.950 |
+| retrieval_judgment | `retrieval/qd_quality_v1` | qd_quality | aux | llm_teacher | zh | 50,672 | 2,478 | 2,615 | 4.35 (4–5) | 0.832 |
+| retrieval_judgment | `retrieval/t2reranking` | relevance | core | original_binary | zh | 14,654 | 3,582 | 3,370 | 2.14 (2–3) | 0.914 |
+| retrieval_judgment | `retrieval/t2retrieval` | relevance | aux | derived_qrels | zh | 8,651 | 6,255 | 5,868 | 2.00 (1–3) | 0.900 |
+| retrieval_judgment | `search_hardneg/hn_gain` | retrieval_gain | core | derived_llm_filtered | en | 19,486 | 1,966 | 1,904 | 3.18 (3–4) | 0.874 |
+| sealed_evaluation | `decision/agentrewardbench` | sealed_evaluation | – | official_eval | en | 0 | 0 | 631 | 3.97 (3–4) | 0.970 |
+| sealed_evaluation | `decision/search_arena_intent` | sealed_evaluation | – | official_eval | en | 0 | 0 | 20,127 | 2.00 (2) | 0.970 |
+| sealed_evaluation | `evidence/candy_evidence` | sealed_evaluation | – | official_eval | zh | 0 | 0 | 39,989 | 2.00 (2) | 0.970 |
+| sealed_evaluation | `evidence/ragtruth` | sealed_evaluation | – | official_eval | en | 0 | 0 | 17,721 | 3.92 (3–4) | 0.970 |
+| sealed_evaluation | `retrieval/frames` | sealed_evaluation | – | official_eval | en | 0 | 0 | 5,976 | 3.00 (3) | 0.970 |
+| sealed_evaluation | `retrieval/qrecc_test_equivalence` | sealed_evaluation | – | official_eval | en | 0 | 0 | 29,704 | 1.86 (1–3) | 0.860 |
+| search_action | `decision/xyz_aquila_action` | action_imitation | aux | weak_demonstration | en | 5,095 | 5,482 | 10,580 | 2.98 (2–4) | 0.700 |
+| search_action | `search_hardneg/hn_next_hop` | next_query | core | derived_llm_filtered | en | 29,422 | 2,924 | 2,923 | 2.03 (2–3) | 0.949 |
+| search_action | `search_hardneg/hn_query_fit` | query_fit | core | derived_llm_filtered | en | 22,464 | 2,234 | 2,290 | 3.04 (3–4) | 0.925 |
+
+query_classification 补充行（banking77 / clinc150 / massive_zh）索引无 `language_heuristic`，上表语言按源数据集标注。
+
+只有 train、无评估切分的来源：cfever_ev、vitaminc、chip_sts、kuake_qqr、kuake_qtr；这些能力只能在同族其他来源上评估。
+afqmc、multi_cpr_* 无 test，banking77 无 val。
+
+## 4. 标签来源与监督强度
+
+| label_tier | train | val | test | 合计 |
+|---|---:|---:|---:|---:|
+| `original_binary` | 79,181 | 44,931 | 46,621 | 170,733 |
+| `official_eval` | 0 | 0 | 114,148 | 114,148 |
+| `derived_llm_filtered` | 86,024 | 8,506 | 8,153 | 102,683 |
+| `original_label` | 61,511 | 6,413 | 6,437 | 74,361 |
+| `derived_qrels` | 36,836 | 16,686 | 6,510 | 60,032 |
+| `llm_teacher` | 50,672 | 2,478 | 2,615 | 55,765 |
+| `native_grade` | 32,342 | 18,734 | 3,681 | 54,757 |
+| `llm_vote` | 26,617 | 13,168 | 11,301 | 51,086 |
+| `original_intent_transfer` | 31,374 | 4,996 | 11,365 | 47,735 |
+| `derived_conflict` | 9,979 | 18,628 | 16,338 | 44,945 |
+| `source_verdict` | 30,916 | 318 | 334 | 31,568 |
+| `weak_demonstration` | 5,095 | 5,482 | 10,580 | 21,157 |
+| `weak_negative` | 10,072 | 6,914 | 1,960 | 18,946 |
+| `real_query_rule` | 5,981 | 3,875 | 3,418 | 13,274 |
+| `synthetic_rule` | 5,683 | 3,696 | 3,725 | 13,104 |
+| `ladder_construct` | 4,079 | 2,687 | 2,592 | 9,358 |
+| `derived_evidence` | 6,935 | 0 | 0 | 6,935 |
+| `structural_anchor` | 1,470 | 1,349 | 1,958 | 4,777 |
+| `original_intent` | 1,764 | 94 | 96 | 1,954 |
+| `llm_generated` | 762 | 419 | 549 | 1,730 |
+
+- train 按 `supervision`：original 205,714 / derived 162,068 / weak 88,137 / 未标（query_addon）31,374；`weak=true` 93,218 行（19.1%）。
+- train 中 LLM 参与定标的行（llm_teacher + llm_vote + llm_generated + derived_llm_filtered）共 164,075 行，占 33.7%。
+
+## 5. 难度
+
+| difficulty | train | val | test |
+|---|---:|---:|---:|
+| 1 | 27,579（5.7%） | 8,546 | 17,973 |
+| 2 | 248,930（51.1%） | 96,940 | 145,797 |
+| 3 | 132,483（27.2%） | 48,283 | 66,248 |
+| 4 | 59,577（12.2%） | 3,740 | 20,490 |
+| 5 | 18,724（3.8%） | 1,865 | 1,873 |
+
+train 各族档位占比：
+
+| task_family | 1 | 2 | 3 | 4 | 5 |
+|---|---:|---:|---:|---:|---:|
+| general_understanding | 21.2% | 22.4% | 43.7% | 10.0% | 2.7% |
+| evidence_judgment | – | 40.1% | 34.7% | 24.3% | 1.0% |
+| retrieval_judgment | 6.2% | 41.1% | 17.6% | 24.4% | 10.7% |
+| query_understanding | 6.7% | 90.9% | 2.4% | – | – |
+| query_assessment | – | 38.2% | 61.8% | – | – |
+| search_action | – | 50.5% | 48.3% | 1.3% | – |
+| query_classification | – | 100% | – | – | – |
+
+- 4–5 档几乎全部来自 qd_quality（4–5）、search_hardneg（hn_suff 4–5、hn_gain/hn_query_fit 3–4）与 helpsteer2/logiqa；
+  val 的 4–5 档只有 5,605 行，4–5 档指标主要看 test（其中 sealed 源 ragtruth/agentrewardbench 贡献 4 档 16,934 行）。
+- 59 个来源中 31 个只有单一档位（如 query_classification、intent_equivalence 全为 2 档），档内无区分度，按难度加权时注意。
+
+## 6. 置信度（软标签）
+
+按题统计 `confidence`（索引镜像；noul 题为 max(p, 1−p) 对应的校准值）：
+
+| 区间 | train | val | test |
+|---|---:|---:|---:|
+| [0.95, 1.00] | 282,690（39.3%） | 100,049 | 191,329 |
+| [0.90, 0.95) | 117,044（16.3%） | 35,047 | 23,616 |
+| [0.85, 0.90) | 222,384（30.9%） | 35,946 | 34,223 |
+| [0.75, 0.85) | 75,131（10.4%） | 11,566 | 25,032 |
+| [0.60, 0.75) | 21,076（2.9%） | 17,958 | 23,222 |
+| [0.00, 0.60) | 901（0.1%） | 516 | 451 |
+
+各族题均值（全切分）：query_classification 0.970、general 0.961、query_understanding 0.940、sealed 0.941、
+query_assessment 0.898、evidence 0.875、retrieval 0.864、search_action 0.849。
+最低的层：weak_demonstration / weak_negative 恒为 0.70，llm_teacher 0.61–0.85（均值 0.832），
+llm_vote 0.45–0.95（均值 0.870）。
+
+## 7. 标签分布（train）
+
+- 二分类（noul）大多接近均衡；偏斜较明显的：atec 负例 85.9%、query_info.ambiguous 负例 73.3%、duretrieval / t2retrieval
+  正例 71.5%、afqmc 负例 68.6%、multi_cpr_* 负例约 66%、cfever_ev 负例 64.8%。search_hardneg 四个集为构造性 50/50。
+- 多分类最高类占比：trendfact_verdict refutes 55.6%、vitaminc supports 50.2%、query_noise「有效查询」63.2%、
+  query_info.missing_main「无明显缺失」49.8%、qd_quality.query_freshness never 47.4%、kuake_qic「治疗方案」35.2%；
+  hn_next_hop 四个选项位置均衡（最高 25.3%）。无任何 (来源, 题目) 的最高类占比 ≥ 0.9。
+- score 题（按软分 Σ档×概率）：qd_quality relevance 均值 1.52、satisfaction 1.15（0–3 档，偏低）、timeliness 1.93、
+  authority 2.16；kuake_qqr 均值 0.63（0–2，偏低档）；jd_review 中位数落在最高档（源分布偏 5 星）。
+
+逐 (来源, 题目) 明细见 `data_report.json` 的 `train_label_balance`。
+
+## 8. 指令多样性（train）
+
+66 个 (来源, 题目) 中：54 个 ≥ 10 种指令，5 个 4 种（search_hardneg 四集、query_noise.noise），
+3 个 3 种（query_info.info_level、query_need.need_level、query_noise.noise_type），
+4 个 2 种（query_info.ambiguous / info_pair / missing_main、query_need.freshness）；**单一指令 0 个**。
+query_assessment 与 search_hardneg 是剩余的低多样性来源。
+
+## 9. 输入长度
+
+`state` 序列化（`json.dumps(ensure_ascii=False)`）字符数，全切分：
+
+| task_family | 行数 | p50 | p95 | max | >1024 | >2048 |
+|---|---:|---:|---:|---:|---:|---:|
+| general_understanding | 74,361 | 65 | 1,578 | 22,140 | 7.5% | 3.6% |
+| evidence_judgment | 100,518 | 376 | 2,785 | 5,917 | 18.8% | 11.1% |
+| retrieval_judgment | 215,516 | 283 | 1,410 | 4,172 | 17.6% | 1.4% |
+| query_understanding | 168,073 | 49 | 275 | 2,740 | 1.2% | 0.1% |
+| query_assessment | 93,329 | 13 | 53 | 135 | 0 | 0 |
+| search_action | 83,414 | 250 | 3,758 | 4,165 | 24.9% | 24.6% |
+| query_classification | 49,689 | 33 | 80 | 435 | 0 | 0 |
+| sealed_evaluation | 114,148 | 216 | 1,810 | 4,054 | 21.1% | 0.6% |
+
+不含 questions 文本；按 token 估算时中文约 1 字 ≈ 1 token、英文约 4 字符 ≈ 1 token。
+
+## 10. 使用时需要注意
+
+1. **语言**：train 中中文主导 63.6%、拉丁文主导 29.8%；search_action / hn_* / evidence 的 vitaminc 系列全部是英文，
+   search_action 族目前没有中文行。
+2. **评估切分构成不均**：val 被 atec（19,357）、qbqtc（18,734）、vitaminc_conflict（18,628）主导；test 45% 为 sealed。
+   汇总指标请按来源宏平均。
+3. **弱标签层**：weak_demonstration（xyz_aquila 示范动作）与 weak_negative（改写等价的构造负例）置信度 0.70，
+   qd_quality 为 LLM 教师标签——按 README「使用建议」降权。
+4. **已移除的冲突样本**：同输入但标签不一致的 56 行（train 32 / val 18 / test 6）已整组移除，不在本数据中。

README.md

@@ -0,0 +1,115 @@
+---
+language:
+- zh
+- en
+pretty_name: search_jev_unified_v2
+size_categories:
+- 100K<n<1M
+task_categories:
+- text-classification
+configs:
+- config_name: default
+  default: true
+  data_files:
+  - split: train
+    path: train.jsonl
+  - split: validation
+    path: val.jsonl
+  - split: test
+    path: test.jsonl
+- config_name: index
+  data_files:
+  - split: train
+    path: train_index.jsonl
+  - split: validation
+    path: val_index.jsonl
+  - split: test
+    path: test_index.jsonl
+- config_name: qd_quality_sidecar
+  data_files:
+  - split: train
+    path: qd_quality_sidecar.jsonl
+---
+
+# search_jev_unified_v2：搜索决策 + Query 理解 + Query 评估 统一 JEV 数据集
+
+面向搜索智能体的判别式训练 / 评测数据：检索相关性与质量、证据判断、搜索动作决策、query 理解与分类、query 质量评估，
+外加一组通用中文理解任务作辅助。全部样本统一为 JEV 格式（state / questions / answers），可以直接混合训练。
+
+| 切分 | 行数 |
+|---|---:|
+| `train.jsonl` | 487,293 |
+| `val.jsonl` | 159,374 |
+| `test.jsonl` | 252,381 |
+| 合计 | 899,048 |
+
+完整统计（逐来源行数、难度、置信度、标签分布、输入长度）见 [DATA_REPORT.md](DATA_REPORT.md)，机器可读版本见 `data_report.json`。
+
+## 文件
+
+| 文件 | 说明 |
+|---|---|
+| `{train,val,test}.jsonl` | 模型数据：每行 `state` / `questions` / `answers` / `difficulty` |
+| `{train,val,test}_index.jsonl` | 与数据文件**逐行对齐**的元数据（来源、任务族、标签层级等），用于筛选、加权与分层评测，不作为模型输入 |
+| `qd_quality_sidecar.jsonl` | `retrieval/qd_quality_v1` 行的补充元数据（按 `sample_id` 关联），用于降权 |
+| `manifest.json` | 行数与各文件 SHA-256 |
+| `DATA_REPORT.md` / `data_report.json` | 数据统计报告 |
+
+## 数据格式
+
+```json
+{"state": {"premise": "我走到近前,见是一位工人模样的中年妇女", "hypothesis": "我看见了一位妇女。"},
+ "questions": {"nli": {"type": "choice", "instructions": "前提能不能撑起假设？还是矛盾或无关？",
+   "criteria": {"entailment": "蕴含（可由前提推出）", "contradiction": "矛盾（与前提冲突）", "neutral": "无关（前提不能确定）"}}},
+ "answers": {"nli": {"type": "choice", "choice": "entailment",
+   "probabilities": {"entailment": 0.98, "contradiction": 0.01, "neutral": 0.01}, "confidence": 0.97}},
+ "difficulty": 3}
+```
+
+- **模型输入 = `state` + `questions`，监督目标 = `answers`**。一行可含多道题（train 平均 1.48 题/行）。
+- 题型：`choice`（多选一，`criteria` 为选项说明）、`score`（有序档位，`score` 为 Σ档位×概率）、`noul`（二值，值即为"是"的概率）。
+- `answers` 是**软标签**：`probabilities` / `confidence` 为 [0,1] 连续值，按标签来源可靠性校准，可直接用作软目标或样本权重；
+  离散答案取 `choice`（或 argmax）。索引中的 `gold` 字段保留离散标签。
+- `difficulty`（1–5）用于分层采样、课程学习、按难度分桶评测，**不要拼进模型输入**。
+- 同一任务的 `instructions` 有多种改写（中英文混合），模型应依据指令而不是来源作答。
+
+## 索引字段（`*_index.jsonl`）
+
+| 字段 | 说明 |
+|---|---|
+| `sample_id` | 全局唯一 ID |
+| `source` | 来源数据集，如 `retrieval/t2reranking` |
+| `task_family` / `capability` | 任务族 / 细分能力，评测按此分层 |
+| `training_lane` | 仅 train：`core`（主任务）/ `aux`（辅助任务） |
+| `label_tier` / `supervision` / `weak` | 标签来源层级（原始标注、派生、LLM 教师、弱标签等） |
+| `confidence` | 各题置信度（与数据行 `answers` 一致） |
+| `difficulty` | 与数据行一致 |
+| `gold` | 各题离散标签（JSON 字符串） |
+| `language_heuristic` | 语言主值（zh_dominant / latin_dominant 等） |
+| `instruction_variant` | 使用了改写指令的题：`{qid: "<指令池>#<编号>"}` |
+
+其余字段（`group_keys`、`source_line` 等）为溯源用，训练时可忽略。
+
+## 任务族
+
+| task_family | 内容 | train | val | test |
+|---|---|---:|---:|---:|
+| `retrieval_judgment` | query-文档相关性、检索增益、query-文档多维质量 | 153,990 | 43,446 | 18,080 |
+| `query_understanding` | query 意图等价、改写 | 74,599 | 48,263 | 45,211 |
+| `evidence_judgment` | 证据支持/反驳、证据充分性 | 62,482 | 20,328 | 17,708 |
+| `general_understanding` | 通用中文理解（NLI、情感、主题、阅读/逻辑选择、偏好对等），辅助任务 | 61,511 | 6,413 | 6,437 |
+| `search_action` | 下一步搜索动作、下一跳 query、query 适配 | 56,981 | 10,640 | 15,793 |
+| `query_assessment` | query 质量评估：无意义识别、信息量、需求量 | 44,592 | 25,194 | 23,543 |
+| `query_classification` | query 意图分类 | 33,138 | 5,090 | 11,461 |
+| `sealed_evaluation` | 封存评测源（训练中无��源数据），仅 test | – | – | 114,148 |
+
+## 使用建议
+
+- **按 `task_family` / `capability` / `source` 分层报告指标**，不要只看 val/test 总体准确率：val 由少数来源主导，test 约 45% 为 `sealed_evaluation`。
+  query 评估指标不要混入"搜索决策准确率"；helpsteer3_chinese 评估切分仅十余行，不进指标。
+- **降权低可靠标签**：`label_tier=llm_teacher`（qd_quality）、`weak=true` 的行权重应低于原始标注层；
+  qd_quality 可再结合 `qd_quality_sidecar.jsonl` 中 `orig_label` 与教师分矛盾、`rule_fix` 的行进一步降权。score 题建议用有序档位损失。
+- `confidence` 已校准，不必再做标签平滑。
+- `query_info` 的 5 档绝对分噪声较大，同时看配对题准确率与 ±1 档准确率；`query_need` 按索引 `source_lane` 分开看。
+- 语言：train 中文主导约 64%，search_action 族与 vitaminc 系列为英文。
+- 数据已做过：切分间身份键与 query 文本隔离（test > val > train）、同输入去重、同输入标签冲突样本整组移除、合成变体与评测切分的母本泄漏移除。

data_report.json

@@ -0,0 +1,2703 @@
+{
+ "dataset": "search_jev_unified_v2_release_20260928",
+ "outputs_sha256_match_manifest": true,
+ "rows": {
+  "train": 487293,
+  "val": 159374,
+  "test": 252381
+ },
+ "questions": {
+  "train": 719226,
+  "val": 201082,
+  "test": 297873
+ },
+ "question_type": {
+  "train": {
+   "choice": 216342,
+   "score": 279087,
+   "noul": 223797
+  },
+  "val": {
+   "score": 52671,
+   "noul": 99510,
+   "choice": 48901
+  },
+  "test": {
+   "score": 36293,
+   "noul": 177054,
+   "choice": 84526
+  }
+ },
+ "task_family": {
+  "general_understanding": {
+   "train": 61511,
+   "val": 6413,
+   "test": 6437
+  },
+  "evidence_judgment": {
+   "train": 62482,
+   "val": 20328,
+   "test": 17708
+  },
+  "retrieval_judgment": {
+   "train": 153990,
+   "val": 43446,
+   "test": 18080
+  },
+  "query_understanding": {
+   "train": 74599,
+   "val": 48263,
+   "test": 45211
+  },
+  "query_assessment": {
+   "train": 44592,
+   "val": 25194,
+   "test": 23543
+  },
+  "search_action": {
+   "train": 56981,
+   "val": 10640,
+   "test": 15793
+  },
+  "query_classification": {
+   "train": 33138,
+   "val": 5090,
+   "test": 11461
+  },
+  "sealed_evaluation": {
+   "test": 114148
+  }
+ },
+ "train_family_lane": {
+  "general_understanding": {
+   "aux": 61511
+  },
+  "evidence_judgment": {
+   "core": 45568,
+   "aux": 16914
+  },
+  "retrieval_judgment": {
+   "aux": 87508,
+   "core": 66482
+  },
+  "query_understanding": {
+   "core": 64527,
+   "aux": 10072
+  },
+  "query_assessment": {
+   "aux": 44592
+  },
+  "search_action": {
+   "core": 51886,
+   "aux": 5095
+  },
+  "query_classification": {
+   "aux": 31374,
+   "core": 1764
+  }
+ },
+ "input_origin": {
+  "general_mix": {
+   "train": 61511,
+   "val": 6413,
+   "test": 6437
+  },
+  "search_hardneg": {
+   "train": 86024,
+   "val": 8506,
+   "test": 8153
+  },
+  "jev_extra": {
+   "train": 50672,
+   "val": 2478,
+   "test": 2615
+  },
+  "search_pool": {
+   "train": 213120,
+   "val": 111787,
+   "test": 200268
+  },
+  "query_assessment": {
+   "train": 44592,
+   "val": 25194,
+   "test": 23543
+  },
+  "query_addon": {
+   "train": 31374,
+   "val": 4996,
+   "test": 11365
+  }
+ },
+ "label_tier": {
+  "original_label": {
+   "train": 61511,
+   "val": 6413,
+   "test": 6437
+  },
+  "derived_llm_filtered": {
+   "train": 86024,
+   "val": 8506,
+   "test": 8153
+  },
+  "llm_teacher": {
+   "train": 50672,
+   "val": 2478,
+   "test": 2615
+  },
+  "original_binary": {
+   "train": 79181,
+   "val": 44931,
+   "test": 46621
+  },
+  "ladder_construct": {
+   "train": 4079,
+   "val": 2687,
+   "test": 2592
+  },
+  "llm_vote": {
+   "train": 26617,
+   "val": 13168,
+   "test": 11301
+  },
+  "native_grade": {
+   "train": 32342,
+   "val": 18734,
+   "test": 3681
+  },
+  "original_intent_transfer": {
+   "train": 31374,
+   "val": 4996,
+   "test": 11365
+  },
+  "weak_demonstration": {
+   "train": 5095,
+   "val": 5482,
+   "test": 10580
+  },
+  "structural_anchor": {
+   "train": 1470,
+   "val": 1349,
+   "test": 1958
+  },
+  "source_verdict": {
+   "train": 30916,
+   "val": 318,
+   "test": 334
+  },
+  "synthetic_rule": {
+   "train": 5683,
+   "val": 3696,
+   "test": 3725
+  },
+  "real_query_rule": {
+   "train": 5981,
+   "val": 3875,
+   "test": 3418
+  },
+  "derived_qrels": {
+   "train": 36836,
+   "val": 16686,
+   "test": 6510
+  },
+  "derived_evidence": {
+   "train": 6935
+  },
+  "weak_negative": {
+   "train": 10072,
+   "val": 6914,
+   "test": 1960
+  },
+  "llm_generated": {
+   "train": 762,
+   "val": 419,
+   "test": 549
+  },
+  "derived_conflict": {
+   "train": 9979,
+   "val": 18628,
+   "test": 16338
+  },
+  "original_intent": {
+   "train": 1764,
+   "val": 94,
+   "test": 96
+  },
+  "official_eval": {
+   "test": 114148
+  }
+ },
+ "supervision": {
+  "original": {
+   "train": 205714,
+   "val": 70490,
+   "test": 135006
+  },
+  "derived": {
+   "train": 162068,
+   "val": 58884,
+   "test": 64500
+  },
+  "weak": {
+   "train": 88137,
+   "val": 25004,
+   "test": 40879
+  },
+  "-": {
+   "train": 31374,
+   "val": 4996,
+   "test": 11365
+  },
+  "unclassified": {
+   "test": 631
+  }
+ },
+ "weak": {
+  "False": {
+   "train": 362701,
+   "val": 125917,
+   "test": 199157
+  },
+  "True": {
+   "train": 93218,
+   "val": 28461,
+   "test": 41859
+  },
+  "-": {
+   "train": 31374,
+   "val": 4996,
+   "test": 11365
+  }
+ },
+ "language_heuristic": {
+  "zh_dominant": {
+   "train": 310093,
+   "val": 112675,
+   "test": 133512
+  },
+  "latin_dominant": {
+   "train": 145105,
+   "val": 41365,
+   "test": 105164
+  },
+  "-": {
+   "train": 31374,
+   "val": 4996,
+   "test": 11365
+  },
+  "mixed_or_other": {
+   "train": 721,
+   "val": 338,
+   "test": 2340
+  }
+ },
+ "difficulty": {
+  "train": {
+   "1": 27579,
+   "2": 248930,
+   "3": 132483,
+   "4": 59577,
+   "5": 18724
+  },
+  "val": {
+   "1": 8546,
+   "2": 96940,
+   "3": 48283,
+   "4": 3740,
+   "5": 1865
+  },
+  "test": {
+   "1": 17973,
+   "2": 145797,
+   "3": 66248,
+   "4": 20490,
+   "5": 1873
+  }
+ },
+ "difficulty_by_family": {
+  "general_understanding": {
+   "train": {
+    "1": 13031,
+    "2": 13783,
+    "3": 26883,
+    "4": 6164,
+    "5": 1650
+   },
+   "val": {
+    "1": 1212,
+    "2": 1300,
+    "3": 2847,
+    "4": 866,
+    "5": 188
+   },
+   "test": {
+    "1": 1216,
+    "2": 1295,
+    "3": 2887,
+    "4": 887,
+    "5": 152
+   }
+  },
+  "evidence_judgment": {
+   "train": {
+    "2": 25069,
+    "3": 21651,
+    "4": 15152,
+    "5": 610
+   },
+   "val": {
+    "3": 18802,
+    "4": 1420,
+    "5": 106
+   },
+   "test": {
+    "3": 16538,
+    "4": 1065,
+    "5": 105
+   }
+  },
+  "retrieval_judgment": {
+   "train": {
+    "1": 9557,
+    "2": 63309,
+    "3": 27125,
+    "4": 37535,
+    "5": 16464
+   },
+   "val": {
+    "1": 3877,
+    "2": 33601,
+    "3": 3060,
+    "4": 1337,
+    "5": 1571
+   },
+   "test": {
+    "1": 923,
+    "2": 11120,
+    "3": 2984,
+    "4": 1437,
+    "5": 1616
+   }
+  },
+  "query_understanding": {
+   "train": {
+    "1": 4991,
+    "2": 67841,
+    "3": 1767
+   },
+   "val": {
+    "1": 3457,
+    "2": 42949,
+    "3": 1857
+   },
+   "test": {
+    "1": 980,
+    "2": 44231
+   }
+  },
+  "query_assessment": {
+   "train": {
+    "2": 17035,
+    "3": 27557
+   },
+   "val": {
+    "2": 11106,
+    "3": 14088
+   },
+   "test": {
+    "2": 10602,
+    "3": 12941
+   }
+  },
+  "search_action": {
+   "train": {
+    "2": 28755,
+    "3": 27500,
+    "4": 726
+   },
+   "val": {
+    "2": 2894,
+    "3": 7629,
+    "4": 117
+   },
+   "test": {
+    "2": 2937,
+    "3": 12689,
+    "4": 167
+   }
+  },
+  "query_classification": {
+   "train": {
+    "2": 33138
+   },
+   "val": {
+    "2": 5090
+   },
+   "test": {
+    "2": 11461
+   }
+  },
+  "sealed_evaluation": {
+   "test": {
+    "1": 14854,
+    "2": 64151,
+    "3": 18209,
+    "4": 16934
+   }
+  }
+ },
+ "instruction_variant_rows": {
+  "train": 252752,
+  "val": 31996,
+  "test": 41328
+ },
+ "confidence_buckets": {
+  "train": {
+   "[0.00,0.60)": 901,
+   "[0.60,0.75)": 21076,
+   "[0.75,0.85)": 75131,
+   "[0.85,0.90)": 222384,
+   "[0.90,0.95)": 117044,
+   "[0.95,1.00]": 282690
+  },
+  "val": {
+   "[0.00,0.60)": 516,
+   "[0.60,0.75)": 17958,
+   "[0.75,0.85)": 11566,
+   "[0.85,0.90)": 35946,
+   "[0.90,0.95)": 35047,
+   "[0.95,1.00]": 100049
+  },
+  "test": {
+   "[0.00,0.60)": 451,
+   "[0.60,0.75)": 23222,
+   "[0.75,0.85)": 25032,
+   "[0.85,0.90)": 34223,
+   "[0.90,0.95)": 23616,
+   "[0.95,1.00]": 191329
+  }
+ },
+ "confidence_by_family": {
+  "general_understanding": {
+   "n": 84109,
+   "mean": 0.9614,
+   "p10": 0.92,
+   "p50": 0.97
+  },
+  "evidence_judgment": {
+   "n": 100518,
+   "mean": 0.8751,
+   "p10": 0.85,
+   "p50": 0.85
+  },
+  "retrieval_judgment": {
+   "n": 415171,
+   "mean": 0.864,
+   "p10": 0.8,
+   "p50": 0.85
+  },
+  "query_understanding": {
+   "n": 168073,
+   "mean": 0.9396,
+   "p10": 0.7,
+   "p50": 0.97
+  },
+  "query_assessment": {
+   "n": 186997,
+   "mean": 0.8977,
+   "p10": 0.75,
+   "p50": 0.92
+  },
+  "search_action": {
+   "n": 99476,
+   "mean": 0.8491,
+   "p10": 0.7,
+   "p50": 0.91
+  },
+  "query_classification": {
+   "n": 49689,
+   "mean": 0.97,
+   "p10": 0.97,
+   "p50": 0.97
+  },
+  "sealed_evaluation": {
+   "n": 114148,
+   "mean": 0.9414,
+   "p10": 0.75,
+   "p50": 0.97
+  }
+ },
+ "confidence_by_label_tier": {
+  "original_label": {
+   "n": 84109,
+   "mean": 0.9614,
+   "min": 0.9,
+   "max": 0.97
+  },
+  "derived_llm_filtered": {
+   "n": 102683,
+   "mean": 0.9181,
+   "min": 0.85,
+   "max": 0.95
+  },
+  "llm_teacher": {
+   "n": 255420,
+   "mean": 0.8319,
+   "min": 0.61,
+   "max": 0.85
+  },
+  "original_binary": {
+   "n": 170733,
+   "mean": 0.9629,
+   "min": 0.89,
+   "max": 0.97
+  },
+  "ladder_construct": {
+   "n": 13001,
+   "mean": 0.9,
+   "min": 0.9,
+   "max": 0.9
+  },
+  "llm_vote": {
+   "n": 108121,
+   "mean": 0.8702,
+   "min": 0.45,
+   "max": 0.95
+  },
+  "native_grade": {
+   "n": 54757,
+   "mean": 0.95,
+   "min": 0.95,
+   "max": 0.95
+  },
+  "original_intent_transfer": {
+   "n": 47735,
+   "mean": 0.97,
+   "min": 0.97,
+   "max": 0.97
+  },
+  "weak_demonstration": {
+   "n": 37219,
+   "mean": 0.7,
+   "min": 0.7,
+   "max": 0.7
+  },
+  "structural_anchor": {
+   "n": 9659,
+   "mean": 0.8895,
+   "min": 0.45,
+   "max": 0.95
+  },
+  "source_verdict": {
+   "n": 31568,
+   "mean": 0.9,
+   "min": 0.9,
+   "max": 0.9
+  },
+  "synthetic_rule": {
+   "n": 26208,
+   "mean": 0.9449,
+   "min": 0.82,
+   "max": 0.98
+  },
+  "real_query_rule": {
+   "n": 26548,
+   "mean": 0.97,
+   "min": 0.97,
+   "max": 0.97
+  },
+  "derived_qrels": {
+   "n": 60032,
+   "mean": 0.9,
+   "min": 0.9,
+   "max": 0.9
+  },
+  "derived_evidence": {
+   "n": 6935,
+   "mean": 0.85,
+   "min": 0.85,
+   "max": 0.85
+  },
+  "weak_negative": {
+   "n": 18946,
+   "mean": 0.7,
+   "min": 0.7,
+   "max": 0.7
+  },
+  "llm_generated": {
+   "n": 3460,
+   "mean": 0.8594,
+   "min": 0.72,
+   "max": 0.9
+  },
+  "derived_conflict": {
+   "n": 44945,
+   "mean": 0.85,
+   "min": 0.85,
+   "max": 0.85
+  },
+  "original_intent": {
+   "n": 1954,
+   "mean": 0.97,
+   "min": 0.97,
+   "max": 0.97
+  },
+  "official_eval": {
+   "n": 114148,
+   "mean": 0.9414,
+   "min": 0.75,
+   "max": 0.97
+  }
+ },
+ "state_chars_by_family": {
+  "general_understanding": {
+   "n": 74361,
+   "p50": 65,
+   "p95": 1578,
+   "max": 22140,
+   "over": {
+    "256": 15770,
+    "512": 10400,
+    "1024": 5562,
+    "2048": 2702,
+    "4096": 627,
+    "8192": 98
+   }
+  },
+  "evidence_judgment": {
+   "n": 100518,
+   "p50": 376,
+   "p95": 2785,
+   "max": 5917,
+   "over": {
+    "256": 75089,
+    "512": 32035,
+    "1024": 18941,
+    "2048": 11185,
+    "4096": 721,
+    "8192": 0
+   }
+  },
+  "retrieval_judgment": {
+   "n": 215516,
+   "p50": 283,
+   "p95": 1410,
+   "max": 4172,
+   "over": {
+    "256": 111921,
+    "512": 74119,
+    "1024": 37901,
+    "2048": 3124,
+    "4096": 2,
+    "8192": 0
+   }
+  },
+  "query_understanding": {
+   "n": 168073,
+   "p50": 49,
+   "p95": 275,
+   "max": 2740,
+   "over": {
+    "256": 8554,
+    "512": 5953,
+    "1024": 2063,
+    "2048": 89,
+    "4096": 0,
+    "8192": 0
+   }
+  },
+  "query_assessment": {
+   "n": 93329,
+   "p50": 13,
+   "p95": 53,
+   "max": 135,
+   "over": {
+    "256": 0,
+    "512": 0,
+    "1024": 0,
+    "2048": 0,
+    "4096": 0,
+    "8192": 0
+   }
+  },
+  "search_action": {
+   "n": 83414,
+   "p50": 250,
+   "p95": 3758,
+   "max": 4165,
+   "over": {
+    "256": 40184,
+    "512": 21671,
+    "1024": 20768,
+    "2048": 20482,
+    "4096": 242,
+    "8192": 0
+   }
+  },
+  "query_classification": {
+   "n": 49689,
+   "p50": 33,
+   "p95": 80,
+   "max": 435,
+   "over": {
+    "256": 54,
+    "512": 0,
+    "1024": 0,
+    "2048": 0,
+    "4096": 0,
+    "8192": 0
+   }
+  },
+  "sealed_evaluation": {
+   "n": 114148,
+   "p50": 216,
+   "p95": 1810,
+   "max": 4054,
+   "over": {
+    "256": 50091,
+    "512": 36229,
+    "1024": 24123,
+    "2048": 696,
+    "4096": 0,
+    "8192": 0
+   }
+  }
+ },
+ "sources": {
+  "classification/amazon_reviews_multi_zh": {
+   "task_family": "general_understanding",
+   "capability": {
+    "review_rating": 4800
+   },
+   "train_lane": {
+    "aux": 4000
+   },
+   "label_tier": {
+    "original_label": 4800
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 4000,
+    "val": 400,
+    "test": 400
+   },
+   "difficulty_mean": 3.0,
+   "difficulty_levels": [
+    3
+   ],
+   "confidence_mean": 0.97
+  },
+  "classification/banking77": {
+   "task_family": "query_classification",
+   "capability": {
+    "query_classification": 13044
+   },
+   "train_lane": {
+    "aux": 9973
+   },
+   "label_tier": {
+    "original_intent_transfer": 13044
+   },
+   "language": "-",
+   "rows": {
+    "train": 9973,
+    "val": 0,
+    "test": 3071
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.97
+  },
+  "classification/chnsenticorp": {
+   "task_family": "general_understanding",
+   "capability": {
+    "sentiment_binary": 4763
+   },
+   "train_lane": {
+    "aux": 3963
+   },
+   "label_tier": {
+    "original_label": 4763
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 3963,
+    "val": 400,
+    "test": 400
+   },
+   "difficulty_mean": 1.0004,
+   "difficulty_levels": [
+    1,
+    2
+   ],
+   "confidence_mean": 0.97
+  },
+  "classification/clinc150": {
+   "task_family": "query_classification",
+   "capability": {
+    "query_classification": 19185
+   },
+   "train_lane": {
+    "aux": 10594
+   },
+   "label_tier": {
+    "original_intent_transfer": 19185
+   },
+   "language": "-",
+   "rows": {
+    "train": 10594,
+    "val": 3092,
+    "test": 5499
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.97
+  },
+  "classification/clue_cmnli": {
+   "task_family": "general_understanding",
+   "capability": {
+    "nli": 3800
+   },
+   "train_lane": {
+    "aux": 3000
+   },
+   "label_tier": {
+    "original_label": 3800
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 3000,
+    "val": 400,
+    "test": 400
+   },
+   "difficulty_mean": 3.0,
+   "difficulty_levels": [
+    3
+   ],
+   "confidence_mean": 0.9
+  },
+  "classification/clue_csl": {
+   "task_family": "general_understanding",
+   "capability": {
+    "keyword_match": 3800
+   },
+   "train_lane": {
+    "aux": 3000
+   },
+   "label_tier": {
+    "original_label": 3800
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 3000,
+    "val": 400,
+    "test": 400
+   },
+   "difficulty_mean": 1.9624,
+   "difficulty_levels": [
+    1,
+    2
+   ],
+   "confidence_mean": 0.97
+  },
+  "classification/clue_ocnli": {
+   "task_family": "general_understanding",
+   "capability": {
+    "nli": 5800
+   },
+   "train_lane": {
+    "aux": 5000
+   },
+   "label_tier": {
+    "original_label": 5800
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 5000,
+    "val": 400,
+    "test": 400
+   },
+   "difficulty_mean": 3.0,
+   "difficulty_levels": [
+    3
+   ],
+   "confidence_mean": 0.97
+  },
+  "classification/clue_tnews": {
+   "task_family": "general_understanding",
+   "capability": {
+    "topic_classification": 5800
+   },
+   "train_lane": {
+    "aux": 5000
+   },
+   "label_tier": {
+    "original_label": 5800
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 5000,
+    "val": 400,
+    "test": 400
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.97
+  },
+  "classification/clue_wsc": {
+   "task_family": "general_understanding",
+   "capability": {
+    "coreference": 913
+   },
+   "train_lane": {
+    "aux": 752
+   },
+   "label_tier": {
+    "original_label": 913
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 752,
+    "val": 60,
+    "test": 101
+   },
+   "difficulty_mean": 3.0,
+   "difficulty_levels": [
+    3
+   ],
+   "confidence_mean": 0.97
+  },
+  "classification/massive_zh": {
+   "task_family": "query_classification",
+   "capability": {
+    "query_classification": 15506
+   },
+   "train_lane": {
+    "aux": 10807
+   },
+   "label_tier": {
+    "original_intent_transfer": 15506
+   },
+   "language": "-",
+   "rows": {
+    "train": 10807,
+    "val": 1904,
+    "test": 2795
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.97
+  },
+  "classification/multi_emotion_dialogue": {
+   "task_family": "general_understanding",
+   "capability": {
+    "emotion": 3118
+   },
+   "train_lane": {
+    "aux": 2892
+   },
+   "label_tier": {
+    "original_label": 3118
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 2892,
+    "val": 115,
+    "test": 111
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.9
+  },
+  "classification/online_shopping_10cats": {
+   "task_family": "general_understanding",
+   "capability": {
+    "sentiment_binary": 4756
+   },
+   "train_lane": {
+    "aux": 3959
+   },
+   "label_tier": {
+    "original_label": 4756
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 3959,
+    "val": 397,
+    "test": 400
+   },
+   "difficulty_mean": 1.0002,
+   "difficulty_levels": [
+    1,
+    2
+   ],
+   "confidence_mean": 0.97
+  },
+  "classification/thucnews_title": {
+   "task_family": "general_understanding",
+   "capability": {
+    "topic_classification": 3800
+   },
+   "train_lane": {
+    "aux": 3000
+   },
+   "label_tier": {
+    "original_label": 3800
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 3000,
+    "val": 400,
+    "test": 400
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.97
+  },
+  "classification/weibo_senti_100k": {
+   "task_family": "general_understanding",
+   "capability": {
+    "sentiment_binary": 5800
+   },
+   "train_lane": {
+    "aux": 5000
+   },
+   "label_tier": {
+    "original_label": 5800
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 5000,
+    "val": 400,
+    "test": 400
+   },
+   "difficulty_mean": 1.0,
+   "difficulty_levels": [
+    1
+   ],
+   "confidence_mean": 0.97
+  },
+  "decision/agentrewardbench": {
+   "task_family": "sealed_evaluation",
+   "capability": {
+    "sealed_evaluation": 631
+   },
+   "train_lane": {},
+   "label_tier": {
+    "official_eval": 631
+   },
+   "language": "latin_dominant",
+   "rows": {
+    "train": 0,
+    "val": 0,
+    "test": 631
+   },
+   "difficulty_mean": 3.9667,
+   "difficulty_levels": [
+    3,
+    4
+   ],
+   "confidence_mean": 0.97
+  },
+  "decision/kuake_qic": {
+   "task_family": "query_classification",
+   "capability": {
+    "intent": 1954
+   },
+   "train_lane": {
+    "core": 1764
+   },
+   "label_tier": {
+    "original_intent": 1954
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 1764,
+    "val": 94,
+    "test": 96
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.97
+  },
+  "decision/search_arena_intent": {
+   "task_family": "sealed_evaluation",
+   "capability": {
+    "sealed_evaluation": 20127
+   },
+   "train_lane": {},
+   "label_tier": {
+    "official_eval": 20127
+   },
+   "language": "latin_dominant",
+   "rows": {
+    "train": 0,
+    "val": 0,
+    "test": 20127
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.97
+  },
+  "decision/xyz_aquila_action": {
+   "task_family": "search_action",
+   "capability": {
+    "action_imitation": 21157
+   },
+   "train_lane": {
+    "aux": 5095
+   },
+   "label_tier": {
+    "weak_demonstration": 21157
+   },
+   "language": "latin_dominant",
+   "rows": {
+    "train": 5095,
+    "val": 5482,
+    "test": 10580
+   },
+   "difficulty_mean": 2.9819,
+   "difficulty_levels": [
+    2,
+    3,
+    4
+   ],
+   "confidence_mean": 0.7
+  },
+  "evidence/candy_evidence": {
+   "task_family": "sealed_evaluation",
+   "capability": {
+    "sealed_evaluation": 39989
+   },
+   "train_lane": {},
+   "label_tier": {
+    "official_eval": 39989
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 0,
+    "val": 0,
+    "test": 39989
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.97
+  },
+  "evidence/cfever_ev": {
+   "task_family": "evidence_judgment",
+   "capability": {
+    "evidence": 6935
+   },
+   "train_lane": {
+    "aux": 6935
+   },
+   "label_tier": {
+    "derived_evidence": 6935
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 6935,
+    "val": 0,
+    "test": 0
+   },
+   "difficulty_mean": 3.0,
+   "difficulty_levels": [
+    3
+   ],
+   "confidence_mean": 0.85
+  },
+  "evidence/ragtruth": {
+   "task_family": "sealed_evaluation",
+   "capability": {
+    "sealed_evaluation": 17721
+   },
+   "train_lane": {},
+   "label_tier": {
+    "official_eval": 17721
+   },
+   "language": "latin_dominant",
+   "rows": {
+    "train": 0,
+    "val": 0,
+    "test": 17721
+   },
+   "difficulty_mean": 3.9212,
+   "difficulty_levels": [
+    3,
+    4
+   ],
+   "confidence_mean": 0.97
+  },
+  "evidence/trendfact_verdict": {
+   "task_family": "evidence_judgment",
+   "capability": {
+    "evidence": 6499
+   },
+   "train_lane": {
+    "core": 5847
+   },
+   "label_tier": {
+    "source_verdict": 6499
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 5847,
+    "val": 318,
+    "test": 334
+   },
+   "difficulty_mean": 3.1805,
+   "difficulty_levels": [
+    3,
+    4
+   ],
+   "confidence_mean": 0.9
+  },
+  "evidence/vitaminc": {
+   "task_family": "evidence_judgment",
+   "capability": {
+    "evidence": 25069
+   },
+   "train_lane": {
+    "core": 25069
+   },
+   "label_tier": {
+    "source_verdict": 25069
+   },
+   "language": "latin_dominant",
+   "rows": {
+    "train": 25069,
+    "val": 0,
+    "test": 0
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.9
+  },
+  "evidence/vitaminc_conflict": {
+   "task_family": "evidence_judgment",
+   "capability": {
+    "evidence": 44945
+   },
+   "train_lane": {
+    "aux": 9979
+   },
+   "label_tier": {
+    "derived_conflict": 44945
+   },
+   "language": "latin_dominant",
+   "rows": {
+    "train": 9979,
+    "val": 18628,
+    "test": 16338
+   },
+   "difficulty_mean": 3.0048,
+   "difficulty_levels": [
+    3,
+    4
+   ],
+   "confidence_mean": 0.85
+  },
+  "qa/clue_c3": {
+   "task_family": "general_understanding",
+   "capability": {
+    "reading_mc": 3800
+   },
+   "train_lane": {
+    "aux": 3000
+   },
+   "label_tier": {
+    "original_label": 3800
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 3000,
+    "val": 400,
+    "test": 400
+   },
+   "difficulty_mean": 3.4261,
+   "difficulty_levels": [
+    3,
+    4
+   ],
+   "confidence_mean": 0.97
+  },
+  "qa/logiqa_zh": {
+   "task_family": "general_understanding",
+   "capability": {
+    "logic_mc": 2800
+   },
+   "train_lane": {
+    "aux": 2000
+   },
+   "label_tier": {
+    "original_label": 2800
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 2000,
+    "val": 400,
+    "test": 400
+   },
+   "difficulty_mean": 4.0,
+   "difficulty_levels": [
+    4
+   ],
+   "confidence_mean": 0.97
+  },
+  "query_assessment/query_info": {
+   "task_family": "query_assessment",
+   "capability": {
+    "query_info": 33722
+   },
+   "train_lane": {
+    "aux": 14764
+   },
+   "label_tier": {
+    "ladder_construct": 9358,
+    "llm_vote": 24210,
+    "structural_anchor": 154
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 14764,
+    "val": 9819,
+    "test": 9139
+   },
+   "difficulty_mean": 2.6552,
+   "difficulty_levels": [
+    2,
+    3
+   ],
+   "confidence_mean": 0.8685
+  },
+  "query_assessment/query_need": {
+   "task_family": "query_assessment",
+   "capability": {
+    "query_need": 32490
+   },
+   "train_lane": {
+    "aux": 17914
+   },
+   "label_tier": {
+    "llm_vote": 26876,
+    "structural_anchor": 4623,
+    "llm_generated": 991
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 17914,
+    "val": 7602,
+    "test": 6974
+   },
+   "difficulty_mean": 3.0,
+   "difficulty_levels": [
+    3
+   ],
+   "confidence_mean": 0.8817
+  },
+  "query_assessment/query_noise": {
+   "task_family": "query_assessment",
+   "capability": {
+    "query_noise": 27117
+   },
+   "train_lane": {
+    "aux": 11914
+   },
+   "label_tier": {
+    "synthetic_rule": 13104,
+    "real_query_rule": 13274,
+    "llm_generated": 739
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 11914,
+    "val": 7773,
+    "test": 7430
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.9534
+  },
+  "retrieval/afqmc": {
+   "task_family": "query_understanding",
+   "capability": {
+    "intent_equivalence": 13917
+   },
+   "train_lane": {
+    "core": 10847
+   },
+   "label_tier": {
+    "original_binary": 13917
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 10847,
+    "val": 3070,
+    "test": 0
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.97
+  },
+  "retrieval/atec": {
+   "task_family": "query_understanding",
+   "capability": {
+    "intent_equivalence": 48206
+   },
+   "train_lane": {
+    "core": 8849
+   },
+   "label_tier": {
+    "original_binary": 48206
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 8849,
+    "val": 19357,
+    "test": 20000
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.97
+  },
+  "retrieval/bq_corpus": {
+   "task_family": "query_understanding",
+   "capability": {
+    "intent_equivalence": 28314
+   },
+   "train_lane": {
+    "core": 10792
+   },
+   "label_tier": {
+    "original_binary": 28314
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 10792,
+    "val": 8703,
+    "test": 8819
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.97
+  },
+  "retrieval/chip_sts": {
+   "task_family": "query_understanding",
+   "capability": {
+    "intent_equivalence": 7771
+   },
+   "train_lane": {
+    "core": 7771
+   },
+   "label_tier": {
+    "original_binary": 7771
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 7771,
+    "val": 0,
+    "test": 0
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.97
+  },
+  "retrieval/dialogue_rewrite_equivalence": {
+   "task_family": "query_understanding",
+   "capability": {
+    "rewrite": 8973
+   },
+   "train_lane": {
+    "aux": 5177
+   },
+   "label_tier": {
+    "weak_negative": 8973
+   },
+   "language": "latin_dominant",
+   "rows": {
+    "train": 5177,
+    "val": 1836,
+    "test": 1960
+   },
+   "difficulty_mean": 1.5021,
+   "difficulty_levels": [
+    1,
+    2
+   ],
+   "confidence_mean": 0.7
+  },
+  "retrieval/duretrieval": {
+   "task_family": "retrieval_judgment",
+   "capability": {
+    "relevance": 7340
+   },
+   "train_lane": {
+    "aux": 5918
+   },
+   "label_tier": {
+    "derived_qrels": 7340
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 5918,
+    "val": 780,
+    "test": 642
+   },
+   "difficulty_mean": 1.8843,
+   "difficulty_levels": [
+    1,
+    2,
+    3
+   ],
+   "confidence_mean": 0.9
+  },
+  "retrieval/frames": {
+   "task_family": "sealed_evaluation",
+   "capability": {
+    "sealed_evaluation": 5976
+   },
+   "train_lane": {},
+   "label_tier": {
+    "official_eval": 5976
+   },
+   "language": "latin_dominant",
+   "rows": {
+    "train": 0,
+    "val": 0,
+    "test": 5976
+   },
+   "difficulty_mean": 3.0,
+   "difficulty_levels": [
+    3
+   ],
+   "confidence_mean": 0.97
+  },
+  "retrieval/kuake_qqr": {
+   "task_family": "retrieval_judgment",
+   "capability": {
+    "relevance": 6866
+   },
+   "train_lane": {
+    "core": 6866
+   },
+   "label_tier": {
+    "native_grade": 6866
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 6866,
+    "val": 0,
+    "test": 0
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.95
+  },
+  "retrieval/kuake_qtr": {
+   "task_family": "retrieval_judgment",
+   "capability": {
+    "relevance": 7882
+   },
+   "train_lane": {
+    "core": 7882
+   },
+   "label_tier": {
+    "native_grade": 7882
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 7882,
+    "val": 0,
+    "test": 0
+   },
+   "difficulty_mean": 3.0,
+   "difficulty_levels": [
+    3
+   ],
+   "confidence_mean": 0.95
+  },
+  "retrieval/lcqmc": {
+   "task_family": "query_understanding",
+   "capability": {
+    "intent_equivalence": 39141
+   },
+   "train_lane": {
+    "core": 18287
+   },
+   "label_tier": {
+    "original_binary": 39141
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 18287,
+    "val": 8389,
+    "test": 12465
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.97
+  },
+  "retrieval/multi_cpr_ecom": {
+   "task_family": "retrieval_judgment",
+   "capability": {
+    "relevance": 10463
+   },
+   "train_lane": {
+    "aux": 7493
+   },
+   "label_tier": {
+    "derived_qrels": 10463
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 7493,
+    "val": 2970,
+    "test": 0
+   },
+   "difficulty_mean": 1.6666,
+   "difficulty_levels": [
+    1,
+    2
+   ],
+   "confidence_mean": 0.9
+  },
+  "retrieval/multi_cpr_medical": {
+   "task_family": "retrieval_judgment",
+   "capability": {
+    "relevance": 11373
+   },
+   "train_lane": {
+    "aux": 7375
+   },
+   "label_tier": {
+    "derived_qrels": 11373
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 7375,
+    "val": 3998,
+    "test": 0
+   },
+   "difficulty_mean": 1.6942,
+   "difficulty_levels": [
+    1,
+    2
+   ],
+   "confidence_mean": 0.9
+  },
+  "retrieval/multi_cpr_video": {
+   "task_family": "retrieval_judgment",
+   "capability": {
+    "relevance": 10082
+   },
+   "train_lane": {
+    "aux": 7399
+   },
+   "label_tier": {
+    "derived_qrels": 10082
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 7399,
+    "val": 2683,
+    "test": 0
+   },
+   "difficulty_mean": 1.6628,
+   "difficulty_levels": [
+    1,
+    2,
+    3
+   ],
+   "confidence_mean": 0.9
+  },
+  "retrieval/paws_x_zh": {
+   "task_family": "query_understanding",
+   "capability": {
+    "intent_equivalence": 11778
+   },
+   "train_lane": {
+    "core": 7981
+   },
+   "label_tier": {
+    "original_binary": 11778
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 7981,
+    "val": 1830,
+    "test": 1967
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.97
+  },
+  "retrieval/qbqtc": {
+   "task_family": "retrieval_judgment",
+   "capability": {
+    "relevance": 40009
+   },
+   "train_lane": {
+    "core": 17594
+   },
+   "label_tier": {
+    "native_grade": 40009
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 17594,
+    "val": 18734,
+    "test": 3681
+   },
+   "difficulty_mean": 2.0,
+   "difficulty_levels": [
+    2
+   ],
+   "confidence_mean": 0.95
+  },
+  "retrieval/qd_quality_v1": {
+   "task_family": "retrieval_judgment",
+   "capability": {
+    "qd_quality": 55765
+   },
+   "train_lane": {
+    "aux": 50672
+   },
+   "label_tier": {
+    "llm_teacher": 55765
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 50672,
+    "val": 2478,
+    "test": 2615
+   },
+   "difficulty_mean": 4.3524,
+   "difficulty_levels": [
+    4,
+    5
+   ],
+   "confidence_mean": 0.8319
+  },
+  "retrieval/qrecc_test_equivalence": {
+   "task_family": "sealed_evaluation",
+   "capability": {
+    "sealed_evaluation": 29704
+   },
+   "train_lane": {},
+   "label_tier": {
+    "official_eval": 29704
+   },
+   "language": "latin_dominant",
+   "rows": {
+    "train": 0,
+    "val": 0,
+    "test": 29704
+   },
+   "difficulty_mean": 1.864,
+   "difficulty_levels": [
+    1,
+    2,
+    3
+   ],
+   "confidence_mean": 0.86
+  },
+  "retrieval/qrecc_train_equivalence": {
+   "task_family": "query_understanding",
+   "capability": {
+    "rewrite": 9973
+   },
+   "train_lane": {
+    "aux": 4895
+   },
+   "label_tier": {
+    "weak_negative": 9973
+   },
+   "language": "latin_dominant",
+   "rows": {
+    "train": 4895,
+    "val": 5078,
+    "test": 0
+   },
+   "difficulty_mean": 1.866,
+   "difficulty_levels": [
+    1,
+    2,
+    3
+   ],
+   "confidence_mean": 0.7
+  },
+  "retrieval/t2reranking": {
+   "task_family": "retrieval_judgment",
+   "capability": {
+    "relevance": 21606
+   },
+   "train_lane": {
+    "core": 14654
+   },
+   "label_tier": {
+    "original_binary": 21606
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 14654,
+    "val": 3582,
+    "test": 3370
+   },
+   "difficulty_mean": 2.136,
+   "difficulty_levels": [
+    2,
+    3
+   ],
+   "confidence_mean": 0.9141
+  },
+  "retrieval/t2retrieval": {
+   "task_family": "retrieval_judgment",
+   "capability": {
+    "relevance": 20774
+   },
+   "train_lane": {
+    "aux": 8651
+   },
+   "label_tier": {
+    "derived_qrels": 20774
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 8651,
+    "val": 6255,
+    "test": 5868
+   },
+   "difficulty_mean": 2.0022,
+   "difficulty_levels": [
+    1,
+    2,
+    3
+   ],
+   "confidence_mean": 0.9
+  },
+  "scoring/coig_p": {
+   "task_family": "general_understanding",
+   "capability": {
+    "preference_pair": 3800
+   },
+   "train_lane": {
+    "aux": 3000
+   },
+   "label_tier": {
+    "original_label": 3800
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 3000,
+    "val": 400,
+    "test": 400
+   },
+   "difficulty_mean": 3.6403,
+   "difficulty_levels": [
+    3,
+    4
+   ],
+   "confidence_mean": 0.97
+  },
+  "scoring/cvalues_zh": {
+   "task_family": "general_understanding",
+   "capability": {
+    "preference_pair": 3800
+   },
+   "train_lane": {
+    "aux": 3000
+   },
+   "label_tier": {
+    "original_label": 3800
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 3000,
+    "val": 400,
+    "test": 400
+   },
+   "difficulty_mean": 3.0018,
+   "difficulty_levels": [
+    3,
+    4
+   ],
+   "confidence_mean": 0.97
+  },
+  "scoring/douban_reviews_1to5": {
+   "task_family": "general_understanding",
+   "capability": {
+    "review_rating": 4800
+   },
+   "train_lane": {
+    "aux": 4000
+   },
+   "label_tier": {
+    "original_label": 4800
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 4000,
+    "val": 400,
+    "test": 400
+   },
+   "difficulty_mean": 3.0,
+   "difficulty_levels": [
+    3
+   ],
+   "confidence_mean": 0.97
+  },
+  "scoring/helpsteer2_0to4": {
+   "task_family": "general_understanding",
+   "capability": {
+    "response_quality": 2437
+   },
+   "train_lane": {
+    "aux": 2000
+   },
+   "label_tier": {
+    "original_label": 2437
+   },
+   "language": "latin_dominant",
+   "rows": {
+    "train": 2000,
+    "val": 229,
+    "test": 208
+   },
+   "difficulty_mean": 4.771,
+   "difficulty_levels": [
+    4,
+    5
+   ],
+   "confidence_mean": 0.97
+  },
+  "scoring/helpsteer3_chinese": {
+   "task_family": "general_understanding",
+   "capability": {
+    "preference_pair": 974
+   },
+   "train_lane": {
+    "aux": 945
+   },
+   "label_tier": {
+    "original_label": 974
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 945,
+    "val": 12,
+    "test": 17
+   },
+   "difficulty_mean": 3.7413,
+   "difficulty_levels": [
+    3,
+    4,
+    5
+   ],
+   "confidence_mean": 0.97
+  },
+  "scoring/jd_review_1to5": {
+   "task_family": "general_understanding",
+   "capability": {
+    "review_rating": 4800
+   },
+   "train_lane": {
+    "aux": 4000
+   },
+   "label_tier": {
+    "original_label": 4800
+   },
+   "language": "zh_dominant",
+   "rows": {
+    "train": 4000,
+    "val": 400,
+    "test": 400
+   },
+   "difficulty_mean": 3.0,
+   "difficulty_levels": [
+    3
+   ],
+   "confidence_mean": 0.92
+  },
+  "search_hardneg/hn_gain": {
+   "task_family": "retrieval_judgment",
+   "capability": {
+    "retrieval_gain": 23356
+   },
+   "train_lane": {
+    "core": 19486
+   },
+   "label_tier": {
+    "derived_llm_filtered": 23356
+   },
+   "language": "latin_dominant",
+   "rows": {
+    "train": 19486,
+    "val": 1966,
+    "test": 1904
+   },
+   "difficulty_mean": 3.1796,
+   "difficulty_levels": [
+    3,
+    4
+   ],
+   "confidence_mean": 0.8738
+  },
+  "search_hardneg/hn_next_hop": {
+   "task_family": "search_action",
+   "capability": {
+    "next_query": 35269
+   },
+   "train_lane": {
+    "core": 29422
+   },
+   "label_tier": {
+    "derived_llm_filtered": 35269
+   },
+   "language": "latin_dominant",
+   "rows": {
+    "train": 29422,
+    "val": 2924,
+    "test": 2923
+   },
+   "difficulty_mean": 2.0304,
+   "difficulty_levels": [
+    2,
+    3
+   ],
+   "confidence_mean": 0.9485
+  },
+  "search_hardneg/hn_query_fit": {
+   "task_family": "search_action",
+   "capability": {
+    "query_fit": 26988
+   },
+   "train_lane": {
+    "core": 22464
+   },
+   "label_tier": {
+    "derived_llm_filtered": 26988
+   },
+   "language": "latin_dominant",
+   "rows": {
+    "train": 22464,
+    "val": 2234,
+    "test": 2290
+   },
+   "difficulty_mean": 3.0371,
+   "difficulty_levels": [
+    3,
+    4
+   ],
+   "confidence_mean": 0.9248
+  },
+  "search_hardneg/hn_suff": {
+   "task_family": "evidence_judgment",
+   "capability": {
+    "evidence_sufficiency": 17070
+   },
+   "train_lane": {
+    "core": 14652
+   },
+   "label_tier": {
+    "derived_llm_filtered": 17070
+   },
+   "language": "latin_dominant",
+   "rows": {
+    "train": 14652,
+    "val": 1382,
+    "test": 1036
+   },
+   "difficulty_mean": 4.0481,
+   "difficulty_levels": [
+    4,
+    5
+   ],
+   "confidence_mean": 0.9054
+  }
+ },
+ "train_instruction_diversity": {
+  "classification/amazon_reviews_multi_zh|label": 300,
+  "classification/banking77|label": 74,
+  "classification/chnsenticorp|label": 120,
+  "classification/clinc150|label": 71,
+  "classification/clue_cmnli|nli": 300,
+  "classification/clue_csl|label": 120,
+  "classification/clue_ocnli|nli": 200,
+  "classification/clue_tnews|label": 200,
+  "classification/clue_wsc|ref": 752,
+  "classification/massive_zh|label": 98,
+  "classification/multi_emotion_dialogue|label": 120,
+  "classification/online_shopping_10cats|label": 200,
+  "classification/thucnews_title|label": 200,
+  "classification/weibo_senti_100k|label": 300,
+  "decision/kuake_qic|label": 106,
+  "decision/xyz_aquila_action|action": 110,
+  "evidence/cfever_ev|label": 114,
+  "evidence/trendfact_verdict|verdict": 91,
+  "evidence/vitaminc|label": 87,
+  "evidence/vitaminc_conflict|opposite": 105,
+  "qa/clue_c3|answer": 200,
+  "qa/logiqa_zh|answer": 120,
+  "query_assessment/query_info|ambiguous": 2,
+  "query_assessment/query_info|info_level": 3,
+  "query_assessment/query_info|info_pair": 2,
+  "query_assessment/query_info|missing_main": 2,
+  "query_assessment/query_need|freshness": 2,
+  "query_assessment/query_need|need_level": 3,
+  "query_assessment/query_noise|noise": 4,
+  "query_assessment/query_noise|noise_type": 3,
+  "retrieval/afqmc|label": 166,
+  "retrieval/atec|label": 166,
+  "retrieval/bq_corpus|label": 166,
+  "retrieval/chip_sts|label": 126,
+  "retrieval/dialogue_rewrite_equivalence|equivalent": 222,
+  "retrieval/duretrieval|label": 161,
+  "retrieval/kuake_qqr|label": 125,
+  "retrieval/kuake_qtr|label": 121,
+  "retrieval/lcqmc|label": 166,
+  "retrieval/multi_cpr_ecom|label": 114,
+  "retrieval/multi_cpr_medical|label": 112,
+  "retrieval/multi_cpr_video|label": 99,
+  "retrieval/paws_x_zh|label": 123,
+  "retrieval/qbqtc|label": 123,
+  "retrieval/qd_quality_v1|authority": 103,
+  "retrieval/qd_quality_v1|query_freshness": 84,
+  "retrieval/qd_quality_v1|relevance": 102,
+  "retrieval/qd_quality_v1|satisfaction": 68,
+  "retrieval/qd_quality_v1|timeliness": 72,
+  "retrieval/qrecc_train_equivalence|equivalent": 178,
+  "retrieval/t2reranking|label": 161,
+  "retrieval/t2retrieval|label": 161,
+  "scoring/coig_p|better": 400,
+  "scoring/cvalues_zh|better": 200,
+  "scoring/douban_reviews_1to5|label": 400,
+  "scoring/helpsteer2_0to4|coherence": 200,
+  "scoring/helpsteer2_0to4|complexity": 200,
+  "scoring/helpsteer2_0to4|correctness": 200,
+  "scoring/helpsteer2_0to4|helpfulness": 200,
+  "scoring/helpsteer2_0to4|verbosity": 200,
+  "scoring/helpsteer3_chinese|better": 120,
+  "scoring/jd_review_1to5|label": 200,
+  "search_hardneg/hn_gain|label": 4,
+  "search_hardneg/hn_next_hop|label": 4,
+  "search_hardneg/hn_query_fit|label": 4,
+  "search_hardneg/hn_suff|label": 4
+ },
+ "train_label_balance": {
+  "classification/banking77|label": {
+   "type": "choice",
+   "n": 9973,
+   "classes": 77,
+   "majority": "card_payment_fee_charged",
+   "majority_share": 0.0188
+  },
+  "classification/chnsenticorp|label": {
+   "type": "noul",
+   "n": 3963,
+   "classes": 2,
+   "majority": "pos",
+   "majority_share": 0.5327
+  },
+  "classification/clinc150|label": {
+   "type": "choice",
+   "n": 10594,
+   "classes": 151,
+   "majority": "lost_luggage",
+   "majority_share": 0.0094
+  },
+  "classification/clue_cmnli|nli": {
+   "type": "choice",
+   "n": 3000,
+   "classes": 3,
+   "majority": "contradiction",
+   "majority_share": 0.338
+  },
+  "classification/clue_csl|label": {
+   "type": "noul",
+   "n": 3000,
+   "classes": 2,
+   "majority": "pos",
+   "majority_share": 0.5027
+  },
+  "classification/clue_ocnli|nli": {
+   "type": "choice",
+   "n": 5000,
+   "classes": 3,
+   "majority": "neutral",
+   "majority_share": 0.3402
+  },
+  "classification/clue_tnews|label": {
+   "type": "choice",
+   "n": 5000,
+   "classes": 14,
+   "majority": "股票",
+   "majority_share": 0.1244
+  },
+  "classification/clue_wsc|ref": {
+   "type": "noul",
+   "n": 752,
+   "classes": 2,
+   "majority": "neg",
+   "majority_share": 0.508
+  },
+  "classification/massive_zh|label": {
+   "type": "choice",
+   "n": 10807,
+   "classes": 60,
+   "majority": "calendar_set",
+   "majority_share": 0.0738
+  },
+  "classification/multi_emotion_dialogue|label": {
+   "type": "choice",
+   "n": 2892,
+   "classes": 8,
+   "majority": "平淡語氣",
+   "majority_share": 0.1694
+  },
+  "classification/online_shopping_10cats|label": {
+   "type": "noul",
+   "n": 3959,
+   "classes": 2,
+   "majority": "pos",
+   "majority_share": 0.5072
+  },
+  "classification/thucnews_title|label": {
+   "type": "choice",
+   "n": 3000,
+   "classes": 10,
+   "majority": "游戏",
+   "majority_share": 0.112
+  },
+  "classification/weibo_senti_100k|label": {
+   "type": "noul",
+   "n": 5000,
+   "classes": 2,
+   "majority": "pos",
+   "majority_share": 0.506
+  },
+  "decision/kuake_qic|label": {
+   "type": "choice",
+   "n": 1764,
+   "classes": 11,
+   "majority": "治疗方案",
+   "majority_share": 0.352
+  },
+  "decision/xyz_aquila_action|action": {
+   "type": "choice",
+   "n": 5095,
+   "classes": 3,
+   "majority": "search",
+   "majority_share": 0.3342
+  },
+  "evidence/cfever_ev|label": {
+   "type": "noul",
+   "n": 6935,
+   "classes": 2,
+   "majority": "neg",
+   "majority_share": 0.6483
+  },
+  "evidence/trendfact_verdict|verdict": {
+   "type": "choice",
+   "n": 5847,
+   "classes": 3,
+   "majority": "refutes",
+   "majority_share": 0.5558
+  },
+  "evidence/vitaminc|label": {
+   "type": "choice",
+   "n": 25069,
+   "classes": 3,
+   "majority": "supports",
+   "majority_share": 0.5017
+  },
+  "evidence/vitaminc_conflict|opposite": {
+   "type": "noul",
+   "n": 9979,
+   "classes": 2,
+   "majority": "pos",
+   "majority_share": 0.5859
+  },
+  "qa/clue_c3|answer": {
+   "type": "choice",
+   "n": 3000,
+   "classes": 4,
+   "majority": "B",
+   "majority_share": 0.2807
+  },
+  "qa/logiqa_zh|answer": {
+   "type": "choice",
+   "n": 2000,
+   "classes": 4,
+   "majority": "C",
+   "majority_share": 0.271
+  },
+  "query_assessment/query_info|ambiguous": {
+   "type": "noul",
+   "n": 7518,
+   "classes": 2,
+   "majority": "neg",
+   "majority_share": 0.733
+  },
+  "query_assessment/query_info|info_pair": {
+   "type": "choice",
+   "n": 5121,
+   "classes": 2,
+   "majority": "B",
+   "majority_share": 0.5044
+  },
+  "query_assessment/query_info|missing_main": {
+   "type": "choice",
+   "n": 7313,
+   "classes": 7,
+   "majority": "无明显缺失",
+   "majority_share": 0.4982
+  },
+  "query_assessment/query_noise|noise": {
+   "type": "choice",
+   "n": 11914,
+   "classes": 2,
+   "majority": "有效查询",
+   "majority_share": 0.6316
+  },
+  "query_assessment/query_noise|noise_type": {
+   "type": "choice",
+   "n": 11914,
+   "classes": 8,
+   "majority": "有效查询",
+   "majority_share": 0.6316
+  },
+  "retrieval/afqmc|label": {
+   "type": "noul",
+   "n": 10847,
+   "classes": 2,
+   "majority": "neg",
+   "majority_share": 0.6862
+  },
+  "retrieval/atec|label": {
+   "type": "noul",
+   "n": 8849,
+   "classes": 2,
+   "majority": "neg",
+   "majority_share": 0.859
+  },
+  "retrieval/bq_corpus|label": {
+   "type": "noul",
+   "n": 10792,
+   "classes": 2,
+   "majority": "pos",
+   "majority_share": 0.5055
+  },
+  "retrieval/chip_sts|label": {
+   "type": "noul",
+   "n": 7771,
+   "classes": 2,
+   "majority": "neg",
+   "majority_share": 0.5046
+  },
+  "retrieval/dialogue_rewrite_equivalence|equivalent": {
+   "type": "noul",
+   "n": 5177,
+   "classes": 2,
+   "majority": "pos",
+   "majority_share": 0.5036
+  },
+  "retrieval/duretrieval|label": {
+   "type": "noul",
+   "n": 5918,
+   "classes": 2,
+   "majority": "pos",
+   "majority_share": 0.7153
+  },
+  "retrieval/lcqmc|label": {
+   "type": "noul",
+   "n": 18287,
+   "classes": 2,
+   "majority": "pos",
+   "majority_share": 0.5886
+  },
+  "retrieval/multi_cpr_ecom|label": {
+   "type": "noul",
+   "n": 7493,
+   "classes": 2,
+   "majority": "neg",
+   "majority_share": 0.6551
+  },
+  "retrieval/multi_cpr_medical|label": {
+   "type": "noul",
+   "n": 7375,
+   "classes": 2,
+   "majority": "neg",
+   "majority_share": 0.6686
+  },
+  "retrieval/multi_cpr_video|label": {
+   "type": "noul",
+   "n": 7399,
+   "classes": 2,
+   "majority": "neg",
+   "majority_share": 0.6659
+  },
+  "retrieval/paws_x_zh|label": {
+   "type": "noul",
+   "n": 7981,
+   "classes": 2,
+   "majority": "neg",
+   "majority_share": 0.5449
+  },
+  "retrieval/qd_quality_v1|query_freshness": {
+   "type": "choice",
+   "n": 50672,
+   "classes": 3,
+   "majority": "never",
+   "majority_share": 0.4738
+  },
+  "retrieval/qrecc_train_equivalence|equivalent": {
+   "type": "noul",
+   "n": 4895,
+   "classes": 2,
+   "majority": "pos",
+   "majority_share": 0.5054
+  },
+  "retrieval/t2reranking|label": {
+   "type": "noul",
+   "n": 14654,
+   "classes": 2,
+   "majority": "pos",
+   "majority_share": 0.6093
+  },
+  "retrieval/t2retrieval|label": {
+   "type": "noul",
+   "n": 8651,
+   "classes": 2,
+   "majority": "pos",
+   "majority_share": 0.7153
+  },
+  "scoring/coig_p|better": {
+   "type": "choice",
+   "n": 3000,
+   "classes": 2,
+   "majority": "a",
+   "majority_share": 0.5087
+  },
+  "scoring/cvalues_zh|better": {
+   "type": "choice",
+   "n": 3000,
+   "classes": 2,
+   "majority": "a",
+   "majority_share": 0.508
+  },
+  "scoring/helpsteer3_chinese|better": {
+   "type": "choice",
+   "n": 945,
+   "classes": 2,
+   "majority": "b",
+   "majority_share": 0.5101
+  },
+  "search_hardneg/hn_gain|label": {
+   "type": "noul",
+   "n": 19486,
+   "classes": 2,
+   "majority": "pos",
+   "majority_share": 0.5
+  },
+  "search_hardneg/hn_next_hop|label": {
+   "type": "choice",
+   "n": 29422,
+   "classes": 4,
+   "majority": "C",
+   "majority_share": 0.2529
+  },
+  "search_hardneg/hn_query_fit|label": {
+   "type": "noul",
+   "n": 22464,
+   "classes": 2,
+   "majority": "pos",
+   "majority_share": 0.5
+  },
+  "search_hardneg/hn_suff|label": {
+   "type": "noul",
+   "n": 14652,
+   "classes": 2,
+   "majority": "neg",
+   "majority_share": 0.5
+  },
+  "classification/amazon_reviews_multi_zh|label": {
+   "type": "score",
+   "n": 4000,
+   "mean": 2.0085,
+   "p10": 0.06,
+   "p50": 2.0,
+   "p90": 3.94
+  },
+  "query_assessment/query_info|info_level": {
+   "type": "score",
+   "n": 9643,
+   "mean": 2.2042,
+   "p10": 1.08,
+   "p50": 2.0,
+   "p90": 3.8
+  },
+  "query_assessment/query_need|freshness": {
+   "type": "score",
+   "n": 17903,
+   "mean": 0.4753,
+   "p10": 0.05,
+   "p50": 0.1,
+   "p90": 1.0
+  },
+  "query_assessment/query_need|need_level": {
+   "type": "score",
+   "n": 17914,
+   "mean": 1.3929,
+   "p10": 1.025,
+   "p50": 1.125,
+   "p90": 1.975
+  },
+  "retrieval/kuake_qqr|label": {
+   "type": "score",
+   "n": 6866,
+   "mean": 0.6349,
+   "p10": 0.05,
+   "p50": 0.05,
+   "p90": 1.95
+  },
+  "retrieval/kuake_qtr|label": {
+   "type": "score",
+   "n": 7882,
+   "mean": 1.8417,
+   "p10": 0.075,
+   "p50": 1.975,
+   "p90": 2.925
+  },
+  "retrieval/qbqtc|label": {
+   "type": "score",
+   "n": 17594,
+   "mean": 0.9085,
+   "p10": 0.05,
+   "p50": 1.0,
+   "p90": 1.95
+  },
+  "retrieval/qd_quality_v1|authority": {
+   "type": "score",
+   "n": 27269,
+   "mean": 2.1576,
+   "p10": 1.075,
+   "p50": 1.925,
+   "p90": 2.775
+  },
+  "retrieval/qd_quality_v1|relevance": {
+   "type": "score",
+   "n": 50672,
+   "mean": 1.5228,
+   "p10": 0.225,
+   "p50": 1.195,
+   "p90": 2.775
+  },
+  "retrieval/qd_quality_v1|satisfaction": {
+   "type": "score",
+   "n": 50672,
+   "mean": 1.1519,
+   "p10": 0.225,
+   "p50": 1.075,
+   "p90": 2.7
+  },
+  "retrieval/qd_quality_v1|timeliness": {
+   "type": "score",
+   "n": 50672,
+   "mean": 1.9282,
+   "p10": 0.3,
+   "p50": 2.7,
+   "p90": 2.775
+  },
+  "scoring/douban_reviews_1to5|label": {
+   "type": "score",
+   "n": 4000,
+   "mean": 2.2607,
+   "p10": 1.03,
+   "p50": 2.0,
+   "p90": 3.94
+  },
+  "scoring/helpsteer2_0to4|coherence": {
+   "type": "score",
+   "n": 2000,
+   "mean": 3.5893,
+   "p10": 2.97,
+   "p50": 3.94,
+   "p90": 3.94
+  },
+  "scoring/helpsteer2_0to4|complexity": {
+   "type": "score",
+   "n": 2000,
+   "mean": 1.6906,
+   "p10": 1.03,
+   "p50": 2.0,
+   "p90": 2.0
+  },
+  "scoring/helpsteer2_0to4|correctness": {
+   "type": "score",
+   "n": 2000,
+   "mean": 2.9084,
+   "p10": 1.03,
+   "p50": 2.97,
+   "p90": 3.94
+  },
+  "scoring/helpsteer2_0to4|helpfulness": {
+   "type": "score",
+   "n": 2000,
+   "mean": 2.8041,
+   "p10": 1.03,
+   "p50": 2.97,
+   "p90": 3.94
+  },
+  "scoring/helpsteer2_0to4|verbosity": {
+   "type": "score",
+   "n": 2000,
+   "mean": 2.0116,
+   "p10": 1.03,
+   "p50": 2.0,
+   "p90": 2.97
+  },
+  "scoring/jd_review_1to5|label": {
+   "type": "score",
+   "n": 4000,
+   "mean": 3.1325,
+   "p10": 2.0,
+   "p50": 3.84,
+   "p90": 3.84
+  }
+ }
+}

manifest.json

@@ -0,0 +1,19 @@
+{
+  "name": "search_jev_unified_v2",
+  "release_date": "2026-09-28",
+  "format": "JEV (state / questions / answers + difficulty); *_index.jsonl aligned line-by-line",
+  "rows": {
+    "train": 487293,
+    "val": 159374,
+    "test": 252381
+  },
+  "sha256": {
+    "train.jsonl": "35accc219c2ac86f215c7ffbe1e0d0ba562408927e671a007139166936294394",
+    "train_index.jsonl": "56e4f0425be31c6d31344e892b374ff56b1939eada835ec73fc43e69310a45c8",
+    "val.jsonl": "43cbb36e811da6e48030a8aa0f87843267d5029a186da883f9337226b7293f05",
+    "val_index.jsonl": "5cf706bff9e6ebeab2966948e54938a4b2df96a90c159631216f65850b583f53",
+    "test.jsonl": "b5f164ccb5312397ca234267e4c46f5a8ab249a4229cedecab8bb4aa03a608a0",
+    "test_index.jsonl": "050992bbf777e3e08f1e5c0b23ff0bdc400afa164d9c5c9f98353f8ba0efb882",
+    "qd_quality_sidecar.jsonl": "4a788354c5ccd7ad1e183b6a13f529201655ac843093b79643c295edea54f687"
+  }
+}

qd_quality_sidecar.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4a788354c5ccd7ad1e183b6a13f529201655ac843093b79643c295edea54f687
+size 12424405

test.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b5f164ccb5312397ca234267e4c46f5a8ab249a4229cedecab8bb4aa03a608a0
+size 354246270

test_index.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:050992bbf777e3e08f1e5c0b23ff0bdc400afa164d9c5c9f98353f8ba0efb882
+size 180489707

train.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:35accc219c2ac86f215c7ffbe1e0d0ba562408927e671a007139166936294394
+size 866654803

train_index.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:56e4f0425be31c6d31344e892b374ff56b1939eada835ec73fc43e69310a45c8
+size 364179125

val.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:43cbb36e811da6e48030a8aa0f87843267d5029a186da883f9337226b7293f05
+size 199575795

val_index.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5cf706bff9e6ebeab2966948e54938a4b2df96a90c159631216f65850b583f53
+size 112633098