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Commit
10eb887
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1 Parent(s): b965b66

Append 14,111 full training rows; preserve published data

Browse files
CHANGELOG.md CHANGED
@@ -4,6 +4,12 @@ Changes that affect published data, newest first: one entry per publish, `## <da
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  concise bullets on what changed in the data. `tasksource-jev-typed-decisions` releases are tagged on the Hub
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  (`load_dataset("tasksource/tasksource-jev-typed-decisions", revision="v2026.10.13")`).
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  ## tasksource-jev-typed-decisions v2026.10.17
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  - `vision`: add ShapeWorld object-box grounding, capped at 20k training rows from the 100k-QA procedural mirror. Native scene models verify every unique target and spatial relation.
 
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  concise bullets on what changed in the data. `tasksource-jev-typed-decisions` releases are tagged on the Hub
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  (`load_dataset("tasksource/tasksource-jev-typed-decisions", revision="v2026.10.13")`).
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+ ## tasksource-jev-typed-decisions v2026.10.17.1
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+
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+ - `full`: add EMS-MCQA’s native single-answer emergency-medical practice questions, preserving all options, including five- and six-choice questions.
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+ - Exclude multi-answer records, malformed or duplicate options and positional references that cannot survive option shuffling. Retain native source splits; exclude collection-wide aliases from loading into the task.
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+ - Keep source website, certification/category and rationale in metadata, separate from model inputs. `default` receives the task at its next full rebuild.
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+
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  ## tasksource-jev-typed-decisions v2026.10.17
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  - `vision`: add ShapeWorld object-box grounding, capped at 20k training rows from the 100k-QA procedural mirror. Native scene models verify every unique target and spatial relation.
README.md CHANGED
@@ -161,16 +161,16 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 3836028641
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- num_examples: 2500000
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  - name: validation
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  num_bytes: 23419061
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  num_examples: 15000
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  - name: test
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  num_bytes: 21143086
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  num_examples: 15000
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- download_size: 1935206000
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- dataset_size: 3880590788
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  - config_name: vision
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  features:
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  - name: images
 
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  dtype: string
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  splits:
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  - name: train
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+ num_bytes: 3844158050
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+ num_examples: 2514111
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  - name: validation
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  num_bytes: 23419061
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  num_examples: 15000
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  - name: test
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  num_bytes: 21143086
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  num_examples: 15000
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+ download_size: 1939084021
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+ dataset_size: 3888720197
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  - config_name: vision
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  features:
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  - name: images
full/additions/517726f3090c/manifest.json ADDED
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+ {
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+ "config": "full",
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+ "seed": 0,
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+ "max_rows": 20000,
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+ "added_rows": 14111,
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+ "sources": {
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+ "ems-mcqa": 14111
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+ },
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+ "dropped_overlap": {
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+ "built": 14112,
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+ "train": 1,
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+ "evaluation": 0
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+ },
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+ "revisions": {
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+ "ems-mcqa": {
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+ "Xueren/EMS-MCQA": "dd0a05836786cb8c2de489916b13505531323d8e"
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+ }
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+ },
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+ "evaluation": "unchanged",
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+ "default": "unchanged until the next full rebuild",
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+ "preserved_parquets": {
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+ "full/test-00000-of-00001.parquet": "f2ab059f5a85de7666b1a2d3b443db292b91f854",
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+ "full/train-00000-of-00015.parquet": "f760ee18afd4ce70b015751ef79fc6fd818eae22",
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+ "full/train-00011-of-00015.parquet": "b15741e8207198c5b6be6b9bd589f039ddc5c6c9",
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+ "full/train-00013-of-00015.parquet": "72aaac7b41d430853a0d55a9d0f9356fbd0d4b56",
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+ "full/train-00014-of-00015.parquet": "b1453c5e9bd1805fb7bfdda3fd3b55e4debfccd8",
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+ "full/validation-00000-of-00001.parquet": "96211364bc43a2349890d3aa9714d4b23bfaf2ba"
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+ },
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+ "script_sha256": "d99649747f8c3b5cb39ebc7faa179ce4cc2148193c88595b1e4c6002b782b58b"
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+ }
full/train-append-517726f3090c-00000-of-00001.parquet ADDED
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release-audit.json CHANGED
@@ -8,7 +8,7 @@
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  },
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  "splits": {
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  "train": {
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- "rows": 2500000,
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  "sources": {
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@@ -760,11 +760,12 @@
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  "wnut_17/wnut_17": 7389,
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@@ -1199,23 +1200,24 @@
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  "yahoo_answers_topics": 5119,
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- "yelp_review_full": 4198
 
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  "kinds": {
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- "choice": 1963397,
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- "noul": 294083,
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  "score": 242520
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  "variants": {
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- "criteria_permutation": 79765,
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@@ -3558,5 +3560,11 @@
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  "rows": 15000,
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  "sources": 715
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  }
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- }
 
 
 
 
 
 
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  }
 
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  },
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  "splits": {
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  "train": {
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+ "rows": 2514111,
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  "sources": {
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  "AES2-essay-scoring": 2521,
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  "AdjectiveScaleProbe-nli": 3995,
 
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  "yahoo_answers_topics": 5119,
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  "sources": 715
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+ "manifest": "full/additions/517726f3090c/manifest.json",
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+ "train_rows": 14111
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+ }
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+ ]
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  }
sources.yaml CHANGED
@@ -68,6 +68,7 @@ datasets:
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  - WhereIsAI/github-issue-similarity
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  - WillHeld/top_v2
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  - X-LANCE/WebSRC_v1.0
 
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  - Yelp/yelp_review_full
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  - YufeiHFUT/DocRED_origin
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  - Zhengping/UNLI
@@ -10449,3 +10450,24 @@ sources:
10449
  card_licenses:
10450
  Yelp/yelp_review_full:
10451
  - other
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - WhereIsAI/github-issue-similarity
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  - WillHeld/top_v2
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  - X-LANCE/WebSRC_v1.0
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+ - Xueren/EMS-MCQA
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  - Yelp/yelp_review_full
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  - YufeiHFUT/DocRED_origin
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  - Zhengping/UNLI
 
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  card_licenses:
10451
  Yelp/yelp_review_full:
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  - other
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+ ems-mcqa:
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+ rows:
10455
+ train: 14111
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+ dataset: Xueren/EMS-MCQA
10457
+ revision: dd0a05836786cb8c2de489916b13505531323d8e
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+ revisions:
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+ Xueren/EMS-MCQA: dd0a05836786cb8c2de489916b13505531323d8e
10460
+ license: mit, mit (original source)
10461
+ license_use: commercial
10462
+ card_licenses:
10463
+ Xueren/EMS-MCQA:
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+ - mit
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+ source_license_evidence:
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+ license: mit
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+ license_use: commercial
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+ checked: '2026-10-17'
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+ scope: Publisher-declared MIT for the released public practice-question subset; source websites remain identified per
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+ row. Expert review covered 100 questions, not every training label.
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+ url: https://huggingface.co/datasets/Xueren/EMS-MCQA
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+ additional_urls:
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+ - https://arxiv.org/html/2511.10900v1