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Add tasksource-jev-typed-decisions dataset card

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  1. README.md +1 -45
README.md CHANGED
@@ -16,51 +16,6 @@ tags:
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  - multiple-choice
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  size_categories:
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  - 1M<n<10M
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: validation
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- path: data/validation-*
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- - split: test
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- path: data/test-*
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- dataset_info:
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- features:
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- - name: state
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- dtype: string
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- - name: id
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- dtype: string
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- - name: kind
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- dtype: string
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- - name: options
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- list: string
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- - name: target
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- list: float64
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- - name: question
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- dtype: string
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- - name: source
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- dtype: string
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- - name: variant
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- dtype: string
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- - name: split
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- dtype: string
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- - name: group_id
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- dtype: string
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- - name: question_id
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 1219014177
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- num_examples: 1000000
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- - name: validation
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- num_bytes: 18091829
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- num_examples: 15000
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- - name: test
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- num_bytes: 19146132
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- num_examples: 15000
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- download_size: 707871258
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- dataset_size: 1256252138
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  ---
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  # tasksource-jev-typed-decisions
@@ -142,6 +97,7 @@ following each source's own train/dev/test splits where it has them.
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  - **Mixing.** Formats get fixed shares of the train rows (47% classification, 30% multiple choice, 3% token labeling, 10% graded, 10% procedural). Within a format, dataset families get equal shares, scaled by [hand-set weights](https://github.com/sileod/tasksource/blob/main/src/tasksource/metadata/weights.py) (more for adversarial NLI, long documents and preference pairs; less for templated probes). Related questions are kept together.
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  - The first 1,000 train rows are interleaved to show variety in the Dataset Viewer; the rest is shuffled.
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  - Evaluation benchmarks (BIG-bench, MMLU, BLiMP, MATH test, ...) are left out so they stay clean for evaluation.
 
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  - **Audit trail.** The [source mix](release-audit.json), [failed source list](failed-tasks.json), and [build manifest](build-manifest.json) ship with the data.
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  - **Reproducible.** The [build runbook](https://github.com/sileod/tasksource/blob/main/docs/jev/README.md) rebuilds the release from [Tasksource](https://github.com/sileod/tasksource)'s [task catalog](https://github.com/sileod/tasksource/blob/main/tasks.md).
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  - multiple-choice
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  size_categories:
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  - 1M<n<10M
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # tasksource-jev-typed-decisions
 
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  - **Mixing.** Formats get fixed shares of the train rows (47% classification, 30% multiple choice, 3% token labeling, 10% graded, 10% procedural). Within a format, dataset families get equal shares, scaled by [hand-set weights](https://github.com/sileod/tasksource/blob/main/src/tasksource/metadata/weights.py) (more for adversarial NLI, long documents and preference pairs; less for templated probes). Related questions are kept together.
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  - The first 1,000 train rows are interleaved to show variety in the Dataset Viewer; the rest is shuffled.
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  - Evaluation benchmarks (BIG-bench, MMLU, BLiMP, MATH test, ...) are left out so they stay clean for evaluation.
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+ - **Sources.** [sources.yaml](sources.yaml) lists every source with its rows, the Hub dataset and revision it was loaded from, and the original dataset behind each tasksource copy.
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  - **Audit trail.** The [source mix](release-audit.json), [failed source list](failed-tasks.json), and [build manifest](build-manifest.json) ship with the data.
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  - **Reproducible.** The [build runbook](https://github.com/sileod/tasksource/blob/main/docs/jev/README.md) rebuilds the release from [Tasksource](https://github.com/sileod/tasksource)'s [task catalog](https://github.com/sileod/tasksource/blob/main/tasks.md).
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