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Dataset card

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  1. README.md +26 -27
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  ---
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- dataset_info:
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- features:
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- - name: task
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- dtype: string
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- - name: id
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- dtype: string
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- - name: primitive
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- dtype: string
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- - name: state
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- dtype: string
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- - name: question
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- dtype: string
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- - name: label
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- dtype: string
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- - name: soft_label
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- dtype: string
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- - name: meta
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- dtype: string
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- splits:
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- - name: test
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- num_bytes: 6751054
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- num_examples: 4400
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- - name: validation
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- num_bytes: 6552813
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- num_examples: 4120
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- download_size: 2154096
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- dataset_size: 13303867
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  configs:
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  - config_name: default
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  data_files:
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  - split: validation
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  path: data/validation-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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+ license: other
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+ license_name: mixed-see-source
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+ license_link: https://github.com/uspraveen/Jevify/blob/main/docs/DATASETS.md
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+ task_categories:
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+ - text-classification
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+ tags:
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+ - decision-model
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+ - calibration
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+ - jev
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  configs:
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  - config_name: default
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  data_files:
 
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  - split: validation
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  path: data/validation-*
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  ---
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+ # jevbench
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+
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+ A flat, loadable sample of [Praveenrajus/jev-bench](https://huggingface.co/datasets/Praveenrajus/jev-bench)
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+ (revision `c37b0f6`): 200 rows per data config and split, from the 22 data configs (model-prediction dumps
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+ excluded), merged into one table with the config in a `task` column.
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+
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+ Each row is a decision: a `state`, a typed `question` (JSON: `type` is `choice`, `noul` yes/no, or `score`
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+ on an ordinal scale, with `instructions` and `criteria`), the gold `label`, and `soft_label`, the human label
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+ distribution where annotator votes exist (chaosnli, go_emotions, civil_comments, measuring_hate_speech; empty
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+ otherwise). Every field is a string: the source configs disagree on `soft_label`'s type, so they cannot be
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+ loaded as one dataset directly.
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+
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+ Licenses are those of the underlying datasets; see the source dataset's
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+ [manifest](https://github.com/uspraveen/Jevify/blob/main/docs/DATASETS.md). Rows are sampled with a fixed
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+ seed by `task_diagnostics/build_jevbench.py`.