Dataset card
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README.md
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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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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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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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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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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`.
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