language:
- en
license: other
license_name: mixed-see-source
license_link: https://github.com/uspraveen/Jevify/blob/main/docs/DATASETS.md
task_categories:
- text-classification
tags:
- decision-model
- calibration
- jev
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
- split: validation
path: data/validation-*
jevbench
A flat, loadable sample of Praveenrajus/jev-bench
(revision c37b0f6): 200 rows per data config and split, from the 22 data configs (model-prediction dumps
excluded), merged into one table with the config in a task column.
Each row is a decision: a state, a typed question (JSON: type is choice, noul yes/no, or score
on an ordinal scale, with instructions and criteria), the gold label, and soft_label, the human label
distribution where annotator votes exist (chaosnli, go_emotions, civil_comments, measuring_hate_speech; empty
otherwise). Every field is a string: the source configs disagree on soft_label's type, so they cannot be
loaded as one dataset directly.
Licenses are those of the underlying datasets; see the source dataset's
manifest. Rows are sampled with a fixed
seed by build_jevbench.py in this repo:
python build_jevbench.py --out DIR [--push tasksource/jevbench] rebuilds it exactly.