metadata
dataset_info:
features:
- name: inputs
dtype: string
- name: choices_list
list: string
- name: labels
dtype: int64
- name: metadata
dtype: string
splits:
- name: train
num_bytes: 6698998
num_examples: 8819
- name: validation
num_bytes: 1367501
num_examples: 1303
- name: test
num_bytes: 1198681
num_examples: 1528
download_size: 6548725
dataset_size: 9265180
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
license: cc-by-4.0
source_datasets: []
ukpconvarg
UKPConvArg1Strict native two-argument convincingness judgments (CC BY 4.0).
Original source: https://github.com/UKPLab/acl2016-convincing-arguments. No official train/test partition: deterministically hash-ranked topics allocate 12 debates to training and two each to validation and test, keeping both stance sides and all recurring arguments of a debate together. These are internal holdouts, not the paper's cross-validation folds.
Original data: original distribution. Repackaged as parquet for tasksource by scripts/repackage_dataset/stance.py.
Conversion provenance: source revisions, hashes, configuration and exclusions.