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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](https://github.com/UKPLab/acl2016-convincing-arguments). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/stance.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/stance.py#L118).
[Conversion provenance](provenance.json): source revisions, hashes, configuration and exclusions.
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