Datasets:
File size: 1,732 Bytes
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dataset_info:
features:
- name: idx
dtype: int64
- name: context
dtype: string
- name: marker
dtype: string
- name: option_0
dtype: string
- name: option_1
dtype: string
- name: option_2
dtype: string
- name: option_3
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 4950296
num_examples: 9299
- name: test
num_bytes: 2038685
num_examples: 3757
download_size: 4621420
dataset_size: 6988981
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
license: apache-2.0
source_datasets:
- prajjwal1/discosense
---
# discosense
DiscoSense: four-choice commonsense reasoning with discourse connectives.
Original distribution: https://github.com/prajjwal1/discosense.
Source paper: https://arxiv.org/abs/2210.12478.
All native fields, option order, integer gold indices and train/test partitions
are preserved verbatim. No validation partition or new distractors are created.
Use both `context` and `marker` as input; `label` indexes `option_0`–`option_3`.
The pinned source Hub README declares Apache-2.0; see provenance for evidence.
Rebuild with `python scripts/upload_repackaged.py discosense`.
Original data: [prajjwal1/discosense](https://huggingface.co/datasets/prajjwal1/discosense), [original distribution](https://github.com/prajjwal1/discosense). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/text.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/text.py#L39).
[Conversion provenance](provenance.json): source revisions, hashes, configuration and exclusions.
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