Datasets:
Download README.md from tasksource/discosense: direct link, hf CLI and curl.
- Browser
- Download file 1.73 kB
-
https://huggingface.co/datasets/tasksource/discosense/resolve/main/README.md
- Command line
-
hf download hf://datasets/tasksource/discosense/README.md
-
curl -L -o README.md https://huggingface.co/datasets/tasksource/discosense/resolve/main/README.md
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, original distribution. Repackaged as parquet for tasksource by scripts/repackage_dataset/text.py.
Conversion provenance: source revisions, hashes, configuration and exclusions.