metadata
dataset_info:
features:
- name: title
dtype: string
- name: sentences
sequence: string
- name: shuffled_sentences
sequence: string
- name: gold_order
sequence: int64
splits:
- name: train
num_bytes: 54656181
num_examples: 98161
download_size: 32722430
dataset_size: 54656181
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Dataset Card for Dataset Name
This dataset is a merged version of the Spring 2016 and Winter 2017 versions of the ROCStories Dataset. You can request the dataset from using the form on the website as well.
Dataset Details
Dataset Description
- Curated by: Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James Allen
- Language(s) (NLP): English
Dataset Sources
Uses
Sentences Ordering, Sentence Comprehension, Evaluation of Language Models on Sentence Ordering.
Direct Use
Used as the dataset for the project llm-sentence-ordering.
Dataset Structure
The dataset contains 98161 stories, each containing 5 sentences. Each instance or story includes a title, the original and the shuffled order of the sentences and a list of integers as gold order for evaluating prediction from a model.
Citation
BibTeX:
@misc{mostafazadeh2016corpus,
title={A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories},
author={Nasrin Mostafazadeh and Nathanael Chambers and Xiaodong He and Devi Parikh and Dhruv Batra and Lucy Vanderwende and Pushmeet Kohli and James Allen},
year={2016},
eprint={1604.01696},
archivePrefix={arXiv},
primaryClass={id='cs.CL' full_name='Computation and Language' is_active=True alt_name='cmp-lg' in_archive='cs' is_general=False description='Covers natural language processing. Roughly includes material in ACM Subject Class I.2.7. Note that work on artificial languages (programming languages, logics, formal systems) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc.) is not appropriate for this area.'}
}
Dataset Card Authors
Shawon Ashraf