rocstories-combined / README.md
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---
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
<!-- Provide a quick summary of the dataset. -->
This dataset is a merged version of the Spring 2016 and Winter 2017 versions of the [ROCStories]() Dataset.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James Allen
- **Language(s) (NLP):** English
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Paper:** [A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories](https://arxiv.org/abs/1604.01696)
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
Sentences Ordering, Sentence Comprehension, Evaluation of Language Models on Sentence Ordering.
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
Used as the dataset for the project [llm-sentence-ordering](https://github.com/ShawonAshraf/llm-sentence-ordering).
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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 [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**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