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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.

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 [optional]

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 [optional]

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