Languages: English
Multilinguality: monolingual
Size Categories: 1K<n<10K
Language Creators: found
Annotations Creators: found
Source Datasets: original
License: unknown
The Dataset Preview has been disabled on this dataset. The authors forbid processing this dataset automatically and require the users to download the dataset files manually.

Dataset Card for "story_cloze"

Dataset Summary

Story Cloze Test' is a new commonsense reasoning framework for evaluating story understanding, story generation, and script learning.This test requires a system to choose the correct ending to a four-sentence story.

Supported Tasks and Leaderboards

commonsense reasoning



Dataset Structure

Data Instances

  • Size of downloaded dataset files: 2.03 MB
  • Size of the generated dataset: 2.03 MB
  • Total amount of disk used: 2.05 MB

An example of 'train' looks as follows.

{'answer_right_ending': 1,
 'input_sentence_1': 'Rick grew up in a troubled household.',
 'input_sentence_2': 'He never found good support in family, and turned to gangs.',
 'input_sentence_3': "It wasn't long before Rick got shot in a robbery.",
 'input_sentence_4': 'The incident caused him to turn a new leaf.',
 'sentence_quiz1': 'He is happy now.',
 'sentence_quiz2': 'He joined a gang.',
 'story_id': '138d5bfb-05cc-41e3-bf2c-fa85ebad14e2'}

Data Fields

The data fields are the same among all splits.

  • input_sentence_1: The first statement in the story.
  • input_sentence_2: The second statement in the story.
  • input_sentence_3: The third statement in the story.
  • input_sentence_4: The forth statement in the story.
  • sentence_quiz1: first possible continuation of the story.
  • sentence_quiz2: second possible continuation of the story.
  • answer_right_ending: correct possible ending; either 1 or 2.
  • story_id: story id.

Data Splits

name validation test
2016 1871 1871
2018 1571 -

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

  title={Lsdsem 2017 shared task: The story cloze test},
  author={Mostafazadeh, Nasrin and Roth, Michael and Louis, Annie and Chambers, Nathanael and Allen, James},
  booktitle={Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics},


Thanks to @zaidalyafeai.

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