Datasets:

Task Categories: other
Languages: en
Multilinguality: monolingual
Size Categories: 1K<n<10K
Licenses: unknown
Language Creators: found
Annotations Creators: found
Source Datasets: original
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Message:       The dataset story_cloze with config 2016 requires manual data.
                    Please follow the manual download instructions:
                     To use Story Cloze you have to download it manually. Please fill this google form (http://goo.gl/forms/aQz39sdDrO). Complete the form. Then you will recieve a download link for the dataset. Load it using: `datasets.load_dataset('story_cloze', data_dir='path/to/folder/folder_name')`
                    Manual data can be loaded with:
                     datasets.load_dataset(story_cloze, data_dir='<path/to/manual/data>')

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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

Languages

English

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

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

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

More Information Needed

Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

More Information Needed

Licensing Information

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Citation Information

@inproceedings{mostafazadeh2017lsdsem,
  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},
  pages={46--51},
  year={2017}
}

Contributions

Thanks to @zaidalyafeai.

Models trained or fine-tuned on story_cloze

None yet