story_cloze / README.md
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metadata
annotations_creators:
  - found
language_creators:
  - found
language:
  - en
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - other
task_ids: []
paperswithcode_id: null
pretty_name: Story Cloze Test
dataset_info:
  - config_name: '2016'
    features:
      - name: story_id
        dtype: string
      - name: input_sentence_1
        dtype: string
      - name: input_sentence_2
        dtype: string
      - name: input_sentence_3
        dtype: string
      - name: input_sentence_4
        dtype: string
      - name: sentence_quiz1
        dtype: string
      - name: sentence_quiz2
        dtype: string
      - name: answer_right_ending
        dtype: int32
    splits:
      - name: validation
        num_bytes: 614084
        num_examples: 1871
      - name: test
        num_bytes: 613184
        num_examples: 1871
    download_size: 0
    dataset_size: 1227268
  - config_name: '2018'
    features:
      - name: story_id
        dtype: string
      - name: input_sentence_1
        dtype: string
      - name: input_sentence_2
        dtype: string
      - name: input_sentence_3
        dtype: string
      - name: input_sentence_4
        dtype: string
      - name: sentence_quiz1
        dtype: string
      - name: sentence_quiz2
        dtype: string
      - name: answer_right_ending
        dtype: int32
    splits:
      - name: validation
        num_bytes: 515439
        num_examples: 1571
    download_size: 0
    dataset_size: 515439

Dataset Card for "story_cloze"

Table of Contents

Dataset Description

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: 2.13 MB
  • Size of the generated dataset: 2.13 MB
  • Total amount of disk used: 2.15 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

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

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.