albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#2)
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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 Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://cs.rochester.edu/nlp/rocstories/
- Repository: More Information Needed
- Paper: Lsdsem 2017 shared task: The story cloze test
- Point of Contact: Nasrin Mostafazadeh
- Size of downloaded dataset files: 2.13 MB
- Size of the generated dataset: 2.13 MB
- Total amount of disk used: 2.15 MB
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
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
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.