Datasets:
Multilinguality:
multilingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
Tags:
other-story-completion
License:
| annotations_creators: | |
| - found | |
| language_creators: | |
| - found | |
| language: | |
| - ar | |
| - es | |
| - eu | |
| - hi | |
| - id | |
| - zh | |
| - ru | |
| - my | |
| license: | |
| - unknown | |
| multilinguality: | |
| - multilingual | |
| size_categories: | |
| - 1K<n<10K | |
| source_datasets: | |
| - original | |
| task_ids: [] | |
| tags: | |
| - other-story-completion | |
| # Dataset Card for "story_cloze" | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## 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. | |
| ### 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| | |
| |-------|-----:|---:| | |
| |lang|1871|1871| | |