
# 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

- **Homepage:** [https://cs.rochester.edu/nlp/rocstories/](https://cs.rochester.edu/nlp/rocstories/)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [Lsdsem 2017 shared task: The story cloze test](https://aclanthology.org/W17-0906.pdf)
- **Point of Contact:** [Nasrin Mostafazadeh](nasrinm@cs.rochester.edu)
- **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

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### 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](https://github.com/zaidalyafeai).
task_categories:other annotations_creators:found language_creators:found multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:en license:unknown region:us
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TAGS
#task_categories-other #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-unknown #region-us 

Dataset Card for "story\_cloze"
===============================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ 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
	+ Contributions


Dataset Description
-------------------


* Homepage: URL
* Repository:
* 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.


### 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



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


### Contributions


Thanks to @zaidalyafeai.



### 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. ### 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



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 ### Contributions


Thanks to @zaidalyafeai.
TAGS
#task_categories-other #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-unknown #region-us 
 ### 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. ### 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



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 ### Contributions


Thanks to @zaidalyafeai.
passage: TAGS
#task_categories-other #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-unknown #region-us 
### 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.### 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



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### Contributions


Thanks to @zaidalyafeai.