
# Dataset Card for "quail"

## 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://text-machine-lab.github.io/blog/2020/quail/](https://text-machine-lab.github.io/blog/2020/quail/)
- **Repository:** https://github.com/text-machine-lab/quail
- **Paper:** [Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks](https://doi.org/10.1609/aaai.v34i05.6398 )
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Size of downloaded dataset files:** 6.41 MB
- **Size of the generated dataset:** 29.62 MB
- **Total amount of disk used:** 36.03 MB

### Dataset Summary

QuAIL is a  reading comprehension dataset. QuAIL contains 15K multi-choice questions in texts 300-350 tokens long 4 domains (news, user stories, fiction, blogs).QuAIL is balanced and annotated for question types.

### Supported Tasks and Leaderboards

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

### Languages

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

## Dataset Structure

### Data Instances

#### quail

- **Size of downloaded dataset files:** 6.41 MB
- **Size of the generated dataset:** 29.62 MB
- **Total amount of disk used:** 36.03 MB

An example of 'train' looks as follows.
```
This example was too long and was cropped:

{
    "answers": ["the cousin is not friendly", "the cousin could have been pretier", "not enough information", "the cousin was too nice"],
    "context": "\"That fall came and I went back to Michigan and the school year went by and summer came and I never really thought about it. I'm...",
    "context_id": "f001",
    "correct_answer_id": 0,
    "domain": "fiction",
    "id": "f001_19",
    "metadata": {
        "author": "Joseph Devon",
        "title": "Black Eyed Susan",
        "url": "http://manybooks.net/pages/devonjother08black_eyed_susan/0.html"
    },
    "question": "After the events in the text what does the author think about the cousin?",
    "question_id": "19",
    "question_type": "Subsequent_state"
}
```

### Data Fields

The data fields are the same among all splits.

#### quail
- `id`: a `string` feature.
- `context_id`: a `string` feature.
- `question_id`: a `string` feature.
- `domain`: a `string` feature.
- `author`: a `string` feature.
- `title`: a `string` feature.
- `url`: a `string` feature.
- `context`: a `string` feature.
- `question`: a `string` feature.
- `question_type`: a `string` feature.
- `answers`: a `list` of `string` features.
- `correct_answer_id`: a `int32` feature.

### Data Splits

|name |train|challenge|validation|
|-----|----:|--------:|---------:|
|quail|10246|      556|      2164|

## 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{DBLP:conf/aaai/RogersKDR20,
  author    = {Anna Rogers and
               Olga Kovaleva and
               Matthew Downey and
               Anna Rumshisky},
  title     = {Getting Closer to {AI} Complete Question Answering: {A} Set of Prerequisite
               Real Tasks},
  booktitle = {The Thirty-Fourth {AAAI} Conference on Artificial Intelligence, {AAAI}
               2020, The Thirty-Second Innovative Applications of Artificial Intelligence
               Conference, {IAAI} 2020, The Tenth {AAAI} Symposium on Educational
               Advances in Artificial Intelligence, {EAAI} 2020, New York, NY, USA,
               February 7-12, 2020},
  pages     = {8722--8731},
  publisher = {{AAAI} Press},
  year      = {2020},
  url       = {https://aaai.org/ojs/index.php/AAAI/article/view/6398},
  timestamp = {Thu, 04 Jun 2020 13:18:48 +0200},
  biburl    = {https://dblp.org/rec/conf/aaai/RogersKDR20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

```


### Contributions

Thanks to [@sai-prasanna](https://github.com/sai-prasanna), [@ngdodd](https://github.com/ngdodd) for adding this dataset.
task_categories:multiple-choice task_ids:multiple-choice-qa annotations_creators:crowdsourced language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:en license:cc-by-nc-sa-4.0 region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["multiple-choice"], "task_ids": ["multiple-choice-qa"], "paperswithcode_id": "quail", "pretty_name": "Question Answering for Artificial Intelligence (QuAIL)", "dataset_info": {"config_name": "quail", "features": [{"name": "id", "dtype": "string"}, {"name": "context_id", "dtype": "string"}, {"name": "question_id", "dtype": "string"}, {"name": "domain", "dtype": "string"}, {"name": "metadata", "struct": [{"name": "author", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}]}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "question_type", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "correct_answer_id", "dtype": "int32"}], "splits": [{"name": "train", "num_bytes": 23432601, "num_examples": 10246}, {"name": "validation", "num_bytes": 4989531, "num_examples": 2164}, {"name": "challenge", "num_bytes": 1199792, "num_examples": 556}], "download_size": 2286403, "dataset_size": 29621924}, "configs": [{"config_name": "quail", "data_files": [{"split": "train", "path": "quail/train-*"}, {"split": "validation", "path": "quail/validation-*"}, {"split": "challenge", "path": "quail/challenge-*"}], "default": true}]}
TAGS
#task_categories-multiple-choice #task_ids-multiple-choice-qa #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-nc-sa-4.0 #region-us 

Dataset Card for "quail"
========================


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: URL
* Paper: Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks
* Point of Contact:
* Size of downloaded dataset files: 6.41 MB
* Size of the generated dataset: 29.62 MB
* Total amount of disk used: 36.03 MB


### Dataset Summary


QuAIL is a reading comprehension dataset. QuAIL contains 15K multi-choice questions in texts 300-350 tokens long 4 domains (news, user stories, fiction, blogs).QuAIL is balanced and annotated for question types.


### Supported Tasks and Leaderboards


### Languages


Dataset Structure
-----------------


### Data Instances


#### quail


* Size of downloaded dataset files: 6.41 MB
* Size of the generated dataset: 29.62 MB
* Total amount of disk used: 36.03 MB


An example of 'train' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### quail


* 'id': a 'string' feature.
* 'context\_id': a 'string' feature.
* 'question\_id': a 'string' feature.
* 'domain': a 'string' feature.
* 'author': a 'string' feature.
* 'title': a 'string' feature.
* 'url': a 'string' feature.
* 'context': a 'string' feature.
* 'question': a 'string' feature.
* 'question\_type': a 'string' feature.
* 'answers': a 'list' of 'string' features.
* 'correct\_answer\_id': a 'int32' feature.


### 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 @sai-prasanna, @ngdodd for adding this dataset.



### Dataset Summary


QuAIL is a reading comprehension dataset. QuAIL contains 15K multi-choice questions in texts 300-350 tokens long 4 domains (news, user stories, fiction, blogs).QuAIL is balanced and annotated for question types. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### quail


* Size of downloaded dataset files: 6.41 MB
* Size of the generated dataset: 29.62 MB
* Total amount of disk used: 36.03 MB


An example of 'train' looks as follows. ### Data Fields


The data fields are the same among all splits. #### quail


* 'id': a 'string' feature.
* 'context\_id': a 'string' feature.
* 'question\_id': a 'string' feature.
* 'domain': a 'string' feature.
* 'author': a 'string' feature.
* 'title': a 'string' feature.
* 'url': a 'string' feature.
* 'context': a 'string' feature.
* 'question': a 'string' feature.
* 'question\_type': a 'string' feature.
* 'answers': a 'list' of 'string' features.
* 'correct\_answer\_id': a 'int32' feature. ### 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 @sai-prasanna, @ngdodd for adding this dataset.
TAGS
#task_categories-multiple-choice #task_ids-multiple-choice-qa #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-nc-sa-4.0 #region-us 
 ### Dataset Summary


QuAIL is a reading comprehension dataset. QuAIL contains 15K multi-choice questions in texts 300-350 tokens long 4 domains (news, user stories, fiction, blogs).QuAIL is balanced and annotated for question types. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### quail


* Size of downloaded dataset files: 6.41 MB
* Size of the generated dataset: 29.62 MB
* Total amount of disk used: 36.03 MB


An example of 'train' looks as follows. ### Data Fields


The data fields are the same among all splits. #### quail


* 'id': a 'string' feature.
* 'context\_id': a 'string' feature.
* 'question\_id': a 'string' feature.
* 'domain': a 'string' feature.
* 'author': a 'string' feature.
* 'title': a 'string' feature.
* 'url': a 'string' feature.
* 'context': a 'string' feature.
* 'question': a 'string' feature.
* 'question\_type': a 'string' feature.
* 'answers': a 'list' of 'string' features.
* 'correct\_answer\_id': a 'int32' feature. ### 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 @sai-prasanna, @ngdodd for adding this dataset.
passage: TAGS
#task_categories-multiple-choice #task_ids-multiple-choice-qa #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-nc-sa-4.0 #region-us 
### Dataset Summary


QuAIL is a reading comprehension dataset. QuAIL contains 15K multi-choice questions in texts 300-350 tokens long 4 domains (news, user stories, fiction, blogs).QuAIL is balanced and annotated for question types.### Supported Tasks and Leaderboards### Languages


Dataset Structure
-----------------### Data Instances#### quail


* Size of downloaded dataset files: 6.41 MB
* Size of the generated dataset: 29.62 MB
* Total amount of disk used: 36.03 MB


An example of 'train' looks as follows.### Data Fields


The data fields are the same among all splits.#### quail


* 'id': a 'string' feature.
* 'context\_id': a 'string' feature.
* 'question\_id': a 'string' feature.
* 'domain': a 'string' feature.
* 'author': a 'string' feature.
* 'title': a 'string' feature.
* 'url': a 'string' feature.
* 'context': a 'string' feature.
* 'question': a 'string' feature.
* 'question\_type': a 'string' feature.
* 'answers': a 'list' of 'string' features.
* 'correct\_answer\_id': a 'int32' feature.### 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
---------------------------------