
# Dataset Card for "qasc"

## 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://allenai.org/data/qasc](https://allenai.org/data/qasc)
- **Repository:** https://github.com/allenai/qasc/
- **Paper:** [QASC: A Dataset for Question Answering via Sentence Composition](https://arxiv.org/abs/1910.11473)
- **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:** 1.61 MB
- **Size of the generated dataset:** 5.87 MB
- **Total amount of disk used:** 7.49 MB

### Dataset Summary

QASC is a question-answering dataset with a focus on sentence composition. It consists of 9,980 8-way multiple-choice
questions about grade school science (8,134 train, 926 dev, 920 test), and comes with a corpus of 17M sentences.

### 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

#### default

- **Size of downloaded dataset files:** 1.61 MB
- **Size of the generated dataset:** 5.87 MB
- **Total amount of disk used:** 7.49 MB

An example of 'validation' looks as follows.
```
{
    "answerKey": "F",
    "choices": {
        "label": ["A", "B", "C", "D", "E", "F", "G", "H"],
        "text": ["sand", "occurs over a wide range", "forests", "Global warming", "rapid changes occur", "local weather conditions", "measure of motion", "city life"]
    },
    "combinedfact": "Climate is generally described in terms of local weather conditions",
    "fact1": "Climate is generally described in terms of temperature and moisture.",
    "fact2": "Fire behavior is driven by local weather conditions such as winds, temperature and moisture.",
    "formatted_question": "Climate is generally described in terms of what? (A) sand (B) occurs over a wide range (C) forests (D) Global warming (E) rapid changes occur (F) local weather conditions (G) measure of motion (H) city life",
    "id": "3NGI5ARFTT4HNGVWXAMLNBMFA0U1PG",
    "question": "Climate is generally described in terms of what?"
}
```

### Data Fields

The data fields are the same among all splits.

#### default
- `id`: a `string` feature.
- `question`: a `string` feature.
- `choices`: a dictionary feature containing:
  - `text`: a `string` feature.
  - `label`: a `string` feature.
- `answerKey`: a `string` feature.
- `fact1`: a `string` feature.
- `fact2`: a `string` feature.
- `combinedfact`: a `string` feature.
- `formatted_question`: a `string` feature.

### Data Splits

| name  |train|validation|test|
|-------|----:|---------:|---:|
|default| 8134|       926| 920|

## 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

The dataset is released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.

### Citation Information

```
@article{allenai:qasc,
      author    = {Tushar Khot and Peter Clark and Michal Guerquin and Peter Jansen and Ashish Sabharwal},
      title     = {QASC: A Dataset for Question Answering via Sentence Composition},
      journal   = {arXiv:1910.11473v2},
      year      = {2020},
}
```

### Contributions

Thanks to [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun) for adding this dataset.
task_categories:question-answering task_categories:multiple-choice task_ids:extractive-qa task_ids:multiple-choice-qa annotations_creators:crowdsourced language_creators:found multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:en license:cc-by-4.0 arxiv:1910.11473 region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["question-answering", "multiple-choice"], "task_ids": ["extractive-qa", "multiple-choice-qa"], "paperswithcode_id": "qasc", "pretty_name": "Question Answering via Sentence Composition (QASC)", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "choices", "sequence": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}]}, {"name": "answerKey", "dtype": "string"}, {"name": "fact1", "dtype": "string"}, {"name": "fact2", "dtype": "string"}, {"name": "combinedfact", "dtype": "string"}, {"name": "formatted_question", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4891878, "num_examples": 8134}, {"name": "test", "num_bytes": 390534, "num_examples": 920}, {"name": "validation", "num_bytes": 559180, "num_examples": 926}], "download_size": 2349698, "dataset_size": 5841592}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "validation", "path": "data/validation-*"}]}]}
TAGS
#task_categories-question-answering #task_categories-multiple-choice #task_ids-extractive-qa #task_ids-multiple-choice-qa #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #arxiv-1910.11473 #region-us 

Dataset Card for "qasc"
=======================


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: QASC: A Dataset for Question Answering via Sentence Composition
* Point of Contact:
* Size of downloaded dataset files: 1.61 MB
* Size of the generated dataset: 5.87 MB
* Total amount of disk used: 7.49 MB


### Dataset Summary


QASC is a question-answering dataset with a focus on sentence composition. It consists of 9,980 8-way multiple-choice
questions about grade school science (8,134 train, 926 dev, 920 test), and comes with a corpus of 17M sentences.


### Supported Tasks and Leaderboards


### Languages


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


### Data Instances


#### default


* Size of downloaded dataset files: 1.61 MB
* Size of the generated dataset: 5.87 MB
* Total amount of disk used: 7.49 MB


An example of 'validation' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### default


* 'id': a 'string' feature.
* 'question': a 'string' feature.
* 'choices': a dictionary feature containing:
	+ 'text': a 'string' feature.
	+ 'label': a 'string' feature.
* 'answerKey': a 'string' feature.
* 'fact1': a 'string' feature.
* 'fact2': a 'string' feature.
* 'combinedfact': a 'string' feature.
* 'formatted\_question': a 'string' 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


The dataset is released under CC BY 4.0 license.


### Contributions


Thanks to @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.



### Dataset Summary


QASC is a question-answering dataset with a focus on sentence composition. It consists of 9,980 8-way multiple-choice
questions about grade school science (8,134 train, 926 dev, 920 test), and comes with a corpus of 17M sentences. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### default


* Size of downloaded dataset files: 1.61 MB
* Size of the generated dataset: 5.87 MB
* Total amount of disk used: 7.49 MB


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


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


* 'id': a 'string' feature.
* 'question': a 'string' feature.
* 'choices': a dictionary feature containing:
	+ 'text': a 'string' feature.
	+ 'label': a 'string' feature.
* 'answerKey': a 'string' feature.
* 'fact1': a 'string' feature.
* 'fact2': a 'string' feature.
* 'combinedfact': a 'string' feature.
* 'formatted\_question': a 'string' 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


The dataset is released under CC BY 4.0 license. ### Contributions


Thanks to @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.
TAGS
#task_categories-question-answering #task_categories-multiple-choice #task_ids-extractive-qa #task_ids-multiple-choice-qa #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #arxiv-1910.11473 #region-us 
 ### Dataset Summary


QASC is a question-answering dataset with a focus on sentence composition. It consists of 9,980 8-way multiple-choice
questions about grade school science (8,134 train, 926 dev, 920 test), and comes with a corpus of 17M sentences. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### default


* Size of downloaded dataset files: 1.61 MB
* Size of the generated dataset: 5.87 MB
* Total amount of disk used: 7.49 MB


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


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


* 'id': a 'string' feature.
* 'question': a 'string' feature.
* 'choices': a dictionary feature containing:
	+ 'text': a 'string' feature.
	+ 'label': a 'string' feature.
* 'answerKey': a 'string' feature.
* 'fact1': a 'string' feature.
* 'fact2': a 'string' feature.
* 'combinedfact': a 'string' feature.
* 'formatted\_question': a 'string' 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


The dataset is released under CC BY 4.0 license. ### Contributions


Thanks to @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.
passage: TAGS
#task_categories-question-answering #task_categories-multiple-choice #task_ids-extractive-qa #task_ids-multiple-choice-qa #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #arxiv-1910.11473 #region-us 
### Dataset Summary


QASC is a question-answering dataset with a focus on sentence composition. It consists of 9,980 8-way multiple-choice
questions about grade school science (8,134 train, 926 dev, 920 test), and comes with a corpus of 17M sentences.### Supported Tasks and Leaderboards### Languages


Dataset Structure
-----------------### Data Instances#### default


* Size of downloaded dataset files: 1.61 MB
* Size of the generated dataset: 5.87 MB
* Total amount of disk used: 7.49 MB


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


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


* 'id': a 'string' feature.
* 'question': a 'string' feature.
* 'choices': a dictionary feature containing:
	+ 'text': a 'string' feature.
	+ 'label': a 'string' feature.
* 'answerKey': a 'string' feature.
* 'fact1': a 'string' feature.
* 'fact2': a 'string' feature.
* 'combinedfact': a 'string' feature.
* 'formatted\_question': a 'string' 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