
# Dataset Card for "ai2_arc"

## 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/arc](https://allenai.org/data/arc)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge](https://arxiv.org/abs/1803.05457)
- **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:** 1361.68 MB
- **Size of the generated dataset:** 2.28 MB
- **Total amount of disk used:** 1363.96 MB

### Dataset Summary

A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in
 advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains
 only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also
 including a corpus of over 14 million science sentences relevant to the task, and an implementation of three neural baseline models for this dataset. We pose ARC as a challenge to the community.

### 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

#### ARC-Challenge

- **Size of downloaded dataset files:** 680.84 MB
- **Size of the generated dataset:** 0.83 MB
- **Total amount of disk used:** 681.67 MB

An example of 'train' looks as follows.
```
{
    "answerKey": "B",
    "choices": {
        "label": ["A", "B", "C", "D"],
        "text": ["Shady areas increased.", "Food sources increased.", "Oxygen levels increased.", "Available water increased."]
    },
    "id": "Mercury_SC_405487",
    "question": "One year, the oak trees in a park began producing more acorns than usual. The next year, the population of chipmunks in the park also increased. Which best explains why there were more chipmunks the next year?"
}
```

#### ARC-Easy

- **Size of downloaded dataset files:** 680.84 MB
- **Size of the generated dataset:** 1.45 MB
- **Total amount of disk used:** 682.29 MB

An example of 'train' looks as follows.
```
{
    "answerKey": "B",
    "choices": {
        "label": ["A", "B", "C", "D"],
        "text": ["Shady areas increased.", "Food sources increased.", "Oxygen levels increased.", "Available water increased."]
    },
    "id": "Mercury_SC_405487",
    "question": "One year, the oak trees in a park began producing more acorns than usual. The next year, the population of chipmunks in the park also increased. Which best explains why there were more chipmunks the next year?"
}
```

### Data Fields

The data fields are the same among all splits.

#### ARC-Challenge
- `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.

#### ARC-Easy
- `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.

### Data Splits

|    name     |train|validation|test|
|-------------|----:|---------:|---:|
|ARC-Challenge| 1119|       299|1172|
|ARC-Easy     | 2251|       570|2376|

## 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

```
@article{allenai:arc,
      author    = {Peter Clark  and Isaac Cowhey and Oren Etzioni and Tushar Khot and
                    Ashish Sabharwal and Carissa Schoenick and Oyvind Tafjord},
      title     = {Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge},
      journal   = {arXiv:1803.05457v1},
      year      = {2018},
}

```


### Contributions

Thanks to [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf) for adding this dataset.
task_categories:question-answering task_ids:open-domain-qa task_ids:multiple-choice-qa annotations_creators:found language_creators:found multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:en license:cc-by-sa-4.0 arxiv:1803.05457 region:us
{"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["open-domain-qa", "multiple-choice-qa"], "pretty_name": "Ai2Arc", "language_bcp47": ["en-US"], "dataset_info": [{"config_name": "ARC-Challenge", "features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "choices", "sequence": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}]}, {"name": "answerKey", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 349760, "num_examples": 1119}, {"name": "test", "num_bytes": 375511, "num_examples": 1172}, {"name": "validation", "num_bytes": 96660, "num_examples": 299}], "download_size": 449460, "dataset_size": 821931}, {"config_name": "ARC-Easy", "features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "choices", "sequence": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}]}, {"name": "answerKey", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 619000, "num_examples": 2251}, {"name": "test", "num_bytes": 657514, "num_examples": 2376}, {"name": "validation", "num_bytes": 157394, "num_examples": 570}], "download_size": 762935, "dataset_size": 1433908}], "configs": [{"config_name": "ARC-Challenge", "data_files": [{"split": "train", "path": "ARC-Challenge/train-*"}, {"split": "test", "path": "ARC-Challenge/test-*"}, {"split": "validation", "path": "ARC-Challenge/validation-*"}]}, {"config_name": "ARC-Easy", "data_files": [{"split": "train", "path": "ARC-Easy/train-*"}, {"split": "test", "path": "ARC-Easy/test-*"}, {"split": "validation", "path": "ARC-Easy/validation-*"}]}]}
TAGS
#task_categories-question-answering #task_ids-open-domain-qa #task_ids-multiple-choice-qa #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-sa-4.0 #arxiv-1803.05457 #region-us 

Dataset Card for "ai2\_arc"
===========================


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: Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
* Point of Contact:
* Size of downloaded dataset files: 1361.68 MB
* Size of the generated dataset: 2.28 MB
* Total amount of disk used: 1363.96 MB


### Dataset Summary


A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in
advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains
only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also
including a corpus of over 14 million science sentences relevant to the task, and an implementation of three neural baseline models for this dataset. We pose ARC as a challenge to the community.


### Supported Tasks and Leaderboards


### Languages


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


### Data Instances


#### ARC-Challenge


* Size of downloaded dataset files: 680.84 MB
* Size of the generated dataset: 0.83 MB
* Total amount of disk used: 681.67 MB


An example of 'train' looks as follows.


#### ARC-Easy


* Size of downloaded dataset files: 680.84 MB
* Size of the generated dataset: 1.45 MB
* Total amount of disk used: 682.29 MB


An example of 'train' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### ARC-Challenge


* '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.


#### ARC-Easy


* '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.


### 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 @lewtun, @patrickvonplaten, @thomwolf for adding this dataset.



### Dataset Summary


A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in
advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains
only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also
including a corpus of over 14 million science sentences relevant to the task, and an implementation of three neural baseline models for this dataset. We pose ARC as a challenge to the community. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### ARC-Challenge


* Size of downloaded dataset files: 680.84 MB
* Size of the generated dataset: 0.83 MB
* Total amount of disk used: 681.67 MB


An example of 'train' looks as follows. #### ARC-Easy


* Size of downloaded dataset files: 680.84 MB
* Size of the generated dataset: 1.45 MB
* Total amount of disk used: 682.29 MB


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


The data fields are the same among all splits. #### ARC-Challenge


* '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. #### ARC-Easy


* '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. ### 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 @lewtun, @patrickvonplaten, @thomwolf for adding this dataset.
TAGS
#task_categories-question-answering #task_ids-open-domain-qa #task_ids-multiple-choice-qa #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-sa-4.0 #arxiv-1803.05457 #region-us 
 ### Dataset Summary


A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in
advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains
only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also
including a corpus of over 14 million science sentences relevant to the task, and an implementation of three neural baseline models for this dataset. We pose ARC as a challenge to the community. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### ARC-Challenge


* Size of downloaded dataset files: 680.84 MB
* Size of the generated dataset: 0.83 MB
* Total amount of disk used: 681.67 MB


An example of 'train' looks as follows. #### ARC-Easy


* Size of downloaded dataset files: 680.84 MB
* Size of the generated dataset: 1.45 MB
* Total amount of disk used: 682.29 MB


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


The data fields are the same among all splits. #### ARC-Challenge


* '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. #### ARC-Easy


* '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. ### 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 @lewtun, @patrickvonplaten, @thomwolf for adding this dataset.
passage: TAGS
#task_categories-question-answering #task_ids-open-domain-qa #task_ids-multiple-choice-qa #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-sa-4.0 #arxiv-1803.05457 #region-us 
### Dataset Summary


A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in
advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains
only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also
including a corpus of over 14 million science sentences relevant to the task, and an implementation of three neural baseline models for this dataset. We pose ARC as a challenge to the community.### Supported Tasks and Leaderboards### Languages


Dataset Structure
-----------------### Data Instances#### ARC-Challenge


* Size of downloaded dataset files: 680.84 MB
* Size of the generated dataset: 0.83 MB
* Total amount of disk used: 681.67 MB


An example of 'train' looks as follows.#### ARC-Easy


* Size of downloaded dataset files: 680.84 MB
* Size of the generated dataset: 1.45 MB
* Total amount of disk used: 682.29 MB


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


The data fields are the same among all splits.#### ARC-Challenge


* '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.