
# Dataset Card for "scifact"

## 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://scifact.apps.allenai.org/](https://scifact.apps.allenai.org/)
- **Repository:** https://github.com/allenai/scifact
- **Paper:** [Fact or Fiction: Verifying Scientific Claims](https://aclanthology.org/2020.emnlp-main.609/)
- **Point of Contact:** [David Wadden](mailto:davidw@allenai.org)
- **Size of downloaded dataset files:** 6.23 MB
- **Size of the generated dataset:** 8.26 MB
- **Total amount of disk used:** 14.49 MB

### Dataset Summary

SciFact, a dataset of 1.4K expert-written scientific claims paired with evidence-containing abstracts, and annotated with labels and rationales.

### 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

#### claims

- **Size of downloaded dataset files:** 3.12 MB
- **Size of the generated dataset:** 262.61 kB
- **Total amount of disk used:** 3.38 MB

An example of 'validation' looks as follows.
```
{
    "cited_doc_ids": [14717500],
    "claim": "1,000 genomes project enables mapping of genetic sequence variation consisting of rare variants with larger penetrance effects than common variants.",
    "evidence_doc_id": "14717500",
    "evidence_label": "SUPPORT",
    "evidence_sentences": [2, 5],
    "id": 3
}
```

#### corpus

- **Size of downloaded dataset files:** 3.12 MB
- **Size of the generated dataset:** 7.99 MB
- **Total amount of disk used:** 11.11 MB

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

{
    "abstract": "[\"Alterations of the architecture of cerebral white matter in the developing human brain can affect cortical development and res...",
    "doc_id": 4983,
    "structured": false,
    "title": "Microstructural development of human newborn cerebral white matter assessed in vivo by diffusion tensor magnetic resonance imaging."
}
```

### Data Fields

The data fields are the same among all splits.

#### claims
- `id`: a `int32` feature.
- `claim`: a `string` feature.
- `evidence_doc_id`: a `string` feature.
- `evidence_label`: a `string` feature.
- `evidence_sentences`: a `list` of `int32` features.
- `cited_doc_ids`: a `list` of `int32` features.

#### corpus
- `doc_id`: a `int32` feature.
- `title`: a `string` feature.
- `abstract`: a `list` of `string` features.
- `structured`: a `bool` feature.

### Data Splits

#### claims

|      |train|validation|test|
|------|----:|---------:|---:|
|claims| 1261|       450| 300|

#### corpus

|      |train|
|------|----:|
|corpus| 5183|

## 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

https://github.com/allenai/scifact/blob/master/LICENSE.md

The SciFact dataset is released under the [CC BY-NC 2.0](https://creativecommons.org/licenses/by-nc/2.0/). By using the SciFact data, you are agreeing to its usage terms.

### Citation Information

```
@inproceedings{wadden-etal-2020-fact,
    title = "Fact or Fiction: Verifying Scientific Claims",
    author = "Wadden, David  and
      Lin, Shanchuan  and
      Lo, Kyle  and
      Wang, Lucy Lu  and
      van Zuylen, Madeleine  and
      Cohan, Arman  and
      Hajishirzi, Hannaneh",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.emnlp-main.609",
    doi = "10.18653/v1/2020.emnlp-main.609",
    pages = "7534--7550",
}
```

### Contributions

Thanks to [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq), [@dwadden](https://github.com/dwadden), [@patrickvonplaten](https://github.com/patrickvonplaten), [@mariamabarham](https://github.com/mariamabarham), [@lewtun](https://github.com/lewtun) for adding this dataset.
task_categories:text-classification task_ids:fact-checking annotations_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:en license:cc-by-nc-2.0 region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-nc-2.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["fact-checking"], "paperswithcode_id": "scifact", "pretty_name": "SciFact", "dataset_info": [{"config_name": "corpus", "features": [{"name": "doc_id", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "abstract", "sequence": "string"}, {"name": "structured", "dtype": "bool"}], "splits": [{"name": "train", "num_bytes": 7993572, "num_examples": 5183}], "download_size": 3115079, "dataset_size": 7993572}, {"config_name": "claims", "features": [{"name": "id", "dtype": "int32"}, {"name": "claim", "dtype": "string"}, {"name": "evidence_doc_id", "dtype": "string"}, {"name": "evidence_label", "dtype": "string"}, {"name": "evidence_sentences", "sequence": "int32"}, {"name": "cited_doc_ids", "sequence": "int32"}], "splits": [{"name": "train", "num_bytes": 168627, "num_examples": 1261}, {"name": "test", "num_bytes": 33625, "num_examples": 300}, {"name": "validation", "num_bytes": 60360, "num_examples": 450}], "download_size": 3115079, "dataset_size": 262612}]}
TAGS
#task_categories-text-classification #task_ids-fact-checking #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-nc-2.0 #region-us 

Dataset Card for "scifact"
==========================


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: Fact or Fiction: Verifying Scientific Claims
* Point of Contact: David Wadden
* Size of downloaded dataset files: 6.23 MB
* Size of the generated dataset: 8.26 MB
* Total amount of disk used: 14.49 MB


### Dataset Summary


SciFact, a dataset of 1.4K expert-written scientific claims paired with evidence-containing abstracts, and annotated with labels and rationales.


### Supported Tasks and Leaderboards


### Languages


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


### Data Instances


#### claims


* Size of downloaded dataset files: 3.12 MB
* Size of the generated dataset: 262.61 kB
* Total amount of disk used: 3.38 MB


An example of 'validation' looks as follows.


#### corpus


* Size of downloaded dataset files: 3.12 MB
* Size of the generated dataset: 7.99 MB
* Total amount of disk used: 11.11 MB


An example of 'train' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### claims


* 'id': a 'int32' feature.
* 'claim': a 'string' feature.
* 'evidence\_doc\_id': a 'string' feature.
* 'evidence\_label': a 'string' feature.
* 'evidence\_sentences': a 'list' of 'int32' features.
* 'cited\_doc\_ids': a 'list' of 'int32' features.


#### corpus


* 'doc\_id': a 'int32' feature.
* 'title': a 'string' feature.
* 'abstract': a 'list' of 'string' features.
* 'structured': a 'bool' feature.


### Data Splits


#### claims



#### corpus



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


URL


The SciFact dataset is released under the CC BY-NC 2.0. By using the SciFact data, you are agreeing to its usage terms.


### Contributions


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



### Dataset Summary


SciFact, a dataset of 1.4K expert-written scientific claims paired with evidence-containing abstracts, and annotated with labels and rationales. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### claims


* Size of downloaded dataset files: 3.12 MB
* Size of the generated dataset: 262.61 kB
* Total amount of disk used: 3.38 MB


An example of 'validation' looks as follows. #### corpus


* Size of downloaded dataset files: 3.12 MB
* Size of the generated dataset: 7.99 MB
* Total amount of disk used: 11.11 MB


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


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


* 'id': a 'int32' feature.
* 'claim': a 'string' feature.
* 'evidence\_doc\_id': a 'string' feature.
* 'evidence\_label': a 'string' feature.
* 'evidence\_sentences': a 'list' of 'int32' features.
* 'cited\_doc\_ids': a 'list' of 'int32' features. #### corpus


* 'doc\_id': a 'int32' feature.
* 'title': a 'string' feature.
* 'abstract': a 'list' of 'string' features.
* 'structured': a 'bool' feature. ### Data Splits #### claims #### corpus



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


URL


The SciFact dataset is released under the CC BY-NC 2.0. By using the SciFact data, you are agreeing to its usage terms. ### Contributions


Thanks to @thomwolf, @lhoestq, @dwadden, @patrickvonplaten, @mariamabarham, @lewtun for adding this dataset.
TAGS
#task_categories-text-classification #task_ids-fact-checking #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-nc-2.0 #region-us 
 ### Dataset Summary


SciFact, a dataset of 1.4K expert-written scientific claims paired with evidence-containing abstracts, and annotated with labels and rationales. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### claims


* Size of downloaded dataset files: 3.12 MB
* Size of the generated dataset: 262.61 kB
* Total amount of disk used: 3.38 MB


An example of 'validation' looks as follows. #### corpus


* Size of downloaded dataset files: 3.12 MB
* Size of the generated dataset: 7.99 MB
* Total amount of disk used: 11.11 MB


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


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


* 'id': a 'int32' feature.
* 'claim': a 'string' feature.
* 'evidence\_doc\_id': a 'string' feature.
* 'evidence\_label': a 'string' feature.
* 'evidence\_sentences': a 'list' of 'int32' features.
* 'cited\_doc\_ids': a 'list' of 'int32' features. #### corpus


* 'doc\_id': a 'int32' feature.
* 'title': a 'string' feature.
* 'abstract': a 'list' of 'string' features.
* 'structured': a 'bool' feature. ### Data Splits #### claims #### corpus



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


URL


The SciFact dataset is released under the CC BY-NC 2.0. By using the SciFact data, you are agreeing to its usage terms. ### Contributions


Thanks to @thomwolf, @lhoestq, @dwadden, @patrickvonplaten, @mariamabarham, @lewtun for adding this dataset.
passage: TAGS
#task_categories-text-classification #task_ids-fact-checking #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-nc-2.0 #region-us 
### Dataset Summary


SciFact, a dataset of 1.4K expert-written scientific claims paired with evidence-containing abstracts, and annotated with labels and rationales.### Supported Tasks and Leaderboards### Languages


Dataset Structure
-----------------### Data Instances#### claims


* Size of downloaded dataset files: 3.12 MB
* Size of the generated dataset: 262.61 kB
* Total amount of disk used: 3.38 MB


An example of 'validation' looks as follows.#### corpus


* Size of downloaded dataset files: 3.12 MB
* Size of the generated dataset: 7.99 MB
* Total amount of disk used: 11.11 MB


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


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


* 'id': a 'int32' feature.
* 'claim': a 'string' feature.
* 'evidence\_doc\_id': a 'string' feature.
* 'evidence\_label': a 'string' feature.
* 'evidence\_sentences': a 'list' of 'int32' features.
* 'cited\_doc\_ids': a 'list' of 'int32' features.#### corpus


* 'doc\_id': a 'int32' feature.
* 'title': a 'string' feature.
* 'abstract': a 'list' of 'string' features.
* 'structured': a 'bool' feature.### Data Splits#### claims#### corpus



Dataset Creation
----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process