# Dataset Card for "scifact"

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Additional Information](#additional-information)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)

## Dataset Description

- **Homepage:** [https://scifact.apps.allenai.org/](https://scifact.apps.allenai.org/)
- **Paper:** [Fact or Fiction: Verifying Scientific Claims](https://aclanthology.org/2020.emnlp-main.609/)

### Dataset Summary

SciFact.

This is a dataset of expert-written scientific claims paired with evidence-containing abstracts and annotated with labels and rationales.

## Dataset Structure

### Data Instances

#### claims

- **Size of downloaded dataset files:** 2.72 MB
- **Size of the generated dataset:** 0.25 MB
- **Total amount of disk used:** 2.97 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:** 2.72 MB
- **Size of the generated dataset:** 7.63 MB
- **Total amount of disk used:** 10.35 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|

## Additional Information

### 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",
}
```

language:en license:cc-by-nc-2.0 region:us
{"language": ["en"], "license": ["cc-by-nc-2.0"]}
TAGS
#language-English #license-cc-by-nc-2.0 #region-us 

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


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


* Dataset Description
	+ Dataset Summary
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Additional Information
	+ Licensing Information
	+ Citation Information


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


* Homepage: URL
* Paper: Fact or Fiction: Verifying Scientific Claims


### Dataset Summary


SciFact.


This is a dataset of expert-written scientific claims paired with evidence-containing abstracts and annotated with labels and rationales.


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


### Data Instances


#### claims


* Size of downloaded dataset files: 2.72 MB
* Size of the generated dataset: 0.25 MB
* Total amount of disk used: 2.97 MB


An example of 'validation' looks as follows.


#### corpus


* Size of downloaded dataset files: 2.72 MB
* Size of the generated dataset: 7.63 MB
* Total amount of disk used: 10.35 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



Additional Information
----------------------


### 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.



### Dataset Summary


SciFact.


This is a dataset of expert-written scientific claims paired with evidence-containing abstracts and annotated with labels and rationales.


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


* Size of downloaded dataset files: 2.72 MB
* Size of the generated dataset: 0.25 MB
* Total amount of disk used: 2.97 MB


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


* Size of downloaded dataset files: 2.72 MB
* Size of the generated dataset: 7.63 MB
* Total amount of disk used: 10.35 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



Additional Information
---------------------- ### 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.
TAGS
#language-English #license-cc-by-nc-2.0 #region-us 
 ### Dataset Summary


SciFact.


This is a dataset of expert-written scientific claims paired with evidence-containing abstracts and annotated with labels and rationales.


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


* Size of downloaded dataset files: 2.72 MB
* Size of the generated dataset: 0.25 MB
* Total amount of disk used: 2.97 MB


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


* Size of downloaded dataset files: 2.72 MB
* Size of the generated dataset: 7.63 MB
* Total amount of disk used: 10.35 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



Additional Information
---------------------- ### 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.
passage: TAGS
#language-English #license-cc-by-nc-2.0 #region-us 
### Dataset Summary


SciFact.


This is a dataset of expert-written scientific claims paired with evidence-containing abstracts and annotated with labels and rationales.


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


* Size of downloaded dataset files: 2.72 MB
* Size of the generated dataset: 0.25 MB
* Total amount of disk used: 2.97 MB


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


* Size of downloaded dataset files: 2.72 MB
* Size of the generated dataset: 7.63 MB
* Total amount of disk used: 10.35 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



Additional Information
----------------------### 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.