language:en license:cc-by-nc-2.0 region:us
SciFact

A dataset of expert-written scientific claims paired with evidence-containing
abstracts and annotated with labels and rationales.
@InProceedings{Wadden2020FactOF,
  author =      {David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang,
                 Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi},
  title =       {Fact or Fiction: Verifying Scientific Claims},
  booktitle =   {EMNLP},
  year =        2020,
}
---
language:
- en
license:
- cc-by-nc-2.0
---
# 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",
}
```
