Datasets:
metadata
annotations_creators:
- expert-generated
language:
- en
language_creators:
- found
license:
- cc-by-nc-2.0
multilinguality:
- monolingual
pretty_name: SciFact
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- fact-checking
paperswithcode_id: scifact
dataset_info:
features:
- name: claim_id
dtype: int32
- name: claim
dtype: string
- name: abstract_id
dtype: int32
- name: title
dtype: string
- name: abstract
sequence: string
- name: verdict
dtype: string
- name: evidence
sequence: int32
splits:
- name: train
num_bytes: 1649655
num_examples: 919
- name: validation
num_bytes: 605262
num_examples: 340
download_size: 3115079
dataset_size: 2254917
Dataset Card for "scifact_entailment"
Table of Contents
Dataset Description
- Homepage: https://scifact.apps.allenai.org/
- Repository: https://github.com/allenai/scifact
- Paper: Fact or Fiction: Verifying Scientific Claims
- Point of Contact: David Wadden
Dataset Summary
SciFact, a dataset of 1.4K expert-written scientific claims paired with evidence-containing abstracts, and annotated with labels and rationales.
For more information on the dataset, see allenai/scifact. This has the same data, but reformatted as an entailment task. A single instance includes a claim paired with a paper title and abstract, together with an entailment label and a list of evidence sentences (if any).
Dataset Structure
Data fields
claim_id
: Anint32
claim identifier.claim
: Astring
.abstract_id
: Anint32
abstract identifier.title
: Astring
.abstract
: A list ofstrings
, one for each sentence in the abstract.verdict
: The fact-checking verdict, astring
.evidence
: A list of sentences from the abstract which provide evidence for the verdict.
Data Splits
train | validation | |
---|---|---|
claims | 919 | 340 |