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"

Dataset Description
- Dataset Summary
Dataset Structure
- Data Fields
- Data Splits

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: An int32 claim identifier.
claim: A string.
abstract_id: An int32 abstract identifier.
title: A string.
abstract: A list of strings, one for each sentence in the abstract.
verdict: The fact-checking verdict, a string.
evidence: A list of sentences from the abstract which provide evidence for the verdict.

Data Splits

	train	validation
claims	919	340

Datasets:

allenai
/

scifact_entailment