Datasets:
David Wadden
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Update the README.
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README.md
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---
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annotations_creators:
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- expert-generated
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language:
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- en
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language_creators:
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- found
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license:
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- cc-by-nc-2.0
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multilinguality:
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- monolingual
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pretty_name: SciFact
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size_categories:
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- 1K<n<10K
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source_datasets:
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- original
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task_categories:
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- text-classification
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task_ids:
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- fact-checking
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paperswithcode_id: scifact
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dataset_info:
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features:
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- name: claim_id
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dtype: int32
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- name: claim
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dtype: string
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- name: abstract_id
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dtype: int32
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- name: title
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dtype: string
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- name: abstract
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sequence: string
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- name: verdict
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dtype: string
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- name: evidence
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sequence: int32
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splits:
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- name: train
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num_bytes: 1649655
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num_examples: 919
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- name: validation
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num_bytes: 605262
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num_examples: 340
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download_size: 3115079
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dataset_size: 2254917
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---
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# Dataset Card for "scifact_entailment"
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Dataset Structure](#dataset-structure)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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## Dataset Description
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- **Homepage:** [https://scifact.apps.allenai.org/](https://scifact.apps.allenai.org/)
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- **Repository:** <https://github.com/allenai/scifact>
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- **Paper:** [Fact or Fiction: Verifying Scientific Claims](https://aclanthology.org/2020.emnlp-main.609/)
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- **Point of Contact:** [David Wadden](mailto:davidw@allenai.org)
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### Dataset Summary
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SciFact, a dataset of 1.4K expert-written scientific claims paired with evidence-containing abstracts, and annotated with labels and rationales.
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For more information on the dataset, see [allenai/scifact](https://huggingface.co/datasets/allenai/scifact).
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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).
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## Dataset Structure
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### Data fields
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- `claim_id`: An `int32` claim identifier.
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- `claim`: A `string`.
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- `abstract_id`: An `int32` abstract identifier.
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- `title`: A `string`.
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- `abstract`: A list of `strings`, one for each sentence in the abstract.
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- `verdict`: The fact-checking verdict, a `string`.
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- `evidence`: A list of sentences from the abstract which provide evidence for the verdict.
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### Data Splits
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| |train|validation|
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|------|----:|---------:|
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|claims| 919 | 340|
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