README.md

metadata

language:
  - en
pretty_name: SciFact Chat-Format
license: cc-by-nc-2.0
task_categories:
  - text-classification
task_ids:
  - fact-checking
source_datasets:
  - allenai/scifact
tags:
  - text
  - science
  - claim-verification
  - chat-format
  - instruction-tuning
  - datasets
  - allenai/scifact

SciFact (Chat-Format Preparation)

This dataset is a chat-format preparation of SciFact for supervised fine-tuning (SFT).

Format

This format is commonly referred to as:

• chat-format SFT data
• instruction-tuning conversations
• OpenAI-style messages format

Included files

• train.jsonl
• validation.jsonl
• stats.json
• prepare_scifact_unsloth.py

Source

• Base dataset: allenai/scifact

Original Dataset Highlights

• Original dataset: allenai/scifact
• Focus: scientific claim verification with rationales.
• Labels: SUPPORT, CONTRADICT, and NOT ENOUGH INFO style supervision.
• Reported scale on source card: ~1.4K claims with evidence-containing abstracts.
• Paper: Fact or Fiction: Verifying Scientific Claims

Preparation summary

• Claim verification labels:
  • SUPPORTS
  • CONTRADICTS
  • NOT ENOUGH INFORMATION
• Abstract sentences are indexed ([0], [1], ...).
• One row is emitted per claim-evidence set.
• NEI rows are created when no support/contradict evidence is present.

Assistant response format:

• Label: ...
• Rationale sentence ids: [...]
• Explanation: ...

Schema

Each JSONL row contains:

• messages
  • user: instruction + claim + title + indexed abstract
  • assistant: structured label/rationale/explanation
• meta: claim/doc ids, label, rationale sentence ids, split, variant

Reproduction

python prepare_scifact_unsloth.py