Datasets › IMPACT

IMPACT

Introduced by Yew Ken Chia et al. in INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models7 Jun 2023 archive 2025-07-28

The IMPACT dataset contains 50 human created prompts for each category, 200 in total, to test LLMs general writing ability. Instructed LLMs demonstrate promising ability in writing-based tasks, such as composing letters or ethical debates. This dataset consists prompts across 4 diverse usage scenarios: - Informative Writing: User queries such as self-help advice or explanations for various concept - Professional Writing: Format involves suggestions presentations or emails in a business setting - Argumentative Writing: Debate positions on ethical and societal question - Creative Writing: Diverse writing formats such as stories, poems, and songs.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 47 papers for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

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Variants archive 2025-07-28

  • IMPACT

1 variant name, as the archive lists them.

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