Dataset · Hugging Face

allenai/prescience

Name: prescience
Creator: allenai
License: odc-by
Keywords: task_categories:text-generation, task_categories:question-answering, language:en, license:odc-by, size_categories:100K<n<1M, format:parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2602.20459, region:us, scientific-papers, arxiv

PreScience: A Benchmark for Forecasting Scientific Contributions Dataset Summary Can AI systems trained on the scientific record up to a fixed point in time forecast the scientific advances that follow? Such a capability could help researchers identify collaborators and impactful research directions, and anticipate which problems and methods will become central next. We introduce PreScience, a scientific forecasting benchmark that decomposes the research process… See the full description on the dataset page: https://huggingface.co/datasets/allenai/prescience.

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Author / organization	allenai
License (as declared)	odc-by
Downloads	230 (as reported by Hugging Face)
Likes	22
Created	9 February 2026
Last updated at source	25 February 2026

scientific-papersarxivcitation-predictionauthor-predictioncollaboration-predictionresearch-forecasting

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16 Oct 2026 Description: PreScience: A Benchmark for Forecasting Scientific Contributions Dataset Summary Can AI systems trained on the scientific record up to a fixed point in time forecast the scientific advances that follow? Such a capability could help research → PreScience: A Benchmark for Forecasting Scientific Contributions Dataset Summary Can AI systems trained on the scientific record up to a fixed point in time forecast the scientific advances that follow? Such a capability could help research

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