Datasets › Spiced

Spiced

Introduced by Dustin Wright et al. in Modeling Information Change in Science Communication with Semantically Matched Paraphrases24 Oct 2022 archive 2025-07-28

Spiced is a paraphrase dataset of scientific findings annotated for degree of information change. Spiced contains 6,000 scientific finding pairs extracted from news stories, social media discussions, and full texts of original papers.

Source: Modeling Information Change in Science Communication with Semantically Matched Paraphrases

Image Source: https://arxiv.org/pdf/2210.13001v1.pdf

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 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

MIT license

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Spiced

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections