Northeastern University / Brown / Wellesley

data

downloadable(HF parquet, 47 subsets)

license

MIT(on HF dataset card)

datasheet

present(card documents prompts/doctests/tests/stop-tokens)

redistributable

yes(HF)

caveat

GitHub repo LICENSE is a non-OSI 'BSD-3-Clause + no-ML-training' modified license, conflicting with the MIT on the HF data artifact

The scored artifact (HF dataset) is MIT and openly downloadable with a datasheet, open class. But the source repo carries a modified BSD-3 with an explicit 'may not be used as training data for ML' clause (non-OSI), a conflict worth flagging; scored on the data artifact's MIT terms, capped at 4 for the licensing inconsistency.

• https://huggingface.co/datasets/nuprl/MultiPL-E recorded 2026-06-04

  MIT license, 47 subsets across 22-23 languages, downloadable parquet, documented schema

• https://github.com/nuprl/MultiPL-E/blob/main/LICENSE recorded 2026-06-04

  modified BSD-3-Clause with no-ML-training-data restriction (non-OSI)