David Adelani

license

cc-by-sa-4.0(Hugging Face license tag

access

public

dataset_card

present(Describes composition and splits, but several sections are unfilled template text that wrongly calls the source news.)

The data downloads from Hugging Face without a gate under a share-alike license tag. The card's own wording of the license is loose and the GitHub license covers the code, so the tag is the clearest statement.

• https://huggingface.co/api/datasets/Davlan/sib200 recorded 2026-09-24

  gated: false; license tag cc-by-sa-4.0.

• https://huggingface.co/datasets/Davlan/sib200/raw/main/README.md recorded 2026-09-24

  "The licensing status of the data is CC 4.0 Commercial"; "Annotators were recruited from Masakhane".

• https://raw.githubusercontent.com/dadelani/sib-200/main/LICENSE recorded 2026-09-24

  Apache License, Version 2.0.

Hugging Face downloads over the trailing month for the SIB-200 repository. Rebuilding it from FLORES with the GitHub script is not counted.

• https://huggingface.co/api/datasets/Davlan/sib200 recorded 2026-09-24

  22383 downloads in the trailing 30 days for Davlan/sib200

SIB-200 is documented in its paper and covers more languages than Belebele. It is a single topic-labeling task over FLORES sentences, and no named model or leaderboard beyond its own baselines was found to use it.

• https://arxiv.org/abs/2309.07445 recorded 2026-09-24

  "We annotated the English portion of the dataset and extended the ... annotation to the remaining 203 languages covered in the corpus".

• https://huggingface.co/datasets/Davlan/sib200/raw/main/README.md recorded 2026-09-24

  "SIB-200 is the largest publicly available topic classification dataset based on Flores-200 covering 205 languages and dialects"; English split 701/99/204.