SIL Global

license

mixed-per-subset(Each entry carries its own Creative Commons license: CC-BY, CC-BY-SA, and several NC and ND variants.)

access

auto(Automatic Hugging Face gate

dataset_card

present

Each story keeps the Creative Commons license its author chose, and most of those forbid commercial use or derivatives. The gate approves automatically but shares the user's contact details and adds a pledge against discriminatory use.

• https://huggingface.co/api/datasets/sil-ai/bloom-lm recorded 2026-09-24

  gated: "auto"; gate prompt: "available only for non-commercial use (except for portions of the dataset labeled with a cc-by-sa license)"; licenses cc-by-4.0 through cc-by-nc-nd-4.0.

• https://huggingface.co/api/datasets/sil-ai/bloom-speech recorded 2026-09-24

  gated: "auto"; licenses cc-by-nc-4.0, cc-by-sa-4.0, cc-by-nc-nd-4.0, cc-by-nc-sa-4.0.

• https://huggingface.co/datasets/sil-ai/bloom-lm recorded 2026-09-24

  "A 'license' field paired with each of the dataset entries/samples specifies the Creative Commons license"; "That your contact information (email address and username) can be shared with the model authors".

Hugging Face downloads over the trailing month summed across the four Bloom Library repositories. Reading the books on bloomlibrary.org is not counted.

• https://huggingface.co/api/datasets/sil-ai/bloom-captioning recorded 2026-09-24

  15 downloads in the trailing 30 days for sil-ai/bloom-captioning

• https://huggingface.co/api/datasets/sil-ai/bloom-lm recorded 2026-09-24

  49 downloads in the trailing 30 days for sil-ai/bloom-lm

• https://huggingface.co/api/datasets/sil-ai/bloom-speech recorded 2026-09-24

  34 downloads in the trailing 30 days for sil-ai/bloom-speech

• https://huggingface.co/api/datasets/sil-ai/bloom-vist recorded 2026-09-24

  18 downloads in the trailing 30 days for sil-ai/bloom-vist

The datasets gather community-written storybooks in hundreds of languages into text, captioning, storytelling and speech sets documented in an EMNLP paper, and their text went into the BLOOM model's training data as a small part of its corpus. With a couple of stories for most languages they are tiny beside English pretraining corpora of trillions of tokens, and a pooled corpus such as the one behind the Glot language model gathers far more text per language.

• https://arxiv.org/abs/2210.14712 recorded 2026-09-24

  "covers 363 languages across 32 language families" for language modeling, image captioning, visual storytelling, and speech.

• https://huggingface.co/datasets/sil-ai/bloom-lm recorded 2026-09-24

  "It includes data from 364 languages across 31 language families. There is a mean of 32 stories and median of 2 stories per language." "this data was used in the training of the BLOOM model".