BigLAM: BigScience Libraries, Archives and Museums's profile picture

BigLAM: BigScience Libraries, Archives and Museums

non-profit

AI & ML interests

🤗 Hugging Face x 🌸 BigScience initiative to create open source community resources for LAMs.

BigScience 🌸 is an open scientific collaboration of nearly 600 researchers from 50 countries and 250 institutions who collaborate on various projects within the natural language processing (NLP) space to broaden the accessibility of language datasets while working on challenging scientific questions around training language models.

BigLAM started as a datasets hackathon focused on making data from Libraries, Archives, and Museums (LAMS) with potential machine-learning applications accessible via the Hugging Face Hub. We are continuing to work on making more datasets available via the Hugging Face hub to help make these datasets more discoverable, open them up to new audiences, and help ensure that machine-learning datasets more closely reflect the richness of human culture.

Dataset Overview

An overview of datasets currently made available via BigLam organised by task type.

image-classification
text-classification
image-to-text
text-generation
object-detection
fill-mask
token-classification