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Action100M: A Large-scale Video Action Dataset research paper by Meta, 2026

Meta · Jan 15, 2026 · Retrieval and data · 12 citations · 33 upvotes · unverified

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What it shows

Action100M is a large-scale video action dataset constructed from internet instructional videos using automated pipelines with V-JEPA embeddings and GPT-based reasoning for structured annotations.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Delong Chen, Tejaswi Kasarla, Yejin Bang and 6 more
arXiv
2601.10592 · PDF
Venue
arXiv.org
Citations
12, 2 influential · Semantic Scholar
Upvotes
33 · Hugging Face
Code
github.com/facebookresearch/Action100M
Lab
Meta · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 2Sep 25, 2026
Citationsfirst count: 12Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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