{"url":"/dataset/ig-3-5b-17k","name":"IG-3.5B-17k","full_name":"IG-3.5B-17k","description_markdown":"**IG-3.5B-17k** is an internal Facebook AI Research dataset for training image classification models. It consists of hashtags for up to 3.5 billion public Instagram images.","description_withheld":null,"homepage":"","introduced_date":"2018-05-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/exploring-the-limits-of-weakly-supervised","title":"Exploring the Limits of Weakly Supervised Pretraining","first_author":"Dhruv Mahajan","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[],"variants":["IG-3.5B-17k"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}