{"url":"/dataset/ig-1b-targeted","name":"IG-1B-Targeted","full_name":"IG-1B-Targeted","description_markdown":"**IG-1B-Targeted** is an internal Facebook AI Research dataset that consists of 940 million public images with 1.5K hashtags matching with 1000 ImageNet1K synsets.","description_withheld":null,"homepage":"","introduced_date":"2019-05-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/billion-scale-semi-supervised-learning-for","title":"Billion-scale semi-supervised learning for image classification","first_author":"I. Zeki Yalniz","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[],"variants":["IG-1B-Targeted"],"data_loaders":[],"num_papers_in_archive":5,"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."}