{"url":"/dataset/c-gqa","name":"C-GQA","full_name":"Compositional GQA","description_markdown":"We propose a split built on top of Stanford GQA dataset originally proposed for VQA and name it Compositional GQA (C-GQA) dataset (see supplementary for the details). CGQA contains over 9.5k compositional labels making it the most extensive dataset for CZSL. With cleaner labels and a larger label space, our hope is that this dataset will inspire further research on the topic.","description_withheld":null,"homepage":"https://s3.mlcloud.uni-tuebingen.de/czsl/cgqa-updated.zip","introduced_date":"2021-02-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-graph-embeddings-for-compositional","title":"Learning Graph Embeddings for Compositional Zero-shot Learning","first_author":"Muhammad Ferjad Naeem","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Compositional Zero-Shot Learning","url":"/task/compositional-zero-shot-learning","datasets_with_task":"/datasets/task/compositional-zero-shot-learning"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["C-GQA"],"data_loaders":[],"num_papers_in_archive":42,"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."}