{"url":"/dataset/coda","name":"CoDa","full_name":"The Color Dataset","description_markdown":"The Color Dataset (CoDa) is a probing dataset to evaluate the representation of visual properties in language models. CoDa consists of color distributions for 521 common objects, which are split into 3 groups: Single, Multi, and Any. \r\n\r\nThe default configuration of CoDa uses 10 CLIP-style templates (e.g. \"A photo of a [object]\"), and 10 cloze-style templates (e.g. \"Everyone knows most [object] are [color].\"","description_withheld":null,"homepage":"https://github.com/nala-cub/coda","introduced_date":"2021-10-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-world-of-an-octopus-how-reporting-bias","title":"The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color","first_author":"Cory Paik","url":null},"license":{"name":"Apache License 2.0","url":"https://github.com/nala-cub/coda/blob/main/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CoDa"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/corypaik/coda","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":6,"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."}