{"url":"/dataset/celeba-dialog","name":"CelebA-Dialog","full_name":null,"description_markdown":"The CelebA-Dialog dataset has the following properties: 1) Facial images are annotated with rich fine-grained labels, which classify one attribute into multiple degrees according to its semantic meaning; 2) Accompanied with each image, there are captions describing the attributes and a user request sample.\r\n\r\nImage source: [https://arxiv.org/pdf/2109.04425v1.pdf](https://arxiv.org/pdf/2109.04425v1.pdf)","description_withheld":null,"homepage":"https://www.mmlab-ntu.com/project/talkedit/","introduced_date":"2021-09-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/talk-to-edit-fine-grained-facial-editing-via","title":"Talk-to-Edit: Fine-Grained Facial Editing via Dialog","first_author":"Yuming Jiang","url":null},"license":null,"modalities":[],"tasks":[{"name":"Fine-Grained Facial Editing","url":"/task/fine-grained-facial-editing","datasets_with_task":"/datasets/task/fine-grained-facial-editing"}],"languages":[],"variants":["CelebA-Dialog"],"data_loaders":[],"num_papers_in_archive":12,"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":"2026-09-25T09:33:49+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."}