{"url":"/dataset/posescript","name":"PoseScript","full_name":null,"description_markdown":"**PoseScript** is a dataset that pairs a few thousand 3D human poses from AMASS with rich human-annotated descriptions of the body parts and their spatial relationships. This dataset is designed for the retrieval of relevant poses from large-scale datasets and synthetic pose generation, both based on a textual pose description.\r\n\r\nSource: [PoseScript: 3D Human Poses from Natural Language](https://arxiv.org/pdf/2210.11795v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2210.11795v1.pdf](https://arxiv.org/pdf/2210.11795v1.pdf)","description_withheld":null,"homepage":"https://europe.naverlabs.com/research/computer-vision/posescript/","introduced_date":"2022-10-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/posescript-3d-human-poses-from-natural","title":"PoseScript: Linking 3D Human Poses and Natural Language","first_author":"Ginger Delmas","url":null},"license":{"name":"CC BY-NC-SA 4.0","url":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode"},"modalities":[{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Visual Question Answering (VQA)","url":"/task/visual-question-answering","datasets_with_task":"/datasets/task/visual-question-answering"},{"name":"Image Captioning","url":"/task/image-captioning","datasets_with_task":"/datasets/task/image-captioning"},{"name":"Retrieval","url":"/task/retrieval","datasets_with_task":"/datasets/task/retrieval"},{"name":"Cross-Modal Retrieval","url":"/task/cross-modal-retrieval","datasets_with_task":"/datasets/task/cross-modal-retrieval"}],"languages":[],"variants":["PoseScript"],"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."}