{"url":"/dataset/mpii-human-pose-descriptions","name":"MPII Human Pose Descriptions","full_name":null,"description_markdown":"The MPII Human Pose Descriptions dataset extends the widely-used MPII Human Pose Dataset with rich textual annotations. These annotations are generated by various state-of-the-art language models (LLMs) and include detailed descriptions of the activities being performed, the count of people present, and their specific poses.\r\n\r\nThe dataset consists of the same image splits as provided in MMPose, with 14644 training samples and 2723 validation samples. Each image is accompanied by one or more pose descriptions generated by different LLMs. The descriptions are also accompanied by additional annotation information, including the activity type, people count, and pose keypoints, which are derived from the original MPII Human Pose Dataset annotations.\r\n\r\nBy adding textual annotations to the existing human pose dataset, this extended version supports novel research in multi-modal learning, where both visual and textual cues can be explored.","description_withheld":null,"homepage":"https://doi.org/10.57967/hf/1876","introduced_date":"2024-03-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/focusclip-multimodal-subject-level-guidance","title":"Human Pose Descriptions and Subject-Focused Attention for Improved Zero-Shot Transfer in Human-Centric Classification Tasks","first_author":"Muhammad Saif Ullah Khan","url":null},"license":{"name":"Simplified BSD License","url":"https://opensource.org/license/bsd-2-clause"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"2D Human Pose Estimation","url":"/task/2d-human-pose-estimation","datasets_with_task":"/datasets/task/2d-human-pose-estimation"},{"name":"Human Activity Recognition","url":"/task/human-activity-recognition","datasets_with_task":"/datasets/task/human-activity-recognition"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["MPII Human Pose Descriptions"],"data_loaders":[],"num_papers_in_archive":1,"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."}