{"url":"/dataset/mtl-aqa","name":"MTL-AQA","full_name":null,"description_markdown":"A new multitask action quality assessment (AQA) dataset, the largest to date, comprising of more than 1600 diving samples; contains detailed annotations for  fine-grained action recognition, commentary generation, and estimating the AQA score. Videos from multiple angles provided wherever available.\r\n\r\nSource: [What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment](/paper/what-and-how-well-you-performed-a-multitask)","description_withheld":null,"homepage":"https://github.com/ParitoshParmar/MTL-AQA","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/what-and-how-well-you-performed-a-multitask","title":"What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment","first_author":"Paritosh Parmar","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"},{"name":"Action Recognition In Videos","url":"/task/action-recognition-in-videos-2","datasets_with_task":"/datasets/task/action-recognition-in-videos-2"},{"name":"Video Understanding","url":"/task/video-understanding","datasets_with_task":"/datasets/task/video-understanding"},{"name":"Video Captioning","url":"/task/video-captioning","datasets_with_task":"/datasets/task/video-captioning"},{"name":"Multi-Task Learning","url":"/task/multi-task-learning","datasets_with_task":"/datasets/task/multi-task-learning"},{"name":"Action Quality Assessment","url":"/task/action-quality-assessment","datasets_with_task":"/datasets/task/action-quality-assessment"},{"name":"Dense Video Captioning","url":"/task/dense-video-captioning","datasets_with_task":"/datasets/task/dense-video-captioning"},{"name":"Fine-Grained Visual Recognition","url":"/task/fine-grained-visual-recognition","datasets_with_task":"/datasets/task/fine-grained-visual-recognition"},{"name":"Action Understanding","url":"/task/action-understanding","datasets_with_task":"/datasets/task/action-understanding"},{"name":"Fine-Grained Visual Categorization","url":"/task/fine-grained-visual-categorization","datasets_with_task":"/datasets/task/fine-grained-visual-categorization"},{"name":"Multiview Learning","url":"/task/multiview-learning","datasets_with_task":"/datasets/task/multiview-learning"},{"name":"Fine-grained Action Recognition","url":"/task/fine-grained-action-recognition","datasets_with_task":"/datasets/task/fine-grained-action-recognition"}],"languages":[],"variants":["MTL-AQA"],"data_loaders":[{"repo":"https://github.com/ParitoshParmar/MTL-AQA","url":"https://github.com/ParitoshParmar/MTL-AQA","frameworks":[]},{"repo":"https://github.com/laurenok24/nsaqa","url":"https://github.com/laurenok24/nsaqa","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":33,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/action-quality-assessment-on-mtl-aqa","task":"Action Quality Assessment","dataset_variant":"MTL-AQA","rows":21,"metrics":["Spearman Correlation","RL2(*100)"],"first_row_in_archive_order":{"model":"RICA^2 (Deterministic)","paper":"/paper/rica-2-rubric-informed-calibrated-assessment","metrics":{"RL2(*100)":"0.228","Spearman Correlation":"96.20"},"code_links":[{"title":"abrarmajeedi/rica2_aqa","url":"https://github.com/abrarmajeedi/rica2_aqa"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/action-recognition-on-mtl-aqa","task":"Action Recognition","dataset_variant":"MTL-AQA","rows":1,"metrics":["Position Accuracy","Armstand Accuracy","Rotation Type Accuracy","No. of Somersaults Accuracy","No. of Twists Accuracy"],"first_row_in_archive_order":{"model":"C3D-AVG","paper":"/paper/what-and-how-well-you-performed-a-multitask","metrics":{"Armstand Accuracy":"99.72 %","No. of Somersaults Accuracy":"96.88 %","No. of Twists Accuracy":"93.20 %","Position Accuracy":"96.32 %","Rotation Type Accuracy":"97.45 %"},"code_links":[{"title":"ParitoshParmar/MTL-AQA","url":"https://github.com/ParitoshParmar/MTL-AQA"},{"title":"nzl-thu/musdl","url":"https://github.com/nzl-thu/musdl"},{"title":"luciferbobo/dae-aqa","url":"https://github.com/luciferbobo/dae-aqa"},{"title":"InfoX-SEU/DAE-AQA","url":"https://github.com/InfoX-SEU/DAE-AQA"},{"title":"InfoX-SEU/DAE_AQA","url":"https://github.com/InfoX-SEU/DAE_AQA"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/rica-2-rubric-informed-calibrated-assessment","title":"RICA2: Rubric-Informed, Calibrated Assessment of Actions","date":"2024-08-04","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/fineparser-a-fine-grained-spatio-temporal","title":"FineParser: A Fine-grained Spatio-temporal Action Parser for Human-centric Action Quality Assessment","date":"2024-05-11","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":4,"samples_unverified":1,"pointer_only_for_licence":5,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/hierarchical-neurosymbolic-approach-for","title":"Hierarchical NeuroSymbolic Approach for Comprehensive and Explainable Action Quality Assessment","date":"2024-03-20","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/auto-encoding-score-distribution-regression","title":"Auto-Encoding Score Distribution Regression for Action Quality Assessment","date":"2021-11-22","rows_on_this_dataset":3,"code_links":3,"syntology":null},{"paper":"/paper/group-aware-contrastive-regression-for-action","title":"Group-aware Contrastive Regression for Action Quality Assessment","date":"2021-08-17","rows_on_this_dataset":4,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/improving-action-quality-assessment-using","title":"Improving Action Quality Assessment using Weighted Aggregation","date":"2021-02-21","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/uncertainty-aware-score-distribution-learning-1","title":"Uncertainty-aware Score Distribution Learning for Action Quality Assessment","date":"2020-06-13","rows_on_this_dataset":5,"code_links":1,"syntology":null},{"paper":"/paper/what-and-how-well-you-performed-a-multitask","title":"What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment","date":"2019-04-08","rows_on_this_dataset":5,"code_links":5,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":6,"samples_ran":5,"samples_unverified":1,"pointer_only_for_licence":6,"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."}