{"url":"/dataset/petraw","name":"PETRAW","full_name":"PEg TRAnsfer Workflow recognition by different modalities","description_markdown":"PETRAW data set was composed of 150 sequences of peg transfer training sessions. The objective of the peg transfer session is to transfer 6 blocks from the left to the right and back. Each block must be extracted from a peg with one hand, transferred to the other hand, and inserted in a peg at the other side of the board.\r\nAll cases were acquired by a non-medical expert on the LTSI Laboratory from the University of Rennes. The data set was divided into a training data set composed of 90 cases and a test data set composed of 60 cases. A case was composed of kinematic data, a video, semantic segmentation of each frame, and workflow annotation.","description_withheld":null,"homepage":"https://www.synapse.org/PETRAW","introduced_date":"2022-02-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/peg-transfer-workflow-recognition-challenge","title":"PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition?","first_author":"Arnaud Huaulmé","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Biomedical","url":"/datasets/modality/biomedical"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Activity Recognition","url":"/task/activity-recognition","datasets_with_task":"/datasets/task/activity-recognition"},{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"},{"name":"Action Triplet Recognition","url":"/task/action-triplet-recognition","datasets_with_task":"/datasets/task/action-triplet-recognition"},{"name":"Video Segmentation","url":"/task/video-segmentation","datasets_with_task":"/datasets/task/video-segmentation"},{"name":"Video Based Workflow Recognition","url":"/task/video-based-workflow-recognition","datasets_with_task":"/datasets/task/video-based-workflow-recognition"},{"name":"Kinematic Based Workflow Recognition","url":"/task/kinematic-based-workflow-recognition","datasets_with_task":"/datasets/task/kinematic-based-workflow-recognition"},{"name":"Segmentation Based Workflow Recognition","url":"/task/segmentation-based-workflow-recognition","datasets_with_task":"/datasets/task/segmentation-based-workflow-recognition"},{"name":"Video & Kinematic Base Workflow Recognition","url":"/task/video-kinematic-base-workflow-recognition","datasets_with_task":"/datasets/task/video-kinematic-base-workflow-recognition"},{"name":"Video, Kinematic & Segmentation Base Workflow Recognition","url":"/task/video-kinematic-segmentation-base-workflow","datasets_with_task":"/datasets/task/video-kinematic-segmentation-base-workflow"},{"name":"Surgical Gesture Recognition","url":"/task/surgical-gesture-recognition","datasets_with_task":"/datasets/task/surgical-gesture-recognition"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["PETRAW"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/kinematic-based-workflow-recognition-on","task":"Kinematic Based Workflow Recognition","dataset_variant":"PETRAW","rows":6,"metrics":["Average AD-Accuracy"],"first_row_in_archive_order":{"model":"MedAIR","paper":"/paper/peg-transfer-workflow-recognition-challenge","metrics":{"Average AD-Accuracy":"90.72"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/video-kinematic-base-workflow-recognition-on","task":"Video & Kinematic Base Workflow Recognition","dataset_variant":"PETRAW","rows":6,"metrics":["Average AD-Accuracy"],"first_row_in_archive_order":{"model":"NCC Next","paper":"/paper/peg-transfer-workflow-recognition-challenge","metrics":{"Average AD-Accuracy":"93.09"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/video-based-workflow-recognition-on-petraw","task":"Video Based Workflow Recognition","dataset_variant":"PETRAW","rows":5,"metrics":["Average AD-Accuracy"],"first_row_in_archive_order":{"model":"SK","paper":"/paper/peg-transfer-workflow-recognition-challenge","metrics":{"Average AD-Accuracy":"90.77"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/segmentation-based-workflow-recognition-on","task":"Segmentation Based Workflow Recognition","dataset_variant":"PETRAW","rows":4,"metrics":["Average AD-Accuracy"],"first_row_in_archive_order":{"model":"SK","paper":"/paper/peg-transfer-workflow-recognition-challenge","metrics":{"Average AD-Accuracy":"88.51"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/semantic-segmentation-on-petraw","task":"Semantic Segmentation","dataset_variant":"PETRAW","rows":4,"metrics":["Mean IoU (class)"],"first_row_in_archive_order":{"model":"NCC Next","paper":"/paper/peg-transfer-workflow-recognition-challenge","metrics":{"Mean IoU (class)":"96.9"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/video-kinematic-segmentation-base-workflow","task":"Video, Kinematic & Segmentation Base Workflow Recognition","dataset_variant":"PETRAW","rows":4,"metrics":["Average AD-Accuracy"],"first_row_in_archive_order":{"model":"NCC Next","paper":"/paper/peg-transfer-workflow-recognition-challenge","metrics":{"Average AD-Accuracy":"93.09"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/peg-transfer-workflow-recognition-challenge","title":"PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition?","date":"2022-02-11","rows_on_this_dataset":29,"code_links":0,"syntology":null}],"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."}