PET
PET: A new Dataset for Process Extraction from Natural Language Text
TextsIntroduced 2022-03-09
The dataset contains 45 documents containing narrative description of business process and their annotations. Annotated with activities, gateways, actors, and flow information.
Each document is composed of three files:
Doc_name.txt (Process description in CONLL format)
Doc_name.process-elements.IOB2.txt (Process elements annotated with IOB2 Schema in CONLL format)
Doc_name.relations.tsv (Process relations between process elements. Each line is a triplette (source, relation tag, target). Source and target are in the form: n_sent_x words range.)
Related Benchmarks
PETA/Autonomous Vehicles/AccuracyPETA/Pedestrian Attribute Recognition/AccuracyPETRAW/10-shot image generation/Mean IoU (class)PETRAW/Kinematic Based Workflow Recognition/Average AD-AccuracyPETRAW/Segmentation Based Workflow Recognition/Average AD-AccuracyPETRAW/Semantic Segmentation/Mean IoU (class)PETRAW/Video & Kinematic Base Workflow Recognition/Average AD-AccuracyPETRAW/Video Based Workflow Recognition/Average AD-AccuracyPETRAW/Video, Kinematic & Segmentation Base Workflow Recognition/Average AD-AccuracyPets SAM/Image Classification/Accuracy