Datasets › PET: A new Dataset for Process Extraction from Natural Language Text

PET: A new Dataset for Process Extraction from Natural Language Text

Introduced by Patrizio Bellan et al. in PET: An Annotated Dataset for Process Extraction from Natural Language Text9 Mar 2022 archive 2025-07-28

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.)

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • PET: A new Dataset for Process Extraction from Natural Language Text

1 variant name, as the archive lists them.

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