Datasets:
annotations_creators:
- expert-generated language_creators:
- expert-generated languages:
- en-US licenses:
- mit multilinguality:
- monolingual pretty_name: PET size_categories:
- 1K<n<10K source_datasets: [Friedrich et al. original dataset] task_categories:
- token-classification
- other task_ids:
- named-entity-recognition
Dataset Card for PET
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://pdi.fbk.eu/pet-dataset/
- Repository:
- Paper: https://arxiv.org/abs/2203.04860
- Leaderboard:
- Point of Contact: pbellan@fbk.eu
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
Named Entity Recognition, Relation Extraction
Languages
English
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
Testing Dataset only
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
English
Annotations
Annotation process
You can read about the annotation process in the original paper https://arxiv.org/abs/2203.04860
Who are the annotators?
Expert Annotators
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
Patrizio Bellan, Mauro Dragoni, Chiara Ghidini, Han van der Aa, Simone Ponzetto [More Information Needed]
Licensing Information
MIT
Citation Information
Bellan, Patrizio et al. “PET: A new Dataset for Process Extraction from Natural Language Text.” ArXiv abs/2203.04860 (2022)
Contributions
Thanks to Patrizio Bellan for adding this dataset.