PET / README.md
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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

Dataset Description

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

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

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

[More Information Needed]

Citation Information

@article{Bellan2022PETAN, title={PET: A new Dataset for Process Extraction from Natural Language Text}, author={Patrizio Bellan and Han van der Aa and Mauro Dragoni and Chiara Ghidini and Simone Paolo Ponzetto}, journal={ArXiv}, year={2022}, volume={abs/2203.04860} }

Contributions

Thanks to Patrizio Bellan for adding this dataset.