Languages: en
Multilinguality: monolingual
Licenses: unknown
Language Creators: found
Annotations Creators: no-annotation
Source Datasets: original

Dataset Card for Big Patent

Dataset Summary

BIGPATENT, consisting of 1.3 million records of U.S. patent documents along with human written abstractive summaries. Each US patent application is filed under a Cooperative Patent Classification (CPC) code. There are nine such classification categories:

  • A (Human Necessities)
  • B (Performing Operations; Transporting)
  • C (Chemistry; Metallurgy)
  • D (Textiles; Paper)
  • E (Fixed Constructions)
  • F (Mechanical Engineering; Lightning; Heating; Weapons; Blasting)
  • G (Physics)
  • H (Electricity)
  • Y (General tagging of new or cross-sectional technology)

Supported Tasks and Leaderboards

[More Information Needed]



Dataset Structure

Data Instances

Each instance contains a pair of description and abstract. description is extracted from the Description section of the Patent while abstract is extracted from the Abstract section.

Data Fields

  • description: detailed description of patent.
  • abstract: Patent abastract.

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

[More Information Needed]


Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

[More Information Needed]


Thanks to @mattbui for adding this dataset.

Models trained or fine-tuned on big_patent