README.md

metadata

annotations_creators: []
language:
  - pt
language_creators: []
license: []
multilinguality:
  - monolingual
pretty_name: >-
  The LeNER-Br language modeling dataset is a collection of legal texts in
  Portuguese from the LeNER-Br dataset
  (https://cic.unb.br/~teodecampos/LeNER-Br/).


  The legal texts were obtained from the original token classification Hugging
  Face LeNER-Br dataset (https://huggingface.co./datasets/lener_br) and processed
  to create a DatasetDict with train and validation dataset (20%).


  The LeNER-Br language modeling dataset allows the finetuning of language
  models as BERTimbau base and large.
size_categories:
  - 10K<n<100K
source_datasets: []
tags: []
task_categories:
  - fill-mask
  - text-generation
task_ids:
  - masked-language-modeling
  - language-modeling

Dataset Card for lener_br_text_to_lm

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage:
• Repository:
• Paper:
• Leaderboard:
• Point of Contact:

Dataset Summary

The LeNER-Br language modeling dataset is a collection of legal texts in Portuguese from the LeNER-Br dataset (https://cic.unb.br/~teodecampos/LeNER-Br/).

The legal texts were obtained from the original token classification Hugging Face LeNER-Br dataset (https://huggingface.co./datasets/lener_br) and processed to create a DatasetDict with train and validation dataset (20%).

The LeNER-Br language modeling dataset allows the finetuning of language models as BERTimbau base and large.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

DatasetDict({
    train: Dataset({
        features: ['text'],
        num_rows: 8316
    })
    test: Dataset({
        features: ['text'],
        num_rows: 2079
    })
})

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

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

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

Thanks to @github-username for adding this dataset.