askD / README.md
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Fix `license` metadata
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metadata
annotations_creators:
  - no-annotation
language_creators:
  - found
  - machine-generated
language:
  - en
  - pt
license:
  - lgpl-3.0
multilinguality:
  - multilingual
  - translation
pretty_name: AskDocs
size_categories:
  - 100K<n<1M
source_datasets:
  - extended|eli5
task_categories:
  - abstractive-qa
  - closed-domain-abstrative-qa
task_ids:
  - text2text-generation

Dataset Card for askD

Table of Contents

Dataset Description

Dataset Summary

ELI5 dataset adapted on Medical Questions (AskDocs) subreddit. We additionally translated to Portuguese and used external data from here.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

The language data in AskD is English (BCP-47 en) and Brazilian Portuguese (BCP-47 pt-BR)

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

Train Valid Test External
en 24256 5198 5198 166804
pt 24256 5198 5198 166804

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

The dataset questions and answers span a period from January 2013 to December 2019.

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

@misc{Gomes20202,
  author = {GOMES, J. R. S.},
  title = {PLUE: Portuguese Language Understanding Evaluation},
  year = {2020},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/ju-resplande/askD}},
  commit = {42060c4402c460e174cbb75a868b429c554ba2b7}
}

Contributions

Thanks to @ju-resplande for adding this dataset.