README.md

metadata

dataset_info:
  features:
    - name: question_title
      dtype: string
    - name: answer_text
      dtype: string
  splits:
    - name: full
      num_bytes: 556210684
      num_examples: 1232296
    - name: semhashed_0.7
      num_bytes: 26391945
      num_examples: 71373
    - name: semhashed_0.8
      num_bytes: 65733853
      num_examples: 181242
    - name: semhashed_0.9
      num_bytes: 214865080
      num_examples: 542393
  download_size: 229389702
  dataset_size: 863201562
configs:
  - config_name: default
    data_files:
      - split: full
        path: data/full-*
      - split: semhashed_0.7
        path: data/semhashed_0.7-*
      - split: semhashed_0.8
        path: data/semhashed_0.8-*
      - split: semhashed_0.9
        path: data/semhashed_0.9-*
license: cc0-1.0
task_categories:
  - question-answering
language:
  - pt

Dataset Card for Dataset Name

Portuguese preprocessed split from MQA dataset containing only the question_title and answer_text columns of records in the ".pt" domain.

The dataset was derived by filtering the following dataset: ju-resplande/qa-pt

The rationale is to have a dataset that is closer aligned with the Portuguese (Portugal) language.

Semantic deduplication splits included for thresholds of 0.7, 0.8 and 0.9 with model sentence-transformers/static-similarity-mrl-multilingual-v1

The same license as both upstream datasets is used: Creative Commons Zero v1.0 Universal.

Dataset Details

Dataset Description

• Curated by: @marquesafonso
• Language(s) (NLP): Portuguese (Portugal)
• License: Creative Commons Zero v1.0 Universal

Dataset Sources [optional]

• Repositories: MQA dataset; ju-resplande/qa-pt

Uses

Direct Use

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Out-of-Scope Use

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Dataset Structure

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Dataset Creation

Curation Rationale

The rationale is to have a dataset that is closer aligned with the Portuguese (Portugal) language.

Semantic deduplication splits included for thresholds of 0.7, 0.8 and 0.9 with model sentence-transformers/static-similarity-mrl-multilingual-v1

Source Data

Data Collection and Processing

Portuguese preprocessed split from MQA dataset containing only the question_title and answer_text columns of records in the ".pt" domain.

The dataset was derived by filtering the following dataset: ju-resplande/qa-pt

Who are the source data producers?

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Annotations [optional]

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Bias, Risks, and Limitations

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Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

Citation [optional]

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