twitter-genderbias / README.md
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metadata
language:
  - es
license:
  - unknown
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - sentiment-classification
  - sentiment-analysis
dataset_info:
  features:
    - name: text
      dtype: string
    - name: inputs
      struct:
        - name: text
          dtype: string
    - name: prediction
      list:
        - name: label
          dtype: string
        - name: score
          dtype: float64
    - name: prediction_agent
      dtype: string
    - name: annotation
      dtype: 'null'
    - name: annotation_agent
      dtype: 'null'
    - name: multi_label
      dtype: bool
    - name: explanation
      dtype: 'null'
    - name: id
      dtype: string
    - name: metadata
      dtype: 'null'
    - name: status
      dtype: string
    - name: event_timestamp
      dtype: timestamp[us]
    - name: metrics
      struct:
        - name: text_length
          dtype: int64
  splits:
    - name: train
      num_bytes: 573508
      num_examples: 1914
  download_size: 373847
  dataset_size: 573508

Dataset Card for "twitter-genderbias"

Dataset Description

Dataset Summary

This dataset contains more than 1900 labeled Spanish tweets with the category biased or non-biased. This was made for a Hackathon to reduce gender bias on the internet.

  • contents: Text
  • label:
    • biased
    • non-biased

Languages

spanish

Citation Information

https://www.kaggle.com/datasets/kevinmorgado/gender-bias-spanish

Contributions

Thanks to @davidberenstein1957 for adding this dataset.