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
- Homepage: Kaggle Challenge
- Repository: https://www.kaggle.com/datasets/kevinmorgado/gender-bias-spanish
- Paper: N.A.
- Leaderboard: N.A.
- Point of Contact: N.A.
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.