README.md

metadata

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: gender
      dtype: string
    - name: name_first_word
      dtype: string
  splits:
    - name: train
      num_bytes: 2804876
      num_examples: 166533
  download_size: 793609
  dataset_size: 2804876
license: unknown
task_categories:
  - text-classification
language:
  - ar
pretty_name: ArabGend
size_categories:
  - 100K<n<1M
tags:
  - Gender Identification

Dataset Card for "ArabGend: Gender Analysis and Inference on Arabic Twitter"

Paper:

Hamdy Mubarak, Shammur Absar Chowdhury, and Firoj Alam. 2022. ArabGend: Gender Analysis and Inference on Arabic Twitter. In Proceedings of the Eighth Workshop on Noisy User-generated Text (W-NUT 2022), pages 124–135, Gyeongju, Republic of Korea. Association for Computational Linguistics.