Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Arabic
Size:
100K - 1M
Tags:
Gender Identification
License:
File size: 853 Bytes
1942746 6d572b4 87bb859 1942746 6d572b4 1942746 6d572b4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 |
---
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. |