Datasets:
gender
stringclasses 2
values | name_first_word
stringlengths 1
32
|
|---|---|
f | ุงุณูู |
f | abeer |
f | ุฏุงููุง |
f | ู
ูุณุงุก |
f | ูุฑูุงู |
f | amal |
f | ูุฏู |
f | ุตููู |
f | ููุฑู |
f | ููุฑู |
f | ู
ุฑูู
|
f | ุดูุฏ |
f | ู
ูุงู |
f | maryam |
f | eman |
f | ููุฑู |
f | ุญุตู |
f | ููุฑู |
f | fatma |
f | kawthar |
f | ohood |
f | zahraa |
f | ูุงุทู
ู |
f | ุฑูู
|
f | hanan |
f | samar |
f | fatma |
f | zahra |
f | dina |
f | hend |
f | israa |
f | nagwa |
f | omnia |
f | hala |
f | salma |
f | azza |
f | ู
ูู |
f | ebtehal |
f | samia |
f | faten |
f | ู
ูุงู |
f | hoda |
f | salma |
f | muhra |
f | rania |
f | aisha |
f | dina |
f | safa |
f | ุฒููุจ |
f | iman |
f | khawla |
f | sanaa |
f | ุนูุงุทู |
f | ู
ูุงู |
f | ู
ูู |
f | eman |
f | abeer |
f | nedaa |
f | zainab |
f | sahar |
f | aseel |
f | farah |
f | rawan |
f | tahani |
f | ุงููุงุณ |
f | zainab |
f | ุญูุตู |
f | ุฑูู
|
f | ููุฌูู |
f | ู
ุฑูุงู
|
f | faten |
f | ู
ูุงุฑ |
f | fatima |
f | ูุงุชู |
f | sabrina |
f | ุฌูู |
f | ุณูุฏุณ |
f | wedad |
f | ุญููู
ู |
f | ุงููุงู
|
f | halima |
f | ุฑูู
|
f | ูุงุทู
ู |
f | abeer |
f | ูุงุทู
ู |
f | ูุงุทู
ู |
f | ู
ูู |
f | ุฑูู
ุง |
f | afnan |
f | salma |
f | ูุฑุญู |
f | ุนุงุฆุดู |
f | ุณุงุฑู |
f | nawal |
f | ููุงุก |
f | ุฑุฒุงู |
f | amena |
f | lina |
f | leena |
f | ุณุงุฑู |
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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 124โ135, Gyeongju, Republic of Korea. Association for Computational Linguistics.
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