Dar Datasets
Collection
datasets uploaded by https://github.com/ARBML/dar
•
200 items
•
Updated
•
13
Dataset Viewer
tweet_id
stringlengths 11
19
| label
class label 18
classes |
|---|---|
1172627595080404992
| 5QADI_train_ids_AE
|
1142230383582486529
| 5QADI_train_ids_AE
|
1115907963330400257
| 5QADI_train_ids_AE
|
1113185042245746690
| 5QADI_train_ids_AE
|
1176960769633771522
| 5QADI_train_ids_AE
|
1176958196801560576
| 5QADI_train_ids_AE
|
1173834766048792577
| 5QADI_train_ids_AE
|
1173722707323695104
| 5QADI_train_ids_AE
|
1173308128320004096
| 5QADI_train_ids_AE
|
1171812119110660102
| 5QADI_train_ids_AE
|
1170356981149949963
| 5QADI_train_ids_AE
|
1170277737325572097
| 5QADI_train_ids_AE
|
1170276472663289856
| 5QADI_train_ids_AE
|
1170029663630106624
| 5QADI_train_ids_AE
|
1169957846559199233
| 5QADI_train_ids_AE
|
1169880699983151104
| 5QADI_train_ids_AE
|
1168025301751779331
| 5QADI_train_ids_AE
|
1165016270598750210
| 5QADI_train_ids_AE
|
1164972695282487296
| 5QADI_train_ids_AE
|
1164166009403691008
| 5QADI_train_ids_AE
|
1163481305549561856
| 5QADI_train_ids_AE
|
1162025194787094529
| 5QADI_train_ids_AE
|
1158650048831471617
| 5QADI_train_ids_AE
|
1158435244833464320
| 5QADI_train_ids_AE
|
1158265937650421767
| 5QADI_train_ids_AE
|
1155591868085874688
| 5QADI_train_ids_AE
|
1155566754145427456
| 5QADI_train_ids_AE
|
1154037494607777795
| 5QADI_train_ids_AE
|
1153303456859545600
| 5QADI_train_ids_AE
|
1152268359104376839
| 5QADI_train_ids_AE
|
1151427640932405248
| 5QADI_train_ids_AE
|
1151419119843123200
| 5QADI_train_ids_AE
|
1150082094565138432
| 5QADI_train_ids_AE
|
1149152602627747840
| 5QADI_train_ids_AE
|
1148550083824291840
| 5QADI_train_ids_AE
|
1148176444926939136
| 5QADI_train_ids_AE
|
1147813796288835584
| 5QADI_train_ids_AE
|
1147577001856966661
| 5QADI_train_ids_AE
|
1147221525269024768
| 5QADI_train_ids_AE
|
1146852845569937408
| 5QADI_train_ids_AE
|
1146628110705659905
| 5QADI_train_ids_AE
|
1146008844319023104
| 5QADI_train_ids_AE
|
1145476390663413760
| 5QADI_train_ids_AE
|
1144339079896739849
| 5QADI_train_ids_AE
|
1142562371451445249
| 5QADI_train_ids_AE
|
1139882322289971201
| 5QADI_train_ids_AE
|
1138225329200406528
| 5QADI_train_ids_AE
|
1138197947395575808
| 5QADI_train_ids_AE
|
1138192119162712066
| 5QADI_train_ids_AE
|
1137634203993067521
| 5QADI_train_ids_AE
|
1137577027396153344
| 5QADI_train_ids_AE
|
1137005374765248512
| 5QADI_train_ids_AE
|
1137004803417133058
| 5QADI_train_ids_AE
|
1136283331102990336
| 5QADI_train_ids_AE
|
1136223090369847297
| 5QADI_train_ids_AE
|
1136207393539395584
| 5QADI_train_ids_AE
|
1136154248121638912
| 5QADI_train_ids_AE
|
1136153772533719041
| 5QADI_train_ids_AE
|
1129981968077266944
| 5QADI_train_ids_AE
|
1129316888092315648
| 5QADI_train_ids_AE
|
1125057506194096130
| 5QADI_train_ids_AE
|
1120619073577132032
| 5QADI_train_ids_AE
|
1119988953891909634
| 5QADI_train_ids_AE
|
1119627511225376768
| 5QADI_train_ids_AE
|
1118741401293004800
| 5QADI_train_ids_AE
|
1116861214783619073
| 5QADI_train_ids_AE
|
1116140848012496896
| 5QADI_train_ids_AE
|
1116118626929709056
| 5QADI_train_ids_AE
|
1115660033499566086
| 5QADI_train_ids_AE
|
1114726345551044608
| 5QADI_train_ids_AE
|
1113903926804402180
| 5QADI_train_ids_AE
|
1112439038143795206
| 5QADI_train_ids_AE
|
1109700605558382592
| 5QADI_train_ids_AE
|
1106988090059620352
| 5QADI_train_ids_AE
|
1104963143334285314
| 5QADI_train_ids_AE
|
1098244427238248448
| 5QADI_train_ids_AE
|
1096639524933959680
| 5QADI_train_ids_AE
|
1096517197952884741
| 5QADI_train_ids_AE
|
1095208292861837313
| 5QADI_train_ids_AE
|
1095021568328118272
| 5QADI_train_ids_AE
|
1095016083172614145
| 5QADI_train_ids_AE
|
1093895953441046531
| 5QADI_train_ids_AE
|
1092410652008873985
| 5QADI_train_ids_AE
|
1091845600663011328
| 5QADI_train_ids_AE
|
1088477086900199429
| 5QADI_train_ids_AE
|
1087015929291124736
| 5QADI_train_ids_AE
|
1080685742593097729
| 5QADI_train_ids_AE
|
1075412680809291776
| 5QADI_train_ids_AE
|
1073127072703438851
| 5QADI_train_ids_AE
|
1064206652361060352
| 5QADI_train_ids_AE
|
1058908054715092992
| 5QADI_train_ids_AE
|
1054267321798189056
| 5QADI_train_ids_AE
|
1050485680659263488
| 5QADI_train_ids_AE
|
1048343517414772737
| 5QADI_train_ids_AE
|
1045799611397492736
| 5QADI_train_ids_AE
|
1045774056476340224
| 5QADI_train_ids_AE
|
1045763660201758720
| 5QADI_train_ids_AE
|
1043227308470009856
| 5QADI_train_ids_AE
|
1043194042832613381
| 5QADI_train_ids_AE
|
1042813539512197120
| 5QADI_train_ids_AE
|
End of preview. Expand
in Data Studio
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
Dataset Card for QADI
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
@INPROCEEDINGS{hsajjad2020arabench,
author={Sajjad, Hassan and Abdelali, Ahmed and Durrani, Nadir and Dalvi, Fahim},
booktitle={GOLING},
title={AraBench: Benchmarking Dialectal Arabic-English Machine Translation},
year={2020},
month={Dec},
pages={123-456},
doi={doi:00000-0000}
}
Contributions
Thanks to @github-username for adding this dataset.
- Downloads last month
- 19
Homepage: [info]
Homepage: [info]
Repository: [info]
Repository: [info]
Paper: [info]
Paper: [info]
Leaderboard: [info]
Leaderboard: [info]
Point of Contact: [info]
Point of Contact: [info]
Size of downloaded dataset files:
9.55 MB
Size of the auto-converted Parquet files:
9.55 MB
Number of rows:
540,590