account
stringlengths
2
15
HukoomiQatar
culturebah
AshghalQatar
DMunicipality
QF
DubaiSC
dubaitourism
DXBMediaOffice
DubaiPoliceHQ
DohaFilm
NCSIOman
QatarDebate
RTA_Dubai
DEWAOfficial
iGABahrain
ADNECGroup
AdnocGroup
CDA_Dubai
uaespaceagency
Masdar
MBRSpaceCentre
DAFZAOfficial
MohamedBinZayed
sharjahtourism
MIAQatar
MOFUAE
USAinKSA
HBKU
HMC_Qatar
NBOBank
DHA_Dubai
VisitQatar
OoredooQatar
MoCCaEUAE
ROH_Muscat
ofirgendelman
ForeignMinistry
Qatar_Museums
Qatar_Weather
AbuDhabiEvents
ENOC
AlAinZooUAE
onqatar
DubaiOpera
EzdanRealEstate
SEHAHealth
Shell_Qatar
EzdanMall
MOFAUAE
kataraqatar
qatar_olympic
KhalifaUni
PDO_OM
moi_bahrain
Active_Qatar
MsheirebDoha
MBRF_News
UAEU_NEWS
alhilalbank
TarsheedQatar
CBQat
UAEREP
NDQatar
expo2020dubai
UNHCRIraq
exxonmobil_qa
DubaiCares
MSFTBusinessMEA
MOHRE_UAE
HBZstadium
ADNOCdist
KHDA
_KFF_
UNIraq
qatarpetroleum
MOTC_QA
kahramaa
DIBtoday
anhri
dubaifoodfest
esmaGOV
reachouttoasia
aspirezone
FerrariWorldAD
MuslimElders
UAEmGov
schoolsolympic
JHAHNews
KAMCOtweets
AbuDhabiSC
USAinUAE
molhamteam
AbuDhabi_ADM
MfaEgypt
emaardubai
AymanHsafadi
june_feliciano2
MaerskOilQatar
CayanGroup
EFYouth

Dataset Card for Bilingual Corpus of Arabic-English Parallel Tweets

Dataset Summary

Twitter users often post parallel tweets鈥攖weets that contain the same content but are written in different languages. Parallel tweets can be an important resource for developing machine translation (MT) systems among other natural language processing (NLP) tasks. This resource is a result of a generic method for collecting parallel tweets. Using the method, we compiled a bilingual corpus of English-Arabic parallel tweets and a list of Twitter accounts who post English-Arabic tweets regularly. Additionally, we annotate a subset of Twitter accounts with their countries of origin and topic of interest, which provides insights about the population who post parallel tweets.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

parallelTweets:

{
  "ArabicTweetID": 981111245209243600,
  "EnglishTweetID": 981111450432401400
}

accountList:

{
  'account': 'HukoomiQatar'
}

countryTopicAnnotation:

{
  'account': 'HukoomiQatar',
  'country': 'QA',
  'topic': 'Gov'
}

Data Fields

parallelTweets:

  • ArabicTweetID (int)
  • EnglishTweetID (int)

accountList:

  • account (str)

countryTopicAnnotation:

  • account (str)
  • country (class label): One of:
    • "QA",
    • "BH",
    • "AE",
    • "OM",
    • "SA",
    • "PL",
    • "JO",
    • "IQ",
    • "Other",
    • "EG",
    • "KW",
    • "SY"
  • topic (class label): One of:
    • "Gov",
    • "Culture",
    • "Education",
    • "Sports",
    • "Travel",
    • "Events",
    • "Business",
    • "Science",
    • "Politics",
    • "Health",
    • "Governoment",
    • "Media",

Data Splits

All configuration have only one split: "test".

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

It is licensed under the Apache License, Version 2.0.

Citation Information

@inproceedings{Mubarak2020bilingualtweets,
  title={Constructing a Bilingual Corpus of Parallel Tweets},
  author={Mubarak, Hamdy and Hassan, Sabit and Abdelali, Ahmed},
  booktitle={Proceedings of 13th Workshop on Building and Using Comparable Corpora (BUCC)},
  address={Marseille, France},
  year={2020}
}

[More Information Needed]

Contributions

Thanks to @sumanthd17 for adding this dataset.

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