Tweet_ID;Sarcastic;Sentiment
stringlengths 30
32
|
|---|
1239697251389321218;No;Neutral
|
1233487704198873089;Yes;Positive
|
1270578381994803202;Yes;Positive
|
1315382374844665444;No;Negative
|
1262364421294297088;No;Negative
|
1258717493633462276;No;Neutral
|
1243523541842173953;No;Neutral
|
1235261630046441473;Yes;Neutral
|
1330825141203456002;Yes;Positive
|
1258831601846423554;Yes;Neutral
|
1309455273195692032;Yes;Positive
|
1267233970153979905;No;Neutral
|
1246456651441373185;Yes;Positive
|
1291115696726986753;No;Negative
|
1239890955702075393;No;Neutral
|
1254216911799357440;No;Positive
|
1307105529848791041;Yes;Positive
|
1254063931552923654;No;Neutral
|
1269700725220802560;No;Negative
|
1283162578886238208;No;Positive
|
1244249194598187008;No;Neutral
|
1261018974738841605;Yes;Neutral
|
1274821915132203009;No;Positive
|
1267573054756044801;No;Neutral
|
1331448039609929730;No;Positive
|
1263493766599630854;Yes;Positive
|
1229350415751426050;No;Neutral
|
1252318272135012353;No;Positive
|
1263214076295032832;No;Positive
|
1273383272878411778;No;Negative
|
1256282033418092556;No;Neutral
|
1243631012904677378;Yes;Neutral
|
1321156323866804224;No;Negative
|
1234471299109486594;No;Neutral
|
1300008558180925440;No;Negative
|
1286384330105905153;Yes;Positive
|
1388656367295670031;Yes;Positive
|
1264898438652665857;No;Negative
|
1282299684699201542;No;Positive
|
1362469241770743359;No;Neutral
|
1241352412520165376;No;Neutral
|
1232784230482153476;Yes;Neutral
|
1230889685616078854;No;Neutral
|
1228403711388585985;No;Neutral
|
1275795736496672769;No;Positive
|
1253814757133557760;Yes;Neutral
|
1237108879076532226;Yes;Neutral
|
1241093561556312065;No;Neutral
|
1273723763381751814;No;Negative
|
1261421906013478912;Yes;Positive
|
1301048542824407040;Yes;Positive
|
1272881600670433290;No;Negative
|
1239795728207265792;No;Positive
|
1300054457976266753;No;Negative
|
1273733743119908864;Yes;Positive
|
1264934471708618754;No;Neutral
|
1242429085864939521;No;Neutral
|
1260992464317493251;No;Neutral
|
1297906781734285316;Yes;Positive
|
1263952138025254912;No;Negative
|
1247069023713591296;No;Positive
|
1261481700321787908;No;Neutral
|
1254044829757177856;Yes;Neutral
|
1240649050619367426;No;Neutral
|
1242858160467193857;No;Neutral
|
1295176131868536834;Yes;Positive
|
1328674463899127808;No;Negative
|
1262074869765877763;Yes;Positive
|
1251604039080513538;No;Negative
|
1269288597078892544;No;Negative
|
1235638153358094336;No;Negative
|
1254597337399394305;No;Neutral
|
1247932349708406787;No;Negative
|
1229123734944047104;No;Neutral
|
1332751930489867101;No;Negative
|
1236976659120754688;No;Neutral
|
1294280318216802307;No;Negative
|
1272590260938182661;No;Negative
|
1261897641455161345;No;Neutral
|
1243963079311974400;Yes;Positive
|
1239667627032588288;No;Neutral
|
1237288305907073024;No;Positive
|
1376679501794238974;No;Negative
|
1224554874882478083;Yes;Positive
|
1222149068295753728;Yes;Positive
|
1221155919008092160;Yes;Neutral
|
1232014980289044481;No;Positive
|
1247271715216003073;Yes;Positive
|
1240278077835444231;Yes;Positive
|
1301267065802760199;No;Positive
|
1292288022118105088;No;Positive
|
1287680037806841856;No;Positive
|
1284473913628557312;Yes;Positive
|
1260270717062569984;No;Negative
|
1239507050222288898;Yes;Positive
|
1250369344191815680;Yes;Positive
|
1250244239230996482;No;Neutral
|
1310210813526003719;Yes;Positive
|
1266095597465059330;No;Neutral
|
1246527904110034944;No;Neutral
|
End of preview. Expand
in Data Studio
ARACOVID19-SSD: ARABIC COVID-19 SENTIMENT AND SARCASM DETECTION DATASET
Description
AraCOVID19-SSD is a manually annotated Arabic COVID-19 sarcasm and sentiment detection dataset containing 5,162 tweets. The labels used in the dataset are the following:
Examples
Examples of the instances from the dataset are provided in the below Table:
Statistics
The statistics for the dataset are provided in the below Table:
Citations
If you want to use the dataset please cite the following arXiv paper:
@article{ameur2021aracovid19,
title={Aracovid19-ssd: Arabic covid-19 sentiment and sarcasm detection dataset},
author={Ameur, Mohamed Seghir Hadj and Aliane, Hassina},
journal={arXiv preprint arXiv:2110.01948},
year={2021}
}
Contacts:
For all questions please contact [email protected]
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