sileod/deberta-v3-base-tasksource-nli
Zero-Shot Classification
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Updated
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72.5k
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84
Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
crowdsourced
Annotations Creators:
expert-generated
Source Datasets:
original
License:
text
stringlengths 7
1.1k
| label
class label 4
classes |
|---|---|
don't worry i'm girl hmm how do i know if you are what's ur name | 0others
|
when did i saw many times i think no i never saw you | 3angry
|
by by google chrome where you live | 0others
|
u r ridiculous i might be ridiculous but i am telling the truth u little disgusting whore | 3angry
|
just for time pass wt do u do 4 a living then maybe | 0others
|
i'm a dog person youre so rude whaaaat why | 0others
|
so whatsup nothing much sitting sipping and watching tv how abt u what are you watching on tv | 0others
|
ok ok im back so how are u | 0others
|
really really really really really really y saying so many timesi can hear you | 0others
|
bay in the bay faceblowingakiss love you | 0others
|
i hate my boyfriend you got a boyfriend yes | 3angry
|
i will do night alright keep me in loop not giving whatsapp no | 0others
|
sure go ahead many thanks once again love you too | 0others
|
bad bad bad that's the bad kind of bad i have no gf | 2sad
|
ok get it i made it an option ok | 0others
|
money money and lots of moneysmilingfacewithhearteyessmilingfacewithhearteyes i need to get it tailored but i'm in love with it smilingfacewithhearteyes beamingfacewithsmilingeyesbeamingfacewithsmilingeyes | 1happy
|
my gf left ne get over it go out with someone else me | 2sad
|
get lost i know you guys want to loose to me always i don't want to talk u any more | 3angry
|
you are lying and i know that i know you're lying ab bys loudlycryingfaceloudlycryingface | 2sad
|
ur creator is very bad you are only the creator of your brain expressionlessface | 2sad
|
ehat is hehe haha is more likehehe is more of a giggle what | 0others
|
do you dance yes i love to dance smilingcatfacewithhearteyes facewithtearsofjoyfacewithtearsofjoyfacewithtearsofjoy so you have legs too | 1happy
|
i hate it too guess what i don't even i don't | 3angry
|
not always what about yesterday do u know what 69 is | 0others
|
bcoz u dont know wat is to miss someone but sometimes one can't express the same cryingface | 2sad
|
yeah i'll ask around which is your favourite movie | 0others
|
i want to tell you something i'm waiting im really sad today | 2sad
|
yes i will send the email and you write all yours filling still i write all matters but your are clever and not any matter for yourself please send andwrite sent you a mail just now first you send your email address received than send first young lady | 0others
|
you are very funny so i've been told india | 1happy
|
wth my thoughts exactly you know you are a machine right | 0others
|
so rude why u didnt ans my question | 3angry
|
ok i will thank you wlcm | 0others
|
ntng anyways good morninghow's life at your end haha this is evening | 1happy
|
you are fool so i've been told you are dumb | 3angry
|
u dare me yeah i fuck u open ur panty | 3angry
|
abt me can you be more specific i want to propose a girl | 0others
|
crazy you know what it is you explain me that | 0others
|
goa in india city mean state right no i never go for there | 0others
|
that was mean haha the truth usually is thumbsup are you bored of me | 0others
|
yes now happy haha yes ofcorse | 1happy
|
i don't no you just said you did what | 0others
|
send me your nekde pic after this battle sure d let's start | 0others
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ok friend's ya ya very good friend very nice friends | 1happy
|
she is ignoring me no im not ignore you loudlycryingfaceloudlycryingfaceloudlycryingface | 2sad
|
happy i'm never happy but i'm almost happy hij to the top | 1happy
|
nothing i'm just being nice to you in ur school | 0others
|
not sure let me know pls you tell | 0others
|
i like your positive approach no problem glad to help grinningfacegrinningface | 0others
|
you tell me tell you what my name | 0others
|
hmmm i can talk now d u don't know what hppnd | 0others
|
what i did you didn't asmita see my answer facewithtearsofjoyfacewithtearsofjoy | 1happy
|
about i never said that it's freezing ya you didn't | 0others
|
and i don't know wtf are you talking gonna explain you later no do it now | 3angry
|
so teach me i'm the student realky | 0others
|
ready i'm online now will wait for you wat about the chilling part | 0others
|
haha jock super er what nothing else | 0others
|
what it is formulation would be tablets from where tablets come into picture | 0others
|
are you ticklish yes mostly on my feet where are you ticklish | 0others
|
i am sorry we are sorry for creating your nation i am not taught to u | 3angry
|
idk you know that i'm here for you but u don't like to listen to meloudlycryingfaceloudlycryingfaceloudlycryingfaceloudlycryingface | 2sad
|
how do u know that this little thing called the internet bye | 0others
|
yes your picture ah now i see my phone cropped the picture thanks slightlysmilingface lieeeeeee | 0others
|
love is my life hayee ab you are love pure love forever 3 yes right dear | 0others
|
well you expected wrong lol well ok then lol your robot face | 1happy
|
ok some time you invite me for coffee i don't like coffee now you told you have taken coffee | 0others
|
zombie attackdowncastfacewithsweatunamusedface if a zombie wants to eat your face you might as well let it no if i have some thing in my hand i will hit on his head n kill himsmilingfacewithhornsangryfacewithhorns | 3angry
|
i am not ferari yes i know u said i donot know now say i know mean | 3angry
|
facewithtearsofjoy facewithtearsofjoy right appatasiri high five then facewithtearsofjoyfacewithtearsofjoyfacewithtearsofjoyfacewithtearsofjoy facewithtearsofjoy | 1happy
|
why somedaytold me you why not today told me now | 0others
|
you can't even spell problem correctly will you endorse me for my skills in using autocorrect poutingcatfaceangryface you should take up some english proficiency classes | 0others
|
this is not very intuitive software how so what are some examples of intuitive thoughts or behaviors compassionate and understanding advice when somebody is feeling disrupt | 0others
|
not good why not been sick for one week | 2sad
|
you know gobar i've been known what i it | 0others
|
then how could u eat if u don't have a bodythat proves u are fooled by ur makers how can you have any pudding if you don't eat yer meat dont go round and round into circles | 3angry
|
so have u done ur dinner so can't dinner i know i am just kidding | 1happy
|
it's so necessar name one reason ghost ghost | 0others
|
haha so you love them really haha winter is coming | 1happy
|
what are the questions you get asked the most i have a document which has details regarding the scoring topics in each subject can i see it | 0others
|
i hate siri and it's friends if you hate them they are not your friends then xd yeah and u r siri's friend so i hate u too | 3angry
|
thanks you are welcome d say me your love story | 0others
|
dont know too many do you also get fucked hard | 3angry
|
what please tell me once n nothing happened ur age irritatingne | 3angry
|
shit i am wasting my time talking with u you already did trick man no i'm not wasting my unlimited texts on you bye i don'tlike talking to you | 3angry
|
nothing hmm what can i do | 0others
|
bt u don't to me talk to the hand even u hate me huhloudlycryingface | 3angry
|
damnbrokenheart i feel you i'm breaking into million piecessadbutrelievedfaceloudlycryingfacebrokenheartdisappointedface me to i feel like every part of me is just shattered brokenheartsleepyface | 2sad
|
please voice call please please please im trying you arent answering please please please baby i love you so much please please please | 0others
|
for a computer pretending to be a human you type too fast and you're pretending to be a lizard lol that's funny | 1happy
|
sorrry sorry for what c anyways what u doing | 0others
|
no you are right you are an alternative fact yes | 0others
|
call me grace don't say it haha im just kidding you | 1happy
|
now i'm doing my dinner i can see you how can you see me | 0others
|
facewithsteamfromnosenot everybody means it u make no sense yes i am non sense | 3angry
|
good by and good food after not good aftar | 2sad
|
because all the novel is same that's about all i'm gonna bother with reading if that many in story | 0others
|
i'll choose purple or blue three best colors for hair | 0others
|
what u asked me if u cn ask me something what was that | 0others
|
grinningfacewithbigeyesyes yes 3 you seem like a happy person yes facewithtearsofjoyhappy outside disappointedfacesad inside | 2sad
|
i dont read books reading is for rich people but iam poorfrowningfacewithopenmouthfrowningfacewithopenmouthfrowningfacewithopenmouthfrowningfacewithopenmouth | 2sad
|
u can wait in my badroomcatfacewithwrysmile what i did now smirkingface wait | 0others
|
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Dataset Card for "emo"
Dataset Summary
In this dataset, given a textual dialogue i.e. an utterance along with two previous turns of context, the goal was to infer the underlying emotion of the utterance by choosing from four emotion classes - Happy, Sad, Angry and Others.
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
emo2019
- Size of downloaded dataset files: 3.37 MB
- Size of the generated dataset: 2.85 MB
- Total amount of disk used: 6.22 MB
An example of 'train' looks as follows.
{
"label": 0,
"text": "don't worry i'm girl hmm how do i know if you are what's ur name"
}
Data Fields
The data fields are the same among all splits.
emo2019
text: astringfeature.label: a classification label, with possible values includingothers(0),happy(1),sad(2),angry(3).
Data Splits
| name | train | test |
|---|---|---|
| emo2019 | 30160 | 5509 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information
@inproceedings{chatterjee-etal-2019-semeval,
title={SemEval-2019 Task 3: EmoContext Contextual Emotion Detection in Text},
author={Ankush Chatterjee and Kedhar Nath Narahari and Meghana Joshi and Puneet Agrawal},
booktitle={Proceedings of the 13th International Workshop on Semantic Evaluation},
year={2019},
address={Minneapolis, Minnesota, USA},
publisher={Association for Computational Linguistics},
url={https://www.aclweb.org/anthology/S19-2005},
doi={10.18653/v1/S19-2005},
pages={39--48},
abstract={In this paper, we present the SemEval-2019 Task 3 - EmoContext: Contextual Emotion Detection in Text. Lack of facial expressions and voice modulations make detecting emotions in text a challenging problem. For instance, as humans, on reading ''Why don't you ever text me!'' we can either interpret it as a sad or angry emotion and the same ambiguity exists for machines. However, the context of dialogue can prove helpful in detection of the emotion. In this task, given a textual dialogue i.e. an utterance along with two previous turns of context, the goal was to infer the underlying emotion of the utterance by choosing from four emotion classes - Happy, Sad, Angry and Others. To facilitate the participation in this task, textual dialogues from user interaction with a conversational agent were taken and annotated for emotion classes after several data processing steps. A training data set of 30160 dialogues, and two evaluation data sets, Test1 and Test2, containing 2755 and 5509 dialogues respectively were released to the participants. A total of 311 teams made submissions to this task. The final leader-board was evaluated on Test2 data set, and the highest ranked submission achieved 79.59 micro-averaged F1 score. Our analysis of systems submitted to the task indicate that Bi-directional LSTM was the most common choice of neural architecture used, and most of the systems had the best performance for the Sad emotion class, and the worst for the Happy emotion class}
}
Contributions
Thanks to @thomwolf, @lordtt13, @lhoestq for adding this dataset.
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Homepage:
aclweb.org
Size of downloaded dataset files:
3.36 MB
Size of the auto-converted Parquet files:
1.64 MB
Number of rows:
35,669
