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3.52k
labels
sequence
dataset_name
class label
9 classes
aspect
class label
3 classes
[NAME] is da man. A gangsta mathematician who had the guts to seduce the most beautiful Spartan woman of her time.
[ "admiration", "neutral" ]
0go_emotion
1sentiment
Reminds me of that iCarly episode for the recycle project in science class with the nuclear reactor
[ "neutral" ]
0go_emotion
1sentiment
No, the ECJ made unilateral A50 revocation subject to good faith use, not as a tactical tool to gain a better deal.
[ "neutral" ]
0go_emotion
1sentiment
That’s because she went on to miss the lay up
[ "neutral" ]
0go_emotion
1sentiment
Hey! Anyone have the DL on this MLM ? Would love some links to send a victim!!
[ "love", "neutral" ]
0go_emotion
1sentiment
Available 24/7? You could put a ring on it and still not get that kind of service.
[ "neutral" ]
0go_emotion
1sentiment
Why? I would rather the players get the money than the owners
[ "neutral" ]
0go_emotion
1sentiment
*Trust the plan*
[ "approval", "neutral" ]
0go_emotion
1sentiment
So much tininess!
[ "neutral" ]
0go_emotion
1sentiment
I mean if she wants to create change has she considered changing her whole personality and just being quiet
[ "neutral" ]
0go_emotion
1sentiment
So he watches a movie documenting how a band became mainstream and complains about them being mainstream. O-k
[ "neutral" ]
0go_emotion
1sentiment
Yup, even if they had a very rough life... Nobody ages thaaaaaat badly.
[ "neutral" ]
0go_emotion
1sentiment
If you weren't connected at the head you'd be okay, until the other head started to decompose. You'd probably die of septic shock
[ "neutral" ]
0go_emotion
1sentiment
"Don't be stupid and be a smarty, come and join the Nazi party !"
[ "neutral" ]
0go_emotion
1sentiment
Read: A Billion Wicked Thoughts: What the Internet Tells Us About Sexual Relationships It will reveal all
[ "neutral" ]
0go_emotion
1sentiment
its not even illegal for like siblings and parents/children to have sex as long as they are adults and consenting when the relationship begins.
[ "neutral" ]
0go_emotion
1sentiment
I’m not arguing for it. I just think the punishment doesn’t fit the crime.
[ "realization", "neutral" ]
0go_emotion
1sentiment
That might be the first accurate thing you’ve said today! (You’re merely a couple of decades late.)
[ "neutral" ]
0go_emotion
1sentiment
[NAME] redeemed herself!!
[ "neutral" ]
0go_emotion
1sentiment
[NAME]: "S that D! Shut it down!"
[ "neutral" ]
0go_emotion
1sentiment
Me. I really needed to see this. ☹️
[ "sadness", "neutral" ]
0go_emotion
1sentiment
Reddit is being way too forgiving of [NAME] for some reason, it's an odd nerve that I've touched here apparently but keep the downvotes coming.
[ "neutral" ]
0go_emotion
1sentiment
I know a lot of people around my rural area who did. These are people my age ~28 sharing this tigger the libs crap.
[ "neutral" ]
0go_emotion
1sentiment
They can choose not to be abused by refusing to work such a shitty job
[ "neutral" ]
0go_emotion
1sentiment
Cut into this guy's hair, [NAME] is ftfy
[ "neutral" ]
0go_emotion
1sentiment
[NAME] is creepy about nearly everything, but the way she is so possessive over [NAME] is super uncomfortable.
[ "neutral" ]
0go_emotion
1sentiment
Needs funny captions.
[ "desire", "neutral" ]
0go_emotion
1sentiment
It's a shame he didn't trust you enough to believe you, but instead believed his own assessment of what he was worth.
[ "neutral" ]
0go_emotion
1sentiment
Shouldn't have drank water from his cup.
[ "neutral" ]
0go_emotion
1sentiment
"brush my back again, I dare you, I double dare you."
[ "neutral" ]
0go_emotion
1sentiment
begone tree hugger over there.
[ "neutral" ]
0go_emotion
1sentiment
You forgot shinobi
[ "realization", "neutral" ]
0go_emotion
1sentiment
The end was kinda meeeehhhh. Like Season 9 AMIRITE THX
[ "neutral" ]
0go_emotion
1sentiment
None of it will happen Just wait for them to yank it away
[ "neutral" ]
0go_emotion
1sentiment
Yeah there's a lot of innately absurd conclusions this guy's drawing here
[ "neutral" ]
0go_emotion
1sentiment
Ha keep him on his toes
[ "neutral" ]
0go_emotion
1sentiment
She does't even go here
[ "neutral" ]
0go_emotion
1sentiment
I haven't gone to someone to talk about it. I really want to, though.
[ "neutral" ]
0go_emotion
1sentiment
No, because I don't have to. This is an "Everyone else" problem.
[ "neutral" ]
0go_emotion
1sentiment
No problem, it's never easy to be in this situation. It's best to end things neatly before you end up resenting each other
[ "neutral" ]
0go_emotion
1sentiment
"[NAME]" Still love [NAME], and while the actual [NAME] was cool at first, she's gotten pretty "meh" to me.
[ "neutral" ]
0go_emotion
1sentiment
So can [NAME]
[ "neutral" ]
0go_emotion
1sentiment
The real reason [NAME] hates pewdiepie
[ "neutral" ]
0go_emotion
1sentiment
Ok, but can you explain why you story doesn’t fit the video?
[ "neutral" ]
0go_emotion
1sentiment
the Bulls turn cap space into cash money. Doesn't help or hurt the team, but makes the owner happy
[ "neutral" ]
0go_emotion
1sentiment
Translation: "I don't think restaurant employees should be allowed to express frustration under any circumstances."
[ "neutral" ]
0go_emotion
1sentiment
Yeah I was just trying to save some money and I've been alright with G2A before
[ "desire", "neutral" ]
0go_emotion
1sentiment
Oh yeah that
[ "neutral" ]
0go_emotion
1sentiment
Well damn I’m going to the Buckingham today
[ "neutral" ]
0go_emotion
1sentiment
*Day after day, ordinary people become heroes through extraordinary and selfless actions to help their neighbors.* -[NAME]
[ "neutral" ]
0go_emotion
1sentiment
>just because I miss [NAME] and [NAME], who played them. You forgot to add the rest of that sentence
[ "sadness", "neutral" ]
0go_emotion
1sentiment
Anyone who complains about being a loser is a loser.
[ "annoyance", "neutral" ]
0go_emotion
1sentiment
Yeah very true
[ "approval", "neutral" ]
0go_emotion
1sentiment
If you are not worried about stranger danger I could probably give you a lift.
[ "neutral" ]
0go_emotion
1sentiment
Yeah, look at the publicity for just that.
[ "neutral" ]
0go_emotion
1sentiment
With that logic, women shouldn't be able to drive cars considering they are more prone to accidents/wrecks. Would you agree?
[ "neutral" ]
0go_emotion
1sentiment
Yeah, could have easily been 7-5 or 7-6 or 8-7...
[ "neutral" ]
0go_emotion
1sentiment
People do realize that getting an ad declined for the Super Bowl is an actual advertising strategy, right?
[ "neutral" ]
0go_emotion
1sentiment
You absolutely should not tell her.
[ "neutral" ]
0go_emotion
1sentiment
[NAME] an Angel now. ⭐️
[ "neutral" ]
0go_emotion
1sentiment
And Tranna for Toronto.
[ "neutral" ]
0go_emotion
1sentiment
He looks like bob saget
[ "neutral" ]
0go_emotion
1sentiment
I work at an R1 university, with most of my team composed of CS/CE undergrad students. Yes, I've known many...
[ "approval", "neutral" ]
0go_emotion
1sentiment
ahh sweet man seems like i have more luck at night like 6 and after
[ "neutral" ]
0go_emotion
1sentiment
Check the frame (FPS) limit option in the advanced graphic options menu.
[ "neutral" ]
0go_emotion
1sentiment
We got a room full if potheads, were gonna need back up.” “I’M ON MY WAY!”
[ "neutral" ]
0go_emotion
1sentiment
Google Tom Green sandwiches. It isn't the kind of thing you explain.
[ "neutral" ]
0go_emotion
1sentiment
As wholesome as that is... How is that a confession? That's casual discussion.
[ "neutral" ]
0go_emotion
1sentiment
Good: Beat OSU Better: Humiliate OSU Best: Embarrass OSU so badly that they lose recruits to us after the game
[ "neutral" ]
0go_emotion
1sentiment
I'd say that the vast majority of the population is and was rightly looked on as horrific. Christmas music makes me feel like a real [NAME].
[ "disappointment", "neutral" ]
0go_emotion
1sentiment
Waddle like your life depends on it because it might. Ice is dangerous.
[ "neutral" ]
0go_emotion
1sentiment
Plus like why would they go for the head? You’d have to break both of his legs to stop [NAME].
[ "neutral" ]
0go_emotion
1sentiment
We literally share a parking lot with a bank and I get people asking me for change all. The. Time. I struggle.
[ "neutral" ]
0go_emotion
1sentiment
Can anyone tell me what happened to [NAME]?
[ "neutral" ]
0go_emotion
1sentiment
It more means nuxia needs help.
[ "neutral" ]
0go_emotion
1sentiment
It was a commercial. Do a lot of conservatives have this problem?
[ "neutral" ]
0go_emotion
1sentiment
“Keep a place for me” “I’ll sleep between y’all it’s nothin”
[ "neutral" ]
0go_emotion
1sentiment
You’re now banned from /r/starwars and some YouTube channels
[ "neutral" ]
0go_emotion
1sentiment
“Screaming outrage” you say? Project much?
[ "neutral" ]
0go_emotion
1sentiment
Putting the opposite outcome of what [NAME] says is a close second imo
[ "neutral" ]
0go_emotion
1sentiment
[NAME] holding grudges
[ "neutral" ]
0go_emotion
1sentiment
He said “Guess he didn’t get the victory [NAME] :(“
[ "neutral" ]
0go_emotion
1sentiment
Nothing gets past you!
[ "neutral" ]
0go_emotion
1sentiment
That's what they're for! I wouldn't use it for anything else. And make sure you don't have plans 6-10 hours from taking it...
[ "neutral" ]
0go_emotion
1sentiment
You know [waves hand] Everyone.
[ "neutral" ]
0go_emotion
1sentiment
Cruz Azul let go a young [NAME] because they had [NAME] higher on their goalkeeper pick lol
[ "neutral" ]
0go_emotion
1sentiment
Nah, I knock on the door from inside, or the wall, or tap the floor, seems easier
[ "disapproval", "neutral" ]
0go_emotion
1sentiment
Yeah they paid for my dinner but still ugh
[ "neutral" ]
0go_emotion
1sentiment
3/10 bad troll
[ "neutral" ]
0go_emotion
1sentiment
If your significant other had sex with someone after getting drunk, you wouldn't consider that cheating?
[ "confusion", "neutral" ]
0go_emotion
1sentiment
Well that's hardly this other woman's problem. You come across as a bitter, immature incel, so maybe sort your attitude out before trying to attract anyone.
[ "neutral" ]
0go_emotion
1sentiment
Watch it and find out. Go in with a fresh mind.
[ "neutral" ]
0go_emotion
1sentiment
A) at first it looked like sex doll B) aren't the staples gonna sting you in the ass at some point?
[ "neutral" ]
0go_emotion
1sentiment
Those didn't produce any relevant examples.
[ "neutral" ]
0go_emotion
1sentiment
The trouble is that they are, in fact, very devout [NAME].
[ "neutral" ]
0go_emotion
1sentiment
As lad she comin
[ "neutral" ]
0go_emotion
1sentiment
"You might feel some slight discomfort"
[ "neutral" ]
0go_emotion
1sentiment
If the anime really ends that way there’s no way I see [NAME] and [NAME] get back together.
[ "neutral" ]
0go_emotion
1sentiment
“I wish there was a way to know you're in the good old days before you've actually left them.”
[ "desire", "neutral" ]
0go_emotion
1sentiment
My 35kg ball of quivering nerves, which I am currently wearing like a tea cosy, would like to register an objection.
[ "neutral" ]
0go_emotion
1sentiment

Universal Text Classification Dataset (UTCD)

Load dataset

from datasets import load_dataset
dataset = load_dataset('claritylab/utcd', name='in-domain')

Description

UTCD is a curated compilation of 18 datasets revised for Zero-shot Text Classification spanning 3 aspect categories of Sentiment, Intent/Dialogue, and Topic classification. UTCD focuses on the task of zero-shot text classification where the candidate labels are descriptive of the text being classified. TUTCD consists of ~ 6M/800K train/test examples.

UTCD was introduced in the Findings of ACL'23 Paper Label Agnostic Pre-training for Zero-shot Text Classification by Christopher Clarke, Yuzhao Heng, Yiping Kang, Krisztian Flautner, Lingjia Tang and Jason Mars. Project Homepage.

UTCD Datasets & Principles:

In order to make NLP models more broadly useful, zero-shot techniques need to be capable of label, domain & aspect transfer. As such, in the construction of UTCD we enforce the following principles:

Structure

Data Samples

Each dataset sample contains the text, the label encoded as an integer, and the dataset name encoded as an integer.

{
    'text': "My favourite food is anything I didn't have to cook myself.",
    'labels': [215],
    'dataset_name': 0
}

Datasets Contained

The UTCD dataset contains 18 datasets, 9 in-domain, 9 out-of-domain, spanning 3 aspects: sentiment, intent and topic.

Below are statistics on the datasets.

In-Domain Datasets

Dataset Aspect #Samples in Train/Test #labels average #token in text in Train/Test
GoEmotions sentiment 43K/5.4K 28 12/12
TweetEval sentiment 45K/12K 3 19/14
Emotion sentiment 16K/2K 6 17/17
SGD intent 16K/4.2K 26 8/9
Clinc-150 intent 15K/4.5K 150 8/8
SLURP intent 12K/2.6K 75 7/7
AG News topic 120K7.6K 4 38/37
DBpedia topic 560K/70K 14 45/45
Yahoo topic 1.4M/60K 10 10/10

Out-of-Domain Datasets

Dataset Aspect #Samples in Train/Test #labels average #token in text
Amazon Polarity sentiment 3.6M/400K 2 71/71
Financial Phrase Bank sentiment 1.8K/453 3 19/19
Yelp sentiment 650K/50K 3 128/128
Banking77 intent 10K/3.1K 77 11/10
SNIPS intent 14K/697 7 8/8
NLU Eval intent 21K/5.2K 68 7/7
MultiEURLEX topic 55K/5K 21 1198/1853
Big Patent topic 25K/5K 9 2872/2892
Consumer Finance topic 630K/160K 18 190/189

Configurations

The in-domain and out-of-domain configurations has 2 splits: train and test.

The aspect-normalized configurations (aspect-normalized-in-domain, aspect-normalized-out-of-domain) has 3 splits: train, validation and test.

Below are statistics on the configuration splits.

In-Domain Configuration

Split #samples
Train 2,192,703
Test 168,365

Out-of-Domain Configuration

Split #samples
Train 4,996,673
Test 625,911

Aspect-Normalized In-Domain Configuration

Split #samples
Train 115,127
Validation 12,806
Test 168,365

Aspect-Normalized Out-of-Domain Configuration

Split #samples
Train 119,167
Validation 13,263
Test 625,911
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Models trained or fine-tuned on claritylab/utcd