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Oh my God, hes lost it. Hes totally lost it. | non-neutral |
What? | surprise |
Or! Or, we could go to the bank, close our accounts and cut them off at the source. | neutral |
Youre a genius! | joy |
Aww, man, now we wont be bank buddies! | sadness |
Now, theres two reasons. | neutral |
Hey. | neutral |
Hey! | joy |
Ohh, you guys, remember that cute client I told you about? I bit him. | neutral |
Where?! | surprise |
On the touchy. | neutral |
And | neutral |
No, I know! | surprise |
I-Im sorry, but the moment I touch him, I just wanna throw out my old oath and take a new, dirty one. | non-neutral |
Well, next time your massaging him, you should try and distract yourself. | neutral |
Yeah! Yeah! Yeah! Like-like when Im doing something exciting and I dont wanna get | joy |
Thank you, Joey. | neutral |
No-no, thank you. | neutral |
Hey Estelle, listen | neutral |
Well! Well! Well! Joey Tribbiani! So you came back huh? They | surprise |
What are you talkin about? I never left you! Youve always been my agent! | surprise |
Really?! | surprise |
Yeah! | joy |
Oh well, no harm, no foul. | neutral |
Okay, you guys free tonight? | neutral |
Yeah!! | joy |
Tonight? You-you didn't say it was going to be at nighttime. | surprise |
Yes? Yes?! How can I help you? | neutral |
Yeah, we were
we were just looking around. | neutral |
Oh-oh, youre-youre fellow scholars. | surprise |
What exactly were you looking for, hmm? | neutral |
Perhaps, perhaps Dr. Chester Stocks musings on the Smiledon Californicus? | neutral |
Uhh
. | neutral |
Ah
Ah
Get out of here! Uh, meeting someone? Or-or are you just here to brush up on Marions views on evolution? | non-neutral |
Uh, actually I find Marions views far too progressionist. | neutral |
I find Marions views far too progressionist. | neutral |
Im sorry, who are you? | surprise |
Im a professor here uh, Ross
Geller. | neutral |
Ross Geller, why do I know that name? Its uhWait! Did you write this? | surprise |
Yes! Youre the person who checked out my book?! | surprise |
Yknow, you look nothing like I wouldve thought. Youre
youre so young. | surprise |
Well I uh, I skipped forth grade. | neutral |
You had no right to tell me you ever had feelings for me. | anger |
What? | surprise |
I was doing great with Julie before I found out about you. | anger |
Hey, I was doin' great before I found out about you. You think it's easy for me to see you with Julie? | anger |
The point is I... | non-neutral |
I don't need this right now, OK. | anger |
It, it's too late, I'm with somebody else, I'm happy. | non-neutral |
This ship has sailed. | non-neutral |
Alright, fine, you go ahead and you do that, alright Ross. | non-neutral |
Fine. | anger |
'Cause I don't need your stupid ship. | anger |
Good. | anger |
Good. | anger |
Oh, it's so romantic to send people off on their honeymoon. | joy |
Yknow, Monica and Chandler are married. Ross and Rachel are having a baby. Maybe you and I should do something. | neutral |
All in good time my love. | neutral |
All in good time. | neutral |
Oh shoot! | surprise |
I left my guitar in their apartment. | non-neutral |
Well you can let me in later. | neutral |
I dont have a key, they took mine to give to you. | neutral |
What?! They took mine to give to you! | surprise |
Why would they take away our keys? | surprise |
Wow! It looks like we got a lot of good stuff. | joy |
Oh we did, but my mom got us the greatest gift of all. | joy |
A | neutral |
No. Shes going to live with us for eight weeks. | neutral |
Uh, what? | surprise |
Yes! Shes gonna help us take care of the baby! Woo-hoo. | joy |
WhatYoure not serious. | non-neutral |
I mean shes a very nice woman, but there is no way we can take eight weeks of her. | non-neutral |
Shell drive us totally crazy. | disgust |
Hi Ross! | joy |
Hi roomie! | joy |
Hey! What did you decide to do about the movie? | neutral |
I dont know! | neutral |
Its not like its porn! | neutral |
This is a serious, legitimate movie. | neutral |
Yknow? | neutral |
And the nudity is really important to the story. | neutral |
Thats what you say about porn. | neutral |
Youre right. Maybe I shouldnt even go on the call back. | neutral |
No! No you should! A lot of major actors do nude scenes! I mean, the chance to star in a movie? Come on! | non-neutral |
Well thats true. | neutral |
And I am only naked in one scene. | neutral |
Plus it sounds really great. | neutral |
My characters catholic and he falls in love with this Jewish girl. | neutral |
Who run away together and they get caught in this big rainstorm. | neutral |
So we go into this barn and undress each other and hold each other. | neutral |
Its really sweet and-and tender. | joy |
Hey, whats up? | neutral |
Nothing, Monica and I had a stupid fight. | sadness |
But youre still moving in together, right? Because my ad came out today. | neutral |
"Wanted. Female roommate, non-smoker, non-ugly." Nice! | joy |
Yeah? | neutral |
I just figured yknow, after living with you itd be an interesting change of pace to have a female roommate, yknow? | neutral |
Someone I can learn from, someone-someone whos different than me. | neutral |
And whats more different than me; a guy whos | neutral |
Dataset Card for friends_data
Dataset Summary
The Friends dataset consists of speech-based dialogue from the Friends TV sitcom. It is extracted from the SocialNLP EmotionX 2019 challenge.
Supported Tasks and Leaderboards
text-classification, sentiment-classification: The dataset is mainly used to predict a sentiment label given text input.
Languages
The utterances are in English.
Dataset Structure
Data Instances
A data point containing text and the corresponding label.
An example from the friends_dataset looks like this:
{ 'text': 'Well! Well! Well! Joey Tribbiani! So you came back huh?', 'label': 'surprise' }
Data Fields
The field includes a text column and a corresponding emotion label.
Dataset Creation
Curation Rationale
The dataset contains 1000 English-language dialogues originally in JSON files. The JSON file contains an array of dialogue objects. Each dialogue object is an array of line objects, and each line object contains speaker, utterance, emotion, and annotation strings. { "speaker": "Chandler", "utterance": "My duties? All right.", "emotion": "surprise", "annotation": "2000030" }
Utterance and emotion were extracted from the original files into a CSV file. The dataset was cleaned to remove non-neutral labels. This dataset was created to be used in fine-tuning an emotion sentiment classifier that can be useful to teach individuals with autism how to read facial expressions.
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