lineID
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stringlengths 2
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| movieID
stringlengths 2
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| characterName
stringlengths 1
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⌀ | utterance
stringlengths 1
3.05k
⌀ |
---|---|---|---|---|
L1045 | u0 | m0 | BIANCA | They do not! |
L1044 | u2 | m0 | CAMERON | They do to! |
L985 | u0 | m0 | BIANCA | I hope so. |
L984 | u2 | m0 | CAMERON | She okay? |
L925 | u0 | m0 | BIANCA | Let's go. |
L924 | u2 | m0 | CAMERON | Wow |
L872 | u0 | m0 | BIANCA | Okay -- you're gonna need to learn how to lie. |
L871 | u2 | m0 | CAMERON | No |
L870 | u0 | m0 | BIANCA | I'm kidding. You know how sometimes you just become this "persona"? And you don't know how to quit? |
L869 | u0 | m0 | BIANCA | Like my fear of wearing pastels? |
L868 | u2 | m0 | CAMERON | The "real you". |
L867 | u0 | m0 | BIANCA | What good stuff? |
L866 | u2 | m0 | CAMERON | I figured you'd get to the good stuff eventually. |
L865 | u2 | m0 | CAMERON | Thank God! If I had to hear one more story about your coiffure... |
L864 | u0 | m0 | BIANCA | Me. This endless ...blonde babble. I'm like, boring myself. |
L863 | u2 | m0 | CAMERON | What crap? |
L862 | u0 | m0 | BIANCA | do you listen to this crap? |
L861 | u2 | m0 | CAMERON | No... |
L860 | u0 | m0 | BIANCA | Then Guillermo says, "If you go any lighter, you're gonna look like an extra on 90210." |
L699 | u2 | m0 | CAMERON | You always been this selfish? |
L698 | u0 | m0 | BIANCA | But |
L697 | u2 | m0 | CAMERON | Then that's all you had to say. |
L696 | u0 | m0 | BIANCA | Well, no... |
L695 | u2 | m0 | CAMERON | You never wanted to go out with 'me, did you? |
L694 | u0 | m0 | BIANCA | I was? |
L693 | u2 | m0 | CAMERON | I looked for you back at the party, but you always seemed to be "occupied". |
L663 | u0 | m0 | BIANCA | Tons |
L662 | u2 | m0 | CAMERON | Have fun tonight? |
L578 | u2 | m0 | CAMERON | I believe we share an art instructor |
L577 | u0 | m0 | BIANCA | You know Chastity? |
L576 | u2 | m0 | CAMERON | Looks like things worked out tonight, huh? |
L575 | u0 | m0 | BIANCA | Hi. |
L407 | u0 | m0 | BIANCA | Who knows? All I've ever heard her say is that she'd dip before dating a guy that smokes. |
L406 | u2 | m0 | CAMERON | So that's the kind of guy she likes? Pretty ones? |
L405 | u0 | m0 | BIANCA | Lesbian? No. I found a picture of Jared Leto in one of her drawers, so I'm pretty sure she's not harboring same-sex tendencies. |
L404 | u2 | m0 | CAMERON | She's not a... |
L403 | u2 | m0 | CAMERON | I'm workin' on it. But she doesn't seem to be goin' for him. |
L402 | u0 | m0 | BIANCA | I really, really, really wanna go, but I can't. Not unless my sister goes. |
L401 | u2 | m0 | CAMERON | Sure have. |
L368 | u0 | m0 | BIANCA | Eber's Deep Conditioner every two days. And I never, ever use a blowdryer without the diffuser attachment. |
L367 | u2 | m0 | CAMERON | How do you get your hair to look like that? |
L366 | u0 | m0 | BIANCA | You're sweet. |
L365 | u2 | m0 | CAMERON | You have my word. As a gentleman |
L364 | u0 | m0 | BIANCA | I counted on you to help my cause. You and that thug are obviously failing. Aren't we ever going on our date? |
L363 | u2 | m0 | CAMERON | You got something on your mind? |
L281 | u0 | m0 | BIANCA | Where? |
L280 | u2 | m0 | CAMERON | There. |
L277 | u2 | m0 | CAMERON | Well, there's someone I think might be -- |
L276 | u0 | m0 | BIANCA | How is our little Find the Wench A Date plan progressing? |
L275 | u0 | m0 | BIANCA | Forget French. |
L274 | u2 | m0 | CAMERON | That's because it's such a nice one. |
L273 | u0 | m0 | BIANCA | I don't want to know how to say that though. I want to know useful things. Like where the good stores are. How much does champagne cost? Stuff like Chat. I have never in my life had to point out my head to someone. |
L272 | u2 | m0 | CAMERON | Right. See? You're ready for the quiz. |
L271 | u0 | m0 | BIANCA | C'esc ma tete. This is my head |
L208 | u2 | m0 | CAMERON | Let me see what I can do. |
L207 | u0 | m0 | BIANCA | Gosh, if only we could find Kat a boyfriend... |
L206 | u2 | m0 | CAMERON | That's a shame. |
L205 | u0 | m0 | BIANCA | Unsolved mystery. She used to be really popular when she started high school, then it was just like she got sick of it or something. |
L204 | u2 | m0 | CAMERON | Why? |
L203 | u2 | m0 | CAMERON | Seems like she could get a date easy enough... |
L202 | u0 | m0 | BIANCA | The thing is, Cameron -- I'm at the mercy of a particularly hideous breed of loser. My sister. I can't date until she does. |
L201 | u2 | m0 | CAMERON | Cameron. |
L200 | u0 | m0 | BIANCA | No, no, it's my fault -- we didn't have a proper introduction --- |
L199 | u2 | m0 | CAMERON | Forget it. |
L198 | u0 | m0 | BIANCA | You're asking me out. That's so cute. What's your name again? |
L197 | u2 | m0 | CAMERON | Okay... then how 'bout we try out some French cuisine. Saturday? Night? |
L196 | u0 | m0 | BIANCA | Not the hacking and gagging and spitting part. Please. |
L195 | u2 | m0 | CAMERON | Well, I thought we'd start with pronunciation, if that's okay with you. |
L194 | u0 | m0 | BIANCA | Can we make this quick? Roxanne Korrine and Andrew Barrett are having an incredibly horrendous public break- up on the quad. Again. |
L953 | u0 | m0 | BIANCA | I did. |
L952 | u3 | m0 | CHASTITY | You think you ' re the only sophomore at the prom? |
L660 | u3 | m0 | CHASTITY | I don't have to be home 'til two. |
L659 | u0 | m0 | BIANCA | I have to be home in twenty minutes. |
L600 | u3 | m0 | CHASTITY | All I know is -- I'd give up my private line to go out with a guy like Joey. |
L599 | u0 | m0 | BIANCA | Sometimes I wonder if the guys we're supposed to want to go out with are the ones we actually want to go out with, you know? |
L598 | u3 | m0 | CHASTITY | Bianca, I don't think the highlights of dating Joey Dorsey are going to include door-opening and coat-holding. |
L597 | u0 | m0 | BIANCA | Combination. I don't know -- I thought he'd be different. More of a gentleman... |
L596 | u3 | m0 | CHASTITY | Is he oily or dry? |
L595 | u0 | m0 | BIANCA | He practically proposed when he found out we had the same dermatologist. I mean. Dr. Bonchowski is great an all, but he's not exactly relevant party conversation. |
L580 | u0 | m0 | BIANCA | Would you mind getting me a drink, Cameron? |
L579 | u3 | m0 | CHASTITY | Great |
L573 | u0 | m0 | BIANCA | Joey. |
L572 | u3 | m0 | CHASTITY | Who? |
L571 | u0 | m0 | BIANCA | Where did he go? He was just here. |
L51 | u0 | m0 | BIANCA | You might wanna think about it |
L50 | u3 | m0 | CHASTITY | No. |
L49 | u0 | m0 | BIANCA | Did you change your hair? |
L760 | u0 | m0 | BIANCA | You know the deal. I can ' t go if Kat doesn't go -- |
L759 | u4 | m0 | JOEY | Listen, I want to talk to you about the prom. |
L758 | u4 | m0 | JOEY | You're concentrating awfully hard considering it's gym class. |
L757 | u0 | m0 | BIANCA | Hi, Joey. |
L756 | u4 | m0 | JOEY | Hey, sweet cheeks. |
L593 | u4 | m0 | JOEY | My agent says I've got a good shot at being the Prada guy next year. |
L592 | u0 | m0 | BIANCA | Neat... |
L591 | u4 | m0 | JOEY | It's a gay cruise line, but I'll be, like, wearing a uniform and stuff. |
L590 | u0 | m0 | BIANCA | Queen Harry? |
L589 | u4 | m0 | JOEY | So yeah, I've got the Sears catalog thing going -- and the tube sock gig " that's gonna be huge. And then I'm up for an ad for Queen Harry next week. |
L397 | u0 | m0 | BIANCA | Hopefully. |
L396 | u4 | m0 | JOEY | Exactly So, you going to Bogey Lowenbrau's thing on Saturday? |
L395 | u0 | m0 | BIANCA | Expensive? |
Cornell Movie-Dialogs Corpus
Distributed together with:
"Chameleons in imagined conversations: A new approach to understanding coordination of linguistic style in dialogs" Cristian Danescu-Niculescu-Mizil and Lillian Lee Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, ACL 2011.
(this paper is included in this zip file)
NOTE: If you have results to report on these corpora, please send email to [email protected] or [email protected] so we can add you to our list of people using this data. Thanks!
Contents of this README:
A) Brief description
B) Files description
C) Details on the collection procedure
D) Contact
A) Brief description:
This corpus contains a metadata-rich collection of fictional conversations extracted from raw movie scripts:
- 220,579 conversational exchanges between 10,292 pairs of movie characters
- involves 9,035 characters from 617 movies
- in total 304,713 utterances
- movie metadata included:
- genres
- release year
- IMDB rating
- number of IMDB votes
- IMDB rating
- character metadata included:
- gender (for 3,774 characters)
- position on movie credits (3,321 characters)
B) Files description:
In all files the field separator is " +++$+++ "
movie_titles_metadata.txt
- contains information about each movie title
- fields:
- movieID,
- movie title,
- movie year,
- IMDB rating,
- no. IMDB votes,
- genres in the format ['genre1','genre2',�,'genreN']
movie_characters_metadata.txt
- contains information about each movie character
- fields:
- characterID
- character name
- movieID
- movie title
- gender ("?" for unlabeled cases)
- position in credits ("?" for unlabeled cases)
movie_lines.txt
- contains the actual text of each utterance
- fields:
- lineID
- characterID (who uttered this phrase)
- movieID
- character name
- text of the utterance
movie_conversations.txt
- the structure of the conversations
- fields
- characterID of the first character involved in the conversation
- characterID of the second character involved in the conversation
- movieID of the movie in which the conversation occurred
- list of the utterances that make the conversation, in chronological order: ['lineID1','lineID2',�,'lineIDN'] has to be matched with movie_lines.txt to reconstruct the actual content
raw_script_urls.txt
- the urls from which the raw sources were retrieved
C) Details on the collection procedure:
We started from raw publicly available movie scripts (sources acknowledged in raw_script_urls.txt). In order to collect the metadata necessary for this study and to distinguish between two script versions of the same movie, we automatically matched each script with an entry in movie database provided by IMDB (The Internet Movie Database; data interfaces available at http://www.imdb.com/interfaces). Some amount of manual correction was also involved. When more than one movie with the same title was found in IMBD, the match was made with the most popular title (the one that received most IMDB votes)
After discarding all movies that could not be matched or that had less than 5 IMDB votes, we were left with 617 unique titles with metadata including genre, release year, IMDB rating and no. of IMDB votes and cast distribution. We then identified the pairs of characters that interact and separated their conversations automatically using simple data processing heuristics. After discarding all pairs that exchanged less than 5 conversational exchanges there were 10,292 left, exchanging 220,579 conversational exchanges (304,713 utterances). After automatically matching the names of the 9,035 involved characters to the list of cast distribution, we used the gender of each interpreting actor to infer the fictional gender of a subset of 3,321 movie characters (we raised the number of gendered 3,774 characters through manual annotation). Similarly, we collected the end credit position of a subset of 3,321 characters as a proxy for their status.
D) Contact:
Please email any questions to: [email protected] (Cristian Danescu-Niculescu-Mizil)
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