Indiscriminate Identity Coreference
Collection
Datasets transformed into indiscriminate clustering of continuous textual spans. • 15 items • Updated
• 1
sentences listlengths 1 94 | coref_chains sequencelengths 0 136 | id stringlengths 10 10 | text stringlengths 24 4.56k | genre stringclasses 2 values | meta_data dict |
|---|---|---|---|---|---|
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... | s01e01c00t | If a photon is directed through a plane with two slits in it and either is observed it will not go through both . If unobserved, it will . If it's observed after it left the plane, before it hits its target...it will not have gone through both slits. Agreed . What's your point? There's no point, I just think it's a good idea for a T - shirt. Excuse me. Hang on. One across is Aegean, eight down is Nabokov . Twenty - six across is MCM . Fourteen down is...Move your finger . phylum, which makes 14 across Port - Au - Prince . See, Papa Doc's capital idea, that's Port - Au - Prince . Haiti. Can I help you? Yes . Um, is this the high - IQ sperm bank? If you have to ask, maybe you shouldn't be here. I think this is the place. Fill these out. Thank you . We'll be right back. Oh, take your time . I'll just finish my crossword puzzle . Oh, wait. Leonard, I don't think I can do this. What, are you kidding? You're a semipro. No . We are committing genetic fraud . There's no guarantee our sperm's going to generate high - IQ offspring . Think about that . I have a sister with the same basic DNA mix who hostesses at Fuddruckers. Sheldon, this was your idea . A little extra money to get fractional T1 bandwidth in the apartment? I know . And I do yearn for faster downloads . There's some poor woman who's gonna pin her hopes on my sperm . What if she winds up with a toddler who doesn't know if he should use a differential to solve for the area under a curve? I'm sure she'll still love him. I wouldn't. Well, what do you wanna do? I want to leave. What's the protocol for leaving? I don't know . I've never reneged on a proffer of sperm before. Let's try just walking out. Okay. Bye. Bye - bye See you. | tv_the_big_bang_theory | {
"comment": "detokenizer=nltk"
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[
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"parse_tree": "(ROOT (SQ (VBP Are) (NP (PRP you)) (ADVP (RB still)) (ADJP (JJ mad) (PP (IN about) (NP (DT the) (NN sperm) (NN bank)))) (. ?)))"
},
"speaker": "Sheldon",
"text": "Are you still mad about the sperm bank?",
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{
"deprel": "cop",
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... | s01e01c01t | Are you still mad about the sperm bank? No. You wanna hear an interesting thing about stairs? Not really. If the height of a step is off by as little as two millimeters...most people will trip. I don't care . Two millime ...? That doesn't seem right. It's true . I did a series of experiments when I was 12 . My father broke his clavicle. Is that why they sent you to boarding school? That was the result of my work with lasers. New neighbor? Evidently. Significant improvement over the old neighbor. Two - hundred pound transvestite with a skin condition? Yes, she is. Oh, hi. Hi. Hi. Hi? We don't mean to interrupt . We live across the hall. Oh, that's nice. No . We don't live together . I mean we live together, but in separate, heterosexual bedrooms. Okay, well, guess I'm your new neighbor. Leonard . Sheldon. Hi. Hi. Hi. Well...Oh, welcome to the building. Thankyou, maybe we can have coffee sometime. Oh, great. Great. Great. Great . Well, bye. Bye. Bye. Bye. Should we have invited her for lunch? We're gonna start season two of Battlestar Galactica. We already watched the season two DVDs. Not with commentary. I think we should be good neighbors . Invite her over, make her feel welcome. We never invited Louie / Louise over. Well, and that was wrong of us . We need to widen our circle. I have a very wide circle . I have 212 friends on MySpace. Yes, and you've never met one of them. That's the beauty of it. I'm gonna invite her over . We'll have a nice meal and chat. Chat? We don't chat, at least not off - line. Well, it's not difficult . You just listen to what she says and then you say something appropriate in response. To what end? Hi . Again. Hi. Hi. Hi. Hi . Anyway we brought home Indian food and I know that moving can be stressful and I find that when I'm undergoing stress that good food and company can have a comforting effect . Also, curry's a natural laxative and I don't have to tell you that, you know a clean colon is just one less thing to worry about. I'm no expert, but in the context of a lunch invitation you might wanna skip the reference to bowel movements. Oh, you're inviting me over to eat? Uh, yes. Oh, that's so nice . I'd love to. Great. So, what do you guys do for fun around here? Well, today we tried masturbating for money. | tv_the_big_bang_theory | {
"comment": "detokenizer=nltk"
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[{"id":1,"misc":{"parse_tree":"(ROOT (S (S (ADVP (DT All) (RB right)) (, ,) (NP (EX there)) (NP (PRP(...TRUNCATED) | [[[0,4,4],[0,7,7]],[[0,10,10],[3,2,2],[3,0,2],[5,7,7],[6,5,5],[6,9,9],[7,4,4],[8,2,2],[9,10,11]],[[2(...TRUNCATED) | s01e01c03t | "All right, there it goes . It sticks, I'm sorry. Okay, thanks. You're welcome . Oh, you're just gon(...TRUNCATED) | tv_the_big_bang_theory | {
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[{"id":1,"misc":{"parse_tree":"(ROOT (S (NP (PRP I)) (ADVP (RB really)) (VP (VBP think) (SBAR (S (NP(...TRUNCATED) | [[[0,0,0],[3,9,9],[7,7,7],[8,0,0],[9,3,3],[10,2,2],[15,2,2]],[[0,3,3]],[[0,6,7]],[[0,9,9]],[[1,1,1],(...TRUNCATED) | s01e01c04t | "I really think we should examine the chain of causality here. Must we? Event A: A beautiful woman s(...TRUNCATED) | tv_the_big_bang_theory | {
"comment": "detokenizer=nltk"
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[{"id":1,"misc":{"parse_tree":"(ROOT (S (RB So) (NP (PRP you) (NNS guys)) (VP (VBP work) (PP (IN wit(...TRUNCATED) | [[[0,1,1]],[[0,1,2],[1,5,5],[2,2,2],[2,6,6],[4,0,0],[4,4,5],[4,2,5]],[[0,5,5]],[[0,7,7]],[[0,5,7]],[(...TRUNCATED) | s01e01c05t | "So you guys work with Leonard and Sheldon at the university? I'm sorry, do you speak English? Oh, h(...TRUNCATED) | tv_the_big_bang_theory | {
"comment": "detokenizer=nltk"
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[{"id":1,"misc":{"parse_tree":"(ROOT (S (NP (PRP I)) (VP (MD 'll) (VP (VB do) (NP (DT the) (NN talki(...TRUNCATED) | [[[0,0,0],[2,2,2],[2,4,4],[4,2,2],[8,0,0],[9,1,1],[9,11,11],[10,5,5],[11,7,7],[13,2,2]],[[0,3,4]],[[(...TRUNCATED) | s01e01c06t | "I'll do the talking. Yeah? Hi . I'm Leonard, this is Sheldon. Hello. What did I just ...? We're her(...TRUNCATED) | tv_the_big_bang_theory | {
"comment": "detokenizer=nltk"
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[{"id":1,"misc":{"parse_tree":"(ROOT (S (S (NP (DT This)) (VP (VBZ is) (NP (PRP it)))) (. .) (S (NP (...TRUNCATED) | [[[0,0,0],[0,2,2]],[[0,4,4],[3,0,0],[3,2,2]],[[0,7,8]],[[1,3,3],[3,4,4],[3,6,6]],[[1,7,8]],[[4,1,2]](...TRUNCATED) | s01e01c07t | "This is it . I'll do the talking. Good thinking, I'll just be the muscle. Yeah? I'm Leonard, this i(...TRUNCATED) | tv_the_big_bang_theory | {
"comment": "detokenizer=nltk"
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[{"id":1,"misc":{"parse_tree":"(ROOT (NP (NNP Leonard) (. .)))"},"speaker":"Sheldon","text":"Leonard(...TRUNCATED) | [
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... | s01e01c08t | Leonard. What? My mom bought me those pants. I ’m sorry. You're gonna have to call her. | tv_the_big_bang_theory | {
"comment": "detokenizer=nltk"
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[{"id":1,"misc":{"parse_tree":"(ROOT (S (NP (NNP Sheldon)) (, ,) (NP (PRP I)) (VP (VBP am) (ADJP (RB(...TRUNCATED) | [[[0,0,0],[0,8,8]],[[0,2,2],[0,6,6],[2,5,5],[2,8,8],[3,2,2],[4,2,2],[4,5,5],[4,12,12],[4,15,15],[4,2(...TRUNCATED) | s01e01c09t | "Sheldon, I am so sorry I dragged you through this. It's okay . It wasn't my first pantsing and it w(...TRUNCATED) | tv_the_big_bang_theory | {
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[{"id":1,"misc":{"parse_tree":"(ROOT (S (S (NP (DT This)) (VP (VBZ is) (NP (NP (CD one)) (PP (IN of)(...TRUNCATED) | [[[0,0,0],[0,4,6],[0,14,14]],[[0,4,4],[2,2,2]],[[0,11,12]],[[0,16,19]],[[1,3,3],[2,5,5],[2,10,10],[2(...TRUNCATED) | s01e01c10t | "This is one of my favorite places to kick back after a quest . They have a great house ale. Wow, co(...TRUNCATED) | tv_the_big_bang_theory | {
"comment": "detokenizer=nltk"
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End of preview. Expand
in Data Studio
This dataset was generated by reformatting coref-data/mmc_raw into the indiscrim coreference format. See that repo for dataset details.
See ianporada/coref-data for additional conversion details and the conversion script.
Please create an issue in the repo above or in this dataset repo for any questions.
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Size of downloaded dataset files:
19.7 MB
Size of the auto-converted Parquet files:
19.7 MB
Number of rows:
6,086