dialogue stringclasses 18
values | summary stringlengths 12 514 | gold_tags stringlengths 9 201 | query stringlengths 3.38k 5.71k | gpt_success bool 1
class | gpt_response stringlengths 39 829 | gold_tags_tokens_count int64 5 101 | GPT_OUTPUT_FOUND bool 1
class | gpt_output_tags stringlengths 9 201 | gpt_output_tag_tokens int64 5 101 | summary_gpt_tags_token_count_match bool 2
classes | gpt_output_token_count int64 5 101 | gpt_output_tag_count int64 5 101 | summary_gpt_token_count_match bool 2
classes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ethan : somethin for Scott <file_photo> Toby : haha , totally Marshall : pretty much sums it up Scott : you know you're exactly fuckin the same Toby : oh we know honey bunny Marshall : we just enjoy making fun of YOU Ethan : xD Scott : oh fuck y'all Toby : <file_gif> | Ethan and Marshall enjoy making fun of Scott . | O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Ethan(O) and(O) Marshall(O) enjoy(O) making(O) fun(O) of(O) Scott(O) .(O) <EOS>(M) | 10 | true | O O O O O O O O O M | 10 | true | 10 | 10 | true |
Ethan : somethin for Scott <file_photo> Toby : haha , totally Marshall : pretty much sums it up Scott : you know you're exactly fuckin the same Toby : oh we know honey bunny Marshall : we just enjoy making fun of YOU Ethan : xD Scott : oh fuck y'all Toby : <file_gif> | Ethan and Toby are making fun of Scott . | O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Ethan(O) and(O) Toby(O) are(O) making(O) fun(O) of(O) Scott(O) .(O) <EOS>(M) | 10 | true | O O O O O O O O O M | 10 | true | 10 | 10 | true |
Igor : Shit , I've got so much to do at work and I'm so demotivated . John : It's pretty irresponsible to give that much work to someone on their notice period . Igor : Yeah , exactly ! Should I even care ? John : It's up to you , but you know what they say . . . Igor : What do you mean ? John : Well , they say how you... | Igor has a lot of work to do at work . He's on notice and has to do it fast , because there's only two weeks left . | O O O O O O O O O O O O O O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Igor(O) has(O) a(O) lot(O) of(O) work(O) to(O) do(O) at(O) work(O) .(O) He's(O) on(O) notice(O) and(O) has(O) to(O) do(O) it(O) fast(C) ,(O) because(O) there's(O) only(O) two(O) weeks(O) left(O) .(O) <EOS>(M) | 29 | true | O O O O O O O O O O O O O O O O O O O C O O O O O O O O M | 29 | true | 29 | 29 | true |
Igor : Shit , I've got so much to do at work and I'm so demotivated . John : It's pretty irresponsible to give that much work to someone on their notice period . Igor : Yeah , exactly ! Should I even care ? John : It's up to you , but you know what they say . . . Igor : What do you mean ? John : Well , they say how you... | Igor has only two weeks left before he has to leave the job . John tells Igor to "grit his teeth" and "start doing" as it's only two weeks left . | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Igor(O) has(O) only(O) two(O) weeks(O) left(O) before(O) he(O) has(O) to(O) leave(O) the(O) job(O) .(O) John(O) tells(O) Igor(O) to(O) "grit(O) his(O) teeth"(O) and(O) "start(O) doing"(O) as(O) it's(O) only(O) two(O) weeks(O) left(O) .(O) <EOS>(O) | 32 | true | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O | 32 | true | 32 | 32 | true |
Igor : Shit , I've got so much to do at work and I'm so demotivated . John : It's pretty irresponsible to give that much work to someone on their notice period . Igor : Yeah , exactly ! Should I even care ? John : It's up to you , but you know what they say . . . Igor : What do you mean ? John : Well , they say how you... | Igor is demotivated at work , because he has a lot of work to do . John advises him to start now . | O O O O O O O O O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Igor(O) is(O) demotivated(O) at(O) work(O) ,(O) because(O) he(O) has(O) a(O) lot(O) of(O) work(O) to(O) do(O) .(O) John(O) advises(O) him(O) to(O) start(O) now(O) .(O) <EOS>(M) | 24 | true | O O O O O O O O O O O O O O O O O O O O O O O M | 24 | true | 24 | 24 | true |
Igor : Shit , I've got so much to do at work and I'm so demotivated . John : It's pretty irresponsible to give that much work to someone on their notice period . Igor : Yeah , exactly ! Should I even care ? John : It's up to you , but you know what they say . . . Igor : What do you mean ? John : Well , they say how you... | Adam is giving Igor too much work on his notice period . John advises Igor to grit his teeth and do what he has to do . | W O O O O O O O O O O O O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Adam(W) is(O) giving(O) Igor(O) too(O) much(O) work(O) on(O) his(O) notice(O) period(O) .(O) John(O) advises(O) Igor(O) to(O) grit(O) his(O) teeth(O) and(O) do(O) what(O) he(O) has(O) to(O) do(O) .(O) <EOS>(M) | 28 | true | W O O O O O O O O O O O O O O O O O O O O O O O O O O M | 28 | true | 28 | 28 | true |
Igor : Shit , I've got so much to do at work and I'm so demotivated . John : It's pretty irresponsible to give that much work to someone on their notice period . Igor : Yeah , exactly ! Should I even care ? John : It's up to you , but you know what they say . . . Igor : What do you mean ? John : Well , they say how you... | Igor has a lot to do at work and he's demotivated . John advises Igor to grit his teeth and do what he has to do . | O O O O O O O O O O O O O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Igor(O) has(O) a(O) lot(O) to(O) do(O) at(O) work(O) and(O) he's(O) demotivated(O) .(O) John(O) advises(O) Igor(O) to(O) grit(O) his(O) teeth(O) and(O) do(O) what(O) he(O) has(O) to(O) do(O) .(O) <EOS>(O) | 28 | true | O O O O O O O O O O O O O O O O O O O O O O O O O O O O | 28 | true | 28 | 28 | true |
Igor : Shit , I've got so much to do at work and I'm so demotivated . John : It's pretty irresponsible to give that much work to someone on their notice period . Igor : Yeah , exactly ! Should I even care ? John : It's up to you , but you know what they say . . . Igor : What do you mean ? John : Well , they say how you... | Igor has a lot of work to do at work . He has two weeks left of notice , but he's not motivated to do it . | O O O O O O O O O O O O O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Igor(O) has(O) a(O) lot(O) of(O) work(O) to(O) do(O) at(O) work(O) .(O) He(O) has(O) two(O) weeks(O) left(O) of(O) notice(O) ,(O) but(O) he's(O) not(O) motivated(O) to(O) do(O) it(O) .(O) <EOS>(M) | 28 | true | O O O O O O O O O O O O O O O O O O O O O O O O O O O M | 28 | true | 28 | 28 | true |
Clara : Hi , what you up to ? Neela : Not much , chilling out . Clara : Just rewatching Dear White People on Netflix , love it ! 棣冩 Neela : Oh yeah , heard of it , but not seen it yet ? Any good ? Clara : Well , yes ! I just said it was , LOL . It's about a fictional Ivy League University and the students in one House... | Clara is rewatching Dear White People on Netflix . Clara likes the stories from the perspectives of black students in the Ivy League University . Clara is looking forward to the series 3 coming up next year . Neela is watching a movie now . | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Clara(O) is(O) rewatching(O) Dear(O) White(O) People(O) on(O) Netflix(O) .(O) Clara(O) likes(O) the(O) stories(O) from(O) the(O) perspectives(O) of(O) black(O) students(O) in(O) the(O) Ivy(O) League(O) University(O) .(O) Clara(O) is(O) looking(O) forward(O) to(O) the(O) series(O) 3(O) coming(O) up(O) next(O) year... | 46 | true | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O M | 46 | true | 46 | 46 | true |
Clara : Hi , what you up to ? Neela : Not much , chilling out . Clara : Just rewatching Dear White People on Netflix , love it ! 棣冩 Neela : Oh yeah , heard of it , but not seen it yet ? Any good ? Clara : Well , yes ! I just said it was , LOL . It's about a fictional Ivy League University and the students in one House... | Clara recommends Dear White People to Neela . It's about a fictional Ivy League University and the students in one House of Residence . There's a Blackface party held by an elite group of white students , which gets out of hand . There's also an incident where one guy , Reggie , gets a loaded gun pointed at him by a ca... | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Clara(O) recommends(O) Dear(O) White(O) People(O) to(O) Neela(O) .(O) It's(O) about(O) a(O) fictional(O) Ivy(O) League(O) University(O) and(O) the(O) students(O) in(O) one(O) House(O) of(O) Residence(O) .(O) There's(O) a(O) Blackface(O) party(O) held(O) by(O) an(O) elite(O) group(O) of(O) white(O) students(O) ,(O... | 101 | true | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O | 101 | true | 101 | 101 | true |
Clara : Hi , what you up to ? Neela : Not much , chilling out . Clara : Just rewatching Dear White People on Netflix , love it ! 棣冩 Neela : Oh yeah , heard of it , but not seen it yet ? Any good ? Clara : Well , yes ! I just said it was , LOL . It's about a fictional Ivy League University and the students in one House... | Dear White People is about a fictional Ivy League University and the students in one House of Residence . Clara and Neela are watching a radio show called Dear White People . The main character , Sam , presents on college radio . | O O O O O O O O O O O O O O O O O O O O W W N C O C O O O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Dear(O) White(O) People(O) is(O) about(O) a(O) fictional(O) Ivy(O) League(O) University(O) and(O) the(O) students(O) in(O) one(O) House(O) of(O) Residence(O) .(O) Clara(O) and(O) Neela(O) are(W) watching(W) a(W) radio(W) show(W) called(O) Dear(O) White(O) People(O) .(O) The(O) main(O) character(O) ,(O) Sam(O) ,(O... | 44 | true | O O O O O O O O O O O O O O O O O O O O O O W W W W W O O O O O O O O O O O O O O O O M | 44 | true | 44 | 44 | true |
Clara : Hi , what you up to ? Neela : Not much , chilling out . Clara : Just rewatching Dear White People on Netflix , love it ! 棣冩 Neela : Oh yeah , heard of it , but not seen it yet ? Any good ? Clara : Well , yes ! I just said it was , LOL . It's about a fictional Ivy League University and the students in one House... | Clara is watching Dear White People on Netflix . It's about a fictional Ivy League University and the students in one House of Residence . There are mainly stories from the perspective of black students there . There is a Blackface party held by an elite group of white students . There's a loaded gun pointed at Reggie ... | O O C O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Clara(O) is(O) watching(O) Dear(O) White(O) People(O) on(O) Netflix(O) .(O) It's(O) about(O) a(O) fictional(O) Ivy(O) League(O) University(O) and(O) the(O) students(O) in(O) one(O) House(O) of(O) Residence(O) .(O) There(O) are(O) mainly(O) stories(O) from(O) the(O) perspective(O) of(O) black(O) students(O) there(... | 91 | true | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O | 91 | true | 91 | 91 | true |
Clara : Hi , what you up to ? Neela : Not much , chilling out . Clara : Just rewatching Dear White People on Netflix , love it ! 棣冩 Neela : Oh yeah , heard of it , but not seen it yet ? Any good ? Clara : Well , yes ! I just said it was , LOL . It's about a fictional Ivy League University and the students in one House... | Clara is watching Dear White People on Netflix . It's about a fictional Ivy League University and the students in one House of residence . It's mainly stories from the perspective of black students there . There's a Blackface party held by an elite group of white students . Reggie gets a loaded gun pointed at him by a ... | O O C O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Clara(O) is(O) watching(O) Dear(O) White(O) People(O) on(O) Netflix(O) .(O) It's(O) about(O) a(O) fictional(O) Ivy(O) League(O) University(O) and(O) the(O) students(O) in(O) one(O) House(O) of(O) residence(O) .(O) It's(O) mainly(O) stories(O) from(O) the(O) perspective(O) of(O) black(O) students(O) there(O) .(O) ... | 80 | true | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O M | 80 | true | 80 | 80 | true |
Clara : Hi , what you up to ? Neela : Not much , chilling out . Clara : Just rewatching Dear White People on Netflix , love it ! 棣冩 Neela : Oh yeah , heard of it , but not seen it yet ? Any good ? Clara : Well , yes ! I just said it was , LOL . It's about a fictional Ivy League University and the students in one House... | Clara is watching Dear White People on Netflix . Neela is watching a movie . Clara recommends it to Neela . | O O C O O O O O O O O O O O O O O O O O O O |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Clara(O) is(O) watching(O) Dear(O) White(O) People(O) on(O) Netflix(O) .(O) Neela(O) is(O) watching(O) a(O) movie(O) .(O) Clara(O) recommends(O) it(O) to(O) Neela(O) .(O) <EOS>(M) | 22 | true | O O O O O O O O O O O O O O O O O O O O O M | 22 | true | 22 | 22 | true |
Ernest : hey Mike , did you park your car on our street ? Mike : no , took it into garage today Ernest : ok good Mike : why ? Ernest : someone just crashed into a red honda looking just like yours Mike : lol lucky me | Mike took his car to the garage today . Someone crashed into his car . | O O O O O O O O O O O O C O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Mike(O) took(O) his(O) car(O) to(O) the(O) garage(O) today(O) .(O) Someone(W) crashed(W) into(W) his(W) car(W) .(W) <EOS>(M) | 16 | true | O O O O O O O O O W W W W W W M | 16 | true | 16 | 16 | true |
Ernest : hey Mike , did you park your car on our street ? Mike : no , took it into garage today Ernest : ok good Mike : why ? Ernest : someone just crashed into a red honda looking just like yours Mike : lol lucky me | Mike parked his car on Ernest's street today . Mike crashed into a red honda . | W O O O O O O O O W O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Mike(W) parked(W) his(W) car(W) on(W) Ernest's(W) street(W) today(W) .(O) Mike(W) crashed(W) into(W) a(W) red(W) honda(W) .(O) <EOS>(M) | 17 | true | W W W W W W W W O W W W W W W O M | 17 | true | 17 | 17 | true |
Ernest : hey Mike , did you park your car on our street ? Mike : no , took it into garage today Ernest : ok good Mike : why ? Ernest : someone just crashed into a red honda looking just like yours Mike : lol lucky me | Mike took his car to the garage today . Someone crashed into a red Honda just like Mike's . | O O O O O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Mike(O) took(O) his(O) car(O) to(O) the(O) garage(O) today(O) .(O) Someone(O) crashed(O) into(O) a(O) red(O) Honda(O) just(O) like(O) Mike's(O) .(O) <EOS>(O) | 20 | true | O O O O O O O O O O O O O O O O O O O O | 20 | true | 20 | 20 | true |
Ernest : hey Mike , did you park your car on our street ? Mike : no , took it into garage today Ernest : ok good Mike : why ? Ernest : someone just crashed into a red honda looking just like yours Mike : lol lucky me | Mike's car has been damaged beyond repair after being hit by another car . | W O O O O C C O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Mike's(W) car(O) has(O) been(O) damaged(O) beyond(C) repair(C) after(O) being(O) hit(O) by(O) another(O) car(O) .(O) <EOS>(M) | 15 | true | W O O O O C C O O O O O O O M | 15 | true | 15 | 15 | true |
Ernest : hey Mike , did you park your car on our street ? Mike : no , took it into garage today Ernest : ok good Mike : why ? Ernest : someone just crashed into a red honda looking just like yours Mike : lol lucky me | took his car into the garage today . Someone crashed into his red Honda . | O O O O O O O O O O O C O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: took(O) his(O) car(O) into(O) the(O) garage(O) today(O) .(O) Someone(O) crashed(O) into(O) his(O) red(O) Honda(O) .(O) <EOS>(M) | 16 | true | O O O O O O O O O O O O O O O M | 16 | true | 16 | 16 | true |
Ernest : hey Mike , did you park your car on our street ? Mike : no , took it into garage today Ernest : ok good Mike : why ? Ernest : someone just crashed into a red honda looking just like yours Mike : lol lucky me | Mike took his car to the garage today because it had been hit by another car . | O O O O O O O O C W N N O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Mike(O) took(O) his(O) car(O) to(O) the(O) garage(O) today(O) because(C) it(C) had(C) been(C) hit(C) by(C) another(C) car(C) .(O) <EOS>(M) | 18 | true | O O O O O O O O C C C C C C C C O M | 18 | true | 18 | 18 | true |
Deirdre : Hi Beth , how are you love ? Beth : Hi Auntie Deirdre , I'm been meaning to message you , had a favour to ask . Deirdre : Wondered if you had any thought about your Mum's 40th , we've got to do something special ! Beth : How about a girls weekend , just mum , me , you and the girls , Kira will have to come ba... | Beth wants to try work experience in a salon as she's 16 and struggling with foundation papers . Deirdre will give Beth tenner or so per session . | O O O O O O O O O O O N O O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Beth(O) wants(O) to(O) try(O) work(O) experience(O) in(O) a(O) salon(O) as(O) she's(O) 16(O) and(O) struggling(O) with(O) foundation(O) papers(O) .(O) Deirdre(O) will(O) give(O) Beth(O) tenner(O) or(O) so(O) per(O) session(O) .(O) <EOS>(M) | 29 | true | O O O O O O O O O O O O O O O O O O O O O O O O O O O O M | 29 | true | 29 | 29 | true |
Deirdre : Hi Beth , how are you love ? Beth : Hi Auntie Deirdre , I'm been meaning to message you , had a favour to ask . Deirdre : Wondered if you had any thought about your Mum's 40th , we've got to do something special ! Beth : How about a girls weekend , just mum , me , you and the girls , Kira will have to come ba... | Beth wants to do something special for her mum's 40th birthday . Beth and Deirdre had a surprise party for Beth . Deirdre is looking for Saturday girls to try the beauty therapy side . Beth will pop in tomorrow after school . Deirdre will give her a tenner for a few hours on a Saturday for a couple of weeks as work exp... | O O O O O O O O O O O O O O O N O O O O W O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Beth(O) wants(O) to(O) do(O) something(O) special(O) for(O) her(O) mum's(O) 40th(O) birthday(O) .(O) Beth(O) and(O) Deirdre(O) had(O) a(O) surprise(O) party(O) for(O) Beth(W) .(O) Deirdre(O) is(O) looking(O) for(O) Saturday(O) girls(O) to(O) try(O) the(O) beauty(O) therapy(O) side(O) .(O) Beth(O) will(O) pop(O) i... | 66 | true | O O O O O O O O O O O O O O O O O O O O W O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O | 66 | true | 66 | 66 | true |
Deirdre : Hi Beth , how are you love ? Beth : Hi Auntie Deirdre , I'm been meaning to message you , had a favour to ask . Deirdre : Wondered if you had any thought about your Mum's 40th , we've got to do something special ! Beth : How about a girls weekend , just mum , me , you and the girls , Kira will have to come ba... | Mum's 40th is in 6 weeks . Beth , mum , Deirdre and Kira will have a girls weekend together . Beth would like to try a few hours of work experience in the beauty therapy side . | W O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Mum's(O) 40th(O) is(O) in(O) 6(O) weeks(O) .(O) Beth(O) ,(O) mum(O) ,(O) Deirdre(O) and(O) Kira(O) will(O) have(O) a(O) girls(O) weekend(O) together(O) .(O) Beth(O) would(O) like(O) to(O) try(O) a(O) few(O) hours(O) of(O) work(O) experience(O) in(O) the(O) beauty(O) therapy(O) side(O) .(O) <EOS>(M) | 39 | true | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O M | 39 | true | 39 | 39 | true |
Deirdre : Hi Beth , how are you love ? Beth : Hi Auntie Deirdre , I'm been meaning to message you , had a favour to ask . Deirdre : Wondered if you had any thought about your Mum's 40th , we've got to do something special ! Beth : How about a girls weekend , just mum , me , you and the girls , Kira will have to come ba... | Beth wants to work in a beauty salon as a work experience . Deirdre will meet her tomorrow after school to discuss it . | O O O O O O O O O O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Beth(O) wants(O) to(O) work(O) in(O) a(O) beauty(O) salon(O) as(O) a(O) work(O) experience(O) .(O) Deirdre(O) will(O) meet(O) her(O) tomorrow(O) after(O) school(O) to(O) discuss(O) it(O) .(O) <EOS>(O) | 25 | true | O O O O O O O O O O O O O O O O O O O O O O O O O | 25 | true | 25 | 25 | true |
Deirdre : Hi Beth , how are you love ? Beth : Hi Auntie Deirdre , I'm been meaning to message you , had a favour to ask . Deirdre : Wondered if you had any thought about your Mum's 40th , we've got to do something special ! Beth : How about a girls weekend , just mum , me , you and the girls , Kira will have to come ba... | Deirdre is looking for Saturday girls for Beth's Mum's 40th birthday . Beth is 16 soon , she's old enough to work . Deirdre will give Beth a tenner per session for a couple of weeks as work experience . Beth will meet Maxine tomorrow after school . | O O O O O O O C C C C O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O W O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Deirdre(O) is(O) looking(O) for(O) Saturday(O) girls(O) for(C) Beth's(O) Mum's(C) 40th(C) birthday(C) .(O) Beth(O) is(O) 16(O) soon(O) ,(O) she's(O) old(O) enough(O) to(O) work(O) .(O) Deirdre(O) will(O) give(O) Beth(O) a(O) tenner(O) per(O) session(O) for(O) a(O) couple(O) of(O) weeks(O) as(O) work(O) experience... | 49 | true | O O O O O O C O C C C O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O M | 49 | true | 49 | 49 | true |
Deirdre : Hi Beth , how are you love ? Beth : Hi Auntie Deirdre , I'm been meaning to message you , had a favour to ask . Deirdre : Wondered if you had any thought about your Mum's 40th , we've got to do something special ! Beth : How about a girls weekend , just mum , me , you and the girls , Kira will have to come ba... | Beth's mum is celebrating her 40th birthday in 6 weeks . Deirdre is looking for a girl to work in the salon . Beth is 16 and wants to try a bit of work experience in the salon . Deirdre will give Beth a tenner per session to start off . | O O O O O O O O O O O O O O O O O O O O O O O O O N O O O O O O O O O O O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Beth's(O) mum(O) is(O) celebrating(O) her(O) 40th(O) birthday(O) in(O) 6(O) weeks(O) .(O) Deirdre(O) is(O) looking(O) for(O) a(O) girl(O) to(O) work(O) in(O) the(O) salon(O) .(O) Beth(O) is(O) 16(O) and(O) wants(O) to(O) try(O) a(O) bit(O) of(O) work(O) experience(O) in(O) the(O) salon(O) .(O) Deirdre(O) will(O) ... | 52 | true | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O M | 52 | true | 52 | 52 | true |
Gloria : This exam is a bit of a lottery in fact Gloria : You can't really get prepared , it's all about experience Emma : But there are some rules and some typical texts right ? Gloria : You can see some texts from previous years Gloria : <file_other> Emma : Wow that's very useful Emma : I have never seen this site Gl... | This exam is a lottery . Gloria is going to read all the texts from previous years . | O O O O O O W O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: This(O) exam(O) is(O) a(O) lottery(O) .(O) Gloria(O) is(O) going(W) to(O) read(O) all(O) the(O) texts(O) from(O) previous(O) years(O) .(O) <EOS>(M) | 19 | true | O O O O O O O O W O O O O O O O O O M | 19 | true | 19 | 19 | true |
Gloria : This exam is a bit of a lottery in fact Gloria : You can't really get prepared , it's all about experience Emma : But there are some rules and some typical texts right ? Gloria : You can see some texts from previous years Gloria : <file_other> Emma : Wow that's very useful Emma : I have never seen this site Gl... | Gloria has an exam in 4 hours . There are some rules and texts from previous years . Gloria sends Emma a link to a website where she can find out more about the exam . Emma is going to read the website . | O O O O C O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Gloria(O) has(O) an(O) exam(O) in(O) 4(O) hours(O) .(O) There(O) are(O) some(O) rules(O) and(O) texts(O) from(O) previous(O) years(O) .(O) Gloria(O) sends(O) Emma(O) a(O) link(O) to(O) a(O) website(O) where(O) she(O) can(O) find(O) out(O) more(O) about(O) the(O) exam(O) .(O) Emma(O) is(O) going(O) to(O) read(O) t... | 45 | true | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O M | 45 | true | 45 | 45 | true |
Gloria : This exam is a bit of a lottery in fact Gloria : You can't really get prepared , it's all about experience Emma : But there are some rules and some typical texts right ? Gloria : You can see some texts from previous years Gloria : <file_other> Emma : Wow that's very useful Emma : I have never seen this site Gl... | Gloria sends Emma a website with information about the exam . The exam is 4 hours long with no breaks . | O O O O O O O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Gloria(O) sends(O) Emma(O) a(O) website(O) with(O) information(O) about(O) the(O) exam(O) .(O) The(O) exam(O) is(O) 4(O) hours(O) long(O) with(O) no(O) breaks(O) .(O) <EOS>(O) | 22 | true | O O O O O O O O O O O O O O O O O O O O O O | 22 | true | 22 | 22 | true |
Gloria : This exam is a bit of a lottery in fact Gloria : You can't really get prepared , it's all about experience Emma : But there are some rules and some typical texts right ? Gloria : You can see some texts from previous years Gloria : <file_other> Emma : Wow that's very useful Emma : I have never seen this site Gl... | Gloria is preparing for the exam . Emma is going to read the website . | O O O O O O O O O O O O O O O M |
Below is a dialog between people and its summary. At the end of summary there is an extra '<EOS>' token. Your task is identify how much the summary is hallucinated. The output should be token by token classification whether its hallucinated or not. Following are the available hallucination classification labels fo... | true | Tags: Gloria(O) is(C) preparing(C) for(O) the(O) exam(O) .(O) Emma(O) is(O) going(O) to(O) read(O) the(O) website(O) .(O) <EOS>(M) | 16 | true | O C C O O O O O O O O O O O O M | 16 | true | 16 | 16 | true |
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