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values | id stringlengths 22 167 | options listlengths 0 235 | target listlengths 1 235 | question stringlengths 18 5.4k | source stringclasses 660
values | variant stringclasses 6
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
text_A: Door into the Dark (1969) is a poetry collection by Seamus Heaney, who received the 1995 Nobel Prize in Literature. Poems include "Requiem for the Croppies", "Thatcher" and "The Wife's Tale". Heaney has been recorded reading this collection on the "Seamus Heaney Collected Poems" album.
text_B: In a highly conte... | choice | anli-a1-bca8387399:train:13956:choice-criteria-permutation | [
"entailment",
"contradiction",
"neutral"
] | [
0,
0,
1
] | Does text_A entail text_B, contradict it, or neither? | anli/a1 | criteria_permutation | train | anli-a1-bca8387399:train:13956 | choice-criteria-permutation | cc-by-nc-4.0 | non-commercial |
text_A: Diana Ross declined to record a duet with Lionel Richie.
text_B: The HTC Incredible S -LRB- S710E -RRB- -LRB- s710d -RRB- , also known as the Incredible 2 , is a smartphone designed and manufactured by Taiwan 's HTC Corporation originally running the Android 2.2 operating system -LRB- since upgraded to 2.3.4 Gi... | choice | fever-evidence-related-f5e1348e27:train:12993 | [
"related",
"unrelated"
] | [
0,
1
] | Select the label that best applies to the state. | fever-evidence-related | direct | train | fever-evidence-related-f5e1348e27:train:12993 | decision | cc-by-sa-3.0, gpl-3.0, CC BY-SA 4.0 (DPI) | commercial |
What can I do if my passcode won't work? | choice | banking77-8ef8a39243:train:7816 | [
"activate_my_card",
"age_limit",
"apple_pay_or_google_pay",
"atm_support",
"automatic_top_up",
"balance_not_updated_after_bank_transfer",
"balance_not_updated_after_cheque_or_cash_deposit",
"beneficiary_not_allowed",
"cancel_transfer",
"card_about_to_expire",
"card_acceptance",
"card_arrival",... | [
0,
0,
0,
0,
0,
0,
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0,
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0,
0... | Which of the supplied criteria best matches the state? | banking77 | direct | train | banking77-8ef8a39243:train:7816 | decision | cc-by-4.0, CC BY 4.0 (DPI) | commercial |
The truck crashed into the main pillar of the bridge. What happened as a result? | choice | balanced-copa-90d823fa83:train:347 | [
"The motorcyclist died.",
"The bridge collapsed."
] | [
0,
1
] | Choose the most appropriate answer from the supplied options. | balanced-copa | direct | train | balanced-copa-90d823fa83:train:347 | decision | cc-by-4.0, BSD 2-Clause License (DPI) | commercial |
please cancel the table i had reserved for tonight | choice | clinc-oos-plus-1b9b3d1a5a:train:13727 | [
"restaurant_reviews",
"nutrition_info",
"account_blocked",
"oil_change_how",
"time",
"weather",
"redeem_rewards",
"interest_rate",
"gas_type",
"accept_reservations",
"smart_home",
"user_name",
"report_lost_card",
"repeat",
"whisper_mode",
"what_are_your_hobbies",
"order",
"jump_sta... | [
0,
0,
0,
0,
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0... | Choose the criterion that best describes the state. | clinc_oos/plus | direct | train | clinc-oos-plus-1b9b3d1a5a:train:13727 | decision | cc-by-3.0 | commercial |
an article is bought for rs . 600 and sold for rs . 450 , find the loss percent ? | choice | math-qa-1c90874154:train:655 | [
"18 %",
"25 %",
"16 %",
"19 %",
"20 %"
] | [
0,
1,
0,
0,
0
] | Select the option that best answers the question. | math_qa | direct | train | math-qa-1c90874154:train:655 | decision | apache-2.0 | commercial |
First text:
long term storage device for programs and data. may be magnetic or solid state.
Second text:
is non volatile storage, does contain storage after the computer system is turned off | choice | parade-28e532d56b:train:4707 | [
"not-paraphrase",
"paraphrase"
] | [
0,
1
] | Choose the most appropriate category for the state. | parade | direct | train | parade-28e532d56b:train:4707 | decision | unspecified | unspecified |
text_A: It returns to the earth in the form of precipitation, then it evaporates again.
text_B: Precipitation are a natural process that allows water to return again to the earth’s surface. | choice | scitail-snli-format-ced6916b77:train:18761 | [
"entailment",
"neutral"
] | [
1,
0
] | Does text_A entail text_B? | scitail/snli_format | direct | train | scitail-snli-format-ced6916b77:train:18761 | decision | unspecified | unspecified |
text_A: Five West African heads of state will travel to Togo Friday to pressure the military-installed government to return the nation to consitutional order , or face sanctions .
text_B: Togo is a location | choice | recast-recast-ner-8c89ce5b92:train:29844 | [
"not-entailed",
"entailed"
] | [
0,
1
] | Does text_A entail text_B? | recast/recast_ner | direct | train | recast-recast-ner-8c89ce5b92:train:29844 | decision | CC BY-SA 4.0 (DPI) | commercial |
### Chat History:
I m looking for a restaurant can you help ? Sure do you know what you are looking to eat ? I am wanting a recommendation so it can be any type of food but I would like something cheap and in the centre of town . I would highly recommend the Charlie Chan for you . Should I make a booking for you ?
... | choice | IntentGrasp-all-2db19fd745:train:17809 | [
"To inform or inquire about the train.",
"To inform or inquire about people in the restaurant.",
"To request food at the restaurant.",
"To request the restaurant reference number.",
"To inform or inquire about the type of the hotel.",
"To inform or inquire about the hotel address.",
"To request the hote... | [
0,
0,
0,
1,
0,
0,
0,
0,
0,
0
] | Which supplied option best answers the question? | IntentGrasp/all | direct | train | IntentGrasp-all-2db19fd745:train:17809 | decision | cc-by-nc-sa-4.0 | non-commercial |
First text:
So Rap is kinda a subset of Hip-hop, but also kinda not?
I think you gave me some history of Hip-hop, but what's the history of Rap?
Second text:
Rap is a genre of music that originated in the Bronx, New York City in the early 1970s, alongside the hip hop genre and cultural movement1
. The following are s... | score | tasksource-oasst2-dense-flat-90075f7000:train:cecd77da43d542b5:oasst2-creativity | [
"1 (ordinary)",
"2",
"3",
"4",
"5 (creative)"
] | [
0.19999999999999996,
0.8,
0,
0,
0
] | How would reviewers rate the response's creativity? | oasst2/creativity | direct | train | tasksource-oasst2-dense-flat-90075f7000:train:cecd77da43d542b5 | oasst2-creativity | unspecified | unspecified |
First text:
So Rap is kinda a subset of Hip-hop, but also kinda not?
I think you gave me some history of Hip-hop, but what's the history of Rap?
Second text:
Rap is a genre of music that originated in the Bronx, New York City in the early 1970s, alongside the hip hop genre and cultural movement1
. The following are s... | score | tasksource-oasst2-dense-flat-90075f7000:train:cecd77da43d542b5:oasst2-helpfulness | [
"1 (unhelpful)",
"2",
"3",
"4",
"5 (helpful)"
] | [
0,
0,
0.3999999999999999,
0.6000000000000001,
0
] | How would reviewers rate the response's helpfulness? | oasst2/helpfulness | direct | train | tasksource-oasst2-dense-flat-90075f7000:train:cecd77da43d542b5 | oasst2-helpfulness | unspecified | unspecified |
First text:
So Rap is kinda a subset of Hip-hop, but also kinda not?
I think you gave me some history of Hip-hop, but what's the history of Rap?
Second text:
Rap is a genre of music that originated in the Bronx, New York City in the early 1970s, alongside the hip hop genre and cultural movement1
. The following are s... | score | tasksource-oasst2-dense-flat-90075f7000:train:cecd77da43d542b5:oasst2-humor | [
"1 (serious)",
"2",
"3",
"4",
"5 (funny)"
] | [
0.6,
0.4,
0,
0,
0
] | How would reviewers rate the response's humor? | oasst2/humor | direct | train | tasksource-oasst2-dense-flat-90075f7000:train:cecd77da43d542b5 | oasst2-humor | unspecified | unspecified |
First text:
So Rap is kinda a subset of Hip-hop, but also kinda not?
I think you gave me some history of Hip-hop, but what's the history of Rap?
Second text:
Rap is a genre of music that originated in the Bronx, New York City in the early 1970s, alongside the hip hop genre and cultural movement1
. The following are s... | score | tasksource-oasst2-dense-flat-90075f7000:train:cecd77da43d542b5:oasst2-quality | [
"1 (low quality)",
"2",
"3",
"4",
"5 (high quality)"
] | [
0,
0,
0.6000000000000001,
0.3999999999999999,
0
] | How would reviewers rate the response's quality? | oasst2/quality | direct | train | tasksource-oasst2-dense-flat-90075f7000:train:cecd77da43d542b5 | oasst2-quality | unspecified | unspecified |
First text:
So Rap is kinda a subset of Hip-hop, but also kinda not?
I think you gave me some history of Hip-hop, but what's the history of Rap?
Second text:
Rap is a genre of music that originated in the Bronx, New York City in the early 1970s, alongside the hip hop genre and cultural movement1
. The following are s... | score | tasksource-oasst2-dense-flat-90075f7000:train:cecd77da43d542b5:oasst2-toxicity | [
"1 (polite)",
"2",
"3",
"4",
"5 (rude)"
] | [
0.6,
0.4,
0,
0,
0
] | How would reviewers rate the response's toxicity? | oasst2/toxicity | direct | train | tasksource-oasst2-dense-flat-90075f7000:train:cecd77da43d542b5 | oasst2-toxicity | unspecified | unspecified |
First text:
So Rap is kinda a subset of Hip-hop, but also kinda not?
I think you gave me some history of Hip-hop, but what's the history of Rap?
Second text:
Rap is a genre of music that originated in the Bronx, New York City in the early 1970s, alongside the hip hop genre and cultural movement1
. The following are s... | score | tasksource-oasst2-dense-flat-90075f7000:train:cecd77da43d542b5:oasst2-violence | [
"1 (harmless)",
"2",
"3",
"4",
"5 (violent)"
] | [
1,
0,
0,
0,
0
] | How would reviewers rate the response's violence? | oasst2/violence | direct | train | tasksource-oasst2-dense-flat-90075f7000:train:cecd77da43d542b5 | oasst2-violence | unspecified | unspecified |
does chuck get married in gossip girl season 5? | choice | boolq-natural-perturbations-508f5ac0f9:train:3518 | [
"False",
"True"
] | [
0,
1
] | Choose the criterion that best describes the state. | boolq-natural-perturbations | direct | train | boolq-natural-perturbations-508f5ac0f9:train:3518 | decision | unspecified | unspecified |
text_A: Theorem 1 guarantees that the estimator μf(X) converges to µ f (X) when μX converges to µ X .
text_B: it says nothing about the speed of convergence. | choice | MSciNLI-ae9f75f228:train:21664 | [
"contrasting",
"entailment",
"neutral",
"reasoning"
] | [
1,
0,
0,
0
] | Which of the supplied criteria best matches the state? | MSciNLI | direct | train | MSciNLI-ae9f75f228:train:21664 | decision | cc-by-sa-4.0 | commercial |
text_A: Hacked off Internet security, or rather the lack of it, is the bane of todays computer user. Computer hackers write malicious computer programs (or malware) that infect vulnerable computers and modify the way they operate. Typically, these programs are downloaded from the internet inadvertently with a single cl... | choice | ConTRoL-nli-76d402cf21:train:2821 | [
"entailment",
"neutral",
"contradiction"
] | [
0,
1,
0
] | Does text_A entail text_B, contradict it, or neither? | ConTRoL-nli | direct | train | ConTRoL-nli-76d402cf21:train:2821 | decision | CC BY-NC-SA 4.0 (DPI) | non-commercial |
Passage A:
How to Make Short Work of Gears Tactics’ Frustrating First Boss
Passage B:
Gears Tactics: The Kotaku Review | choice | headline-cause-en-simple-1a168961c0:train:837 | [
"no causal link",
"first headline caused the second",
"second headline caused the first"
] | [
1,
0,
0
] | Choose the criterion that best describes the state. | headline_cause/en_simple | direct | train | headline-cause-en-simple-1a168961c0:train:837 | decision | cc0-1.0 | commercial |
text_A: EA Play 2020 Goes Digital with Announcements and Reveals in June
text_B: Square Enix Supposedly Ditching Plans for Digital E3-Esque Event | choice | headline-cause-en-simple-1a168961c0:train:4097 | [
"no causal link",
"first headline caused the second",
"second headline caused the first"
] | [
1,
0,
0
] | Choose the most appropriate category for the state. | headline_cause/en_simple | direct | train | headline-cause-en-simple-1a168961c0:train:4097 | decision | cc0-1.0 | commercial |
Item A:
text_A: There are two blocks. Lets call them A and B. There is a big blue triangle in block A. A small yellow square is touching the bottom edge of this block. To the left of and touching the small yellow square there is the big blue triangle. Block B is above block A. It contains one small yellow triangle. Abo... | choice | spartqa-yn-a9b30ae554:train:pack-4ec96d246779:label-A | [
"No",
"Yes",
"don't know"
] | [
0,
1,
0
] | Choose the criterion that best describes Item A. | spartqa-yn | packed_derived | train | spartqa-yn-a9b30ae554:train:pack-4ec96d246779 | label-A | apache-2.0 | commercial |
Item A:
text_A: There are two blocks. Lets call them A and B. There is a big blue triangle in block A. A small yellow square is touching the bottom edge of this block. To the left of and touching the small yellow square there is the big blue triangle. Block B is above block A. It contains one small yellow triangle. Abo... | noul | spartqa-yn-a9b30ae554:train:pack-4ec96d246779:in-B-2 | [] | [
1
] | Is the label of Item B "don't know"? Possible labels: "No", "Yes", "don't know". | spartqa-yn | packed_derived | train | spartqa-yn-a9b30ae554:train:pack-4ec96d246779 | in-B-2 | apache-2.0 | commercial |
Item A:
text_A: There are two blocks. Lets call them A and B. There is a big blue triangle in block A. A small yellow square is touching the bottom edge of this block. To the left of and touching the small yellow square there is the big blue triangle. Block B is above block A. It contains one small yellow triangle. Abo... | noul | spartqa-yn-a9b30ae554:train:pack-4ec96d246779:all-same | [] | [
0
] | Do all items have the same label? Possible labels: "No", "Yes", "don't know". | spartqa-yn | packed_derived | train | spartqa-yn-a9b30ae554:train:pack-4ec96d246779 | all-same | apache-2.0 | commercial |
Item A:
text_A: There are two blocks. Lets call them A and B. There is a big blue triangle in block A. A small yellow square is touching the bottom edge of this block. To the left of and touching the small yellow square there is the big blue triangle. Block B is above block A. It contains one small yellow triangle. Abo... | score | spartqa-yn-a9b30ae554:train:pack-4ec96d246779:count-0 | [
"0",
"1",
"2"
] | [
1,
0,
0
] | How many items have the label "No"? Possible labels: "No", "Yes", "don't know". | spartqa-yn | packed_derived | train | spartqa-yn-a9b30ae554:train:pack-4ec96d246779 | count-0 | apache-2.0 | commercial |
don't forget to edit /dev/sdb1 by your harddrive node | choice | pragmeval-squinky-implicature-27cac01586:train:764 | [
"low implicature (implied beyond what is said)",
"high implicature (implied beyond what is said)"
] | [
1,
0
] | Choose the most appropriate category for the state. | pragmeval/squinky-implicature | direct | train | pragmeval-squinky-implicature-27cac01586:train:764 | decision | unspecified | unspecified |
A: Alen Halilović is a Croatian professional football player for Milan club .
B: Alen Halilović ( ; born 18 June 1996 ) is a Bosnian-Croatian professional footballer who plays as an attacking midfielder for Italian Serie A club Milan . | choice | vitaminc-ad0b6a3bdd:train:19809 | [
"NOT ENOUGH INFO",
"REFUTES",
"SUPPORTS"
] | [
0,
1,
0
] | Choose the criterion that best describes the state. | vitaminc | direct | train | vitaminc-ad0b6a3bdd:train:19809 | decision | cc-by-sa-3.0 | commercial |
Celebrate, snail bait Gary Steel figures it’s high time the venerable Kiwi institution Flying Nun got its wings clipped, and maybe its last rites read. 'Whaaaat? I thought Flying Nun was dead and buried!' A look of incredulity breaks into bleak confusion. The look on the face of this chap betrays the disappoin... | choice | blog-authorship-corpus-age-8880d04019:train:2104 | [
"13-17",
"23-27",
"33-48"
] | [
0,
0,
1
] | What is the blogger's age group? | blog_authorship_corpus/age | direct | train | blog-authorship-corpus-age-8880d04019:train:2104 | decision | apache-2.0 | commercial |
Nimekwenda hosipitali Daktari wamesema dawa yangu ni wewe We ndio wangu Daktari cc | choice | multilingual-AfriSenti-twitter-sentiment-swa-13d02bc40c:train:484 | [
"negative",
"neutral",
"positive"
] | [
0,
1,
0
] | What sentiment does the text express? | multilingual/AfriSenti-twitter-sentiment/swa | direct | train | multilingual-AfriSenti-twitter-sentiment-swa-13d02bc40c:train:484 | decision | cc-by-4.0 | commercial |
A 58-year-old woman presents to a physician with a painless swelling behind her right ear, which she noticed 1 month ago. She has no other complaint nor does she have any specific medical condition. On physical examination, her vital signs are stable. An examination of the right post-auricular area shows enlarged lymph... | choice | MedQA-USMLE-4-options-hf-0928df4c7a:train:3906 | [
"t(11;18)(q21;q21)",
"t(9;14)(p13;q32)",
"t(14;18)(q32;q21)",
"t(3;3)(q27;27)"
] | [
0,
0,
1,
0
] | Choose the criterion that best answers the question. | MedQA-USMLE-4-options-hf | direct | train | MedQA-USMLE-4-options-hf-0928df4c7a:train:3906 | decision | cc-by-sa-4.0 | commercial |
text_A: This place is a good place to see a beautiful sunset.
text_B: The sunset is over there. | choice | WANLI-fc7ea2501e:train:16835 | [
"entailment",
"neutral",
"contradiction"
] | [
0,
1,
0
] | Does text_A entail text_B, contradict it, or neither? | WANLI | direct | train | WANLI-fc7ea2501e:train:16835 | decision | cc-by-4.0 | commercial |
A: This place is a good place to see a beautiful sunset.
B: The sunset is over there. | choice | WANLI-fc7ea2501e:train:16835:choice-paired-text-format | [
"entailment",
"neutral",
"contradiction"
] | [
0,
1,
0
] | Does text_A entail text_B, contradict it, or neither? | WANLI | paired_text_format | train | WANLI-fc7ea2501e:train:16835 | choice-paired-text-format | cc-by-4.0 | commercial |
text_A: The London to Brighton Veteran Car Run The Bonhams London to Brighton Veteran Car Run starts in Hyde Park, London on the first Sunday in November every year. The cars congregate from 6.00am with the first car departing at sunrise (6.56am) and the last car leaving from between 8.00am 8.30am. Hyde Park is located... | choice | ConTRoL-nli-76d402cf21:train:6341 | [
"entailment",
"neutral",
"contradiction"
] | [
0,
0,
1
] | Does text_A entail text_B, contradict it, or neither? | ConTRoL-nli | direct | train | ConTRoL-nli-76d402cf21:train:6341 | decision | CC BY-NC-SA 4.0 (DPI) | non-commercial |
working simultaneously and independently at an identical constant rate , 10 machines of a certain type can produce a total of x units of product p in 4 days . how many of these machines , working simultaneously and independently at this constant rate , can produce a total of 3 x units of product p in 6 days ? | choice | math-qa-1c90874154:train:19353 | [
"18",
"20",
"22",
"15",
"14"
] | [
0,
1,
0,
0,
0
] | Choose the criterion that best answers the question. | math_qa | direct | train | math-qa-1c90874154:train:19353 | decision | apache-2.0 | commercial |
Passage A:
Jul 10, 2019 — Novo "meme" da página "Direita Política" denuncia que a ministra da ... baseado numa imagem da atual ministra das Saúde, Marta Temido, ...
Novo "meme" da página "Direita Política" denuncia que a ministra da Saúde, ... das Saúde, Marta Temido, e difundindo a seguinte mensagem: "Ministra da ...
... | choice | multilingual-x-fact-ccac15f030:train:27364 | [
"complicated/hard to categorise",
"false",
"half true",
"mostly false",
"mostly true",
"other",
"partly true/misleading",
"true"
] | [
0,
0,
0,
0,
1,
0,
0,
0
] | Choose the most appropriate category for the state. | multilingual/x-fact | direct | train | multilingual-x-fact-ccac15f030:train:27364 | decision | unspecified | unspecified |
text_A: A group of girls sit back to back.
text_B: A group of girls are swimming vigorously. | choice | snli-f0fc15118b:train:26690 | [
"entailment",
"neutral",
"contradiction"
] | [
0,
0,
1
] | Does text_A entail text_B, contradict it, or neither? | snli | direct | train | snli-f0fc15118b:train:26690 | decision | cc-by-sa-4.0 | commercial |
Item A:
under armour , inc. and its affiliates and subsidiaries , including mapmyfitness , inc. ( `` mapmyfitness '' ) , myfitnesspal , inc. ( `` myfitnesspal '' ) and endomondo aps ( `` endomondo '' ) ( collectively referred to throughout as `` under armour , '' `` we '' or `` us '' ) , offer a variety of products and... | choice | lex-glue-unfair-tos-e0fa400828:train:pack-9e89c9b6296c:label-B | [
"Limitation of liability",
"Unilateral termination",
"Unilateral change",
"Content removal",
"Contract by using",
"Choice of law",
"Jurisdiction",
"Arbitration",
"fair clause"
] | [
1,
0,
0,
0,
0,
0,
0,
0,
0
] | Each item answers: "Which kind of unfair term, if any, does this terms-of-service clause contain?"
Choose the criterion that best describes Item B. | lex_glue/unfair_tos | packed_derived | train | lex-glue-unfair-tos-e0fa400828:train:pack-9e89c9b6296c | label-B | cc-by-4.0 | commercial |
Item A:
under armour , inc. and its affiliates and subsidiaries , including mapmyfitness , inc. ( `` mapmyfitness '' ) , myfitnesspal , inc. ( `` myfitnesspal '' ) and endomondo aps ( `` endomondo '' ) ( collectively referred to throughout as `` under armour , '' `` we '' or `` us '' ) , offer a variety of products and... | noul | lex-glue-unfair-tos-e0fa400828:train:pack-9e89c9b6296c:same-A-C | [] | [
0
] | Each item answers: "Which kind of unfair term, if any, does this terms-of-service clause contain?"
Do Item A and Item C have the same label? Possible labels: "Limitation of liability", "Unilateral termination", "Unilateral change", "Content removal", "Contract by using", "Choice of law", "Jurisdiction", "Arbitration", ... | lex_glue/unfair_tos | packed_derived | train | lex-glue-unfair-tos-e0fa400828:train:pack-9e89c9b6296c | same-A-C | cc-by-4.0 | commercial |
Item A:
under armour , inc. and its affiliates and subsidiaries , including mapmyfitness , inc. ( `` mapmyfitness '' ) , myfitnesspal , inc. ( `` myfitnesspal '' ) and endomondo aps ( `` endomondo '' ) ( collectively referred to throughout as `` under armour , '' `` we '' or `` us '' ) , offer a variety of products and... | noul | lex-glue-unfair-tos-e0fa400828:train:pack-9e89c9b6296c:exists-4 | [] | [
0
] | Each item answers: "Which kind of unfair term, if any, does this terms-of-service clause contain?"
Does at least one item have the label "Contract by using"? Possible labels: "Limitation of liability", "Unilateral termination", "Unilateral change", "Content removal", "Contract by using", "Choice of law", "Jurisdiction"... | lex_glue/unfair_tos | packed_derived | train | lex-glue-unfair-tos-e0fa400828:train:pack-9e89c9b6296c | exists-4 | cc-by-4.0 | commercial |
Item A:
under armour , inc. and its affiliates and subsidiaries , including mapmyfitness , inc. ( `` mapmyfitness '' ) , myfitnesspal , inc. ( `` myfitnesspal '' ) and endomondo aps ( `` endomondo '' ) ( collectively referred to throughout as `` under armour , '' `` we '' or `` us '' ) , offer a variety of products and... | score | lex-glue-unfair-tos-e0fa400828:train:pack-9e89c9b6296c:count-2 | [
"0",
"1",
"2",
"3",
"4"
] | [
1,
0,
0,
0,
0
] | Each item answers: "Which kind of unfair term, if any, does this terms-of-service clause contain?"
How many items have the label "Unilateral change"? Possible labels: "Limitation of liability", "Unilateral termination", "Unilateral change", "Content removal", "Contract by using", "Choice of law", "Jurisdiction", "Arbit... | lex_glue/unfair_tos | packed_derived | train | lex-glue-unfair-tos-e0fa400828:train:pack-9e89c9b6296c | count-2 | cc-by-4.0 | commercial |
Session context: {'gitRemote': None, 'gitStatus': {'untracked': [], 'modified': [], 'staged': []}, 'agentTouchedFiles': [], 'cwd': 'C:\\dev\\data-pipeline', 'lastUserPrompt': "What's consuming the most memory on this server? I need to identify the top memory-consuming processes and determine if we need to optimize them... | choice | shell-safety-v2-abdd84bb83:train:3521 | [
"allow",
"ask",
"deny"
] | [
0,
0,
1
] | What safety decision should be made before running this shell command? | shell-safety-v2 | direct | train | shell-safety-v2-abdd84bb83:train:3521 | decision | mit | commercial |
What is the headquarters location of qualcomm atheros? | choice | wiki-hop-original-e6f0da7fde:train:24159 | [
"brand",
"stanford",
"pacific",
"los angeles",
"university of california , berkeley",
"oregon",
"san jose",
"new york city",
"york",
"california",
"berkeley",
"san diego",
"media",
"san bernardino",
"san francisco",
"palo alto",
"berkeley , california",
"southern california"
] | [
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] | Select the option that best answers the question. | wiki_hop/original | direct | train | wiki-hop-original-e6f0da7fde:train:24159 | decision | cc-by-sa-3.0 | commercial |
text_A: Indonesia says it will monitor Islamic boarding schools as part of its effort to fight militant violence and suicide bombings .
text_B: Islamic is a location | choice | recast-recast-ner-8c89ce5b92:train:2505 | [
"not-entailed",
"entailed"
] | [
0,
1
] | Does text_A entail text_B? | recast/recast_ner | direct | train | recast-recast-ner-8c89ce5b92:train:2505 | decision | CC BY-SA 4.0 (DPI) | commercial |
First text:
This treebank exists in another manually annotated version, namely, with dependency annotation .
Second text:
manual annotations for LVCs and dependency structures are available for the same bunch of texts, which made it possible to map the two manual annotations. | choice | scinli-ff3701c540:train:12011 | [
"contrasting",
"entailment",
"neutral",
"reasoning"
] | [
0,
0,
0,
1
] | Select the label that best applies to the state. | scinli | direct | train | scinli-ff3701c540:train:12011 | decision | apache-2.0, CC BY-SA 4.0 (DPI) | commercial |
text_A: Suppose there is a closed system of 6 variables, A, B, C, D, E and F. All the statistical relations among these 6 variables are as follows: A correlates with B. A correlates with C. A correlates with D. A correlates with E. A correlates with F. B correlates with C. B correlates with D. B correlates with E. B co... | choice | corr2cause-1d700d1e0f:train:20202 | [
"entailment",
"neutral",
"contradiction"
] | [
0,
0,
1
] | Does text_A entail text_B, contradict it, or neither? | corr2cause | direct | train | corr2cause-1d700d1e0f:train:20202 | decision | mit | commercial |
A: Whedon was involved in an advisory role early in the production but departed after becoming dissatisfied with the direction the film was taking. Executives at 20th Century Fox removed many of Whedon's jokes, believing the humor to be too abstract for audiences. They also disliked the darker elements in Whedon's orig... | choice | CONDAQA-9dcd2bcd14:train:4799 | [
"DON'T KNOW",
"NO",
"YES"
] | [
0,
1,
0
] | Which of the supplied criteria best matches the state? | CONDAQA | direct | train | CONDAQA-9dcd2bcd14:train:4799 | decision | apache-2.0, Apache License 2.0 (DPI) | commercial |
text_A: D is on the lower left of L. U is positioned above D and to the left. Z is lower left to C. L presents upper left to F. C and U are parallel, and C on the left of U. Z is there and P is at the 10 position of a clock face.
text_B: What is the relation of the agent Z to the agent U? | choice | stepgame-1cc74264d9:train:24478 | [
"above",
"below",
"left",
"lower-left",
"lower-right",
"overlap",
"right",
"upper-left",
"upper-right"
] | [
0,
0,
0,
1,
0,
0,
0,
0,
0
] | Choose the criterion that best describes the state. | stepgame | direct | train | stepgame-1cc74264d9:train:24478 | decision | mit | commercial |
text_A: Malaysians in the United Kingdom are British citizens who have full or partial Malaysian origin or descent and Malaysian citizens residing in the United Kingdom .
The 2001 UK Census recorded 49,886 Malaysian - born people .
The 2011 census recorded 62,396 people born in Malaysia living in England , 2,117 in Wal... | choice | docred-84d225f1d6:train:7313 | [
"applies to jurisdiction",
"author",
"award received",
"basin country",
"capital",
"capital of",
"cast member",
"chairperson",
"characters",
"child",
"child organization or unit",
"composer",
"contains the administrative territorial entity",
"continent",
"country",
"country of citizens... | [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | Choose the most appropriate category for the state. | docred | direct | train | docred-84d225f1d6:train:7313 | decision | mit | commercial |
by selling 90 pens , a trader gains the cost of 30 pens . find his gain percentage ? | choice | math-qa-1c90874154:train:9164 | [
"31.3 %",
"33.3 %",
"29.3 %",
"30.3 %",
"32.3 %"
] | [
0,
1,
0,
0,
0
] | Select the option that best answers the question. | math_qa | direct | train | math-qa-1c90874154:train:9164 | decision | apache-2.0 | commercial |
text_A: I could n't get the kids out . `` I could n't get them out , '' says neighbor -- ` but they're not going to be able to do anything about it. The brothers were ages 5 , 2 and 4 months .
text_B: `` I could n't get them out , '' says neighbor -- ` but they're not going to be able to do anything about it. The broth... | choice | doc-nli-3c305b0aa7:train:224563 | [
"entailment",
"not_entailment"
] | [
1,
0
] | Does text_A entail text_B? | doc-nli | direct | train | doc-nli-3c305b0aa7:train:224563 | decision | bsd | commercial |
text_A: Harold Homer Chase (February 13, 1883 – May 18, 1947), nicknamed "Prince Hal", was a first baseman and manager in Major League Baseball, widely viewed as the best fielder at his position. During his career, he played for the New York Highlanders (1905–1913), Chicago White Sox (1913–1914), Buffalo Blues (1914–19... | choice | anli-a3-9d2e281b32:train:6991 | [
"entailment",
"neutral",
"contradiction"
] | [
1,
0,
0
] | Does text_A entail text_B, contradict it, or neither? | anli/a3 | direct | train | anli-a3-9d2e281b32:train:6991 | decision | cc-by-nc-4.0 | non-commercial |
What steps should venture capital firms take to become more inclusive? | choice | insincere-questions-565322a762:train:23277 | [
"insincere question",
"valid question"
] | [
0,
1
] | Choose the most appropriate category for the state. | insincere-questions | direct | train | insincere-questions-565322a762:train:23277 | decision | unspecified | unspecified |
{"prior_probability_incident": "1/5", "assumption": "Sensor observations are conditionally independent given whether the incident is real.", "sensors": [{"id": "S1", "observed": "negative", "p_positive_given_incident": "3/4", "p_positive_given_no_incident": "1/4"}, {"id": "S2", "observed": "negative", "p_positive_given... | noul | procedural-typed-decisions-partial_observation_calibration:train:8249:incident_real | [] | [
0.052632
] | What is the posterior probability that the incident is real after conditioning on every sensor observation? | procedural-typed-decisions/partial_observation_calibration | direct | train | procedural-typed-decisions-partial_observation_calibration:train:8249 | incident_real | apache-2.0 | commercial |
Passage A:
Since theWiMAX frame is .xed, it behaves non-work-conservingly.
Passage B:
if there are slots that are not allocated to any connection, then some bandwidth resources will be wasted. | choice | MSciNLI-ae9f75f228:train:29607 | [
"contrasting",
"entailment",
"neutral",
"reasoning"
] | [
0,
1,
0,
0
] | Select the label that best applies to the state. | MSciNLI | direct | train | MSciNLI-ae9f75f228:train:29607 | decision | cc-by-sa-4.0 | commercial |
Passage A:
Since theWiMAX frame is .xed, it behaves non-work-conservingly.
Passage B:
if there are slots that are not allocated to any connection, then some bandwidth resources will be wasted. | choice | MSciNLI-ae9f75f228:train:29607:choice-paired-text-format | [
"contrasting",
"entailment",
"neutral",
"reasoning"
] | [
0,
1,
0,
0
] | Select the label that best applies to the state. | MSciNLI | paired_text_format | train | MSciNLI-ae9f75f228:train:29607 | choice-paired-text-format | cc-by-sa-4.0 | commercial |
Sentence: Boo Boo , Ta and I had a girls day . She is such a wonderful baby .
Target token at position 6: had
Marked sentence: Boo Boo , Ta and I [TARGET: had] a girls day . She is such a wonderful baby . | choice | wnut-17-wnut-17-8de843af39:train:1508:token-6 | [
"outside any named entity",
"beginning of a corporation entity",
"inside a corporation entity",
"beginning of a creative work entity",
"inside a creative work entity",
"beginning of a group entity",
"inside a group entity",
"beginning of a location entity",
"inside a location entity",
"beginning o... | [
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] | Choose the criterion that best labels the target token. | wnut_17/wnut_17 | direct | train | wnut-17-wnut-17-8de843af39:train:1508 | token-6 | cc-by-4.0 | commercial |
Sentence: Boo Boo , Ta and I had a girls day . She is such a wonderful baby .
Target token at position 17: .
Marked sentence: Boo Boo , Ta and I had a girls day . She is such a wonderful baby [TARGET: .] | choice | wnut-17-wnut-17-8de843af39:train:1508:token-17 | [
"outside any named entity",
"beginning of a corporation entity",
"inside a corporation entity",
"beginning of a creative work entity",
"inside a creative work entity",
"beginning of a group entity",
"inside a group entity",
"beginning of a location entity",
"inside a location entity",
"beginning o... | [
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] | Choose the criterion that best labels the target token. | wnut_17/wnut_17 | direct | train | wnut-17-wnut-17-8de843af39:train:1508 | token-17 | cc-by-4.0 | commercial |
What is the author's view on daycare service?
Children are a delight. They are our future. But sadly, hiring someone to take care of them while you go to work is getting more expensive by the year.
Earlier this month, it was reported that the cost of enrolling an infant or small kid at a childcare center rose 3% in 201... | choice | race-c-9f8e971e26:train:5072 | [
"It is better for different states to learn from each other.",
"Caregivers should receive regular professional training.",
"It is crucial to strike a balance between quality and costs.",
"Less elaborate rules about childcare might lower costs."
] | [
0,
0,
0,
1
] | Which supplied option best answers the question? | race-c | direct | train | race-c-9f8e971e26:train:5072 | decision | Non Commercial (DPI) | non-commercial |
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