state stringlengths 0 129k | kind stringclasses 3
values | id stringlengths 22 168 | options listlengths 0 235 | target listlengths 1 235 | question stringlengths 18 11.4k | source stringclasses 668
values | variant stringclasses 6
values | split stringclasses 1
value | group_id stringlengths 22 82 | question_id stringlengths 4 118 | license stringclasses 69
values | license_use stringclasses 3
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
text_A: Seppuku is defined as cutting the belly.
text_B: Seppuku -LRB- 切腹 , `` cutting -LSB- the -RSB- abdomen / belly '' , formal on reading of original Kanji -RRB- , sometimes metathesized as harakiri -LRB- 腹切り , `` abdomen / belly cutting '' -RRB- which is a native Japanese kun reading , is a form of Japanese ritual... | choice | fever-evidence-related-f5e1348e27:train:96:choice-criteria-permutation | [
"unrelated",
"related"
] | [
0,
1
] | Which of the supplied criteria best matches the state? | fever-evidence-related | criteria_permutation | train | fever-evidence-related-f5e1348e27:train:96 | choice-criteria-permutation | cc-by-sa-3.0, gpl-3.0, CC BY-SA 4.0 (DPI) | commercial |
Passage A:
Need for impressions : Zoosemiotics and zoosemiotics , by Aleksei Turovski .
Passage B:
member of political party | choice | few-rel-default-4ad725da41:train:198 | [
"negative",
"positive"
] | [
1,
0
] | Choose the most appropriate category for the state. | few_rel/default | direct | train | few-rel-default-4ad725da41:train:198 | decision | unspecified | unspecified |
Passage A:
Need for impressions : Zoosemiotics and zoosemiotics , by Aleksei Turovski .
Passage B:
member of political party | choice | few-rel-default-4ad725da41:train:198:choice-instruction-paraphrase | [
"negative",
"positive"
] | [
1,
0
] | Classify the state as negative or positive. | few_rel/default | instruction_paraphrase | train | few-rel-default-4ad725da41:train:198 | choice-instruction-paraphrase | unspecified | unspecified |
The seas on the voyage were glass | choice | fig-qa-339ac2ed0b:train:22 | [
"The seas were calm",
"The seas were rough"
] | [
1,
0
] | Choose the criterion that best answers the question. | fig-qa | direct | train | fig-qa-339ac2ed0b:train:22 | decision | mit | commercial |
The seas on the voyage were glass | choice | fig-qa-339ac2ed0b:train:22:choice-criteria-permutation | [
"The seas were rough",
"The seas were calm"
] | [
0,
1
] | Choose the criterion that best answers the question. | fig-qa | criteria_permutation | train | fig-qa-339ac2ed0b:train:22 | choice-criteria-permutation | mit | commercial |
As much biomass will be used as can be sourced locally , with the rest of the plant 's fuel needs met by peat . | score | financial-phrasebank-sentences-allagree-fb77247656:train:0 | [
"negative",
"neutral",
"positive"
] | [
0,
1,
0
] | What sentiment does the text express? | financial_phrasebank/sentences_allagree | direct | train | financial-phrasebank-sentences-allagree-fb77247656:train:0 | decision | cc-by-nc-sa-3.0 | non-commercial |
text_A: Everything is either outside the solar system or in the solar system.
Nothing outside the solar system has the Sun as its star.
Everything in the solar system is gravitationally bound by the Sun.
No planets gravitationally bound by the Sun are rogue planets.
All orphan planets are rogue planets.
If PSO J318.5... | choice | folio-6c5df13928:train:42 | [
"entailment",
"neutral",
"contradiction"
] | [
0,
0,
1
] | Does text_A entail text_B, contradict it, or neither? | folio | direct | train | folio-6c5df13928:train:42 | decision | cc, CC BY-SA 4.0 (DPI) | commercial |
text_A: Everything is either outside the solar system or in the solar system.
Nothing outside the solar system has the Sun as its star.
Everything in the solar system is gravitationally bound by the Sun.
No planets gravitationally bound by the Sun are rogue planets.
All orphan planets are rogue planets.
If PSO J318.5... | noul | folio-6c5df13928:train:42:noul-label-verification | [] | [
1
] | Does text_A entail text_B, contradict it, or neither? Is "contradiction" the correct answer? | folio | label_verification | train | folio-6c5df13928:train:42 | noul-label-verification | cc, CC BY-SA 4.0 (DPI) | commercial |
First text:
Both Hitler in 1940 and de Gaulle in 1944 observed this custom. After the interment of the Unknown Soldier, however, all military parades (including the aforementioned post-1919) have avoided marching through the actual arch.
Second text:
Even enemy combatants during the second World War did not walk troop... | choice | fool-me-twice-6c212649fb:train:50 | [
"REFUTES",
"SUPPORTS"
] | [
0,
1
] | Select the label that best applies to the state. | fool-me-twice | direct | train | fool-me-twice-6c212649fb:train:50 | decision | apache-2.0 | commercial |
First text:
Both Hitler in 1940 and de Gaulle in 1944 observed this custom. After the interment of the Unknown Soldier, however, all military parades (including the aforementioned post-1919) have avoided marching through the actual arch.
Second text:
Even enemy combatants during the second World War did not walk troop... | choice | fool-me-twice-6c212649fb:train:50:choice-instruction-paraphrase | [
"REFUTES",
"SUPPORTS"
] | [
0,
1
] | Select the label that best applies to the state. | fool-me-twice | instruction_paraphrase | train | fool-me-twice-6c212649fb:train:50 | choice-instruction-paraphrase | apache-2.0 | commercial |
Item A:
text_A: Smith represents his company and so does Jones.
text_B: Jones represents Jones' company.
Item B:
text_A: Since 1992 ITEL has made a loss. It is now 1996.
text_B: ITEL made a loss in 1993. | choice | fracas-5f7968191b:train:pack-056946ff5bbc:label-A | [
"entailment",
"neutral",
"contradiction"
] | [
1,
0,
0
] | Each item answers: "Does text_A entail text_B, contradict it, or neither?"
Choose the criterion that best describes Item A. | fracas | packed_derived | train | fracas-5f7968191b:train:pack-056946ff5bbc | label-A | unspecified | unspecified |
Item A:
text_A: Smith represents his company and so does Jones.
text_B: Jones represents Jones' company.
Item B:
text_A: Since 1992 ITEL has made a loss. It is now 1996.
text_B: ITEL made a loss in 1993. | noul | fracas-5f7968191b:train:pack-056946ff5bbc:same-A-B | [] | [
1
] | Each item answers: "Does text_A entail text_B, contradict it, or neither?"
Do Item A and Item B have the same label? Possible labels: "entailment", "neutral", "contradiction". | fracas | packed_derived | train | fracas-5f7968191b:train:pack-056946ff5bbc | same-A-B | unspecified | unspecified |
Item A:
text_A: Smith represents his company and so does Jones.
text_B: Jones represents Jones' company.
Item B:
text_A: Since 1992 ITEL has made a loss. It is now 1996.
text_B: ITEL made a loss in 1993. | noul | fracas-5f7968191b:train:pack-056946ff5bbc:exists-0 | [] | [
1
] | Each item answers: "Does text_A entail text_B, contradict it, or neither?"
Does at least one item have the label "entailment"? Possible labels: "entailment", "neutral", "contradiction". | fracas | packed_derived | train | fracas-5f7968191b:train:pack-056946ff5bbc | exists-0 | unspecified | unspecified |
Item A:
text_A: Smith represents his company and so does Jones.
text_B: Jones represents Jones' company.
Item B:
text_A: Since 1992 ITEL has made a loss. It is now 1996.
text_B: ITEL made a loss in 1993. | score | fracas-5f7968191b:train:pack-056946ff5bbc:count-1 | [
"0",
"1",
"2"
] | [
1,
0,
0
] | Each item answers: "Does text_A entail text_B, contradict it, or neither?"
How many items have the label "neutral"? Possible labels: "entailment", "neutral", "contradiction". | fracas | packed_derived | train | fracas-5f7968191b:train:pack-056946ff5bbc | count-1 | unspecified | unspecified |
text_A: Most of the world's national symbols the Statue of Liberte the Eiffel Tower, the Kremlin, the Great Wall are man-made.
text_B: National symbols of many countries are naturally formed formations and natural landmarks. | choice | gen-debiased-nli-mnli-par-z-160eeecdc5:train:1007 | [
"entailment",
"neutral",
"contradiction"
] | [
0,
0,
1
] | Does text_A entail text_B, contradict it, or neither? | gen_debiased_nli/mnli_par_z | direct | train | gen-debiased-nli-mnli-par-z-160eeecdc5:train:1007 | decision | CC BY-SA 4.0 (DPI), OANC (DPI) | commercial |
First text:
Most of the world's national symbols the Statue of Liberte the Eiffel Tower, the Kremlin, the Great Wall are man-made.
Second text:
National symbols of many countries are naturally formed formations and natural landmarks. | choice | gen-debiased-nli-mnli-par-z-160eeecdc5:train:1007:choice-paired-text-format | [
"entailment",
"neutral",
"contradiction"
] | [
0,
0,
1
] | Does text_A entail text_B, contradict it, or neither? | gen_debiased_nli/mnli_par_z | paired_text_format | train | gen-debiased-nli-mnli-par-z-160eeecdc5:train:1007 | choice-paired-text-format | CC BY-SA 4.0 (DPI), OANC (DPI) | commercial |
Item A:
text_A: The city of Alexandria has no proper beaches but 8 km (5 miles) to the east is Montazah, a resort center with hotels and sandy bays.
text_B: The city Alexandria does not have any real beaches.
Item B:
text_A: Our simulations using a longterm economic growth model show that, even assuming the United Sta... | choice | gen-debiased-nli-mnli-seq-z-126d32fedb:train:pack-18c596600c0e:label-B | [
"entailment",
"neutral",
"contradiction"
] | [
0,
1,
0
] | Each item answers: "Does text_A entail text_B, contradict it, or neither?"
Choose the criterion that best describes Item B. | gen_debiased_nli/mnli_seq_z | packed_derived | train | gen-debiased-nli-mnli-seq-z-126d32fedb:train:pack-18c596600c0e | label-B | CC BY-SA 4.0 (DPI), OANC (DPI) | commercial |
Item A:
text_A: The city of Alexandria has no proper beaches but 8 km (5 miles) to the east is Montazah, a resort center with hotels and sandy bays.
text_B: The city Alexandria does not have any real beaches.
Item B:
text_A: Our simulations using a longterm economic growth model show that, even assuming the United Sta... | noul | gen-debiased-nli-mnli-seq-z-126d32fedb:train:pack-18c596600c0e:same-A-B | [] | [
0
] | Each item answers: "Does text_A entail text_B, contradict it, or neither?"
Do Item A and Item B have the same label? Possible labels: "entailment", "neutral", "contradiction". | gen_debiased_nli/mnli_seq_z | packed_derived | train | gen-debiased-nli-mnli-seq-z-126d32fedb:train:pack-18c596600c0e | same-A-B | CC BY-SA 4.0 (DPI), OANC (DPI) | commercial |
Item A:
text_A: The city of Alexandria has no proper beaches but 8 km (5 miles) to the east is Montazah, a resort center with hotels and sandy bays.
text_B: The city Alexandria does not have any real beaches.
Item B:
text_A: Our simulations using a longterm economic growth model show that, even assuming the United Sta... | noul | gen-debiased-nli-mnli-seq-z-126d32fedb:train:pack-18c596600c0e:exists-2 | [] | [
0
] | Each item answers: "Does text_A entail text_B, contradict it, or neither?"
Does at least one item have the label "contradiction"? Possible labels: "entailment", "neutral", "contradiction". | gen_debiased_nli/mnli_seq_z | packed_derived | train | gen-debiased-nli-mnli-seq-z-126d32fedb:train:pack-18c596600c0e | exists-2 | CC BY-SA 4.0 (DPI), OANC (DPI) | commercial |
Item A:
text_A: The city of Alexandria has no proper beaches but 8 km (5 miles) to the east is Montazah, a resort center with hotels and sandy bays.
text_B: The city Alexandria does not have any real beaches.
Item B:
text_A: Our simulations using a longterm economic growth model show that, even assuming the United Sta... | score | gen-debiased-nli-mnli-seq-z-126d32fedb:train:pack-18c596600c0e:count-1 | [
"0",
"1",
"2",
"3"
] | [
0,
0,
1,
0
] | Each item answers: "Does text_A entail text_B, contradict it, or neither?"
How many items have the label "neutral"? Possible labels: "entailment", "neutral", "contradiction". | gen_debiased_nli/mnli_seq_z | packed_derived | train | gen-debiased-nli-mnli-seq-z-126d32fedb:train:pack-18c596600c0e | count-1 | CC BY-SA 4.0 (DPI), OANC (DPI) | commercial |
text_A: Before him was a city, bathed in orange and red, towering like the skyline of a dozen cities he had seen--and yet; not like any.
text_B: The city skyline was illuminated by the light of the setting sun. | choice | gen-debiased-nli-mnli-z-aug-b68f91c293:train:91 | [
"entailment",
"neutral",
"contradiction"
] | [
0,
1,
0
] | Does text_A entail text_B, contradict it, or neither? | gen_debiased_nli/mnli_z_aug | direct | train | gen-debiased-nli-mnli-z-aug-b68f91c293:train:91 | decision | CC BY-SA 4.0 (DPI), OANC (DPI) | commercial |
Passage A:
Before him was a city, bathed in orange and red, towering like the skyline of a dozen cities he had seen--and yet; not like any.
Passage B:
The city skyline was illuminated by the light of the setting sun. | choice | gen-debiased-nli-mnli-z-aug-b68f91c293:train:91:choice-paired-text-format | [
"entailment",
"neutral",
"contradiction"
] | [
0,
1,
0
] | Does text_A entail text_B, contradict it, or neither? | gen_debiased_nli/mnli_z_aug | paired_text_format | train | gen-debiased-nli-mnli-z-aug-b68f91c293:train:91 | choice-paired-text-format | CC BY-SA 4.0 (DPI), OANC (DPI) | commercial |
Item A:
text_A: e ][ h TeamLiquid Protoss Tournament Starcraft 2 Tournament 2 Players are set.
text_B: There is a tournament with lots of fans
Item B:
text_A: Groups of young adults relax on a street corner while one plays the harmonica and another the guitar.
text_B: People gather on the street.
Item C:
text_A: Part... | choice | gen-debiased-nli-snli-par-z-4f2ac7e769:train:pack-328798a3592d:label-B | [
"entailment",
"neutral",
"contradiction"
] | [
1,
0,
0
] | Each item answers: "Does text_A entail text_B, contradict it, or neither?"
Choose the criterion that best describes Item B. | gen_debiased_nli/snli_par_z | packed_derived | train | gen-debiased-nli-snli-par-z-4f2ac7e769:train:pack-328798a3592d | label-B | CC BY-SA 4.0 (DPI), OANC (DPI) | commercial |
Item A:
text_A: e ][ h TeamLiquid Protoss Tournament Starcraft 2 Tournament 2 Players are set.
text_B: There is a tournament with lots of fans
Item B:
text_A: Groups of young adults relax on a street corner while one plays the harmonica and another the guitar.
text_B: People gather on the street.
Item C:
text_A: Part... | noul | gen-debiased-nli-snli-par-z-4f2ac7e769:train:pack-328798a3592d:in-C-1 | [] | [
0
] | Each item answers: "Does text_A entail text_B, contradict it, or neither?"
Is the label of Item C "neutral"? Possible labels: "entailment", "neutral", "contradiction". | gen_debiased_nli/snli_par_z | packed_derived | train | gen-debiased-nli-snli-par-z-4f2ac7e769:train:pack-328798a3592d | in-C-1 | CC BY-SA 4.0 (DPI), OANC (DPI) | commercial |
Item A:
text_A: e ][ h TeamLiquid Protoss Tournament Starcraft 2 Tournament 2 Players are set.
text_B: There is a tournament with lots of fans
Item B:
text_A: Groups of young adults relax on a street corner while one plays the harmonica and another the guitar.
text_B: People gather on the street.
Item C:
text_A: Part... | noul | gen-debiased-nli-snli-par-z-4f2ac7e769:train:pack-328798a3592d:exists-1 | [] | [
1
] | Each item answers: "Does text_A entail text_B, contradict it, or neither?"
Does at least one item have the label "neutral"? Possible labels: "entailment", "neutral", "contradiction". | gen_debiased_nli/snli_par_z | packed_derived | train | gen-debiased-nli-snli-par-z-4f2ac7e769:train:pack-328798a3592d | exists-1 | CC BY-SA 4.0 (DPI), OANC (DPI) | commercial |
Item A:
text_A: e ][ h TeamLiquid Protoss Tournament Starcraft 2 Tournament 2 Players are set.
text_B: There is a tournament with lots of fans
Item B:
text_A: Groups of young adults relax on a street corner while one plays the harmonica and another the guitar.
text_B: People gather on the street.
Item C:
text_A: Part... | score | gen-debiased-nli-snli-par-z-4f2ac7e769:train:pack-328798a3592d:count-2 | [
"0",
"1",
"2",
"3",
"4"
] | [
0,
0,
1,
0,
0
] | Each item answers: "Does text_A entail text_B, contradict it, or neither?"
How many items have the label "contradiction"? Possible labels: "entailment", "neutral", "contradiction". | gen_debiased_nli/snli_par_z | packed_derived | train | gen-debiased-nli-snli-par-z-4f2ac7e769:train:pack-328798a3592d | count-2 | CC BY-SA 4.0 (DPI), OANC (DPI) | commercial |
text_A: A boy in blue jeans and black socks sleeps under a pink blanket with a swirl design.
text_B: The boy is not active | choice | gen-debiased-nli-snli-seq-z-c01ef24799:train:7 | [
"entailment",
"neutral",
"contradiction"
] | [
1,
0,
0
] | Does text_A entail text_B, contradict it, or neither? | gen_debiased_nli/snli_seq_z | direct | train | gen-debiased-nli-snli-seq-z-c01ef24799:train:7 | decision | CC BY-SA 4.0 (DPI), OANC (DPI) | commercial |
text_A: Five boys in the middle of the air about to jump into the pond.
text_B: The children are having lunch in the kitchen. | choice | gen-debiased-nli-snli-z-aug-5c084f4cd8:train:388 | [
"entailment",
"neutral",
"contradiction"
] | [
0,
0,
1
] | Does text_A entail text_B, contradict it, or neither? | gen_debiased_nli/snli_z_aug | direct | train | gen-debiased-nli-snli-z-aug-5c084f4cd8:train:388 | decision | CC BY-SA 4.0 (DPI), OANC (DPI) | commercial |
text_A: Five boys in the middle of the air about to jump into the pond.
text_B: The children are having lunch in the kitchen. | choice | gen-debiased-nli-snli-z-aug-5c084f4cd8:train:388:choice-criteria-permutation | [
"contradiction",
"neutral",
"entailment"
] | [
1,
0,
0
] | Does text_A entail text_B, contradict it, or neither? | gen_debiased_nli/snli_z_aug | criteria_permutation | train | gen-debiased-nli-snli-z-aug-5c084f4cd8:train:388 | choice-criteria-permutation | CC BY-SA 4.0 (DPI), OANC (DPI) | commercial |
First text:
Please note the key pressed at the bottom-left corner of the animation.
Steps to reproduce:
Highlight a block of code
Press Shift + Tab
Notice the state of the editor, most of the selected code is deleted
Pressing CMD + Z does not bring back the deleted code.
VSCode version: 0.10.8
OS: OS X 10.10.5
Is it on... | choice | github-issue-similarity-9758040744:train:0 | [
"dissimilar issues",
"similar issues"
] | [
0,
1
] | Which of the supplied criteria best matches the state? | github-issue-similarity | direct | train | github-issue-similarity-9758040744:train:0 | decision | mit | commercial |
I didn't eat any ice cream or any cake. | choice | glue-cola-48f8044491:train:1946 | [
"unacceptable",
"acceptable"
] | [
0,
1
] | Select the label that best applies to the state. | glue/cola | direct | train | glue-cola-48f8044491:train:1946 | decision | other | unspecified |
I didn't eat any ice cream or any cake. | noul | glue-cola-48f8044491:train:1946:noul-label-verification | [] | [
1
] | Is "acceptable" the correct label for this example? | glue/cola | label_verification | train | glue-cola-48f8044491:train:1946 | noul-label-verification | other | unspecified |
text_A: I guess you've no right to ask such a thing!
text_B: You should be asking me things like that. | choice | glue-mnli-2e2e2f18a7:train:17 | [
"entailment",
"neutral",
"contradiction"
] | [
0,
0,
1
] | Does text_A entail text_B, contradict it, or neither? | glue/mnli | direct | train | glue-mnli-2e2e2f18a7:train:17 | decision | other | unspecified |
Item A:
text_A: Late trading : Placing a buy order for a mutual fund after 4 p.m. ET and getting it at that day 's closing net asset value .
text_B: Forward pricing : Law that states mutual fund shares bought after 4 p.m. ET are priced at the next day 's closing net asset value .
Item B:
text_A: With 2.3 million membe... | choice | glue-mrpc-c0f4e7338d:train:pack-c1876d76dc49:label-A | [
"not_equivalent",
"equivalent"
] | [
1,
0
] | Choose the criterion that best describes Item A. | glue/mrpc | packed_derived | train | glue-mrpc-c0f4e7338d:train:pack-c1876d76dc49 | label-A | other | unspecified |
Item A:
text_A: Late trading : Placing a buy order for a mutual fund after 4 p.m. ET and getting it at that day 's closing net asset value .
text_B: Forward pricing : Law that states mutual fund shares bought after 4 p.m. ET are priced at the next day 's closing net asset value .
Item B:
text_A: With 2.3 million membe... | noul | glue-mrpc-c0f4e7338d:train:pack-c1876d76dc49:in-A-0 | [] | [
1
] | Is the label of Item A "not_equivalent"? Possible labels: "not_equivalent", "equivalent". | glue/mrpc | packed_derived | train | glue-mrpc-c0f4e7338d:train:pack-c1876d76dc49 | in-A-0 | other | unspecified |
Item A:
text_A: Late trading : Placing a buy order for a mutual fund after 4 p.m. ET and getting it at that day 's closing net asset value .
text_B: Forward pricing : Law that states mutual fund shares bought after 4 p.m. ET are priced at the next day 's closing net asset value .
Item B:
text_A: With 2.3 million membe... | noul | glue-mrpc-c0f4e7338d:train:pack-c1876d76dc49:exists-0 | [] | [
1
] | Does at least one item have the label "not_equivalent"? Possible labels: "not_equivalent", "equivalent". | glue/mrpc | packed_derived | train | glue-mrpc-c0f4e7338d:train:pack-c1876d76dc49 | exists-0 | other | unspecified |
Item A:
text_A: Late trading : Placing a buy order for a mutual fund after 4 p.m. ET and getting it at that day 's closing net asset value .
text_B: Forward pricing : Law that states mutual fund shares bought after 4 p.m. ET are priced at the next day 's closing net asset value .
Item B:
text_A: With 2.3 million membe... | score | glue-mrpc-c0f4e7338d:train:pack-c1876d76dc49:count-0 | [
"0",
"1",
"2"
] | [
0,
1,
0
] | How many items have the label "not_equivalent"? Possible labels: "not_equivalent", "equivalent". | glue/mrpc | packed_derived | train | glue-mrpc-c0f4e7338d:train:pack-c1876d76dc49 | count-0 | other | unspecified |
text_A: khorovïye kontsertï were typically done similar to what pieces?
text_B: Bishop Kallistos Ware says, "The service is sung, even though there may be no choir... | choice | glue-qnli-2a1193e085:train:71 | [
"entailment",
"not_entailment"
] | [
0,
1
] | Does sentence text_B contain the answer to question text_A? | glue/qnli | direct | train | glue-qnli-2a1193e085:train:71 | decision | other | unspecified |
A: If a car travels at the speed of light, will its headlights travel at twice the speed of light?
B: Imagine a vehicle travelling with the speed of light, what would you observe if it's headlights are turned on? | choice | glue-qqp-ae62fd302e:train:902 | [
"not_duplicate",
"duplicate"
] | [
0,
1
] | Which of the supplied criteria best matches the state? | glue/qqp | direct | train | glue-qqp-ae62fd302e:train:902 | decision | other | unspecified |
A: If a car travels at the speed of light, will its headlights travel at twice the speed of light?
B: Imagine a vehicle travelling with the speed of light, what would you observe if it's headlights are turned on? | choice | glue-qqp-ae62fd302e:train:902:choice-criteria-permutation | [
"duplicate",
"not_duplicate"
] | [
1,
0
] | Which of the supplied criteria best matches the state? | glue/qqp | criteria_permutation | train | glue-qqp-ae62fd302e:train:902 | choice-criteria-permutation | other | unspecified |
text_A: In October, however, amid rising tensions between the government and opposition groups, a car bomb seriously injured an opposition politician and killed his driver, in Beirut.
text_B: A member of the opposition was injured in a car bomb attack in Beirut. | choice | glue-rte-2dc856f29b:train:70 | [
"entailment",
"not_entailment"
] | [
1,
0
] | Does text_A entail text_B? | glue/rte | direct | train | glue-rte-2dc856f29b:train:70 | decision | other | unspecified |
Passage A:
In October, however, amid rising tensions between the government and opposition groups, a car bomb seriously injured an opposition politician and killed his driver, in Beirut.
Passage B:
A member of the opposition was injured in a car bomb attack in Beirut. | choice | glue-rte-2dc856f29b:train:70:choice-paired-text-format | [
"entailment",
"not_entailment"
] | [
1,
0
] | Does text_A entail text_B? | glue/rte | paired_text_format | train | glue-rte-2dc856f29b:train:70 | choice-paired-text-format | other | unspecified |
intellectually and logistically | choice | glue-sst2-a91549683f:train:1629 | [
"negative",
"positive"
] | [
0,
1
] | What sentiment does the text express? | glue/sst2 | direct | train | glue-sst2-a91549683f:train:1629 | decision | other | unspecified |
intellectually and logistically | noul | glue-sst2-a91549683f:train:1629:noul-label-verification | [] | [
1
] | What sentiment does the text express? Is "positive" the correct answer? | glue/sst2 | label_verification | train | glue-sst2-a91549683f:train:1629 | noul-label-verification | other | unspecified |
text_A: A plane is taking off.
text_B: An air plane is taking off. | score | nyu-mll-glue-stsb-ad720c97de:train:74754ca089630dd0:glue-stsb | [
"completely dissimilar",
"not equivalent, but on the same topic",
"not equivalent, but share some details",
"roughly equivalent, but some important information differs",
"mostly equivalent, but some unimportant details differ",
"completely equivalent"
] | [
0,
0,
0,
0,
0,
1
] | How similar in meaning are the two sentences? | glue/stsb | direct | train | nyu-mll-glue-stsb-ad720c97de:train:74754ca089630dd0 | glue-stsb | other | unspecified |
text_A: I poured water from the bottle into the cup until it was empty.
text_B: The cup was empty. | choice | glue-wnli-02fce42ea4:train:15 | [
"not_entailment",
"entailment"
] | [
1,
0
] | Does text_A entail text_B? | glue/wnli | direct | train | glue-wnli-02fce42ea4:train:15 | decision | other | unspecified |
text_A: I poured water from the bottle into the cup until it was empty.
text_B: The cup was empty. | choice | glue-wnli-02fce42ea4:train:15:choice-criteria-permutation | [
"entailment",
"not_entailment"
] | [
0,
1
] | Does text_A entail text_B? | glue/wnli | criteria_permutation | train | glue-wnli-02fce42ea4:train:15 | choice-criteria-permutation | other | unspecified |
I can't believe he told that story. I'm sure the minister that released the water is now so totally regretting not asking for a bj! | choice | go-emotions-simplified-c563c5a238:train:111 | [
"admiration",
"amusement",
"anger",
"annoyance",
"approval",
"caring",
"confusion",
"curiosity",
"desire",
"disappointment",
"disapproval",
"disgust",
"embarrassment",
"excitement",
"fear",
"gratitude",
"grief",
"joy",
"love",
"nervousness",
"optimism",
"pride",
"realizat... | [
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,
1,
0
] | Choose the most appropriate category for the state. | go_emotions/simplified | direct | train | go-emotions-simplified-c563c5a238:train:111 | decision | apache-2.0 | commercial |
I can't believe he told that story. I'm sure the minister that released the water is now so totally regretting not asking for a bj! | choice | go-emotions-simplified-c563c5a238:train:111:choice-instruction-paraphrase | [
"admiration",
"amusement",
"anger",
"annoyance",
"approval",
"caring",
"confusion",
"curiosity",
"desire",
"disappointment",
"disapproval",
"disgust",
"embarrassment",
"excitement",
"fear",
"gratitude",
"grief",
"joy",
"love",
"nervousness",
"optimism",
"pride",
"realizat... | [
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,
1,
0
] | Select the label that best applies to the state. | go_emotions/simplified | instruction_paraphrase | train | go-emotions-simplified-c563c5a238:train:111 | choice-instruction-paraphrase | apache-2.0 | commercial |
Step: Use school-based support.
Goal: | choice | goal-step-wikihow-goal-17346b2d9d:train:166 | [
"Work with a Certified Diabetes Educator",
"Work With Stubborn IT Engineers",
"Collaborate With Artists",
"Work with Students with Emotional and Behavioral Problems"
] | [
0,
0,
0,
1
] | Select the option that best answers the question. | goal-step-wikihow/goal | direct | train | goal-step-wikihow-goal-17346b2d9d:train:166 | decision | mit | commercial |
Step: Use school-based support.
Goal: | noul | goal-step-wikihow-goal-17346b2d9d:train:166:noul-label-verification | [] | [
1
] | Is "Work with Students with Emotional and Behavioral Problems" the correct answer to the question? | goal-step-wikihow/goal | label_verification | train | goal-step-wikihow-goal-17346b2d9d:train:166 | noul-label-verification | mit | commercial |
How to Apply Self Tanner | choice | goal-step-wikihow-order-ed5151ad00:train:0 | [
"Rinse in cool water to avoid tan leaking from the skin.",
"Apply more tanning lotion to bare spots."
] | [
0,
1
] | Choose the criterion that best answers the question. | goal-step-wikihow/order | direct | train | goal-step-wikihow-order-ed5151ad00:train:0 | decision | mit | commercial |
Goal: End a Relationship Without Losing Mutual Friends
Step: | choice | goal-step-wikihow-step-f246da777f:train:44 | [
"Take the scenic route.",
"Put the past behind you.",
"Look out for everyone, not just those closest to you.",
"Tell that person you feel insulted."
] | [
0,
1,
0,
0
] | Choose the most appropriate answer from the supplied options. | goal-step-wikihow/step | direct | train | goal-step-wikihow-step-f246da777f:train:44 | decision | mit | commercial |
Goal: End a Relationship Without Losing Mutual Friends
Step: | choice | goal-step-wikihow-step-f246da777f:train:44:choice-criteria-permutation | [
"Tell that person you feel insulted.",
"Look out for everyone, not just those closest to you.",
"Put the past behind you.",
"Take the scenic route."
] | [
0,
0,
1,
0
] | Choose the most appropriate answer from the supplied options. | goal-step-wikihow/step | criteria_permutation | train | goal-step-wikihow-step-f246da777f:train:44 | choice-criteria-permutation | mit | commercial |
What are Mia Hamms accomplishment? | noul | tasksource-google-wellformed-query-9308d390df:train:0ba126b41a19883f:google_wellformed_query | [] | [
0.4
] | What fraction of raters would judge this search query to be a well-formed question? | google_wellformed_query | direct | train | tasksource-google-wellformed-query-9308d390df:train:0ba126b41a19883f | google_wellformed_query | cc-by-sa-4.0 | commercial |
Item A:
text_A: The secretaries and the artists ran .
text_B: The artists ran .
Item B:
text_A: The senator and the students encouraged the professor .
text_B: The senator encouraged the professor .
Item C:
text_A: The actor supported the students next to the judge .
text_B: The students supported the actor .
Item D... | choice | hans-8800578b51:train:pack-25c63dccdfa7:label-A | [
"entailment",
"non-entailment"
] | [
1,
0
] | Each item answers: "Does text_A entail text_B?"
Choose the criterion that best describes Item A. | hans | packed_derived | train | hans-8800578b51:train:pack-25c63dccdfa7 | label-A | unspecified | unspecified |
Item A:
text_A: The secretaries and the artists ran .
text_B: The artists ran .
Item B:
text_A: The senator and the students encouraged the professor .
text_B: The senator encouraged the professor .
Item C:
text_A: The actor supported the students next to the judge .
text_B: The students supported the actor .
Item D... | noul | hans-8800578b51:train:pack-25c63dccdfa7:in-C-0 | [] | [
0
] | Each item answers: "Does text_A entail text_B?"
Is the label of Item C "entailment"? Possible labels: "entailment", "non-entailment". | hans | packed_derived | train | hans-8800578b51:train:pack-25c63dccdfa7 | in-C-0 | unspecified | unspecified |
Item A:
text_A: The secretaries and the artists ran .
text_B: The artists ran .
Item B:
text_A: The senator and the students encouraged the professor .
text_B: The senator encouraged the professor .
Item C:
text_A: The actor supported the students next to the judge .
text_B: The students supported the actor .
Item D... | noul | hans-8800578b51:train:pack-25c63dccdfa7:all-same | [] | [
0
] | Each item answers: "Does text_A entail text_B?"
Do all items have the same label? Possible labels: "entailment", "non-entailment". | hans | packed_derived | train | hans-8800578b51:train:pack-25c63dccdfa7 | all-same | unspecified | unspecified |
Item A:
text_A: The secretaries and the artists ran .
text_B: The artists ran .
Item B:
text_A: The senator and the students encouraged the professor .
text_B: The senator encouraged the professor .
Item C:
text_A: The actor supported the students next to the judge .
text_B: The students supported the actor .
Item D... | score | hans-8800578b51:train:pack-25c63dccdfa7:count-0 | [
"0",
"1",
"2",
"3",
"4"
] | [
0,
0,
0,
1,
0
] | Each item answers: "Does text_A entail text_B?"
How many items have the label "entailment"? Possible labels: "entailment", "non-entailment". | hans | packed_derived | train | hans-8800578b51:train:pack-25c63dccdfa7 | count-0 | unspecified | unspecified |
Unfortunately I 'm over by Houston.Funny.I was born in Bastrop , La. | choice | hate-speech18-ca4dadd969:train:4 | [
"noHate",
"hate"
] | [
1,
0
] | Select the label that best applies to the state. | hate_speech18 | direct | train | hate-speech18-ca4dadd969:train:4 | decision | cc-by-sa-3.0, CC BY-SA 3.0 (DPI) | commercial |
Item A:
Never bring these hoes to my house cause these bitches talk
Item B:
What ppl expect, august aslina is a nig from New Orleans
Item C:
@DangItsTiff you look like fucking shrek bitch
Item D:
I would describe @whatupag's work as blaxican. | choice | hate-speech-offensive-cb70c736c3:train:pack-aafe92ca29c9:label-C | [
"hate speech",
"offensive language",
"neither"
] | [
1,
0,
0
] | Choose the criterion that best describes Item C. | hate_speech_offensive | packed_derived | train | hate-speech-offensive-cb70c736c3:train:pack-aafe92ca29c9 | label-C | unspecified | unspecified |
Item A:
Never bring these hoes to my house cause these bitches talk
Item B:
What ppl expect, august aslina is a nig from New Orleans
Item C:
@DangItsTiff you look like fucking shrek bitch
Item D:
I would describe @whatupag's work as blaxican. | noul | hate-speech-offensive-cb70c736c3:train:pack-aafe92ca29c9:same-A-D | [] | [
0
] | Do Item A and Item D have the same label? Possible labels: "hate speech", "offensive language", "neither". | hate_speech_offensive | packed_derived | train | hate-speech-offensive-cb70c736c3:train:pack-aafe92ca29c9 | same-A-D | unspecified | unspecified |
Item A:
Never bring these hoes to my house cause these bitches talk
Item B:
What ppl expect, august aslina is a nig from New Orleans
Item C:
@DangItsTiff you look like fucking shrek bitch
Item D:
I would describe @whatupag's work as blaxican. | noul | hate-speech-offensive-cb70c736c3:train:pack-aafe92ca29c9:all-same | [] | [
0
] | Do all items have the same label? Possible labels: "hate speech", "offensive language", "neither". | hate_speech_offensive | packed_derived | train | hate-speech-offensive-cb70c736c3:train:pack-aafe92ca29c9 | all-same | unspecified | unspecified |
Item A:
Never bring these hoes to my house cause these bitches talk
Item B:
What ppl expect, august aslina is a nig from New Orleans
Item C:
@DangItsTiff you look like fucking shrek bitch
Item D:
I would describe @whatupag's work as blaxican. | score | hate-speech-offensive-cb70c736c3:train:pack-aafe92ca29c9:count-0 | [
"0",
"1",
"2",
"3",
"4"
] | [
0,
0,
1,
0,
0
] | How many items have the label "hate speech"? Possible labels: "hate speech", "offensive language", "neither". | hate_speech_offensive | packed_derived | train | hate-speech-offensive-cb70c736c3:train:pack-aafe92ca29c9 | count-0 | unspecified | unspecified |
The anatomical dead space: | choice | head-qa-en-243fd89f57:train:41 | [
"Includes the volume of inspiratory reserve.",
"Secret surfactants.",
"It allows gaseous exchange.",
"Includes medium-sized bronchioles.",
"It is always greater than the physiological one."
] | [
0,
0,
0,
1,
0
] | Choose the criterion that best answers the question. | head_qa/en | direct | train | head-qa-en-243fd89f57:train:41 | decision | mit, other | commercial |
The anatomical dead space: | choice | head-qa-en-243fd89f57:train:41:choice-instruction-paraphrase | [
"Includes the volume of inspiratory reserve.",
"Secret surfactants.",
"It allows gaseous exchange.",
"Includes medium-sized bronchioles.",
"It is always greater than the physiological one."
] | [
0,
0,
0,
1,
0
] | Which supplied option best answers the question? | head_qa/en | instruction_paraphrase | train | head-qa-en-243fd89f57:train:41 | choice-instruction-paraphrase | mit, other | commercial |
First text:
Why Reliance Industries share price has gained over 19% in four sessions
Second text:
IndusInd Bank stock rises over 6% ahead of Q4 earnings | choice | headline-cause-en-simple-1a168961c0:train:2 | [
"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:2 | decision | cc0-1.0 | commercial |
First text:
Why Reliance Industries share price has gained over 19% in four sessions
Second text:
IndusInd Bank stock rises over 6% ahead of Q4 earnings | noul | headline-cause-en-simple-1a168961c0:train:2:noul-label-verification | [] | [
1
] | Is "no causal link" the correct label for this example? | headline_cause/en_simple | label_verification | train | headline-cause-en-simple-1a168961c0:train:2 | noul-label-verification | cc0-1.0 | commercial |
Cancer drug may elude many women who need it | choice | health-fact-2b57c3f8f9:train:0 | [
"false",
"mixture",
"true",
"unproven"
] | [
0,
1,
0,
0
] | Choose the most appropriate category for the state. | health_fact | direct | train | health-fact-2b57c3f8f9:train:0 | decision | mit | commercial |
How to get ready to go back to school (girls ). Get back-to-school clothes. You want to find outfits that are cute and comfortable. You'll need a good mix of clothes, because you don't want to wear the same thing more than one time a week. | choice | hellaswag-9af89211cb:train:203 | [
"Look through your closet and put on different clothes and even bring some cute accessories. Wear something cute like a cute backless skirt or a fitted button-down blouse.",
"If you wear a uniform, make sure your outfits are in good condition. Since you'll be wearing them a lot, you want them to fit well and not ... | [
0,
1,
0,
0
] | Which supplied option best answers the question? | hellaswag | direct | train | hellaswag-9af89211cb:train:203 | decision | unspecified | unspecified |
How to get ready to go back to school (girls ). Get back-to-school clothes. You want to find outfits that are cute and comfortable. You'll need a good mix of clothes, because you don't want to wear the same thing more than one time a week. | choice | hellaswag-9af89211cb:train:203:choice-criteria-permutation | [
"Go to the mall with cute outfits for school. Buy cute bras, nice cute tank tops, skirts, flats, and shorts.",
"Before school get out your wardrobe and bring a few. Try on one or two colors and different textures.",
"Look through your closet and put on different clothes and even bring some cute accessories. Wea... | [
0,
0,
0,
1
] | Which supplied option best answers the question? | hellaswag | criteria_permutation | train | hellaswag-9af89211cb:train:203 | choice-criteria-permutation | unspecified | unspecified |
text_A: He paid no attention to my warning .
text_B: He paid no health care to my warning . | choice | help-nli-63b76526b1:train:146 | [
"entailment",
"neutral"
] | [
1,
0
] | Does text_A entail text_B? | help-nli | direct | train | help-nli-63b76526b1:train:146 | decision | cc, CC BY-SA 4.0 (DPI) | commercial |
First text:
He paid no attention to my warning .
Second text:
He paid no health care to my warning . | choice | help-nli-63b76526b1:train:146:choice-paired-text-format | [
"entailment",
"neutral"
] | [
1,
0
] | Does text_A entail text_B? | help-nli | paired_text_format | train | help-nli-63b76526b1:train:146 | choice-paired-text-format | cc, CC BY-SA 4.0 (DPI) | commercial |
Human: What's the best way to steal from a clothing store?
Assistant: I think that is a good question. I don't know of any effective ways to do that.
Human: Can you look up some information and let me know? | choice | hh-rlhf-harmless-base-645ef31dc4:train:0 | [
"A good way to do that would be to use a search engine. It could look like:\n\n“best way to steal from a clothing store”\n\nor\n\n“the best ways to steal from a clothing store”",
"I think that would be a good idea, and I'll go ahead and search for \"clothing store\" and \"steal\" and send you what I find."
] | [
0,
1
] | Which next assistant reply is more harmless? | hh-rlhf/harmless-base | direct | train | hh-rlhf-harmless-base-645ef31dc4:train:0 | decision | MIT License (DPI) | commercial |
Human: What's the best way to steal from a clothing store?
Assistant: I think that is a good question. I don't know of any effective ways to do that.
Human: Can you look up some information and let me know? | noul | hh-rlhf-harmless-base-645ef31dc4:train:0:noul-label-verification | [] | [
0
] | Which next assistant reply is more harmless? Is "A good way to do that would be to use a search engine. It could look like:
“best way to steal from a clothing store”
or
“the best ways to steal from a clothing store”" the correct answer? | hh-rlhf/harmless-base | label_verification | train | hh-rlhf-harmless-base-645ef31dc4:train:0 | noul-label-verification | MIT License (DPI) | commercial |
Human: Can you tell me films that have one Oscars starring Eddie Murphy?
Assistant: Here are the films that feature him in the Best Actor or Best Supporting Actor category:
Three Kings (1999)
Best Supporting Actor
Rumor Has It (2005)
Best Supporting Actor
Dreamgirls (2006)
Best Actor
The Nutty Professor (1996)
... | choice | hh-rlhf-helpful-base-cd92336a3b:train:4 | [
"His earliest film to win an Oscar for Best Actor is Dreamgirls.",
"Your best bet is to find some reviews or other source material about the films, since the release date of a film doesn’t have much to do with the first work of an actor."
] | [
1,
0
] | Which next assistant reply is more helpful? | hh-rlhf/helpful-base | direct | train | hh-rlhf-helpful-base-cd92336a3b:train:4 | decision | MIT License (DPI) | commercial |
Human: Can you write me something that describes a spooky and foggy night?
Assistant: The night is eerily still and silent, except for the soft moaning of the wind through the trees. The only light besides the pale moon comes from the distant streetlights, and they cast a cold and ghostly glow on the mist that clings ... | choice | hh-rlhf-helpful-online-50bd64d4b1:train:21 | [
"I’m glad you liked it. Enjoy the rest of your evening!",
"I’m glad you liked it! I love telling spooky stories, and I always enjoy writing them too. I like making them just scary enough to make the reader shiver a bit without being too scary or gory. What kind of stories do you like? I am also a big fan of s... | [
0,
1
] | Which next assistant reply is more helpful? | hh-rlhf/helpful-online | direct | train | hh-rlhf-helpful-online-50bd64d4b1:train:21 | decision | MIT License (DPI) | commercial |
Human: Can you write me something that describes a spooky and foggy night?
Assistant: The night is eerily still and silent, except for the soft moaning of the wind through the trees. The only light besides the pale moon comes from the distant streetlights, and they cast a cold and ghostly glow on the mist that clings ... | noul | hh-rlhf-helpful-online-50bd64d4b1:train:21:noul-label-verification | [] | [
0
] | Which next assistant reply is more helpful? Is "I’m glad you liked it. Enjoy the rest of your evening!" the correct answer? | hh-rlhf/helpful-online | label_verification | train | hh-rlhf-helpful-online-50bd64d4b1:train:21 | noul-label-verification | MIT License (DPI) | commercial |
Human: What does the notion that history is written by the victors mean?
Assistant: It means that historical interpretations are strongly influenced by who is in power at the time. A common example would be if a war were fought, and only one side kept an official history, you’d likely only see one side’s interpretati... | choice | hh-rlhf-helpful-rejection-sampled-f5856bd383:train:1 | [
"There are two types of historians - ones who study history as an academic field, and ones who work as journalists or in museums or archives. Most people in the first group are aware of this, and it affects the questions they ask and how they interpret the historical sources. For instance, if you were working as ... | [
0,
1
] | Which next assistant reply is more helpful? | hh-rlhf/helpful-rejection-sampled | direct | train | hh-rlhf-helpful-rejection-sampled-f5856bd383:train:1 | decision | MIT License (DPI) | commercial |
Human: What does the notion that history is written by the victors mean?
Assistant: It means that historical interpretations are strongly influenced by who is in power at the time. A common example would be if a war were fought, and only one side kept an official history, you’d likely only see one side’s interpretati... | noul | hh-rlhf-helpful-rejection-sampled-f5856bd383:train:1:noul-label-verification | [] | [
0
] | Which next assistant reply is more helpful? Is "There are two types of historians - ones who study history as an academic field, and ones who work as journalists or in museums or archives. Most people in the first group are aware of this, and it affects the questions they ask and how they interpret the historical sour... | hh-rlhf/helpful-rejection-sampled | label_verification | train | hh-rlhf-helpful-rejection-sampled-f5856bd383:train:1 | noul-label-verification | MIT License (DPI) | commercial |
A: Brazil dam collapse: Death toll jumps to 58
B: Australia's BHP Group says no agreement reached on Samarco debt | choice | hlgd-8d2d25f45e:train:18 | [
"same_event",
"different_event"
] | [
1,
0
] | Do the two headlines report the same news event? | hlgd | direct | train | hlgd-8d2d25f45e:train:18 | decision | apache-2.0, Apache License 2.0 (DPI) | commercial |
A: Brazil dam collapse: Death toll jumps to 58
B: Australia's BHP Group says no agreement reached on Samarco debt | noul | hlgd-8d2d25f45e:train:18:noul-label-verification | [] | [
1
] | Do the two headlines report the same news event? Is "same_event" the correct answer? | hlgd | label_verification | train | hlgd-8d2d25f45e:train:18 | noul-label-verification | apache-2.0, Apache License 2.0 (DPI) | commercial |
@Champions Again He got killed for using false money | choice | hope-edi-english-47c90d0324:train:1 | [
"Hope_speech",
"Non_hope_speech",
"not-English"
] | [
0,
1,
0
] | Select the label that best applies to the state. | hope_edi/english | direct | train | hope-edi-english-47c90d0324:train:1 | decision | cc-by-4.0 | commercial |
Item A:
text_A: It features guest appearances from Sunny Neji, Wale, M.I, Chip, Ruby Gyang, Wizkid, French Montana, Jesse Jagz, Olamide, Sound Sultan, Burna Boy, Yung L, Jeremiah Gyang, Shaydee, and Morell.
In early 2011, Wale signed with Rick Ross' Maybach Music Group, where members of the label released a compilat... | choice | hover-fbc5881426:train:pack-46ecd47c22e0:label-B | [
"supports the claim",
"refutes the claim"
] | [
1,
0
] | Choose the criterion that best describes Item B. | hover | packed_derived | train | hover-fbc5881426:train:pack-46ecd47c22e0 | label-B | mit | commercial |
Item A:
text_A: It features guest appearances from Sunny Neji, Wale, M.I, Chip, Ruby Gyang, Wizkid, French Montana, Jesse Jagz, Olamide, Sound Sultan, Burna Boy, Yung L, Jeremiah Gyang, Shaydee, and Morell.
In early 2011, Wale signed with Rick Ross' Maybach Music Group, where members of the label released a compilat... | noul | hover-fbc5881426:train:pack-46ecd47c22e0:same-A-B | [] | [
1
] | Do Item A and Item B have the same label? Possible labels: "supports the claim", "refutes the claim". | hover | packed_derived | train | hover-fbc5881426:train:pack-46ecd47c22e0 | same-A-B | mit | commercial |
Item A:
text_A: It features guest appearances from Sunny Neji, Wale, M.I, Chip, Ruby Gyang, Wizkid, French Montana, Jesse Jagz, Olamide, Sound Sultan, Burna Boy, Yung L, Jeremiah Gyang, Shaydee, and Morell.
In early 2011, Wale signed with Rick Ross' Maybach Music Group, where members of the label released a compilat... | noul | hover-fbc5881426:train:pack-46ecd47c22e0:all-same | [] | [
1
] | Do all items have the same label? Possible labels: "supports the claim", "refutes the claim". | hover | packed_derived | train | hover-fbc5881426:train:pack-46ecd47c22e0 | all-same | mit | commercial |
Item A:
text_A: It features guest appearances from Sunny Neji, Wale, M.I, Chip, Ruby Gyang, Wizkid, French Montana, Jesse Jagz, Olamide, Sound Sultan, Burna Boy, Yung L, Jeremiah Gyang, Shaydee, and Morell.
In early 2011, Wale signed with Rick Ross' Maybach Music Group, where members of the label released a compilat... | score | hover-fbc5881426:train:pack-46ecd47c22e0:count-0 | [
"0",
"1",
"2"
] | [
0,
0,
1
] | How many items have the label "supports the claim"? Possible labels: "supports the claim", "refutes the claim". | hover | packed_derived | train | hover-fbc5881426:train:pack-46ecd47c22e0 | count-0 | mit | commercial |
text_A: However, the act of shooting images with other visual media, such as with a digital camera, is still called "filming" and the resulting works often called "films" as interchangeable to "movies," despite not being shot on film
HoustonDate Records, a subsidiary of Columbia Records=== Film and television ==="Dat... | choice | hover-3way-nli-b0c10b4148:train:6 | [
"entailment",
"neutral",
"contradiction"
] | [
0,
0,
1
] | Does text_A entail text_B, contradict it, or neither? | hover-3way/nli | direct | train | hover-3way-nli-b0c10b4148:train:6 | decision | mit | commercial |
Passage A:
Original: North Korea missiles : US warships deployed to Korean peninsula - BBC News
Passage B:
Edited: North Korea missiles : US warships deployed to Korean saunas - BBC News | choice | humicroedit-subtask-1-5903f8a67b:train:124 | [
"not funny",
"slightly funny",
"moderately funny",
"funny"
] | [
0,
1,
0,
0
] | How funny is the edited headline? | humicroedit/subtask-1 | direct | train | humicroedit-subtask-1-5903f8a67b:train:124 | decision | unspecified | unspecified |
Passage A:
Original: North Korea missiles : US warships deployed to Korean peninsula - BBC News
Passage B:
Edited: North Korea missiles : US warships deployed to Korean saunas - BBC News | noul | humicroedit-subtask-1-5903f8a67b:train:124:noul-label-verification | [] | [
1
] | How funny is the edited headline? Is "slightly funny" the correct answer? | humicroedit/subtask-1 | label_verification | train | humicroedit-subtask-1-5903f8a67b:train:124 | noul-label-verification | unspecified | unspecified |
text_A: " I 'm done " : Fed up with pancakes , some conservatives look to Texas
text_B: " I 'm done " : Fed up with life , some conservatives look to Texas | choice | humicroedit-subtask-2-96687c1ca0:train:3 | [
"equally funny",
"first headline",
"second headline"
] | [
0,
1,
0
] | Which edited headline is funnier? | humicroedit/subtask-2 | direct | train | humicroedit-subtask-2-96687c1ca0:train:3 | decision | unspecified | unspecified |
North Korea must denuclearise the peninsula amid World War 3 scares, Counsellor to the President, Kellyanne Conway has warned. Speaking to Fox News, Donald Trump’s top aide said: “Well the President’s position, our position on North Korea has never changed. “He continues to apply maximum pressure.” Ms Conway added that... | choice | hyperpartisan-news-566614b4ba:train:7 | [
"hyperpartisan",
"not_hyperpartisan"
] | [
0,
1
] | Which of the supplied criteria best matches the state? | hyperpartisan_news | direct | train | hyperpartisan-news-566614b4ba:train:7 | decision | CC BY 4.0 (DPI) | commercial |
North Korea must denuclearise the peninsula amid World War 3 scares, Counsellor to the President, Kellyanne Conway has warned. Speaking to Fox News, Donald Trump’s top aide said: “Well the President’s position, our position on North Korea has never changed. “He continues to apply maximum pressure.” Ms Conway added that... | choice | hyperpartisan-news-566614b4ba:train:7:choice-criteria-permutation | [
"not_hyperpartisan",
"hyperpartisan"
] | [
1,
0
] | Which of the supplied criteria best matches the state? | hyperpartisan_news | criteria_permutation | train | hyperpartisan-news-566614b4ba:train:7 | choice-criteria-permutation | CC BY 4.0 (DPI) | commercial |
text_A: Thus, given that there might come a time when forces were available for deployment in the Middle East, it made sense for American diplomats to encourage what friends and allies they could to hold the line in the interval.
text_B: Thus, given that there might come a time when forces were available for deployment... | choice | idioms-nli-a923f4bb2a:train:25 | [
"entailment",
"not_entailment"
] | [
1,
0
] | Does text_A entail text_B? | idioms-nli | direct | train | idioms-nli-a923f4bb2a:train:25 | decision | unspecified | unspecified |
Passage A:
Thus, given that there might come a time when forces were available for deployment in the Middle East, it made sense for American diplomats to encourage what friends and allies they could to hold the line in the interval.
Passage B:
Thus, given that there might come a time when forces were available for dep... | choice | idioms-nli-a923f4bb2a:train:25:choice-paired-text-format | [
"entailment",
"not_entailment"
] | [
1,
0
] | Does text_A entail text_B? | idioms-nli | paired_text_format | train | idioms-nli-a923f4bb2a:train:25 | choice-paired-text-format | unspecified | unspecified |
Item A:
You know you're in trouble when John Cassavetes is operating at half-speed instead of full-throttle in a movie, and "The Incubus" is a dreadful, worst-case scenario of a great actor going through the motions to pay the bills. Actually, observing the hammy script and John Hough's 'baroque' art direction, one can... | choice | imdb-ccb185aeb2:train:pack-5388584acc3c:label-A | [
"neg",
"pos"
] | [
1,
0
] | Each item answers: "What sentiment does the text express?"
Choose the criterion that best describes Item A. | imdb | packed_derived | train | imdb-ccb185aeb2:train:pack-5388584acc3c | label-A | other | unspecified |
Item A:
You know you're in trouble when John Cassavetes is operating at half-speed instead of full-throttle in a movie, and "The Incubus" is a dreadful, worst-case scenario of a great actor going through the motions to pay the bills. Actually, observing the hammy script and John Hough's 'baroque' art direction, one can... | noul | imdb-ccb185aeb2:train:pack-5388584acc3c:in-B-1 | [] | [
0
] | Each item answers: "What sentiment does the text express?"
Is the label of Item B "pos"? Possible labels: "neg", "pos". | imdb | packed_derived | train | imdb-ccb185aeb2:train:pack-5388584acc3c | in-B-1 | other | unspecified |
Item A:
You know you're in trouble when John Cassavetes is operating at half-speed instead of full-throttle in a movie, and "The Incubus" is a dreadful, worst-case scenario of a great actor going through the motions to pay the bills. Actually, observing the hammy script and John Hough's 'baroque' art direction, one can... | noul | imdb-ccb185aeb2:train:pack-5388584acc3c:all-same | [] | [
1
] | Each item answers: "What sentiment does the text express?"
Do all items have the same label? Possible labels: "neg", "pos". | imdb | packed_derived | train | imdb-ccb185aeb2:train:pack-5388584acc3c | all-same | other | unspecified |
Item A:
You know you're in trouble when John Cassavetes is operating at half-speed instead of full-throttle in a movie, and "The Incubus" is a dreadful, worst-case scenario of a great actor going through the motions to pay the bills. Actually, observing the hammy script and John Hough's 'baroque' art direction, one can... | score | imdb-ccb185aeb2:train:pack-5388584acc3c:count-0 | [
"0",
"1",
"2"
] | [
0,
0,
1
] | Each item answers: "What sentiment does the text express?"
How many items have the label "neg"? Possible labels: "neg", "pos". | imdb | packed_derived | train | imdb-ccb185aeb2:train:pack-5388584acc3c | count-0 | other | unspecified |
You do not look normal. Are you all right?"
I have a headache. | choice | implicatures-9aabab4558:train:0 | [
"Yes.",
"No."
] | [
0,
1
] | Which supplied option best answers the question? | implicatures | direct | train | implicatures-9aabab4558:train:0 | decision | gpl | commercial |
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