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Detailed Instructions: Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Problem:name something a fireman keeps with him at all times.
Solution: | pager | task820_protoqa_answer_generation | NIv2 | zs_opt | 8 | train |
You will be given a definition of a task first, then some input of the task.
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
tell me another way people say "stoned".
Output: | high | task820_protoqa_answer_generation | NIv2 | zs_opt | 1 | train |
Q: Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
name a clothing designer who's world famous.
A: | calvin klein | task820_protoqa_answer_generation | NIv2 | zs_opt | 7 | train |
Q: Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
name something that gets plugged up.
A: | sink | task820_protoqa_answer_generation | NIv2 | zs_opt | 7 | train |
Detailed Instructions: Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Q: name something that people "pull down".
A: | shades | task820_protoqa_answer_generation | NIv2 | zs_opt | 9 | train |
Definition: Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Input: name something people throw away every day.
Output: | garbage | task820_protoqa_answer_generation | NIv2 | zs_opt | 2 | train |
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Q: name something you need to eat before it melts.
A: | ice cream | task820_protoqa_answer_generation | NIv2 | zs_opt | 4 | train |
Given the task definition and input, reply with output. Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
how might an employer find out about an applicant even before the interv... | resume | task820_protoqa_answer_generation | NIv2 | zs_opt | 5 | train |
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Example input: at the beach, name something that might protect you from sun.
Example output: umbrella
Example explanation: Umbre... | toys/dolls | task820_protoqa_answer_generation | NIv2 | fs_opt | 3 | test |
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
name a job someone with claustrophobia shouldn't do. | elevator operator | task820_protoqa_answer_generation | NIv2 | zs_opt | 0 | validation |
In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Input: Consider Input: Senten... | Output: Female
| task340_winomt_classification_gender_pro | NIv2 | fs_opt | 2 | train |
In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Example input: Sentence: The ... | Male | task340_winomt_classification_gender_pro | NIv2 | fs_opt | 3 | train |
Instructions: In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Input: Sentence:... | Male | task340_winomt_classification_gender_pro | NIv2 | zs_opt | 3 | train |
Detailed Instructions: In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Problem... | Male | task340_winomt_classification_gender_pro | NIv2 | zs_opt | 8 | train |
Teacher:In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Teacher: Now, understa... | Female | task340_winomt_classification_gender_pro | NIv2 | zs_opt | 6 | train |
In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Q: Sentence: The sheriff compl... | Male | task340_winomt_classification_gender_pro | NIv2 | zs_opt | 4 | train |
In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Example Input: Sentence: The ... | Female
| task340_winomt_classification_gender_pro | NIv2 | fs_opt | 3 | train |
In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Sentence: The laborer was ref... | Female
| task340_winomt_classification_gender_pro | NIv2 | fs_opt | 0 | train |
Given the task definition and input, reply with output. In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Sel... | Female | task340_winomt_classification_gender_pro | NIv2 | zs_opt | 5 | test |
Q: In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Sentence: The laborer told ... | Male | task340_winomt_classification_gender_pro | NIv2 | zs_opt | 7 | validation |
Given the task definition, example input & output, solve the new input case.
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts speci... | 18th place Latvia won 2 gold medals and 0 silver medals at the Military World Games. | task1409_dart_text_generation | NIv2 | fs_opt | 1 | train |
Teacher:In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understa... | The runway length of Al Asad Airbase is 3,992.88. | task1409_dart_text_generation | NIv2 | zs_opt | 6 | train |
Instructions: In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily un... | There were 250 laps and the race time was 3:31:24. | task1409_dart_text_generation | NIv2 | zs_opt | 3 | train |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | Output: Gangsters 2 was published by Eidos Interactive.
| task1409_dart_text_generation | NIv2 | fs_opt | 2 | train |
Detailed Instructions: In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence ... | Strada, located near the Rainbow Vegetarian Café, has a low customer rating, but it's Chinese at a lower price in a family friendly atmosphere. | task1409_dart_text_generation | NIv2 | fs_opt | 4 | train |
Teacher:In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understa... | The order # for the original artist sarah mclachlan is n / a. | task1409_dart_text_generation | NIv2 | zs_opt | 6 | train |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | The episode in which scientology was the Poll winner aired on September 3, 2008 | task1409_dart_text_generation | NIv2 | fs_opt | 9 | train |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | The Vaults is at the riverside located near Café Brazil. It is a high priced coffee shop with a customer rating of 3 out of 5. | task1409_dart_text_generation | NIv2 | zs_opt | 4 | train |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | Cyrus spink (r) 56.3% j. p. jeffries (d) 43.7% were the candidates where the result was retired Republican hold and the incumbent was Philemon Bliss.
| task1409_dart_text_generation | NIv2 | fs_opt | 7 | test |
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily understandable b... | In the price range of 20-25 is The Eagle, a coffee shop near Burger King in the riverside area. It is not kid friendly and serves Italian food. It has a high customer rating. | task1409_dart_text_generation | NIv2 | zs_opt | 0 | validation |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
See one example below:
Problem: To największa nagrywarka, jaką w życiu widzieliście.
Solution: It's sort of the biggest TiVo box you've ever seen.
Explanation: The Polish sentence is correctly translate... | The Buick's parked outside, and she's jingling, jangling a pair of keys. | task1256_ted_translation_pl_en | NIv2 | fs_opt | 4 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Ex Input:
Skończony projekt ma za zadanie być czymś więcej niż tylko elektrownią.
Ex Output:
The finished project is meant to be more than just a power station.
Ex Input:
W niszczycielskim nastroju można je zmiąć i rzucić... | But what I knew at a very early age was that I loved money and I loved business and I loved this entrepreneurial thing, and I was raised to be an entrepreneur, and what I've been really passionate about ever since — and I've never spoken about this ever, until now — so this is the first time anyone's ever heard it, exc... | task1256_ted_translation_pl_en | NIv2 | fs_opt | 1 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Praca: angażowanie się w aktywności, które mają znaczenie i są satysfakcjonujące.
Work: engaging in activities that are meaningful and satisfying.
Co kilka chwil robię zdjęcie.
Every few moments I shoot the image.
gdyż był... | Because there were images in it he said were licentious.
| task1256_ted_translation_pl_en | NIv2 | fs_opt | 0 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Example input: To największa nagrywarka, jaką w życiu widzieliście.
Example output: It's sort of the biggest TiVo box you've ever seen.
Example explanation: The Polish sentence is correctly translated into English, because t... | Networks, we didn't have networks at all at the time of the Macintosh's introduction, and that has become the single most salient aspect of how we live with computers. | task1256_ted_translation_pl_en | NIv2 | fs_opt | 3 | train |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
I mam wrażenie, że w obu tych przypadkach politycy mogą mieć na to swój wpływ.
Output: | In both of these areas, I think politicians can play a role. | task1256_ted_translation_pl_en | NIv2 | zs_opt | 1 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
[Q]: Potem założyłem kolejną firmę.
[A]: And then I started another company.
[Q]: (śmiech) Jestem za to internistką, która zainteresowała się głęboko tym tematem jakieś 10 lat temu, kiedy pacjentka zadała mi pewne pytanie.... | Well, we got 331, which is okay, but we also know that not a lot of guerrillas saw them, but we know that a lot of guerrillas heard about them, and we know this because we are constantly talking to demobilized guerrillas.
| task1256_ted_translation_pl_en | NIv2 | fs_opt | 5 | train |
Teacher: You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
To największa nagrywarka, jaką w życiu widzieliście.
Solution: It's sort of the biggest TiVo box you've ever seen.
Reason: T... | Lifespan has increased to 78. | task1256_ted_translation_pl_en | NIv2 | fs_opt | 2 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
[Q]: Oczywiście jest to poza możliwościami Kiribati.
[A]: This, of course, is beyond the resources of Kiribati itself.
[Q]: Miałem też link gotowy do wrzucenia na media społecznościowe, na dowolną stronę, ale tym razem pro... | Let's go back to where we began: the ice melt of the North and South Poles.
| task1256_ted_translation_pl_en | NIv2 | fs_opt | 5 | train |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
[EX Q]: (Śmiech) Ale (2 ^ 13) - 1, (2 ^ 17) - 1 (2 ^ 19) - 1, to wszystko liczby pierwsze.
[EX A]: (Laughter) But (2 ^ 13) - 1, (2 ^ 17) - 1 (2 ^ 19) - 1, are all prime numbers.
[EX Q]: Nie wysyłajcie jej.
[EX A]: Don't sen... | You know, we have all these gaps and I think we like our gaps because they make us feel like we identify with something, some smaller community.
| task1256_ted_translation_pl_en | NIv2 | fs_opt | 6 | test |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
One example is below.
Q: To największa nagrywarka, jaką w życiu widzieliście.
A: It's sort of the biggest TiVo box you've ever seen.
Rationale: The Polish sentence is correctly translated into English, because the meaning is ... | Imagination has been decoupled from the old constraints. | task1256_ted_translation_pl_en | NIv2 | fs_opt | 9 | validation |
Q:Plant reproduction requires pollination, and most plants are either insect pollinated or wind pollinated. Given these facts, what causes pollination among the following options: - Bees - wind - roots - coffee - Oak - sunlight - animal - water
A: | wind | qasc_qa_with_separated_facts_1 | P3 | zs_opt | 3 | train |
Energy enters ecosystems in the form of sunlight or chemical compounds, and if there is sun, there is sunlight, there is day. Given these facts, the sun contributes what to ecosystems among the following options: - sun spot - energy - darkness - seeds - positive - photons - Nutrients - Energy.
energy
Aradio con... | A: mating | qasc_qa_with_separated_facts_1 | P3 | fs_opt | 2 | train |
Arubber band snapping causes the particles in the rubber band to vibrate, and vibration can be a cause of noise and can lead to wear and fatigue of parts. Given these facts, what can snapping a rubber band cause among the following options: - waves - Loss of motion - sight - death - stillness - heat - sound - no... | A: in the frog family | qasc_qa_with_separated_facts_1 | P3 | fs_opt | 2 | train |
Please answer the following question: Arainbow is formed by refraction of light by separating light into all different colors, and refraction is the bending of light. Given these facts, what is formed by the bending of light among the following options: - motion - fossil fuels - A rainbow - coral reefs - coral - m... | A rainbow | qasc_qa_with_separated_facts_1 | P3 | zs_opt | 8 | train |
Force causes the speed of an object to increase, and pulling and pushing is forceful motion. Given these facts, pushing and pulling an object will increase its what among the following options: - Lift - kinetic - weight - motion - speed - direction - color - muscles
speed
If heat is conducted to an object then ... | different cycles of day and night | qasc_qa_with_separated_facts_1 | P3 | fs_opt | 8 | train |
Along tail can be used to move through water by an animal, and sharks use their tail to move through the water. Given these facts, how do sharks move through the water among the following options: - pipe - eyes - Tail - dorsal - mouth - speed - gills - slowly
A: | Tail | qasc_qa_with_separated_facts_1 | P3 | zs_noopt | 2 | train |
Question: Viruses cause many human diseases, and human diseases can be detected clinically. Given these facts, what can be detected clinically among the following options: - clinics - viruses - murmur - ghosts - anemia - vampires - harm - sweating
Answer: | viruses | qasc_qa_with_separated_facts_1 | P3 | zs_noopt | 4 | train |
Afirecracker converts chemical energy into sound, and hearing is the act of perceiving sound. Given these facts, what converts chemical energy into what we hear among the following options: - Gunshots - An object is seen - a lightbulb - ice - sensory neurons - a firecracker - animals - a stove
a firecracker
(Qu... | fruits | qasc_qa_with_separated_facts_1 | P3 | fs_opt | 3 | train |
Aglacier causes mechanical weathering, and pysical weathering is the mechanical breakdown of rocks. Given these facts, what do glaciers do to rocks among the following options: - form them - melt them - protect them - storing water - throw them - It expands - Water expanding - break them down
| break them down | qasc_qa_with_separated_facts_1 | P3 | zs_noopt | 0 | test |
Q:Migrants typically travel long distances, and manatees are a migrant species. Given these facts, what do manatees do among the following options: - migrate - reproduce - play games - stagnate - survive - Catch prey - vocalizing - burrow
A: | migrate | qasc_qa_with_separated_facts_1 | P3 | zs_noopt | 3 | validation |
Detailed Instructions: You will be given a context and a verb separated with a newline character, and you have to answer if the given verb is a negation or not. A verb is a negation if it is not going to exist, not happen, or has no effect. The output should be "Yes" if the verb is a negation and "No" otherwise.
Q: Of ... | Yes | task458_matres_negation_classification | NIv2 | zs_opt | 9 | train |
Given the task definition and input, reply with output. You will be given a context and a verb separated with a newline character, and you have to answer if the given verb is a negation or not. A verb is a negation if it is not going to exist, not happen, or has no effect. The output should be "Yes" if the verb is a ne... | No | task458_matres_negation_classification | NIv2 | zs_opt | 5 | train |
You will be given a context and a verb separated with a newline character, and you have to answer if the given verb is a negation or not. A verb is a negation if it is not going to exist, not happen, or has no effect. The output should be "Yes" if the verb is a negation and "No" otherwise.
Example: Only the government ... | Solution: Yes | task458_matres_negation_classification | NIv2 | fs_opt | 5 | train |
You will be given a context and a verb separated with a newline character, and you have to answer if the given verb is a negation or not. A verb is a negation if it is not going to exist, not happen, or has no effect. The output should be "Yes" if the verb is a negation and "No" otherwise.
The White House said Preside... | Yes | task458_matres_negation_classification | NIv2 | zs_opt | 0 | train |
Detailed Instructions: You will be given a context and a verb separated with a newline character, and you have to answer if the given verb is a negation or not. A verb is a negation if it is not going to exist, not happen, or has no effect. The output should be "Yes" if the verb is a negation and "No" otherwise.
Q: We ... | Yes | task458_matres_negation_classification | NIv2 | zs_opt | 9 | train |
Q: You will be given a context and a verb separated with a newline character, and you have to answer if the given verb is a negation or not. A verb is a negation if it is not going to exist, not happen, or has no effect. The output should be "Yes" if the verb is a negation and "No" otherwise.
We are back in the family,... | No | task458_matres_negation_classification | NIv2 | zs_opt | 7 | train |
Teacher:You will be given a context and a verb separated with a newline character, and you have to answer if the given verb is a negation or not. A verb is a negation if it is not going to exist, not happen, or has no effect. The output should be "Yes" if the verb is a negation and "No" otherwise.
Teacher: Now, underst... | Yes | task458_matres_negation_classification | NIv2 | zs_opt | 6 | train |
Instructions: You will be given a context and a verb separated with a newline character, and you have to answer if the given verb is a negation or not. A verb is a negation if it is not going to exist, not happen, or has no effect. The output should be "Yes" if the verb is a negation and "No" otherwise.
Input: American... | No | task458_matres_negation_classification | NIv2 | zs_opt | 3 | train |
Q: You will be given a context and a verb separated with a newline character, and you have to answer if the given verb is a negation or not. A verb is a negation if it is not going to exist, not happen, or has no effect. The output should be "Yes" if the verb is a negation and "No" otherwise.
But they report a number o... | Yes | task458_matres_negation_classification | NIv2 | zs_opt | 7 | test |
Teacher:You will be given a context and a verb separated with a newline character, and you have to answer if the given verb is a negation or not. A verb is a negation if it is not going to exist, not happen, or has no effect. The output should be "Yes" if the verb is a negation and "No" otherwise.
Teacher: Now, underst... | Yes | task458_matres_negation_classification | NIv2 | zs_opt | 6 | validation |
Part 1. Definition
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Part 2. Example
What can one do after MBBS?
Answer: What do i do after my MBBS ?
Explanation: In this example both the question ask the same... | Why is Tool not available on Google Music All Access? | task1345_glue_qqp_question_paraprashing | NIv2 | fs_opt | 7 | train |
Q: In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
What does Dima Korolev think of Putin?
A: | What is Dima Korolev's IQ? | task1345_glue_qqp_question_paraprashing | NIv2 | zs_opt | 7 | train |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
What can one do after MBBS?
Solution:... | What is the best way to learn what I read? | task1345_glue_qqp_question_paraprashing | NIv2 | fs_opt | 0 | train |
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
--------
Question: Could a modern navy build a new class of battleships, or would such vessels be obsolete?
Answer: Do modern navies allow the taking of prize... | What determines whether a baby is considered cute?
| task1345_glue_qqp_question_paraprashing | NIv2 | fs_opt | 7 | train |
Teacher:In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Teacher: Now, understand the problem? Solve this instance: Which are the apps which use WebView for their apps in Android?
Student: | What are the challenges faced by Quora when choosing to use WebView for their mobile app? | task1345_glue_qqp_question_paraprashing | NIv2 | zs_opt | 6 | train |
Q: In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Is a SCP containment breach real?
A: | What is SCP Containment Breach? | task1345_glue_qqp_question_paraprashing | NIv2 | zs_opt | 7 | train |
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Q: A sum of Rs 10000 amounts to Rs12100 in two years . Then find rate of interest?
A: | Which programming language is most important to get best job? | task1345_glue_qqp_question_paraprashing | NIv2 | zs_opt | 4 | train |
Teacher: In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Teacher: Now, understand the problem? If you are still confused, see the following example:
What can one do after MBBS?
Solution: What do i do after m... | What has been your most embarrassing moment in front of a stranger? | task1345_glue_qqp_question_paraprashing | NIv2 | fs_opt | 2 | train |
Part 1. Definition
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Part 2. Example
What can one do after MBBS?
Answer: What do i do after my MBBS ?
Explanation: In this example both the question ask the same... | Where is the best place to do bungee jumping near Barcelona? | task1345_glue_qqp_question_paraprashing | NIv2 | fs_opt | 7 | test |
Teacher:In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Teacher: Now, understand the problem? Solve this instance: What type of government does Guatemala have? How does it compare to the one in Germany?
Stud... | What type of government does Guatemala have? How does it compare to the one in Russia? | task1345_glue_qqp_question_paraprashing | NIv2 | zs_opt | 6 | validation |
Teacher:We would like you to classify each of the following sets of argument pairs (discussing Gun Control) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACE... | Similar | task146_afs_argument_similarity_gun_control | NIv2 | zs_opt | 6 | train |
Q: We would like you to classify each of the following sets of argument pairs (discussing Gun Control) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A ... | Not similar | task146_afs_argument_similarity_gun_control | NIv2 | zs_opt | 7 | train |
Teacher:We would like you to classify each of the following sets of argument pairs (discussing Gun Control) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACE... | Similar | task146_afs_argument_similarity_gun_control | NIv2 | zs_opt | 6 | train |
Detailed Instructions: We would like you to classify each of the following sets of argument pairs (discussing Gun Control) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not hav... | Not similar | task146_afs_argument_similarity_gun_control | NIv2 | zs_opt | 8 | train |
We would like you to classify each of the following sets of argument pairs (discussing Gun Control) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FAC... | Not similar | task146_afs_argument_similarity_gun_control | NIv2 | fs_opt | 9 | train |
We would like you to classify each of the following sets of argument pairs (discussing Gun Control) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FAC... | Not similar | task146_afs_argument_similarity_gun_control | NIv2 | fs_opt | 3 | train |
We would like you to classify each of the following sets of argument pairs (discussing Gun Control) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FAC... | Not similar | task146_afs_argument_similarity_gun_control | NIv2 | fs_opt | 9 | train |
Instructions: We would like you to classify each of the following sets of argument pairs (discussing Gun Control) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the sam... | Not similar | task146_afs_argument_similarity_gun_control | NIv2 | zs_opt | 3 | train |
TASK DEFINITION: We would like you to classify each of the following sets of argument pairs (discussing Gun Control) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the ... | Not similar
| task146_afs_argument_similarity_gun_control | NIv2 | fs_opt | 8 | test |
We would like you to classify each of the following sets of argument pairs (discussing Gun Control) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FAC... | Not similar | task146_afs_argument_similarity_gun_control | NIv2 | fs_opt | 3 | validation |
Q: You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movie plots, they will c... | Where was the sermon given that the w riter attended? | task405_narrativeqa_question_generation | NIv2 | zs_opt | 7 | train |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question sh... | Why is the area where the feuding families live changing? | task405_narrativeqa_question_generation | NIv2 | fs_opt | 0 | train |
Given the task definition, example input & output, solve the new input case.
You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns in... | How are Ellen and May related to each other? | task405_narrativeqa_question_generation | NIv2 | fs_opt | 1 | train |
Detailed Instructions: You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movi... | Who was heir to the title Earl of Tranmore? | task405_narrativeqa_question_generation | NIv2 | zs_opt | 9 | train |
Definition: You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movie plots, th... | What does Peter want to drink in order to impress Wendy? | task405_narrativeqa_question_generation | NIv2 | zs_opt | 2 | train |
Detailed Instructions: You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movi... | Why couldn't the travelers colonize Gallia? | task405_narrativeqa_question_generation | NIv2 | fs_opt | 4 | train |
You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movie plots, they will cont... | If Kipps never met Chitterlow, could he have married Ann? | task405_narrativeqa_question_generation | NIv2 | zs_opt | 4 | train |
Given the task definition and input, reply with output. You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. ... | What did the doctor do to the Baroness to cause her to feel subdued? | task405_narrativeqa_question_generation | NIv2 | zs_opt | 5 | train |
You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movie plots, they will cont... | What kind of childhood did Davies have, according to the story? | task405_narrativeqa_question_generation | NIv2 | fs_opt | 6 | test |
Teacher:You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movie plots, they w... | Who does Conan want to make his queen? | task405_narrativeqa_question_generation | NIv2 | zs_opt | 6 | validation |
Given the task definition and input, reply with output. You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified... | anti-stereotype | task319_stereoset_classification_profession | NIv2 | zs_opt | 5 | train |
You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an i... | stereotype | task319_stereoset_classification_profession | NIv2 | zs_opt | 4 | train |
You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an i... | anti-stereotype | task319_stereoset_classification_profession | NIv2 | fs_opt | 3 | train |
You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an i... | anti-stereotype
| task319_stereoset_classification_profession | NIv2 | fs_opt | 1 | train |
You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an i... | stereotype | task319_stereoset_classification_profession | NIv2 | fs_opt | 6 | train |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence... | unrelated | task319_stereoset_classification_profession | NIv2 | fs_opt | 0 | train |
Given the task definition, example input & output, solve the new input case.
You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely he... | stereotype | task319_stereoset_classification_profession | NIv2 | fs_opt | 1 | train |
You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an i... | stereotype
| task319_stereoset_classification_profession | NIv2 | fs_opt | 7 | train |
You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an i... | Output: unrelated
| task319_stereoset_classification_profession | NIv2 | fs_opt | 2 | test |
You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an i... | stereotype
| task319_stereoset_classification_profession | NIv2 | fs_opt | 3 | validation |
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