source stringlengths 17 501k | target stringlengths 0 8.23k | task_name stringlengths 8 85 | task_source stringclasses 4
values | template_type stringclasses 4
values | template_idx int64 0 17 | split stringclasses 3
values |
|---|---|---|---|---|---|---|
Teacher:Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/... | 36 | task835_mathdataset_answer_generation | NIv2 | zs_opt | 6 | train |
TASK DEFINITION: Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding re... | 91/153
| task835_mathdataset_answer_generation | NIv2 | fs_opt | 8 | train |
You will be given a definition of a task first, then some input of the task.
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations... | 26/57 | task835_mathdataset_answer_generation | NIv2 | zs_opt | 1 | train |
instruction:
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remain... | 30534
| task835_mathdataset_answer_generation | NIv2 | fs_opt | 9 | train |
Definition: Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remaind... | 2/15 | task835_mathdataset_answer_generation | NIv2 | zs_opt | 2 | train |
Teacher:Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/... | 32474650 | task835_mathdataset_answer_generation | NIv2 | zs_opt | 6 | train |
You will be given a definition of a task first, then some input of the task.
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations... | 18 | task835_mathdataset_answer_generation | NIv2 | zs_opt | 1 | train |
You will be given a definition of a task first, then some input of the task.
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations... | 300 | task835_mathdataset_answer_generation | NIv2 | zs_opt | 1 | train |
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM,... | 2
| task835_mathdataset_answer_generation | NIv2 | fs_opt | 0 | test |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topi... | 4 | task835_mathdataset_answer_generation | NIv2 | fs_opt | 0 | validation |
Write the right answer to the question based on the context passage.
[EX Q]: I was lost.
As I sat parked at the old service station, I pulled out the maps and tried to do a little backtracking. It didn't take me long to figure out where I had made the wrong turn. I had tried following my memory instead of Luna's direc... | Polpette
| task887_quail_answer_generation | NIv2 | fs_opt | 6 | train |
You will be given a definition of a task first, then some input of the task.
Write the right answer to the question based on the context passage.
Shortly after five, the hospital called. More precisely, the emergency room phoned to ask if Ray had a bed. Ray pretended to consult his admission log, just as he always did... | Ray | task887_quail_answer_generation | NIv2 | zs_opt | 1 | train |
Write the right answer to the question based on the context passage.
--------
Question: President Donald Trump is counting on congressional Republicans to enact a package of tax cuts in the coming weeks, in the process delivering his first major legislative achievement since taking office in January.
But even as Trump ... | Ray
| task887_quail_answer_generation | NIv2 | fs_opt | 7 | train |
Teacher:Write the right answer to the question based on the context passage.
Teacher: Now, understand the problem? Solve this instance: Not exactly. I have no problem with divorce since, as others have stated, everyone has their reasons, however there was one person that I dated briefly but upon hearing the reason why ... | His secratary. | task887_quail_answer_generation | NIv2 | zs_opt | 6 | train |
Write the right answer to the question based on the context passage.
Ex Input:
Michael Morzeny put his hands into the pockets of his overcoat and hugged the fabric tighter around his body. The winter wind hurried down Columbus Avenue and the hem of his coat flapped around his knees letting little pockets of cold waft ... | one of Chloe's roommates.
| task887_quail_answer_generation | NIv2 | fs_opt | 1 | train |
Write the right answer to the question based on the context passage.
[EX Q]: Jenny turned her nose up at me as I sat down, sniffing loudly and filling her nostrils with the strong alcohol stink I was emitting. "So have you been drinking already this morning, or are you just still drunk from last night?"
"A little of b... | Ruth Bader Ginsberg
| task887_quail_answer_generation | NIv2 | fs_opt | 6 | train |
You will be given a definition of a task first, then some input of the task.
Write the right answer to the question based on the context passage.
Job offer many years ago. I had two, one for staff accountant and the other was as accounting manager for a holistic health clinic. The clinic job paid about 40% more and ca... | The person who took the clinic job. | task887_quail_answer_generation | NIv2 | zs_opt | 1 | train |
Write the right answer to the question based on the context passage.
One example is below.
Q: Television drama's whole point is to bring you through an often slow start, followed by a complex development to a point where there are two or three potential dénouements before, "Cut!", it is the end of the episode and you w... | Luna | task887_quail_answer_generation | NIv2 | fs_opt | 9 | train |
Instructions: Write the right answer to the question based on the context passage.
Input: Yes I had. In a domestic violence case (in which I was the accused, but by God I was innocent) with my ex girlfriend, the lawyer whom I hired and paid his dues, openly played a wheeling and dealing game for two and a half years wi... | the man's lawyer | task887_quail_answer_generation | NIv2 | zs_opt | 3 | test |
Write the right answer to the question based on the context passage.
Input: Consider Input: I have been the brunt of cruelty from a doctor a number of times but I will relate one that has always stayed with me since I was a child.
I was approximately 8 years and it happened to be summer. Baseball was a true love and m... | Output: the 14-year-old boy
| task887_quail_answer_generation | NIv2 | fs_opt | 2 | validation |
Given the task definition, example input & output, solve the new input case.
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent ... | No | task357_casino_classification_negotiation_small_talk | NIv2 | fs_opt | 1 | train |
Detailed Instructions: The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (whereve... | Yes | task357_casino_classification_negotiation_small_talk | NIv2 | zs_opt | 9 | train |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | No | task357_casino_classification_negotiation_small_talk | NIv2 | fs_opt | 9 | train |
Instructions: The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever availab... | No | task357_casino_classification_negotiation_small_talk | NIv2 | zs_opt | 3 | train |
Teacher: The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), ... | Yes | task357_casino_classification_negotiation_small_talk | NIv2 | fs_opt | 2 | train |
Detailed Instructions: The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (whereve... | Yes | task357_casino_classification_negotiation_small_talk | NIv2 | fs_opt | 4 | train |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | Solution: No | task357_casino_classification_negotiation_small_talk | NIv2 | fs_opt | 5 | train |
Detailed Instructions: The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (whereve... | No | task357_casino_classification_negotiation_small_talk | NIv2 | zs_opt | 9 | train |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | No | task357_casino_classification_negotiation_small_talk | NIv2 | fs_opt | 9 | test |
Q: The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output... | No | task357_casino_classification_negotiation_small_talk | NIv2 | zs_opt | 7 | validation |
You will be given a definition of a task first, then some input of the task.
You are given a target race, 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... | unrelated | task320_stereoset_classification_race | NIv2 | zs_opt | 1 | train |
You are given a target race, 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 idea th... | unrelated | task320_stereoset_classification_race | NIv2 | fs_opt | 6 | train |
Detailed Instructions: You are given a target race, 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-s... | unrelated | task320_stereoset_classification_race | NIv2 | zs_opt | 9 | 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 race, 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 t... | stereotype | task320_stereoset_classification_race | NIv2 | fs_opt | 0 | train |
You are given a target race, 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 idea th... | Solution: stereotype | task320_stereoset_classification_race | NIv2 | fs_opt | 5 | train |
Detailed Instructions: You are given a target race, 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-s... | unrelated | task320_stereoset_classification_race | NIv2 | zs_opt | 9 | train |
You are given a target race, 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 idea th... | Output: stereotype
| task320_stereoset_classification_race | NIv2 | fs_opt | 2 | train |
Detailed Instructions: You are given a target race, 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-s... | unrelated | task320_stereoset_classification_race | NIv2 | fs_opt | 4 | train |
Given the task definition, example input & output, solve the new input case.
You are given a target race, 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... | anti-stereotype | task320_stereoset_classification_race | NIv2 | fs_opt | 1 | test |
You are given a target race, 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 idea th... | stereotype
| task320_stereoset_classification_race | NIv2 | fs_opt | 7 | validation |
In this task, you are given a news headline in English. You are expected to classify the post into two classes: sarcastic or non-sarcastic. A sarcastic sentence is one that refers to the use of words that mean the opposite of what you really want to say, especially in order to insult someone, or to show irritation, or ... | non-sarcastic | task1488_sarcasmdetection_headline_classification | NIv2 | zs_opt | 0 | train |
Detailed Instructions: In this task, you are given a news headline in English. You are expected to classify the post into two classes: sarcastic or non-sarcastic. A sarcastic sentence is one that refers to the use of words that mean the opposite of what you really want to say, especially in order to insult someone, or ... | sarcastic | task1488_sarcasmdetection_headline_classification | NIv2 | zs_opt | 8 | train |
Detailed Instructions: In this task, you are given a news headline in English. You are expected to classify the post into two classes: sarcastic or non-sarcastic. A sarcastic sentence is one that refers to the use of words that mean the opposite of what you really want to say, especially in order to insult someone, or ... | non-sarcastic | task1488_sarcasmdetection_headline_classification | NIv2 | fs_opt | 4 | train |
In this task, you are given a news headline in English. You are expected to classify the post into two classes: sarcastic or non-sarcastic. A sarcastic sentence is one that refers to the use of words that mean the opposite of what you really want to say, especially in order to insult someone, or to show irritation, or ... | Solution: non-sarcastic | task1488_sarcasmdetection_headline_classification | NIv2 | fs_opt | 5 | train |
Teacher:In this task, you are given a news headline in English. You are expected to classify the post into two classes: sarcastic or non-sarcastic. A sarcastic sentence is one that refers to the use of words that mean the opposite of what you really want to say, especially in order to insult someone, or to show irritat... | non-sarcastic | task1488_sarcasmdetection_headline_classification | NIv2 | zs_opt | 6 | train |
In this task, you are given a news headline in English. You are expected to classify the post into two classes: sarcastic or non-sarcastic. A sarcastic sentence is one that refers to the use of words that mean the opposite of what you really want to say, especially in order to insult someone, or to show irritation, or ... | non-sarcastic | task1488_sarcasmdetection_headline_classification | NIv2 | zs_opt | 4 | train |
Q: In this task, you are given a news headline in English. You are expected to classify the post into two classes: sarcastic or non-sarcastic. A sarcastic sentence is one that refers to the use of words that mean the opposite of what you really want to say, especially in order to insult someone, or to show irritation, ... | sarcastic | task1488_sarcasmdetection_headline_classification | NIv2 | zs_opt | 7 | train |
In this task, you are given a news headline in English. You are expected to classify the post into two classes: sarcastic or non-sarcastic. A sarcastic sentence is one that refers to the use of words that mean the opposite of what you really want to say, especially in order to insult someone, or to show irritation, or ... | sarcastic
| task1488_sarcasmdetection_headline_classification | NIv2 | fs_opt | 0 | train |
Q: In this task, you are given a news headline in English. You are expected to classify the post into two classes: sarcastic or non-sarcastic. A sarcastic sentence is one that refers to the use of words that mean the opposite of what you really want to say, especially in order to insult someone, or to show irritation, ... | non-sarcastic | task1488_sarcasmdetection_headline_classification | NIv2 | zs_opt | 7 | test |
Teacher: In this task, you are given a news headline in English. You are expected to classify the post into two classes: sarcastic or non-sarcastic. A sarcastic sentence is one that refers to the use of words that mean the opposite of what you really want to say, especially in order to insult someone, or to show irrita... | non-sarcastic | task1488_sarcasmdetection_headline_classification | NIv2 | fs_opt | 2 | validation |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Problem:O direito a expressarmos as nossas ideias livremente, a casarmos com quem escolhermos, a escolhermos os nossos companheiros, a sermos ou não sexualmente ativos, a decidirmos se queremos ... | Il diritto di esprimere le nostre idee liberamente, di sposare chi vogliamo, di scegliere i nostri partner, di essere sessualmente attivi o meno, di decidere se e quando avere figli, tutto questo senza violenza o forza o discriminazione. | task1280_ted_translation_pt_it | NIv2 | zs_opt | 8 | train |
Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
O seu preço é 50% superior à média dos produtos da sua categoria.
| 50% in più rispetto alla media della sua categoria. | task1280_ted_translation_pt_it | NIv2 | zs_opt | 5 | train |
instruction:
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
question:
São todos diferentes uns dos outros.
answer:
Ognuno è diverso dall'altro.
question:
Mas aqueles olhos interrogadores do meu filho foram o meu momento de verdade, quando tudo fez sentido.
answe... | Ma innovare non è sempre "" aggiungere "".
| task1280_ted_translation_pt_it | NIv2 | fs_opt | 9 | train |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Example Input: É por isso que não mudamos.
Example Output: Ed è il motivo per cui non si cambia.
Example Input: Quando se apresenta isso a pessoas que não são versadas nesses aspectos da ciência, elas tornam-se sala... | La cosa non sorprende, perché solo il 3% delle persone in Congo usa i preservativi.
| task1280_ted_translation_pt_it | NIv2 | fs_opt | 3 | train |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
One example is below.
Q: Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sintética, está atualmente a acelerar a uma taxa 4 vezes superior à Lei de Moore.
A: Ora, lungo il p... | Abbiamo lottato per essere qui. | task1280_ted_translation_pt_it | NIv2 | fs_opt | 9 | train |
Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
O Supremo Tribunal determinou no mês passado que um policia precisa de ter um mandato judicial, caso queira fazer um rastreamento prolongado, mas a lei não é cl... | La Corte Suprema ha decretato il mese scorso che un poliziotto deve ottenere un mandato se vuole fare un tracciamento prolungato, ma la legge non chiarisce cosa possano fare i civili tra di loro, quindi non dobbiamo preoccuparci solo del Grande Fratello, anche del Grande Vicino. (Risate) C'è un'alternativa a cui Carol ... | task1280_ted_translation_pt_it | NIv2 | zs_opt | 5 | train |
Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Input: Este tipo de couro pode fazer o que o couro atual faz, mas com imaginação, provavelmente muito mais.
Output: | Questo tipo di pelle può fare quello che fa la pelle oggi, ma probabilmente anche altro, con un po 'di immaginazione. | task1280_ted_translation_pt_it | NIv2 | zs_opt | 2 | train |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Q: Tento viver conscientemente e estar presente no momento.
A: | Cerco di vivere consapevolmente e di essere presente nel momento. | task1280_ted_translation_pt_it | NIv2 | zs_opt | 4 | train |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Q: No Brasil e Japão, é devido a razões culturais e linguísticas únicas.
A: | In Brasile e Giappone, ciò dipende unicamente da motivazioni culturali e linguistiche. | task1280_ted_translation_pt_it | NIv2 | zs_opt | 4 | test |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Na verdade, de todos os animais na Terra, de todas as espécies animais, 80% anda sobre seis patas.
Output: | Infatti, di tutti gli animali sulla Terra, di tutte le specie animali, l ’ 80% cammina su sei zampe. | task1280_ted_translation_pt_it | NIv2 | zs_opt | 1 | validation |
Many reactions take place in solution or in the gas phase, where the reactants are evenly dispersed throughout a homogeneous mixture. However, for reactions in which one of the reactants is a pure solid or liquid (meaning that this reactant is not already mixed together with any other reactants), reactivity only occurs... | lithium | ropes_plain_background_situation | P3 | fs_opt | 1 | train |
Please answer the following question: So much rain falling so fast causes some of the damage from a hurricane. But a lot of the damage is caused by storm surge. Storm surge is very high water located in the low pressure eye of the hurricane. The very low pressure of the eye allows the water level to rise above normal s... | Hill | ropes_plain_background_situation | P3 | zs_noopt | 9 | train |
White blood cells also make chemicals that cause a fever. A fever is a higher-than-normal body temperature. Normal human body temperature is 98.6°F (37°C). Most bacteria and viruses that infect people reproduce fastest at this temperature. When the temperature is higher, the pathogens cannot reproduce as fast, so the b... | less | ropes_plain_background_situation | P3 | zs_noopt | 0 | train |
Please answer the following question: The theory of evolution by natural selection was proposed at about the same time by both Charles Darwin and Alfred Russel Wallace, shown in Figure below , and was set out in detail in Darwin's 1859 book On the Origin of Species . Natural selection is a process that causes heritable... | species B | ropes_plain_background_situation | P3 | zs_opt | 8 | train |
input question: When humans dig up and use fossil fuels, we have an impact on the carbon cycle ( Figure below ). This carbon is not recycled until it is used by humans. The burning of fossil fuels releases more carbon dioxide into the atmosphere than is used by photosynthesis. So, there is more carbon dioxide entering ... | Russia | ropes_plain_background_situation | P3 | fs_opt | 7 | train |
Question: Millions of people in the world jog for exercise. For the most part, jogging can be a healthy way to stay fit. However, problems can also develop for those who jog in the heat. Excessive sweating can lead to electrolyte loss that could be life-threatening. Early symptoms of electrolyte deficiency can include ... | type A | ropes_plain_background_situation | P3 | fs_opt | 3 | train |
Generally, nearsightedness first occurs in school-age children. There is some evidence that myopia is inherited. If one or both of your parents need glasses, there is an increased chance that you will too. Individuals who spend a lot of time reading, working or playing at a computer, or doing other close visual work ma... | less | ropes_plain_background_situation | P3 | fs_opt | 1 | train |
Problem: Given the question: In exercises such as weight lifting, skeletal muscle contracts against a resisting force (see Figure below ). Using skeletal muscle in this way increases its size and strength. In exercises such as running, the cardiac muscle contracts faster and the heart pumps more blood. Using cardiac mu... | Jason's | ropes_plain_background_situation | P3 | fs_opt | 8 | train |
Atmospheric convection is the result of a parcel-environment instability, or temperature difference layer in the atmosphere. Different lapse rates within dry and moist air masses lead to instability. Mixing of air during the day which expands the height of the planetary boundary layer leads to increased winds, cumulus ... | Green | ropes_plain_background_situation | P3 | zs_opt | 1 | test |
Please answer the following question: Almost all earthquakes occur at plate boundaries. All types of plate boundaries have earthquakes. Convection within the Earth causes the plates to move. As the plates move, stresses build. When the stresses build too much, the rocks break. The break releases the energy that was sto... | Mud | ropes_plain_background_situation | P3 | zs_noopt | 8 | validation |
Q: Creating a multiple-choice question from the given context and a 'group' which indicate the focus of the question. The question must come first, separated by <sep> from the candidate answers. The answer to the question does not have to exist in the context.
context: A person is trying to bounce a rubber ball. They d... | question: Which ball bounces the least?<sep>A: rubber<sep>B: brick<sep>C: snow<sep>D: concrete | task860_prost_mcq_generation | NIv2 | zs_opt | 7 | train |
Creating a multiple-choice question from the given context and a 'group' which indicate the focus of the question. The question must come first, separated by <sep> from the candidate answers. The answer to the question does not have to exist in the context.
Input: Consider Input: context: A person is trying to bounce ... | Output: question: Which ball bounces the highest?<sep>A: grass<sep>B: steel<sep>C: carpet<sep>D: snow
| task860_prost_mcq_generation | NIv2 | fs_opt | 2 | train |
Q: Creating a multiple-choice question from the given context and a 'group' which indicate the focus of the question. The question must come first, separated by <sep> from the candidate answers. The answer to the question does not have to exist in the context.
context: A person drops a coin, a pen, a ball, and a bottle... | question: Which object is the most likely to break?<sep>A: coin<sep>B: pen<sep>C: ball<sep>D: bottle | task860_prost_mcq_generation | NIv2 | zs_opt | 7 | train |
Detailed Instructions: Creating a multiple-choice question from the given context and a 'group' which indicate the focus of the question. The question must come first, separated by <sep> from the candidate answers. The answer to the question does not have to exist in the context.
Problem:context: A person is trying to ... | question: Which ball bounces the highest?<sep>A: grass<sep>B: rubber<sep>C: snow<sep>D: carpet | task860_prost_mcq_generation | NIv2 | zs_opt | 8 | train |
Creating a multiple-choice question from the given context and a 'group' which indicate the focus of the question. The question must come first, separated by <sep> from the candidate answers. The answer to the question does not have to exist in the context.
One example: context: A person is trying to roll an apple, a b... | question: Which ball bounces the least?<sep>A: concrete<sep>B: asphalt<sep>C: carpet<sep>D: brick | task860_prost_mcq_generation | NIv2 | fs_opt | 6 | train |
Q: Creating a multiple-choice question from the given context and a 'group' which indicate the focus of the question. The question must come first, separated by <sep> from the candidate answers. The answer to the question does not have to exist in the context.
context: A person drops a mirror, a pen, a bottle, and a gl... | question: Which object is the least likely to break?<sep>A: mirror<sep>B: pen<sep>C: bottle<sep>D: glass | task860_prost_mcq_generation | NIv2 | zs_opt | 7 | train |
Instructions: Creating a multiple-choice question from the given context and a 'group' which indicate the focus of the question. The question must come first, separated by <sep> from the candidate answers. The answer to the question does not have to exist in the context.
Input: context: A person drops a bottle, a ball,... | question: Which object is the most likely to break?<sep>A: bottle<sep>B: ball<sep>C: shirt<sep>D: pen | task860_prost_mcq_generation | NIv2 | zs_opt | 3 | train |
Given the task definition and input, reply with output. Creating a multiple-choice question from the given context and a 'group' which indicate the focus of the question. The question must come first, separated by <sep> from the candidate answers. The answer to the question does not have to exist in the context.
conte... | question: Which ball bounces the highest?<sep>A: leaves<sep>B: rubber<sep>C: foam<sep>D: carpet | task860_prost_mcq_generation | NIv2 | zs_opt | 5 | train |
Creating a multiple-choice question from the given context and a 'group' which indicate the focus of the question. The question must come first, separated by <sep> from the candidate answers. The answer to the question does not have to exist in the context.
Q: context: A person is trying to bounce a rubber ball. They ... | question: Which object is the least likely to break?<sep>A: mirror<sep>B: bottle<sep>C: egg<sep>D: pen
****
| task860_prost_mcq_generation | NIv2 | fs_opt | 4 | test |
Creating a multiple-choice question from the given context and a 'group' which indicate the focus of the question. The question must come first, separated by <sep> from the candidate answers. The answer to the question does not have to exist in the context.
Example Input: context: A person drops a pillow, a coin, a gl... | question: Which ball bounces the highest?<sep>A: snow<sep>B: grass<sep>C: steel<sep>D: leaves
| task860_prost_mcq_generation | NIv2 | fs_opt | 3 | validation |
You are given a piece of text. Your task is to classify the text based on whether a religion or a person/group of people are receiving hate based on religion. If there is a hate based on religion in the text, answer with 'religious hate', otherwise, answer with 'not religious hate'.
Example input: Religions have stupi... | not religious hate | task1607_ethos_text_classification | 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 piece of text. Your task is to classify the text based on whether a religion or a person/group of people are receiving hate based on religion. If there is a hate based on religion in the text, answer with 'religious hate', othe... | not religious hate | task1607_ethos_text_classification | NIv2 | zs_opt | 1 | train |
You are given a piece of text. Your task is to classify the text based on whether a religion or a person/group of people are receiving hate based on religion. If there is a hate based on religion in the text, answer with 'religious hate', otherwise, answer with 'not religious hate'.
--------
Question: I don't hate wome... | not religious hate
| task1607_ethos_text_classification | NIv2 | fs_opt | 7 | train |
Q: You are given a piece of text. Your task is to classify the text based on whether a religion or a person/group of people are receiving hate based on religion. If there is a hate based on religion in the text, answer with 'religious hate', otherwise, answer with 'not religious hate'.
The power of Christ compels you! ... | religious hate | task1607_ethos_text_classification | NIv2 | zs_opt | 7 | train |
You are given a piece of text. Your task is to classify the text based on whether a religion or a person/group of people are receiving hate based on religion. If there is a hate based on religion in the text, answer with 'religious hate', otherwise, answer with 'not religious hate'.
Example Input: why does that africa... | religious hate
| task1607_ethos_text_classification | NIv2 | fs_opt | 3 | train |
You are given a piece of text. Your task is to classify the text based on whether a religion or a person/group of people are receiving hate based on religion. If there is a hate based on religion in the text, answer with 'religious hate', otherwise, answer with 'not religious hate'.
Example: Religions have stupid theor... | Solution: not religious hate | task1607_ethos_text_classification | NIv2 | fs_opt | 5 | train |
Q: You are given a piece of text. Your task is to classify the text based on whether a religion or a person/group of people are receiving hate based on religion. If there is a hate based on religion in the text, answer with 'religious hate', otherwise, answer with 'not religious hate'.
I wonder why they didn' throw the... | religious hate | task1607_ethos_text_classification | NIv2 | zs_opt | 7 | train |
You are given a piece of text. Your task is to classify the text based on whether a religion or a person/group of people are receiving hate based on religion. If there is a hate based on religion in the text, answer with 'religious hate', otherwise, answer with 'not religious hate'.
This muslim with his pumped up hood... | religious hate | task1607_ethos_text_classification | NIv2 | zs_opt | 0 | train |
Q: You are given a piece of text. Your task is to classify the text based on whether a religion or a person/group of people are receiving hate based on religion. If there is a hate based on religion in the text, answer with 'religious hate', otherwise, answer with 'not religious hate'.
Kill these basterds, son of sluts... | religious hate | task1607_ethos_text_classification | NIv2 | zs_opt | 7 | test |
Definition: You are given a piece of text. Your task is to classify the text based on whether a religion or a person/group of people are receiving hate based on religion. If there is a hate based on religion in the text, answer with 'religious hate', otherwise, answer with 'not religious hate'.
Input: Every time I see ... | religious hate | task1607_ethos_text_classification | NIv2 | zs_opt | 2 | validation |
Teacher:Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., sec... | yes | task472_haspart_classification | NIv2 | zs_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.
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic ... | no | task472_haspart_classification | NIv2 | fs_opt | 0 | train |
Given the task definition and input, reply with output. Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting... | no | task472_haspart_classification | NIv2 | zs_opt | 5 | train |
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second enti... | yes
| task472_haspart_classification | NIv2 | fs_opt | 0 | train |
Teacher:Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., sec... | yes | task472_haspart_classification | NIv2 | zs_opt | 6 | train |
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second enti... | yes | task472_haspart_classification | NIv2 | fs_opt | 9 | train |
Q: Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second e... | yes | task472_haspart_classification | NIv2 | zs_opt | 7 | train |
Part 1. Definition
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym... | yes | task472_haspart_classification | NIv2 | fs_opt | 7 | train |
Instructions: Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e... | yes | task472_haspart_classification | NIv2 | zs_opt | 3 | test |
Detailed Instructions: Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a mer... | yes | task472_haspart_classification | NIv2 | fs_opt | 4 | validation |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.