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Extract the answer to the following question from the movie plot. If the question isn't answerable, please output "Can't answer". Question: How much does Robert pay for the tape of Flemming's murder? Title: 15 Minutes Movie plot: The film begins with Emil Slovak (Karel Roden) and Oleg Razgul (Oleg Taktarov) arriving in... | $1 million | duorc_SelfRC_extract_answer | P3 | zs_opt | 1 | train |
Please answer the following question: Extract the answer to the following question from the movie plot. If the question isn't answerable, please output "Can't answer". Question: What did the falsified blood work indicate? Title: The Next Three Days Movie plot: This article's plot summary may be too long or excessively ... | That Lara is in a state of hyperglycemia. | duorc_SelfRC_extract_answer | P3 | zs_noopt | 9 | train |
Extract the answer to the following question from the movie plot. If the question isn't answerable, please output "Can't answer". Question: Jim and his daughter are living in what state? Title: Hunt to Kill Movie plot: Four years ago, border patrol officer Jim Rhodes (Steve Austin) was stationed in Texas. Jim and his p... | Montana | duorc_SelfRC_extract_answer | P3 | zs_opt | 0 | train |
input: Please answer the following: Extract the answer to the following question from the movie plot. If the question isn't answerable, please output "Can't answer". Question: Where do Veeru and Jai live? Title: Sholay Movie plot: In the small village of Ramgarh, the retired policeman Thakur Baldev Singh (Sanjeev Kumar... | First World War | duorc_SelfRC_extract_answer | P3 | fs_opt | 5 | train |
Q:Extract the answer to the following question from the movie plot. If the question isn't answerable, please output "Can't answer". Question: Where is Linda's body? Title: Intruder Movie plot: A supermarket closes and the workers begin restocking the shelves for the next day. Craig, the former boyfriend of cashier Jenn... | Jennifer's car | duorc_SelfRC_extract_answer | P3 | zs_noopt | 3 | train |
Please answer this: Extract the answer to the following question from the movie plot. If the question isn't answerable, please output "Can't answer". Question: who plays the role of Ratso? Title: Midnight Cowboy Movie plot: As the film opens, Joe Buck (Jon Voight), a young Texan working as a dishwasher, dresses in new ... | Killing | duorc_SelfRC_extract_answer | P3 | fs_opt | 6 | train |
Extract the answer to the following question from the movie plot. If the question isn't answerable, please output "Can't answer". Question: Where is the hotel located? Title: Vacancy 2: The First Cut Movie plot: Experience the gruesome beginnings of Mr. Smith and his hotel of horrors in this terrifying prequel to Vacan... | North Carolina | duorc_SelfRC_extract_answer | P3 | zs_noopt | 0 | train |
Extract the answer to the following question from the movie plot. If the question isn't answerable, please output "Can't answer". Question: Who sabotaged a heating fuel line. Title: The Thing Movie plot: A United States Air Force crew is dispatched by General Fogerty (David McMahon) from Anchorage, Alaska at the reques... | Mark Bodine | duorc_SelfRC_extract_answer | P3 | fs_opt | 1 | train |
Extract the answer to the following question from the movie plot. If the question isn't answerable, please output "Can't answer". Question: What medicines does Leonidas give the prophets? Title: Meet the Spartans Movie plot: The film opens with a Spartan elder inspecting three babies. The first, an ugly, talking baby o... | Satan | duorc_SelfRC_extract_answer | P3 | fs_opt | 0 | test |
input question: Extract the answer to the following question from the movie plot. If the question isn't answerable, please output "Can't answer". Question: How many sons did Sita have? Title: Sri Rama Rajyam Movie plot: The story begins Rama (Nandamuri Balakrishna) returns to Ayodhya after defeating Ravana along with G... | Paulie (John Turturro) | duorc_SelfRC_extract_answer | P3 | fs_opt | 7 | validation |
In this task, you will be given sentences in which your task is to recognize the name of a person. Note that Twitter names shouldn't be considered as people's names. Although there might be several correct answers, you need to write one of them.
@ drivetimerte I think @ FitzgeraldFrncs told @ ghook Brian Purcell was ... | Brian Purcell | task1453_person_entity_extraction_btc_corpus | NIv2 | zs_opt | 0 | train |
In this task, you will be given sentences in which your task is to recognize the name of a person. Note that Twitter names shouldn't be considered as people's names. Although there might be several correct answers, you need to write one of them.
Ex Input:
Aftermath of the #MH17 crash in Ukraine ( Dominique Faget— AFP... | David Dimbleby
| task1453_person_entity_extraction_btc_corpus | NIv2 | fs_opt | 1 | train |
Q: In this task, you will be given sentences in which your task is to recognize the name of a person. Note that Twitter names shouldn't be considered as people's names. Although there might be several correct answers, you need to write one of them.
. @ DanCohen17 Andre Russell pretended to pull out of his run up , and... | Andre Russell | task1453_person_entity_extraction_btc_corpus | NIv2 | zs_opt | 7 | train |
instruction:
In this task, you will be given sentences in which your task is to recognize the name of a person. Note that Twitter names shouldn't be considered as people's names. Although there might be several correct answers, you need to write one of them.
question:
Boris Johnson attacks Government over disability r... | Sir Les P
| task1453_person_entity_extraction_btc_corpus | NIv2 | fs_opt | 9 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given sentences in which your task is to recognize the name of a person. Note that Twitter names shouldn't be considered as people's names. Although there might be several correct answers, you need to write one of the... | Alison Lapper | task1453_person_entity_extraction_btc_corpus | NIv2 | fs_opt | 1 | train |
Teacher:In this task, you will be given sentences in which your task is to recognize the name of a person. Note that Twitter names shouldn't be considered as people's names. Although there might be several correct answers, you need to write one of them.
Teacher: Now, understand the problem? Solve this instance: Busine... | Jeremy Lefroy | task1453_person_entity_extraction_btc_corpus | NIv2 | zs_opt | 6 | train |
Detailed Instructions: In this task, you will be given sentences in which your task is to recognize the name of a person. Note that Twitter names shouldn't be considered as people's names. Although there might be several correct answers, you need to write one of them.
See one example below:
Problem: Let us wait for Tal... | Liam Bradley | task1453_person_entity_extraction_btc_corpus | NIv2 | fs_opt | 4 | train |
Detailed Instructions: In this task, you will be given sentences in which your task is to recognize the name of a person. Note that Twitter names shouldn't be considered as people's names. Although there might be several correct answers, you need to write one of them.
Q: Also great to get such beautiful feedback on my... | Tim Cleverley | task1453_person_entity_extraction_btc_corpus | NIv2 | zs_opt | 9 | train |
Definition: In this task, you will be given sentences in which your task is to recognize the name of a person. Note that Twitter names shouldn't be considered as people's names. Although there might be several correct answers, you need to write one of them.
Input: Blue volcanic glow from lava-licking flames of sulphur... | Olivier Grunewald | task1453_person_entity_extraction_btc_corpus | NIv2 | zs_opt | 2 | test |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given sentences in which your task is to recognize the name of a person. Note that Twitter names shouldn't be considered as people's names. Although there might be several correct answers, you need to write one of the... | Mariusz Haladyj | task1453_person_entity_extraction_btc_corpus | NIv2 | zs_opt | 1 | validation |
In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are animate (beings t... | she | task1518_limit_answer_generation | NIv2 | fs_opt | 3 | train |
In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are animate (beings t... | Ashby
| task1518_limit_answer_generation | NIv2 | fs_opt | 0 | train |
Instructions: In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are ani... | They | task1518_limit_answer_generation | NIv2 | zs_opt | 3 | train |
In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are animate (beings t... | The camera
| task1518_limit_answer_generation | NIv2 | fs_opt | 0 | train |
In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are animate (beings t... | man | task1518_limit_answer_generation | NIv2 | zs_opt | 0 | train |
Definition: In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are anima... | group of girls | task1518_limit_answer_generation | NIv2 | zs_opt | 2 | train |
TASK DEFINITION: In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are ... | latter
| task1518_limit_answer_generation | NIv2 | fs_opt | 8 | train |
Given the task definition and input, reply with output. In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. The... | she | task1518_limit_answer_generation | NIv2 | zs_opt | 5 | train |
In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are animate (beings t... | people | task1518_limit_answer_generation | NIv2 | zs_opt | 0 | test |
In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are animate (beings t... | They
| task1518_limit_answer_generation | NIv2 | fs_opt | 0 | validation |
instruction:
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
question:
Wikinews ने फाउंडेशन के कानूनी सलाहकार माइक गॉडविन से ... | Theoretically a craft propelled by the pressure of a constant light source, such as a purpose-built laser, could achieve speeds approaching the speed of light.
| task433_alt_hi_en_translation | NIv2 | fs_opt | 9 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
... | The delinquencies and defaults have started to soar, said Nicolas Retsinas, director of Housing Studies at Harvard University. | task433_alt_hi_en_translation | NIv2 | fs_opt | 1 | train |
Detailed Instructions: In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
See one example below:
Problem: 2007 में फ़्रांस, पेरि... | The band will come together, along with other musical acts such as Coldplay, Elton John, and Paul McCartney for this event. | task433_alt_hi_en_translation | NIv2 | fs_opt | 4 | train |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
[EX Q]: यातायात में वृद्धि के कारण, कुछ क्षेत्र के स्कूल प्रशासन ने शिक्षकों... | However, the New York Times interviewed a number of current and former officials who believed that the policy was designed to allow the government to plausibly deny that torture was being tolerated.
| task433_alt_hi_en_translation | NIv2 | fs_opt | 6 | train |
Instructions: In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: परिदृश्यों की एक विस्तृत श्रृंखला तैयार की जा रही है, जि... | A wide range of scenarios is being prepared for which include the possibility that due to the larger number of ships reported to be part of the flotilla, the Israeli navy may need to intercept it before the ships get close to Israel's shoreline. | task433_alt_hi_en_translation | NIv2 | zs_opt | 3 | train |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
बेल्जियम 30,528 किमी... | Belgium covers an area of 30,528 km2 (11,787 square miles) and has a population of about 10.5 million. | task433_alt_hi_en_translation | NIv2 | zs_opt | 5 | train |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
अधिकारियों का कहना ह... | Officials say that the area has been cordoned off and the injured have been shifted to a hospital on the Benaras Hindu University campus. | task433_alt_hi_en_translation | NIv2 | zs_opt | 5 | train |
Q: In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
दो दिवसीय टूर्नामेंट के दौरान दक्षिण अफ्रीकी टीम ने नाबाद रहते हुए फिजियन ... | Unbeaten throughout the two day tournament the South African team beat Fijian team Davetalevu by a margin of 24 points without allowing the Fijian team to score throughout the 20 minute final. | task433_alt_hi_en_translation | NIv2 | zs_opt | 7 | train |
Detailed Instructions: In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Problem:शिकागो फायर ने खेल को नियंत्रित किया क्योंकि व... | Chicago Fire controlled the game as they outshot Los Angeles Galaxy 22-5. | task433_alt_hi_en_translation | NIv2 | zs_opt | 8 | test |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: खिलाड़ी?
A: | Player? | task433_alt_hi_en_translation | NIv2 | zs_opt | 4 | validation |
Part 1. Definition
In this task, we ask you to write an event that is not likely to happen after a certain event or is not likely to have happened before it. Pay attention that you will be asked the correct question, and you need to answer it incorrectly. For example, "earning money" usually appears before "spending mo... | they pretended to father again. | task011_mctaco_wrong_answer_generation_event_ordering | NIv2 | fs_opt | 7 | train |
Detailed Instructions: In this task, we ask you to write an event that is not likely to happen after a certain event or is not likely to have happened before it. Pay attention that you will be asked the correct question, and you need to answer it incorrectly. For example, "earning money" usually appears before "spendin... | the temples were destroyed. | task011_mctaco_wrong_answer_generation_event_ordering | NIv2 | zs_opt | 9 | train |
In this task, we ask you to write an event that is not likely to happen after a certain event or is not likely to have happened before it. Pay attention that you will be asked the correct question, and you need to answer it incorrectly. For example, "earning money" usually appears before "spending money". Even though t... | joey runs back to mika. | task011_mctaco_wrong_answer_generation_event_ordering | NIv2 | fs_opt | 8 | train |
Teacher: In this task, we ask you to write an event that is not likely to happen after a certain event or is not likely to have happened before it. Pay attention that you will be asked the correct question, and you need to answer it incorrectly. For example, "earning money" usually appears before "spending money". Even... | they do nothing. | task011_mctaco_wrong_answer_generation_event_ordering | NIv2 | fs_opt | 2 | train |
In this task, we ask you to write an event that is not likely to happen after a certain event or is not likely to have happened before it. Pay attention that you will be asked the correct question, and you need to answer it incorrectly. For example, "earning money" usually appears before "spending money". Even though t... | the radio queries.
| task011_mctaco_wrong_answer_generation_event_ordering | NIv2 | fs_opt | 5 | train |
In this task, we ask you to write an event that is not likely to happen after a certain event or is not likely to have happened before it. Pay attention that you will be asked the correct question, and you need to answer it incorrectly. For example, "earning money" usually appears before "spending money". Even though t... | yes at the beginning of the month.
| task011_mctaco_wrong_answer_generation_event_ordering | NIv2 | fs_opt | 7 | train |
In this task, we ask you to write an event that is not likely to happen after a certain event or is not likely to have happened before it. Pay attention that you will be asked the correct question, and you need to answer it incorrectly. For example, "earning money" usually appears before "spending money". Even though t... | you will be less smart. | task011_mctaco_wrong_answer_generation_event_ordering | NIv2 | zs_opt | 4 | train |
You will be given a definition of a task first, then some input of the task.
In this task, we ask you to write an event that is not likely to happen after a certain event or is not likely to have happened before it. Pay attention that you will be asked the correct question, and you need to answer it incorrectly. For ex... | they became healthy. | task011_mctaco_wrong_answer_generation_event_ordering | NIv2 | zs_opt | 1 | train |
Teacher:In this task, we ask you to write an event that is not likely to happen after a certain event or is not likely to have happened before it. Pay attention that you will be asked the correct question, and you need to answer it incorrectly. For example, "earning money" usually appears before "spending money". Even ... | invite the terrorists to lunch. | task011_mctaco_wrong_answer_generation_event_ordering | NIv2 | zs_opt | 6 | test |
Detailed Instructions: In this task, we ask you to write an event that is not likely to happen after a certain event or is not likely to have happened before it. Pay attention that you will be asked the correct question, and you need to answer it incorrectly. For example, "earning money" usually appears before "spendin... | they were stagnant. | task011_mctaco_wrong_answer_generation_event_ordering | NIv2 | zs_opt | 9 | validation |
Read the passage and find if the passage agrees, disagrees, or has a neutral stance on whether Global warming is caused by human activities. Answer only with keyword (a) agrees - if passage agrees with the target (b) disagrees - if passage disagrees with the target (c) neutral - if the given passage neither agrees nor ... | agrees | task890_gcwd_classification | NIv2 | zs_opt | 0 | train |
You will be given a definition of a task first, then some input of the task.
Read the passage and find if the passage agrees, disagrees, or has a neutral stance on whether Global warming is caused by human activities. Answer only with keyword (a) agrees - if passage agrees with the target (b) disagrees - if passage dis... | neutral | task890_gcwd_classification | NIv2 | zs_opt | 1 | train |
Read the passage and find if the passage agrees, disagrees, or has a neutral stance on whether Global warming is caused by human activities. Answer only with keyword (a) agrees - if passage agrees with the target (b) disagrees - if passage disagrees with the target (c) neutral - if the given passage neither agrees nor ... | agrees | task890_gcwd_classification | NIv2 | fs_opt | 9 | train |
Definition: Read the passage and find if the passage agrees, disagrees, or has a neutral stance on whether Global warming is caused by human activities. Answer only with keyword (a) agrees - if passage agrees with the target (b) disagrees - if passage disagrees with the target (c) neutral - if the given passage neither... | agrees | task890_gcwd_classification | NIv2 | zs_opt | 2 | train |
Definition: Read the passage and find if the passage agrees, disagrees, or has a neutral stance on whether Global warming is caused by human activities. Answer only with keyword (a) agrees - if passage agrees with the target (b) disagrees - if passage disagrees with the target (c) neutral - if the given passage neither... | disagrees | task890_gcwd_classification | NIv2 | zs_opt | 2 | train |
Read the passage and find if the passage agrees, disagrees, or has a neutral stance on whether Global warming is caused by human activities. Answer only with keyword (a) agrees - if passage agrees with the target (b) disagrees - if passage disagrees with the target (c) neutral - if the given passage neither agrees nor ... | agrees | task890_gcwd_classification | NIv2 | zs_opt | 0 | train |
Read the passage and find if the passage agrees, disagrees, or has a neutral stance on whether Global warming is caused by human activities. Answer only with keyword (a) agrees - if passage agrees with the target (b) disagrees - if passage disagrees with the target (c) neutral - if the given passage neither agrees nor ... | neutral
| task890_gcwd_classification | NIv2 | fs_opt | 7 | train |
Read the passage and find if the passage agrees, disagrees, or has a neutral stance on whether Global warming is caused by human activities. Answer only with keyword (a) agrees - if passage agrees with the target (b) disagrees - if passage disagrees with the target (c) neutral - if the given passage neither agrees nor ... | neutral
| task890_gcwd_classification | NIv2 | fs_opt | 1 | train |
Q: Read the passage and find if the passage agrees, disagrees, or has a neutral stance on whether Global warming is caused by human activities. Answer only with keyword (a) agrees - if passage agrees with the target (b) disagrees - if passage disagrees with the target (c) neutral - if the given passage neither agrees n... | disagrees | task890_gcwd_classification | NIv2 | zs_opt | 7 | test |
Read the passage and find if the passage agrees, disagrees, or has a neutral stance on whether Global warming is caused by human activities. Answer only with keyword (a) agrees - if passage agrees with the target (b) disagrees - if passage disagrees with the target (c) neutral - if the given passage neither agrees nor ... | disagrees
| task890_gcwd_classification | NIv2 | fs_opt | 0 | validation |
[Q]: Generate a question about the topic "Good Friday" whose answer would be: It is also known as Holy Friday, Great Friday, Black Friday, or Easter Friday, though the latter properly refers to the Friday in Easter week ..
****
[A]: What is the significance of Good Friday??
input: Please answer the following: Generate... | who was bush's national security advisor? | wiki_qa_Generate_Question_from_Topic | P3 | fs_opt | 6 | train |
Question: Generate a question about the topic "Rolling Rock" whose answer would be: The brand was sold to Anheuser-Busch of St. Louis, Missouri , in mid 2006, which transferred brewing operations to New Jersey..
Answer: | where is rolling rock brewed? | wiki_qa_Generate_Question_from_Topic | P3 | zs_opt | 4 | train |
Given the question: Generate a question about the topic "Presidency of Ronald Reagan" whose answer would be: Furthermore, says Henry, the consensus viewpoint agrees that he revived faith in the presidency and American self-confidence, and contributed critically to ending the Cold War ..
The answer is: | what is reagan known for? | wiki_qa_Generate_Question_from_Topic | P3 | zs_noopt | 6 | train |
Generate a question about the topic "Heisman Trophy" whose answer would be: It was created in 1935 as the Downtown Athletic Club trophy and renamed in 1936 following the death of the Club's athletic director, John Heisman (former Brown University and University of Pennsylvania player; head football coach at Oberlin Col... | what is a vetting process? | wiki_qa_Generate_Question_from_Topic | P3 | fs_opt | 0 | train |
Generate a question about the topic "National Hockey League" whose answer would be: It started with four teams and, through a series of expansions, contractions, and relocations, the league is now composed of 30 active franchises..
A: | how many professional hockey teams in canada? | wiki_qa_Generate_Question_from_Topic | P3 | zs_noopt | 2 | train |
Please answer the following question: Generate a question about the topic "States and territories of India" whose answer would be: India is a federal union of states comprising twenty-eight states and seven union territories ..
A: | How many states and territories are within India?? | wiki_qa_Generate_Question_from_Topic | P3 | zs_noopt | 8 | train |
Generate a question about the topic "Electron shell" whose answer would be: Each shell can contain only a fixed number of electrons: The 1st shell can hold up to two electrons, the 2nd shell can hold up to eight electrons, the 3rd shell can hold up to 18, and 4th shell can hold up to 32 and so on..
| how are the # of electrons in each shell determined? | wiki_qa_Generate_Question_from_Topic | P3 | zs_noopt | 0 | train |
Problem: Generate a question about the topic "J. K. Rowling" whose answer would be: The 2008 Sunday Times Rich List estimated Rowling's fortune at £560 million ($798 million), ranking her as the twelfth richest woman in the United Kingdom..
A: how much is jk rowling worth?
Problem: Given the question: Generate a ques... | who invented the television? | wiki_qa_Generate_Question_from_Topic | P3 | fs_opt | 3 | train |
[Q]: Generate a question about the topic "Money supply" whose answer would be: There is strong empirical evidence of a direct relation between money-supply growth and long-term price inflation, at least for rapid increases in the amount of money in the economy..
****
[A]: what affects the money supply?
[Q]: Generate ... | what is a mms message? | wiki_qa_Generate_Question_from_Topic | P3 | fs_opt | 4 | test |
input: Please answer the following: Generate a question about the topic "Electric chair" whose answer would be: As of 2010, electrocution is an optional form of execution in Alabama , Florida , South Carolina and Virginia ..
++++++++++
output: what states has the electric chair?
Please answer this: Generate a question... | what is el morro in puerto rico? | wiki_qa_Generate_Question_from_Topic | P3 | fs_opt | 8 | validation |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Against
| task1646_dataset_card_for_catalonia_independence_corpus_text_classification | NIv2 | fs_opt | 7 | train |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Against
| task1646_dataset_card_for_catalonia_independence_corpus_text_classification | NIv2 | fs_opt | 1 | train |
Detailed Instructions: In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweet... | Favor | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | NIv2 | zs_opt | 9 | train |
You will be given a definition of a task first, then some input of the task.
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independ... | Favor | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | NIv2 | zs_opt | 1 | train |
You will be given a definition of a task first, then some input of the task.
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independ... | Against | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | NIv2 | zs_opt | 1 | train |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Against | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | NIv2 | fs_opt | 6 | train |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Against | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | NIv2 | fs_opt | 6 | train |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Favor
| task1646_dataset_card_for_catalonia_independence_corpus_text_classification | NIv2 | fs_opt | 6 | train |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Against | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | NIv2 | fs_opt | 3 | test |
You will be given a definition of a task first, then some input of the task.
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independ... | Favor | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | NIv2 | zs_opt | 1 | validation |
Detailed Instructions: In this task, you need to indicate the presence of temporal reasoning in the provided question. Questions that involve temporal reasoning/understanding contain one of the following five temporal phenomena: First: "event duration", is defined as the understanding of how long events last (e.g.,"bru... | Yes. | task018_mctaco_temporal_reasoning_presence | NIv2 | zs_opt | 8 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you need to indicate the presence of temporal reasoning in the provided question. Questions that involve temporal reasoning/understanding contain one of the following five temporal phenomena: First: "event duration", is defined a... | Yes. | task018_mctaco_temporal_reasoning_presence | NIv2 | zs_opt | 1 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you need to indicate the presence of temporal reasoning in the provided question. Questions that involve temporal reasoning/understanding contain one of the following five temporal phenomena: First: "event duration", is defined a... | Yes. | task018_mctaco_temporal_reasoning_presence | NIv2 | zs_opt | 1 | train |
In this task, you need to indicate the presence of temporal reasoning in the provided question. Questions that involve temporal reasoning/understanding contain one of the following five temporal phenomena: First: "event duration", is defined as the understanding of how long events last (e.g.,"brushing teeth" usually ta... | Yes.
| task018_mctaco_temporal_reasoning_presence | NIv2 | fs_opt | 3 | train |
Part 1. Definition
In this task, you need to indicate the presence of temporal reasoning in the provided question. Questions that involve temporal reasoning/understanding contain one of the following five temporal phenomena: First: "event duration", is defined as the understanding of how long events last (e.g.,"brushin... | Yes. | task018_mctaco_temporal_reasoning_presence | NIv2 | fs_opt | 7 | train |
Given the task definition and input, reply with output. In this task, you need to indicate the presence of temporal reasoning in the provided question. Questions that involve temporal reasoning/understanding contain one of the following five temporal phenomena: First: "event duration", is defined as the understanding o... | Yes. | task018_mctaco_temporal_reasoning_presence | NIv2 | zs_opt | 5 | train |
Instructions: In this task, you need to indicate the presence of temporal reasoning in the provided question. Questions that involve temporal reasoning/understanding contain one of the following five temporal phenomena: First: "event duration", is defined as the understanding of how long events last (e.g.,"brushing tee... | Yes. | task018_mctaco_temporal_reasoning_presence | NIv2 | zs_opt | 3 | train |
Q: In this task, you need to indicate the presence of temporal reasoning in the provided question. Questions that involve temporal reasoning/understanding contain one of the following five temporal phenomena: First: "event duration", is defined as the understanding of how long events last (e.g.,"brushing teeth" usually... | No. | task018_mctaco_temporal_reasoning_presence | NIv2 | zs_opt | 7 | train |
Teacher:In this task, you need to indicate the presence of temporal reasoning in the provided question. Questions that involve temporal reasoning/understanding contain one of the following five temporal phenomena: First: "event duration", is defined as the understanding of how long events last (e.g.,"brushing teeth" us... | Yes. | task018_mctaco_temporal_reasoning_presence | NIv2 | zs_opt | 6 | test |
Given the task definition and input, reply with output. In this task, you need to indicate the presence of temporal reasoning in the provided question. Questions that involve temporal reasoning/understanding contain one of the following five temporal phenomena: First: "event duration", is defined as the understanding o... | Yes. | task018_mctaco_temporal_reasoning_presence | NIv2 | zs_opt | 5 | validation |
You will be given a definition of a task first, then some input of the task.
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Brazil are hosting the next World Cup but who is their coach?
Output: | brazil national football team | task899_freebase_qa_topic_generation | NIv2 | zs_opt | 1 | train |
You will be given a definition of a task first, then some input of the task.
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
With which sport was American Babe Ruth most commonly associated?
Output: | babe ruth | task899_freebase_qa_topic_generation | NIv2 | zs_opt | 1 | train |
Given the task definition and input, reply with output. Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Paul Young and Susan Boyle have covered Don't Dream It's Over, which was written for (and was a US hit record for) which band?
| don't dream it's over | task899_freebase_qa_topic_generation | NIv2 | zs_opt | 5 | train |
Given the task definition and input, reply with output. Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
What is the main river of Brazil?
| brazil | task899_freebase_qa_topic_generation | NIv2 | zs_opt | 5 | train |
TASK DEFINITION: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
PROBLEM: Which comedian starred in the ABC sitcom Chicken Soup?
SOLUTION: chicken soup
PROBLEM: Which future Nobel Prize winner did Bill Clinton choose as his Vice President?
S... | chesley sullenberger
| task899_freebase_qa_topic_generation | NIv2 | fs_opt | 8 | train |
Detailed Instructions: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Q: After nine years of work, ' A Dictionary of the English Language' was published in 1755. Who was the compiler?
A: | a dictionary of the english language | task899_freebase_qa_topic_generation | NIv2 | zs_opt | 9 | train |
Given the task definition, example input & output, solve the new input case.
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Example: Who was the first American President?
Output: president of the united states
The question talks about the pres... | belgium | task899_freebase_qa_topic_generation | NIv2 | fs_opt | 1 | train |
Instructions: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Input: Which architect designed the Crystal Palace for the Great Exhibition of 1851?
Output: | the crystal palace | task899_freebase_qa_topic_generation | NIv2 | zs_opt | 3 | train |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
One example: Who was the first American President?
Solution is here: president of the united states
Explanation: The question talks about the president of the USA.
Now, solve this: Which Dickens ... | charles dickens | task899_freebase_qa_topic_generation | NIv2 | fs_opt | 6 | test |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Example: Who was the first American President?
Example solution: president of the united states
Example explanation: The question talks about the president of the USA.
Problem: Which German compo... | Solution: composer | task899_freebase_qa_topic_generation | NIv2 | fs_opt | 5 | validation |
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