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Question: Read the following context and choose the correct option to answer the question. Context: For those of us who struggle with thoughts about our size and shape, sometimes we don’t like our bodies and our behaviour very much. It seems like an impossible task to transform our self loathing into self-love, but it ... | D | quail_description_context_question_answer_id | P3 | zs_opt | 4 | train |
Read the following context and choose the correct option to answer the question. Context: The sighting of a killer whale (or orca) can be rare, but they do love to hunt and play in the waters between Vancouver and Seattle, so one of the activities we absolutely wanted to do (in addition to the harbour seaplane flight) ... | B | quail_description_context_question_answer_id | P3 | fs_opt | 0 | train |
Please answer the following question: Read the following context and choose the correct option to answer the question. Context: This is part two of a four part series on Inner Wisdom Eating (IWE) The 4 steps of Inner Wisdom Eating (or eating like a thin person) are exactly the same as those promoted by Intuitive Eating... | A | quail_description_context_question_answer_id | P3 | zs_noopt | 8 | train |
Please answer the following question: Read the following context and choose the correct option to answer the question. Context: My love affair with technology began at an early age. On my seventh birthday, my parents bought me a second-hand ZX Spectrum and, in a foretaste of my life to come, I immediately set about lea... | A | quail_description_context_question_answer_id | P3 | zs_opt | 9 | train |
Read the following context and choose the correct option to answer the question. Context: WHITE HOUSE — A day after U.S. President Donald Trump reversed a policy of separating migrant families at the U.S.-Mexico border, the House of Representatives is set to vote Thursday on a pair of immigration bills that address the... | C | quail_description_context_question_answer_id | P3 | fs_opt | 6 | train |
Read the following context and choose the correct option to answer the question. Context: SEOUL, SOUTH KOREA — U.S. Secretary of State Mike Pompeo Thursday pushed back against a North Korean state media report that U.S. President Donald Trump agreed during this week’s Singapore summit with Kim Jong Un to gradually lift... | B | quail_description_context_question_answer_id | P3 | fs_opt | 6 | train |
Answer the following question: Read the following context and choose the correct option to answer the question. Context: Alona's persistent knocking at the door of room 412 went unanswered for three minutes as she nervously shuffled her feet. Her book bag was super-saturated with textbooks, notebooks, schedules, rough ... | B | quail_description_context_question_answer_id | P3 | zs_opt | 5 | train |
Read the following context and choose the correct option to answer the question. Context: One of the more surprising objects in the Getty Villa’s newly reinstalled gallery of later Roman sculpture is a marble bust of a youth leaning out of a circular frame, mounted high on the gallery wall. J. Paul Getty originally acq... | B | quail_description_context_question_answer_id | P3 | fs_opt | 9 | train |
Answer the following question: Read the following context and choose the correct option to answer the question. Context: I lost sight in one eye when in college, I had two preschool children at the time. I was walking through the house one morning and suddenly I could see NOTHING out of one eye. When I told my husband,... | C | quail_description_context_question_answer_id | P3 | zs_opt | 5 | test |
Read the following context and choose the correct option to answer the question. Context: Trisha dreamed of being a Playboy Bunny since the days she still had buck-teeth and fried egg boobs. She blu-tacked page threes above her bed-head and had me snap topless Polaroids till they littered the floor. She told me to imag... | A | quail_description_context_question_answer_id | P3 | zs_noopt | 1 | validation |
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
నేను మీరు నేర్పుతుంది. | So I'll teach you. | task1324_open_subtitles_te_en_translation | NIv2 | zs_opt | 0 | train |
Detailed Instructions: The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Problem:మీరు మిస్టర్ కీఫే మాకు ' అక్కడ వెయిటింగ్ గొన్నా అన్నారు?
Solution: | You said Mr. O'Keefe is gonna be there waitin' for us? | task1324_open_subtitles_te_en_translation | NIv2 | zs_opt | 8 | train |
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
[EX Q]: వంటిఉక్కునమ్ముతున్నానుమారిపోయాడు
[EX A]: Young turns to old like steel turns to rust
[EX Q]: మీరు అతన్ని WHAT THE... | Safety's on.
| task1324_open_subtitles_te_en_translation | NIv2 | fs_opt | 6 | train |
Part 1. Definition
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Part 2. Example
అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అరణ్య యొక్క చెప్పబడ్డాయి, కానీమోగ్లీఅనేచిన్నబాలుడుకథ ... | Yes, you see, I have trouble with my sinuses. | task1324_open_subtitles_te_en_translation | NIv2 | fs_opt | 7 | train |
Given the task definition, example input & output, solve the new input case.
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Example: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అర... | - ( tires screeching ) | task1324_open_subtitles_te_en_translation | NIv2 | fs_opt | 1 | train |
Definition: The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Input: MAN: WABASHకాన్నోన్బాల్న అడవిలో (గానం) Ridin '
Output: | MAN: (SINGING) Ridin' through the jungle on the Wabash Cannonball | task1324_open_subtitles_te_en_translation | NIv2 | zs_opt | 2 | 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.
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
అ... | A long, long time ago, in a land far, far away there lived a warrior. | task1324_open_subtitles_te_en_translation | NIv2 | fs_opt | 0 | train |
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
మాన్, మేము అతనితో!
Man, we got him!
(వాన్చేరడంతో)
( van approaching )
(whirring)
| ( whirring )
| task1324_open_subtitles_te_en_translation | NIv2 | fs_opt | 0 | train |
Teacher: The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Teacher: Now, understand the problem? If you are still confused, see the following example:
అనేకవింతపురాణములు భారత... | When we get our dough, why don't you go away a while? | task1324_open_subtitles_te_en_translation | NIv2 | fs_opt | 2 | test |
Given the task definition and input, reply with output. The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
మీరు, కొత్త కాదు ఉంటాయి?
| You are new, aren't you? | task1324_open_subtitles_te_en_translation | NIv2 | zs_opt | 5 | validation |
Please answer the following question: Read the following article and select the best answer. Article: I can remember the day my father came home from the war. As he walked up the front path of our home, he saw Mum and me and he dropped the suitcase. I was only five years old so Dad made a fuss of me, then began making ... | it was time to stop practicing | race_high_Select_the_best_answer_generate_span_ | P3 | zs_noopt | 9 | train |
Question: Read the following article and select the best answer. Article: London has always been known for its "black fogs". In the winter of 1952, a milky white fog rolled into the city. As the smoke poured into the air, it was so hard to see that people had to walk in front of the buses to guide them. In this way, th... | London | race_high_Select_the_best_answer_generate_span_ | P3 | zs_opt | 4 | train |
Read the following article and select the best answer. Article: I am wearing a small red ribbon this morning to remind myself and others around me that today is World AIDS Day. The red ribbon, an international symbol of AIDS awareness, is gaining increasing public recognition as more Chinese, from top leaders to movie ... | what caused the deaths of Diana and her boyfriend
------ | race_high_Select_the_best_answer_generate_span_ | P3 | fs_opt | 5 | train |
(Question)
Read the following article and select the best answer. Article: College students go 'blind for a day' A group of 18 students at the prefix = st1 /leshanTeachers' Collegeexperienced the hardships of the vision damaged during a "blind for a day" exercise over the weekend. The college's Department of Education ... | Because the paintings are believed to contain illnesses. | race_high_Select_the_best_answer_generate_span_ | P3 | fs_opt | 6 | train |
Read the following article and select the best answer. Article: In my long years of teaching, I often ask my students to read the texts until they can recite them, and I tell them that recitation is an important part of their homework. However, some of my students are tired of doing so, thinking that it is both hard an... | go about or stay home instead of being at school | race_high_Select_the_best_answer_generate_span_ | P3 | fs_opt | 0 | train |
Read the following article and select the best answer. Article: What is Bay? The simple answer is that it is a global trading platform where nearly anyone can trade practically anything. People can sell and buy all kinds of products and goods. Including cars, movies and DVDs, sporting goods, travel tickets, musical ins... | Because the stories were spread that western nations had poisoned the vaccine with the virus that causes AIDS. | race_high_Select_the_best_answer_generate_span_ | P3 | fs_opt | 6 | train |
Read the following article and select the best answer. Article: One day, there was a blind man called John sitting on a bench with a hat by his feet and a sign that read, "I am blind. Please help me." A reporter named Tom was walking by the blind man and stopped to see that the man only had a few coins in his hat. He p... | . The reporter | race_high_Select_the_best_answer_generate_span_ | P3 | zs_noopt | 1 | train |
(Q).
Read the following article and select the best answer. Article: A WOMAN walks into a small stall and eats a cheap bowl of instant noodles, paying 1,500 won. Then she moves into a Starbucks coffee shop, where she drinks a cup of mocha, paying 4,300 won. Surprised? This is the typical behaviour of South Korean youn... | You are alone. | race_high_Select_the_best_answer_generate_span_ | P3 | fs_opt | 8 | train |
Given the question: Read the following article and select the best answer. Article: We're one of the biggest ESL professional organizations in Shanghai, China and we have 10 primary schools, 2 middle schools, and 5 kindergartens in Shanghai and 1 in Suzhou. For these schools, we only need oral English teachers. We also... | some native English teachers to work in Shanghai | race_high_Select_the_best_answer_generate_span_ | P3 | zs_noopt | 6 | test |
Given the question: Read the following article and select the best answer. Article: The New York Times announced Wednesday that it intended to charge frequent readers for access to its website, a step being debated across the industry that nearly every major newspaper has so far feared to take. Starting in early 2011, ... | Serious. | race_high_Select_the_best_answer_generate_span_ | P3 | zs_opt | 6 | validation |
Detailed Instructions: You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from th... | Option B | task750_aqua_multiple_choice_answering | NIv2 | zs_opt | 8 | train |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Option C | task750_aqua_multiple_choice_answering | NIv2 | fs_opt | 6 | train |
Teacher:You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given optio... | Option E | task750_aqua_multiple_choice_answering | NIv2 | zs_opt | 6 | train |
Given the task definition, example input & output, solve the new input case.
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to ans... | Option C | task750_aqua_multiple_choice_answering | NIv2 | fs_opt | 1 | train |
Detailed Instructions: You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from th... | Option E | task750_aqua_multiple_choice_answering | NIv2 | zs_opt | 8 | train |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Output: Option B
| task750_aqua_multiple_choice_answering | NIv2 | fs_opt | 2 | train |
Teacher:You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given optio... | Option A | task750_aqua_multiple_choice_answering | NIv2 | zs_opt | 6 | train |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Option E
| task750_aqua_multiple_choice_answering | NIv2 | fs_opt | 7 | train |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Option A | task750_aqua_multiple_choice_answering | NIv2 | zs_opt | 0 | test |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Output: Option D
| task750_aqua_multiple_choice_answering | NIv2 | fs_opt | 2 | validation |
[Q]: Answer this question: what country is turkey in?
****
[A]: Turkey is bordered by eight countries: Bulgaria to the northwest; Greece to the west; Georgia to the northeast; Armenia , Iran and the Azerbaijani exclave of Nakhchivan to the east; and Iraq and Syria to the southeast.
[Q]: Answer this question: what are... | Beatrice "Bea" Arthur (May 13, 1922 – April 25, 2009) was an American actress, comedienne, and singer whose career spanned seven decades. | wiki_qa_Direct_Answer_to_Question | P3 | fs_opt | 4 | train |
input: Please answer the following: Answer this question: where is keith whitley from?
++++++++++
output: Jackie Keith Whitley (July 1, 1954Stambler, Irwin, and Grelun Landon (2000). - Country Music: The Encyclopedia. - New York: St. Martin's Press. - p.533. - ISBN 978-0-312-26487-1.—Carlin, Richard (2003). - Country M... | At present the region is home to 14 million people and has 120 million annual visitors. | wiki_qa_Direct_Answer_to_Question | P3 | fs_opt | 8 | train |
Given the question: Answer this question: what does a vote to table a motion mean??
The answer is: | In the United States, to table usually means the to lay [the topic] on the table or to move for postponement of consideration; a proposal to suspend consideration of a pending motion. | wiki_qa_Direct_Answer_to_Question | P3 | zs_noopt | 6 | train |
Question: Answer this question: what movement was elizabeth cady stanton a part of?
Answer: Her Declaration of Sentiments , presented at the first women's rights convention held in 1848 in Seneca Falls , New York , is often credited with initiating the first organized women's rights and women's suffrage movements in th... | Everybody Hates Chris is an American television period sitcom that depicts the teenage experiences of comedian Chris Rock (who is also the narrator ) while growing up in the Bedford-Stuyvesant neighborhood of Brooklyn, New York . | wiki_qa_Direct_Answer_to_Question | P3 | fs_opt | 4 | train |
[Q]: Answer this question: what do pigs eat?
****
[A]: Pigs are omnivores and are highly social and intelligent animals.
input: Please answer the following: Answer this question: how many vehicles are registered in the us?
++++++++++
output: Overall, there were an estimated 254.4 million registered passenger vehicles... | The 2010 Haiti earthquake was a catastrophic magnitude 7.0 Mw earthquake , with an epicenter near the town of Léogâne ( Ouest Department ), approximately west of Port-au-Prince , Haiti's capital. | wiki_qa_Direct_Answer_to_Question | P3 | fs_opt | 6 | train |
Question: Answer this question: what cheese is made from goat's milk?
Answer: | Goat cheese, or chèvre (from the French word for goat), is cheese made out of the milk of goats . | wiki_qa_Direct_Answer_to_Question | P3 | zs_noopt | 4 | train |
Q:Answer this question: who is victoria jackson from saturday night live?
A: | Victoria Jackson (born August 2, 1959) is an American comedian, actress, satirist, singer and internet blogger best known as a cast member of the NBC television sketch comedy series Saturday Night Live (SNL) from 1986 to 1992. | wiki_qa_Direct_Answer_to_Question | P3 | zs_noopt | 3 | train |
input question: Answer this question: what was the cash and carry lend lease????
output answer: The Lend Lease act was an act where the United States had supported its allies.
input question: Answer this question: what is the defensive line in football called????
output answer: Within those platoons, various specific ... | 3G, short for third Generation, is the third generation of mobile telecommunications technology. | wiki_qa_Direct_Answer_to_Question | P3 | fs_opt | 9 | train |
Q: Answer this question: What causes rogue waves?
A: Rogue waves seem not to have a single distinct cause, but occur where physical factors such as high winds and strong currents cause waves to merge to create a single exceptionally large wave.
Question: Answer this question: where is shropshire, uk?
Answer: Shropshi... | In basketball , an assist is attributed to a player who passes the ball to a teammate in a way that leads to a score by field goal , meaning that he or she was "assisting" in the basket. | wiki_qa_Direct_Answer_to_Question | P3 | fs_opt | 2 | test |
Answer this question: when was srv born?
Ans: Stephen "Stevie" Ray Vaughan (October 3, 1954 – August 27, 1990) was an American guitarist, singer-songwriter, and record producer.
Answer this question: when was the lady gaga judas song released?
Ans: It was released by Interscope Records on April 15, 2011, four days ahe... | Ans: St. Elizabeth is a village in Miller County , Missouri , United States . | wiki_qa_Direct_Answer_to_Question | P3 | fs_opt | 0 | validation |
instruction:
In this task, you need to count the number of nouns/verbs in the given sentence.
question:
Sentence: 'Two sandwiches sitting on top of papers on a table'. Count the number of verbs in this sentence.
answer:
1
question:
Sentence: 'A person is walking with their dog in a backpack in the park'. Count the nu... | 5
| task155_count_nouns_verbs | NIv2 | fs_opt | 9 | train |
In this task, you need to count the number of nouns/verbs in the given sentence.
Q: Sentence: 'Painting of a large elephant walking through an open field by itself'. Count the number of nouns in this sentence.
A: 3
****
Q: Sentence: 'A person wipes out on their surfboard in the ocean'. Count the number of nouns in th... | 3
****
| task155_count_nouns_verbs | NIv2 | fs_opt | 4 | train |
Instructions: In this task, you need to count the number of nouns/verbs in the given sentence.
Input: Sentence: 'A couple of buses that are sitting in front of a building'. Count the number of verbs in this sentence.
Output: | 1 | task155_count_nouns_verbs | NIv2 | zs_opt | 3 | train |
In this task, you need to count the number of nouns/verbs in the given sentence.
Sentence: 'Two pictures of a dog and a cat sitting'. Count the number of verbs in this sentence. | 1 | task155_count_nouns_verbs | NIv2 | zs_opt | 0 | train |
Detailed Instructions: In this task, you need to count the number of nouns/verbs in the given sentence.
Problem:Sentence: 'a fire hydrant in front of a building'. Count the number of nouns in this sentence.
Solution: | 4 | task155_count_nouns_verbs | NIv2 | zs_opt | 8 | train |
In this task, you need to count the number of nouns/verbs in the given sentence.
--------
Question: Sentence: 'An open refrigerator in a home in disrepair'. Count the number of nouns in this sentence.
Answer: 3
Question: Sentence: 'a man is pulling is surfboard towards the water'. Count the number of verbs in this s... | 1
| task155_count_nouns_verbs | NIv2 | fs_opt | 7 | train |
In this task, you need to count the number of nouns/verbs in the given sentence.
Example: Sentence: 'A small toy kept on tray held by a man'. Count the number of nouns in this sentence.
Example solution: 3
Example explanation: The words 'toy', 'tray', and 'man' are nouns in this sentence. So, the answer is 3.
Problem:... | Solution: 3 | task155_count_nouns_verbs | NIv2 | fs_opt | 5 | train |
Teacher:In this task, you need to count the number of nouns/verbs in the given sentence.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'A group of men leaning over rail as a dog approaches them'. Count the number of verbs in this sentence.
Student: | 2 | task155_count_nouns_verbs | 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.
In this task, you need to count the number of nouns/verbs in the given sentence.
Sentence: 'A small toy kept on tray held by a man'. Count the number of nouns in this sentence.
Solution: 3
Why? The ... | 1 | task155_count_nouns_verbs | NIv2 | fs_opt | 0 | test |
You will be given a definition of a task first, then some input of the task.
In this task, you need to count the number of nouns/verbs in the given sentence.
Sentence: 'Woman and young child riding on a public transit bus'. Count the number of nouns in this sentence.
Output: | 4 | task155_count_nouns_verbs | NIv2 | zs_opt | 1 | validation |
Teacher:The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targ... | Hate Speech | task1502_hatexplain_classification | NIv2 | zs_opt | 6 | train |
The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
a... | Offensive
| task1502_hatexplain_classification | NIv2 | fs_opt | 0 | train |
The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
On... | Hate Speech | task1502_hatexplain_classification | NIv2 | fs_opt | 9 | train |
Given the task definition and input, reply with output. The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or di... | Offensive | task1502_hatexplain_classification | NIv2 | zs_opt | 5 | train |
Detailed Instructions: The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the... | Normal | task1502_hatexplain_classification | NIv2 | zs_opt | 8 | train |
Instructions: The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the communit... | Hate Speech | task1502_hatexplain_classification | NIv2 | zs_opt | 3 | train |
You will be given a definition of a task first, then some input of the task.
The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will ... | Offensive | task1502_hatexplain_classification | NIv2 | zs_opt | 1 | train |
The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
i... | Hate Speech | task1502_hatexplain_classification | NIv2 | zs_opt | 0 | train |
Teacher:The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targ... | Hate Speech | task1502_hatexplain_classification | NIv2 | zs_opt | 6 | test |
The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
s... | Offensive | task1502_hatexplain_classification | NIv2 | zs_opt | 0 | validation |
Teacher:Given a statement and question, generate the answer to the question such that the answer is contained in the statement.
Teacher: Now, understand the problem? Solve this instance: statement: Vultures move their wings using muscles in the chest, question: What do Vultures move their wings using?
Student: | muscles in the chest | task1581_eqasc_perturbed_answer_generation | NIv2 | zs_opt | 6 | train |
Detailed Instructions: Given a statement and question, generate the answer to the question such that the answer is contained in the statement.
Problem:statement: an optical system is used for observing stars by researchers, question: What is used for observing stars by researchers?
Solution: | an optical system | task1581_eqasc_perturbed_answer_generation | NIv2 | zs_opt | 8 | train |
Teacher:Given a statement and question, generate the answer to the question such that the answer is contained in the statement.
Teacher: Now, understand the problem? Solve this instance: statement: Healing of breaks requires cells specialized in bone remodeling, question: What does healing of breaks require cells speci... | bone remodeling | task1581_eqasc_perturbed_answer_generation | NIv2 | zs_opt | 6 | train |
Given the task definition, example input & output, solve the new input case.
Given a statement and question, generate the answer to the question such that the answer is contained in the statement.
Example: statement: Neurons deliver electrical impulses to other cells, question: What do neurons deliver to other cells?
O... | Scales | task1581_eqasc_perturbed_answer_generation | NIv2 | fs_opt | 1 | train |
Given a statement and question, generate the answer to the question such that the answer is contained in the statement.
Example Input: statement: The outermost whorl of changed leaves are usually green, question: What type of leaves are the outermost?
Example Output: green
Example Input: statement: Pests spread disea... | psychoactive
| task1581_eqasc_perturbed_answer_generation | NIv2 | fs_opt | 3 | train |
Given a statement and question, generate the answer to the question such that the answer is contained in the statement.
statement: front paws are used to catch prey by some cats., question: Who uses front paws to catch prey?
cats
statement: Fowl fly using muscles in their chest., question: What is a form of a fly tha... | young birds
| task1581_eqasc_perturbed_answer_generation | NIv2 | fs_opt | 0 | train |
Given the task definition and input, reply with output. Given a statement and question, generate the answer to the question such that the answer is contained in the statement.
statement: bugs spread disease and destroy corn, question: What do bugs destroy?
| corn | task1581_eqasc_perturbed_answer_generation | NIv2 | zs_opt | 5 | train |
Teacher: Given a statement and question, generate the answer to the question such that the answer is contained in the statement.
Teacher: Now, understand the problem? If you are still confused, see the following example:
statement: Neurons deliver electrical impulses to other cells, question: What do neurons deliver to... | teeth | task1581_eqasc_perturbed_answer_generation | NIv2 | fs_opt | 2 | train |
Detailed Instructions: Given a statement and question, generate the answer to the question such that the answer is contained in the statement.
Q: statement: Humans are the dominant land animals, question: What are the dominant land animals?
A: | Humans | task1581_eqasc_perturbed_answer_generation | NIv2 | zs_opt | 9 | test |
Given a statement and question, generate the answer to the question such that the answer is contained in the statement.
statement: Octopuses expel a dark cloud to hide from dolphins., question: What expels a dark cloud to hide from dolphins? | Octopuses | task1581_eqasc_perturbed_answer_generation | NIv2 | zs_opt | 0 | validation |
You will be given a definition of a task first, then some input of the task.
Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
entity: coffee
before: outside of mixture
after: i... | location of coffee was outside of mixture before and inside of mixture afterwards | task1631_openpi_answer_generation | NIv2 | zs_opt | 1 | train |
Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
Example input: entity: arm
before: free
after: grasped
attr: state
Example output: state of arm was free before and grasped a... | location of system was in cupboard before and removed from cupboard afterwards | task1631_openpi_answer_generation | NIv2 | fs_opt | 3 | train |
Definition: Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
Input: entity: saucepan
before: empty
after: now fuller
attr: state
Output: | state of saucepan was empty before and now fuller afterwards | task1631_openpi_answer_generation | NIv2 | zs_opt | 2 | train |
You will be given a definition of a task first, then some input of the task.
Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
entity: row
before: knitted row
after: now purled ... | state of row was a knitted row before and now a purled row afterwards | task1631_openpi_answer_generation | NIv2 | zs_opt | 1 | train |
TASK DEFINITION: Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
PROBLEM: entity: you
before: looking for wheels
after: now in possession of wheels
attr: possession
SOLUTION:... | temperature of water was hot before and colder afterwards
| task1631_openpi_answer_generation | NIv2 | fs_opt | 8 | train |
Detailed Instructions: Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
Q: entity: papers
before: in drawer's possession
after: handed to player
attr: ownership
A: | ownership of papers was in drawer's possession before and handed to another player afterwards | task1631_openpi_answer_generation | NIv2 | zs_opt | 9 | train |
You will be given a definition of a task first, then some input of the task.
Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
entity: the stem
before: connected
after: cut off ... | state of the stem was connected before and cut off afterwards | task1631_openpi_answer_generation | NIv2 | zs_opt | 1 | 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 an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
entity:... | state of climber was unsupported before and supported afterwards | task1631_openpi_answer_generation | NIv2 | fs_opt | 0 | train |
Given the task definition, example input & output, solve the new input case.
Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
Example: entity: arm
before: free
after: grasped
... | location of fertiliser was in package before and in soil afterwards | task1631_openpi_answer_generation | NIv2 | fs_opt | 1 | test |
Detailed Instructions: Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
Problem:entity: roof
before: dry
after: wet
attr: moisture
Solution: | moisture of roof was dry before and wet afterwards | task1631_openpi_answer_generation | NIv2 | zs_opt | 8 | validation |
Given the task definition and input, reply with output. Read an exchange between SENDER A and SENDER B, and answer whether SENDER A is a 'Bot' or a 'Human'. There are only a maximum of two senders (A and B) per conversation, and there are no conversations where SENDER A and SENDER B are both bots, or both humans; only ... | Human | task855_conv_ai_2_classification | NIv2 | zs_opt | 5 | train |
Read an exchange between SENDER A and SENDER B, and answer whether SENDER A is a 'Bot' or a 'Human'. There are only a maximum of two senders (A and B) per conversation, and there are no conversations where SENDER A and SENDER B are both bots, or both humans; only one sender per conversation can be a bot, and only one c... | Human | task855_conv_ai_2_classification | NIv2 | zs_opt | 4 | train |
Detailed Instructions: Read an exchange between SENDER A and SENDER B, and answer whether SENDER A is a 'Bot' or a 'Human'. There are only a maximum of two senders (A and B) per conversation, and there are no conversations where SENDER A and SENDER B are both bots, or both humans; only one sender per conversation can b... | Human | task855_conv_ai_2_classification | NIv2 | zs_opt | 9 | train |
Read an exchange between SENDER A and SENDER B, and answer whether SENDER A is a 'Bot' or a 'Human'. There are only a maximum of two senders (A and B) per conversation, and there are no conversations where SENDER A and SENDER B are both bots, or both humans; only one sender per conversation can be a bot, and only one c... | Human
| task855_conv_ai_2_classification | NIv2 | fs_opt | 0 | train |
Read an exchange between SENDER A and SENDER B, and answer whether SENDER A is a 'Bot' or a 'Human'. There are only a maximum of two senders (A and B) per conversation, and there are no conversations where SENDER A and SENDER B are both bots, or both humans; only one sender per conversation can be a bot, and only one c... | Human | task855_conv_ai_2_classification | NIv2 | fs_opt | 3 | train |
Given the task definition, example input & output, solve the new input case.
Read an exchange between SENDER A and SENDER B, and answer whether SENDER A is a 'Bot' or a 'Human'. There are only a maximum of two senders (A and B) per conversation, and there are no conversations where SENDER A and SENDER B are both bots, ... | Bot | task855_conv_ai_2_classification | NIv2 | fs_opt | 1 | train |
Read an exchange between SENDER A and SENDER B, and answer whether SENDER A is a 'Bot' or a 'Human'. There are only a maximum of two senders (A and B) per conversation, and there are no conversations where SENDER A and SENDER B are both bots, or both humans; only one sender per conversation can be a bot, and only one c... | Human | task855_conv_ai_2_classification | NIv2 | fs_opt | 6 | train |
You will be given a definition of a task first, then some input of the task.
Read an exchange between SENDER A and SENDER B, and answer whether SENDER A is a 'Bot' or a 'Human'. There are only a maximum of two senders (A and B) per conversation, and there are no conversations where SENDER A and SENDER B are both bots, ... | Bot | task855_conv_ai_2_classification | NIv2 | zs_opt | 1 | train |
Read an exchange between SENDER A and SENDER B, and answer whether SENDER A is a 'Bot' or a 'Human'. There are only a maximum of two senders (A and B) per conversation, and there are no conversations where SENDER A and SENDER B are both bots, or both humans; only one sender per conversation can be a bot, and only one c... | Human
| task855_conv_ai_2_classification | NIv2 | fs_opt | 6 | test |
Detailed Instructions: Read an exchange between SENDER A and SENDER B, and answer whether SENDER A is a 'Bot' or a 'Human'. There are only a maximum of two senders (A and B) per conversation, and there are no conversations where SENDER A and SENDER B are both bots, or both humans; only one sender per conversation can b... | Human | task855_conv_ai_2_classification | NIv2 | zs_opt | 8 | validation |
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