source stringlengths 17 501k | target stringlengths 0 8.23k | task_name stringlengths 8 85 | task_source stringclasses 4
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Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.
Ex Input:
american_football
Ex Output:
Who was the Head Coach of the Green Bay Packers from 1959 to 1967 - ... | What highly influential movement of artwork is considered established by Picasso, Braque, Metzinger and others in Paris, 1911?
| task901_freebase_qa_category_question_generation | NIv2 | fs_opt | 1 | train |
Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.
opera | Who stabbed 'Carmen' in the opera of the same name? | task901_freebase_qa_category_question_generation | NIv2 | zs_opt | 0 | train |
Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.
Input: chemistry
Output: | Flourine, Bromine, Iodine and Chlorine are all what type of elements? | task901_freebase_qa_category_question_generation | NIv2 | zs_opt | 2 | train |
Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.
tv | In the children's television programme, who is the voice of Bob the Builder's father? | task901_freebase_qa_category_question_generation | NIv2 | zs_opt | 0 | train |
Given the task definition, example input & output, solve the new input case.
Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.
Example: boat
Output: In 1907, w... | In the films Batman Forever (1995) and Batman & Robin (1997) who was Bruce Wayne's ward? | task901_freebase_qa_category_question_generation | NIv2 | fs_opt | 1 | train |
Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.
Q: music
A: | What was the title of Bob the Builder`s second UK number one hit single? | task901_freebase_qa_category_question_generation | NIv2 | zs_opt | 4 | 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 a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain... | If the Solvay Conferences of the early 1910s set the tone for 20th century physics, the Dartmouth Conferences of 1956 have similar importance for what field of science? | task901_freebase_qa_category_question_generation | NIv2 | fs_opt | 0 | train |
Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.
games | From which other card game is bridge derived ? | task901_freebase_qa_category_question_generation | NIv2 | zs_opt | 0 | train |
Definition: Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.
Input: medicine
Output: | The bacterium Bordetella pertussis is the causative agent for which childhood disease? | task901_freebase_qa_category_question_generation | NIv2 | zs_opt | 2 | test |
Given a broad category, generate a trivia-type question based on a specific entity in that category. The question should be non-ambiguous. External resources such as Wikipedia could be used to obtain the facts.
Input: Consider Input: medicine
Output: The bacterium Bordetella pertussis is the causative agent for which... | Output: Who carried the flag for Britain at the opening ceremony at the 2012 Olympic Games?
| task901_freebase_qa_category_question_generation | NIv2 | fs_opt | 2 | validation |
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 real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and... | waking my mom all the time | task500_scruples_anecdotes_title_generation | NIv2 | fs_opt | 0 | train |
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
We moved into a townhous... | taking down someone else's lost cat flyers | task500_scruples_anecdotes_title_generation | NIv2 | zs_opt | 0 | train |
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
--------
Question: The ru... | getting upset that my ex went back to her old fwb after we broke up
| task500_scruples_anecdotes_title_generation | NIv2 | fs_opt | 7 | train |
Detailed Instructions: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Pr... | not grabbing my gf pizza | task500_scruples_anecdotes_title_generation | NIv2 | zs_opt | 8 | train |
You will be given a definition of a task first, then some input of the task.
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so... | breaking up with my fiancee over something I found while snooping | task500_scruples_anecdotes_title_generation | NIv2 | zs_opt | 1 | train |
Detailed Instructions: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Pr... | putting myself before my friend | task500_scruples_anecdotes_title_generation | NIv2 | zs_opt | 8 | train |
instruction:
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
question:
I ... | refusing to deliver a package that was delivered to us when our neighbor was out
| task500_scruples_anecdotes_title_generation | NIv2 | fs_opt | 9 | train |
Detailed Instructions: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Se... | thinking my partners relationship with her nieces is inappropriate | task500_scruples_anecdotes_title_generation | NIv2 | fs_opt | 4 | train |
Q: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Hey first time posting... | driving around this guy at starbucks | task500_scruples_anecdotes_title_generation | NIv2 | zs_opt | 7 | test |
Detailed Instructions: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Se... | wanting to leave my mentally ill friend | task500_scruples_anecdotes_title_generation | NIv2 | fs_opt | 4 | validation |
Detailed Instructions: In this task you are given data in the tabular format and a question. Write the answer to the question based on the information in the table.
Problem:Table: ['Round', '#', 'Player', 'Nationality', 'College/Junior/Club Team (League)']. ['1', '26', 'Cory Schneider (G)', 'United States', 'Phillips A... | ['United States', 'Sweden', 'Canada', 'United States', 'Canada', 'Canada', 'Denmark'] | task758_msr_sqa_question_answer_generation | NIv2 | zs_opt | 8 | train |
In this task you are given data in the tabular format and a question. Write the answer to the question based on the information in the table.
Table: ['Date', 'Venue', 'Opponent', 'Result', 'Tournament', 'Scored']. ['10 February 2008', 'Craven Park', 'St. Helens', '24-22', 'Super League XIII', '1']. ['24 March 2008', '... | ['10 February 2008', '21 June 2008', '8 March 2009', '15 March 2009', '3 May 2009', '20 June 2009', '5 September 2009', '7 February 2010', '16 May 2010', '21 May 2010', '20 June 2010', '4 July 2010', '24 July 2010', '15 August 2010', '13 February 2011', '20 February 2011', '7 March 2011'] | task758_msr_sqa_question_answer_generation | NIv2 | zs_opt | 0 | train |
Q: In this task you are given data in the tabular format and a question. Write the answer to the question based on the information in the table.
Table: ['Name', 'Street address', 'Years as tallest', 'Height ft (m)', 'Floors']. ['Globe Building', '4th Street South', '1882-1886', '157 (48)', '8']. ['Lumber Exchange Build... | ['157 (48)', '165 (50)', '240 (73)', '258 (79)', '341 (104)', '448 (137)', '792 (241)'] | task758_msr_sqa_question_answer_generation | NIv2 | zs_opt | 7 | train |
Teacher:In this task you are given data in the tabular format and a question. Write the answer to the question based on the information in the table.
Teacher: Now, understand the problem? Solve this instance: Table: ['Date', 'Round', 'Opponents', 'H / A', 'Result F-A', 'Scorers', 'Attendance']. ['19 September 1984', 'R... | ['28 November 1984'] | task758_msr_sqa_question_answer_generation | NIv2 | zs_opt | 6 | train |
In this task you are given data in the tabular format and a question. Write the answer to the question based on the information in the table.
Table: ['Name', 'Profession', 'Hometown', 'Term Expires', 'Office']. ['Bill W. Burgess Jr.', 'Attorney', 'Lawton', '2011', '']. ['Ronald H. White, M.D.', 'Medical Doctor', 'Okla... | ['Washington', 'Penn State', 'SMU', 'Alabama', 'Arizona', 'UCLA', 'Washington State', 'Michigan State', 'Syracuse', 'Georgia Tech', 'Kansas', 'Colorado', 'Boston College', 'Kansas', 'Navy', 'Washington', 'Colorado', 'Wake Forest', 'Boston College']
| task758_msr_sqa_question_answer_generation | NIv2 | fs_opt | 0 | train |
Q: In this task you are given data in the tabular format and a question. Write the answer to the question based on the information in the table.
Table: ['Year', 'Domestic passengers', 'International passengers', 'Total passengers', 'Change']. ['2006', '764,831', '83,115', '847,946', '+4.6%']. ['2007', '764,674', '75,27... | ['2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013'] | task758_msr_sqa_question_answer_generation | NIv2 | zs_opt | 7 | train |
Teacher:In this task you are given data in the tabular format and a question. Write the answer to the question based on the information in the table.
Teacher: Now, understand the problem? Solve this instance: Table: ['Name', 'Position', 'Length [km]', 'Drainage basin area [km2]', 'Confluence [by Lahn-km]', 'Mouth eleva... | ['Feudinge (Ruppersbach)', 'Ilse', 'Banfe', 'Laasphe', 'Perf', 'Dautphe', 'Wetschaft', 'Ohm', 'Allna', 'Zwester Ohm', 'Salzbode', 'Lumda', 'Wieseck', 'Bieber', 'Kleebach', 'Wetzbach', 'Dill', 'Solmsbach', 'Iserbach (Mottbach)', 'Ulmbach', 'Kallenbach', 'Weil', 'Kerkerbach', 'Emsbach', 'Elbbach', 'Aar', 'Dorsbach', 'Gel... | task758_msr_sqa_question_answer_generation | NIv2 | zs_opt | 6 | train |
Detailed Instructions: In this task you are given data in the tabular format and a question. Write the answer to the question based on the information in the table.
See one example below:
Problem: Table: ['Pick', 'Player', 'Team', 'Position', 'School']. ['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State... | ['ICS', 'ICS', 'ICS', 'ICS', 'ICS'] | task758_msr_sqa_question_answer_generation | NIv2 | fs_opt | 4 | train |
In this task you are given data in the tabular format and a question. Write the answer to the question based on the information in the table.
One example is below.
Q: Table: ['Pick', 'Player', 'Team', 'Position', 'School']. ['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Ho... | ['Ustilago maydis', 'Saccharomyces cerevisiae', 'Albugo laibachii'] | task758_msr_sqa_question_answer_generation | NIv2 | fs_opt | 9 | test |
TASK DEFINITION: In this task you are given data in the tabular format and a question. Write the answer to the question based on the information in the table.
PROBLEM: Table: ['Rank', 'Nation', 'Gold', 'Silver', 'Bronze', 'Total']. ['1', 'Russia', '6', '3', '7', '16']. ['2', 'United States', '5', '0', '4', '9']. ['3', ... | ['Hallo! Hoe gaan dit?', 'Baie goed, dankie.', 'Praat jy Afrikaans?', 'Praat jy Engels?', 'Ja.', 'Nee.', "'n Bietjie.", 'Wat is jou naam?', 'Die kinders praat Afrikaans.', 'Ek is lief vir jou. Less common: Ek het jou lief.']
| task758_msr_sqa_question_answer_generation | NIv2 | fs_opt | 8 | validation |
Given the task definition and input, reply with output. In this task, given a sentence in the Chinese language, your task is to convert it into the English language.
东部肯塔基大学教授马克·西奥卡博士于星期日告诉WKYT说，现在还不到这些卫星碎片重返地球大气层的时候。
| Doctor Marco Ciocca, a professor at Eastern Kentucky University told WKYT on Sunday that it's too early for the debris from the satellites to be reentering the planet's atmosphere. | task535_alt_translation_ch_en | NIv2 | zs_opt | 5 | train |
Teacher: In this task, given a sentence in the Chinese language, your task is to convert it into the English language.
Teacher: Now, understand the problem? If you are still confused, see the following example:
2004年4月，那里的士兵逮捕了一名16岁的巴勒斯坦人，他身上绑着一枚自杀式炸弹。
Solution: In April 2004, soldiers there arrested a 16-year-old, als... | Before the signing of the agreement, China allowed only students and people on business trips to visit the country. | task535_alt_translation_ch_en | NIv2 | fs_opt | 2 | train |
Detailed Instructions: In this task, given a sentence in the Chinese language, your task is to convert it into the English language.
Q: 巴蒂报道说，《先生和太太》（Mr.and Mrs.）和《看谁在说话》最初都是地区性节目，后来在ITV网络上播出。
A: | Both Mr. and Mrs. and Look Who's Talking were originally regional programmes and were later broadcast across the ITV Network, Batey reported. | task535_alt_translation_ch_en | NIv2 | zs_opt | 9 | train |
Detailed Instructions: In this task, given a sentence in the Chinese language, your task is to convert it into the English language.
Problem:据报道，津汗在剧院时把两个最小的孩子留在车里，然后离开去把他们送到了邻居罗伯特·科文顿家。
Solution: | Zinkhan is reported to have left his two youngest children in the car while at theater, and then left to drop them off at the home of his his neighbor Robert Covington. | task535_alt_translation_ch_en | NIv2 | zs_opt | 8 | train |
Teacher: In this task, given a sentence in the Chinese language, your task is to convert it into the English language.
Teacher: Now, understand the problem? If you are still confused, see the following example:
2004年4月，那里的士兵逮捕了一名16岁的巴勒斯坦人，他身上绑着一枚自杀式炸弹。
Solution: In April 2004, soldiers there arrested a 16-year-old, als... | JetBlue's service in Raleigh is comprised of four daily flights to New York, the airline's hub. | task535_alt_translation_ch_en | NIv2 | fs_opt | 2 | train |
Given the task definition and input, reply with output. In this task, given a sentence in the Chinese language, your task is to convert it into the English language.
这是在摩根·茨万吉拉伊的民主变革运动（MDC）赢得议会投票后的第一次演讲。
| This is his first speech after the recent disputed elections in which Morgan Tsvangirai's Movement for Democratic Change (MDC) won the parliamentary voting. | task535_alt_translation_ch_en | NIv2 | zs_opt | 5 | train |
In this task, given a sentence in the Chinese language, your task is to convert it into the English language.
他在一架波音737的轮舱里飞行了1300公里，并且活了下来。
He flew a distance of 1,300 kilometres in a wheel well of a Boeing 737 and lived.
该组织承认去年7月杀害一名传教士。
It has taken responsibility for the killing of a missionary in July of last y... | "Often I'll hear someone say something like, 'Oh and be careful when you meet him--he's French," the source said.
| task535_alt_translation_ch_en | NIv2 | fs_opt | 0 | train |
In this task, given a sentence in the Chinese language, your task is to convert it into the English language.
Example input: 2004年4月，那里的士兵逮捕了一名16岁的巴勒斯坦人，他身上绑着一枚自杀式炸弹。
Example output: In April 2004, soldiers there arrested a 16-year-old, also Palestinian, with a suicide bomb strapped to his body.
Example explanation: T... | The participating nations, with the exception of Germany, have veto powers in the UN Security Council. | task535_alt_translation_ch_en | NIv2 | fs_opt | 3 | train |
In this task, given a sentence in the Chinese language, your task is to convert it into the English language.
Example input: 2004年4月，那里的士兵逮捕了一名16岁的巴勒斯坦人，他身上绑着一枚自杀式炸弹。
Example output: In April 2004, soldiers there arrested a 16-year-old, also Palestinian, with a suicide bomb strapped to his body.
Example explanation: T... | "We didn't know it was this week, but we knew it was coming at some point." | task535_alt_translation_ch_en | NIv2 | fs_opt | 3 | test |
In this task, given a sentence in the Chinese language, your task is to convert it into the English language.
事故发生的时间大约是格林威治时间20：55，当时正以接近100英里时速行驶的220/221次列车撞上了停在轨道上的这辆汽车。
The accident took place at approximately 20:55 GMT when the Class 220/221 train, travelling at close to 100mph, hit the car which was on the track... | Wikipedia describes Temasek as, "the investment arm of the Singapore government."
| task535_alt_translation_ch_en | NIv2 | fs_opt | 0 | validation |
[Q]: The driver got pulled over by the police.
What is the cause?
OPTIONS:
- He was parking.
- He was speeding.
[A]: He was speeding.
[Q]: I pushed the pendulum.
effect:
OPTIONS:
- It slowed to a stop.
- It swung back and forth.
[A]: It swung back and forth.
[Q]: effect?
The boy found the television show boring.
... | The wave carried her to the shore. | super_glue_copa_1_0_2 | Flan2021 | fs_opt | 4 | train |
Write a sentence. | Cars moved to the shoulder of the road. | super_glue_copa_1_0_2 | Flan2021 | zs_noopt | 8 | train |
Answer the following question about this sentence:
The girl stared at herself in the mirror.
What is the cause? | She felt self-conscious. | super_glue_copa_1_0_2 | Flan2021 | zs_noopt | 7 | train |
question: Write two sentences.
answer: The soap foamed. I rubbed the soap between my hands.
question: Write two sentences.
answer: The faucet was leaky. The woman repaired her faucet.
question: Write two sentences.
answer: | It detected a predator. The turtle hid in its shell. | super_glue_copa_1_0_2 | Flan2021 | fs_noopt | 1 | train |
The teenager ran away from home.
cause:
I. He relied on his parents.;
II. His parents abused him.; | II. | super_glue_copa_1_0_2 | Flan2021 | zs_opt | 5 | train |
Write two sentences. | I leapt over the puddle. I came upon a puddle on the sidewalk. | super_glue_copa_1_0_2 | Flan2021 | zs_noopt | 9 | train |
QUES:
The man slid the razor across his chin.
What is a plausible effect?
OPTIONS:
- His stubble grew.
- His stubble disappeared.
ANS:
His stubble disappeared.
Question: The mirror in the bathroom fogged up. What is the effect? OPTIONS:
- The girl turned on the fan.
- The girl applied her makeup.
Answer: The girl t... | She sent the children to daycare. | super_glue_copa_1_0_2 | Flan2021 | fs_opt | 1 | train |
Question: My knees buckled on the stairs. What is the effect?
Answer: I caught myself on the railing.
Question: I lingered in bed upon awakening. What is the cause?
Answer: It was Saturday.
Question: The chair squeaked. What is the cause?
Answer: The man scooted the chair closer to his desk.
Question: The woma... | She left it unsupervised. | super_glue_copa_1_0_2 | Flan2021 | fs_noopt | 2 | train |
[Q]: cause?
The man craved a cigarette.
OPTIONS:
- His family urged him to quit smoking.
- He was addicted to nicotine.
****
[A]: He was addicted to nicotine.
QUES:
My body cast a shadow over the grass.
What is a plausible cause?
OPTIONS:
- The sun was rising.
- The grass was cut.
ANS:
The sun was rising.
Question... | She won a spelling bee. | super_glue_copa_1_0_2 | Flan2021 | fs_opt | 2 | test |
Q: Write a sentence.
A: The milk stayed cold.
Q: Write a sentence.
A: The company's profits started to level off.
Q: Write a sentence.
A: I ran the ice cube under warm water.
Q: Write a sentence.
| A: The man hated his new haircut. | super_glue_copa_1_0_2 | Flan2021 | fs_noopt | 0 | validation |
Given the task definition and input, reply with output. In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Comment: Oh y... | Non-sexual-explicit | task323_jigsaw_classification_sexually_explicit | NIv2 | zs_opt | 5 | train |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Q: Comment: A well articulated opinion. Sadly, ... | Non-sexual-explicit | task323_jigsaw_classification_sexually_explicit | NIv2 | zs_opt | 9 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual ma... | Non-sexual-explicit | task323_jigsaw_classification_sexually_explicit | NIv2 | fs_opt | 1 | train |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Let me give you an example: Comment: President lied under oath about ... | Sexual-explicit | task323_jigsaw_classification_sexually_explicit | NIv2 | fs_opt | 8 | train |
Given the task definition and input, reply with output. In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Comment: Kick... | Sexual-explicit | task323_jigsaw_classification_sexually_explicit | NIv2 | zs_opt | 5 | train |
Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Input: Comment: troll much? holy christ, the stars manag... | Sexual-explicit | task323_jigsaw_classification_sexually_explicit | NIv2 | zs_opt | 3 | train |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Q: Comment: Hey Boogey.... if you troll the int... | Non-sexual-explicit | task323_jigsaw_classification_sexually_explicit | NIv2 | zs_opt | 9 | train |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
[Q]: Comment: Frank, thanks for your heart felt comment, I suppose hi... | Non-sexual-explicit
| task323_jigsaw_classification_sexually_explicit | NIv2 | fs_opt | 5 | train |
Teacher:In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Teacher: Now, understand the problem? Solve this instance: Com... | Non-sexual-explicit | task323_jigsaw_classification_sexually_explicit | NIv2 | zs_opt | 6 | 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.
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-... | Non-sexual-explicit | task323_jigsaw_classification_sexually_explicit | NIv2 | fs_opt | 0 | validation |
"Margarita Ostolaza", given a list of categories: company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, what category does the title belong to?
The answer to this question is: | Office Holder | dbpedia_14_given_a_list_of_category_what_does_the_title_belong_to | P3 | zs_opt | 7 | train |
"SIMPLE Group", given a list of categories: company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, what category does the title belong to?
A: | Company | dbpedia_14_given_a_list_of_category_what_does_the_title_belong_to | P3 | zs_noopt | 2 | train |
Please answer the following question: "Brendan Perry", given a list of categories: company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, what category does the title belong to?
A: | Artist | dbpedia_14_given_a_list_of_category_what_does_the_title_belong_to | P3 | zs_opt | 8 | train |
"Barts and The London School of Medicine and Dentistry", given a list of categories: company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, what category does the title belong to?
The answer to this question... | Educational Institution | dbpedia_14_given_a_list_of_category_what_does_the_title_belong_to | P3 | zs_noopt | 7 | train |
Please answer the following question: "Plymouth High School (North Carolina)", given a list of categories: company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, what category does the title belong to?
Answe... | Educational Institution | dbpedia_14_given_a_list_of_category_what_does_the_title_belong_to | P3 | zs_noopt | 9 | train |
Given the question: "Aulopopsis", given a list of categories: company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, what category does the title belong to?
The answer is: | Animal | dbpedia_14_given_a_list_of_category_what_does_the_title_belong_to | P3 | zs_noopt | 6 | train |
Question: "Sobiałkowo", given a list of categories: company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, what category does the title belong to?
Answer: | Village | dbpedia_14_given_a_list_of_category_what_does_the_title_belong_to | P3 | zs_opt | 4 | train |
Given the question: "Here Come the 123s", given a list of categories: company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, what category does the title belong to?
The answer is: | Album | dbpedia_14_given_a_list_of_category_what_does_the_title_belong_to | P3 | zs_noopt | 6 | train |
Please answer the following question: "Galápagos Mockingbird", given a list of categories: company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, what category does the title belong to?
Answer: | Animal | dbpedia_14_given_a_list_of_category_what_does_the_title_belong_to | P3 | zs_opt | 9 | test |
Given the question: "James Brown (Louisiana)", given a list of categories: company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, what category does the title belong to?
The answer is: | Office Holder | dbpedia_14_given_a_list_of_category_what_does_the_title_belong_to | P3 | zs_opt | 6 | validation |
A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
[EX Q]: એક વિશાળ જાહેર સભા ખાતે પ્રધાનમંત્રીએ આધુનિક અને વિસ્તૃતીકરણ પામેલો ભિલાઈ સ્ટીલ પ્લાન્ટ દેશને સમર્પિત કર્યો હતો.
[EX A]: प्रधानमंत्री ने एक विशा... | एमएसएमई के लिए ण तक आसान पहुंच सुनिश्चित करने के लिए 59 मिनट का लोन पोर्टल
| task1033_pib_translation_gujarati_hindi | NIv2 | fs_opt | 6 | train |
Definition: A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
Input: પ્રધાનમંત્રીએ આસામના મુખ્યમંત્રી સાથે રાજ્યમાં પૂરની સ્થિતિના સંબંધમાં વાત કરી
Output: | प्रधानमंत्री ने असम के मुख्यमंत्री से राज्य में आई बाढ़ की स्थिति पर बात की | task1033_pib_translation_gujarati_hindi | NIv2 | zs_opt | 2 | train |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
Problem:તેમણે કહ્યું હતું કે, જ્યાં સુધી વ્યક્તિ કુંભ મેળાની મુલાકાત ન લે, ત્યાં સુધી એ સંપૂર્ણપણે કુંભ મેળો ભારતનો શ્રેષ્ઠ સાંસ્ક... | उन्होंने कहा कि जबतक वास्तव में कोई कुंभ मेला नहीं जाता वह इसकी पूरी तरह सराहना नहीं कर सकता कि यह कितनी बड़ी विरासत है। | task1033_pib_translation_gujarati_hindi | NIv2 | zs_opt | 8 | train |
Definition: A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
Input: આપણા સામૂહિક પ્રયાસોનું જ પરિણામ છે કે આપણા દેશની Ease of Doing Business Ranking માં અભૂતપૂર્વ સુધારો થયો છે.
Output: | हमारे सामूहिक प्रयासों का ही नतीजा है कि हमारे देश की ease o doing business rankingमें अभूतपूर्व सुधार हुआ है। | task1033_pib_translation_gujarati_hindi | NIv2 | zs_opt | 2 | train |
A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
Example input: તેમણે કહ્યું કે ભિલાઈ સ્ટીલ પ્લાન્ટે દેશના નિર્માણમાં સિંહફાળો આપ્યો છે
Example output: उन्होंने कहा कि भाई इस्पात संयंत्र ने देश के निर्... | उन्होंने अधिकारियों से कहा कि इस वर्ष गांधी जयंती के सप्ताह भ पहले से अपने प्रयासों में और तेजी लाएं। | task1033_pib_translation_gujarati_hindi | NIv2 | fs_opt | 3 | train |
A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
[Q]: પોતાના સંબોધનમાં તેમણે જણાવ્યું હતું કે, પ્રધાનમંત્રી ટાસ્ક ફોર્સના વર્ષ ૨૦૧૦ના રીપોર્ટમાં નોંધવામાં આવ્યુ છે કે, MSME નું મહત્પુર્ણ પ્રદાન હોવા છત... | यहां Traic से लेकर Sewage तक, Smart व्यवस्थाएं तैयार हो रही हैं।
| task1033_pib_translation_gujarati_hindi | NIv2 | fs_opt | 5 | train |
A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
Example Input: તેમણે કહ્યું કે જન સુવિધા કેન્દ્રો (સીએસસી)ના વિસ્તૃતિકરણના માધ્યમથી આ લક્ષ્યને પ્રાપ્ત કરવામાં આવશે.
Example Output: उन्होंने कहा कि जन ... | इस समझौता पर एक नवम्बर, 2018 को हस्ताक्षर किए गए थे।
| task1033_pib_translation_gujarati_hindi | NIv2 | fs_opt | 3 | train |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
Q: જેડબલ્યુજીનું ક્ષેત્ર અને કાર્ય મર્યાદાઓ:
A: | जेडब्ल्यूजी का क्षेत्र और कार्य सीमाएं: | task1033_pib_translation_gujarati_hindi | NIv2 | zs_opt | 9 | train |
Definition: A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
Input: ઉડાન યોજનાના અંતર્ગત લોકોને 12 લાખ સીટો ઓછી કિંમતે ઉપલબ્ધ થઈ છે. તેના લીધે આજે સાધારણ પરિવારની વ્યક્તિને પણ વિમાનમાં ઉડવાની તક મળી રહી... | पर्यावरण को ध्यान में रखते हुए, मेरी सरकार इलेक्ट्रिक मोबिलिटी की तरफ भी आगे बढ़ रही है। | task1033_pib_translation_gujarati_hindi | NIv2 | zs_opt | 2 | test |
A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
[EX Q]: પ્રધાનમંત્રીએ જણાવ્યું કે રાજ્યોના મુખ્યમંત્રીઓએ પેટા જૂથો અને સ્વચ્છ ભારત અભિયાન, ડિજિટલ લેવડ-દેવડ અને કૌશલ્ય વિકાસ જેવા મુદ્દાઓ અંગેની સમિતિઓન... | प्रधानमंत्री श्री नरेन्द्र मोदी की अध्यक्षता में केंद्रीय मंत्रिमंडल ने शांतिपूर्ण उद्देश्यों के लिए बाह्य अंतरिक्ष के अन्वेषण और उपयोग में सहयेाग के बारे में भारत और ट्यूनीशिया के बीच समझौता ज्ञापन को कार्योत्तर मंजूरी दी है।
| task1033_pib_translation_gujarati_hindi | NIv2 | fs_opt | 6 | validation |
Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
One example: Passage: Martin Luther married Katharina von Bora, one of 12 nuns he had helped escape from the Nimbschen Cistercian convent in April 152... | War | task1608_xquad_en_answer_generation | NIv2 | fs_opt | 6 | train |
Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Example: Passage: Martin Luther married Katharina von Bora, one of 12 nuns he had helped escape from the Nimbschen Cistercian convent in April 1523, w... | Solution: 11 | task1608_xquad_en_answer_generation | NIv2 | fs_opt | 5 | train |
Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
One example: Passage: Martin Luther married Katharina von Bora, one of 12 nuns he had helped escape from the Nimbschen Cistercian convent in April 152... | 110 mph | task1608_xquad_en_answer_generation | NIv2 | fs_opt | 6 | train |
Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
--------
Question: Passage: In 2010 the Amazon rainforest experienced another severe drought, in some ways more extreme than the 2005 drought. The aff... | Doctor Who and the Daleks in the Seven Keys to Doomsday
| task1608_xquad_en_answer_generation | NIv2 | fs_opt | 7 | train |
Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Example Input: Passage: After an unmanned LM test flight AS-206, a crew would fly the first Block II CSM and LM in a dual mission known as AS-207/208... | Ethernet attached hosts, and eventually TCP/IP and additional public universities in Michigan join the network
| task1608_xquad_en_answer_generation | NIv2 | fs_opt | 3 | train |
Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Q: Passage: Jacksonville is the largest city by population in the U.S. state of Florida, and the largest city by area in the contiguous United States.... | 1,345,596 | task1608_xquad_en_answer_generation | NIv2 | zs_opt | 4 | train |
Instructions: Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Input: Passage: Their local rivals, Polonia Warsaw, have significantly fewer supporters, yet they managed to win Ekstraklasa Championshi... | disastrous financial situation | task1608_xquad_en_answer_generation | NIv2 | zs_opt | 3 | train |
Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Q: Passage: Paleoclimatologists measure the ratio of oxygen-18 and oxygen-16 in the shells and skeletons of marine organisms to determine what the cli... | oxygen-18 | task1608_xquad_en_answer_generation | NIv2 | zs_opt | 4 | train |
Instructions: Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Input: Passage: In 1998, the network began using a minimalist graphical identity, designed by Pittard Sullivan, featuring a small black-... | ABC on Demand | task1608_xquad_en_answer_generation | NIv2 | zs_opt | 3 | test |
Instructions: Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Input: Passage: In past times, corporal punishment (spanking or paddling or caning or strapping or birching the student in order to caus... | one of the most common | task1608_xquad_en_answer_generation | NIv2 | zs_opt | 3 | validation |
Part 1. Definition
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Part 2. Example
Sentence: xname is a high-priced 3 star restaurant... | eattype[coffee shop], familyFriendly[yes], location[city centre] | task1597_nyc_slot_filling | NIv2 | fs_opt | 7 | train |
Definition: You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Input: Sentence: I would suggest xname since it is a Spanish place and ve... | qual[good], recommend[yes], service[good] | task1597_nyc_slot_filling | NIv2 | zs_opt | 2 | train |
instruction:
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
question:
Sentence: xname Pub is kid-friendly with moderate price range.... | cuisine[Italian], price[moderate], familyFriendly[yes]
| task1597_nyc_slot_filling | NIv2 | fs_opt | 9 | train |
Instructions: You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Input: Sentence: I would suggest xname because xname provides mediocre ... | qual[bad], location[Manhattan], service[bad] | task1597_nyc_slot_filling | NIv2 | zs_opt | 3 | train |
Instructions: You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Input: Sentence: Because xname is affordable and a Vietnamese place wit... | recommend[yes], qual[good], cuisine[Vietnamese] | task1597_nyc_slot_filling | NIv2 | zs_opt | 3 | train |
Part 1. Definition
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Part 2. Example
Sentence: xname is a high-priced 3 star restaurant... | rating[low], location[city centre], cuisine[Italian] | task1597_nyc_slot_filling | NIv2 | fs_opt | 7 | train |
Detailed Instructions: You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Q: Sentence: I would consider xname since it has good food and... | recommend[yes], qual[good], service[acceptable] | task1597_nyc_slot_filling | NIv2 | zs_opt | 9 | train |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Example: Sentence: xname is a high-priced 3 star restaurant which offers wines and ch... | Solution: cuisine[French], rating[high], price[£20-25] | task1597_nyc_slot_filling | NIv2 | fs_opt | 5 | train |
Part 1. Definition
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Part 2. Example
Sentence: xname is a high-priced 3 star restaurant... | cuisine[Japanese], eattype[pub], location[city centre] | task1597_nyc_slot_filling | NIv2 | fs_opt | 7 | test |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Q: Sentence: I imagine you would love xname because it's cheap and a Vietnamese resta... | qual[good], price[cheap], recommend[yes] | task1597_nyc_slot_filling | NIv2 | zs_opt | 4 | validation |
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