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Given the task definition and input, reply with output. Given a sentence in Spanish, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
En cambio, podrían haber sido parientes, quizás miembros de una familia unida por sangre para ser... | 彼らは代わりに親戚、おそらくドラキュラに奉仕するために血でつながれた家族の一員かもしれません。 | task800_pawsx_spanish_japanese_translation | NIv2 | zs_opt | 5 | train |
Detailed Instructions: Given a sentence in Spanish, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Q: De acuerdo con la Oficina del Censo de los Estados Unidos, la ciudad es una superficie total de la cual tiene tierra y, o 1.35%,... | アメリカ合衆国国勢調査局によると、この町の総面積は陸地であり、1.35％は水です。 | task800_pawsx_spanish_japanese_translation | NIv2 | zs_opt | 9 | train |
Teacher:Given a sentence in Spanish, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? Solve this instance: Los conjugados isodinámicos de los puntos Fermat son los puntos isogonales y viceversa.... | フェルマー点の等力学的共役は等角点であり、その逆も成り立ちます。 | task800_pawsx_spanish_japanese_translation | NIv2 | zs_opt | 6 | train |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Spanish, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
North Downs Way cruza el viaducto de Medway en el extremo este de Medway Val... | North Downs Wayは、メドウェイバレーウォークの東端にあるメドウェイ高架橋またはアウトバーン橋を渡ります。 | task800_pawsx_spanish_japanese_translation | NIv2 | zs_opt | 1 | train |
Given the task definition, example input & output, solve the new input case.
Given a sentence in Spanish, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Example: La temporada de la NBA de 1975: 76 fue la 30ª temporada de la Nation... | 彼の現在の研究は、イスラムの源泉に対するユダヤ人の考えや物語の影響を探っています。 | task800_pawsx_spanish_japanese_translation | NIv2 | fs_opt | 1 | train |
Given a sentence in Spanish, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Let me give you an example: La temporada de la NBA de 1975: 76 fue la 30ª temporada de la National Basketball Association.
The answer to this example can... | Patrick LoganがWisteria Laneに到着すると、彼はNickを倒します。 | task800_pawsx_spanish_japanese_translation | NIv2 | fs_opt | 8 | train |
Given a sentence in Spanish, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
One example is below.
Q: La temporada de la NBA de 1975: 76 fue la 30ª temporada de la National Basketball Association.
A: 1975 - 76年の全米バスケットボール協会のシーズンは... | ヴェルダー軍はベルフォールに投資し11月3日に街に到着した。 | task800_pawsx_spanish_japanese_translation | NIv2 | fs_opt | 9 | train |
Given a sentence in Spanish, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
One example: La temporada de la NBA de 1975: 76 fue la 30ª temporada de la National Basketball Association.
Solution is here: 1975 - 76年の全米バスケットボール協会のシー... | スイス系のガリシア出身のアーミッシュ・メノナイトは、1815年にドゥブノ近くに定住しました。 | task800_pawsx_spanish_japanese_translation | NIv2 | fs_opt | 6 | train |
Given a sentence in Spanish, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Ex Input:
El miembro independiente John Archibald Maharg se desempeñó como líder de la oposición en 1923 y Harris Turner, también independiente, se desem... | Chicago Public Schoolは、イリノイ州シカゴの北側にあるDeWitt Clinton Schoolです。
| task800_pawsx_spanish_japanese_translation | NIv2 | fs_opt | 1 | test |
Teacher:Given a sentence in Spanish, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? Solve this instance: Los amonios menonitas de origen suizo de Galicia se establecieron cerca de Dubno en 181... | スイス系のガリシア出身のアーミッシュ・メノナイトは、1815年にドゥブノ近くに定住しました。 | task800_pawsx_spanish_japanese_translation | NIv2 | zs_opt | 6 | validation |
Detailed Instructions: In this task, we ask you to write a question that asks about "event duration", based on a given sentence. The question will likely start with "How long". Your question should be answerable based on the common knowledge of how long certain events usually last. Don't create questions which have exp... | How long did Powell take to travel to Malaysia to meet the Prime Minister? | task003_mctaco_question_generation_event_duration | NIv2 | zs_opt | 9 | train |
Teacher:In this task, we ask you to write a question that asks about "event duration", based on a given sentence. The question will likely start with "How long". Your question should be answerable based on the common knowledge of how long certain events usually last. Don't create questions which have explicit mentions ... | How long did it take for him to be born? | task003_mctaco_question_generation_event_duration | NIv2 | zs_opt | 6 | train |
Teacher: In this task, we ask you to write a question that asks about "event duration", based on a given sentence. The question will likely start with "How long". Your question should be answerable based on the common knowledge of how long certain events usually last. Don't create questions which have explicit mentions... | How long did it take to come to the agreement? | task003_mctaco_question_generation_event_duration | NIv2 | fs_opt | 2 | train |
Q: In this task, we ask you to write a question that asks about "event duration", based on a given sentence. The question will likely start with "How long". Your question should be answerable based on the common knowledge of how long certain events usually last. Don't create questions which have explicit mentions of an... | How long did the Portuguese explore? | task003_mctaco_question_generation_event_duration | NIv2 | zs_opt | 7 | train |
In this task, we ask you to write a question that asks about "event duration", based on a given sentence. The question will likely start with "How long". Your question should be answerable based on the common knowledge of how long certain events usually last. Don't create questions which have explicit mentions of answe... | Output: How long did it take for the Pope to invoke the anti-feminist tradition?
| task003_mctaco_question_generation_event_duration | NIv2 | fs_opt | 2 | train |
In this task, we ask you to write a question that asks about "event duration", based on a given sentence. The question will likely start with "How long". Your question should be answerable based on the common knowledge of how long certain events usually last. Don't create questions which have explicit mentions of answe... | How long did the artist take to paint the picture?
| task003_mctaco_question_generation_event_duration | NIv2 | fs_opt | 5 | train |
Teacher:In this task, we ask you to write a question that asks about "event duration", based on a given sentence. The question will likely start with "How long". Your question should be answerable based on the common knowledge of how long certain events usually last. Don't create questions which have explicit mentions ... | How many years did Mzoudi spend studying ? | task003_mctaco_question_generation_event_duration | NIv2 | zs_opt | 6 | train |
Q: In this task, we ask you to write a question that asks about "event duration", based on a given sentence. The question will likely start with "How long". Your question should be answerable based on the common knowledge of how long certain events usually last. Don't create questions which have explicit mentions of an... | How long did it take to get to Memphis? | task003_mctaco_question_generation_event_duration | NIv2 | zs_opt | 7 | train |
In this task, we ask you to write a question that asks about "event duration", based on a given sentence. The question will likely start with "How long". Your question should be answerable based on the common knowledge of how long certain events usually last. Don't create questions which have explicit mentions of answe... | How long did it take her to spell the word? | task003_mctaco_question_generation_event_duration | NIv2 | zs_opt | 0 | test |
Instructions: In this task, we ask you to write a question that asks about "event duration", based on a given sentence. The question will likely start with "How long". Your question should be answerable based on the common knowledge of how long certain events usually last. Don't create questions which have explicit men... | How long did the meeting last? | task003_mctaco_question_generation_event_duration | NIv2 | zs_opt | 3 | validation |
instruction:
In this task, you are given an adjective, and your job is to generate its antonym. An antonym of a word is a word opposite in meaning to it.
question:
garden
answer:
house
question:
marry
answer:
divorce
question:
kind
answer:
| unkind
| task1509_evalution_antonyms | NIv2 | fs_opt | 9 | train |
In this task, you are given an adjective, and your job is to generate its antonym. An antonym of a word is a word opposite in meaning to it.
--------
Question: unhappy
Answer: happy
Question: cold
Answer: warm
Question: hop
Answer: | jump
| task1509_evalution_antonyms | NIv2 | fs_opt | 7 | train |
Detailed Instructions: In this task, you are given an adjective, and your job is to generate its antonym. An antonym of a word is a word opposite in meaning to it.
Q: movie
A: | play | task1509_evalution_antonyms | NIv2 | zs_opt | 9 | train |
Q: In this task, you are given an adjective, and your job is to generate its antonym. An antonym of a word is a word opposite in meaning to it.
shy
A: | bold | task1509_evalution_antonyms | NIv2 | zs_opt | 7 | train |
In this task, you are given an adjective, and your job is to generate its antonym. An antonym of a word is a word opposite in meaning to it.
Q: loud
A: | soft | task1509_evalution_antonyms | NIv2 | zs_opt | 4 | train |
Part 1. Definition
In this task, you are given an adjective, and your job is to generate its antonym. An antonym of a word is a word opposite in meaning to it.
Part 2. Example
accident
Answer: purpose
Explanation: An accident is unintentional, while purpose involves intention. So the two words have opposite meaning and... | personal | task1509_evalution_antonyms | NIv2 | fs_opt | 7 | train |
In this task, you are given an adjective, and your job is to generate its antonym. An antonym of a word is a word opposite in meaning to it.
christian | pagan | task1509_evalution_antonyms | NIv2 | zs_opt | 0 | train |
In this task, you are given an adjective, and your job is to generate its antonym. An antonym of a word is a word opposite in meaning to it.
Q: grow
A: small
****
Q: belief
A: fact
****
Q: miss
A: | strike
****
| task1509_evalution_antonyms | NIv2 | fs_opt | 4 | train |
Given the task definition and input, reply with output. In this task, you are given an adjective, and your job is to generate its antonym. An antonym of a word is a word opposite in meaning to it.
interest
| boredom | task1509_evalution_antonyms | NIv2 | zs_opt | 5 | test |
Instructions: In this task, you are given an adjective, and your job is to generate its antonym. An antonym of a word is a word opposite in meaning to it.
Input: dull
Output: | sharp | task1509_evalution_antonyms | NIv2 | zs_opt | 3 | validation |
Teacher: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have ... | No | task1210_atomic_classification_madeupof | NIv2 | fs_opt | 2 | train |
Q: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to det... | No | task1210_atomic_classification_madeupof | NIv2 | zs_opt | 7 | train |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
****
| task1210_atomic_classification_madeupof | NIv2 | fs_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.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been re... | Yes | task1210_atomic_classification_madeupof | NIv2 | fs_opt | 0 | train |
Q: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to det... | No | task1210_atomic_classification_madeupof | NIv2 | zs_opt | 7 | train |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | No | task1210_atomic_classification_madeupof | NIv2 | zs_opt | 9 | train |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | task1210_atomic_classification_madeupof | NIv2 | zs_opt | 0 | train |
Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). Person... | No | task1210_atomic_classification_madeupof | NIv2 | zs_opt | 5 | train |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes | task1210_atomic_classification_madeupof | NIv2 | fs_opt | 9 | test |
Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). Person... | Yes | task1210_atomic_classification_madeupof | NIv2 | zs_opt | 5 | validation |
You will be given a definition of a task first, then some input of the task.
You are given a mathematical question described with an open-ended vocabulary. Questions in this task involve real-world situations, describing a mathematical problem. You are also given 4 or 5 answer options (associated with "A", "B", "C", "D... | A | task118_semeval_2019_task10_open_vocabulary_mathematical_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.
You are given a mathematical question described with an open-ended vocabulary. Questions in this task involve real-world situations, describing a mathematical problem. You are also given 4 or 5 answe... | C | task118_semeval_2019_task10_open_vocabulary_mathematical_answer_generation | NIv2 | fs_opt | 0 | train |
You are given a mathematical question described with an open-ended vocabulary. Questions in this task involve real-world situations, describing a mathematical problem. You are also given 4 or 5 answer options (associated with "A", "B", "C", "D", "E"). Do not generate anything else apart from one of the following charac... | A
| task118_semeval_2019_task10_open_vocabulary_mathematical_answer_generation | NIv2 | fs_opt | 3 | train |
Part 1. Definition
You are given a mathematical question described with an open-ended vocabulary. Questions in this task involve real-world situations, describing a mathematical problem. You are also given 4 or 5 answer options (associated with "A", "B", "C", "D", "E"). Do not generate anything else apart from one of t... | E | task118_semeval_2019_task10_open_vocabulary_mathematical_answer_generation | NIv2 | fs_opt | 7 | train |
You are given a mathematical question described with an open-ended vocabulary. Questions in this task involve real-world situations, describing a mathematical problem. You are also given 4 or 5 answer options (associated with "A", "B", "C", "D", "E"). Do not generate anything else apart from one of the following charac... | D | task118_semeval_2019_task10_open_vocabulary_mathematical_answer_generation | NIv2 | fs_opt | 3 | train |
You are given a mathematical question described with an open-ended vocabulary. Questions in this task involve real-world situations, describing a mathematical problem. You are also given 4 or 5 answer options (associated with "A", "B", "C", "D", "E"). Do not generate anything else apart from one of the following charac... | C | task118_semeval_2019_task10_open_vocabulary_mathematical_answer_generation | NIv2 | zs_opt | 0 | train |
You are given a mathematical question described with an open-ended vocabulary. Questions in this task involve real-world situations, describing a mathematical problem. You are also given 4 or 5 answer options (associated with "A", "B", "C", "D", "E"). Do not generate anything else apart from one of the following charac... | C | task118_semeval_2019_task10_open_vocabulary_mathematical_answer_generation | NIv2 | fs_opt | 3 | train |
You are given a mathematical question described with an open-ended vocabulary. Questions in this task involve real-world situations, describing a mathematical problem. You are also given 4 or 5 answer options (associated with "A", "B", "C", "D", "E"). Do not generate anything else apart from one of the following charac... | C | task118_semeval_2019_task10_open_vocabulary_mathematical_answer_generation | NIv2 | zs_opt | 0 | train |
Teacher: You are given a mathematical question described with an open-ended vocabulary. Questions in this task involve real-world situations, describing a mathematical problem. You are also given 4 or 5 answer options (associated with "A", "B", "C", "D", "E"). Do not generate anything else apart from one of the followi... | A | task118_semeval_2019_task10_open_vocabulary_mathematical_answer_generation | NIv2 | fs_opt | 2 | test |
You are given a mathematical question described with an open-ended vocabulary. Questions in this task involve real-world situations, describing a mathematical problem. You are also given 4 or 5 answer options (associated with "A", "B", "C", "D", "E"). Do not generate anything else apart from one of the following charac... | Solution: D | task118_semeval_2019_task10_open_vocabulary_mathematical_answer_generation | NIv2 | fs_opt | 5 | validation |
Summarize this article in one sentence.
Last weekend William Hill said it was in talks to merge with Amaya, which owns poker websites Full Tilt and PokerStars, in a potential £4.5bn deal.
But Parvus Asset Management said the merger had "limited strategic logic" and would "destroy shareholder value".
Shares in William ... | Shares in William Hill have risen after the betting company's largest shareholder said it would oppose any merger deal with Canada's Amaya. | huggingface_xsum | Flan2021 | zs_opt | 2 | train |
Summarize this article in one sentence.
Coral Monaghan believes the thief spotted Lola through her glass front door and snatched her on Saturday.
Miss Monaghan said Facebook details were shared 20,000 times and Lola's own page had 6,000 followers.
Lola was returned on Sunday, "no questions asked", said Miss Monaghan.
... | The owner of a Chihuahua stolen in Peterborough says thousands of people sharing details on social media made the dog "infamous" and forced the thief to return it. | huggingface_xsum | Flan2021 | zs_opt | 2 | train |
Article:Leicester East MP Keith Vaz has written to the city council asking it to become the first in the country to run sugar-free canteens.
Mr Vaz said: "I think it is very important people understand that sugar is not good for their health."
Assistant mayor Vi Dempster said there was "always more that can be done" to... | An East Midlands MP wants all schools in Leicester to ban sugar in its meals and vending machines. | huggingface_xsum | Flan2021 | zs_noopt | 7 | train |
Write an article based on this summary:
Part of a £2.8bn project to electrify the Great Western route has been "deferred". | The plan was to fully electrify the route from Cardiff to London by 2018 and the scheme had already been delayed.
It was estimated to cost £874m in 2013, but spending spiralled out of control, causing some MPs to call it "staggering and unacceptable".
Lines affected include major routes to Bristol, Oxford, and Berkshir... | huggingface_xsum | Flan2021 | zs_noopt | 8 | train |
Q: But plans to set up the first link in this chain are in jeopardy, and ethnic relations have soured, after a Slovenian local council stepped in to prevent the first restaurant from opening.
There are Roma-owned or Roma-run restaurants elsewhere in the EU, but the restaurant in Maribor would have been the first to use... | Labour would create an £80m fund to pay for new NHS drugs, First Minister Carwyn Jones has announced. | huggingface_xsum | Flan2021 | fs_opt | 0 | train |
Q: Mariusz Krezolek, 36, was discovered in his cell by guards at about 08:30 GMT on 27 January at Full Sutton prison.
He was given a life sentence in 2013 after being convicted of murdering step-son Daniel Pelka in Coventry.
Daniel's mother, Magdalena Luczak, who was also found guilty of his murder, was found hanged in... | Argentina are out of the automatic qualification places for the World Cup after losing 2-0 to Bolivia hours after captain Lionel Messi was given a four-match ban for abusing an official. | huggingface_xsum | Flan2021 | fs_noopt | 0 | train |
Article:Volunteers have spent months installing 888,246 hand-made poppies - each representing a British and colonial soldier who died during WW1.
It is thought about five million people have visited the artwork entitled Blood-Swept Lands and Seas of Red by ceramic artist Paul Cummins, from Derbyshire.
Berkshire cadet H... | A final ceramic poppy has been "planted" at the Tower of London. | huggingface_xsum | Flan2021 | zs_opt | 7 | train |
Text: In October, 15% of people left Maelor Hospital without being seen- its target is 5% by next March.
It also has a higher risk-adjusted mortality rate than regional neighbours Ysbyty Gwynedd and Glan Clwyd.
The two issues are in a report that will be discussed by Betsi Cadwaladr University Health Board on 8 Decembe... | A member of the Labour Party has warned that he will take legal action against the party over its refusal to stand candidates in Northern Ireland. | huggingface_xsum | Flan2021 | fs_noopt | 1 | train |
Article:The extent of Theresa's May victory over the other two candidates makes her the clear favourite to move into Number 10 in September.
It's important to remember though, the contest moves from Westminster now out to the country for Tory supporters to make their minds up. And the party membership is not in any way... | One vote sometimes changes many things. | huggingface_xsum | Flan2021 | zs_noopt | 7 | test |
22 December 2015 Last updated at 15:09 GMT
Fitted with solar-powered panels, they show how long passengers have to wait for the next buses, as well as route maps and timetables.
Four bus stops have been fitted with the tech so far. Chris Foxx quizzed TfL's head of technology Simon Reed about the innovation.
Sum: Trans... | An Irish parliamentary committee tasked with looking at the impact of Brexit on Ireland has set out a proposal to find a way towards peaceful re-unification. | huggingface_xsum | Flan2021 | fs_noopt | 7 | validation |
Given the task definition and input, reply with output. Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
We have never had a mass shooting on a college campus in Alaska either. So we do not need a law to protect us from a ghost!
| Yes | task1722_civil_comments_threat_classification | NIv2 | zs_opt | 5 | train |
Part 1. Definition
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Part 2. Example
Baloney. You are going to see real action against Herr Trump and his white supremacist agenda.
Answer: Yes
Explanation: The comment suggests threat against Trump and his agen... | Yes | task1722_civil_comments_threat_classification | NIv2 | fs_opt | 7 | train |
Instructions: Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Input: "(It’s a dog. Not a person. Not even close.)"
That's right, and I love my dog more than I love most people. Come to my house and shoot my dog in my front yard and I won't hesitate to prote... | Yes | task1722_civil_comments_threat_classification | NIv2 | zs_opt | 3 | train |
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
--------
Question: If I were a city planner, I'd say your behavior is bordering on criminal. Watching squirrels run after corn cobs ... sounds perverted. ;-)
Answer: No
Question: Bravo state prosecutors. Jo... | Yes
| task1722_civil_comments_threat_classification | NIv2 | fs_opt | 7 | train |
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Ex Input:
I just listed the taxes I know about. Feel free to educate me on "ALL the marijuana related taxes" besides the current 25% about to be reduced to 17%.
We know the Feds don't have an MJ tax; we k... | Yes
| task1722_civil_comments_threat_classification | NIv2 | fs_opt | 1 | train |
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Ex Input:
I laugh every time I think about all the times an obnoxious former pro union step-father used to scream bloody murder how my non-union mother made more money than he did at the same company, and he e... | Yes
| task1722_civil_comments_threat_classification | NIv2 | fs_opt | 1 | train |
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Let me give you an example: Baloney. You are going to see real action against Herr Trump and his white supremacist agenda.
The answer to this example can be: Yes
Here is why: The comment suggests threat again... | Yes | task1722_civil_comments_threat_classification | NIv2 | fs_opt | 8 | train |
Definition: Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Input: Malcolm Xavier: just a short clarification: he was a white man reaching for a gun while saying "you're going to have to shoot me."
Output: | Yes | task1722_civil_comments_threat_classification | NIv2 | zs_opt | 2 | train |
Instructions: Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Input: Sovereign immunity is the state --and its employees--get out of jail free card. It should be done away with.
Output: | Yes | task1722_civil_comments_threat_classification | NIv2 | zs_opt | 3 | test |
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Input: Consider Input: Translation: "Old white folks deserve 'freebies', but Jesus will curse us if we give 'em to struggling black and brown families."
Output: No
Input: Consider Input: Are you kidding me ... | Output: No
| task1722_civil_comments_threat_classification | NIv2 | fs_opt | 2 | validation |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
--------
Question: Relationship: 'be daughter of', Argument/Subject 1: 'persephone', Argument/Subject 2: 'zeus'
Answer: Persephone was the daughter of Demeter and Zeus .
Ques... | The efforts of translating the Bible from its original languages of Greek and Hebrew into English can be traced back to the end of the 7th century , however it was not until the fourteenth century that a complete translation was finished .
| task677_ollie_sentence_answer_generation | NIv2 | fs_opt | 7 | train |
Given the task definition, example input & output, solve the new input case.
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Example: Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it'
Output: The ... | Text : NEW YORK : Tata Group chairman Ratan Tata has gifted $ 50 million to Cornell University , his alma mater here , ... | task677_ollie_sentence_answer_generation | NIv2 | fs_opt | 1 | train |
Definition: Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Input: Relationship: 'be form of', Argument/Subject 1: 'kamagra', Argument/Subject 2: 'viagra'
Output: | Kamagra is a form of Generic Viagra , the cost-effective supplement in comparison to its brand equivalent . | task677_ollie_sentence_answer_generation | NIv2 | zs_opt | 2 | train |
Detailed Instructions: Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Q: Relationship: 'be language in', Argument/Subject 1: 'french', Argument/Subject 2: 'france'
A: | French is a Romance language originally spoken in France , Belgium , Luxembourg , and Switzerland , and today by about 300 million people around the world as either a native or a second language ,with significant populations in 54 countries . | task677_ollie_sentence_answer_generation | NIv2 | zs_opt | 9 | train |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
One example: Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it'
Solution is here: The mailbox was bent and broken and looked like someone had knocked... | AACS LA founders include IBM Corp , Intel Corp. Microsoft Corp , Panasonic , Sony Corp , Toshiba Corp the Walt Disney Co , and Warner Bros Studios , a unit of Time Warner Inc. | task677_ollie_sentence_answer_generation | NIv2 | fs_opt | 6 | train |
Given the task definition and input, reply with output. Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Relationship: 'be appoint by', Argument/Subject 1: 'minister', Argument/Subject 2: 'president'
| Russian President Vladimir Putin has formally appointed Zubkov , chief of the Federal Financial Monitoring Service , as the new prime minister after the parliament approved his nomination Friday . | task677_ollie_sentence_answer_generation | NIv2 | zs_opt | 5 | train |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Let me give you an example: Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it'
The answer to this example can be: The mailbox was bent and broken an... | George Washington 's home at Mount Vernon is also well worth the wait in line . | task677_ollie_sentence_answer_generation | NIv2 | fs_opt | 8 | train |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Ex Input:
Relationship: 'be trademark of', Argument/Subject 1: 'ubuntu', Argument/Subject 2: 'canonical ltd'
Ex Output:
Ubuntu are registered trademarks of Canonical Ltd.
Ex... | In many ways Marrakesh , the city with so many names , is a symbol of the old Morocco and a time gone by .
| task677_ollie_sentence_answer_generation | NIv2 | fs_opt | 1 | train |
Detailed Instructions: Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Problem:Relationship: 'be bishop of', Argument/Subject 1: 'pope', Argument/Subject 2: 'rome'
Solution: | The Bishops of Rome petitioned Pope Clement VIII to forbid coffee drinking to all of Christendom . | task677_ollie_sentence_answer_generation | NIv2 | zs_opt | 8 | test |
Detailed Instructions: Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Q: Relationship: 'be language of', Argument/Subject 1: 'french', Argument/Subject 2: 'quebec'
A: | I think French should be the first language in Quebec . | task677_ollie_sentence_answer_generation | NIv2 | zs_opt | 9 | validation |
In this task, you're given statements in native Tamil language. The statement can be written with the Tamil alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive posts do not includ... | Not offensive | task1537_tamil_offenseval_dravidian_classification | NIv2 | fs_opt | 6 | train |
Teacher:In this task, you're given statements in native Tamil language. The statement can be written with the Tamil alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive posts do no... | Offensive | task1537_tamil_offenseval_dravidian_classification | NIv2 | zs_opt | 6 | train |
Detailed Instructions: In this task, you're given statements in native Tamil language. The statement can be written with the Tamil alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offens... | Not offensive | task1537_tamil_offenseval_dravidian_classification | NIv2 | fs_opt | 4 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you're given statements in native Tamil language. The statement can be written with the Tamil alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if th... | Offensive | task1537_tamil_offenseval_dravidian_classification | NIv2 | zs_opt | 1 | train |
Q: In this task, you're given statements in native Tamil language. The statement can be written with the Tamil alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive posts do not inc... | Offensive | task1537_tamil_offenseval_dravidian_classification | NIv2 | zs_opt | 7 | train |
In this task, you're given statements in native Tamil language. The statement can be written with the Tamil alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive posts do not includ... | Not offensive | task1537_tamil_offenseval_dravidian_classification | NIv2 | fs_opt | 3 | train |
Detailed Instructions: In this task, you're given statements in native Tamil language. The statement can be written with the Tamil alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offens... | Not offensive | task1537_tamil_offenseval_dravidian_classification | NIv2 | zs_opt | 8 | train |
Definition: In this task, you're given statements in native Tamil language. The statement can be written with the Tamil alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive posts d... | Not offensive | task1537_tamil_offenseval_dravidian_classification | NIv2 | zs_opt | 2 | train |
Q: In this task, you're given statements in native Tamil language. The statement can be written with the Tamil alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive posts do not inc... | Not offensive | task1537_tamil_offenseval_dravidian_classification | NIv2 | zs_opt | 7 | test |
Given the task definition, example input & output, solve the new input case.
In this task, you're given statements in native Tamil language. The statement can be written with the Tamil alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if th... | Not offensive | task1537_tamil_offenseval_dravidian_classification | NIv2 | fs_opt | 1 | validation |
Detailed Instructions: Given a sentence in Chinese, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Problem:光学偏振在微观上由材料系统的不同状态之间的量子力学转变产生。
Solution: | 微視的には、偏光は材料系の異なる状態間の量子力学的遷移から生じる。 | task812_pawsx_chinese_japanese_translation | NIv2 | zs_opt | 8 | train |
Given a sentence in Chinese, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Hastings Ndlovu在约翰内斯堡的Avalon公墓与Hector Pieterson一起被埋葬。 | ヘイスティングス・ピーターソンと共にヘイスティングス・ヌドロフはヨハネスブルグのアバロン墓地に埋葬されました。 | task812_pawsx_chinese_japanese_translation | NIv2 | zs_opt | 0 | train |
Detailed Instructions: Given a sentence in Chinese, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
See one example below:
Problem: 1975年的NBA赛季 - 76赛季是全美篮球协会的第30个赛季。
Solution: 1975 - 76年の全米バスケットボール協会のシーズンは、NBAの第30シーズンでした。
Explan... | 彼女は1941年7月28日に打ち上げられ、8月に完成しました。 | task812_pawsx_chinese_japanese_translation | NIv2 | fs_opt | 4 | train |
Given the task definition and input, reply with output. Given a sentence in Chinese, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Tweenies由Bella，Milo，Fizz，Jake，Doodles，Izzles，Max，Judy组成，有时加入Max的妹妹Polly。
| トゥイーンはBella、Milo、Fizz、Jake、Scribbles、Izzles、Max、Judyで構成され、時にはMaxのアポスが加わります。シスターポリー。 | task812_pawsx_chinese_japanese_translation | NIv2 | zs_opt | 5 | train |
Given a sentence in Chinese, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Q: 这是伦敦考文特花园区街道名称的词源列表。
A: | これはロンドンの地区コベントガーデンにある通りの名前の語源のリストです。 | task812_pawsx_chinese_japanese_translation | NIv2 | zs_opt | 4 | train |
Teacher: Given a sentence in Chinese, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? If you are still confused, see the following example:
1975年的NBA赛季 - 76赛季是全美篮球协会的第30个赛季。
Solution: 1975 - ... | 1866年にポーツマス海軍造船所に割り当てられ、1868年にペンサコーラ海軍造船所に割り当てられました。 | task812_pawsx_chinese_japanese_translation | NIv2 | fs_opt | 2 | train |
Teacher: Given a sentence in Chinese, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? If you are still confused, see the following example:
1975年的NBA赛季 - 76赛季是全美篮球协会的第30个赛季。
Solution: 1975 - ... | これはシーズンを完了する最後のAFLチャンピオンシップであり、1966年シーズンに続いて最初のスーパーボウルでした。 | task812_pawsx_chinese_japanese_translation | NIv2 | fs_opt | 2 | train |
Given the task definition, example input & output, solve the new input case.
Given a sentence in Chinese, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Example: 1975年的NBA赛季 - 76赛季是全美篮球协会的第30个赛季。
Output: 1975 - 76年の全米バスケットボール協会... | フェスティバルは2007年に始まり、アリゾナ州フェニックスでデビューし、その後サンディエゴ、ヒューストン、チューリッヒで開催されました。 | task812_pawsx_chinese_japanese_translation | NIv2 | fs_opt | 1 | train |
Instructions: Given a sentence in Chinese, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Input: 他在1813年赢得了第一届罗马大奖的绘画，并于1814年以第二届罗马大奖的形式赢得了他对“Diagoras之死”的绘画。
Output: | 彼は1813年に絵画のためにローマ初のPrix de Romeを獲得し、そして1814年に「Diagorasの死」の彼の絵画のために2番目のPrix de Romeを獲得した。 | task812_pawsx_chinese_japanese_translation | NIv2 | zs_opt | 3 | test |
Given a sentence in Chinese, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
2000年7月1日起，Mineral Hills村和Stambaugh市与Iron River市合并。
2000年7月1日に、Mineral Hillsの村とStambaughの町はIron Riverの町と統合されました。
这座房子于1858年由Dunira的David Dundas爵士购买，并于18... | それは標高650mのTattapani（Himachal Pradesh）にあり、治療に最適な温度です。
| task812_pawsx_chinese_japanese_translation | NIv2 | fs_opt | 0 | validation |
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