source stringlengths 17 501k | target stringlengths 0 8.23k | task_name stringlengths 8 85 | task_source stringclasses 4
values | template_type stringclasses 4
values | template_idx int64 0 17 | split stringclasses 3
values |
|---|---|---|---|---|---|---|
Q: In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
¿Qué sucede con los parámetros cinéticos de una enzima michaeliana en presencia de un inhibidor competitivo?
A: | What happens to the kinetic parameters of a michael enzyme in the presence of a competitive inhibitor ? | task1433_head_qa_language_translation_es_to_en | NIv2 | zs_opt | 7 | train |
Teacher:In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Teacher: Now, understand the problem? Solve this instance: ¿Qué fármaco debe recomendarse para el tratamiento de la epilepsia mioclónica juvenil?
Student: | What drug should be recommended for the treatment of juvenile myoclonic epilepsy? | task1433_head_qa_language_translation_es_to_en | NIv2 | zs_opt | 6 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Están directamente implicados en las reacciones alérgicas
Output: | They are directly involved in allergic reactions | task1433_head_qa_language_translation_es_to_en | NIv2 | zs_opt | 1 | train |
In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Q: Pregunta vinculada a la imagen nº12 Una mujer de 88 años de edad con antecedentes de demencia tipo Alzheimer, insuficiencia mitral y fibrilación auricular persistente, ingresa en ... | Question linked to image nº12 An 88-year-old woman with a history of Alzheimer's dementia, mitral insufficiency and persistent atrial fibrillation, enters a hospital due to a deterioration in her general condition that is attributed to a urinary tract infection. The peripheral venous routes are not accessible and it is... | task1433_head_qa_language_translation_es_to_en | NIv2 | zs_opt | 4 | train |
In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Example Input: Una persona que presenta en orina una [Urea] elevada, posiblemente lleva una dieta
Example Output: A person who presents with urine a high [Urea], possibly leads a di... | Mast cells or mast cells belong to the tissue
| task1433_head_qa_language_translation_es_to_en | NIv2 | fs_opt | 3 | train |
instruction:
In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
question:
Entre los componentes característicos del sistema inmunitario adaptativo están
answer:
Among the characteristic components of the adaptive immune system are
... | In a clinical trial, the non-inferiority of the HDP-MDI inhaler (experimental) was evaluated against the FDC-ELIPTUS inhaler (control). The lower clinically relevant limit was set at -50 ml in the forced expiratory volume in the first second (FEV1). The results showed an absolute difference in FEV1 between treatments o... | task1433_head_qa_language_translation_es_to_en | NIv2 | fs_opt | 9 | train |
TASK DEFINITION: In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
PROBLEM: En la endocitosis mediada por receptor interviene
SOLUTION: In the receptor-mediated endocytosis intervenes
PROBLEM: Reva Rubin identifica la conducta mat... | Mass spectrometry is combined with chromatography to generate a very powerful analytical tool. With regard to mass spectrometry (MS), it can be said that
| task1433_head_qa_language_translation_es_to_en | NIv2 | fs_opt | 8 | train |
Detailed Instructions: In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Problem:En la mitosis, la membrana nuclear se desintegra y los microtúbulos del huso se fijan a los cinetocoros en
Solution: | In mitosis, the nuclear membrane disintegrates and spindle microtubules bind to the kinetochores in | task1433_head_qa_language_translation_es_to_en | NIv2 | zs_opt | 8 | train |
instruction:
In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
question:
En ciertos casos es necesario llevar a cabo tratamientos previos con agentes oxidantes o reductores en valoraciones redox con la finalidad de
answer:
In certai... | The reactions in which the kinetics does not depend on the nucleophilic concentration, are reactions
| task1433_head_qa_language_translation_es_to_en | NIv2 | fs_opt | 9 | test |
Detailed Instructions: In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Q: ¿Cómo se denomina el máximo volumen de aire que un sujeto puede espirar después de una inspiración máxima?
A: | What is the maximum volume of air that a subject can breathe out after maximum inspiration ? | task1433_head_qa_language_translation_es_to_en | NIv2 | zs_opt | 9 | validation |
Question: Information: - Ann Hart Coulter (born December 8, 1961) is an American conservative social and political commentator, writer, syndicated columnist, and lawyer. She frequently appears on television, radio, and as a speaker at public and private events. - Roger Joseph Ebert (June 18, 1942 April 4, 2013) was ... | author | wiki_hop_original_choose_best_object_affirmative_3 | P3 | zs_opt | 4 | train |
Question: Information: - Finland , officially the Republic of Finland, is a sovereign state in Northern Europe. A peninsula with the Gulf of Finland to the south and the Gulf of Bothnia to the west, the country has land borders with Sweden to the northwest, Norway to the north, and Russia to the east. Estonia is south... | hugo alvar henrik aalto | wiki_hop_original_choose_best_object_affirmative_3 | P3 | zs_noopt | 4 | train |
Information: - A factory (previously manufactory) or manufacturing plant is an industrial site, usually consisting of buildings and machinery, or more commonly a complex having several buildings, where workers manufacture goods or operate machines processing one product into another. - Bancroft Mills is an abandoned ... | construction | wiki_hop_original_choose_best_object_affirmative_3 | P3 | zs_opt | 0 | train |
Question: Information: - Operetta is a genre of light opera, "light" in terms both of music and subject matter. - Coups de roulis is an opérette in three acts with music by André Messager and a French libretto by Albert Willemetz , based on the 1925 novel by Maurice Larrouy . - Les p'tites Michu is an opérette in th... | event | wiki_hop_original_choose_best_object_affirmative_3 | P3 | fs_opt | 3 | train |
Given the question: Information: - The Jack Russell Terrier is a small terrier that has its origins in fox hunting. It is principally white-bodied and smooth, rough or broken-coated. But, can be any colour. - The Parson Russell Terrier is a breed of small white terrier that was the original Fox Terrier of the 18th ce... | dog type | wiki_hop_original_choose_best_object_affirmative_3 | P3 | zs_opt | 6 | train |
Information: - Looney Tunes is an American animated series of comedy short films produced by Warner Bros. from 1930 to 1969 during the golden age of American animation, alongside its sister series "Merrie Melodies". It was known for introducing such famous cartoon characters as Bugs Bunny, Daffy Duck, Porky Pig, Elmer... | bob clampett | wiki_hop_original_choose_best_object_affirmative_3 | P3 | zs_opt | 2 | train |
Information: - Lebanon , officially known as the Lebanese Republic, is a sovereign state in Western Asia. It is bordered by Syria to the north and east and Israel to the south, while Cyprus is west across the Mediterranean Sea. Lebanon's location at the crossroads of the Mediterranean Basin and the Arabian hinterland ... | 13 june 2007 | wiki_hop_original_choose_best_object_affirmative_3 | P3 | zs_opt | 0 | train |
Information: - Naked in Death ( 1995 ) is the first book of the In Death series by J. D. Robb , preceding Glory in Death . This book originally had a cover flat produced for it with the name `` D. J. MacGregor '' , but was changed later . - Roarke is a fictional character from the series "In Death". He is the husband... | conservatism | wiki_hop_original_choose_best_object_affirmative_3 | P3 | fs_opt | 0 | train |
Information: - The (13331336) is the name given to both the three-year period of Japanese history between the Kamakura period and the Muromachi period, and the political events that took place in it. The restoration was an effort made by Emperor Go-Daigo to bring the Imperial House back into power, thus restoring a ci... | samurai | wiki_hop_original_choose_best_object_affirmative_3 | P3 | zs_opt | 0 | test |
Information: - Montreal Locomotive Works (MLW) was a Canadian railway locomotive manufacturer which existed under several names from 1883 to 1985, producing both steam and diesel locomotives. For a number of years it was a subsidiary of the American Locomotive Company. MLW's headquarters and manufacturing facilities w... | tethys
------ | wiki_hop_original_choose_best_object_affirmative_3 | P3 | fs_opt | 5 | validation |
Q: Dialogue: F: Sorry, I forgot to tell John the good news. M: Why not go and tell him right now? Question: What did the man ask the woman to do? - To go away right now. - To keep the news from John. - To tell John the news right now.
A: To tell John the news right now.
Q: Dialogue: W: This is a lovely house!... | A: On the phone. | dream_baseline | P3 | fs_opt | 2 | train |
Dialogue: W: Morning. Gall. Did you enjoy your holiday in the country? M: Yes. We had a great time. And some friends went along with us. W: Where did you stay? In a hotel? M: No. We camped in the mountains, near Snowdon. We cooked all our meals over an open fire. W: Sounds great. Was the weather good? M: The sun ... | The man. | dream_baseline | P3 | fs_opt | 1 | train |
Dialogue: M: How do you come to the new house? W: I come to there by bus. Question: How does the woman come to the new house? - On foot. - By bike. - By bus.
By bus.
(Question)
Dialogue: M: What seems to be the matter? W: I just can't sleep well, doctor. M: I see. And how long have you had this problem? W: O... | Five. | dream_baseline | P3 | fs_opt | 9 | train |
Dialogue: Son: Dad. Can I go outside to play? Dad: Well, did you get you Saturday's work done? Son: Ah, Dad. Do I have to? Dad: Well, you know the rules. No playing until the work is done. Son: So, what is my work? Dad: Well, first you have to clean the bathroom including the toilet. And don't forget to scrub the... | At 12:40. | dream_baseline | P3 | fs_opt | 3 | train |
Dialogue: Crystal: Vet, can you tell us what you usually do to deal with stress and depression? Vet: I eat a cucumber and go to bed. I figure it's a healthy alternative to chocolate. Crystal: Do you ever feel that having a baby has stopped you from your goals or dreams? Vet: I always wanted to be a cheerleader, and... | To be a cheerleader. | dream_baseline | P3 | zs_opt | 2 | train |
Dialogue: W: Excuse me, do you have any batteries? I need some to my radio. M: Sure. They are over there, next to the pens. Question: What does the woman want? - A radio. - Some pens. - Some batteries.
A: | Some batteries. | dream_baseline | P3 | zs_opt | 2 | train |
Dialogue: F: Can you help my son Peter with his English, Mr. Black? M: OK, Mrs. Green. Question: What does Mrs. Green say? - She says that Peter will help Mr. Black with his English. - She says that she wants Mr. Black to help Peter. - She says that she wants Mr. Black to help her.
She says that she wants Mr. Bl... | He has to do what is necessary in order to learn. | dream_baseline | P3 | fs_opt | 7 | train |
Dialogue: M: Two more miles to go...we have an hour before school starts. Let's take our time. Do you want to stop and get a breakfast sandwich? W: We decided to start walking to school for the exercise. We want to get fit. Why would we want to eat a fattening breakfast sandwich? M: McDonald's has an egg muffin sand... | 320 calories. | dream_baseline | P3 | zs_noopt | 2 | train |
Given the question: Dialogue: W: Do you eat a big breakfast? M: No, I just have a glass of milk. What about you? W: I have a big breakfast. I eat eggs and toast, and I drink milk. Question: What does the man have for breakfast? - Milk only. - Milk and toast. - Milk and eggs.
The answer is: | Milk only. | dream_baseline | P3 | zs_noopt | 6 | test |
Dialogue: W: Excuse me, sir? M: Can I help you? W: My name is Jane Smith. I'm a designer, looking for a job. M: See my secretary. She will set you up with the test. W: When? M: Next month. W: I can't wait that long. M: Excuse me? W: I can't wait a month. I need something sooner. M: I'm sorry. Question: Why d... | She'll drive him to the bank. | dream_baseline | P3 | fs_opt | 0 | validation |
You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
Sentence: Two horses are being ridden out of the same barn. The white horse is going the same speed as the grey horse. The... | grey horse | task1378_quarel_correct_answer_generation | NIv2 | zs_opt | 0 | train |
Detailed Instructions: You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
Problem:Sentence: A dog liked to roam the neighborhood. On Tuesday the dog walked down the street fo... | on Tuesday | task1378_quarel_correct_answer_generation | NIv2 | zs_opt | 8 | train |
You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
[EX Q]: Sentence: Two kids are chatting across the playground. They are harder to hear than the group of kids chatting rig... | ocean floor
| task1378_quarel_correct_answer_generation | NIv2 | fs_opt | 6 | train |
You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
Example: Sentence: Jacob and Benny are squatting at the gym. Jacob has thin frail legs and Benny has big strong legs. Quest... | Solution: licorice | task1378_quarel_correct_answer_generation | NIv2 | fs_opt | 5 | train |
Q: You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
Sentence: The plastic bowl is much more flexible than the glass bowl. Question: If both are dropped, which one is less l... | plastic bowl | task1378_quarel_correct_answer_generation | NIv2 | zs_opt | 7 | train |
Given the task definition and input, reply with output. You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
Sentence: Dana just got down running a marathon. Alan just got don... | Dana | task1378_quarel_correct_answer_generation | NIv2 | zs_opt | 5 | train |
You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
Example Input: Sentence: Shawna and Lynn are on a tandem bicycle. Shawna is pedaling furiously, while Lynn is barely movin... | Lilly
| task1378_quarel_correct_answer_generation | NIv2 | fs_opt | 3 | train |
You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
--------
Question: Sentence: Sina and Kim work together. Sina is driving a sports car to work while Kim rides her bike to w... | Mike
| task1378_quarel_correct_answer_generation | NIv2 | fs_opt | 7 | train |
Given the task definition and input, reply with output. You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
Sentence: Sue and Becky live together but want to go to the store ... | Becky | task1378_quarel_correct_answer_generation | NIv2 | zs_opt | 5 | test |
You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
Ex Input:
Sentence: It was dinnertime and Sue and her brother Tim headed toward home at exactly the same time, walking at ... | lamp nearby
| task1378_quarel_correct_answer_generation | NIv2 | fs_opt | 1 | validation |
Definition: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Input: how do you know her?
Output: | تو اون رو از كجا مي شناسي؟ | task658_tep_en_fa_translation | NIv2 | zs_opt | 2 | train |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
i don't have a friend, | دوستي هم ندارم | task658_tep_en_fa_translation | NIv2 | zs_opt | 0 | train |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Example input: not just the words . and thats where a great film editor can help a director .
Example output: فقط کلمات نيستن؛ يک تدوينگر خوب خيلي به کار گردان کمک ميکنه .
Example explanation: This is a good example. The ... | ديگه کسي را تحويل نداد . | task658_tep_en_fa_translation | NIv2 | fs_opt | 3 | 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 a sentence in English, and your task is to translate it into Persian.
not just the words . and thats where a great film editor can help a director .
Solution: فقط کلمات ن... | آيا من در شتباهم ؟ | task658_tep_en_fa_translation | NIv2 | fs_opt | 0 | train |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Q: gentility .
A: آقا منشي .
****
Q: but you simply can't be respected unless you have one of these.
A: ولي تو بدون داشتن يکي از اينا . نمي توني آدم قابل احترامي باشي
****
Q: cowpox .
A: | آبله گاوي .
****
| task658_tep_en_fa_translation | NIv2 | fs_opt | 4 | train |
Detailed Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Q: truth be told , im part black myself .
A: | حقيقت گفته شد ، من خودم جزئي از سياهها هستم . | task658_tep_en_fa_translation | NIv2 | zs_opt | 9 | train |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
[Q]: i didn't do it.
[A]: . من اون کارو نکردم
[Q]: youll be in detention the rest of your life . so lets end this right now .
[A]: تو بقيه عمرت را بازداشت هستي پس همين حالا تمومش کن .
[Q]: pipe down , damn .
[A]: | آروم باش لعنتي .
| task658_tep_en_fa_translation | NIv2 | fs_opt | 5 | train |
Part 1. Definition
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Part 2. Example
not just the words . and thats where a great film editor can help a director .
Answer: فقط کلمات نيستن؛ يک تدوينگر خوب خيلي به کار گردان کمک ميکنه .
Explanation: This is a good example. T... | لطفا منو ببخشيد. منو نكشيد | task658_tep_en_fa_translation | NIv2 | fs_opt | 7 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Example: not just the words . and thats where a great film editor can help a director .
Output: فقط کلمات نيستن؛ يک تدوينگر خوب خيلي به کار گردان... | خواهرام ميتونند برام نامه بنويسن . چون کار ديگه اي ندارند . | task658_tep_en_fa_translation | NIv2 | fs_opt | 1 | test |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Example input: not just the words . and thats where a great film editor can help a director .
Example output: فقط کلمات نيستن؛ يک تدوينگر خوب خيلي به کار گردان کمک ميکنه .
Example explanation: This is a good example. The ... | يك جلسه ي سلطنتي؟ | task658_tep_en_fa_translation | NIv2 | fs_opt | 3 | validation |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | Sentence 1: A loner since childhood, PersonX never had many friends while PersonY was popular. _ had never fit into society.
Sentence 2: A loner since childhood, PersonX never had many friends while PersonY was popular. _ had always fit into society. | task030_winogrande_full_person | NIv2 | fs_opt | 3 | train |
Given the task definition and input, reply with output. In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be d... | Sentence 1: PersonX showed PersonY how to creating a webpage, _ was teaching others how to be a web developer.
Sentence 2: PersonX showed PersonY how to creating a webpage, _ was learning how to be web developer. | task030_winogrande_full_person | NIv2 | zs_opt | 5 | train |
Given the task definition and input, reply with output. In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be d... | Sentence 1: PersonX campaigned to have a partition between two different ethnic communities but PersonY did not because _ was prejudiced.
Sentence 2: PersonX campaigned to have a partition between two different ethnic communities but PersonY did not because _ was open-minded. | task030_winogrande_full_person | NIv2 | zs_opt | 5 | train |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | Sentence 1: PersonX gave a nice compliment to PersonY, which made _ feel like a generous person.
Sentence 2: PersonX gave a nice compliment to PersonY, which made _ feel like an attractive person. | task030_winogrande_full_person | NIv2 | fs_opt | 8 | train |
Teacher: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "symp... | Sentence 1: PersonX was a good student in high school, but PersonY was not, because _ studied hard on weekends.
Sentence 2: PersonX was a good student in high school, but PersonY was not, because _ partied hard on weekends. | task030_winogrande_full_person | NIv2 | fs_opt | 2 | train |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | Sentence 1: On their way to the baseball game, PersonX made sure to be protective of PersonY just in case because _ was the father.
Sentence 2: On their way to the baseball game, PersonX made sure to be protective of PersonY just in case because _ was the daughter.
| task030_winogrande_full_person | NIv2 | fs_opt | 1 | train |
Part 1. Definition
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e... | Sentence 1: PersonX wanted to help PersonY with moving out so _ created a stable moving plan.
Sentence 2: PersonX wanted to help PersonY with moving out and _ needed a stable moving plan. | task030_winogrande_full_person | NIv2 | fs_opt | 7 | train |
instruction:
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "... | Sentence 1: PersonX is very sensual with their body language toward PersonY due to _ being sultry.
Sentence 2: PersonX is very sensual with their body language toward PersonY due to _ being very attractive.
| task030_winogrande_full_person | NIv2 | fs_opt | 9 | train |
Teacher:In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympa... | Sentence 1: PersonX forgot to put down the puppy pads so his dog peed on PersonY's floor so _ offered to clean it up.
Sentence 2: PersonX forgot to put down the puppy pads so his dog peed on PersonY's floor so _ demanded he clean it up. | task030_winogrande_full_person | NIv2 | zs_opt | 6 | test |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | Sentence 1: PersonX was a good co worker, unlike PersonY. _ always asked others if they needed help.
Sentence 2: PersonX was a good co worker, unlike PersonY. _ never asked others if they needed help. | task030_winogrande_full_person | NIv2 | fs_opt | 8 | validation |
In this task, you are given a country name and you need to return the abbrevation name of the given country.
Example Input: Japan
Example Output: JP
Example Input: Germany
Example Output: DE
Example Input: Jamaica
Example Output: | JM
| task1314_country_abbreviation | NIv2 | fs_opt | 3 | train |
Detailed Instructions: In this task, you are given a country name and you need to return the abbrevation name of the given country.
Q: Georgia
A: | GE | task1314_country_abbreviation | NIv2 | zs_opt | 9 | train |
Teacher: In this task, you are given a country name and you need to return the abbrevation name of the given country.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Afghanistan
Solution: AF
Reason: AF is the abbrevation name of the country called Afghanistan.
Now, solve thi... | AG | task1314_country_abbreviation | NIv2 | fs_opt | 2 | train |
Definition: In this task, you are given a country name and you need to return the abbrevation name of the given country.
Input: Gambia
Output: | GM | task1314_country_abbreviation | NIv2 | zs_opt | 2 | train |
In this task, you are given a country name and you need to return the abbrevation name of the given country.
--------
Question: Saint Pierre and Miquelon
Answer: PM
Question: Djibouti
Answer: DJ
Question: Suriname
Answer: | SR
| task1314_country_abbreviation | NIv2 | fs_opt | 7 | train |
Part 1. Definition
In this task, you are given a country name and you need to return the abbrevation name of the given country.
Part 2. Example
Afghanistan
Answer: AF
Explanation: AF is the abbrevation name of the country called Afghanistan.
Part 3. Exercise
Bolivia
Answer: | BO | task1314_country_abbreviation | NIv2 | fs_opt | 7 | train |
In this task, you are given a country name and you need to return the abbrevation name of the given country.
Example Input: Panama
Example Output: PA
Example Input: Morocco
Example Output: MA
Example Input: Ethiopia
Example Output: | ET
| task1314_country_abbreviation | NIv2 | fs_opt | 3 | train |
In this task, you are given a country name and you need to return the abbrevation name of the given country.
Canada | CA | task1314_country_abbreviation | NIv2 | zs_opt | 0 | train |
Teacher: In this task, you are given a country name and you need to return the abbrevation name of the given country.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Afghanistan
Solution: AF
Reason: AF is the abbrevation name of the country called Afghanistan.
Now, solve thi... | PG | task1314_country_abbreviation | NIv2 | fs_opt | 2 | test |
Detailed Instructions: In this task, you are given a country name and you need to return the abbrevation name of the given country.
Problem:North Korea
Solution: | KP | task1314_country_abbreviation | NIv2 | zs_opt | 8 | validation |
Q: In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
One Briton was killed and five others were injured at the Roman Theatre... | アンマン中央にあるローマ劇場でイギリス人1名が殺害されて他の5人が負傷した。 | task435_alt_en_ja_translation | NIv2 | zs_opt | 7 | train |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Example input: Italy have defeated Portugal 31-5 in Pool C of the 2007 Ru... | 金曜日に火山活動は減少し、土曜日の夕方まで落ち着いていたが、エクアドル地球物理学研究所は,より大きな噴火が起こるかもしれないと警告している。 | task435_alt_en_ja_translation | NIv2 | fs_opt | 3 | train |
Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: Unlike other Balkan states such as Slovenia, Croatia an... | スロベニアやクロアチア、ボスニアなど他のバルカン地域の国と違い、モンテネグロは暴力なく独立を達成した。 | task435_alt_en_ja_translation | NIv2 | zs_opt | 2 | train |
Part 1. Definition
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Part 2. Example
Italy have defeated Portugal 31-5 in Po... | ウクライナは、競技においてはヨーロッパでトップにランクしており、この年の初期に開かれたインターコンチネンタルカップでは、ロシア、スロベニア、ブラジル、イギリスを負かし、2位になり、トーナメント戦に入った。 | task435_alt_en_ja_translation | NIv2 | fs_opt | 7 | train |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Example: Italy have defeated Portugal 31-5 in Pool C of the 2007 Rugby Wor... | Solution: 闘犬はフィンランドでは犬への残虐行為を規制する法律に抵触し、このケースは10月に起訴されると思われている。 | task435_alt_en_ja_translation | NIv2 | fs_opt | 5 | train |
Given the task definition and input, reply with output. In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
While refusing to... | ブッシュ政権は、拘置引渡しの取り決めの存在自体を認めることを拒否しているが、拷問を禁止しているアメリカではアメリカの法律を逃れるために拷問目的で人を他国に引き渡すことはないと主張している。 | task435_alt_en_ja_translation | NIv2 | zs_opt | 5 | train |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: Consider Input: Project leader William Dennison, of the University... | Output: ロンドン発ニューヨーク行きのパンアメリカン航空103便の爆撃は、259人の搭乗客と地上での犠牲者11人を含む270人もの死者を出した。
| task435_alt_en_ja_translation | NIv2 | fs_opt | 2 | train |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
[Q]: Hughes retired 19 Texas Rangers without allowing a hit on Tuesday at... | AP通信によると、市民はオプラ・ウィンフリー・ショーを「今ここにあるもの、そして失くしたかもしれないものを思い出させるもの」として見ている。
| task435_alt_en_ja_translation | NIv2 | fs_opt | 5 | train |
instruction:
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
question:
Meanwhile, public health officials in Ohio today an... | 「もしそれが却下されるならば、私や私の後継者が、別の合意に達するのにどれくらいの期間がかかるか分からないが、私はそれはこれより良くはならないだろうと思っている。」
| task435_alt_en_ja_translation | NIv2 | fs_opt | 9 | test |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: The wounded soldier, who was the sole survivor, was flown to a Mexico C... | たった一人の生存者である負傷兵はメキシコ市軍病院に搬送され、重態である。 | task435_alt_en_ja_translation | NIv2 | zs_opt | 4 | validation |
Given a paragraph, your job is to generate a question that can be answered from the passage. The answer to your question should be a single entity, person, time, etc. that can be extracted from the passage.
Example: There are a million times more viruses on the planet than stars in the universe. Viruses also harbor the... | Solution: What was the black death originally blamed on? | task1609_xquad_en_question_generation | NIv2 | fs_opt | 5 | train |
Detailed Instructions: Given a paragraph, your job is to generate a question that can be answered from the passage. The answer to your question should be a single entity, person, time, etc. that can be extracted from the passage.
Problem:Some forms of civil disobedience, such as illegal boycotts, refusals to pay taxes,... | Boycotting, refusing to pay taxes, sit ins, and draft dodging all make what harder? | task1609_xquad_en_question_generation | NIv2 | zs_opt | 8 | train |
Q: Given a paragraph, your job is to generate a question that can be answered from the passage. The answer to your question should be a single entity, person, time, etc. that can be extracted from the passage.
Chloroplasts have their own DNA, often abbreviated as ctDNA, or cpDNA. It is also known as the plastome. Its e... | What is chloroplast DNA abbreviated as? | task1609_xquad_en_question_generation | NIv2 | zs_opt | 7 | train |
Given a paragraph, your job is to generate a question that can be answered from the passage. The answer to your question should be a single entity, person, time, etc. that can be extracted from the passage.
[Q]: Environmentalists are concerned about loss of biodiversity that will result from destruction of the forest,... | When did BSkyB announce it's intention to replace it's free-to-air digital channels?
| task1609_xquad_en_question_generation | NIv2 | fs_opt | 5 | train |
instruction:
Given a paragraph, your job is to generate a question that can be answered from the passage. The answer to your question should be a single entity, person, time, etc. that can be extracted from the passage.
question:
Grissom, White, and Chaffee decided to name their flight Apollo 1 as a motivational focus ... | What continent are the Canarian Islands off the coast of?
| task1609_xquad_en_question_generation | NIv2 | fs_opt | 9 | train |
Given a paragraph, your job is to generate a question that can be answered from the passage. The answer to your question should be a single entity, person, time, etc. that can be extracted from the passage.
Example input: There are a million times more viruses on the planet than stars in the universe. Viruses also har... | What is the name of the private day school for K-12 students the university runs? | task1609_xquad_en_question_generation | NIv2 | fs_opt | 3 | train |
Definition: Given a paragraph, your job is to generate a question that can be answered from the passage. The answer to your question should be a single entity, person, time, etc. that can be extracted from the passage.
Input: Luther's hymns were frequently evoked by particular events in his life and the unfolding Refor... | What caused Luther to write hymns? | task1609_xquad_en_question_generation | NIv2 | zs_opt | 2 | train |
You will be given a definition of a task first, then some input of the task.
Given a paragraph, your job is to generate a question that can be answered from the passage. The answer to your question should be a single entity, person, time, etc. that can be extracted from the passage.
Since the 2005 revival, the Doctor ... | Since 2005, what is the gender of Doctor Who's primary traveling companion? | task1609_xquad_en_question_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 a paragraph, your job is to generate a question that can be answered from the passage. The answer to your question should be a single entity, person, time, etc. that can be extracted from the p... | What has a negative influence over the US economy? | task1609_xquad_en_question_generation | NIv2 | fs_opt | 0 | test |
Given the task definition and input, reply with output. Given a paragraph, your job is to generate a question that can be answered from the passage. The answer to your question should be a single entity, person, time, etc. that can be extracted from the passage.
In past times, corporal punishment (spanking or paddling... | How common was the form of corporal punishment in the past? | task1609_xquad_en_question_generation | NIv2 | zs_opt | 5 | validation |
You will be given a definition of a task first, then some input of the task.
In medical studies, treatments are tested within a group of study participants. To determine if a new treatment works, various outcomes are measured in the people who take part in the study. You will be given a sentence of a study report in wh... | growth rates | task181_outcome_extraction | NIv2 | zs_opt | 1 | train |
In medical studies, treatments are tested within a group of study participants. To determine if a new treatment works, various outcomes are measured in the people who take part in the study. You will be given a sentence of a study report in which your task is to list the phrases that give information about the outcomes... | Solution: not found | task181_outcome_extraction | NIv2 | fs_opt | 5 | train |
Detailed Instructions: In medical studies, treatments are tested within a group of study participants. To determine if a new treatment works, various outcomes are measured in the people who take part in the study. You will be given a sentence of a study report in which your task is to list the phrases that give informa... | proteinuria | task181_outcome_extraction | NIv2 | zs_opt | 9 | train |
In medical studies, treatments are tested within a group of study participants. To determine if a new treatment works, various outcomes are measured in the people who take part in the study. You will be given a sentence of a study report in which your task is to list the phrases that give information about the outcomes... | not found | task181_outcome_extraction | NIv2 | fs_opt | 6 | train |
Given the task definition and input, reply with output. In medical studies, treatments are tested within a group of study participants. To determine if a new treatment works, various outcomes are measured in the people who take part in the study. You will be given a sentence of a study report in which your task is to l... | cortisol, glucose | task181_outcome_extraction | NIv2 | zs_opt | 5 | 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 medical studies, treatments are tested within a group of study participants. To determine if a new treatment works, various outcomes are measured in the people who take part in the study. You will... | expressive language | task181_outcome_extraction | NIv2 | fs_opt | 0 | train |
Detailed Instructions: In medical studies, treatments are tested within a group of study participants. To determine if a new treatment works, various outcomes are measured in the people who take part in the study. You will be given a sentence of a study report in which your task is to list the phrases that give informa... | not found | task181_outcome_extraction | NIv2 | fs_opt | 4 | train |
Teacher:In medical studies, treatments are tested within a group of study participants. To determine if a new treatment works, various outcomes are measured in the people who take part in the study. You will be given a sentence of a study report in which your task is to list the phrases that give information about the ... | proteinuria | task181_outcome_extraction | NIv2 | zs_opt | 6 | train |
instruction:
In medical studies, treatments are tested within a group of study participants. To determine if a new treatment works, various outcomes are measured in the people who take part in the study. You will be given a sentence of a study report in which your task is to list the phrases that give information about... | progression of albuminuria, clinical proteinuria
| task181_outcome_extraction | NIv2 | fs_opt | 9 | test |
In medical studies, treatments are tested within a group of study participants. To determine if a new treatment works, various outcomes are measured in the people who take part in the study. You will be given a sentence of a study report in which your task is to list the phrases that give information about the outcomes... | not found | task181_outcome_extraction | NIv2 | fs_opt | 3 | validation |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.