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Instructions: Given a sentence in Spanish, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
Input: A principios de 209, Sun Quan Sun se casó con la hermana menor de Quan, Lady Sun, para fortalecer la alianza entre él y Liu Bei.
Output... | Sun Quan은 209 세 이전에 Sun Quan의 여동생 인 Lady Sun과 결혼하여 Liu Bei와 동맹 관계를 강화했습니다. | task796_pawsx_spanish_korean_translation | NIv2 | zs_opt | 3 | train |
Teacher:Given a sentence in Spanish, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? Solve this instance: El programa se emitió simultáneamente en Fox8 en Australia, Sky TV en Nueva Zelanda y en ... | 쇼는 호주의 Fox8, 뉴질랜드의 Sky TV 및 남아프리카의 Channel O에서 동시에 방송되었습니다. | task796_pawsx_spanish_korean_translation | NIv2 | zs_opt | 6 | train |
Given a sentence in Spanish, provide an equivalent paraphrased translation in Korean 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 National Basketball Association.
Example solution: National Basketball Association의 1... | Solution: Kathy Rinaldi은 (는) Bonnie Gadusek의 공로였습니다. 6 - 1, 6 - 3. | task796_pawsx_spanish_korean_translation | NIv2 | fs_opt | 5 | train |
Given a sentence in Spanish, provide an equivalent paraphrased translation in Korean 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: National Basketball Associatio... | Gill 가족은 1968 년에 공장을 폐쇄하고 1980 년에 새로운 주인에게 판매했습니다. | task796_pawsx_spanish_korean_translation | NIv2 | fs_opt | 6 | train |
Detailed Instructions: Given a sentence in Spanish, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
Q: Hastings Ndlovu fue enterrado con Hector Pieterson en el cementerio Avalon en Johannesburgo.
A: | Hastings Ndlovu는 Hector Pieterson과 함께 Johannesburg의 Avalon 공동 묘지에 묻혔습니다. | task796_pawsx_spanish_korean_translation | NIv2 | zs_opt | 9 | train |
Definition: Given a sentence in Spanish, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
Input: Ella se sintió muy atraída por él e intentó seducirlo para tener una relación sexual, pero Hanuvant Singh era un pensamiento religioso y ... | 그녀는 그에게 크게 매료되어 그를 성적 관계로 유혹하려고했지만 Hanuvant Singh은 종교적인 생각으로 근친 상간을하지 않았습니다. | task796_pawsx_spanish_korean_translation | NIv2 | zs_opt | 2 | train |
Given a sentence in Spanish, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
Q: La gestión conjunta del memorial por parte de la Marina de los Estados Unidos y el Servicio de Parques Nacionales se fundó el 9 de septiembre de 1980.
A:... | 1980 년 9 월 9 일에 국립 공원 관리청과 미국 해군이 공동으로 기념관을 설치했습니다. | task796_pawsx_spanish_korean_translation | NIv2 | zs_opt | 4 | train |
Given a sentence in Spanish, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
Input: Consider Input: Los dos coches restantes fueron entregados por la liga de defensa de Estonia y se ordenaron en 1927.
Output: 나머지 두 대의 자동차는 에스토니아 방위... | Output: Alycia Moulton이 (가) Billie Jean King 주장을 차 넣었습니다. 6 - 0, 7 - 5.
| task796_pawsx_spanish_korean_translation | NIv2 | fs_opt | 2 | train |
Teacher: Given a sentence in Spanish, provide an equivalent paraphrased translation in Korean 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:
La temporada de la NBA de 1975: 76 fue la 30ª temporada... | 이 영화의 음악은 Vijaya Bhaskar와 Chi가 쓴 사운드 트랙의 가사로 구성되었습니다. Udaya Shankar 및 Vijaya Narasimha. | task796_pawsx_spanish_korean_translation | NIv2 | fs_opt | 2 | test |
Instructions: Given a sentence in Spanish, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
Input: La película fue filmada en el parque estatal Red Rock Canyon (California) en Cantil, California.
Output: | 이 영화는 캘리포니아 캔틸 (Cantil, California)의 캘리포니아 주 (레드 락 캐년 주립 공원)에서 촬영되었습니다. | task796_pawsx_spanish_korean_translation | NIv2 | zs_opt | 3 | validation |
Detailed Instructions: In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutra... | neutral | task524_parsinlu_food_aspect_classification | NIv2 | fs_opt | 4 | train |
Detailed Instructions: In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutra... | negative | task524_parsinlu_food_aspect_classification | NIv2 | zs_opt | 9 | train |
Part 1. Definition
In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", ... | no sentiment expressed | task524_parsinlu_food_aspect_classification | NIv2 | fs_opt | 7 | train |
Given the task definition and input, reply with output. In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentimen... | mixed | task524_parsinlu_food_aspect_classification | NIv2 | zs_opt | 5 | train |
In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "mi... | positive
| task524_parsinlu_food_aspect_classification | NIv2 | fs_opt | 5 | train |
Instructions: In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "posi... | positive | task524_parsinlu_food_aspect_classification | NIv2 | zs_opt | 3 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentime... | positive | task524_parsinlu_food_aspect_classification | NIv2 | zs_opt | 1 | train |
Detailed Instructions: In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutra... | negative | task524_parsinlu_food_aspect_classification | NIv2 | zs_opt | 8 | train |
In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "mi... | negative
| task524_parsinlu_food_aspect_classification | NIv2 | fs_opt | 3 | test |
Definition: In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positi... | positive | task524_parsinlu_food_aspect_classification | NIv2 | zs_opt | 2 | validation |
In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
Kerrigan... | B
| task329_gap_classification | NIv2 | fs_opt | 0 | train |
Detailed Instructions: In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed wit... | A | task329_gap_classification | NIv2 | fs_opt | 4 | train |
Q: In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
Laxman... | B | task329_gap_classification | NIv2 | zs_opt | 7 | train |
In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
One examp... | Neither | task329_gap_classification | NIv2 | fs_opt | 6 | train |
In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
Input: C... | Output: A
| task329_gap_classification | NIv2 | fs_opt | 2 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and optio... | A | task329_gap_classification | NIv2 | zs_opt | 1 | train |
In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
Input: C... | Output: A
| task329_gap_classification | NIv2 | fs_opt | 2 | train |
Detailed Instructions: In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed wit... | B | task329_gap_classification | NIv2 | zs_opt | 8 | train |
In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
Jim Farb... | B | task329_gap_classification | NIv2 | zs_opt | 0 | test |
Teacher:In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
T... | A | task329_gap_classification | NIv2 | zs_opt | 6 | validation |
Detailed Instructions: In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Q: After the hearing, the Director-General said that the Commission might have to draft a fresh version based on this new information, before it submits its f... | Генералният директор добави, че след изслушването може да се наложи Комисията да изготви нов вариант въз основа на новата информация, преди да предаде окончателния текст на съобщението. | task272_europarl_translation | NIv2 | zs_opt | 9 | train |
In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Q: Approval of motor vehicles and their trailers (vote)
A: | Рамка за одобрение на моторните превозни средства и техните ремаркета (вот) | task272_europarl_translation | NIv2 | zs_opt | 4 | train |
Instructions: In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Input: on behalf of the GUE/NGL Group. - (IT) Madam President, ladies and gentlemen, the dialogue on these measures - the pesticides directive and regulation - has bee... | Гжо Председател, госпожи и господа, диалогът за тези мерки - директивата за пестицидите и регламента - беше много труден. | task272_europarl_translation | NIv2 | zs_opt | 3 | train |
Teacher:In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Teacher: Now, understand the problem? Solve this instance: (SL) There are some alarming health trends which are largely due to the irresponsible use of pesticides.
Student: | (SL) Има някои обезпокоителни тенденции, свързани със здравето, които се дължат предимно на безотговорното използване на пестициди. | task272_europarl_translation | NIv2 | zs_opt | 6 | train |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Membership of Parliament: see Minutes
Solution: Състав на П... | Въпреки че това може да бъде възможност в някои много специфични случаи, ние не смятаме че това е пътят напред по-принцип. | task272_europarl_translation | NIv2 | fs_opt | 0 | train |
Definition: In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Input: Budget aid for developing countries (vote)
Output: | Бюджетна помощ за развиващите се страни (вот) | task272_europarl_translation | NIv2 | zs_opt | 2 | train |
Teacher:In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Teacher: Now, understand the problem? Solve this instance: Regional and cohesion policy aspects of the Lisbon Treaty (vote)
Student: | Аспекти на регионалната политика и политиката на сближаване в Договора от Лисабон (гласуване) | task272_europarl_translation | NIv2 | zs_opt | 6 | train |
Detailed Instructions: In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
See one example below:
Problem: Membership of Parliament: see Minutes
Solution: Състав на Парламента: вж. протоколи
Explanation: English sentence is converted... | Свързах се също така и със заместник-председателя на Евро-средиземноморската парламентарна асамблея, тъй като понастоящем аз съм председател на тази асамблея, с председателя на парламента на Йордания Abdel Hadi Al-Majali, с председателя на италианската Камара на депутатите Gianfranco Fini и с председателя на парламента... | task272_europarl_translation | 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 are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Greece's recent unrest is clearly linked to unemployment, resulting from an overvalued euro.
Output: | Доскорошните размирици в Гърция са очевидно свързани с безработицата в резултат на надцененото евро. | task272_europarl_translation | NIv2 | zs_opt | 1 | test |
Definition: In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Input: Parliament rightly insisted on legislation that would be effective and suitable for the task.
Output: | Парламентът справедливо настояваше за законодателство, което да бъде ефективно и подходящо за задачата. | task272_europarl_translation | NIv2 | zs_opt | 2 | validation |
Detailed Instructions: You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
See one example below:
Problem: Our friends won't buy this analysis, let alone the next one we propose.
S... | 0 | task1346_glue_cola_grammatical_correctness_classification | NIv2 | fs_opt | 4 | train |
Instructions: You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Input: Every boy named Mercury and Venus.
Output: | 1 | task1346_glue_cola_grammatical_correctness_classification | NIv2 | zs_opt | 3 | train |
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
One example is below.
Q: Our friends won't buy this analysis, let alone the next one we propose.
A: 1
Rationale: Since all the e... | 0 | task1346_glue_cola_grammatical_correctness_classification | NIv2 | fs_opt | 9 | train |
Part 1. Definition
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Part 2. Example
Our friends won't buy this analysis, let alone the next one we propose.
Answer: 1
Explanation... | 1 | task1346_glue_cola_grammatical_correctness_classification | NIv2 | fs_opt | 7 | train |
Teacher:You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Teacher: Now, understand the problem? Solve this instance: The more he reads, the more people I wonder what he will give... | 0 | task1346_glue_cola_grammatical_correctness_classification | NIv2 | zs_opt | 6 | train |
Teacher:You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Teacher: Now, understand the problem? Solve this instance: I think learning English is not easy at all.
Student: | 1 | task1346_glue_cola_grammatical_correctness_classification | NIv2 | zs_opt | 6 | train |
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
The crown sparkled with jewels. | 1 | task1346_glue_cola_grammatical_correctness_classification | NIv2 | zs_opt | 0 | train |
instruction:
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
question:
Time flies like an arrow.
answer:
1
question:
This map is what he wants.
answer:
1
question:
I have a... | 1
| task1346_glue_cola_grammatical_correctness_classification | NIv2 | fs_opt | 9 | 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 will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Our fr... | 1 | task1346_glue_cola_grammatical_correctness_classification | NIv2 | fs_opt | 0 | test |
Given the task definition and input, reply with output. You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Although I don't know which book Sam did, I do know which book Sally re... | 0 | task1346_glue_cola_grammatical_correctness_classification | NIv2 | zs_opt | 5 | validation |
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
چرا برای حذف اکانت تلگرام کد نمیده؟ <sep> چرا برای حذف اکانت تلگرام کد نمیاد؟ | paraphrase | task465_parsinlu_qqp_classification | NIv2 | zs_opt | 0 | train |
Given the task definition and input, reply with output. In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
خوردن چه چیزی باعث خونریزی زیاد در پریودی میشود؟ <sep>... | paraphrase | task465_parsinlu_qqp_classification | NIv2 | zs_opt | 5 | train |
Q: In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
چه چیزی بخوریم تا زود قاعده شویم؟ <sep> چه چیزی بخوریم تا زود پریود شویم؟
A: | paraphrase | task465_parsinlu_qqp_classification | NIv2 | zs_opt | 7 | train |
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
Input: Consider Input: چه تفاوتی بین رگ aorta و vena cava وجود دارد؟ <sep> چه زمانی قلب کودک شروع زدن می کند؟
... | Output: not-paraphrase
| task465_parsinlu_qqp_classification | NIv2 | fs_opt | 2 | train |
Detailed Instructions: In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
See one example below:
Problem: اگر Apple ID و ایمیل خود را فراموش کرده ام چه کاری می تو... | paraphrase | task465_parsinlu_qqp_classification | NIv2 | fs_opt | 4 | train |
Instructions: In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
Input: چند دانش آموز CL MOCK را می گیرند؟ <sep> تأثیر سودآوری در شادی یک هندی متوسط چیست؟
Output: | not-paraphrase | task465_parsinlu_qqp_classification | NIv2 | zs_opt | 3 | train |
Detailed Instructions: In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
Problem:کجا بودم کجا رفتم کجایم من نمیدانم؟ <sep> کلیپ تصویری من کجا باران کجا همایون شج... | not-paraphrase | task465_parsinlu_qqp_classification | NIv2 | zs_opt | 8 | train |
Detailed Instructions: In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
See one example below:
Problem: اگر Apple ID و ایمیل خود را فراموش کرده ام چه کاری می تو... | not-paraphrase | task465_parsinlu_qqp_classification | 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 sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-par... | not-paraphrase | task465_parsinlu_qqp_classification | NIv2 | fs_opt | 0 | test |
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
[EX Q]: چه چیزی باعث حرکت ماشین بادکنکی می شود؟ <sep> چه چیزی باعث حرکت سنگ کلیه می شود؟
[EX A]: not-paraphras... | not-paraphrase
| task465_parsinlu_qqp_classification | NIv2 | fs_opt | 6 | validation |
instruction:
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context.... | I am taking a sabbatical .
| task025_cosmosqa_incorrect_answer_generation | NIv2 | fs_opt | 9 | train |
Part 1. Definition
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the co... | He ran too much track the week before . | task025_cosmosqa_incorrect_answer_generation | NIv2 | fs_opt | 7 | train |
Definition: Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. ... | They feel they are not ready for the real world . | task025_cosmosqa_incorrect_answer_generation | NIv2 | zs_opt | 2 | train |
Given the task definition, example input & output, solve the new input case.
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can ... | Because the writer found out what Scientology is today . | task025_cosmosqa_incorrect_answer_generation | NIv2 | fs_opt | 1 | train |
Part 1. Definition
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the co... | Because the food was all over the place . | task025_cosmosqa_incorrect_answer_generation | NIv2 | fs_opt | 7 | train |
Detailed Instructions: Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to th... | They wanted to see the bridge . | task025_cosmosqa_incorrect_answer_generation | NIv2 | zs_opt | 9 | train |
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make ... | Solution: The liberal was being discriminated against . | task025_cosmosqa_incorrect_answer_generation | NIv2 | fs_opt | 5 | train |
You will be given a definition of a task first, then some input of the task.
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can ... | Relationship jitters . | task025_cosmosqa_incorrect_answer_generation | NIv2 | zs_opt | 1 | train |
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make ... | The narrator will look to engage the couple . | task025_cosmosqa_incorrect_answer_generation | NIv2 | zs_opt | 4 | test |
Instructions: Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context... | The narrator would have managed some staffing. | task025_cosmosqa_incorrect_answer_generation | NIv2 | zs_opt | 3 | validation |
Given a sentence, judge the quality of this sentence by indicating "Good" and "Bad". The quality depends on the grammar and the meaning of the sentence. If a sentence is easily understandable, and doesn't have grammatical errors, answer with "Good", otherwise answer with "Bad".
Example: Except for this small vocal mino... | Solution: Good | task1341_msr_text_classification | NIv2 | fs_opt | 5 | train |
Detailed Instructions: Given a sentence, judge the quality of this sentence by indicating "Good" and "Bad". The quality depends on the grammar and the meaning of the sentence. If a sentence is easily understandable, and doesn't have grammatical errors, answer with "Good", otherwise answer with "Bad".
Q: (Lewinsky Testi... | Bad | task1341_msr_text_classification | NIv2 | zs_opt | 9 | train |
Given a sentence, judge the quality of this sentence by indicating "Good" and "Bad". The quality depends on the grammar and the meaning of the sentence. If a sentence is easily understandable, and doesn't have grammatical errors, answer with "Good", otherwise answer with "Bad".
--------
Question: If my ire at forced pa... | Good
| task1341_msr_text_classification | NIv2 | fs_opt | 7 | train |
Given a sentence, judge the quality of this sentence by indicating "Good" and "Bad". The quality depends on the grammar and the meaning of the sentence. If a sentence is easily understandable, and doesn't have grammatical errors, answer with "Good", otherwise answer with "Bad".
HCFA states that the final rule will not... | Good
| task1341_msr_text_classification | NIv2 | fs_opt | 0 | train |
Given a sentence, judge the quality of this sentence by indicating "Good" and "Bad". The quality depends on the grammar and the meaning of the sentence. If a sentence is easily understandable, and doesn't have grammatical errors, answer with "Good", otherwise answer with "Bad".
[Q]: An armed Predator drone, intended t... | Good
| task1341_msr_text_classification | NIv2 | fs_opt | 5 | train |
Definition: Given a sentence, judge the quality of this sentence by indicating "Good" and "Bad". The quality depends on the grammar and the meaning of the sentence. If a sentence is easily understandable, and doesn't have grammatical errors, answer with "Good", otherwise answer with "Bad".
Input: HCFA states that the f... | Bad | task1341_msr_text_classification | NIv2 | zs_opt | 2 | train |
Given a sentence, judge the quality of this sentence by indicating "Good" and "Bad". The quality depends on the grammar and the meaning of the sentence. If a sentence is easily understandable, and doesn't have grammatical errors, answer with "Good", otherwise answer with "Bad".
Example Input: Nader has reasons why we ... | Good
| task1341_msr_text_classification | NIv2 | fs_opt | 3 | train |
Given a sentence, judge the quality of this sentence by indicating "Good" and "Bad". The quality depends on the grammar and the meaning of the sentence. If a sentence is easily understandable, and doesn't have grammatical errors, answer with "Good", otherwise answer with "Bad".
[EX Q]: Advocates also argue that intere... | Good
| task1341_msr_text_classification | NIv2 | fs_opt | 6 | train |
Given a sentence, judge the quality of this sentence by indicating "Good" and "Bad". The quality depends on the grammar and the meaning of the sentence. If a sentence is easily understandable, and doesn't have grammatical errors, answer with "Good", otherwise answer with "Bad".
Ex Input:
When children have a network o... | Bad
| task1341_msr_text_classification | NIv2 | fs_opt | 1 | test |
Q: Given a sentence, judge the quality of this sentence by indicating "Good" and "Bad". The quality depends on the grammar and the meaning of the sentence. If a sentence is easily understandable, and doesn't have grammatical errors, answer with "Good", otherwise answer with "Bad".
The conservation group says more than ... | Bad | task1341_msr_text_classification | NIv2 | zs_opt | 7 | validation |
There are 60 x 1 / 6 = 10 blue chips. There are 10 + 34 = 44 chips that are not green. Thus, 60 - 44 = 16 chips are green.
The answer: 16
Reverse engineering the question: There are 60 pieces of chips in Lara's bag. One-sixth of the chips are blue. There are 34 red chips and the rest are green. How many green chips are... | Honey earned $80 a day. Every day, she spent part of her pay and saved the rest. After 20 days of work, she spent $1360. How much did Honey save in 20 days? | cot_gsm8k_ii | CoT | fs_opt | 1 | train |
Come up with a question and reasoning that would justify this answer: 8 | The question is: Michelle is bringing sandwiches to work to give to her co-workers. She gives 4 sandwiches to one of her co-workers and keeps twice this amount for herself. If she had originally made 20 sandwiches, how many sandwiches does she have left to give to her other co-workers?
Step-by-step reasoning process: M... | cot_gsm8k_ii | CoT | zs_opt | 8 | train |
Come up with a question and stream of consciousness reasoning that would justify this answer: 50 | The question is: John buys 10 packs of magic cards. Each pack has 20 cards and 1/4 of those cards are uncommon. How many uncommon cards did he get?
Stream of consciousness: Each pack has 20 / 4 = 5 uncommons. So he got 10 * 5 = 50 uncommons.
| cot_gsm8k_ii | CoT | zs_opt | 16 | train |
Reasoning & answer: CoT: She can jump her rope 60 times a minute because 60 x 1 = 60. The album is 35 minutes long because 10 x 3.5 = 35. She will jump her rope 2100 times during the album because 35 x 60 = 2100.
The answer: 2100
Question: Lucy is listening to her favorite album while jumping rope. She can jump the rop... | A shipping boat's crew consisted of 17 sailors, with five inexperienced sailors. Each experienced sailor was paid 1/5 times more than the inexperienced sailors. If the inexperienced sailors were paid $10 per hour for a 60-hour workweek, calculate the total combined monthly earnings of the experienced sailors. | cot_gsm8k_ii | CoT | fs_opt | 5 | train |
First find how many MB are left to download: 880 MB - 310 MB = 570 MB. Then divide that number by the download speed to find the download time: 570 MB / 3 MB / minute = 190 minutes.is the reasoning for what question and answer pair? | Q: Mason is trying to download a 880 MB game to his phone. After downloading 310 MB, his Internet connection slows to 3 MB/minute. How many more minutes will it take him to download the game?
A: 190 | cot_gsm8k_ii | CoT | zs_opt | 7 | train |
If the first bus is 60% full, it has 60 / 100 * 150 = 90 passengers. The second bus is 70% full, meaning it has 70 / 100 * 150 = 105 passengers. The total number of people in the two buses is 105 + 90 = 195.
The answer: 195
Reverse engineering the question: Two buses leave a pick-up point station with 60% and 70% of ca... | Last year Jessica paid $1000 for rent, $200 for food, and $100 for car insurance each month. This year her rent goes up by 30%, food costs increase by 50%, and the cost of her car insurance triples because she was at fault in an accident. How much more does Jessica pay for her expenses over the whole year compared to l... | cot_gsm8k_ii | CoT | fs_opt | 1 | train |
Stream of consciousness rationale: If there are 50 spotted brown toads per acre, and this represents one - quarter of the brown toads, then there are 50 * 4 = 200 brown toads per acre. If for every 25 brown toads there is one green toad, then there are 200 / 25 = 8 green toads per acre.
The question and answer pair are... | Q: The central Texas countryside contains many toads that come out at night. For every green toad, there are 25 brown toads, and one-quarter of the brown toads are spotted. If there are 50 spotted brown toads per acre, how many green toads are there per acre?
A: 8 | cot_gsm8k_ii | CoT | zs_opt | 14 | train |
Alessia = 1.5 * 10 = 15 pounds. Alexei = 2.5 * 8 = 20 pounds. 15 + 20 = 35 pounds. Together they lost 35 pounds.
The answer: 35
Reverse engineering the question: Aleesia lost 1.5 pounds each week for 10 weeks. Alexei lost 2.5 pounds each week for 8 weeks. How many pounds did the two friends combine to lose?
Let's let ... | Jerry needs to shingle 3 roofs. Each roof is made of two slanted rectangular sides measuring 20 feet by 40 feet. If he needs 8 shingles to cover one square foot of roof, how many shingles does he need total? | cot_gsm8k_ii | CoT | fs_opt | 9 | train |
Come up with a question and reasoning that would justify this answer: 110
Question and rationale: The question is: James buys 5 packs of beef that are 4 pounds each. The price of beef is $5.50 per pound. How much did he pay?
Step-by-step reasoning process: He bought 5 * 4 = 20 pounds of beef. So he paid 20 * 5.5 = $110... | The question is: Gary has 30 grams of gold that cost $15 per gram. Anna has 50 grams of gold for the cost of $20 per gram. How much is the cost of their gold combined?
Step-by-step reasoning process: The cost of Gary’s gold is 30 * $15 = $450. The cost of Anna’s gold is 50 * $20 = $1000. The total cost of their gold is... | cot_gsm8k_ii | CoT | fs_opt | 2 | test |
Q: Tom and Tim both brought 4, six-sided dice to school. How many total sides are there?
A: 48
Explain how we arrive at this answer: | Explanation: There are 8 total dice because 4 plus 4 equals 8. There are 48 sides because 8 times six equals 48. | cot_gsm8k_ii | CoT | zs_opt | 4 | validation |
Given the task definition and input, reply with output. In this task you're given two statements in Hindi. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output either the word 'cause' or 'effect'.
कागजात अव्यवस्थित थे।
मैंने उन... | effect | task939_copa_hi_commonsense_cause_effect | NIv2 | zs_opt | 5 | train |
In this task you're given two statements in Hindi. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output either the word 'cause' or 'effect'.
कमरे से दुर्गंध आ रही थी।
मैंने अपनी नाक पर हाथ रखा। | effect | task939_copa_hi_commonsense_cause_effect | NIv2 | zs_opt | 0 | train |
Detailed Instructions: In this task you're given two statements in Hindi. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output either the word 'cause' or 'effect'.
Q: वह आदमी दांत के दर्द से जाग गया।
उन्होंने दंत चिकित्सक के साथ... | effect | task939_copa_hi_commonsense_cause_effect | NIv2 | zs_opt | 9 | train |
Teacher: In this task you're given two statements in Hindi. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output either the word 'cause' or 'effect'.
Teacher: Now, understand the problem? If you are still confused, see the followi... | cause | task939_copa_hi_commonsense_cause_effect | NIv2 | fs_opt | 2 | train |
In this task you're given two statements in Hindi. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output either the word 'cause' or 'effect'.
Let me give you an example: कंपनी ने पैसा खो दिया।
इसके कुछ उत्पादों का निर्माण दोषपूर... | cause | task939_copa_hi_commonsense_cause_effect | NIv2 | fs_opt | 8 | train |
Given the task definition, example input & output, solve the new input case.
In this task you're given two statements in Hindi. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output either the word 'cause' or 'effect'.
Example: कंप... | cause | task939_copa_hi_commonsense_cause_effect | NIv2 | fs_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.
In this task you're given two statements in Hindi. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output eithe... | effect | task939_copa_hi_commonsense_cause_effect | NIv2 | fs_opt | 0 | train |
In this task you're given two statements in Hindi. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output either the word 'cause' or 'effect'.
[Q]: आदमी की घड़ी टूट गई थी।
उसने एक अजनबी से समय मांगा।
[A]: effect
[Q]: महिला ने ए... | cause
| task939_copa_hi_commonsense_cause_effect | NIv2 | fs_opt | 5 | train |
instruction:
In this task you're given two statements in Hindi. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output either the word 'cause' or 'effect'.
question:
लड़के ने रेडियो को ट्यून किया।
स्टेशन स्थिर होकर आ रहा था।
answe... | effect
| task939_copa_hi_commonsense_cause_effect | NIv2 | fs_opt | 9 | test |
Definition: In this task you're given two statements in Hindi. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output either the word 'cause' or 'effect'.
Input: महिला जाग गई।
उसका पति खर्राटे ले रहा था।
Output: | cause | task939_copa_hi_commonsense_cause_effect | NIv2 | zs_opt | 2 | validation |
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