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Part 1. Definition
In this task you're given two statements in Gujarati. 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' .
Part 2. Example
સર્ફરે મોજાને પકડ્યો.
તરંગ તેને કિનારે લઈ ગયો.
Answer: effect
Explanation: The second statement is an effect of the first statement as the action of holding onto the board would effect in the wave pulling the surfer to the shore .
Part 3. Exercise
મારા પેન્ટ પરની કમરની પટ્ટી looseીલી હતી.
મેં બેલ્ટ લગાવ્યો.
Answer:
|
effect
|
task941_copa_gu_commonsense_cause_effect
|
NIv2
|
fs_opt
| 7
|
train
|
In this task you're given two statements in Gujarati. 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' .
One example is below.
Q: સર્ફરે મોજાને પકડ્યો.
તરંગ તેને કિનારે લઈ ગયો.
A: effect
Rationale: The second statement is an effect of the first statement as the action of holding onto the board would effect in the wave pulling the surfer to the shore .
Q: મારી ગાડી બાંધી હતી.
મેં ગેરકાયદેસર પાર્ક કરી.
A:
|
cause
|
task941_copa_gu_commonsense_cause_effect
|
NIv2
|
fs_opt
| 9
|
train
|
In this task you're given two statements in Gujarati. 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: સર્ફરે મોજાને પકડ્યો.
તરંગ તેને કિનારે લઈ ગયો.
The answer to this example can be: effect
Here is why: The second statement is an effect of the first statement as the action of holding onto the board would effect in the wave pulling the surfer to the shore .
OK. solve this:
પરિવાર તેમના કૂતરાને પશુચિકિત્સા પાસે લઈ ગયો.
કૂતરાએ તેના પંજાને ઇજા પહોંચાડી.
Answer:
|
cause
|
task941_copa_gu_commonsense_cause_effect
|
NIv2
|
fs_opt
| 8
|
train
|
Detailed Instructions: In this task you're given two statements in Gujarati. 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: મેં ફોન લટકાવ્યો.
ક calલરે મને વિદાય આપી.
A:
|
cause
|
task941_copa_gu_commonsense_cause_effect
|
NIv2
|
zs_opt
| 9
|
train
|
In this task you're given two statements in Gujarati. 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 Input: છોકરાને ઘરેલું લાગ્યું.
તે છાવણીમાં ગયો.
Example Output: cause
Example Input: મોટર સાયકલ સવાર થ્રોટલને વળી ગઈ.
મોટરસાઇકલ આગળ ધપાવી.
Example Output: effect
Example Input: મેં મારા સૂતા મિત્ર પર પાણી રેડ્યું.
મારો મિત્ર જાગ્યો.
Example Output:
|
effect
|
task941_copa_gu_commonsense_cause_effect
|
NIv2
|
fs_opt
| 3
|
train
|
Detailed Instructions: In this task you're given two statements in Gujarati. 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: ડ્રાઈવરે તેના હોર્નનું સન્માન કર્યું.
બીજી કાર તેની ગલીમાં ધસી ગઈ.
A:
|
cause
|
task941_copa_gu_commonsense_cause_effect
|
NIv2
|
zs_opt
| 9
|
train
|
In this task you're given two statements in Gujarati. 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: Consider Input: ગ્રાહકે વિચાર્યું કે સંભારણું વધુ પડ્યું હતું.
તેણે વેચનાર સાથે સોદો કર્યો.
Output: effect
Input: Consider Input: છોકરાએ રેડિયો આપ્યો.
સ્ટેટિક સ્ટેટિક સાથે આવી રહ્યું હતું.
Output: cause
Input: Consider Input: છોકરીએ ઇચ્છા કરી.
તેણે એક શૂટિંગ સ્ટાર જોયો.
|
Output: cause
|
task941_copa_gu_commonsense_cause_effect
|
NIv2
|
fs_opt
| 2
|
train
|
Definition: In this task you're given two statements in Gujarati. 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: ફોટો આલ્બમ્સ એટિકમાં ધૂળ એકત્રિત કરે છે.
તેઓ વર્ષો સુધી અસ્પૃશ્ય રહ્યા.
Output:
|
cause
|
task941_copa_gu_commonsense_cause_effect
|
NIv2
|
zs_opt
| 2
|
train
|
Detailed Instructions: In this task you're given two statements in Gujarati. 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: પક્ષી ઉડતું ન હતું.
તે તેની પાંખને ઇજા પહોંચાડી હતી.
A:
|
cause
|
task941_copa_gu_commonsense_cause_effect
|
NIv2
|
zs_opt
| 9
|
test
|
In this task you're given two statements in Gujarati. 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' .
Ex Input:
બાળકો છંટકાવમાં દોડી ગયા.
તેઓ ગરમ હતા.
Ex Output:
cause
Ex Input:
ખુરશી ત્રાસી ગઈ.
માણસે ખુરશીને તેના ડેસ્કની નજીકથી સ્કૂટ કરી.
Ex Output:
cause
Ex Input:
ડિટેક્ટીવે પોલીસ અધિકારીને પોતાનો બેજ લગાડ્યો.
પોલીસ અધિકારીએ ડિટેક્ટીવને ગુનાના સ્થળે પ્રવેશવા દીધો.
Ex Output:
|
effect
|
task941_copa_gu_commonsense_cause_effect
|
NIv2
|
fs_opt
| 1
|
validation
|
Given the task definition and input, reply with output. You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Paragraph: Less massive objects also have less gravity than more massive objects.
Question: The most massive objects have _____ gravity than less massive objects.
Choices: A)higher
B)lower
|
higher
|
task1731_quartz_question_answering
|
NIv2
|
zs_opt
| 5
|
train
|
Detailed Instructions: You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Q: Paragraph: Breast cancer is rare in teens but becomes more common as females get older.
Question: As people get older they generally become
Choices: A)healthier
B)less healthy
A:
|
less healthy
|
task1731_quartz_question_answering
|
NIv2
|
zs_opt
| 9
|
train
|
Detailed Instructions: You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Q: Paragraph: Thicker resistors offer less resistance than thinner resistors.
Question: Tony is laying cable that is 1 inch in diameter, while Rita lays cable that is 0.1 inches in diameter. Who's cable offers less resistance?
Choices: A)Tony
B)Rita
A:
|
Tony
|
task1731_quartz_question_answering
|
NIv2
|
zs_opt
| 9
|
train
|
Teacher:You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Teacher: Now, understand the problem? Solve this instance: Paragraph: The more curved the surface of a lens is, the more it refracts light.
Question: Dave was looking lenses for his new digital camera. He saw on the specifications that the more curved the lens is, the amount of light refracted
Choices: A)increases
B)decreases
Student:
|
increases
|
task1731_quartz_question_answering
|
NIv2
|
zs_opt
| 6
|
train
|
You will be given a definition of a task first, then some input of the task.
You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Paragraph: Bases have pH values above 7. The higher the pH value, the more strongly basic the substance.
Question: Christy is in lab measuring the pH values of some substances. The first substance she measures has a pH value of 9. The second substance has a pH value of 8. Compared to the first, the second substance can be said to be _____ basic.
Choices: A)less.
B)more
Output:
|
less.
|
task1731_quartz_question_answering
|
NIv2
|
zs_opt
| 1
|
train
|
Teacher: You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Teacher: Now, understand the problem? If you are still confused, see the following example:
Paragraph: Many of the worlds people live with water scarcity, and that percentage will increase as populations increase and climate changes.
Question: John's town used to have lots of water, back when there were only a few hundred people. However, now that the town holds several thousand people, the water availability is
Choices: A)scarce
B)plentiful
Solution: scarce
Reason: Based on the information given in the paragraph, population growth will make water more scarce, so that is the correct answer.
Now, solve this instance: Paragraph: At higher temperatures, particles of reactants have more energy, so they move faster. They are more likely to bump into one another and to collide with greater force.
Question: Katie is looking at particles of reactants, and is noting that they currently are moving very slowly, and that they seem to have a little energy. These particles are likely at a temperature that is
Choices: A)higher
B)lower
Student:
|
lower
|
task1731_quartz_question_answering
|
NIv2
|
fs_opt
| 2
|
train
|
Given the task definition and input, reply with output. You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Paragraph: For a given medium, sound has a slower speed at lower temperatures.
Question: If Jim turns the thermostat up in his room while listening to music, what will happen to the speed of the sound waves in the room?
Choices: A)they will speed up
B)they will slow down
|
they will speed up
|
task1731_quartz_question_answering
|
NIv2
|
zs_opt
| 5
|
train
|
Definition: You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Input: Paragraph: Greater use of oil and other fossil fuels causes more pollution.
Question: The oil rigs had an oil spill in the ocean, which caused _____ pollution.
Choices: A)less
B)more
Output:
|
more
|
task1731_quartz_question_answering
|
NIv2
|
zs_opt
| 2
|
train
|
Detailed Instructions: You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Problem:Paragraph: Increasing the number of resistors in a series circuit increases the overall resistance of the circuit.
Question: When we are building a computer if we want to add resistance we need
Choices: A)more resistors
B)fewer resistors
Solution:
|
more resistors
|
task1731_quartz_question_answering
|
NIv2
|
zs_opt
| 8
|
test
|
You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
[EX Q]: Paragraph: In erosion, a slower moving stream will only carry smaller particles.
Question: A slow moving stream is capable of carrying _____ particles than a fast moving stream.
Choices: A)larger
B)smaller
[EX A]: smaller
[EX Q]: Paragraph: However, the melanocytes of people with darker skin produce more melanin.
Question: Eric has dark skin and Rita has light skin. Who produces more melanin?
Choices: A)Eric
B)Rita
[EX A]: Eric
[EX Q]: Paragraph: Water becomes more dense when it is colder and when it has more salt.
Question: When water freezes into ice it becomes
Choices: A)less dense.
B)more dense
[EX A]:
|
more dense
|
task1731_quartz_question_answering
|
NIv2
|
fs_opt
| 6
|
validation
|
Detailed Instructions: Given a sentence in French, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.
Problem:Le département d'art dramatique et d'art public était à l'origine dirigé par T. Earl Pardoe.
Solution:
|
戏剧和公共艺术部门最初由T. Earl Pardoe领导。
|
task793_pawsx_french_chinese_translation
|
NIv2
|
zs_opt
| 8
|
train
|
Given a sentence in French, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.
One example is below.
Q: La saison NBA 1975 - 76 était la 30e saison de la National Basketball Association.
A: 1975-76赛季的全国篮球协会是NBA的第30个赛季。
Rationale: This is a correct and accurate translation from French to Chinese because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.
Q: Après son licenciement, il a quitté l'Allemagne pour le Nouveau-Mexique, puis pour Los Angeles, puis pour San Francisco.
A:
|
出院后，他从德国搬到新墨西哥州，然后到洛杉矶，然后到旧金山。
|
task793_pawsx_french_chinese_translation
|
NIv2
|
fs_opt
| 9
|
train
|
Given a sentence in French, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.
Q: En août 1927, Mao met fin à son mariage avec Yang. et au début de 1928, il entame une relation avec He Zizhen.
A: 1927年8月，毛泽东结束了与杨的婚姻，并于1928年初与何子珍建立了关系。
****
Q: En 1951, il est décédé et a pris sa retraite en 1956.
A: 他于1951年去世，并于1956年退休。
****
Q: En février 2016, Souray a épousé l'ancienne lutteuse professionnelle de la WWE, Barbara Blank, plus connue sous le nom de Kelly Kelly, qui s'est séparée en octobre 2017.
A:
|
Souray与前WWE职业摔跤手Barbara Blank结婚，后者于2016年2月被称为Kelly Kelly。他们已于2017年10月分居。
****
|
task793_pawsx_french_chinese_translation
|
NIv2
|
fs_opt
| 4
|
train
|
Given a sentence in French, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.
Example input: La saison NBA 1975 - 76 était la 30e saison de la National Basketball Association.
Example output: 1975-76赛季的全国篮球协会是NBA的第30个赛季。
Example explanation: This is a correct and accurate translation from French to Chinese because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.
Q: Il a quitté le Janata Dal (United) et est entré au parti Bharatiya Janata en février 2008.
A:
|
他离开了Janata Dal（联合）并于2008年2月加入了Bharatiya Janata党。
|
task793_pawsx_french_chinese_translation
|
NIv2
|
fs_opt
| 3
|
train
|
Detailed Instructions: Given a sentence in French, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.
See one example below:
Problem: La saison NBA 1975 - 76 était la 30e saison de la National Basketball Association.
Solution: 1975-76赛季的全国篮球协会是NBA的第30个赛季。
Explanation: This is a correct and accurate translation from French to Chinese because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.
Problem: Contempo Magazine est un magazine américain mensuel imprimé et quotidien en ligne publié à McAllen, au Texas.
Solution:
|
Contempo Magazine是德克萨斯州麦卡伦的月度美国印刷和在线杂志。
|
task793_pawsx_french_chinese_translation
|
NIv2
|
fs_opt
| 4
|
train
|
instruction:
Given a sentence in French, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.
question:
Owen pensait que sa communauté utopique créerait un "environnement social" basé sur ses idéaux de réforme sociale, intellectuelle et physique supérieure.
answer:
欧文认为，他的乌托邦社区将建立一个“社会环境，基于他的优越社会，智力和身体改革的理想。
question:
(Don Wyatt avait été dans les pingouins en 1956, et Eddie et Ray avaient été avec Ray dans les derniers Colts / Fortunes.)
answer:
（Don Wyatt于1956年进入企鹅队，Eddie和Ray都曾与Ray一起参加过Colts / Fortunes。）
question:
L'église italienne St. Giovanni Bosco est nommée d'après St. John Bosco.
answer:
|
意大利St. Giovanni Bosco教堂以St. John Bosco命名。
|
task793_pawsx_french_chinese_translation
|
NIv2
|
fs_opt
| 9
|
train
|
Teacher:Given a sentence in French, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.
Teacher: Now, understand the problem? Solve this instance: Neptunea alexeyevi est une espèce d'escargot de mer, un véritable mollusque gastéropode de la famille des Buccinidae, la marine des bulots.
Student:
|
海王星（Neptunea alexeyevi）是一种海洋蜗牛，是一种真正的腹足动物软体动物，在海洋崽（Buccinidae）中。
|
task793_pawsx_french_chinese_translation
|
NIv2
|
zs_opt
| 6
|
train
|
Given a sentence in French, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.
Le fils de Olin M. Jeffords, ancien juge en chef de la Cour suprême du Vermont, est né James Jeffords, à Rutland, dans le Vermont.
作为佛蒙特州最高法院首席大法官的Olin M. Jeffords的儿子，James Jeffords出生于佛蒙特州的拉特兰。
Kathryn Lindskoog, une universitaire indépendante de Lewis, a fait valoir que les recherches de Hooper n'étaient pas fiables et qu'il avait fait de fausses déclarations et attribué des œuvres falsifiées à Lewis.
独立的刘易斯学者凯瑟琳·林德斯科格（Kathryn Lindskoog）辩称，胡珀的奖学金并不可靠，而且他做出了错误的陈述并归咎于虚假作品。
La plupart des séries antérieures à 1976 produites par CBS ou distribuées par CBS Films ont ensuite été distribuées par Viacom et Paramount Television.
|
CSBS在1976年之前制作或由CBS电影发行的大部分剧集后来由维亚康姆和派拉蒙电视台发行。
|
task793_pawsx_french_chinese_translation
|
NIv2
|
fs_opt
| 0
|
train
|
Part 1. Definition
Given a sentence in French, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.
Part 2. Example
La saison NBA 1975 - 76 était la 30e saison de la National Basketball Association.
Answer: 1975-76赛季的全国篮球协会是NBA的第30个赛季。
Explanation: This is a correct and accurate translation from French to Chinese because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.
Part 3. Exercise
La maison fut achetée en 1858 par Sir David Dundas de Dunira, qui la vendit à George Dewhurst de Lymm, dans le Cheshire, en 1864.
Answer:
|
这座房子于1858年由Dunira的David Dundas爵士购买，并于1864年将其卖给了Cheshire Lymm的George Dewhurst。
|
task793_pawsx_french_chinese_translation
|
NIv2
|
fs_opt
| 7
|
test
|
Q: Given a sentence in French, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.
Ces compagnies aériennes relient plus de 80 villes à travers l'Inde et exploitent également des liaisons outre-mer après la libéralisation de l'aviation indienne.
A:
|
这些航空公司连接印度80多个城市，并在印度航空自由化后运营海外航线。
|
task793_pawsx_french_chinese_translation
|
NIv2
|
zs_opt
| 7
|
validation
|
You will be given a definition of a task first, then some input of the task.
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review you need to predict whether the language of the review is english or non-english
I won't have to replace my lantern glass again any time soon.
Output:
|
english
|
task1576_amazon_reviews_multi_english_language_classification
|
NIv2
|
zs_opt
| 1
|
train
|
Teacher: In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review you need to predict whether the language of the review is english or non-english
Teacher: Now, understand the problem? If you are still confused, see the following example:
my first order of this product and it was broke
Solution: english
Reason: This is a good example because review is in english language and output is english
Now, solve this instance: 鞋子有质量问题，售后态度真不是一般差，客服说话很不客气。反映质量问题后也不主动让我拍照发到邮箱，反倒 我主动要求发照片。寄到国外要垫付200多运费，不退货退20%货款，如果不是老公觉得退货要二十几天这么 麻烦，我不可能花三百多买这么个残次品。
Student:
|
non-english
|
task1576_amazon_reviews_multi_english_language_classification
|
NIv2
|
fs_opt
| 2
|
train
|
Part 1. Definition
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review you need to predict whether the language of the review is english or non-english
Part 2. Example
my first order of this product and it was broke
Answer: english
Explanation: This is a good example because review is in english language and output is english
Part 3. Exercise
Beautiful way. Does not stay paired with or connected to my daughter’s iPhone. Essentially useless other that to tell time.
Answer:
|
english
|
task1576_amazon_reviews_multi_english_language_classification
|
NIv2
|
fs_opt
| 7
|
train
|
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review you need to predict whether the language of the review is english or non-english
--------
Question: the cabinet dot were all detached from backing...got me
Answer: english
Question: Poor quality. The material was fuzzy from day one. It got discolored in less than a month, even though we kept it outdoors under a covered porch. I returned this item.
Answer: english
Question: Beautiful way. Does not stay paired with or connected to my daughter’s iPhone. Essentially useless other that to tell time.
Answer:
|
english
|
task1576_amazon_reviews_multi_english_language_classification
|
NIv2
|
fs_opt
| 7
|
train
|
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review you need to predict whether the language of the review is english or non-english
Q: This watch band is the best I have yet! Was very easy to adjust although it did look intimidating. Great quality and look great!
A: english
****
Q: Used it for Spectra with high mileage, now it's shifting better
A: english
****
Q: 收到的包装破损，书上有污泥，提交退货好几天了，至今不退款且不见卖家联系！
A:
|
non-english
****
|
task1576_amazon_reviews_multi_english_language_classification
|
NIv2
|
fs_opt
| 4
|
train
|
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review you need to predict whether the language of the review is english or non-english
Q: Doesn’t work and tried contacting via email based off of the card that came with the item. Email does not work.
A:
|
english
|
task1576_amazon_reviews_multi_english_language_classification
|
NIv2
|
zs_opt
| 4
|
train
|
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review you need to predict whether the language of the review is english or non-english
Ex Input:
Qualité très mauvaise. Après quelques semaines d'utilisation il était déjà cassé (sans l'avoir fait tomber) et il ne protège absolument pas le téléphone.
Ex Output:
non-english
Ex Input:
字太小啦，建议买别的版本，慎买呀，亲们，我后悔买了这个版本！！！
Ex Output:
non-english
Ex Input:
Absolutely horrible. Fingerprints, face prints, smudgy and impossible to use in sunlight! Literally cannot see screen. Want my money back, and going to go find the one i used before!
Ex Output:
|
english
|
task1576_amazon_reviews_multi_english_language_classification
|
NIv2
|
fs_opt
| 1
|
train
|
Given the task definition, example input & output, solve the new input case.
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review you need to predict whether the language of the review is english or non-english
Example: my first order of this product and it was broke
Output: english
This is a good example because review is in english language and output is english
New input case for you: loved it. Reasonable price with quality.
Output:
|
english
|
task1576_amazon_reviews_multi_english_language_classification
|
NIv2
|
fs_opt
| 1
|
train
|
Detailed Instructions: In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review you need to predict whether the language of the review is english or non-english
Q: A great way to start new friends. A gift for my nephew, he liked it.
A:
|
english
|
task1576_amazon_reviews_multi_english_language_classification
|
NIv2
|
zs_opt
| 9
|
test
|
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review you need to predict whether the language of the review is english or non-english
Q: 全く、フリード 専用ではありません。 曲率は合ってなく、突起部分はドアノブに干渉。 買って後悔しました。真剣に設計を見直してください。このままでは詐欺ですよ！
A:
|
non-english
|
task1576_amazon_reviews_multi_english_language_classification
|
NIv2
|
zs_opt
| 4
|
validation
|
Detailed Instructions: From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Q: Given Relationship: 'be ally of', Sentence: 'As an ally to Saddam Hussein against Iran in the 1980s , the United States helped Iraq obtain arms , turning a blind eye to products which could be , and were , used for chemical warfare .'
A:
|
ally
|
task678_ollie_actual_relationship_answer_generation
|
NIv2
|
zs_opt
| 9
|
train
|
Teacher:From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Teacher: Now, understand the problem? Solve this instance: Given Relationship: 'win', Sentence: 'The Boston Red Sox Sports Odds of winning the 2009 World Series are currently fourth best in baseball , at +800 .'
Student:
|
in
|
task678_ollie_actual_relationship_answer_generation
|
NIv2
|
zs_opt
| 6
|
train
|
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Example input: Given Relationship: 'make', Sentence: 'Jenny made the announcement that her baby was an alien.'
Example output: made
Example explanation: The output relationship - made, is a correct verb form of the given relationship - make, and it is also used in the given sentence
Q: Given Relationship: 'meet in', Sentence: 'IMA IFAC Monitoring and Compliance Advisory Committee had its initial meeting in Washington , D.C. on August 5 , 2006 .'
A:
|
meeting
|
task678_ollie_actual_relationship_answer_generation
|
NIv2
|
fs_opt
| 3
|
train
|
Definition: From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Input: Given Relationship: 'be fund by', Sentence: 'The SCALE project is funded by the National Science Foundation .'
Output:
|
funded
|
task678_ollie_actual_relationship_answer_generation
|
NIv2
|
zs_opt
| 2
|
train
|
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Q: Given Relationship: 'be fill by', Sentence: 'A Vacancy in the office of President shall be filled by the Vice .'
A: filled
****
Q: Given Relationship: 'run', Sentence: 'In Part 3 , we had just gotten our port of ColdFusion MX Linux to run on the Mac .'
A: run
****
Q: Given Relationship: 'control', Sentence: 'The Democrats took control of the House of Representatives on election night , but that wasn the victory I was looking for .'
A:
|
control
****
|
task678_ollie_actual_relationship_answer_generation
|
NIv2
|
fs_opt
| 4
|
train
|
You will be given a definition of a task first, then some input of the task.
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Given Relationship: 'operate in', Sentence: 'The Group operates solely within Australia .'
Output:
|
operates
|
task678_ollie_actual_relationship_answer_generation
|
NIv2
|
zs_opt
| 1
|
train
|
You will be given a definition of a task first, then some input of the task.
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Given Relationship: 'beat', Sentence: 'I am anxious to get out there and do whatever I can to make sure Obama beats McCain this November .'
Output:
|
beats
|
task678_ollie_actual_relationship_answer_generation
|
NIv2
|
zs_opt
| 1
|
train
|
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Example Input: Given Relationship: 'follow in', Sentence: 'Entombment will follow in Blue Ridge Memorial Gardens Chapel of Peace , Beckley .'
Example Output: follow
Example Input: Given Relationship: 'be region of', Sentence: 'Murcia is a region of Spain .'
Example Output: region
Example Input: Given Relationship: 'be state of', Sentence: 'Marathi is a language spoken in India in the state of Maharashtra , located on the western coast of the country .'
Example Output:
|
state
|
task678_ollie_actual_relationship_answer_generation
|
NIv2
|
fs_opt
| 3
|
train
|
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
[EX Q]: Given Relationship: 'be messenger of', Sentence: 'Who is Jesus - Messenger of God or Word of God ?'
[EX A]: Messenger
[EX Q]: Given Relationship: 'beat', Sentence: 'Obama beat Clinton not because the loony left supported him .'
[EX A]: beat
[EX Q]: Given Relationship: 'build', Sentence: 'In the spring of 1441 B.C.E. , which is 480 years before King Solomon began to build the First Temple in Jerusalem ( 1 .'
[EX A]:
|
build
|
task678_ollie_actual_relationship_answer_generation
|
NIv2
|
fs_opt
| 6
|
test
|
Teacher:From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Teacher: Now, understand the problem? Solve this instance: Given Relationship: 'win', Sentence: 'The SNP are also riding high in the polls and won the Labour stronghold of Glasgow East last month . ''
Student:
|
in
|
task678_ollie_actual_relationship_answer_generation
|
NIv2
|
zs_opt
| 6
|
validation
|
You will be given a definition of a task first, then some input of the task.
You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: મહેસૂલી તલાટી કે રેવન્યુ તલાટી એ ગુજરાત સરકારનાં ગ્રામીણ ભાગોમાં વહિવટી સ્થાન છે. આંધ્ર પ્રદેશ, <MASK>, બંગાળ, ઉત્તર ભારત અને પાકિસ્તાનમાં આ ઓફિસ અને કર્મચારીએ પટવારી કહેવાય છે. તમિલનાડુમાં આ કર્મચારીને કર્ણમ તરીકે ઓળખવામાં આવે છે. આ કર્મચારી પહેલા તલાટી-કમ-મંત્રી તરીકે જાણીતા હતા, પરંતુ ૨૦૧૧ એપ્રિલ, ગુજરાત સરકારે નવી કેડર રેવન્યુ તલાટી નામે બનાવી છે. મહેસૂલી તલાટી અને ગ્રામ પંચાયત મંત્રી હવે બંને અલગ અલગ સ્થાન છે. તલાટી-કમ-મંત્રી હવે પંચાયત મંત્રી તરીકે ઓળખાશે. પંચાયત મંત્રી પંચાયત હેઠળ છે અને મહેસૂલ તલાટી મહેસૂલ વિભાગ હેઠળ છે. રેવન્યુ તલાટી મામલતદાર કચેરીના કર્મચારી છે, જેની નિમણુંક કલેક્ટર દ્વારા કરવામાં આવે છે.
Option A: કર્ણાટક
Option B: તમિલનાડુની
Option C: પાકિસ્તાન
Option D: તમિલનાડુ
Output:
|
કર્ણાટક
|
task946_wiki_cloze_gu_multiple_choice_question_answering
|
NIv2
|
zs_opt
| 1
|
train
|
You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: રાજપુરીયા (તા. અમીરગઢ) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના ઉત્તર ભાગમાં આવેલા બનાસકાંઠા જિલ્લામાં અમીરગઢ તાલુકાનું એકગામ છે. રાજપુરીયા ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે ઘઉં, જીરુ, વરિયાળી, બાજરી, કપાસ, દિવેલા, રજકો તેમ જ અન્ય શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: આંગણવાડી
Option B: પંચાયતઘર
Option C: ભારત
Option D: ભારતી
|
ભારત
|
task946_wiki_cloze_gu_multiple_choice_question_answering
|
NIv2
|
zs_opt
| 0
|
train
|
You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Ex Input:
Statement: નાની વાંટ (તા.બોડેલી) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્ય ભાગમાં આવેલા છોટાઉદેપુર જિલ્લામાં આવેલા કુલ ૬ (છ) તાલુકાઓ પૈકીના એક એવા બોડેલી તાલુકામાં આવેલું એક ગામ છે. નાની વાંટ ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે મકાઈ, બાજરી, તુવર તેમ જ શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: પંચાયતઘર
Option B: આંગણવાડી
Option C: ભારત
Option D: કામરુપ
Ex Output:
ભારત
Ex Input:
Statement: તેમનો જન્મ <MASK>માં થયો હતો. તેમણે પ્રાથમિક-માધ્યમિક શિક્ષણ અનુક્રમે ગોંડલ અને મોરબીમાં લીધું હતું. તેમણે ૧૯૬૪માં એચ.કે.આર્ટસ કૉલેજ, અમદાવાદથી ગુજરાતી અને સંસ્કૃત વિષયો સાથે વિનયનના સ્નાતક (બેચલર ઓફ આર્ટસ)ની પદવી મેળવી હતી.
Option A: અમદાવાદ
Option B: હિંમતનગર
Option C: મોરબી
Option D: ગોંડલ
Ex Output:
ગોંડલ
Ex Input:
Statement: મોટી સાધલી <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્ય ભાગમાં આવેલા છોટાઉદેપુર જિલ્લામાં આવેલા છોટાઉદેપુર તાલુકામાં આવેલું એક ગામ છે. મોટી સાધલી ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે મકાઈ, તુવર તેમ જ શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: પંચાયતઘર
Option B: એક્વાડોર
Option C: આંગણવાડી
Option D: ભારત
Ex Output:
|
ભારત
|
task946_wiki_cloze_gu_multiple_choice_question_answering
|
NIv2
|
fs_opt
| 1
|
train
|
You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Let me give you an example: Statement: માલ (તા. છોટાઉદેપુર) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્ય ભાગમાં આવેલા છોટાઉદેપુર જિલ્લામાં આવેલા છોટાઉદેપુર તાલુકામાં આવેલું એક ગામ છે. માલ ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે મકાઈ, તુવર તેમ જ શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: આંગણવાડી
Option B: પંચાયતઘર
Option C: ભારત
Option D: કોલંબિયા
The answer to this example can be: ભારત
Here is why: The most suitable word from the given options to replace the <MASK> token is 'ભારત' , as the village mentioned is located in India .
OK. solve this:
Statement: ગિરનાર અભયારણ્ય <MASK> તાલુકામાં ભવનાથમાં આવેલ છે. ગિરનાર પર્વતમાળામાં આવેલ આ અભયારણ્યમાં મુખ્યત્વે વાંદરા, હરણ, સેમર(રોઝ), જંગલી ભૂંડ, દીપડા, સિંહ જેવા રાની પ્રાણીઓ વસવાટ કરે છે. આ ઉપરાંત અહીં વિવિધ પ્રકારનાં અસંખ્ય વૃક્ષોની પ્રજાતિ જોવા મળે છે.
Option A: વાઘપાણી
Option B: જૂનાગઢ
Option C: ગિરનાર
Option D: ભવનાથ
Answer:
|
જૂનાગઢ
|
task946_wiki_cloze_gu_multiple_choice_question_answering
|
NIv2
|
fs_opt
| 8
|
train
|
Given the task definition, example input & output, solve the new input case.
You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Example: Statement: માલ (તા. છોટાઉદેપુર) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્ય ભાગમાં આવેલા છોટાઉદેપુર જિલ્લામાં આવેલા છોટાઉદેપુર તાલુકામાં આવેલું એક ગામ છે. માલ ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે મકાઈ, તુવર તેમ જ શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: આંગણવાડી
Option B: પંચાયતઘર
Option C: ભારત
Option D: કોલંબિયા
Output: ભારત
The most suitable word from the given options to replace the <MASK> token is 'ભારત' , as the village mentioned is located in India .
New input case for you: Statement: <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના સૌરાષ્ટ્ર વિસ્તારમાં આવેલા ભાવનગર જિલ્લામાં આવેલા કુલ ૧૦ (દસ) તાલુકાઓ પૈકીના એક એવા વલ્લભીપુર તાલુકામાં આવેલું એક ગામ છે. આ ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે ઘઉં, જીરુ, મગફળી, તલ, બાજરી, ચણા, કપાસ, દિવેલા, રજકો તેમ જ અન્ય શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: ગુજરાત
Option B: પંચાયતઘર
Option C: ભારત
Option D: આંગણવાડી
Output:
|
ભારત
|
task946_wiki_cloze_gu_multiple_choice_question_answering
|
NIv2
|
fs_opt
| 1
|
train
|
You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Example input: Statement: માલ (તા. છોટાઉદેપુર) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્ય ભાગમાં આવેલા છોટાઉદેપુર જિલ્લામાં આવેલા છોટાઉદેપુર તાલુકામાં આવેલું એક ગામ છે. માલ ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે મકાઈ, તુવર તેમ જ શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: આંગણવાડી
Option B: પંચાયતઘર
Option C: ભારત
Option D: કોલંબિયા
Example output: ભારત
Example explanation: The most suitable word from the given options to replace the <MASK> token is 'ભારત' , as the village mentioned is located in India .
Q: Statement: કાંસવાળા નેસ એ <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના ગીર સોમનાથ જિલ્લાના ઉના તાલુકામાં આવેલું ગામ છે. આ ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. ગામમાં મુખ્યત્વે ઘઉં, બાજરો, કપાસ, મગફળી, શેરડી, રજકો તેમ જ અન્ય શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: આંગણવાડી
Option B: ભારત
Option C: પંચાયતઘર
Option D: ગુજરાત
A:
|
ભારત
|
task946_wiki_cloze_gu_multiple_choice_question_answering
|
NIv2
|
fs_opt
| 3
|
train
|
TASK DEFINITION: You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
PROBLEM: Statement: કાજલી ભારત દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના દક્ષિણ ભાગમાં આવેલા વલસાડ જિલ્લામાં આવેલા અને મહારાષ્ટ્ર રાજ્યને અડીને આવેલા એવા કપરાડા તાલુકામાં આવેલું એક ગામ છે. આ ગામમાં પ્રાથમિક શાળા તેમ જ આંગણવાડીની સગવડ પ્રાપ્ય છે. કાજલી ગામમાં ૧૦૦ ટકા આદિવાસી લોકો વસે છે. આ ગામ જંગલોથી ભરપૂર ડુંગરાળ પ્રદેશમાં આવેલું છે. અંહીના લોકોનો મુખ્ય વ્યવસાય ખેતી અને પશુપાલન છે. અંહી નાગલી, <MASK>, વરાઇ જેવાં ધાન્યો પાકે છે. અંહીના લોકો કુકણા બોલી બોલે છે, જે ગુજરાતી ભાષાથી એકદમ અલગ હોય છે.
Option A: ડાંગર
Option B: ચઢાવ
Option C: સુરત
Option D: મુંબઇ
SOLUTION: ડાંગર
PROBLEM: Statement: ટાકાકુવા (તા. ભિલોડા) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના ઉત્તર પૂર્વ ભાગમાં આવેલા અરવલ્લી જિલ્લામાં આવેલા કુલ ૬ (છ) તાલુકાઓ પૈકીના એક એવા ભિલોડા તાલુકામાં આવેલું એક ગામ છે. ટાકાકુવા ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે ઘઉં, જીરુ, બાજરી, કપાસ, દિવેલી તેમ જ શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: આંગણવાડી
Option B: વાઘેલા
Option C: પંચાયતઘર
Option D: ભારત
SOLUTION: ભારત
PROBLEM: Statement: વર્તમાન સમયમાં સમરોલી ગામ તાલુકા મથક <MASK>નો જ એક ભાગ બની ગયું છે, આથી અહીં શોપિંગ સેન્ટર તેમ જ રહેઠાણ માટેની સોસાયટીઓ બનવા લાગી છે.
Option A: બધારપુરી
Option B: બીલીમોરા
Option C: સુરત
Option D: ચિખલી
SOLUTION:
|
ચિખલી
|
task946_wiki_cloze_gu_multiple_choice_question_answering
|
NIv2
|
fs_opt
| 8
|
train
|
Detailed Instructions: You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Q: Statement: સાદરા (તા. શહેરા) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્યપૂર્વ ભાગમાં આવેલા મુખ્યત્વે આદિવાસીઓની વસ્તી ધરાવતા પંચમહાલ જિલ્લામાં આવેલા કુલ ૭ (સાત) તાલુકાઓ પૈકીના એક એવા શહેરા તાલુકામાં આવેલું એક ગામ છે. સાદરા ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે મકાઈ, બાજરી, તુવર તેમ જ શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: તૂર્કી
Option B: ભારત
Option C: આંગણવાડી
Option D: પંચાયતઘર
A:
|
ભારત
|
task946_wiki_cloze_gu_multiple_choice_question_answering
|
NIv2
|
zs_opt
| 9
|
train
|
Q: You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: સોરોસ બજારમાં ભાગ લેનારા એક સહભાગી અને બજારમાં ભાગ લેનારાઓએ જેને અનુસરવા જ પડે તેવા નિયમો બદલવા માટે કામ કરનાર વચ્ચે એક ભેદરેખા દોર્યાનો દાવો કરે છે. જુલાઈ 1981થી ઑકટોબર 2003, સુધી <MASK>ના વડાપ્રધાન રહેલા મહાથિર બિન મહોમ્મદ અનુસાર, સોરોસ કવોન્ટમ હેજ ફંડના વડા તરીકે, જેમાં થાઈ ચલણને યુએસ ડૉલર સામે છોડી દેવું પડ્યું હતું, તે પૂર્વ એશિયાઈ બજારોના 1997ના આર્થિક પતન માટે કદાચ અંશતઃ જવાબદાર હતા. મહાથિર અનુસાર, પતન તરફના ત્રણ વર્ષો દરમ્યાન, સોરોસે પૂર્વ એશિયાઈ શેરબજારો અને રીયલ એસ્ટેટમાં ટૂંકા-ગાળાનું જોખમી રોકાણ કર્યું હતું, અને પછી ચલણના અવમૂલ્યનનો પહેલો સંકેત મળતા "અનુચિત ત્વરાથી" રોકાણ કાઢી લીધું હતું.
Option A: હંગેરી
Option B: મલેશિયા
Option C: તુર્કી
Option D: બુડાપેસ્ટ
A:
|
મલેશિયા
|
task946_wiki_cloze_gu_multiple_choice_question_answering
|
NIv2
|
zs_opt
| 7
|
test
|
You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
One example is below.
Q: Statement: માલ (તા. છોટાઉદેપુર) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્ય ભાગમાં આવેલા છોટાઉદેપુર જિલ્લામાં આવેલા છોટાઉદેપુર તાલુકામાં આવેલું એક ગામ છે. માલ ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે મકાઈ, તુવર તેમ જ શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: આંગણવાડી
Option B: પંચાયતઘર
Option C: ભારત
Option D: કોલંબિયા
A: ભારત
Rationale: The most suitable word from the given options to replace the <MASK> token is 'ભારત' , as the village mentioned is located in India .
Q: Statement: સુનક <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના ઉત્તર ભાગમાં આવેલા મહેસાણા જિલ્લાના ઉંઝા તાલુકામાં આવેલું એક ગામ છે. આ ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે ડાંગર, બાજરી, તમાકુ, બટાટા, શક્કરીયાં તેમ જ અન્ય શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: આંગણવાડી
Option B: ભારત
Option C: પંચાયતઘર
Option D: ગુજરાત
A:
|
ભારત
|
task946_wiki_cloze_gu_multiple_choice_question_answering
|
NIv2
|
fs_opt
| 9
|
validation
|
Given a sentence in Chinese, provide an equivalent paraphrased version from the original that retains the same meaning.
英厄姆写道，1872年12月，大学报“阿尔戈纳大学生”报告了以下学费：
英厄姆写道，1872年12月，大学报“阿尔戈纳大学生”报告了以下学费：
意大利教堂St. Giovanni Bosco以圣约翰博斯科命名。
意大利St. Giovanni Bosco教堂以St. John Bosco命名。
它位于新广场和新亨普斯特德以北，中提琴以东，春谷以南和新城以西。
|
它位于新广场和新亨普斯特德以北，中提琴以东，春谷以南，新城以西。
|
task775_pawsx_chinese_text_modification
|
NIv2
|
fs_opt
| 0
|
train
|
Part 1. Definition
Given a sentence in Chinese, provide an equivalent paraphrased version from the original that retains the same meaning.
Part 2. Example
1975年的NBA赛季 - 76赛季是全美篮球协会的第30个赛季。
Answer: 1975-76赛季的全国篮球协会是NBA的第30个赛季。
Explanation: The paraphrase of the original sentence in Chinese is correct and accurate because even though sentence order has been changed, the denotion that the 30th season of the NBA occurred in the years 1975 - 1976 is retained.
Part 3. Exercise
Nar-Dos发展了亚美尼亚人的心理现实主义的批判趋势，展示了精致的亚美尼亚语。
Answer:
|
Nar-Dos通过展示精致的亚美尼亚语言，发展了亚美尼亚人的心理现实主义倾向。
|
task775_pawsx_chinese_text_modification
|
NIv2
|
fs_opt
| 7
|
train
|
Given a sentence in Chinese, provide an equivalent paraphrased version from the original that retains the same meaning.
Hidalgo出生于塞维利亚，效力于巴达霍斯和塞尔维德维戈。
|
伊达尔戈出生在塞维利亚，为巴达霍斯和塞尔塔德比戈效力。
|
task775_pawsx_chinese_text_modification
|
NIv2
|
zs_opt
| 0
|
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 sentence in Chinese, provide an equivalent paraphrased version from the original that retains the same meaning.
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赛季的全国篮球协会是NBA的第30个赛季。
Why? The paraphrase of the original sentence in Chinese is correct and accurate because even though sentence order has been changed, the denotion that the 30th season of the NBA occurred in the years 1975 - 1976 is retained.
New input: Castlebrae社区高中是Greendykes爱丁堡地区的一所中学。
Solution:
|
Castlebrae社区高中是位于爱丁堡Greendykes地区的一所中学。
|
task775_pawsx_chinese_text_modification
|
NIv2
|
fs_opt
| 0
|
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 sentence in Chinese, provide an equivalent paraphrased version from the original that retains the same meaning.
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赛季的全国篮球协会是NBA的第30个赛季。
Why? The paraphrase of the original sentence in Chinese is correct and accurate because even though sentence order has been changed, the denotion that the 30th season of the NBA occurred in the years 1975 - 1976 is retained.
New input: 克罗克从密西西比州的纳奇兹搬到康科迪亚教区的总部维达利亚，并在黑河区穿越了下瓦希塔。
Solution:
|
克罗克从密西西比州的纳奇兹搬到了康科迪亚教区所在地维达利亚，并在黑河区划到了下瓦希塔。
|
task775_pawsx_chinese_text_modification
|
NIv2
|
fs_opt
| 0
|
train
|
Detailed Instructions: Given a sentence in Chinese, provide an equivalent paraphrased version from the original that retains the same meaning.
Problem:从1866年到1928年，当父权制席位被移至黎巴嫩贝鲁特时，这个帝国主义是西里西亚亚美尼亚天主教家长的所在地。
Solution:
|
从1866年到1928年，在贝鲁特的父权制席位移居黎巴嫩之前，伊玛丽亚是西里西亚亚美尼亚天主教家长的所在地。
|
task775_pawsx_chinese_text_modification
|
NIv2
|
zs_opt
| 8
|
train
|
Teacher:Given a sentence in Chinese, provide an equivalent paraphrased version from the original that retains the same meaning.
Teacher: Now, understand the problem? Solve this instance: 现在解决公式31的冷漠出价以解决问题。
Student:
|
现在解决公式_31的冷漠投标价格查找。
|
task775_pawsx_chinese_text_modification
|
NIv2
|
zs_opt
| 6
|
train
|
Teacher: Given a sentence in Chinese, provide an equivalent paraphrased version from the original that retains the same meaning.
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: 1975-76赛季的全国篮球协会是NBA的第30个赛季。
Reason: The paraphrase of the original sentence in Chinese is correct and accurate because even though sentence order has been changed, the denotion that the 30th season of the NBA occurred in the years 1975 - 1976 is retained.
Now, solve this instance: Andrea Bocelli称她的排练表演“非常好”，大卫福斯特称她的声音很壮观。
Student:
|
Andrea Andrea Bocelli称她的样本表演“非常好”，David Foster称她的声音很壮观。
|
task775_pawsx_chinese_text_modification
|
NIv2
|
fs_opt
| 2
|
train
|
Given a sentence in Chinese, provide an equivalent paraphrased version from the original that retains the same meaning.
Ex Input:
在2017赛季，康奈尔大红队赢得了649场比赛，并列529场比赛，并且输掉了33场常规赛。
Ex Output:
整个2017赛季，康奈尔大红队赢得了649场比赛，529场比赛和33场常规赛失利。
Ex Input:
该市东半部大部分地区相对农村，而城市的西部（大致来自伍德伯里角东部）更加城市化。
Ex Output:
该市东半部的大部分地区相对农村，而城市的西部地区更加城市化（例如，从伍德伯里角东部）。
Ex Input:
这是为英国伦敦服务的各种地方政府组织负责人名单。
Ex Output:
|
这是为英国伦敦服务的当地政府组织的各位负责人名单。
|
task775_pawsx_chinese_text_modification
|
NIv2
|
fs_opt
| 1
|
test
|
Q: Given a sentence in Chinese, provide an equivalent paraphrased version from the original that retains the same meaning.
Oraciu河或Orociu河是罗马尼亚Pustnic河的支流。
A:
|
Oraciu河或Orociu河是罗马尼亚Pustnic河的支流。
|
task775_pawsx_chinese_text_modification
|
NIv2
|
zs_opt
| 7
|
validation
|
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Example: (Śmiech) Opublikował wiele filmów o przyrodzie.
Example solution: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Example explanation: The Polish sentence is correctly translated into Italian, because the meaning is preserved.
Problem: Mechanizm tworzy pojedyncza oś, działająca jak zawias w drzwiach.
|
Solution: Il meccanismo ha un singolo asse, e un singolo asse è come il cardine di una porta.
|
task1262_ted_translation_pl_it
|
NIv2
|
fs_opt
| 5
|
train
|
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Q: To jak zarządzamy lub budujemy otoczenie każdego dnia wpływa na zdrowie i samopoczucie ludzi.
A:
|
E il modo in cui gestiamo il nostro ambiente intrinseco influisce ogni giorno sulla salute e sul benessere delle persone.
|
task1262_ted_translation_pl_it
|
NIv2
|
zs_opt
| 9
|
train
|
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Nauczyłem się podążać za przeczuciem, ale nie zakładać z góry, w którą stronę prowadzi.
|
Ma ho imparato a seguire l'intuito, senza mai pretendere di sapere dove andrà. Ma ho imparato a seguire l'intuito, senza mai pretendere di sapere dove andrà.
|
task1262_ted_translation_pl_it
|
NIv2
|
zs_opt
| 5
|
train
|
Teacher: You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Teacher: Now, understand the problem? If you are still confused, see the following example:
(Śmiech) Opublikował wiele filmów o przyrodzie.
Solution: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Reason: The Polish sentence is correctly translated into Italian, because the meaning is preserved.
Now, solve this instance: Wszyscy siedzą w pierwszym rzędzie.
Student:
|
Oggi abbiamo tutti un posto in prima fila.
|
task1262_ted_translation_pl_it
|
NIv2
|
fs_opt
| 2
|
train
|
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Z tego niesamowitego, inspirującego momentu w życiu młodej artystki, zrozumiałam, że trzeba być wiernym swoim artystycznym przekonaniom do samego końca, ale trzeba też pamiętać, że publiczność jest obecna w naszym życiu i też potrzebuje światła.
Output:
|
Quello che ho appreso e capito da questo incredibile e determinante momento della mia vita di giovane artista è che bisogna sempre essere fedeli a quello in cui si crede in quanto artisti in tutto e per tutto, ma si deve anche essere consapevoli che il pubblico è là fuori in questo momento delle nostre vite, e che anch'esso ha bisogno della luce.
|
task1262_ted_translation_pl_it
|
NIv2
|
zs_opt
| 1
|
train
|
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Example: (Śmiech) Opublikował wiele filmów o przyrodzie.
Output: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
The Polish sentence is correctly translated into Italian, because the meaning is preserved.
New input case for you: Oczywiście miał rację.
Output:
|
Aveva ragione, ovviamente.
|
task1262_ted_translation_pl_it
|
NIv2
|
fs_opt
| 1
|
train
|
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Let me give you an example: (Śmiech) Opublikował wiele filmów o przyrodzie.
The answer to this example can be: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Here is why: The Polish sentence is correctly translated into Italian, because the meaning is preserved.
OK. solve this:
Staram się poskładać elementy, które byłyby dobrym startem.
Answer:
|
Ho tentato di mettere insieme qualcosa che sia un buon avvio per tutto questo.
|
task1262_ted_translation_pl_it
|
NIv2
|
fs_opt
| 8
|
train
|
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Let me give you an example: (Śmiech) Opublikował wiele filmów o przyrodzie.
The answer to this example can be: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Here is why: The Polish sentence is correctly translated into Italian, because the meaning is preserved.
OK. solve this:
Kostka Rubika.
Answer:
|
Il Cubo di Rubik.
|
task1262_ted_translation_pl_it
|
NIv2
|
fs_opt
| 8
|
train
|
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
I rzeczywiście, nasze wewnętrzna ocena mówiła jasno, że broń masowego rażenia należąca do Iraku nie stanowiła zagrożenia dla sąsiadów Iraku, a tym bardziej dla nas.
Output:
|
Ed infatti la nostra valutazione era altrettanto chiara: le armi di distruzione di massa dell'Iraq non erano una minaccia per i suoi vicini, figuriamoci per noi.
|
task1262_ted_translation_pl_it
|
NIv2
|
zs_opt
| 1
|
test
|
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Example Input: A te kopaliny ciągle żyją.
Example Output: E questi fossili respirano ancora
Example Input: Tutaj dorosły organizm, a raczej jedna z jego części.
Example Output: E qui, vedete, è cresciuta, o almeno questa sezione particolare.
Example Input: Jeśli grupa nie umie rozwiązać tego problemu, nie skorzysta z dobrodziejstw współpracy, nie rozpocznie się dobór grupowy.
Example Output:
|
Se un gruppo non riesce a risolvere il problema opportunismo, allora non può cogliere i benefici della cooperazione e la selezione dei gruppi non può avere inizio.
|
task1262_ted_translation_pl_it
|
NIv2
|
fs_opt
| 3
|
validation
|
In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cannot clearly ascertain agreement/disagreement between the two sentences, the label is ' B_neutral_A'.
--------
Question: sentence_A: A dog is chasing a ball on the grass. sentence_B: A dog is chasing a ball in the grass
Answer: B_entails_A
Question: sentence_A: The player is dunking the basketball into the net and a crowd is in background. sentence_B: A man with a jersey is dunking the ball at a basketball game
Answer: B_neutral_A
Question: sentence_A: A woman is frying something. sentence_B: A horse is being ridden by a woman
Answer:
|
B_neutral_A
|
task1615_sick_tclassify_b_relation_a
|
NIv2
|
fs_opt
| 7
|
train
|
In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cannot clearly ascertain agreement/disagreement between the two sentences, the label is ' B_neutral_A'.
One example: sentence_A: man is wearing a hard hat and dancing. sentence_B: There is no man with a hard hat dancing.
Solution is here: B_contradicts_A
Explanation: The sentence B has opposite meaning as sentence_B says, "No man with a hat", but sentence_A says, "A man is wearing a hat", so B is contradicting A.
Now, solve this: sentence_A: People are walking outside a building that has many murals on it. sentence_B: Nobody is in front of the colorful building
Solution:
|
B_neutral_A
|
task1615_sick_tclassify_b_relation_a
|
NIv2
|
fs_opt
| 6
|
train
|
In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cannot clearly ascertain agreement/disagreement between the two sentences, the label is ' B_neutral_A'.
sentence_A: A woman is cutting a tomato. sentence_B: A woman is dancing near a fireplace
|
B_neutral_A
|
task1615_sick_tclassify_b_relation_a
|
NIv2
|
zs_opt
| 0
|
train
|
Given the task definition and input, reply with output. In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cannot clearly ascertain agreement/disagreement between the two sentences, the label is ' B_neutral_A'.
sentence_A: The panda bear is resting on the logs. sentence_B: The panda bear is lying on the logs
|
B_entails_A
|
task1615_sick_tclassify_b_relation_a
|
NIv2
|
zs_opt
| 5
|
train
|
Detailed Instructions: In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cannot clearly ascertain agreement/disagreement between the two sentences, the label is ' B_neutral_A'.
See one example below:
Problem: sentence_A: man is wearing a hard hat and dancing. sentence_B: There is no man with a hard hat dancing.
Solution: B_contradicts_A
Explanation: The sentence B has opposite meaning as sentence_B says, "No man with a hat", but sentence_A says, "A man is wearing a hat", so B is contradicting A.
Problem: sentence_A: A group of people is holding drinks and pointing at the camera. sentence_B: Drinks are being held by people pointing at the camera
Solution:
|
B_entails_A
|
task1615_sick_tclassify_b_relation_a
|
NIv2
|
fs_opt
| 4
|
train
|
In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cannot clearly ascertain agreement/disagreement between the two sentences, the label is ' B_neutral_A'.
One example is below.
Q: sentence_A: man is wearing a hard hat and dancing. sentence_B: There is no man with a hard hat dancing.
A: B_contradicts_A
Rationale: The sentence B has opposite meaning as sentence_B says, "No man with a hat", but sentence_A says, "A man is wearing a hat", so B is contradicting A.
Q: sentence_A: The ice hockey goalkeeper is wearing a yellow jersey and is defending the goal. sentence_B: The ice hockey goalkeeper is not wearing a yellow jersey and is not defending the goal
A:
|
B_contradicts_A
|
task1615_sick_tclassify_b_relation_a
|
NIv2
|
fs_opt
| 9
|
train
|
In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cannot clearly ascertain agreement/disagreement between the two sentences, the label is ' B_neutral_A'.
Example: sentence_A: man is wearing a hard hat and dancing. sentence_B: There is no man with a hard hat dancing.
Example solution: B_contradicts_A
Example explanation: The sentence B has opposite meaning as sentence_B says, "No man with a hat", but sentence_A says, "A man is wearing a hat", so B is contradicting A.
Problem: sentence_A: Some water is being drunk by a cat. sentence_B: A truck is quickly going down a hill
|
Solution: B_neutral_A
|
task1615_sick_tclassify_b_relation_a
|
NIv2
|
fs_opt
| 5
|
train
|
Teacher: In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cannot clearly ascertain agreement/disagreement between the two sentences, the label is ' B_neutral_A'.
Teacher: Now, understand the problem? If you are still confused, see the following example:
sentence_A: man is wearing a hard hat and dancing. sentence_B: There is no man with a hard hat dancing.
Solution: B_contradicts_A
Reason: The sentence B has opposite meaning as sentence_B says, "No man with a hat", but sentence_A says, "A man is wearing a hat", so B is contradicting A.
Now, solve this instance: sentence_A: The man is not riding a mechanical bull. sentence_B: The man is riding a mechanical bull
Student:
|
B_contradicts_A
|
task1615_sick_tclassify_b_relation_a
|
NIv2
|
fs_opt
| 2
|
train
|
Instructions: In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cannot clearly ascertain agreement/disagreement between the two sentences, the label is ' B_neutral_A'.
Input: sentence_A: A cheetah is quickly running behind its prey.. sentence_B: There is no cheetah quickly running behind its prey
Output:
|
B_contradicts_A
|
task1615_sick_tclassify_b_relation_a
|
NIv2
|
zs_opt
| 3
|
test
|
Detailed Instructions: In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_contradicts_A'. If you cannot clearly ascertain agreement/disagreement between the two sentences, the label is ' B_neutral_A'.
Problem:sentence_A: A dog is near the red ball in the air. sentence_B: A dog is far from the red ball in the air
Solution:
|
B_contradicts_A
|
task1615_sick_tclassify_b_relation_a
|
NIv2
|
zs_opt
| 8
|
validation
|
problem: Generate a short movie review that has positive sentiment.
generated: insightfully written , delicately performed
input: Generate a short movie review that has "positive" sentiment
OPTIONS:
- negative
- positive.
output: quiet , confident craftsmanship that tells a sweet , charming tale of intergalactic friendship
Write a movie review.
a surprisingly funny movie
Q: Write a positive (OPTIONS:
- negative
- positive) movie review.
A: the film ... presents classic moral-condundrum drama : what would you have done to survive ?
problem: Generate a short movie review that has negative sentiment.
generated: is dark , brooding and slow , and takes its central idea way too seriously .
problem: Generate a short movie review that has negative sentiment.
generated:
|
will be two hours gained
|
glue_sst2_2_0_0
|
Flan2021
|
fs_opt
| 1
|
train
|
Q: Write a negative (OPTIONS:
- negative
- positive) movie review.
A: all portent and no content
problem: Generate a short movie review that has negative sentiment.
generated: ... margarita feels like a hazy high that takes too long to shake .
input: Generate a short movie review that has "negative" sentiment
OPTIONS:
- negative
- positive.
output: draggy
Write a movie review.
this remake of lina wertmuller 's 1975 eroti-comedy might just be the biggest husband-and-wife disaster since john
Q: Write a positive (OPTIONS:
- negative
- positive) movie review.
A: be a good match of the sensibilities of two directors
Q: Write a negative (OPTIONS:
- negative
- positive) movie review.
A:
|
an empty shell
|
glue_sst2_2_0_0
|
Flan2021
|
fs_opt
| 0
|
train
|
Q: Write a positive (OPTIONS:
- negative
- positive) movie review.
A: their parents
problem: Generate a short movie review that has negative sentiment.
generated: ludicrous attempt
input: Generate a short movie review that has "negative" sentiment
OPTIONS:
- negative
- positive.
output: as monstrous
Write a movie review.
it 's too harsh to work as a piece of storytelling
Q: Write a positive (OPTIONS:
- negative
- positive) movie review.
A: offers copious hints along the way -- myriad signs , if you will -- that beneath the familiar , funny surface is a far bigger , far more meaningful story than one in which little green men come to earth for harvesting purposes .
Q: Write a negative (OPTIONS:
- negative
- positive) movie review.
A:
|
a blair witch - style adventure that plays like a bad soap opera , with passable performances from everyone in the cast
|
glue_sst2_2_0_0
|
Flan2021
|
fs_opt
| 0
|
train
|
Question: Positive or negative opinion of the movie?
schrader relies on subtle ironies and visual devices to convey point of view .
--Answer: positive
Question: Positive or negative opinion of the movie?
it reaffirms life as it looks in the face of death .
--Answer: positive
Question: Positive or negative opinion of the movie?
loud and thoroughly obnoxious comedy
--Answer: negative
Question: Positive or negative opinion of the movie?
a splash even greater
--
|
Answer: positive
|
glue_sst2_2_0_0
|
Flan2021
|
fs_noopt
| 0
|
train
|
"offer audiences "
How would the sentiment of this sentence be perceived --
Choices:
[I] negative
[II] positive
Answer:
|
[II]
|
glue_sst2_2_0_0
|
Flan2021
|
zs_opt
| 3
|
train
|
Review:
a searing , epic treatment of a nationwide blight that seems to be
Is this movie review sentence negative or positive?
Available options:
(I) negative.
(II) positive.
The answer is:
|
(II)
|
glue_sst2_2_0_0
|
Flan2021
|
zs_opt
| 0
|
train
|
Short movie review: glazed with a tawdry b-movie scum .
Did the critic thinking positively or negatively of the movie?
|
negative
|
glue_sst2_2_0_0
|
Flan2021
|
zs_noopt
| 1
|
train
|
question: Review:
, the film never recovers from the clumsy cliché of the ugly american abroad , and the too-frosty exterior ms. paltrow employs to authenticate her british persona is another liability .
Is this review negative or positive?
OPTIONS:
- negative
- positive
answer: negative
question: Review:
a smart , romantic drama that dares to depict the french revolution from the aristocrats ' perspective
Is this review negative or positive?
OPTIONS:
- negative
- positive
answer: positive
question: Review:
rejects patent solutions to dramatize life 's messiness from inside out , in all its strange quirks
Is this review negative or positive?
OPTIONS:
- negative
- positive
answer:
|
positive
|
glue_sst2_2_0_0
|
Flan2021
|
fs_opt
| 3
|
train
|
question: Review:
clunky tv-movie
Is this review negative or positive?
answer: negative
question: Review:
carl
Is this review negative or positive?
answer: positive
question: Review:
presented with great sympathy and intelligence
Is this review negative or positive?
answer:
|
positive
|
glue_sst2_2_0_0
|
Flan2021
|
fs_noopt
| 3
|
test
|
input: Generate a short movie review that has "positive" sentiment
OPTIONS:
- negative
- positive.
output: seeking an existent anti-virus
Write a movie review.
, deeply absorbing piece
Q: Write a positive (OPTIONS:
- negative
- positive) movie review.
A: to find a film to which the adjective ` gentle ' applies
problem: Generate a short movie review that has negative sentiment.
generated: 's so devoid of joy and energy
input: Generate a short movie review that has "positive" sentiment
OPTIONS:
- negative
- positive.
output: on a positive ( if tragic ) note
input: Generate a short movie review that has "positive" sentiment
OPTIONS:
- negative
- positive.
output:
|
that uses its pulpy core conceit to probe questions of attraction and interdependence
|
glue_sst2_2_0_0
|
Flan2021
|
fs_opt
| 2
|
validation
|
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