inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You are given a sentence in English. Your job is to translate the English sentence into Galician.
One example is below.
Q: Now, it's next door, or in my house.
A: Agora, está ao lado, ou na miña casa.
Rationale: The English sentence is correctly translated into Galician, because the meaning is preserved.
Q: So about that time, the National Federation of the Blind, or NFB, challenged the research committee about who can develop a car that lets a blind person drive safely and independently.
A: | Nese momento a Federación Nacional de Cegos, ou en inglés NFB, propuxo ao comité de investigación o reto de desenvolver un coche que permitise a unha persoa cega conducir de forma segura e independente. | 9 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
0.0754135325551033,
0.8093383312225342,
0.3705383837223053,
-0.4470110535621643,
0.0012761204270645976,
-1.1069655418395996,
0.4688768982887268,
0.053472429513931274,
0.2716042995452881,
0.39587298035621643,
-0.5203044414520264,
0.6069134473800659,
-0.8089320659637451,
0.1986445039510727,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
One example: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Solution is here: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Explanation: The Japanese sentence is correctly translated into Farsi, because the meaning is preserved.
Now, solve this: たんぱく質のためにも薬品のためにも信じられないぐらい有用な植物です
Solution: | این گیاه فوق العاده مفیدی است هم به لحاظ پروتئین و هم در مصرف داروئی. | 6 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
0.40851151943206787,
0.6489952206611633,
-0.2809215486049652,
-0.2989862561225891,
-0.6864719390869141,
-0.7689733505249023,
1.5621435642242432,
0.06418020278215408,
0.29011720418930054,
-0.4695550203323364,
-1.3136143684387207,
0.5500797629356384,
-1.1617317199707031,
0.4928278923034668,
... |
Teacher:Classify the given news commentary into the language in which it is written in. There are 12 languages to classify the sentences into, 1) English, 2) French, 3) Arabic, 4) Czech, 5) German, 6) Spanish, 7) Dutch, 8) Portuguese, 9) Italian, 10) Zhuang, 11) Japanese, 12) Russian.
Teacher: Now, understand the problem? Solve this instance: Als gevolg daarvan was het herverdelingseffect bescheiden.
Student: | Dutch | 6 | NIv2 | task1370_newscomm_classification | zs_opt | [
-0.2795136570930481,
0.24159681797027588,
0.8668774366378784,
-0.5065584778785706,
0.5909652709960938,
-0.3626973330974579,
0.08580085635185242,
0.32492172718048096,
0.16357558965682983,
-0.41629984974861145,
-0.11910505592823029,
0.11630243062973022,
-0.7078169584274292,
-0.33574745059013... |
instruction:
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
question:
Article: The possibility that pleasant smells might reduce pain has recently been suggested by new research. In a scientific study, doctors asked 20 men and 20 women to keep their hands in very hot water for as long as possible while breathing in different smells. As people believe that strong smells can affect the senses, volunteers were asked not to eat or drink for eight hours before the experiment began. During the experiment, volunteers were asked to take in pleasant smells such as vanilla , and unpleasant smells such as durians . The volunteers kept their hands in the water until it became too hot for them. When they could not bear the pain any more, they took their hands out of the water. Scientists are interested in whether the senses or smell is related to pain and whether men and women have the same senses. Now, the study has proved that for women, pleasant smells reduce pain. For men, there is no change. Dr Finkelstein has been studying smells since 1999. He says that scientists already have data from 40 volunteers. He adds that this year, scientists will test another 60 volunteers and will be in a better position to explain the results. One explanation is that women's sense of smell developed long ago, and is linked to recognizing the smell of babies. Scientists used to believe that mothers recognized their children by sight only. Now, they have started to believe that the sense of smell also helps, but why pleasant smells do not reduce pain in men is a question still to be answered by scientists.
Question: Before the experiment, volunteers _ .
Options: (A) are gathered and take a training (B) cannot eat or drink for several hours (C) must wash their hands carefully (D) will be interviewed by Dr Finkelstein
Asnwer: B
answer:
Yes
question:
Article: The concept of health holds different meanings for different people and groups. These meanings have also changed over time. This change is no more evident than in Western society today, when notions of health and health promotion are being challenged and expanded in new ways. For much of recent Western history, health has been viewed in the physical sense only. That is, good health has been connected to the smooth mechanical operation of the body, while ill health has been attributed to a breakdown in this machine. Health in this sense has been defined as the absence of disease or illness and is seen in medical terms. In the late 1940s the World Health Organization challenged this physically and medically oriented view of health. They stated that health is a complete state of physical, mental and social well-being and is not merely the absence of disease (WHO, 1946). Health and the person were seen more holistically (mind / body / spirit) and not just in physical terms. The 1970s was a time of focusing on the prevention of disease and illness by emphasizing the importance of the lifestyle and behaviour of the individual. Specific behaviours which were seen to increase risk of disease, such as smoking, lack of fitness and unhealthy eating habits, were targeted. Creating health meant providing not only medical health care, but also health promotion programs and policies which would help people maintain healthy behaviours and lifestyles. While this individualistic healthy lifestyle approach to health worked for some (the wealthy members of society), it was of little benefit to people experiencing poverty, unemployment, underemployment or who had little control over the conditions of their daily life. During the 1980s and 1990s there has been a growing swing away from seeing lifestyle risks as the root cause of poor health. While lifestyle factors still remain important, health is being viewed also in terms of the social, economic and environmental contexts in which people live. This broad approach to health is called the socio-ecological view of health. At the Ottawa Conference in 1986, a charter was developed which outlined new directions for health promotion based on the socio-ecological view of health. This charter, known as the Ottawa Charter for Health Promotion, remains as the backbone of health action today. In exploring the scope of health promotion it states that: Good health is a major resource for social, economic and personal development and an important dimension of the quality of life. Political, economic, social, cultural, environmental, behavioural and biological factors can all favour health or be harmful to it. (WHO, 1986)
Question: From the passage, we can infer that _ .
Options: (A) good health means not having any illness (B) health has different meanings for different people in different periods (C) health has always been viewed in terms of the social, economic and environmental contexts in which people live (D) health has always been considered a major resource for social, economic and personal development and an important dimension of quality of life
Asnwer: D
answer:
No
question:
Article: A lot of teachers hate doodlers during classes."Pay attention!"Teachers will often warn doodling students,sure that they must be daydreaming. However, according to a recent study, doodling while listening to a boring lecture helps concentrate the attention: Andrade,a psychology professor in England asked participants to listen to a boring lecture. Half the participants were told to color in squares and circles freely on a piece of paper while listening to the lecture.The other half weren't given a task.After it was over, the participants were asked to retell the lecture. Those given the doodling task(color in squares and circles)remembered 29 percent more information than the non-doodlers.Andrade said. "If someone is doing a boring task,like listening to a dull conversation,they may start daydream,"said Professor Andrade. "Daydreaming distracts them from the task,resulting in poorer performance.A simple task,like doodling,can stop them from daydreaming without affecting their performance at the task,"he said. So the next time you're doodling during a class,and you hear"pay attention",you can tell the teacher with confidence that you've been paying attention to every word.
Question: Teachers hate doodlers because they thought _ .
Options: (A) doodlers are not good at study (B) doodlers are doing no task (C) doodlers pay no attention in class (D) doodlers are not polite to them
Asnwer: C
answer:
| Yes
| 9 | NIv2 | task310_race_classification | fs_opt | [
0.7575727701187134,
0.37499526143074036,
-0.38697350025177,
-0.16957227885723114,
0.7428663969039917,
-0.4794909358024597,
0.4611583948135376,
0.3928260803222656,
0.03142359107732773,
-0.07389242947101593,
0.011224476620554924,
0.9413859248161316,
-0.26535969972610474,
-0.2946687638759613,... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is used for the Tail or not. The usage describes everyday affordances or uses of objects and includes both typical and atypical uses. For example, a popcorn bucket can typically be used to hold popcorn, but it could also serve as a hat in atypical situations. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Let me give you an example: Head: basket<sep>Tail: carry laundry
The answer to this example can be: Yes
Here is why: This is a good example. The basket is used for carrying the laundry.
OK. solve this:
Head: PersonX begs for food<sep>Tail: get food
Answer: | No | 8 | NIv2 | task1209_atomic_classification_objectuse | fs_opt | [
0.3941812515258789,
0.24552221596240997,
0.1072581335902214,
0.13338078558444977,
-0.620689332485199,
-0.9638797044754028,
0.9874569177627563,
0.5354059338569641,
-0.6989197731018066,
-0.5225033760070801,
-0.7740744352340698,
-0.3598215579986572,
-0.5002589225769043,
0.2909711003303528,
... |
Detailed Instructions: In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
Problem:It was fantastic until it broke. And it broke within TWO WEEKS of my purchase for no reason. It charged really well and you could listen to wired headphones with it, but it's not worth it if it just breaks. DON'T BUY THIS.
Solution: | 1 | 8 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
0.1273002326488495,
0.34020331501960754,
-0.07028061151504517,
-0.129601389169693,
0.3681061565876007,
-0.17267343401908875,
0.5530806183815002,
0.4137624502182007,
-0.1265290379524231,
0.8111990690231323,
-0.5933274030685425,
0.09140506386756897,
-0.3640020787715912,
-0.43178075551986694,... |
Detailed Instructions: Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Problem:Two men have been arrested on suspicion of terrorism offences, reports said. Authorities said the men were "involved in recruiting, facilitating, and funding people to travel to Syria to engage in hostile activities". Australia is working to stop people joining Middle East jihadist groups. The two men, aged 21 and 31, were arrested at the iQraa Islamic Centre south of Brisbane. Both would be charged with preparing for incursions into Syria, Australian reports said. The 21-year-old would be charged with recruiting fighters to join the conflict, while the 31-year-old would be charged with providing funds to militant group Jabhat al-Nusra. The men were not suspected of planning attacks in Australia, a federal police spokesman said. 'Harmless' Witnesses said that police arrived early on Wednesday morning with a locksmith to access the centre, which sells books, gifts and clothing, according to Fairfax Media. The Australian Broadcasting Corporation said police also raided a gym in the same area. It reported that one of the centre's founders is believed to be the brother of Abu Asma al Australi, who is suspected of being the first Australian suicide bomber to die in Syria. But an iQraa employee denied that the Islamic centre and the two men were linked to terrorism. He told ABC that the arrests happened because of the authorities' "paranoia" and security concerns for the G20 summit, due to be held in Brisbane in November. A customer also told the AAP that the two men were "born and bred" Australians and the centre is "harmless". Authorities have previously said that 100 or more people in Australia were "actively supporting" militant groups fighting in the Middle East. The raid took place a day after the head of the Australian Security and Intelligence Organisation, David Irvine, said he was assessing whether to raise the threat level. Australia has been at "medium" since the threat level system was introduced in 2003, according to the country's national security website. "Medium" means an attack could occur. It is followed by "high", which means an attack is likely and is the second highest threat level. Mr Irvine told the ABC that the threat had been building in Australia over the past year and he had an "elevated level of concern". He said this was due to "the numbers of people we are now having to be concerned about in Australia, because of the influence of Syria and Iraq on young Australians both in terms of going to those places to fight, but also in terms of what they are doing here in Australia with a potential intent to attack". Officials have said that at least 60 Australians are believed to be fighting with jihadist groups in Syria and northern Iraq, and 15 Australians have been killed so far from those conflicts including two suicide bombers. Australia has moved to restrict citizens from travelling to certain areas to join militant groups, and is in the midst of installing counter-terrorism units and biometric screening at all international airports.
Solution: | Australia arrests two in Islamic centre raid | 8 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
1.0654431581497192,
0.666434645652771,
-0.4374219477176666,
-0.7537344098091125,
0.19558854401111603,
0.4089997410774231,
0.9762159585952759,
0.9681612253189087,
0.05747709795832634,
0.37068066000938416,
-0.557226300239563,
1.1733794212341309,
-1.2355666160583496,
-0.17169085144996643,
-... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens after the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Problem:Head: PersonX gets some candy<sep>Tail: PersonX has a craving for something sweet
Solution: | Yes | 8 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
0.15757903456687927,
0.46856072545051575,
0.5715993046760559,
-0.4893209934234619,
-0.6329509019851685,
-0.7047997117042542,
0.9379961490631104,
0.39141178131103516,
-1.0408787727355957,
-0.8524239659309387,
-0.25678879022598267,
-0.8839776515960693,
-0.6405655145645142,
0.2383900880813598... |
instruction:
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
question:
Beginning: I try to do Laundry twice a week. Middle 1: My roommate used to wash his clothes in a separate load. Middle 2: My roommate used to wash his clothes in my moms house. Ending: Now he knows to put them in the Laundry.
answer:
1
question:
Beginning: Sally had work later tonight. Middle 1: Joe asked Sally to cover her shift. Middle 2: Sally asked Joe to cover her shift. Ending: Joe came 5 minutes later and was able to give Sarah a ride to work.
answer:
2
question:
Beginning: Joe bought a whoopee cushion to prank his roommate, Rob. Middle 1: Rob plotted pay back on Joe. Middle 2: Rob's girlfriend plotted pay back on Joe. Ending: Rob got his revenge, and in front of his girlfriend!
answer:
| 1
| 9 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.5045580863952637,
0.217182457447052,
-0.49914321303367615,
0.45327651500701904,
0.09514086693525314,
-0.8102929592132568,
0.06044510751962662,
0.9296413064002991,
-0.519685685634613,
0.07877588272094727,
-0.4596504867076874,
-0.06813192367553711,
0.000051895854994654655,
-0.414493590593... |
Detailed Instructions: Classify the given hotel review based on the sentiment it expresses into two classes: negative and positive.
Q: My stay at The Palmer House Hilton was less than satisfactory. I would have expected much for from such a "high end" hotel. The rooms were way over priced, and the service was less than satisfactory. At one point, I left my dirty towels on the floor to be picked up, and when room service came through, they were still there! On the other side of things, the cup I had left on my desk (which I was planning to use later) was gone. My coffee and my towels were also never replaced. I also was astounded that internet service did not come with the price of the room. Rather, it was a "nominal fee". After paying so much for a room, I had hoped to at least have complimentary wifi. My stay at the Palmer House Hilton left much to be wished for. I will not be staying there again.
A: | negative | 9 | NIv2 | task902_deceptive_opinion_spam_classification | zs_opt | [
-0.4452090263366699,
-0.05309249460697174,
-0.5687707662582397,
-0.254489928483963,
0.9091548919677734,
-1.1496531963348389,
-0.06620771437883377,
0.7979340553283691,
-0.039079029113054276,
0.6370629072189331,
0.271206796169281,
0.8288130760192871,
-0.6177922487258911,
-0.8371199369430542,... |
Instructions: Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Input: Sentence: Labor unions and Democrats long fought the idea , but recently acceded to it {{ in }} the face of Bush administration insistence .
Word: in
Output: | ADP | 3 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.27621209621429443,
0.10464513301849365,
-0.2712845802307129,
0.2048293948173523,
-0.22382491827011108,
-0.5644921660423279,
0.6662086248397827,
0.5137473940849304,
-0.27693307399749756,
0.05464813485741615,
-0.6396914124488831,
0.10336001217365265,
-0.370897501707077,
0.24871204793453217... |
In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Let me give you an example: Tracy slept awkwardly on their new bed and was having some pain, so Tracy cracked her neck.
The answer to this example can be: What did Tracy do with her neck?
Here is why: The question asked is relevant and can be directly answered by referring to the phrase "so Tracy cracked her neck" from the passage.
OK. solve this:
Still looking for their first win of the year, the Dolphins flew to Cleveland Browns Stadium for a Week 6 intraconference duel with the Cleveland Browns. With QB Trent Green still suffering from a concussion from last week, back-up QB Cleo Lemon was given the start. In the first quarter, Miami trailed early as Browns RB Jason Wright got a 1-yard TD run. The 'Fins would respond with kicker Jay Feely getting a 43-yard field goal. However, Cleveland increased its lead with QB Derek Anderson getting a 1-yard TD run. In the second quarter, Miami's struggles continued with Browns kicker Phil Dawson getting a 40-yard field goal, along with Anderson completing a 24-yard TD pass to WR Braylon Edwards. The Dolphins answered with Lemon completing a 14-yard TD pass to TE David Martin, yet Cleveland managed to get a 20-yard field goal from Dawson as time ran out. In the third quarter, the 'Fins started to retaliate with Lemon getting a 5-yard and a 1-yard TD run. Unfortunately, in the fourth quarter, the Browns would pull away with Anderson and Edwards hooking up with each other on a 5-yard and a 16-yard TD pass. Miami's only response would be Lemon's 4-yard TD pass to Martin. With the loss, not only did the Dolphins fall to 0-6 for the first time since 2004, but they also suffered their 9th-straight loss (the worst losing streak in franchise history). Along with the St. Louis Rams, it marked the first time since 2000 (Bengals and Chargers) that two teams began a season at 0-6.
Answer: | Which players scored field goals longer than 20 yards? | 8 | NIv2 | task596_mocha_question_generation | fs_opt | [
0.4160553812980652,
0.757036566734314,
-1.026355266571045,
-0.04377559572458267,
0.07346932590007782,
-0.16707774996757507,
0.6376113295555115,
-0.09047389030456543,
-0.1694890856742859,
0.2758461833000183,
-0.04787189140915871,
0.4593921899795532,
-0.6133060455322266,
0.5566685795783997,
... |
Detailed Instructions: In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of stereotype or anti-stereotype: gender, profession, race, and religion.
Problem:Passage: She, herself, is a boy
Solution: | Gender | 8 | NIv2 | task280_stereoset_classification_stereotype_type | zs_opt | [
-0.2360960841178894,
0.673276960849762,
-0.2577827274799347,
0.3634258508682251,
-0.11384715884923935,
-0.15781065821647644,
0.8981069326400757,
0.7413220405578613,
0.5570391416549683,
-0.09987927228212357,
-0.911921501159668,
-0.003704458475112915,
-0.2742207646369934,
-0.7332402467727661... |
Q: You are given a Catalan sentence with a blank, and you need to predict the missing word.
L' estació del tren d' alta velocitat ____ Vallès està previst que entri en servei l' any 2004 .
A: | del | 7 | NIv2 | task962_ancora-ca-ner_missing_word_prediction | zs_opt | [
0.47098013758659363,
2.065946578979492,
-0.64211106300354,
0.17024394869804382,
-0.2558225989341736,
-0.06914356350898743,
0.5190932154655457,
1.0764622688293457,
-0.41493192315101624,
0.1171887144446373,
-0.6371412873268127,
0.32477474212646484,
1.4103152751922607,
-0.444091796875,
0.16... |
Teacher:In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix' instead of 'one thousand seven hundred six'.
Teacher: Now, understand the problem? Solve this instance: foursixnineninezero
Student: | 46990 | 6 | NIv2 | task1443_string_to_number | zs_opt | [
-0.17646750807762146,
1.262706995010376,
-0.3036497235298157,
-1.0486969947814941,
0.044915422797203064,
-0.4878579378128052,
0.9039022922515869,
0.34686851501464844,
-0.09599483013153076,
-0.3715987205505371,
-0.07808327674865723,
0.5018134117126465,
-1.6552543640136719,
-0.90487796068191... |
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
--------
Question: Sentence 1: The brain is the most complex organ in the human body. Sentence 2: The major theme of Bio-X is to unlock the secrets of the human body by treating body and brain as a whole assembly of complex organ systems that interact with each other dynamically.
Answer: neutral
Question: Sentence 1: Humans possess a(n) endoskeleton. Sentence 2: Human skeletons are internal ones called endoskeletons .
Answer: entails
Question: Sentence 1: A neutron has neutral or no charge. Sentence 2: Neutron A basic particle in an atom's nucleus that has a neutral electrical charge.
Answer: | entails
| 7 | NIv2 | task1554_scitail_classification | fs_opt | [
0.17574626207351685,
0.3163301646709442,
-0.014004119671881199,
0.2026512175798416,
-0.4903130531311035,
-0.939903974533081,
0.7039927840232849,
0.45123761892318726,
0.48949623107910156,
-0.592174768447876,
-0.38879626989364624,
-0.40050527453422546,
-0.2184392213821411,
0.0975241810083389... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follow-up questions on the user's command. Answer with "User" or "Agent".
Example: Let me know if there's anything else I can help you with.
Output: Agent
In this example, the speaker wants to help, and it's part of the agent's job. So, the output should be "Agent".
New input case for you: Yes, I found 2 events between today and March 7th. The first is "client meeting with MSN" from 2:00 to 2:45 PM.
Output: | agent | 1 | NIv2 | task1599_smcalflow_classification | fs_opt | [
-0.08544925600290298,
0.7944236993789673,
-0.379852831363678,
0.27173879742622375,
-0.011326907202601433,
0.20763258635997772,
0.31703609228134155,
0.20770999789237976,
0.42280787229537964,
0.27533578872680664,
0.04671422392129898,
-0.008166148327291012,
-0.2926754951477051,
0.145961076021... |
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question to be answered. Each step in our decomposition should refer to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.)
Here are the list of step templates and their description:
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
Example: question: What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'?
Example solution: #1 return secretaries
#2 return #1 born in state 'Alabama
#3 return departments managed by #2
#4 return distinct creation years of #3
Example explanation: Referring to previous steps is vital in constructing multi-step decompositions. In this example each step refers to the step before to perform a single filter on it to reach the final result.
Problem: question: Which organization that acquired DIC Entertainment created arthur?
| Solution: #1 return DIC Entertainment
#2 return organization that acquired #1
#3 return #2 that created arthur | 5 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.8760026693344116,
-0.17508158087730408,
-0.6067712306976318,
0.6033030152320862,
0.19220653176307678,
-0.2833010256290436,
1.047545313835144,
0.12972265481948853,
-0.5017218589782715,
0.3592895269393921,
-0.4252575635910034,
-0.03567036613821983,
-0.08198796212673187,
0.5693663954734802,... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Example: Context: Tracy didn't go home that evening and resisted Riley's attacks.
Question: What does Tracy need to do before this?
Options: (A) make a new plan (B) Go home and see Riley (C) Find somewhere to go
Example solution: B
Example explanation: Tracy finds somewhere to go and didn't come home because she has to resist Riley's attacks. So, C is the correct answer and B is acceptable as an incorrect answer.
Problem: Context: Tracy visited Canada last fall to visit some family.
Question: How would you describe Tracy?
Options: (A) lazy (B) crazy (C) brave
| Solution: A | 5 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
0.7233664989471436,
0.5558276176452637,
-0.010448653250932693,
0.3146313428878784,
0.08125284314155579,
-0.2787657380104065,
0.5514093041419983,
0.16461022198200226,
-0.2552160918712616,
0.23901675641536713,
-0.7027605772018433,
-0.1812324821949005,
0.3847433924674988,
-0.46696537733078003... |
Q: In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question to be answered. Each step in our decomposition should refer to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.)
Here are the list of step templates and their description:
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
question: What is the brown thing?
A: | #1 return things
#2 return #1 that are brown
#3 return what are #2 | 7 | NIv2 | task176_break_decompose_questions | zs_opt | [
0.9152007102966309,
-0.20831793546676636,
-0.6949530243873596,
0.5121067762374878,
0.0046966057270765305,
-0.31749293208122253,
1.3064719438552856,
0.3253090977668762,
-0.1656271070241928,
0.6829341053962708,
-0.49605792760849,
0.030979713425040245,
-0.07111232727766037,
0.5185547471046448... |
Detailed Instructions: In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Q: They are very well
A: | Is your family well? | 9 | NIv2 | task568_circa_question_generation | zs_opt | [
-0.5363633632659912,
1.5608348846435547,
-0.635627269744873,
-0.19677706062793732,
0.17549273371696472,
-1.2255377769470215,
0.47454652190208435,
0.34802478551864624,
-0.10333837568759918,
0.2760263979434967,
-0.33554959297180176,
0.1619863212108612,
-0.1300457864999771,
0.0292897932231426... |
Part 1. Definition
You are given a statement written in Malayalam. 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 .
Part 2. Example
Statement: ഈസ്റ്റേൺ കാറ്റിൽ ഈഗ്രറ്റ് (B. i. coromandus) - 1783 - ൽ പീറ്റർ ബൊഡേർട്ട് ആണ് ആദ്യമായി വിവരണം നല്കിയത്. ഏഷ്യയിലെയും ആഫ്രിക്കയിലെയും സങ്കരവർഗ്ഗം ആണ്. തെക്കുകിഴക്കൻ ഏഷ്യയിൽ നിന്ന് <MASK>, ജപ്പാനിലേയ്ക്കും സഞ്ചരിക്കുന്നു. ആസ്ട്രേലിയയിലേയ്ക്കും, ന്യൂസ് ലാന്റിലേയ്ക്കും ഭാഗികമായി ദേശാടനം നടത്തുന്നു.
Option A: ആസ്ട്രേലിയയിലെ
Option B: പാകിസ്താനിലേയ്ക്കും
Option C: കോമോറോസ്
Option D: അർജന്റീനയിലും
Answer: പാകിസ്താനിലേയ്ക്കും
Explanation: As the statement mentions fom south east asia , only one option makes sense hence the best options to replace the <MASK> token is പാകിസ്താനിലേയ്ക്കും .
Part 3. Exercise
Statement: <MASK> സർവ്വസാധാരാണമായി ഉപയോഗിക്കുന്ന ഒരു വ്യഞ്ജനമാണ് കടുക്. .(ഇംഗ്ലീഷ്:Mustard ഹിന്ദി:राई). ഭാരതത്തിൽ കറികളിൽ ഒഴിച്ചുകൂടാൻ കഴിയാത്ത ഒരു വ്യഞ്ജനം കൂടിയാണ് കടുക്. മിക്ക കറികളിലും സ്വാദ് കൂട്ടുന്നതിനായി അവസാനം കടുക് എണ്ണയിൽ ഇട്ട് വറുത്ത് ചേർക്കുന്നു. ഈ സസ്യം ഭാരതത്തിൽ ഉടനീളം വളരുന്നതുമാണ്. ശൈത്യകാല വിള എന്നരീതിയിൽ ഉത്തർപ്രദേശ്, പഞ്ചാബ്, സംസ്ഥാനങ്ങളിലും വ്യാവസായിക അടിസ്ഥാനത്തിൽ എണ്ണ എടുക്കുന്നതിനായി മാത്രം മധ്യപ്രദേശ്, ബീഹാർ, ഗുജറാത്ത് എന്നീ സംസ്ഥാനങ്ങളിലും മൈസൂറിലും കടുക് കൃഷി ചെയ്തുവരുന്നു. ഔഷധങ്ങളുടെ ദേവനായ ഈസ്കൽപസാണ് കടുക് കണ്ടുപിടിച്ചതെന്ന് ഗ്രീക്കുകാർ വിശ്വസിക്കുന്നു.
Option A: മൈസൂറിലും
Option B: ബീഹാർ
Option C: ഇന്ത്യയിൽ
Option D: ഉത്തർപ്രദേശ്
Answer: | ഇന്ത്യയിൽ | 7 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.3146737217903137,
0.3383530378341675,
-0.4250635504722595,
-0.14317141473293304,
0.21129247546195984,
-0.9332867860794067,
0.30439862608909607,
0.90144944190979,
-0.4623515009880066,
0.22383636236190796,
-0.251711905002594,
0.10883738100528717,
0.057953815907239914,
-0.1686309576034546,
... |
Teacher: In this task, you are given a premise sentence. Your task is to write a new sentence by substituting the subject and object (i.e., the input's subject should be output's object and vice versa.). The generated sentence must be fluent and shouldn't change the voice (i.e., passive or active) of the input.
Teacher: Now, understand the problem? If you are still confused, see the following example:
The doctors supported the scientist .
Solution: The scientist supported the doctors .
Reason: The output uses the verbs and nouns from the premise and changes the object with the subject. This is a good example.
Now, solve this instance: The secretaries thanked the author .
Student: | The author thanked the secretaries . | 2 | NIv2 | task1364_hans_answer_generation | fs_opt | [
-0.17309629917144775,
0.13659627735614777,
0.21373263001441956,
-0.1232168972492218,
0.38350194692611694,
-0.7517820596694946,
0.22790420055389404,
0.3433840274810791,
0.7407326102256775,
-0.8173154592514038,
-1.0319052934646606,
-0.47339630126953125,
0.14957481622695923,
-0.30996745824813... |
instruction:
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
question:
実際超えてないと思ってますが （ 笑 ） 大事なのはより興味深いものになったということです
answer:
در واقع ، من فکر می کنم که بهتر نیست. مسئله اینه — (خنده حضار) که برای من جالبتره. کمتر خسته کنندست.
question:
ドイツは東ドイツから様々なものを継承しましたがその中には東ドイツの旧制度であるシュタージという秘密警察の文書保管庫もありました
answer:
در میان خیلی از چیزها ، آلمان وارث آرشیو پلیس مخفی آلمان شرق ، معروف به استاسی بود.
question:
では要点をまとめましょう
answer:
| خوب بگذارید جمع بندی کنم.
| 9 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
-0.16404277086257935,
0.21296541392803192,
-0.2944665253162384,
0.034082017838954926,
-0.9068034887313843,
-0.026302069425582886,
1.1138886213302612,
-0.24056673049926758,
0.41874468326568604,
-0.8823055028915405,
-1.2700730562210083,
0.44887617230415344,
-1.198270559310913,
1.004913330078... |
Teacher:In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes more sense.
Teacher: Now, understand the problem? Solve this instance: Title: Andrea Always Accounted Aptly. Sentence 1: Andrea worked as an accountant. Sentence 2: She had been recently hired by a large firm. Sentence 3: She was blamed for another employee's mistake, her being new. Sentence 4: Andrea always kept very fastidious records of her work. Choices: a. Luckily the bus driver kicked both of them off. b. She was able to prove that she was not to blame, and received a bonus.
Student: | b | 6 | NIv2 | task213_rocstories_correct_ending_classification | zs_opt | [
-0.4957318902015686,
0.36906421184539795,
0.25280120968818665,
-0.03456369787454605,
-0.11791016906499863,
-0.2569442093372345,
0.3674067258834839,
1.1412276029586792,
0.42283421754837036,
0.4732706844806671,
-0.16483044624328613,
-0.40699532628059387,
0.12132298946380615,
-0.3253623843193... |
Teacher:In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s.
Teacher: Now, understand the problem? Solve this instance: The offering, though Isaac does not know this, is to be Isaac himself. ``Then Abram bound the youth with belts and straps'', which suggests imagery relating to a young soldier being sent, possibly against his will, in a uniform to fight. When he makes to sacrifice _his_ son, an angel calls from heaven, and tells Abram not to harm Isaac. <sep>, Pronoun: his
Student: | Isaac | 6 | NIv2 | task331_gap_incorrect_answer_generation | zs_opt | [
-0.3861968517303467,
1.097287893295288,
0.3758619427680969,
-0.3896476626396179,
-0.6775968670845032,
-0.6462962627410889,
1.3248670101165771,
0.5393729209899902,
0.6228070259094238,
-0.010200947523117065,
-0.407947301864624,
0.7837845683097839,
-1.2553329467773438,
0.16338303685188293,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Input: Consider Input: Sentence 1: The back of two women looking at something which ca n't be seen but the reflection of one of the women can be seen in the mirror on the table. Sentence 2: Two wemon rob a store and break their mirrors.
Output: C
Input: Consider Input: Sentence 1: Two children are on the beach and are playing in the wet sand. Sentence 2: Two kids are playing in sand on the shore.
Output: C
Input: Consider Input: Sentence 1: A woman wearing white pulls blocks of cheese off of a conveyor. Sentence 2: Some people are working with cheese.
| Output: N
| 2 | NIv2 | task190_snli_classification | fs_opt | [
-0.16354486346244812,
0.5192046165466309,
-0.11943468451499939,
-0.33333879709243774,
0.04011158645153046,
0.061907537281513214,
0.12432701140642166,
0.8278120756149292,
0.6619956493377686,
0.2382785677909851,
-0.05358003079891205,
-0.3533499240875244,
-0.3474578857421875,
-0.4180786013603... |
Detailed Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Q: Category: SERIOUS RADIO
Clue: This man, whose real name is actually Gary, began hosting "A Prairie Home Companion" in 1974
A: | garrison keillor | 9 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.737733006477356,
0.5296312570571899,
0.14903953671455383,
-0.7117791175842285,
-0.0765329897403717,
-0.30142754316329956,
1.123963713645935,
-0.05599493533372879,
0.2226862758398056,
0.27024364471435547,
-1.0223283767700195,
-0.06478255987167358,
-0.8410055041313171,
-0.0718193128705024... |
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Input: Consider Input: Sentence-1: Vietnamese is my favorite.<sep>Sentence-2: I have had pho .
Output: Yes
Input: Consider Input: Sentence-1: I heard it was.<sep>Sentence-2: New York apartment is worth investment .
Output: Yes
Input: Consider Input: Sentence-1: Just these brains.<sep>Sentence-2: My job does have a special skill required .
| Output: Yes
| 2 | NIv2 | task566_circa_classification | fs_opt | [
0.03708113729953766,
-0.110235795378685,
0.11355338990688324,
0.5195091366767883,
-0.07202515751123428,
-0.1506296843290329,
0.6705336570739746,
1.1943786144256592,
0.7440249919891357,
0.010094571858644485,
-0.48763588070869446,
-0.2820497453212738,
-0.6045079231262207,
-0.4872035384178161... |
Teacher: In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the passage can be used to answer the question. Indicate your choice as `a` for Yes or `b` for No.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Question: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin? Passage: The group was occasionally diverted from strategic missions to carry out air support and interdiction missions. It supported Operation Overlord, the invasion of Normandy by attacking transportation targets, including bridges, along with airfields and strong points in France. On D Day, the squadron and the rest of the 446th Group led the first heavy bomber mission of the day. The 446th aided ground forces at Caen and Saint-Lô during July by hitting bridges, gun batteries, and enemy troops. During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. It struck lines of communications during the Battle of the Bulge. During Operation Varsity in March 1945, it supplied ground and airborne troops near Wesel. The squadron flew its last combat mission on 25 April 1945 against Salzburg, Austria. The group had flown 273 missions and had lost 58 aircraft during the war,
.
Solution: a
Reason: The passage describes the 704th's actions during Operation Market Garden so only information about the operation is needed.
Now, solve this instance: Question: How old was Theodore Roosevelt in 1902? Passage:In 1902 Vice President Theodore Roosevelt requested that Marshall Bond assist Roosevelt's cousin Leila's husband Edward Reeve Merritt, a Bond friend, to help a group of Boer refugees purchase ranchland and establish a colony in Mexico. Judge Hiram Bond's cattle dealing at Villa Park Ranch near Denver had included some previous experience with purchases from and sales to ranchers in Mexico. After Marshall Bond and Edward Reeve Merritt met and negotiated with José Yves Limantour and other federal officials in Mexico City and visited various potential sites, they bought a large ranch Hacienda Humboldt from Governor Luis Terrazas on the Rio Conchos in the municipality of Julimes near Delicias, Chihuahua. For more, see Creel-Terrazas Family. The Boers managed to farm there for about fifteen years, until they were displaced as farmers and managers by native Mexicans who were supported by populist labor agitators.
Student: | b | 2 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
0.326690673828125,
0.30852943658828735,
-0.3118726909160614,
0.18111595511436462,
0.15828374028205872,
-0.4943739175796509,
1.3434525728225708,
1.0515170097351074,
0.172409325838089,
0.2079969048500061,
-0.4781496524810791,
0.024171002209186554,
-0.554463267326355,
-0.17939114570617676,
... |
instruction:
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Catalan Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Catalan language. 2) Also names, dates and places should be preserved it should not get translated.
question:
The studied indifference, insolence, and discontent of her husband gave her no pain; and when he scolded or abused her, she was highly diverted.
answer:
La estudiada indiferencia, insolencia y contrariedad de su esposo no la alteraban; y cuando él se enfadaba con ella o la trataba mal, parecía enormemente divertida.
question:
How have I delighted, as I walked, to see them driven in showers about me by the wind!
answer:
¡Cómo me he deleitado en mis caminatas viéndolas caer en torno a mí como una lluvia impelida por el viento!
question:
And, after all, what is it you suspect him of?"
answer:
| Y, después de todo, ¿de qué lo haces sospechoso?
| 9 | NIv2 | task1652_opus_books_ca-en_translation | fs_opt | [
-0.267478346824646,
1.1195541620254517,
-0.508995532989502,
-0.448158860206604,
-0.09049323946237564,
-0.9486309289932251,
1.0987892150878906,
0.035029925405979156,
-0.03999219834804535,
-0.5192289352416992,
-0.34324437379837036,
0.16835707426071167,
-0.6517865657806396,
-0.131482288241386... |
You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be associated with any specific word in the question; instead it should depend on the context present in the question. The expected answer should not be equally likely to fill the blank. For your question, there should be a agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use animals or proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. Avoid repeating the same style, pattern or phrases in each question, try to increase diversity by varying sentence structure, blank placement etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Object X and Y have the same number e.g. when ObjectX is singular, Object Y must be singular, too. The two objects (Object X & Object Y) should be used ONCE in your question. Here is a list of attributes and associated pair of contrastive words which may be used to create a valid question using the objects. You can use either of the contrastive words, but not both. You should think about more such attributes and associated words and use them in your question.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
Input: Consider Input: Context Word: ceiling fans.
Output: Mary brought a chair instead of a step ladder to clean ceiling fans because the _ is lighter to move around.
Input: Consider Input: Context Word: safely.
Output: It is easy to escape safely from a house that is on fire but not from a shed. This is because the _ is flammable.
Input: Consider Input: Context Word: share.
| Output: James cannot share the space on the couch with the box placed on the table because the _ is big.
| 2 | NIv2 | task031_winogrande_question_generation_object | fs_opt | [
0.7498462200164795,
0.5363078713417053,
0.11323979496955872,
0.2131575047969818,
0.6289618015289307,
-0.690520703792572,
0.6425591707229614,
1.172539234161377,
-0.46662598848342896,
-0.5554583072662354,
-0.2097170650959015,
0.3075096607208252,
-0.3009673058986664,
0.041510652750730515,
0... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: それは実用的なものか ？
Student: | É um objeto utilitário? | 6 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
0.21912823617458344,
0.6746047735214233,
-0.07640303671360016,
-0.3462541103363037,
-0.5374488830566406,
-0.739993155002594,
1.0556983947753906,
0.7127400636672974,
0.5567189455032349,
-0.5699177980422974,
-0.6677538156509399,
0.020821237936615944,
-0.49475210905075073,
-0.5161383152008057... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Problem:Manipulamos los niveles de serotonina de la gente dándoles una bebida artificial sabor limón muy desagradable que funciona extrayendo el ingrediente básico para la serotonina en el cerebro.
Solution: | ما میزان سروتونین اونهارا با دادن این نوشابه های با طعم لیموی مصنوعی واقعا بدمزه دستکاری کردیم ما میزان سروتونین اونهارا با دادن این نوشابه های با طعم لیموی مصنوعی واقعا بدمزه دستکاری کردیم که با بردن ترکیبات معدنی برای سروتونین در مغز نقش خودشو ایفا میکنه. که با بردن ترکیبات معدنی برای سروتونین در مغز نقش خودشو ایفا میکنه. | 8 | NIv2 | task1103_ted_translation_es_fa | zs_opt | [
-0.5878876447677612,
0.6161944270133972,
0.13778404891490936,
-1.289609670639038,
-0.3129361867904663,
0.15191923081874847,
0.7045106887817383,
0.864240288734436,
0.6878584623336792,
0.01509123481810093,
-0.5735459327697754,
0.20308591425418854,
-1.171140193939209,
0.480442613363266,
-0.... |
In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
[EX Q]: A border war broke out between Wolfenbüttel and the Archbishop of Magdeburg in 1346 .
In 1346 , a border war between Wolfenbüttel and the Archbishop of Magdeburg broke out .
[EX A]: Paraphrase
[EX Q]: In 2013 , former President Brenda Kuecks received a Clean50 Award for her work to promote clean development and sustainable capitalism in Canada .
Former President Brenda Kuecks received a Clean50 Award for her work to promote sustainable development and clean capitalism in Canada in 2013 .
[EX A]: Not paraphrase
[EX Q]: The Chilean New Song movement was spurred by a renewed interest in Chilean traditional music and folklore in the late 1950s and early 1960s .
The Chilean New Song movement was encouraged in the late 1950s and early 1960s by a renewed interest in traditional Chilean music and folklore .
[EX A]: | Paraphrase
| 6 | NIv2 | task400_paws_paraphrase_classification | fs_opt | [
-0.0803181380033493,
0.5106580257415771,
-0.9083219170570374,
-0.4969952702522278,
-0.43165645003318787,
0.01335584931075573,
1.0006344318389893,
1.2749247550964355,
0.012219710275530815,
0.10704407840967178,
-0.08097827434539795,
0.5905619859695435,
-0.7175930738449097,
0.3193338513374328... |
Definition: Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Input: 如果你想参加摇滚音乐会 那你应该买张票
Output: | 如果你有参加摇滚音乐会的时间表 那你应该买张票 | 2 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.1444244682788849,
0.008038325235247612,
-0.14677000045776367,
0.1485525369644165,
0.1034247949719429,
-0.47700488567352295,
-0.5568573474884033,
0.8188513517379761,
0.32815736532211304,
-0.14343063533306122,
-0.8074507713317871,
0.0489615723490715,
-0.08929945528507233,
0.63104224205017... |
Given the task definition and input, reply with output. In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in order, such as '34' or '25'. The first digit refers to the sentence which should come first in the story.
Title: Doggie. Sentence 1: Alice wanted a dog very badly. Sentence 2: So she found some stray cats and kept them in her backyard. Sentence 3: But she never got one. Sentence 4: She alway asked her mother for Christmas and her birthday. Sentence 5: Her mother never knew.
| 42 | 5 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.6236294507980347,
0.40666836500167847,
0.08410848677158356,
0.22961576282978058,
-0.13986444473266602,
-0.012333852238953114,
0.1651713103055954,
0.3574666380882263,
-0.04139326885342598,
-0.09645558893680573,
-0.6738024353981018,
-0.21762119233608246,
-0.5542806386947632,
0.10530087351... |
Given the task definition and input, reply with output. Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
你可能在一本关于蛇的书里 找到一条蛇
| 你可能会跟着蛇走 在mememe关于蛇。 | 5 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.39367562532424927,
0.5341765880584717,
0.1356242597103119,
-0.06701622903347015,
0.20933285355567932,
0.22730571031570435,
-0.034614309668540955,
0.7284867763519287,
0.2760969400405884,
-0.47426775097846985,
-0.886041522026062,
0.12473978102207184,
-0.27745142579078674,
0.33683130145072... |
Definition: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you should output 0 for that list.
Input: [[21, 35, -31, 34, -40], [31, 1, -29, 0, 0], [-33, 1, 34, 6], [23, 31], [22, -44, -2, 2, 3], [-4, 0, -3, -36], [49, 40, -10, 39], [-13, 48, 35, 43], [39, 14, -40, -20], [5, -6, -17], [47, 8, 48, -17, -8], [34, 21], [13, -32], [37, 34, -8, 11], [-6, 47, 25, 17]]
Output: | [-1360, 0, 204, 0, 3872, 0, -400, 48, 11200, -6, -3072, 34, -32, -272, -6] | 2 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
0.08962063491344452,
0.0672956109046936,
-0.8404073119163513,
-0.050401076674461365,
0.03482775762677193,
-0.09044545888900757,
0.8477940559387207,
0.5956854820251465,
-0.2607142925262451,
-0.1746986210346222,
-1.0691547393798828,
-0.010406289249658585,
-0.3223922848701477,
-0.469473958015... |
Detailed Instructions: In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
Problem:[5, 4, 7, 0, 6, 0, 3, 1, 0]
Solution: | [5, 4, 7, 6, 3, 1] | 8 | NIv2 | task097_conala_remove_duplicates | zs_opt | [
0.15407072007656097,
0.503876805305481,
-0.1632830798625946,
-0.3093804121017456,
0.12732625007629395,
-0.3965824246406555,
0.7421655654907227,
0.5779691934585571,
-0.23274222016334534,
-0.2693079113960266,
-0.7941638231277466,
-0.0623781681060791,
-0.03872418403625488,
0.02020397596061229... |
Definition: In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Input: Response to Second Report of Committee of Independent Experts
Output: | Seguimiento del segundo informe del Comité de Expertos Independientes | 2 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
-0.2590373754501343,
0.5967020988464355,
0.1803244948387146,
-0.2590441107749939,
0.4033586382865906,
-0.37223395705223083,
0.3047025203704834,
0.7947858572006226,
-0.37809109687805176,
0.0371289998292923,
-0.6165085434913635,
-0.053043432533741,
-0.5422685146331787,
0.199951171875,
-0.2... |
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
One example is below.
Q: Jag förklarar debatten avslutad.
A: The debate is closed.
Rationale: Swedish sentence is properly converted into English sentence.
Q: Tack, kommissionär Monti.
A: | Thank you, Commissioner Monti. | 9 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
-0.16815878450870514,
0.5075101256370544,
0.7444751262664795,
-0.5845251083374023,
0.23229996860027313,
-0.7508004903793335,
0.8604531288146973,
-0.09633263945579529,
0.6666252613067627,
-0.17738522589206696,
0.046932920813560486,
0.8348065614700317,
-0.779998242855072,
0.2813049256801605,... |
Categorize the comment on the basis of sexual explicitness. If the comment is sexually explicit output Yes, otherwise output No.
Let me give you an example: hahahahahahahahhha suck it.
The answer to this example can be: Yes
Here is why: The comment has the word 'suck' in it and is classified as sexually explicit. Hence, it is a positive example
OK. solve this:
Boozer: That's quite an answer.....I think you address about a dozen of the major interwoven issues. I hope your comments are widely read as they provide a real incentive for people to think about things most would rather just take them for granted and not peek behind the curtain. Thanks for publishing them....regards, Gary
Answer: | No | 8 | NIv2 | task1723_civil_comments_sexuallyexplicit_classification | fs_opt | [
-1.0960545539855957,
0.32569071650505066,
0.385109543800354,
0.4002947211265564,
-0.0725000649690628,
-0.4212460219860077,
0.4377750754356384,
0.3862813115119934,
0.5060216188430786,
0.06494183838367462,
-0.2516304850578308,
0.13911743462085724,
-0.4315018355846405,
-1.0197099447250366,
... |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
[Q]: [-124, 689, 80, -73, -644]
[A]: [-120, 690, 80, -70, -640]
[Q]: [808, 458, -330, 533, -27, -543, -638, -129, 570]
[A]: [810, 460, -330, 530, -30, -540, -640, -130, 570]
[Q]: [818, -539, -555, 977, -882, -88, 646, -544, -960, -730, -623, 706, -804]
[A]: | [820, -540, -560, 980, -880, -90, 650, -540, -960, -730, -620, 710, -800]
| 5 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.7814607620239258,
0.5049322247505188,
-0.017995484173297882,
-0.6700765490531921,
-0.3517211675643921,
-0.32608750462532043,
0.6050889492034912,
-0.20228450000286102,
-0.568801760673523,
-0.030784308910369873,
-0.7578825950622559,
0.2690732479095459,
-0.5518224239349365,
0.2087714970111... |
Part 1. Definition
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Part 2. Example
Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Answer: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.
Explanation: The Portugese sentence is correctly translated into Spanish, because the meaning is preserved.
Part 3. Exercise
Nenhum outro aparelho tem sido capaz de fazer isto.
Answer: | Ningún otro aparato ha podido hacer esto. | 7 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
-0.09012311697006226,
1.2939029932022095,
0.36122700572013855,
-0.5058490037918091,
-0.20210467278957367,
-0.1836501657962799,
0.5647130012512207,
0.36055755615234375,
0.3991757929325104,
-0.6737877726554871,
-0.8913553953170776,
-0.0500502735376358,
-0.571162760257721,
0.05763419345021248... |
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
[Q]: This product sucks and did nothing that it said it would do! I wish I could send it back...what a waste of money!!!
[A]: Negative Review
[Q]: I am typing this review from my NewTrent 38B Wireless Keyboard on my iPad2. So far so good. First of all, set-up is simple. Plug-in the USB charger to charge the keyboard battery for 3 hours on your initial use. Can't wait to try it out? No problem, the keyboard is fully functional while it is charging. The keyboard pairs to the iPad via Bluetooth. Again, simple. Just type in the code on your iPad screen and ensure it is connected and you're done.<br /><br />My biggest complaint with using the iPad has always been the terrible typing interface. The iPad is a powerful tool, but I wouldn't spend the money on one over a laptop or iPhone if I had to choose. This keyboard (so far) solves that. I love the functionality of the iPad and larger screen size. One negative, however, is that autocorrect seems to be disabled while using the keyboard. Before, while awkwardly thumb-typing, most of my mistakes were conveniently fixed without notice. With this keyboard, that is no longer the case. I also haven't discovered a way to pull up the native iPad keyboard, thus, I can only use the NT38B to type.<br /><br />The case holds the iPad securely, however, the iPad cannot be in a protective case. This thin plastic case likely offers little to no protection if I were to drop it, but I am not willing to test that theory. The case does allow you to position the screen in 3 different settings for both landscape and portrait settings, so that's pretty great, although it does make the case top-heavy if resting on your lap. You can also leave the iPad in its own case and use the keyboard entirely separate from the iPad, as long as you are within ~30 feet of the device.<br /><br /> The small size of the keyboard may be bothersome for some, but for a lightweight compact solution, it is excellent. The keys are responsive without requiring very much pressure, and the fn keys offer additional controls to the iPad.<br /><br />Overall, I am very pleased with this device. I would recommend it foranyone looking for an affordable compact solution for typing on the iPad.
[A]: Positive Review
[Q]: This was a perfect pairing with my cyber-shot camera I have use that camera on five different occasions and still haven't downloaded yet.
[A]: | Positive Review
| 5 | NIv2 | task1343_amazon_us_reviews_rating | fs_opt | [
0.5799700021743774,
0.7081150412559509,
-0.6371768712997437,
-0.5731396675109863,
0.4791032075881958,
0.01053800992667675,
0.9216017723083496,
0.8997687101364136,
0.02423538640141487,
0.3990439176559448,
0.31493717432022095,
0.46635863184928894,
-0.5361359715461731,
-0.3961281478404999,
... |
Given the task definition and input, reply with output. Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) original network, 15) parent company, 16) point in time, 17) production company, 18) residence, 19) series, 20) service entry, 21) sex or gender, 22) spouse, 23) standards body question.
Context : Bahar Dutt is the sister of well-known journalist Barkha Dutt.
Question : Was Bahar Dutt male or female?
| sex or gender | 5 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
-0.5425610542297363,
0.19795352220535278,
0.05414425581693649,
-0.40422511100769043,
0.2279006838798523,
0.4473656415939331,
0.05401826277375221,
0.469351589679718,
0.4963640570640564,
0.13791608810424805,
-1.063206672668457,
0.41227760910987854,
-0.5377333760261536,
-0.08807037025690079,
... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.
[EX Q]: ['In the 1948 motion picture Velvet Touch, Sydney Greenstreet was casted as Capt. Danbury.', 'Bulworth was nominated for Best Original Screenplay at the 71st Academy Awards.']
[EX A]: DISSIMILAR
[EX Q]: ['The Twenty Two provides Indian food', 'Indian provides The Twenty Two food']
[EX A]: DISSIMILAR
[EX Q]: ['AFC Ajax operate Sportpark De Toekomst.', 'AFC Ajax is operated by Sportpark De Toekomst.']
[EX A]: | DISSIMILAR
| 6 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.19917748868465424,
0.44109153747558594,
-0.16798925399780273,
-0.2277141511440277,
-0.5872566103935242,
0.26139596104621887,
0.7470405101776123,
0.752072274684906,
0.5452511310577393,
-0.3248806595802307,
-0.4569944739341736,
-0.19666096568107605,
-0.3867034614086151,
-0.121285848319530... |
Detailed Instructions: In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Problem:Trei câini aleargă printr-un câmp.
Solution: | Three dogs run through a field. | 8 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
-0.6821586489677429,
0.7305246591567993,
-0.6943078637123108,
-0.19577810168266296,
-0.49149054288864136,
-0.309106707572937,
0.529714822769165,
0.5900664329528809,
-0.12080588936805725,
-0.3565008342266083,
-0.4459950923919678,
0.7401827573776245,
-0.6488544940948486,
-0.21751609444618225... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Qui c'è la medusa mortale con le ali ad X.
Solution: Aquí esta la medusa ala-x de la muerte.
Why? The Italian sentence is correctly translated into Spanish, because the meaning is preserved.
New input: Ecco perché usiamo tutto questo nastro adesivo
Solution: | Por eso uso suficiente cinta adhesiva. | 0 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.00873370561748743,
0.6111156940460205,
-0.5247169733047485,
-0.210306316614151,
-0.7983183264732361,
-0.4523066580295563,
0.5822837352752686,
1.0902942419052124,
-0.1824333667755127,
-0.38985422253608704,
-0.3141070008277893,
-0.11544271558523178,
-0.14873841404914856,
0.729784667491912... |
Q: You are given a statement written in Tamil. 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: ராம்நாத் கோயங்கா <MASK> மாநிலத்தின் வட பகுதியில் உள்ள தர்பங்காவில் தில்தர் நகர் என்ற கிராமத்தில் 18-04-1904-ல் பிறந்தார். இவர் ஆறு மாத குழந்தையாய் இருக்கும் போதே இவரது தாயார் இறந்துவிட்டதால் இவருடைய அத்தை வசந்தாலால் கோயங்கா என்பவரால் தத்து எடுக்கப்பட்டு அவரின் பராமரிப்பில் வளர்க்கப்பட்டார். இவருடைய அத்தை பெரும் நிலக்கிழாராக இருந்தார். வாரணாசியில் தனது தொடக்கக் கல்வியை முடித்ததும் எவர் கையையும் எதிர்பாராமல் வியாபாரத்தில் ஈடுபடத் தீர்மானித்தார். மூங்கிபாய் என்பவரை திருமணம் செய்துகொண்டார்.
Option A: கொல்கத்தா
Option B: பிகார்
Option C: தினமணி
Option D: அந்தோரா
A: | பிகார் | 7 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | zs_opt | [
0.5659378170967102,
0.9737836718559265,
0.417052686214447,
0.11932753771543503,
-0.18982529640197754,
-0.4508111774921417,
-0.25700896978378296,
0.8031861782073975,
-0.4504433274269104,
0.04704301431775093,
-0.5824275016784668,
0.26644033193588257,
-0.9775046110153198,
-0.3744221329689026,... |
Part 1. Definition
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
Part 2. Example
['238', 'h', '92', 'U', '2799']
Answer: 2, 4
Explanation: Here, the alphabetical elements in the input list are 'h' and 'U' and they are at positions '2' and '4', respectively.
Part 3. Exercise
['6485', 'B', 'l', 'H', 'v', 'T', '3393', '3901']
Answer: | 2, 3, 4, 5, 6 | 7 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
0.020621391013264656,
0.4218989610671997,
-0.11447057127952576,
-0.5455952286720276,
0.4340614080429077,
-0.07253023982048035,
1.2177419662475586,
-0.09675964713096619,
-0.2770923376083374,
-0.048078883439302444,
-0.8595714569091797,
-0.23195913434028625,
0.24469751119613647,
-0.1723795235... |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common', 'cvg', 'opera', 'olympics', 'chemistry', 'visual_art', 'conferences', 'sports', 'language', 'travel', 'location', 'award', 'dining', 'martial_arts', 'comic_strips', 'computer', 'user', 'tennis', 'music', 'organization', 'food', 'event', 'transportation', 'fictional_universe', 'measurement_unit', 'meteorology', 'distilled_spirits', 'symbols', 'architecture', 'freebase', 'internet', 'fashion', 'boats', 'cricket', 'film', 'medicine', 'finance', 'comic_books', 'celebrities', 'soccer', 'games', 'time', 'geography', 'interests', 'common', 'base', 'business', 'periodicals', 'royalty', 'education', 'type', 'religion', 'automotive', 'exhibitions'.
One example is below.
Q: What country has borders with Libya, Sudan and Israel?
A: location
Rationale: This question is about a physical place, so is classified as 'location'
Q: Whose resignation prompted the Eastleigh by-election in February 2013?
A: | government | 9 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.008572283200919628,
0.23518173396587372,
0.0842512920498848,
-0.3272411525249481,
0.5724355578422546,
-0.0702248066663742,
-0.04065265506505966,
0.2785685956478119,
-0.04351156949996948,
-0.09469649195671082,
0.04016977548599243,
0.019284579902887344,
-0.3589414954185486,
-0.050773024559... |
Definition: This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.
Input: ['A Japanese coffee shop called The Punter is situated near Café Sicilia. High customer ratings and a little pricey at £20-£25, not child friendly.', 'Mid price ranged The Punter serves Japanese food in a highly rated coffee shop near Café Sicilia; sorry not child friendly.']
Output: | SIMILAR | 2 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
-0.4635479748249054,
-0.33151209354400635,
-0.04409586638212204,
-0.3525441288948059,
0.01876601204276085,
0.8699559569358826,
1.5593700408935547,
0.09030476212501526,
0.9150997400283813,
0.07191623747348785,
-0.6358647346496582,
-0.16288429498672485,
-0.7302026748657227,
0.518787324428558... |
Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios.
Problem:Oliver entered the dining_room. Liam entered the dining_room. The onion is in the red_box. Liam exited the dining_room. Oliver moved the onion to the green_box. Evelyn entered the master_bedroom. Liam entered the master_bedroom. The broccoli is in the green_drawer. Liam exited the master_bedroom. Evelyn moved the broccoli to the red_drawer. Aria entered the study. Liam entered the study. The lime is in the blue_box. Liam exited the study. Aria moved the lime to the blue_envelope. Oliver entered the master_bedroom. Evelyn is in the master_bedroom. The broccoli is in the red_drawer. Evelyn exited the master_bedroom. Oliver moved the broccoli to the green_drawer. Where will Evelyn look for the broccoli?
Solution: | red_drawer | 8 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
-0.418526828289032,
-0.39034610986709595,
-0.3508257269859314,
-0.09929628670215607,
-0.5281964540481567,
-0.2847088575363159,
-0.06646549701690674,
0.44513171911239624,
0.17727220058441162,
-0.1607062816619873,
-0.32650673389434814,
0.6500391960144043,
-0.23169097304344177,
0.365535944700... |
In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
One example: Ulwakhiwo neempawu zentsinga zemifuno.
Solution is here: Construction and characteristics of vegetable fibre cordage.
Explanation: 'Ulwakhiwo neempawu' means construction/make-up and characteristics, 'zentsinga zemifuno' roughly translates to 'of fibre from vegetables'.
Now, solve this: Iofisa eqhuba inqanawe, iba seyilungise icebo loku hlisa iankile zenqanawe ukuze isantya senqanawe sibenoku-hla nenjini ibenekuma ngexesha eleneleyo.
Solution: | The Navigating Officer meanwhile has prepared an anchoring plan so that the ship's speed may be reduced and then the engines stopped in sufficient time. | 6 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | fs_opt | [
-0.1520063579082489,
0.5365759134292603,
0.22094480693340302,
-0.27515602111816406,
-0.03212347626686096,
-0.5668905973434448,
1.0491951704025269,
0.46301618218421936,
0.033676810562610626,
-0.0885382890701294,
-0.5363962054252625,
-0.23465335369110107,
-0.7047243118286133,
0.3770591616630... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: if 13 men do a work in 80 days , in how many days will 20 men do it ?
Options: a ) 18 days , b ) 38 days , c ) 42 days , d ) 48 days , e ) 52 days
Output: | e | 1 | NIv2 | task1422_mathqa_physics | zs_opt | [
0.20121857523918152,
0.3675154149532318,
-0.36000657081604004,
-0.2673734426498413,
-0.2419770359992981,
-0.28966662287712097,
0.5358615517616272,
0.1945606768131256,
-0.24731023609638214,
-0.19228610396385193,
-0.65812087059021,
0.24185675382614136,
0.1884065866470337,
-0.3214999437332153... |
Q: A question is presented to you in this task, and your job is to write a potentially correct answer.
who is queen elizabeth 1 father?
A: | Henry VIII of England | 7 | NIv2 | task1412_web_questions_question_answering | zs_opt | [
-0.0413094088435173,
1.6470433473587036,
-0.4794158935546875,
-1.442725658416748,
-1.1221297979354858,
-0.39071136713027954,
0.48756110668182373,
0.69576096534729,
0.5616564750671387,
-0.7317160367965698,
0.2253234088420868,
-0.22501644492149353,
-0.7474172115325928,
-0.683158814907074,
... |
Q: This task is about translating a given English language sentence to Yoruba language.
However, Spanish congregations worldwide will receive printed copies as soon as they are available.
A: | Àmọ́, àwọn ìjọ tó ń sọ èdè Sípáníìṣì máa rí ẹ̀dà Bíbélì yìí gbà ní kété tó bá ti wà lárọ̀ọ́wọ́tó. | 7 | NIv2 | task1685_menyo20k_translation | zs_opt | [
0.5163123607635498,
1.0874985456466675,
0.17434395849704742,
0.20505642890930176,
-0.15409278869628906,
-0.8544408082962036,
-0.535770058631897,
0.27893829345703125,
0.34578296542167664,
-0.49596327543258667,
0.17358934879302979,
0.5900870561599731,
-0.5423398017883301,
0.37855029106140137... |
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Ex Input:
Sentence: 'a woman riding a skateboard across a cement surface'. Is 'skateboard' the longest word in the sentence?
Ex Output:
Yes
Ex Input:
Sentence: 'this is some luggage on a conveyor belt'. Is 'belt' the longest word in the sentence?
Ex Output:
No
Ex Input:
Sentence: 'the snowboarder is midjump flying through the air'. Is 'the' the longest word in the sentence?
Ex Output:
| No
| 1 | NIv2 | task114_is_the_given_word_longest | fs_opt | [
-0.42982131242752075,
0.8684909343719482,
-0.6795344948768616,
0.010973719879984856,
0.20607838034629822,
-0.3005024194717407,
-0.297303169965744,
0.9136508703231812,
0.48443031311035156,
-0.48759663105010986,
-0.6709589958190918,
0.32911330461502075,
0.050322264432907104,
-0.1506188809871... |
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 a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. You can use context to find the motivation; however, all the inputs do not provide context. Also, in some inputs, there can be zero motivation; output, 'None' in this case.
Context: Jake was frustrated from work.
Sentence: He decided to go for a walk at night.
Character: Jack
Solution: to have fun
Why? Jack was frustrated from work; so, little walk at night can refresh his mood and he can have fun.
New input: Context: John stole a car with his friends. They had a great time joyriding - for a few minutes.
Sentence: Then the ignition locked!
Character: Friends
Solution: | None | 0 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
-0.008950733579695225,
0.40539050102233887,
-0.24824057519435883,
-0.07489554584026337,
-0.11297943443059921,
0.12339382618665695,
0.8666098117828369,
0.48175400495529175,
0.21122071146965027,
0.04124641790986061,
-0.2960168719291687,
-0.344661682844162,
-0.2904125452041626,
0.001753438380... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is capable of the Tail or not. Being capable of something includes general capabilities, such as a human is capable of thinking and reasoning or drinking coffee. It also includes specialized capabilities such as a surgeon is capable of operating on a patient. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX accidentally threw ___<sep>Tail: hits something | No | 0 | NIv2 | task1215_atomic_classification_capableof | zs_opt | [
0.12112988531589508,
0.5432151556015015,
0.6936337947845459,
-0.1186312660574913,
-0.30370432138442993,
-0.3093782067298889,
1.2602806091308594,
0.41820865869522095,
-0.043857231736183167,
-0.6136365532875061,
-0.7331099510192871,
-0.1978141963481903,
-0.3155384361743927,
0.404147207736969... |
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.
[EX Q]: Lake Placid, New York is part of New York and is served by the Adirondack Regional Airport.
[EX A]: [['Lake Placid, New York', 'IS_PART_OF', 'New York'], ['Adirondack Regional Airport', 'CITY_SERVED', 'Lake Placid, New York']]
[EX Q]: The 8th series of Heartbeat, which aired in 1998-1999, ranked the 5th with an average audience share of 14.35m.
[EX A]: [['8', 'RANK', '5th'], ['8', 'AVERAGE_AUDIENCE_SHARE', '14.35m'], ['[TABLECONTEXT]', '[TITLE]', 'Heartbeat (UK TV series)'], ['8', 'YEAR', '1998-1999'], ['[TABLECONTEXT]', 'SERIES', '8']]
[EX Q]: Near the Yippee Noodle Bar is a Fast food place called Alimentum and is on the riverside, serves fast food, and also has a customer rating of 1 out of 5.
[EX A]: | [['Alimentum', 'food', 'Fast food'], ['Alimentum', 'customer rating', '1 out of 5'], ['Alimentum', 'area', 'riverside'], ['Alimentum', 'near', 'Yippee Noodle Bar']]
| 6 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
0.41145217418670654,
-0.2597772181034088,
-0.7291513681411743,
-0.48171958327293396,
0.38201701641082764,
-0.009415820240974426,
0.5401134490966797,
0.5781979560852051,
-0.1648319661617279,
-0.3618924617767334,
-0.6471333503723145,
-0.022321883589029312,
-0.6340293884277344,
0.609803497791... |
Detailed Instructions: In this task, you need to count the number of times the given letter appears in the given sentence.
Q: Sentence: 'a truck driving down the road with an animal in the back'. Find frequency of the letter 'l'
A: | 1 | 9 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-1.3484971523284912,
0.46468690037727356,
0.02772676572203636,
-0.11635610461235046,
-0.8164392709732056,
0.6166278123855591,
0.17350605130195618,
0.6066166758537292,
-0.6575227975845337,
-0.3440896272659302,
-0.5460633039474487,
-0.27897071838378906,
-0.01238672062754631,
0.55465340614318... |
Given the task definition and input, reply with output. You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your question. Avoid repeating the same style, pattern, or phrases in each question, try to increase diversity by varying sentence structure, blank placement, etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Person X and Person Y have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Context Word: easily.
| PersonX easily beat PersonY when they competed in the archery contest, because _ was a professional. | 5 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.46302372217178345,
0.7667872309684753,
0.1396176815032959,
0.026774805039167404,
-0.09572023153305054,
-0.07045210897922516,
0.5482343435287476,
0.5054421424865723,
0.11479345709085464,
-0.6648492217063904,
-0.6111177206039429,
-0.07761359214782715,
-0.175123929977417,
0.1686712205410003... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'.
[Q]: Person1: Happy Birthday , Mary !
Person2:Thank you .
Person1: Here is a gift for you . I hope you like it .
Person2:What a lovely dog ! How did you know I love this ?
Person1: I had my own ways of finding out . It's a secret . You look so beautiful today . Your new shirt goes well with your skirt .
Person2:Maybe you don't believe it , but it was made by my grandmother .
Person1: Really ? It looks so nice .
Person2:Thank you . Please have a cup of tea .
Person1: All right .
Person2:How about some fish ?
Person1: No , thanks . I've had enough . Now , Mary , before you blow out the birthday candles , you have to make a wish . After that , you may cut the cake .
Person2:OK , let me make a wish ... Do you want a big piece of cake ?
Person1: No , just a small one . Next let's sing ' Happy Birthday ' to Mary .
Person2:It is very kind of you . I'm so moved by you .
[A]: informal
[Q]: Person1: Can I help you ?
Person2:Yes.When is the next train to New York City ?
Person1: Let me see ... the train to New York City ... here it is ... daily except Sunday at ten thirty , twelve twenty and fifteen ten .
Person2:Aren't there any trains before ten thirty ?
Person1: Sorry , not before ten thirty .
Person2:Then one to New York at ten thirty .
Person1: One way or round trip ?
Person2:One way .
Person1: A soft seat or hard one ?
Person2:How much is a soft ?
Person1: 15 dollars.And for a hard one , only 6 dollars .
Person2:Then one hard seat , please .
Person1: OK.Here is your change.The train leaves on platform 8 .
[A]: formal
[Q]: Person1: You're going to Shanghai tomorrow , are you ?
Person2:That's right . Do you think it'll be cold ?
Person1: It might be . You'd better take a heavy sweater with you.The nights are usually quite cold at this time of year .
Person2:Do you think I'll need a cotton coat ?
Person1: Not for now , I think , But I believe there'll be rain , so take your raincoat with you .
[A]: | formal
| 5 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
0.5315665006637573,
0.3105827867984772,
-0.5819951891899109,
-0.09707091748714447,
0.07083623111248016,
-0.6141632199287415,
0.5065011382102966,
0.4889599680900574,
-0.066348135471344,
-0.007256120443344116,
-0.16700266301631927,
-0.15852487087249756,
-0.11122190952301025,
0.52269107103347... |
Construct a question that every answer in the list is correct and reasonable for it.
Example Input: rocks, animals, poop, hose, toys, sprinkler
Example Output: name something you would wan't to run over with your lawnmower.
Example Input: drill, needle, pliers, my teeth, bill, gums
Example Output: name something you'd hate to see your dentist holding.
Example Input: bathroom, car, kitchen, basement, porch
Example Output: | tell me somewhere people have a tv that you think is ridiculous.
| 3 | NIv2 | task821_protoqa_question_generation | fs_opt | [
-0.0749460905790329,
0.7154440879821777,
-0.5584113597869873,
-0.0848672091960907,
0.12349262088537216,
-0.9732149839401245,
-0.42829763889312744,
0.28921908140182495,
-0.11201357841491699,
0.2553977370262146,
-0.1206023097038269,
0.7171693444252014,
-0.05964767187833786,
-1.08260250091552... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Y si todo sigue igual, vamos a irnos a la quiebra. | And if it's business as usual, we're going out of business. | 0 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.13276846706867218,
1.4038254022598267,
0.49636292457580566,
-0.1908366084098816,
0.034208886325359344,
0.2940298914909363,
0.07778415083885193,
1.117999792098999,
0.3414260745048523,
0.045108214020729065,
-0.24291709065437317,
-0.10686270892620087,
-0.9554253816604614,
0.342266976833343... |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Let me give you an example: Sentence: David A. DiLoreto , president of metal container division , was named *-1 to the additional post of group vice president , packaging products , at this packaging {{ , }} industrial and aerospace products concern , *-1 succeeding Delmont A. Davis , who *T*-3 was named *-2 president and chief operating officer in August .
Word: ,
The answer to this example can be: .
Here is why: ',' is assigned the period (.) symbol since it denotes a punctuation.
OK. solve this:
Sentence: The results reflected a 24 % gain in income from {{ its }} finance businesses , and a 15 % slide in income from insurance operations .
Word: its
Answer: | PRON | 8 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.4016619920730591,
0.2985883951187134,
-0.08596207201480865,
-0.05997025966644287,
-0.08785930275917053,
-0.4677942395210266,
0.6381151676177979,
0.6921921968460083,
-0.395873486995697,
0.027615904808044434,
-0.7399013638496399,
0.12206858396530151,
-0.7573219537734985,
0.4361053109169006... |
Q: A text is given in Hindi. Translate it from the Hindi language to the Panjabi language. The translation must not omit or add information to the original sentence.
इसमें मेक इन इंडिया, स्टार्टअप इंडिया, डिजिटल इंडिया और स्वच्छ भारत जैसी पहलों की चर्चा की गई है जिससे भारत पूरी दुनिया में सबसे अधिक आकर्षक उत्पादन और व्यापार केन्द्र के रूप में उभरा है।
A: | ਇਸ ਵਿੱਚ ਮੇਕ ਇੰਨ ਇੰਡੀਆ, ਸਟਾਰਟਅੱਪ ਇੰਡੀਆ, ਡਿਜੀਟਲ ਇੰਡੀਆ ਅਤੇ ਸਵੱਛ ਭਾਰਤ ਜਿਹੇ ਪਹਿਲੂਆਂ ਦੀ ਚਰਚਾ ਕੀਤੀ ਗਈ ਹੈ ਜਿਸ ਨਾਲ ਭਾਰਤ ਪੂਰੀ ਦੁਨੀਆ ਵਿੱਚ ਸਭ ਤੋਂ ਅਧਿਕ ਆਕਰਸ਼ਕ ਉਤਪਾਦਨ ਅਤੇ ਵਪਾਰ ਕੇਂਦਰ ਵਜੋਂ ਉੱਭਰਿਆ ਹੈ। | 7 | NIv2 | task1011_pib_translation_hindi_punjabi | zs_opt | [
0.6804506778717041,
0.6327745914459229,
0.22650444507598877,
-0.03259642794728279,
-0.1709858924150467,
-0.12669602036476135,
-0.25538942217826843,
0.012621898204088211,
-0.3053678572177887,
0.2839270234107971,
-0.6134803295135498,
0.024300526827573776,
-0.016174960881471634,
0.02497770823... |
Q: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX affords PersonY protection<sep>Tail: good person
A: | No | 7 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.1138232946395874,
0.21569684147834778,
0.4642148017883301,
-0.3976362943649292,
-0.48386192321777344,
-1.313507318496704,
1.2664448022842407,
0.44692450761795044,
-0.36473384499549866,
-0.5867194533348083,
-0.27997586131095886,
-0.21987751126289368,
-0.9479464292526245,
0.455680042505264... |
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
I got a Kindle keyboard for Christmas 2010. I bought a red lighted cover at the end of December. It protects the Kindle's screen and makes it much easier for me to find when I set it down and forget where I put it. I don't think the cover is too heavy. I carry my kindle with me almost everywhere, and the cover has done a great job of protecting it. One of the hinges broke in late October. The Kindle wouldn't stay in the cover and the light didn't want to work. I contacted the Kindle customer support from my Kindle page, NOT the regular Amazon customer support. I was able to get live support. Once I explained the problem, the rep placed an order for a new cover and sent me a label to mail back the broken one. I had the new cover in days. I couldn't be happier. I think the cover was worth the price. | Love my Kindle cover! | 0 | NIv2 | task1342_amazon_us_reviews_title | zs_opt | [
-0.4536822736263275,
0.6351643800735474,
-0.21859970688819885,
-0.9530303478240967,
-0.3676701784133911,
-0.4619499742984772,
0.8512698411941528,
0.45217886567115784,
-0.3085803985595703,
0.3552001714706421,
0.7033334374427795,
-0.0851479321718216,
-0.814987063407898,
0.3164137005805969,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Example: Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Example solution: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.
Example explanation: The Portugese sentence is correctly translated into Spanish, because the meaning is preserved.
Problem: E o mais interessante é que quando esta bactéria tiver bebés, os bebés também terão em si o ADN do vírus.
| Solution: Y lo interesante es que cuando esta bacteria tiene hijos, esos hijos también tienen dentro el ADN del virus. | 5 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
-0.25360122323036194,
0.6749815940856934,
0.0990930050611496,
-0.4084395170211792,
-0.5891938805580139,
-0.7394946813583374,
0.28998154401779175,
0.652548611164093,
0.30998730659484863,
-0.3586239516735077,
-0.7710649967193604,
0.2841861844062805,
-0.731852650642395,
0.5274243354797363,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens before the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: PersonX buys a coffee<sep>Tail: PersonX sits down at a table | Yes | 0 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.37999024987220764,
0.054960764944553375,
0.1792566329240799,
-0.06986702233552933,
-0.616768479347229,
-0.18612203001976013,
1.096616506576538,
0.39841228723526,
-0.3393559753894806,
-0.4372297525405884,
-0.29263392090797424,
-1.0098495483398438,
-0.31633347272872925,
0.26014620065689087... |
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your question. Avoid repeating the same style, pattern, or phrases in each question, try to increase diversity by varying sentence structure, blank placement, etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Person X and Person Y have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
[EX Q]: Context Word: NOTES.
[EX A]: PersonX received a higher score, on the test, than PersonY because _ 's study notes were amazing.
[EX Q]: Context Word: cinematographer.
[EX A]: Becoming a cinematographer was a dream for PersonX but not PersonY, as _ always had attention to detail.
[EX Q]: Context Word: Abused.
[EX A]: | For many years, PersonX often abused PersonY during their time together. _ often dreamed of asking for forgiveness.
| 6 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.2940513491630554,
0.15882635116577148,
0.0856199562549591,
0.15333199501037598,
0.08079288899898529,
-0.47638317942619324,
0.2923992872238159,
0.7814964652061462,
-0.09852136671543121,
-0.7677896618843079,
-0.19436302781105042,
-0.18066085875034332,
-0.49549126625061035,
-0.2022703438997... |
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.
Q: Ana Luisa Bronfman Weinstein was born on 18 December, 1931 in Santiago, Chile to Ida Weinstein Rudoy and Samuel Bronfman. _Her_ mother's family were immigrants from Ukraine and her father's family were immigrants from Tsarist Russia. <sep>, Pronoun: Her <sep>, A: Ana Luisa Bronfman Weinstein <sep>, B: Ida Weinstein Rudoy
A: | A | 4 | NIv2 | task329_gap_classification | zs_opt | [
-0.2943461537361145,
0.7020407915115356,
-0.07026088237762451,
0.02953096479177475,
-0.5722008943557739,
0.9843642711639404,
0.6585345268249512,
1.4464747905731201,
0.52928227186203,
-0.1908283233642578,
-0.5997779965400696,
-0.02089821733534336,
-0.6504759788513184,
-0.6803240776062012,
... |
Given the task definition and input, reply with output. In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Sentence 1: The couple was moving to Mexico. Sentence 2: THey saw a casita online that they wanted to rent. Sentence 3: When they arrived, it was much smaller than they expected. Sentence 4: It was also very dirty. Sentence 5: They were not prepared to live in this tiny house! Choices: a. The Broken Frame. b. The Casita.
| b | 5 | NIv2 | task220_rocstories_title_classification | zs_opt | [
-0.2643652856349945,
0.17643816769123077,
-0.06373043358325958,
0.31787627935409546,
-0.023083161562681198,
0.24019861221313477,
0.12030762434005737,
0.9880234003067017,
0.03156939521431923,
0.25561994314193726,
-0.8074861168861389,
-0.21711137890815735,
-0.278452068567276,
-0.263420194387... |
In this task, you need to count the number of times the given letter appears in the given sentence.
[EX Q]: Sentence: 'two elephants facing each other touching trunks in an enclosure'. Find frequency of the letter 'f'
[EX A]: 1
[EX Q]: Sentence: 'a group of giraffes walk together by a hill'. Find frequency of the letter 'b'
[EX A]: 1
[EX Q]: Sentence: 'a group of people that are standing in the street'. Find frequency of the letter 'l'
[EX A]: | 1
| 6 | NIv2 | task113_count_frequency_of_letter | fs_opt | [
-0.8896973133087158,
0.4753361940383911,
-0.3550262749195099,
-0.7364159226417542,
-0.054032787680625916,
-0.449954628944397,
0.7084940075874329,
-0.17646834254264832,
-0.390328049659729,
-0.14311392605304718,
-0.822608470916748,
0.36100947856903076,
-0.40102022886276245,
0.206779047846794... |
Detailed Instructions: This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
Problem:పొడవు 10 - $ 9.84 USD 11 - $ 9.84 USD 12 - $ 9.84 USD 13 - $ 9.84 USD 14 - $ 9.84 USD దయచేసి మీకు కావలసిన పొడవును వ్రాయండి - $ 9.84 USD
Solution: | Telugu | 8 | NIv2 | task1618_cc_alligned_classify_tel_eng | zs_opt | [
0.15248429775238037,
0.20445331931114197,
0.18624253571033478,
-0.13656139373779297,
-0.38299113512039185,
-0.7883691787719727,
0.34933894872665405,
0.0348508358001709,
-0.2848147749900818,
-0.5097151398658752,
-0.15357491374015808,
-0.32525432109832764,
-0.5115362405776978,
-0.34367537498... |
In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
One example: Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly. Sentence 5: Marcus was happy to have the right clothes for the event. Choices: a. Marcus Buys Khakis. b. Marcus Works.
Solution is here: a
Explanation: Marcus's reasons for buying khakis is established, followed by his purchase of them and reaction.
Now, solve this: Sentence 1: Nancy could hardly see in her bedroom. Sentence 2: All her lightbulbs were burned out! Sentence 3: She had one left in her pantry. Sentence 4: She tried to screw it into the fixture. Sentence 5: She slipped and dropped it on the floor, breaking it. Choices: a. Out of Gas. b. The Lightbulb.
Solution: | b | 6 | NIv2 | task220_rocstories_title_classification | fs_opt | [
0.3203946650028229,
0.36624252796173096,
-0.06491678953170776,
0.08377912640571594,
-0.1460566371679306,
-0.3789424002170563,
0.7509498596191406,
1.2979674339294434,
0.10090614855289459,
0.5521345138549805,
-1.1256046295166016,
0.008400637656450272,
-0.4183773994445801,
0.00510968454182148... |
Given the task definition and input, reply with output. You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit; (c) it does not contain three repeating characters in a row. In one step you can: (1) Insert one character to password, (2) delete one character from password, or (3) replace one character of password with another character.
password = XAI95Had7ure
| 0 | 5 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.20292706787586212,
1.0934901237487793,
-0.13144013285636902,
-0.4913557171821594,
-0.22568248212337494,
-0.11909392476081848,
1.2228527069091797,
-0.08319089561700821,
0.3089179992675781,
-0.8394144177436829,
-0.1281033754348755,
-0.38913246989250183,
-0.8878815770149231,
-0.085142031311... |
Instructions: Given a part of privacy policy text, identify the purpose for which the user information is collected/used. The purpose should be given inside the policy text, answer as 'Not Specified' otherwise
Input: An unnamed third party does see your user profile for a purpose outside of our label scheme.
Output: | Other | 3 | NIv2 | task683_online_privacy_policy_text_purpose_answer_generation | zs_opt | [
-0.7859910726547241,
0.29118213057518005,
-0.5421353578567505,
-0.09594549238681793,
-0.6817910671234131,
-0.8146530389785767,
-0.14707233011722565,
-0.19766955077648163,
0.1770162582397461,
0.7868229746818542,
0.6433654427528381,
0.1667904257774353,
0.18326014280319214,
-0.707658290863037... |
In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabets are Tied'.
[Q]: ['3629', 'd', 'P', 'd', 'T', '3045', 'U', '1699', '9095', 'h', 'Y', '7143', '3699', '9197', '8675', 'M', 'k', 'K', 'A', 's']
[A]: Alphabets Win
[Q]: ['o', 'o', 'X', '781', '1241', '9881', 'l', 'r', '1847', '9879', '6927', 'R', 'H', '4503', '9627', 'V', '69', '11', 'L', 'G', 'B', '1169', 'I', '2933', '1781', 'X', 'g', '1801', '4469', '2797', '4053', '5971', '1457', 'J', 'c', 'V', 'q', '8531', '3711', '9277', 'z', '6159', 'g', '7871', 'j']
[A]: Numbers Win
[Q]: ['J', '4983', 'g', '7295', '5901', 'E', 'w', '6859', 'w']
[A]: | Alphabets Win
| 5 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt | [
0.1980256289243698,
0.1974712610244751,
-0.684409499168396,
-0.28651636838912964,
-0.19850881397724152,
-0.34773582220077515,
0.6091893911361694,
0.37246131896972656,
-0.635043203830719,
0.21215471625328064,
-1.014967441558838,
-0.15031680464744568,
-0.3537304103374481,
0.12393054366111755... |
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix' instead of 'one thousand seven hundred six'.
Example input: twotwoonesixzeronine
Example output: 221609
Example explanation: The string is properly converted into a number based on the spelling of each digit. The string started with 'twotwo' therefore the number also started with '22'. This is a good example.
Q: twoonefourzeroonefivesixninesixonetwofour
A: | 214015696124 | 3 | NIv2 | task1443_string_to_number | fs_opt | [
-0.5799216032028198,
1.2006299495697021,
-0.6521073579788208,
-0.8705489635467529,
-0.5788978934288025,
-0.22596238553524017,
0.814366340637207,
0.11615285277366638,
-0.05077366903424263,
-0.2596501111984253,
-0.8452622890472412,
0.4247875213623047,
-1.2144874334335327,
-0.3338071703910827... |
You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct answer for each question.
Example Input: What property is the same for each atom of an element?
(A) energy (B) mass number (C) atomic number (D) number of neutrons
Example Output: C
Example Input: Cell division is necessary for an organism to
(A) obtain nutrients. (B) grow and reproduce. (C) make proteins. (D) conserve matter and energy.
Example Output: B
Example Input: Air is made up of many gases. Which gas is found in the greatest amount?
(A) Nitrogen (B) Oxygen (C) Carbon dioxide (D) Hydrogen
Example Output: | A
| 3 | NIv2 | task228_arc_answer_generation_easy | fs_opt | [
0.458706259727478,
0.765251874923706,
-0.5098319053649902,
-0.8594069480895996,
-0.651605486869812,
-0.6387466788291931,
0.947411060333252,
0.6105987429618835,
0.18395021557807922,
-0.16631680727005005,
-0.8196382522583008,
-0.24707597494125366,
-0.241363525390625,
-0.2962508201599121,
-... |
Definition: In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabets are Tied'.
Input: ['8121', 'p', 'J', '8193', '3775', 'p', '9001', '2081', '3627', '6651', 'D', '6819', '4721', '7753', '127', 'x', 'Q', '7223', 'a', 'J', '1085', '7277', 'z', '9725', '279', '9941', 'k', 'x', '3063', '6433', 'q', '6551', '961']
Output: | Numbers Win | 2 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
0.1592584103345871,
0.13422968983650208,
-0.7377262115478516,
0.06620338559150696,
-0.2252611666917801,
-0.7090412378311157,
0.7178611755371094,
-0.00773157924413681,
-0.41190922260284424,
0.42465153336524963,
-0.7187320590019226,
0.13488875329494476,
-0.27933865785598755,
0.17126110196113... |
Part 1. Definition
In this task, you're given passages that contain mentions of places and we are supposed to find the answer to a given question. Craft one correct answer to the question given in input. Make sure your correct answer is consistent with the context, and properly gives the exact location where the query was performed.
In your answer, use as few words as possible from the given context. To be less repetitive, please vary your language for each question.
Part 2. Example
Sentence: The university is the major seat of the Congregation of Holy Cross (albeit not its official headquarters, which are in Rome). Its main seminary, Moreau Seminary, is located on the campus across St. Joseph lake from the Main Building. Old College, the oldest building on campus and located near the shore of St. Mary lake, houses undergraduate seminarians. Retired priests and brothers reside in Fatima House (a former retreat center), Holy Cross House, as well as Columba Hall near the Grotto. The university through the Moreau Seminary has ties to theologian Frederick Buechner. While not Catholic, Buechner has praised writers from Notre Dame and Moreau Seminary created a Buechner Prize for Preaching.
Question: Where is the headquarters of the Congregation of the Holy Cross?
Answer: Rome
Explanation: This answer can be found out from the text.
Part 3. Exercise
Sentence: In June 1837 Chopin visited London incognito in the company of the piano manufacturer Camille Pleyel where he played at a musical soirée at the house of English piano maker James Broadwood. On his return to Paris, his association with Sand began in earnest, and by the end of June 1838 they had become lovers. Sand, who was six years older than the composer, and who had had a series of lovers, wrote at this time: "I must say I was confused and amazed at the effect this little creature had on me ... I have still not recovered from my astonishment, and if I were a proud person I should be feeling humiliated at having been carried away ..." The two spent a miserable winter on Majorca (8 November 1838 to 13 February 1839), where, together with Sand's two children, they had journeyed in the hope of improving the health of Chopin and that of Sand's 15-year-old son Maurice, and also to escape the threats of Sand's former lover Félicien Mallefille. After discovering that the couple were not married, the deeply traditional Catholic people of Majorca became inhospitable, making accommodation difficult to find. This compelled the group to take lodgings in a former Carthusian monastery in Valldemossa, which gave little shelter from the cold winter weather.
Question: Where did Frédéric and Sand venture to after Majorca became unlivable when it was discovered they were not married?
Answer: | Valldemossa | 7 | NIv2 | task741_lhoestq_answer_generation_place | fs_opt | [
0.9223288297653198,
0.3539382815361023,
-0.9824947118759155,
-0.44830644130706787,
0.7867507338523865,
-0.850862979888916,
0.2254825234413147,
0.43515709042549133,
0.36632010340690613,
0.2653435468673706,
-0.026841260492801666,
0.569020688533783,
-0.9093483686447144,
-0.16480590403079987,
... |
TASK DEFINITION: In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not plausible".
PROBLEM: The archeologist dug up the site, so I went to check it out
SOLUTION: plausible
PROBLEM: The host served dinner to his guests, so there was plenty of room for everyone
SOLUTION: plausible
PROBLEM: The bodybuilder lifted weights, so it's easy to maintain your weight
SOLUTION: | not plausible
| 8 | NIv2 | task391_causal_relationship | fs_opt | [
-0.26484426856040955,
0.4009312689304352,
0.3051452338695526,
-0.315784752368927,
-0.022983677685260773,
-0.2782708406448364,
0.569144606590271,
0.576678991317749,
0.40135708451271057,
-0.17874549329280853,
-0.271003782749176,
0.4256812334060669,
-0.6376717686653137,
-0.5416572093963623,
... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
One example is below.
Q: Preheat oven to 375 degrees., Boil syrup, sugar and shortening over medium heat, stirring constantly., Remove from heat., Gradually stir in flour and nuts., Drop by teaspoonfuls about 3 inches apart on lightly greased cookie sheet., Bake 5 to 6 min., Remove from oven and let stand 5 min, before removing from sheet., May be rolled into cylindrical shape while still hot., If cooled too much, return to oven for a minute., Yield: 4 dozen cookies.
A: flour, nuts, corn syrup, shortening, brown sugar
Rationale: This is a good example, as we see the NER is generated correctly from the directions.
Q: Mix mayonnaise and sugar., Put in layers in a 9 x 13-inch dish., Refrigerate overnight., Toss and serve.
A: | head lettuce, cauliflower, mayonnaise, sugar, onion, bacon, Parmesan cheese | 9 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.6491413116455078,
0.47901278734207153,
-0.12419679760932922,
0.3438817858695984,
-0.7230523824691772,
0.42185238003730774,
0.03128768876194954,
0.7838077545166016,
-0.33024752140045166,
0.1167120635509491,
0.18586501479148865,
-0.21022221446037292,
-0.19533771276474,
-0.6726969480514526,... |
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Context: Audrey was applying to nursing school and asked Lee for a recommendation letter.
Answer: finish the nursing prerequisites
Question: What did Audrey need to do before this? | True | 0 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.7519195079803467,
0.3238096535205841,
-0.06787971407175064,
-0.5130504965782166,
-0.36508792638778687,
-0.1452094167470932,
0.7091357111930847,
0.37001651525497437,
0.18215632438659668,
-0.06276974081993103,
-0.39663803577423096,
-0.6269018650054932,
-0.14312931895256042,
0.042457535862... |
Detailed Instructions: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
See one example below:
Problem: Context: During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. Link Information: Operation Market Garden was a failed World War II military operation fought in the Netherlands from 17 to 25 September 1944. Question: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin?
Solution: from 17 to 25 September 1944
Explanation: The context describes the 704th's actions during Operation Market Garden, and the answer specifies when the operation happened.
Problem: Context: Conroy played gay lawyer Bart Fallmont on Dynasty from 1985 to 1986. Link Information: Dynasty is an American prime time television soap opera that aired on ABC from January 12, 1981, to May 11, 1989 Question: What network did Dynasty air on?
Solution: | Answer: ABC | 4 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
-0.3552103638648987,
-0.041916199028491974,
-0.2567299008369446,
-0.28452175855636597,
0.16486352682113647,
0.46328628063201904,
0.7887318134307861,
0.5998047590255737,
-0.3947475552558899,
0.029521675780415535,
-0.10035265982151031,
-0.305724561214447,
-1.3375176191329956,
-0.116194173693... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
One example is below.
Q: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
A: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Rationale: The Hebrew sentence is correctly translated into Arabic, because the meaning is preserved.
Q: אבל לפני זמן מה גיליתי שאם אני מכסה את עיני השמאלית, אני רואה את זה.
A: | ولكن فيما مضى, اكتشفت انني اذا غطيت عيني اليسرى, بدلا من ذلك, احصل على هذا | 9 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.37407124042510986,
0.5195146203041077,
0.21749159693717957,
-0.7403669357299805,
-0.814639151096344,
-0.21321286261081696,
1.0017033815383911,
0.09722550213336945,
0.7437835931777954,
-0.5093982219696045,
-1.1541008949279785,
-0.0251983180642128,
-0.8049348592758179,
0.2532571852207184,... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presented with comma separated numbers inside two brackets.
Example: [-7, -1, 8, 7, -8]
Output: [21, 3, 16, 14, 24]
Every negative number is multiplied by -3 and every positive number is multiplied by 2. So this is a good example.
New input case for you: [69, 96, -71, -42, 18, 72, 2, -60, 97, 48, -32]
Output: | [138, 192, 213, 126, 36, 144, 4, 180, 194, 96, 96] | 1 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.2772544026374817,
0.34384486079216003,
-0.3021971881389618,
0.1314515769481659,
0.5132236480712891,
-0.11605092883110046,
0.8497236967086792,
0.7235467433929443,
-0.26639050245285034,
-0.06007106602191925,
-0.2995130717754364,
0.160295307636261,
-0.16491428017616272,
-0.4101711511611938... |
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
[Q]: 「我々は、イランに対する一方的な軍事行動のための議会権力は存在しないと強調したい」と、2007年11月1日のオープンレターの中で述べた。
[A]: เธอกล่าวในจดหมายเปิดผนึก เมื่อวันที่ 1 พฤศจิกายน 2007 ว่า "เราต้องการเน้นย้ำว่า สภาคองเกรซไม่มีอำนาจในการสั่งการให้ทหารโจมตีอิหร่านด้วยกองกำลังทหารฝ่ายเดียว"
[Q]: ベーティはまた、LookWho'sTalkingと呼ばれるトークショーにも出演した。
[A]: นอกจากนี้ Batey ยังเป็นพิธีกรรายการ talk show ชื่อ Look Who's talking อีกด้วย
[Q]: 世界サッカーの統治組織FIFAは、イラクオリンピック委員会が同国のサッカー統治組織の支配権を握って解散したことで、イラクに対し排除を警告した。
[A]: | กรรมการบริหารฟุตบอลโลก FIFA ได้ข่มขู่อิรักด้วยการไล่ออก หลังจากคณะกรรมการโอลิมปิกอิรัก (IOC) ได้เข้าไปควบคุมกรรมการบริหารฟุตบอลของประเทศและไม่ยอมถอนตัวออก
| 5 | NIv2 | task1127_alt_ja_th_translation | fs_opt | [
0.06660231202840805,
0.18487954139709473,
-0.6087934970855713,
0.406909704208374,
-0.1616629958152771,
-0.926052451133728,
0.6249133348464966,
0.02665339596569538,
0.11185069382190704,
-0.021859485656023026,
-0.49838006496429443,
0.7342171669006348,
-0.7697451710700989,
0.5920872688293457,... |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
Let me give you an example: [3, 0, 3, 8]
The answer to this example can be: [3, 3]
Here is why: Zero and eight are removed from the input list because they are even numbers, and because three appeared twice in the input list, it appears twice in the output list. So this is a good example.
OK. solve this:
[79, 72, 57, 26, 52]
Answer: | [79, 57] | 8 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.39598768949508667,
0.10735910385847092,
-0.41606342792510986,
-0.6939864158630371,
0.507057785987854,
-0.4144723415374756,
1.0049259662628174,
0.2526002526283264,
-0.5565056204795837,
0.1195828840136528,
-0.6316497325897217,
0.09786218404769897,
-0.2641866207122803,
-0.5746451616287231,... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input list, and do the same for the numerical elements.
['d', '7025', 'i', '9989', 'M', 'M', '1691', 'E', '1035', 'm', 'v', '6593', '9317', '6629', 'x', '2957', '4227', 'K', '5391', '7175', '2777', '4951', 'l', 'o'] | d, i, M, M, E, m, v, x, K, l, o, 7025, 9989, 1691, 1035, 6593, 9317, 6629, 2957, 4227, 5391, 7175, 2777, 4951 | 0 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
-0.4227030873298645,
0.4623998999595642,
-0.3037233054637909,
-0.43009498715400696,
-0.1636223942041397,
-0.10731644928455353,
0.46762293577194214,
0.015315498225390911,
-0.4686208963394165,
0.5437057018280029,
-0.7361647486686707,
-0.33751243352890015,
-0.1490298956632614,
-0.133675396442... |
Detailed Instructions: In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Q: In March 2001, Rice asked the CIA to prepare a new series of authorities for covert action in Afghanistan. Rice's recollection was that the idea had come from Clarke and the NSC senior director for intelligence, Mary McCarthy, and had been linked to the proposal for aid to the Northern Alliance and the Uzbeks. Rice described the draft document as providing for "consolidation plus," superseding the various Clinton administration documents. In fact, the CIA drafted two documents. One was a finding that did concern aid to opponents of the Taliban regime; the other was a draft Memorandum of Notification, which included more open-ended language authorizing possible lethal action in a variety of situations. Tenet delivered both to Hadley on March 28. The CIA's notes for Tenet advised him that "in response to the NSC request for drafts that will help the policymakers review their options, each of the documents has been crafted to provide the Agency with the broadest possible discretion permissible under the law." At the meeting, Tenet argued for deciding on a policy before deciding on the legal authorities to implement it. Hadley accepted this argument, and the draft MON was put on hold. As the policy review moved forward, the planned covert action program for Afghanistan was included in the draft presidential directive, as part of an "Annex A" on intelligence activities to "eliminate the al Qaeda threat." The main debate during the summer of 2001 concentrated on the one new mechanism for a lethal attack on Bin Laden-an armed version of the Predator drone. In the first months of the new administration, questions concerning the Predator became more and more a central focus of dispute. Clarke favored resuming Predator flights over Afghanistan as soon as weather permitted, hoping that they still might provide the elusive "actionable intelligence" to target Bin Laden with cruise missiles. Learning that the Air Force was thinking of equipping Predators with warheads, Clarke became even more enthusiastic about redeployment. The CTC chief, Cofer Black, argued against deploying the Predator for reconnaissance purposes. He recalled that theTaliban had spotted a Predator in the fall of 2000 and scrambled their MiG fighters. Black wanted to wait until the armed version was ready. "I do not believe the possible recon value outweighs the risk of possible program termination when the stakes are raised by the Taliban parading a charred Predator in front of CNN," he wrote. <sep>In the debate over the use of armed Predator drones what position did Clarke favor?<sep>Clarke became even more enthusiastic about redeployment
A: | Yes | 9 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
0.2092537134885788,
0.19672252237796783,
-0.43288934230804443,
0.29710084199905396,
0.47238868474960327,
-0.17794059216976166,
1.051908016204834,
1.219546914100647,
0.261783242225647,
0.9741871953010559,
-0.27438265085220337,
0.30675917863845825,
-0.9785950183868408,
0.46423208713531494,
... |
You are given a statement written in Bengali. 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 Q]: Statement: বাংলাদেশ, <MASK> পূর্ব পর্যন্ত এর পৃথক কোন একক ভৌগলিক ও জাতিগত ঐক্য হিসাবে পরিচয় ছিলনা। এই অঞ্চলকে ধারাবাহিক ভারত সাম্রাজ্য এর একটি অংশ হিসাবে ধরা হয়েছে, এবং ব্রিটিশ সময় থেকে একে সমগ্র বেঙ্গল এর পূর্ব অংশ হিসাবে গঠন করা হয়, যা প্রভাবিত হতো ব্রিটিশ শাসক ও হিন্দু সমাজপতি, বণিক, এবং জমিদার দ্বারা। ১৯৪৭ সালে পাকিস্তান প্রতিষ্ঠার পরে, বর্তমান বাংলাদেশের নেতৃত্ব অমুসলিম কর্তৃত্ব থেকে পাকিস্তানের পশ্চিমা অ-বাঙ্গালী মুসলিম অভিজাত শ্রেণীর দখলে আসে। অতঃপর বাংলাদেশ প্রতিষ্ঠার পরই একটি নতুন জাতি এবং নতুন সামাজিক কাঠামো হিসাবে জন্ম হয়।
Option A: রাজপুর
Option B: স্বাধীনতার
Option C: পাকিস্তানের
Option D: বেঙ্গল
[EX A]: স্বাধীনতার
[EX Q]: Statement: <MASK> দক্ষিণ এশিয়ার বাংলাদেশ, ভারত, পাকিস্তান, শ্রীলঙ্কা, নেপাল ও আফগানিস্তান - এ ছয়টি স্বাধীন দেশে সর্বমোট ৫৫টি বিশ্ব ঐতিহ্যবাহী স্থানের তালিকা নির্ধারণ করেছে। এ অঞ্চলে ভুটান এবং মালদ্বীপ থাকলেও দেশগুলোয় কোন বিশ্ব ঐতিহ্যবাহী স্থান নেই।
Option A: ইউনেস্কো
Option B: শ্রীলঙ্কা
Option C: ভুটান
Option D: বাংলাদেশ
[EX A]: ইউনেস্কো
[EX Q]: Statement: ১৯২৮-২৯ মৌসুমে অস্ট্রেলিয়া সফরে টেস্ট সিরিজে কিছুটা সফলতা পান। এ সফরের পর ব্যবসায়িক দায়বদ্ধতার কারণে ক্রিকেটে নিয়মিত অংশ নিতে পারেননি। ১৯৩১ সালে <MASK> বিপক্ষে টেস্ট সিরিজে তাকে অধিনায়ক মনোনীত করা হয়। একই সালে ১৯৩২-৩৩ মৌসুমে অনুষ্ঠিতব্য সিরিজের কথা মনে রেখে দল নির্বাচকমণ্ডলী জারদিনকে ইংল্যান্ডের অধিনায়ক মনোনীত করেন। কিছুটা প্রতিবন্ধকতা থাকা স্বত্ত্বেও পরবর্তী তিন মৌসুমে ও দুটি বিদেশ সফরে দলকে নেতৃত্ব দিয়েছেন। তন্মধ্যে ১৯৩২-৩৩ মৌসুমে অস্ট্রেলিয়া সফর অন্যতম ছিল।
Option A: নিউজিল্যান্ডের
Option B: ১৯৩২-৩৩
Option C: অস্ট্রেলীয়
Option D: Xinjiapo
[EX A]: | নিউজিল্যান্ডের
| 6 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | fs_opt | [
0.43295568227767944,
0.6978732347488403,
-0.4164864122867584,
0.17286458611488342,
-0.07881718873977661,
-0.3582351505756378,
0.25671249628067017,
0.9877647161483765,
0.5528019666671753,
0.11557689309120178,
-0.6445422172546387,
0.9578611850738525,
-0.5501810312271118,
-0.2103486955165863,... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Telugu language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: 2022 కల్లా భారతీయ పిఎస్యు లు వాటి భౌగోళికంగా వ్యూహాత్మకమైన వ్యాప్తి ని గరిష్ట స్థాయి కి ఏ విధంగా పెంచుకొంటాయి ?
Solution: 2022 કલ્લા ભારતીય પીએસયુ તેમના ભૌગોલિક વ્યૂહાત્મક સ્પ્રેડને મહત્તમ સ્તરમાં વધારશે?
Explanation: Correct translation for given sentence. Input sentence means '2022 Kalla Indian PSUs will increase their geographically strategic spreads to the maximum level?' which is the same as the output sentence.
Problem: ఇండియా- ఆస్ట్రేలియా మెమోరాండా ఆఫ్ అండర్ స్టాండింగ్ (ఎంఒయూస్) ఫర్ సెకండ్మెంట్ ప్రోగ్రామ్ పై సంతకాలకు ఆమోదం తెలిపిన మంత్రివర్గం
Solution: | મંત્રીમંડળે સહયોગ કાર્યક્રમ માટે ભારત અને ઓસ્ટ્રેલિયા વચ્ચે થયેલા સમજૂતીકરારો (એમઓયુ)ને મંજૂરી આપી | 4 | NIv2 | task1014_pib_translation_telugu_gujarati | fs_opt | [
-0.8161473274230957,
0.3195827007293701,
-0.004391837865114212,
0.08800610899925232,
0.020542781800031662,
-1.0901641845703125,
-0.11658404767513275,
0.12295117974281311,
-0.38334429264068604,
0.6009362936019897,
-0.6223376989364624,
-0.16070669889450073,
-0.5010876655578613,
-0.2364873439... |
Instructions: You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'Text one' if the first sentence is simpler. Otherwise output 'Text two'.
Input: Text one: It's mostly used in cooking and pottery.
Text two: It's mostly used in cooking and pottery.
Output: | Text one | 3 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-1.010650634765625,
0.9008535146713257,
0.012330509722232819,
-0.20552510023117065,
0.30004388093948364,
-0.797100305557251,
0.11217789351940155,
0.5176054239273071,
-0.2918744683265686,
-0.13999821245670319,
-0.2720162570476532,
-0.43344008922576904,
-0.011502228677272797,
-0.168992415070... |
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