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Teacher: 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". Teacher: Now, understand the problem? If you are still confused, see the following example: Sentence-1: I'm looking forward to it.<sep>Sentence-2: I did hear about the event next week . Solution: Yes Reason: We need to check if the answer is yes or no based on the given sentence-1 and sentence-2. Both the sentences give the same meaning, and so the output is a yes. Now, solve this instance: Sentence-1: Of course!<sep>Sentence-2: It is good . Student:
Yes
2
NIv2
task566_circa_classification
fs_opt
[ -0.4117316007614136, 0.07925919443368912, 0.37943947315216064, 0.08878962695598602, 0.2467155158519745, -0.6490848064422607, 0.1738099455833435, 1.2110154628753662, 0.16873863339424133, 0.20424023270606995, -0.26209232211112976, -0.24718227982521057, -0.6545660495758057, -0.453597784042358...
Detailed Instructions: Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM, finding probabilities etc. Each question has only one correct answer. This answer can be a positive or negative integer, a fraction or a decimal number. If the answer is a negative number use the hyphen (e.g. -42) symbol for the minus sign. For decimal numbers, do not add extra zeros after the decimal point. For fractional numbers, separate the numerator and denominator using a forward slash (e.g. 3/25). See one example below: Problem: Let y = -74 - -79. Solve 0 = -y*q - 13 + 3 for q. Solution: -2 Explanation: Solving the two equations, we find that the value of q is -2. The solution can be obtained by simply solving the equations one after another using substitution. Problem: What is three tenths of a millisecond in microseconds? Solution:
300
4
NIv2
task835_mathdataset_answer_generation
fs_opt
[ -0.24909372627735138, 0.09348341822624207, -0.45892584323883057, -0.6239690184593201, 0.2953975200653076, -0.13593445718288422, 0.6772627830505371, 0.6326216459274292, -0.16645556688308716, -0.27136459946632385, -0.798418402671814, 0.41527920961380005, -0.21943029761314392, 0.0669405534863...
The input is a tweet which can be Hate Speech, Offensive or Normal tweet. Hate Speech and Offensive tweets target one community. Given such a tweet, output the community targeted in the tweet. The community will be one of the nine values: 'African', 'Islam', 'Jewish', 'Women', 'Refugee', 'Arab', 'Caucasian', 'Hispanic' or 'Asian'. Output 'None' if the tweet does not target any community. A tweet targets only one community. loretta lynch some white in her woodpile remember when she addressed muslims in america i will protect your rights what about the rights of americans not to be raped and abused by islam just another token tutsoon Islam i always thought that nailing chicks age <number> when you are in early 3 0 is like an accomplishment minus the gook part but not casting aspersions Asian the democrats should know better than to put illegal mexican immigrants ahead of american citizens is absolutely appalling to cause the government shutdown banimmigration
Refugee
0
NIv2
task1503_hatexplain_classification
fs_opt
[ 0.0036872841883450747, 0.5365769863128662, 0.22400566935539246, 0.8342992067337036, -0.3825703263282776, -0.4672307074069977, -0.057137444615364075, 1.174094557762146, 0.4828363358974457, 0.4438229203224182, -0.40885064005851746, 0.08378145843744278, -0.5274677276611328, -1.243845701217651...
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish. Let me give you an example: ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پرتاب باشند در عرض چند ساعت. The answer to this example can be: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować ponownie w ciągu kilku minut. Here is why: The Farsi sentence is correctly translated into Polish, because the meaning is preserved. OK. solve this: حالا وقت ترک کردن کپسول هست اگر نمی ‌ ترسی. Answer:
Czas opuścić kapsułę, jeśli masz odwagę.
8
NIv2
task1272_ted_translation_fa_pl
fs_opt
[ -0.13844211399555206, 1.017918348312378, 0.3817014992237091, -0.05842535197734833, -0.7511008977890015, -0.6067056059837341, 1.3021483421325684, -0.21521475911140442, -0.14909617602825165, -0.58009934425354, -0.8815402388572693, 0.9772721529006958, -0.6603786945343018, 0.2500527501106262, ...
You are given a sentence in English. Your job is to translate the English sentence into Persian. Q: So I'm going to end here with a short video clip that sort of brings all this together. A:
پس می خواهم با یک کلیپ ویدئویی کوتاه خاتمه دهم که کمابیش شامل همه اینها می شود.
4
NIv2
task1093_ted_translation_en_fa
zs_opt
[ -0.6879363059997559, 0.7563502788543701, -0.14671170711517334, -0.16399061679840088, -0.9034417867660522, -0.1027316004037857, 0.541085958480835, 1.3863685131072998, -0.21922622621059418, 0.17241708934307098, 0.7141649723052979, 0.3288235068321228, 0.3022027611732483, 0.24489860236644745, ...
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence. Input: Consider Input: Who is pyramid head in silent hill movie? Output: Roberto Campanella Input: Consider Input: When did the new orleans saints win the superbowl? Output: 2009 Input: Consider Input: Who played obi wan kenobi in star wars episode 1?
Output: Ewan McGregor
2
NIv2
task669_ambigqa_answer_generation
fs_opt
[ 0.22034940123558044, 0.5160970091819763, -0.5098667144775391, 0.002908504568040371, -0.5013418197631836, -0.18377697467803955, 0.8499435186386108, -0.14141160249710083, 0.34119099378585815, -0.11892767995595932, -0.34363311529159546, -0.283764123916626, -0.5726538896560669, -0.151906996965...
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact [Q]: English sentence: (2016), are reported in chapter 10 of Mayer-Schönberger and Cukier (2013) whereby New York City was able to use predictive modeling to produce large gains in the productivity of housing inspectors. [A]: (2016), na-ak na isi nke 10 nke Mayer-Schönberger and Cukier (2013) nke New York City ji nwee ike ịme ihe ngosi ịk dịnihu iji mepụta nnukwu uru na arụpụta ndị nlekta ụl. [Q]: English sentence: Check out our complete guide on the best way to take Phenibut. [A]: Lelee anyị zuru ezu ndu na ụzọ kasị mma isi na-Phenibut. [Q]: English sentence: On the other side we find the type container gantry mounted by the official Yamaha. [A]:
On n'akụkụ nke ọzọ anyị na-ahụ gantry akpa nke ụdị n'ịnyịnya site ukara Yamaha.
5
NIv2
task452_opus_paracrawl_en_ig_translation
fs_opt
[ -0.3568374514579773, 0.4265940189361572, -0.45102572441101074, 0.10663098096847534, 0.509076714515686, -1.3406827449798584, 0.4391583502292633, 0.835738480091095, 0.4389045238494873, 0.4034682512283325, -0.5300188064575195, 0.6262814402580261, -1.2603676319122314, 0.2058643400669098, -0....
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about. The 2002 Winter Olympics were held in which city? 2002 winter olympics Who married the woman who was to become Queen Beatrix of the Netherlands, on 10 March 1966? beatrix Which constellation, that lies between Taurus to the west and the dim Cancer to the east, with Auriga and Lynx to the north and Monoceros and Canis Minor to the south, is associated with the myth of Castor and Pollux, collectively known as the Dioscuri?
cancer
0
NIv2
task899_freebase_qa_topic_generation
fs_opt
[ 0.1885441243648529, 0.5171085596084595, -0.8615213632583618, 0.5852344632148743, -0.331625759601593, 0.02730586752295494, -0.3611142933368683, 0.16109484434127808, 0.758866548538208, -0.681198239326477, -0.5033520460128784, 1.5889363288879395, -0.8668842911720276, 0.2895662784576416, 0.5...
Given the task definition and input, reply with output. In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'. (A) accidentally cutting infront of others buying train tickets (B) telling a guy to stop following us around
A
5
NIv2
task106_scruples_ethical_judgment
zs_opt
[ -0.4789763391017914, 0.6956024169921875, 0.2959497272968292, 0.06584067642688751, -0.5170863270759583, -0.15360267460346222, -0.26948851346969604, 0.37737756967544556, 0.2815207839012146, 0.5241409540176392, -0.8494793176651001, -0.10077767074108124, 0.6982963681221008, -0.3573181629180908...
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?). ", One example is below. Q: Sentence: Efforts to control future SARS outbreaks depend on the accurate and early identification of SARS-CoV infected patients. Section: background A: True Rationale: The section is correct because it provides the background information regarding how they could control future SARS outbreaks depending on the accuracy of identification of some infected patients having SARS-CoV. Q: Sentence: However , nasopharyngeal/oropharyngeal ( np/op ) swabs may not accurately reflect etiologic agents from the lower respiratory tract where sputum specimens are considered as a more representative sample. Section: method A:
False
9
NIv2
task1164_coda19_section_correction_classification
fs_opt
[ 0.17926479876041412, 0.20459015667438507, -0.1614975482225418, 0.13113272190093994, 0.5481288433074951, -0.3127729296684265, -0.15891413390636444, 0.823430597782135, -0.053679317235946655, 0.6081470847129822, -1.0568956136703491, 0.23417991399765015, 0.028280679136514664, -0.06590416282415...
Given the task definition and input, reply with output. This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "date", "number". A "span" answer is a continuous phrase taken directly from the passage or question. You can directly copy-paste the text from the passage or the question for span type answers. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words. A "number" type answer can include a digit specifying an actual value. For "date" type answers, use DD MM YYYY format e.g. 11 Jan 1992. If full date is not available in the passage you can write partial date such as 1992 or Jan 1992. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words. Passage: Fulks set the BAA/NBA single game scoring record four different times. On December 3, 1946, in just his eighth game as a professional, Fulks became the leagues record holder for most points scored in a single game when he scored 37 points, making 16 field goals and five free throws, in Philadelphias 76 to 68 win over the Providence Steam Rollers. Just 20 games later on January 14, 1947, Fulks set a new single game scoring record when he scored 41 points, making 15 field goals and 11 free throws, in Philadelphias 104 to 74 win over the Toronto Huskies. In the 1946-47 season, Fulks also led the league in scoring for its inaugural season, scoring 23.2 points per game. The following season on December 18, 1948, Fulks again set a single game scoring record when he scored 47 points, making 18 field goals and 11 free throws, in Philadelphias 99-71 loss to the New York Knickerbockers. Question: How many of the total points scored in the game on December 3, 1946 were not made by Fulks? Answer type: Number
107.
5
NIv2
task028_drop_answer_generation
zs_opt
[ 0.11003109067678452, 0.5377904772758484, -0.745090126991272, 0.350044310092926, -0.30038556456565857, -0.2438795566558838, 0.7505767345428467, 0.4588415026664734, 0.023959217593073845, -0.31113240122795105, -0.6591070890426636, 0.6245645880699158, -0.20893768966197968, -0.14208708703517914...
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "date", "number". A "span" answer is a continuous phrase taken directly from the passage or question. You can directly copy-paste the text from the passage or the question for span type answers. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words. A "number" type answer can include a digit specifying an actual value. For "date" type answers, use DD MM YYYY format e.g. 11 Jan 1992. If full date is not available in the passage you can write partial date such as 1992 or Jan 1992. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words. Q: Passage: These measures were applied with successful results while the government strove for the Magical Hexagon of full employment, social equality, economic growth, environmental quality, positive trade balance and price stability. The rebound which started in mid-2003 saw growth rate growth rate averaging 3% (2004 and 2005 saw a GDP growth of 2.5% and 2.6% respectively; for 2006 and 2007, the rate was 3.6%). In 2008, GDP growth was modest in the first half of the year while declining in the last two quarters. Because of the base effect, real growth came to 1.9%. While it contracted 1.9% in 2009, the economy started to pick up in Q3 and by the second quarter of 2010, it had surpassed its previous peak. Growth for 2010 was 2.6%. Question: How many percentage points higher was the GDP growth in 2007 than in 2005? Answer type: Number A: 1. **** Q: Passage: Hoping to rebound from their loss to the Dolphins, the Bills flew to Lambeau Field for an interconference duel with the Packers. In the 1st quarter Buffalo trailed early as kicker Mason Crosby made a 44 and a 24-yard field goal, followed by RB Brandon Jackson getting a 1-yard TD run. The Bills made their only score of the game in the 2nd quarter when RB Fred Jackson made a 3-yard TD run. In the third quarter the Bills struggled further when QB Aaron Rodgers completed a 7-yard TD pass to WR Donald Driver, followed by Rodgers scrambling 9&#160;yards to the endzone for a touchdown. The Packers increased their lead in the fourth when Rodgers made a 30-yard touchdown pass to WR James Jones. Question: How many players scored for the Bills? Answer type: Number A: 1. **** Q: Passage: According to the United Kingdom Census 2011, 84% of the population was White people (77.9% White British, 0.9% Irish migration to Great Britain, 0.1% Gypsy (term) or Irish Travellers and 5.1% Other White); 3.6% Mixed (United Kingdom ethnicity category) (1.7% white-and-black Caribbean, 0.4% white-and-black African, 0.8% white and Asian and 0.7% other mixed); 5.5% British Asian (1.6% British Pakistanis, 1.5% British Indian, 0.9% British Chinese, 0.5% British Bangladeshi, and 1% other Asian); 6% Black British (2.8% African, 1.6% British African-Caribbean people, 1.6% Other Black), 0.3% British Arabs and 0.6% with other heritage. Bristol is unusual among major British towns and cities in its larger black than Asian population. These statistics apply to the Bristol Unitary Authority area, excluding areas of the urban area (2006 estimated population 587,400) in South Gloucestershire, Bath and North East Somerset (BANES) and North Somerset—such as Kingswood, Mangotsfield, Filton and Warmley. 56.2% of the 209,995 Bristol residents who are employed commute to work using either a car, van, motorbike or taxi, 2.2% commute by rail and 9.8% by bus, while 19.6% walk. Question: How many percent of the United Kingdom in 2011 are not British Indian? Answer type: Number A:
98.5. ****
4
NIv2
task028_drop_answer_generation
fs_opt
[ 0.5244656801223755, 0.6432162523269653, -0.5148741006851196, -0.22671476006507874, 0.005252245347946882, -0.007081503979861736, 0.3729740083217621, 0.5237769484519958, 0.23588798940181732, -0.11405059695243835, -0.926830530166626, 1.2115834951400757, -0.6019096374511719, -0.191455006599426...
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact. Q: Tagalog sentence: Siya ang nagpasya na siya disliked nakatira sa tulad ng isang kapaligiran at tumingin para sa mga posisyon sa England para sa kanyang sarili at sa kanyang asawa. A: He decided that he disliked living in such an atmosphere and looked for positions in England for himself and his wife. **** Q: Tagalog sentence: Makinig Ang kanilang Telepono Pag-uusap A: Listen Their Phone Conversation **** Q: Tagalog sentence: 9Anim na araw na gagawa ka at iyong gagawin ang lahat ng iyong gawain. A:
9 "Six days you shall labor and do all your work, ****
4
NIv2
task451_opus_paracrawl_tl_en_translation
fs_opt
[ 0.29591497778892517, 0.6414843797683716, -0.08489596098661423, -0.6691779494285583, 0.4014395475387573, -1.0198193788528442, 0.4056045711040497, 0.05331452190876007, 0.05474717170000076, 0.15936271846294403, -0.19386740028858185, 0.5887003540992737, -0.9690174460411072, -0.1481720060110092...
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man". -------- Question: W: What's your major? M: Hotel management. W: What do you want to do when you graduate? M: I'd like to work for a hotel or a travel agency in this area. How about you? W: At first I wanted to major in French or history, but I realized I might have a hard time finding a job, so I major in computer science. With the right skills, getting a job shouldn't be so difficult. M: Do you have a part-time job to support yourself through school? W: Fortunately for me, I received a four-year academic scholarship. M: Wow. That's great. W: Are you working your way through school? M: Yeah. I work as a cook in a restaurant near campus three times a week., Question: What is the woman's major? Answer: History. Question: W: Nice weather, isn't it? Oh, I've seen you around the office, but I don't think we've met, I am Henry Smith, I work in the Market Research Section. M: Nice to meet you, Henry, I am Helen Grant, I am in the Advertising Section on the ninth floor., Question: What can we infer from the conversation? Answer: The man has never seen the woman before. Question: M: Hello, and welcome to our program "Working Abroad". Our guest this evening is a Londoner, who lives and works in Italy. Her name's Susan Hill. Susan, welcome to the program. You live in Florence, how long have you been living there? W: Since 1982. But when I went there in 1982, I planned to stay for only 6 months. M: Why did you change your mind? W: Well, I'm a designer. I design leather goods, mainly shoes, and handbags. Soon after I arrived in Florence, I got a job with one of Italy's top fashion houses, Ferregamo. So, I decided to stay. M: How lucky! Do you still work for Ferregamo? W: No, I've been a freelance designer for quite a long time now. Since 1988, in fact. M: So, does that mean you design for several different companies now? W: Yes, that's right. I've designed many fashion items for a number of Italian companies, and during the last four years, I've also been designing for the British company, Burberry's. M: What have you been designing for them? W: Mostly handbags, and small leather goods. M: Has the fashion industry in Italy changed since 1982? W: Oh, yes. It has become a lot more competitive. Because of quality of products from other countries has improved a lot. But the Italian quality and design is still world-famous. M: And do you ever think of returning to live in England? W: No, not really. Working in Italy is more interesting. I also love the Mediterranean sun and the Italian life style. M: Well, thank you for talking to us, Susan. W: It was a pleasure., Question: What has the woman been doing for a living since 1988? Answer:
Modeling for a world-famous Italian company.
7
NIv2
task283_dream_incorrect_answer_generation
fs_opt
[ -0.03442802280187607, 0.12907648086547852, -0.4530339241027832, -0.4056429862976074, 0.5085763931274414, 0.1971088945865631, -0.1780054271221161, 0.7825767397880554, 0.21977192163467407, 0.21511854231357574, 0.020210586488246918, 0.6555293202400208, -0.027287835255265236, 0.072929240763187...
In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character. Example: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work! Why did He formulate a machine? Example solution: Answerable Example explanation: He formulated a machine learning algorithm to process words. Problem: Rick and Ron piled into their car for a Spring Break road trip. They drove for eight hours, then grew exhausted. They decided to stop in a motel for the night. The next morning, they got back in the car and drove ten more hours. They finally arrived in Miami, ready to party! Why did They drive for eight hours?
Solution: Not Answerable
5
NIv2
task290_tellmewhy_question_answerability
fs_opt
[ -0.14462806284427643, -0.2391958236694336, 0.7356396913528442, 0.16780856251716614, -0.5125190019607544, -0.6685535311698914, 0.4513434171676636, 0.5822712182998657, 0.5908743143081665, 0.23633341491222382, -0.6715992093086243, -0.28085294365882874, 0.11814644932746887, -0.1038913875818252...
In this task, you will be presented with a question having multiple possible answers in Polish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge. Question: Gdzie raczej nie znajdziesz łóżka? Options: A pokój hotelowy B Szpital C strefa wypoczynku D dom sąsiada E Loft
C
0
NIv2
task1140_xcsr_pl_commonsense_mc_classification
zs_opt
[ -0.028773218393325806, 0.8356907963752747, -0.5349833965301514, -0.16466005146503448, -0.3175176978111267, -0.2767077088356018, 0.5318723917007446, -0.5129837393760681, 0.3634529113769531, -0.44402486085891724, 0.3434574007987976, 0.9092079401016235, -0.24216629564762115, -0.48757904767990...
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician. Q: Y aquí viene la primera caja. A:
Aquí chega a primeira caixa.
4
NIv2
task1100_ted_translation_es_gl
zs_opt
[ -0.0157003216445446, 1.1208600997924805, -0.09649275243282318, -0.7823172807693481, -0.17497768998146057, -0.9984856247901917, -0.27290838956832886, 1.1421940326690674, -0.10708407312631607, -0.2839820981025696, 0.15428179502487183, 0.11803668737411499, -0.6769422292709351, 0.2025232315063...
Detailed Instructions: 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 odd 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 odd numbers in an inner list you should output 0 for that list. Q: [[-50, 32, 46, 41, -37], [7, -6, -27], [-45, -31], [-46, 46, 39, 23], [-13, 3, 33, 37, 21], [-5, -44, 4, 12, 5], [-12, -31, -26, 28, 32], [-25, 14], [-35, 2, -18]] A:
[-1517, -189, 1395, 897, -999999, -25, -31, -25, -35]
9
NIv2
task852_synthetic_multiply_odds
zs_opt
[ -0.4535571038722992, 0.3378255367279053, -0.4455491304397583, -0.5048110485076904, 0.1537313461303711, -0.19200128316879272, 1.349494218826294, -0.0348687469959259, -0.01952255144715309, -0.03891034796833992, -0.6259272694587708, -0.09256218373775482, -0.5287073850631714, 0.095669060945510...
You will be given a definition of a task first, then some input of the task. You are given a sentence and a question. You're expected to write the correct answer based on the sentence. Sentence: A bed sheet is more flexible then a wooden board. Question: Which item is less likely to break if bent? Output:
bed sheet
1
NIv2
task1382_quarel_write_correct_answer
zs_opt
[ 0.2773534655570984, 1.13953697681427, -0.8669053912162781, -0.30524879693984985, -0.08116509020328522, -0.44188839197158813, 0.07605467736721039, 0.5584092140197754, 0.7580559253692627, -0.20876848697662354, -0.41811078786849976, -0.04667307436466217, -0.5209693908691406, 0.124839872121810...
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the question has to be about both objects which are related but different; for example, "trophy" and "suitcase". This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "small" to "big"). You should not change any content in the given question beyond a word or two, i.e., the trigger word/phrase. The expected answer to your question must not be associated with just the trigger word; instead, it should depend on the context present in the question. The expected answer should not be ambiguous. For your question, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. In your generated question, retain the object names from the input question. Avoid repeating the same style or phrase in generating your modified question e.g. this task can be always solved using a simple negation i.e. by adding not, never, etc. Instead, try to increase the word diversity. Your question must contain at least 15 and at most 30 words. Your question must have at least 70% overlapping words with the given question. You must utilize the given context word while writing the question. Your question must contain only one blank. The two objects should be used ONCE in your question. Here is a list of attributes and associated contrastive words that may help write contrastive trigger words. Note that contrastive trigger words help in flipping the label. | 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 | Let me give you an example: Context word: fit. Question: The trophy doesn't fit into the brown suitcase because _ is too large. Answer: trophy. The answer to this example can be: The trophy doesn't fit into the brown suitcase because _ is too small. Here is why: Here, replacing the trigger word "large" by its antonym "small" flips answer to the second object ("suitcase") in the question. So, this is a valid question. OK. solve this: Context Word: provide. Question: The father had to provide for them, but his job didn't give him the time or money. The _ mattered more to him. Answer: time. Answer:
The father had to provide for them, but his job didn't give him the time or money. The _ mattered less to him.
8
NIv2
task034_winogrande_question_modification_object
fs_opt
[ 0.832750678062439, 0.16631397604942322, 0.06481415033340454, -0.15017983317375183, 0.6784064173698425, -0.8396205902099609, 0.8294711112976074, 1.0963950157165527, -0.7256156802177429, -0.2587980628013611, -0.4331364929676056, 0.15170657634735107, -0.4433233141899109, 0.08237987011671066, ...
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). -------- Question: Since then, there have been a number of schools burnt by suspected Thaksin sympathizers in various parts of the country. Answer: तब से, देश के विभिन्न हिस्सों में संदिग्ध थाकसिन सिंपेथिसाइज़र द्वारा जले हुए कई स्कूल हैं। Question: New Democratic Party candidate Katy Austin is standing for election in the riding of Simcoe—Grey. Answer: सिमको—ग्रे के राइडिंग में चुनाव के लिए केटी आस्टिन न्यू डेमोक्रेटिक पार्टी के प्रत्याशी के रूप में खड़े हो रहे हैं। Question: Police have described Hudson as about 180 cm tall, with short brown hair and wearing a dark tracksuit top and dark denim jeans. Answer:
पुलिस ने हडसन को लगभग 180 सेमी लंबा बताया, छोटे भूरे बाल थे और उसने गहरे रंग का ट्रैक सूट और गहरे रंग की डेनिम जीन्स पहनी थी।
7
NIv2
task432_alt_en_hi_translation
fs_opt
[ -0.2516127824783325, -0.24683713912963867, 0.4515305757522583, -0.20960074663162231, -0.01103450171649456, -0.649073600769043, 0.36216670274734497, 0.4440010190010071, -0.09757956862449646, 0.12598726153373718, -0.23742112517356873, 0.12309049069881439, 0.04888816177845001, 0.0920853018760...
Detailed Instructions: You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False". Q: I ORDERED KETTLE CHIPS IN THE FOLLOWING FLAVVORS SALT & FRESH GROUND PEPPER TUSCAN 3 CHEESE N.Y. CHEDDAR AND HERS THEY ALL TASTED THE SAME TO ME. IF THERE IS A VARIETY PACK SUGGEST U ORDER BEFORE ORDERING LARGE SIZE. I WISH I COULD RETURN THE UNOPENED BAGS. Polarity: Negative A:
True
9
NIv2
task587_amazonfood_polarity_correction_classification
zs_opt
[ -0.6329907774925232, -0.6295447945594788, 0.19348931312561035, -0.019329749047756195, -0.031711094081401825, -0.46074801683425903, 0.5724543333053589, 0.28315821290016174, 0.06776966899633408, -0.03174362704157829, 0.09715759754180908, -0.06562315672636032, -0.4216577410697937, -0.21498911...
Definition: In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise. Please answer with "Contradiction", "Neutral", or "Entailment". Input: Premise: Justin Tinucci is an American actor, musician and professional indoor skydiver who is best known for his roles on "Incredible Crew" as a recurring guest star, iCarly, Big Love, Trophy Wife and the Netflix show Lady Dynamite where he plays Jason. He will appear in an upcoming Sony Pictures Home Entertainment film called Devil's Whisper in 2017. <sep> Hypothesis: Justin Tinucci was born 40 years before the release of Devil's Whisper Output:
Neutral
2
NIv2
task1386_anli_r2_entailment
zs_opt
[ -1.1916861534118652, 0.37462326884269714, -0.3755807876586914, 0.36771029233932495, 0.3992708623409271, -0.41388237476348877, 0.1776716709136963, 0.00535923708230257, 0.3216722309589386, 0.3865417242050171, -0.26519161462783813, 0.1257486343383789, -0.7721569538116455, -0.489976704120636, ...
Detailed Instructions: In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time. Q: Mina damer och herrar! Avsevärda framsteg har gjorts för att uppnå en verklig konvergens, bl.a. för de fyra sammanhållningsländerna, men också, herr Pohjamo, det säger jag ärligt, för regionerna inom mål 2 som tagit igen viss försening i sin utveckling, bl.a. när det gäller infrastruktur. A:
Swedish
9
NIv2
task315_europarl_sv-en_language_identification
zs_opt
[ -0.047731831669807434, 0.708747148513794, 0.7492416501045227, -0.39415353536605835, 0.27677321434020996, -0.5087628364562988, 0.3034053444862366, 0.46087411046028137, 0.2532516121864319, 0.056564539670944214, -0.37144923210144043, 0.17887616157531738, -0.12640219926834106, -0.8681601881980...
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story. Q: Title: Cats and Rain. Sentence 1: The cat ran up to the door and yowled for someone to open it. Sentence 2: He started to go out the door before he noticed it was raining. Sentence 3: He dashed back inside, nearly knocking a small lamp over. Sentence 4: He ran the rest of the way to the back bedroom. A:
His owners found him there asleep hours after the rain ended.
4
NIv2
task216_rocstories_correct_answer_generation
zs_opt
[ -0.12540724873542786, 1.719598650932312, -0.24987249076366425, 0.16710519790649414, -0.16261811554431915, -0.3027545213699341, 0.033986955881118774, 0.45755285024642944, -0.5086489915847778, -0.07027310132980347, -0.5211897492408752, 0.5175799131393433, -0.9323297739028931, 0.1652518212795...
Definition: Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it. Input: Abstract: In the course of characterizing monoclonal antibodies (MAbs) recognizing cell surface antigens on dispersed human parathyroid cells (dPTCs), we identified one MAb (4F2) that bound avidly to parathyroid cells and had marked effects on parathyroid function. The binding of MAb 4F2 to human adenomatous dPTCs resulted in a marked [53.8 +/- 7.9% (+/- SEM)] reduction in low calcium (Ca)-stimulated PTH secretion to levels equivalent to those in cell suppressed by high extracellular Ca (1.5 mM). Typically, these functional effects were optimal at antibody dilutions of 1:10(4) to 1:10(5). Cell viability was confirmed at the conclusion of each experiment by trypan blue exclusion (greater than 90-95%) and cell surface immunofluorescence. Parallel studies using the Ca-sensitive dye Quin-2 showed that inhibition of PTH secretion in 4F2-treated cells was associated with a concomitant increase in cytosolic Ca (Cai) of 188% in 0.5 mM Ca; these values also approached Cai levels in control cells incubated in high Ca. Mab controls, P3 X 63, which do not bind to dPTCs, and Mab LC7-2, which recognizes a different epitope of the same antigen as 4F2 on dPTCs, did not alter PTH secretion or Cai. Immunoprecipitation of 125I-labeled parathyroid cell extracts with MAb 4F2 demonstrated proteins with mol wt of approximately 145, 85, and 45 under nonreducing conditions and 85 and 45 kilodaltons after reduction with 5% mercaptoethanol. These studies suggest that 1) Mab-4F2 binding to its cell surface antigen inhibits PTH secretion by human adenomatous parathyroid cells in vitro; 2) the alterations in secretory function could be related to by an attendant increase in Cai; 3) the 4F2 antigen on dPTCs is a heterodimeric protein of (approximately) 85K and 45K; and 4) the 4F2 antigen may be an important component of the Ca-sensing and/or signal-transducing mechanism in this cell. Output:
Adenoma
2
NIv2
task620_ohsumed_medical_subject_headings_answer_generation
zs_opt
[ 0.8492083549499512, 0.1825324445962906, -0.8304425477981567, -0.12124153226613998, 0.2810284197330475, -0.7377433776855469, 0.6511718034744263, 0.8542196750640869, 0.4637655019760132, 0.451744019985199, -1.139610767364502, 0.01786748692393303, -0.3423413038253784, 0.3501477837562561, 0.5...
Q: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. Here are the defications of each category: 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows 5. Comparative: Comparing two rows in the table, regarding their values in one column 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. Here are the definitions of logical operators for understanding of command: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. and { eq { max { filter_eq { all_rows ; opponent ; san francisco 49ers } ; attendance } ; 65551 } ; eq { hop { argmax { filter_eq { all_rows ; opponent ; san francisco 49ers } ; attendance } ; date } ; november 11 , 1979 } } A:
superlative
7
NIv2
task212_logic2text_classification
zs_opt
[ 0.30442383885383606, -0.37542787194252014, -0.35025572776794434, 0.32464250922203064, 0.38399505615234375, -0.6858845949172974, 0.7429336309432983, 0.6187050342559814, 0.6556649208068848, 0.032591357827186584, -0.14090728759765625, 0.22533391416072845, -0.06990063190460205, 0.5115682482719...
Instructions: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text. Input: Rodrigo Borda, 39, and Sergio Miranda, 45, said it was a day of much joy and emotion, but also of responsibility. President Jose Mujica signed the legislation in May, but it took 90 days to come into effect. Uruguay is the second South American nation to pass a gay-marriage law. Mr Borda and Mr Miranda said they would celebrate their wedding in September. It would be a "very public affair", not only because they wanted to share the moment with "all the world", but also because they wanted "to give an example to those gay couples who may be thinking about getting married but don't dare to", the couple added. Three years ago, Argentina became the first country in Latin America to allow same-sex marriages. Reforms Since then, Brazil's Supreme Court overwhelmingly voted in favour of granting same-sex couples the same legal rights as married heterosexuals, effectively authorising gay marriage. In Colombia, a judge recently ordered a notary to sign a document which - while not a marriage certificate - in effect gave a same-sex couple the same rights as a heterosexual one. In Mexico, legislation on same-sex unions is a matter for individual states. Gay marriage is legal in the capital and the southern state of Quintana Roo, while the states of Coahuila and Colima allow gay couples to enter into civil unions. Gay marriage remains illegal in the rest of the country. The gay-marriage bill is among a series of liberal reforms in Uruguay backed by President Mujica. Since the left-wing politician came to power, parliament has also passed a law allowing abortion beyond cases of rape, incest or threats to a woman's health. Last week, the House of Representatives voted in favour of a bill which, if passed by the Senate, will legalise marijuana and put its production and sale into the hands of the state. Output:
Two gay men who have been a couple for 14 years have become the first to register to marry in Uruguay, hours after a law came into force allowing same-sex marriages in the country.
3
NIv2
task1357_xlsum_summary_generation
zs_opt
[ 0.3849397599697113, 0.36042410135269165, -0.5778406858444214, -0.5949676036834717, 0.23792865872383118, -0.0060317013412714005, 0.5342289209365845, 1.151741623878479, -0.8481884598731995, -0.30245447158813477, -0.3776419460773468, 0.8147133588790894, -0.31083792448043823, 0.187571734189987...
You will be given a definition of a task first, then some input of the task. In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no". Tweet: the heat has put a hold on candy sales the choc is starting 2 melt Question: is it a negative tweet? Output:
yes
1
NIv2
task196_sentiment140_answer_generation
zs_opt
[ -0.8098859786987305, 0.15726810693740845, 0.5557670593261719, 0.45321622490882874, 0.2979595959186554, -0.972990870475769, -0.2933066785335541, 0.7565207481384277, 0.04299604892730713, -0.15856045484542847, -0.11206451058387756, -0.7222638130187988, -0.527491569519043, -0.16992723941802979...
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative. [EX Q]: Fast, affordable, and yummy. Gave it a 4 because I'm curious about how long the food rotates. If your looking for good fish don't come here. [EX A]: POSITIVE [EX Q]: This place is a nice neighborhood restaurant. We do not have many in this neck of the woods so we will take anything. This place is good. It is upscale and the prices are reasonable for the neighborhood. However, the best has to be the customer service. The server and waitress were very friendly and let you know you mattered. \n\nThey tend to get busy, which means they have a lot of repeat customers. That should speak for itself. [EX A]: POSITIVE [EX Q]: Complete lack of integrity and honesty! Buyer Beware. The owner Derek Frader will lie, cheat and steal to make anything to his advantage. [EX A]:
NEGATIVE
6
NIv2
task475_yelp_polarity_classification
fs_opt
[ -1.553985595703125, 0.4306095242500305, -0.04645361751317978, 0.07237716019153595, 0.5716058015823364, -0.237657830119133, 0.5083150863647461, 0.22486762702465057, 0.39512181282043457, 0.0030648414976894855, 0.2721526026725769, 0.0039954762905836105, -0.7019314169883728, 0.0315791666507720...
You will be given a definition of a task first, then some input of the task. This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning). The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning types are illustrated in the 'positive examples' field) and also have a variety of answer types (spans, numbers, dates). A span is a continuous phrase taken directly from the passage or question. In such questions, the answer spans are recommended to be five words. Questions with answer type "number", are expected to start with "How many". For instance, "How long did an event last?" can be phrased as "How many years did an event last?". To increase diversity, try to create more questions for which the answer will be multiple spans. Please create questions that require AT LEAST 2 arithmetic operations as illustrated in the 'positive examples' field. You are encouraged to try DIFFERENT COMBINATIONS of operations and not just limit to the combinations shown in those examples. The more challenging questions you create, the better it is. Passage: The Buccaneers five-game winning streak came to an end with this loss. After being down 17-6 at the half, the Bucs came out hot in the second half scoring two touchdowns on throws to receiver Adam Humphries and tight end Cameron Brate, taking a 20-17 lead going into the fourth quarter. After three Dallas field goals in the fourth, the Bucs had a chance to drive down the field for a last second touchdown. On 4th down with around 30 seconds remaining, Winston threw an interception to seal the game. With the loss, the Buccaneers move to 8-6 on the season. Output:
How many games of their last six games have the Buccaneers lost?
1
NIv2
task026_drop_question_generation
zs_opt
[ 0.4691885709762573, 0.09422525018453598, 0.07589765638113022, 0.677638590335846, 0.21851778030395508, -0.22331205010414124, 0.31987375020980835, 0.6163160800933838, 0.20796336233615875, -0.13481950759887695, -0.8890159726142883, 0.200109601020813, -0.2773088216781616, 0.04704456031322479, ...
Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link]. One example: Verify if the sentiment of the following document towards the entity Bill Clinton is Negative. Bill Clinton knows how to win friends and influence people. Solution is here: no Explanation: Here the author of the document praises Bill for this ability to win friends. So the sentiment should be Positive and not Negative. Now, solve this: Verify if the sentiment of the following document towards the entity Tony Spurlock is Positive . Not long after the deputies found the suspect barricaded in his room Riehl opened fire Spurlock said. Solution:
no
6
NIv2
task422_persent_sentence_sentiment_verification
fs_opt
[ -1.114330530166626, 0.16067594289779663, 1.02340567111969, 0.3921642303466797, 0.19982796907424927, -2.0415568351745605, 0.5716495513916016, 0.4410407543182373, 0.4424653947353363, 0.3942025899887085, 0.043797366321086884, -0.15333685278892517, -0.5786678194999695, -0.4241529703140259, 0...
Given the task definition and input, reply with output. You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False". I am on a low carb diet and have lost 25 pounds. I was so tired of eating meat all the time but too nervous to splurge on pasta until I came across this product on Amazon. I cook it a minute or two longer than the directions and top it with full fat Greek yogurt and parm cheese and one serving is so filling and yummy. Definitely cures my cravings and am now on subscribe and save. My hubby and son love it too! Polarity: Positive
True
5
NIv2
task587_amazonfood_polarity_correction_classification
zs_opt
[ -0.2833338975906372, -0.26138949394226074, 0.3723853826522827, 0.12174755334854126, -0.1439727246761322, -0.12005610018968582, 0.9657829999923706, 0.20331424474716187, 0.38663166761398315, 0.10671539604663849, -0.2331513613462448, 0.006819023285061121, -0.6735799908638, -0.2700749635696411...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. An example of a chain is: "pesticides cause pollution" (fact1) + "pollution can harm animals" (fact2) → "pesticides can harm animals" (conclusion fact). Parts of the concluding fact overlap with the first and the second fact. To construct such a concluding fact, a useful way is to borrow the subject from one fact and the ending conclusions from another fact. Fact1: pesticides cause pollution. Fact2: pollution can harm animals. Solution: pesticides can harm animals. Why? This is a good concluding fact that is entailed from combining Fact1 and Fact2. Also, it does not contain everything present in Fact1 and Fact2. New input: Fact 1: shelter is used for protection by animals against weather. Fact 2: During the daytime or in hot weather they seek shelter. Solution:
animals use shelter in hot temperatures.
0
NIv2
task038_qasc_combined_fact
fs_opt
[ 0.0716235488653183, 0.7787767052650452, -0.8054754734039307, 0.3989224135875702, -0.34966185688972473, -1.1704894304275513, -0.1205659881234169, 1.2426507472991943, -0.5460928082466125, 0.032546333968639374, -1.1898133754730225, 0.5011656284332275, -0.38307929039001465, -0.0139805786311626...
Teacher:Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words. Teacher: Now, understand the problem? Solve this instance: Sentence1: the volume of an object can be used to describe the size of that object. Sentence2: The volume of a physical thing can be used to describe the size of that physical thing. Student:
can
6
NIv2
task039_qasc_find_overlapping_words
zs_opt
[ 0.3928641378879547, 1.0197240114212036, 0.479364812374115, -0.7170140743255615, 0.15322166681289673, -0.630803108215332, 0.7171609401702881, 0.34242790937423706, 0.1469484567642212, -0.8522036075592041, -0.44033437967300415, 0.05247953161597252, -0.9124704003334045, 0.020229443907737732, ...
Detailed Instructions: The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided. Problem:name[xname], cuisine[Fast Food], price[more than £30], rating[high], location[city centre] Solution:
In the centre city area, there is xname, a moderately priced fast food restaurant.
8
NIv2
task1598_nyc_long_text_generation
zs_opt
[ -0.7452792525291443, 0.6738922595977783, -0.46216097474098206, -0.547285258769989, -0.2734852433204651, 0.21042269468307495, 0.2048179805278778, 0.8001435995101929, 0.20204971730709076, -0.6700486540794373, 0.5399896502494812, -0.1931808888912201, -0.861416220664978, -0.13726191222667694, ...
Q: In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb How many times was the person who directed Colonel Chabert awarded Best Cinematography by Cesar ? , Word: Cinematography , POS tag: NNP A:
True
7
NIv2
task346_hybridqa_classification
zs_opt
[ -0.32614824175834656, -0.41901397705078125, -0.2687530517578125, 0.8587496876716614, -0.14838865399360657, -0.37889426946640015, 0.5781196355819702, 0.6009280681610107, -0.44907426834106445, 0.09815531969070435, -0.4240872263908386, -0.2841116189956665, 0.0586533360183239, -0.1460012197494...
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian. Example: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました Example solution: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico. Example explanation: The Japanese sentence is correctly translated into Italian, because the meaning is preserved. Problem: さらに特定するなら特定の郵便番号を見てみることですね
Solution: E se volete essere ancora più specifici, si può arrivare a specifici CAP.
5
NIv2
task1096_ted_translation_ja_it
fs_opt
[ -0.13969331979751587, 0.19186300039291382, -0.41362088918685913, -0.42182618379592896, -0.02162412367761135, -1.0730478763580322, 0.6321150064468384, 0.761961817741394, 0.44128453731536865, -0.4908173680305481, -0.7563921213150024, 0.6850368976593018, -0.6353714466094971, 0.244363099336624...
Q: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations.. Context: Taylor derived their opinion from the fact that they were usually correct in their assessments. Answer: listen to their intuition A:
What will Taylor want to do next?
7
NIv2
task581_socialiqa_question_generation
zs_opt
[ 0.20716498792171478, 0.9023599028587341, -0.17371943593025208, -0.2518064081668854, 0.3161746561527252, -1.1566824913024902, 0.2271426022052765, 0.2642569839954376, 0.910851240158081, 0.3736018240451813, -0.12532919645309448, -0.12125398218631744, -1.2494449615478516, -0.35940489172935486,...
Teacher: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A. Teacher: Now, understand the problem? If you are still confused, see the following example: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762'] Solution: a, 34, f, 931, 7 Reason: Here, all the elements except the last 3 from the list are 'a', '34', 'f', '931', and '7'. Now, solve this instance: 7, ['57', '3847', 'e', 'T', 'v', 'L', '8861', 'c', 'o', '9947', 'G', 'S', 'H', '6611', '3551', 'M', '6915', '8463', '7827', '8495', 'Q', 'B', '5791', 'Y'] Student:
57, 3847, e, T, v, L, 8861, c, o, 9947, G, S, H, 6611, 3551, M, 6915
2
NIv2
task078_all_elements_except_last_i
fs_opt
[ 0.29218512773513794, -0.11547034978866577, -0.38258498907089233, -0.9694397449493408, 0.13031819462776184, -0.7184252738952637, 0.35456031560897827, 0.7803182601928711, -0.6281991004943848, -0.01909763738512993, -0.46654292941093445, 0.1665976345539093, 0.0635993629693985, 0.15935853123664...
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb Q: What is the part-of-speech tag of the word "," in the following question: Which stadium is located at Torsvika in a municipality of Agder county , Norway ? A: IN **** Q: What is the part-of-speech tag of the word "calls" in the following question: The NFL team that calls Bank of America Stadium home is headquartered in what city ? A: WP **** Q: What is the part-of-speech tag of the word "for" in the following question: How long did the second place finisher drive for Ferrari ? A:
NN ****
4
NIv2
task347_hybridqa_incorrect_answer_generation
fs_opt
[ 0.5269837379455566, 0.634333074092865, -0.3607613146305084, 0.6182022094726562, 0.15980540215969086, -0.5956875085830688, 0.6658729314804077, 0.6141026020050049, -0.3800603151321411, -0.46593567728996277, -0.4167981445789337, 0.8801780939102173, -0.4502222537994385, 0.31788530945777893, ...
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular. See one example below: Problem: Comment: Enough already. Cut the head off this snake. Solution: Threat Explanation: This comment conveys a violent threat to someone. Problem: Comment: Sure you will find your peace. Blow yourself up, get 72 virgins; you won't care where you're buried. Just be sure to kill innocent women and children, like a good and true muslim, for extra special afterlife accommodation. Solution:
Threat
4
NIv2
task322_jigsaw_classification_threat
fs_opt
[ -0.48768049478530884, 0.4624280035495758, 0.8543060421943665, 0.20885556936264038, 0.0903720110654831, -0.7309139966964722, 0.5510231852531433, 0.6573574542999268, -0.07951654493808746, 0.34072640538215637, 0.5070701837539673, 0.03511383384466171, -0.7703672647476196, -0.5912734866142273, ...
Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact. Example input: English sentence: Roger Federer was the first player to win 20 Grand Slams Example output: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams Example explanation: The output is an exact translation of the English sentence to it's Tagalog equivalent and meaning remains the same. Q: English sentence: Who is the producer of Bustural cream? A:
Saan ginagawa ang Bustural na krema?
3
NIv2
task448_opus_paracrawl_en_tl_translation
fs_opt
[ -0.31888437271118164, 0.30829036235809326, -0.11071225255727768, -0.298748254776001, 0.02117643505334854, -0.8020316362380981, 0.26103952527046204, 0.39054256677627563, 0.3180497884750366, -0.2874809205532074, 0.009801123291254044, 0.6722290515899658, -1.0439611673355103, -0.87612181901931...
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). [EX Q]: In Reunion, for example, the rate is 37%. [EX A]: La Réunion har exempelvis en arbetslöshet på 37 procent. [EX Q]: I object to the fact that we are cutting back the time for Question Time; it is one of the few occasions when backbenchers have a chance to get their time on the floor and I do ask you to extend it to one and a half hours as is on the agenda. [EX A]: Jag protesterar mot att vi drar ned på tiden för frågestunden. Det är ett av de få tillfällen då vanliga ledamöter har en chans att få tala och jag ber er att utöka den till en och en halv timme som på föredragningslistan. [EX Q]: I do, however, have one small concern, when I hear the Commissioner on the subject of the commitments made by their services in the Committee on Budgets. [EX A]:
Jag känner ändå en viss oro när jag lyssnar till kommissionären jämfört med de åtaganden som gjorts av enheterna inom budgetutskottet.
6
NIv2
task313_europarl_en_sv_translation
fs_opt
[ 0.03343845158815384, 0.607517659664154, -0.04531339555978775, -0.5498580932617188, -0.1967516541481018, 0.026517421007156372, 1.4435150623321533, 0.7338768839836121, 0.49295416474342346, 0.2061217725276947, -0.04815702140331268, 0.7133991718292236, -0.4390326142311096, 0.2370876669883728, ...
Detailed Instructions: In this task you are given a Chinese paragraph related to criminal cases, your job is to give an answer to what the criminal's name is. See one example below: Problem: 昌宁县人民检察院指控,2014年4月19日下午16时许,被告人段某驾拖车经过鸡飞乡澡塘街子,时逢堵车,段某将车停在“冰凉一夏”冷饮店门口,被害人王某的侄子王2某示意段某靠边未果,后上前敲打车门让段某离开,段某遂驾车离开,但对此心生怨愤。同年4月21日22时许,被告人段某酒后与其妻子王1某一起准备回家,走到鸡飞乡澡塘街富达通讯手机店门口时停下,段某进入手机店内对被害人王某进行吼骂,紧接着从手机店出来拿得一个石头又冲进手机店内朝王某头部打去,致王某右额部粉碎性骨折、右眼眶骨骨折。经鉴定,被害人王某此次损伤程度为轻伤一级。 Solution: 段某 Explanation: The name of the criminal mentioned in the text is 段某. Problem: 公诉机关指控:2012年至2013年3月间,被告人余某某以邮政特快专递的方式,从福建林某某、“张不要”处购买假冒软中华、黄鹤楼1916牌香烟,从湖南长沙购买假冒五粮液、茅台酒。后余某某将购得的烟酒,分别销售给文某某(绰号天不收)、严某某等人,销售金额共计5万余元。公诉机关认为,被告人余某某无视国法,明知是伪劣产品而予以销售,其行为已构成销售伪劣产品罪。请依法判处。 Solution:
余某某
4
NIv2
task1666_cail2018_answer_generation
fs_opt
[ 0.286393404006958, 0.20885604619979858, -0.3725493550300598, -0.4584354758262634, -0.07109678536653519, 0.14203056693077087, 0.5771443247795105, 0.9022560119628906, -0.5014132261276245, 0.4555794298648834, -0.3735102415084839, 0.3968193531036377, -0.8341420888900757, 0.046928953379392624, ...
Given the task definition and input, reply with output. In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form " A >Motivates> B". Try to use phrases and sentences from the story to compose your answer when possible. For the motivation sentence, you must choose a verb from :feel(s), want(s) or like(s). There will always be some motivation in the given story. story: This afternoon I played catch with my dogs. We always loved going to the park to play catch. I had a nice frisbee for us to play with. At the end I gave the dogs a bone. They were good pets. selected sentence: I had a nice frisbee for us to play with.
I want(s) fun >Motivates> I have a frisbee
5
NIv2
task747_glucose_cause_emotion_detection
zs_opt
[ -0.4868079721927643, 0.5004650354385376, -0.3782457709312439, 0.47263431549072266, -0.7642416954040527, -0.8124140501022339, 0.5179858207702637, 0.4968102276325226, -0.40852904319763184, -0.48475509881973267, -0.8175055980682373, -0.013886604458093643, -0.3343515396118164, 0.25324565172195...
Part 1. Definition This task is about translating a given Yoruba language sentence to English. Part 2. Example Lóde òní gbajúbajà ni àwọn àṣẹ CC lórí ayélujára tí àwọn oníṣẹ́-ọpọlọ jákèjádò ilé-ayé sì ń lò wọ́n fún èyí-ò-jọ̀yìí nǹkan tí o kò lérò. Answer: Today CC licenses are prevalent across the web and are used by creators around the world for every type of content you can imagine. Explanation: This is a good example because the Yoruba sentence has been translated correctly into English. Part 3. Exercise Ibi tí wọ́n ti ṣe àpéjọ náà ni Olympic Palace, gbọ̀ngàn ìṣeré kan tó wà nílùú Tbilisi, iye àwọn tó sì péjọ síbẹ̀ jẹ́ ẹgbẹ̀rún méje ó lé méjì (7,002). Answer:
The convention originated from the Olympic Palace, an arena located in Tbilisi, with a peak attendance of 7,002.
7
NIv2
task1686_menyo20k_translation
fs_opt
[ 0.010510489344596863, 0.3274831473827362, -0.897805392742157, 0.353959858417511, 0.1971612125635147, -0.377464234828949, -0.01808512583374977, 0.41838935017585754, 0.5909521579742432, -0.37465494871139526, -0.4490464925765991, 0.3034256100654602, -0.8845850825309753, 0.05641023814678192, ...
Detailed Instructions: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned. Q: [-254, 680, -133, -323, 755, 975, 921, 973, 89, -111, -151, -129, -114, -119, 468, -643, 251, -387, 277] A:
[-323, -111, -151]
9
NIv2
task372_synthetic_palindrome_numbers
zs_opt
[ -0.8606860041618347, 0.22909000515937805, -0.007146795745939016, -0.46663743257522583, -0.4424845576286316, 0.12806887924671173, 0.8196667432785034, 0.1532217264175415, -0.6065540909767151, 0.7740468978881836, -0.5308042764663696, 0.02120823599398136, -0.3842005729675293, 0.064878016710281...
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish. Teacher: Now, understand the problem? Solve this instance: Perché non vi racconto storielle. Vi sottopongo un caso. Student:
Porque no estoy contándoles un historia. Estoy presentando un caso.
6
NIv2
task1249_ted_translation_it_es
zs_opt
[ -1.0542782545089722, 0.27081260085105896, 0.137470081448555, -0.33554351329803467, -0.44280001521110535, -0.4155209958553314, 0.3421647548675537, 1.3213454484939575, 0.262889564037323, -0.5050787329673767, 0.38424140214920044, -0.16299012303352356, -0.3822113871574402, -0.5455038547515869,...
Teacher:In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3. Teacher: Now, understand the problem? Solve this instance: Question: How old was the person who was awarded an American Soccer League franchise in 1987 when he died? Passage 1:In October 1987, the American Soccer League announced that it had awarded a franchise to Joe Robbie which would be located in Fort Lauderdale, Florida. Robbie, who owned the Minnesota Strikers of the Major Indoor Soccer League announced his intentions of resurrecting the name Fort Lauderdale Strikers and hired Wim Suurbier to coach the team. The team played their home games in Lockhart Stadium. In their first season, the Strikers stormed the ASL, finishing with a 14-6 record, best in the league, before falling to the Washington Diplomats in the finals. In 1988, Robbie later sold his share in the team to Noel Lemon. In January 1989, Suurbier resigned as coach to be replaced by Thomas Rongen. In their second season the Strikers did almost as well, finishing the season at 12-8. They went on to defeat the Boston Bolts for the 1989 championship. This qualified them for the 1989 National Pro Soccer Championship, the first American national outdoor soccer championship since the collapse of the North American Soccer League in 1984. On September 9, 1989, the Strikers defeated the San Diego Nomads of the Western Soccer League, 3–1, to win the title. Following that game, the ASL merged with the WSL to form the American Professional Soccer League. They played five more years in that league. For the 1990 season seven home games were played at Pompano Beach Municipal Stadium and five at the Royal Palm Polo Club in Boca Raton, after the Broward School Board denied the team access to Lockhart Stadium. In January 1991, the Strikers merged with the Orlando Lions. The combined team retained the Strikers name, uniforms and staff. Soon after Lemons sold the team to Bryan Lockwood. Passage 2:While in the sixth form, he starred in a production of Hamlet, which was taken to the Edinburgh Festival Fringe and very well regarded. At 18 he won a scholarship to the University of Cambridge, where he read history at St John's College and earned his degree. Younger members of the university at the time included Ian McKellen (who had a crush on him—"a passion that was undeclared and unrequited", as McKellen relates it) and Trevor Nunn. During his studies at Cambridge, Jacobi played many parts including Hamlet, which was taken on a tour to Switzerland, where he met Richard Burton. As a result of his performance of Edward II at Cambridge, Jacobi was invited to become a member of the Birmingham Repertory Theatre immediately upon his graduation in 1960. Passage 3:Raymond "Ray" King (born 1964) is an American entrepreneur and co-founder of multiple companies including AboutUs.org and Top Level Design. He began his career by creating The Computer Workshop with a group of friends which offered computing classes at Grand Central Terminal in Manhattan. This venture earned him $60,000, enough to cover tuition at the Massachusetts Institute of Technology (MIT) for one year. King studied computer science there until he left in 1984 to start Semaphore Inc. which sold accounting and project management software, that he had begun developing in college, to architecture and engineering firms. He founded SnapNames, which specialized in "snapping up" expired domain names, in 2000 after relocating to Portland, Oregon. King left the company in 2005 and founded the wiki Internet domain directory AboutUs.org in 2006. He served as chief executive officer until stepping down in 2013. In 2012, he and his brother-in-law founded the registry Top Level Design, which manages the new top-level domains .design, .ink, and .wiki. King and his wife have one daughter and reside in the Portland metropolitan area. Student:
1
6
NIv2
task230_iirc_passage_classification
zs_opt
[ 0.31353217363357544, 0.06221809610724449, -0.5393131375312805, -0.36642521619796753, 0.4882199168205261, 0.3414328396320343, 0.5730825066566467, 0.48027417063713074, -0.07556942105293274, 0.25557446479797363, 0.03368333727121353, 1.003563642501831, -0.8906987905502319, -0.22272327542304993...
In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j. Perform the operations in order, i.e., do not concatenate the elements and then reverse the string. Example Input: 6, 8, ['y', 'g', 'I', '7137', '1589', '6209', '9823', '4543', '8683', 'L', 'H', '1937', 'R', 'c', 'E', 'l', '4221', '7981'] Example Output: 454398236209 Example Input: 2, 8, ['4755', '9069', 'H', 'O', '757', 't', '5903', '9195', 'a', '101', 'e', '7363'] Example Output: 91955903t757OH9069 Example Input: 3, 19, ['7517', 'y', '13', 'l', 'R', '7021', 't', '6607', '3305', '4767', '8831', '2779', '87', 'J', '5613', 'p', '8813', 'R', '6515', 'E'] Example Output:
6515R8813p5613J8727798831476733056607t7021Rl13
3
NIv2
task101_reverse_and_concatenate_all_elements_from_index_i_to_j
fs_opt
[ -0.026829883456230164, -0.01886974833905697, -0.3662061095237732, -0.00874335877597332, -0.15662026405334473, -0.8517707586288452, 0.3516803979873657, 0.45650702714920044, -0.664800226688385, -0.07460566610097885, -1.179455280303955, -0.14617666602134705, -0.09927717596292496, 0.0070403297...
Part 1. Definition 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 does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes less sense. Part 2. Example Title: Marcus Buys Khakis. 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. Choices: a. Marcus was happy to have the right clothes for the event. b. He left in a huff for having his ideas mocked. Answer: b Explanation: Marcus is buying clothes for a business event and not presenting an idea. Part 3. Exercise Title: A Cooking Show. Sentence 1: Susan attended the cooking show of one of her favorite chef's. Sentence 2: She was surprised to be called up on stage. Sentence 3: She helped mix and stir ingredients. Sentence 4: She even had the chance to sample what they made. Choices: a. Susan was especially thrilled to be given a prize for participating. b. She was excited when she could buy her car. Answer:
b
7
NIv2
task214_rocstories_incorrect_ending_classification
fs_opt
[ 0.5338084697723389, 0.10686445981264114, -0.30929455161094666, 0.20484288036823273, 0.23305174708366394, -0.09644651412963867, 0.573196291923523, 0.9932541847229004, 0.32008451223373413, 0.5656272768974304, -0.9449563026428223, 0.15615049004554749, -0.413648784160614, -0.3160390257835388, ...
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 Portuguese. Your job is to translate the Portuguese sentence into Spanish. Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia. Solution: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia. Why? The Portugese sentence is correctly translated into Spanish, because the meaning is preserved. New input: De facto, ele estava tão certo de que só poderia ser "" majnun "", possuído por um génio, que quando se encontrou ainda vivo o seu primeiro impulso foi terminar o trabalho ele mesmo saltando do penhasco mais alto e escapando do terror do que tinha sentido pondo um fim a toda essa experiência. Solution:
De hecho, estaba tan seguro de que solo podía ser Majnun, poseído por un genio, que cuando se dio cuenta de que aún vivía, su primer impulso fue terminar el trabajo él mismo, saltando desde el acantilado más alto y así escapar del terror de lo que había experimentado poniendo fin a toda la experiencia.
0
NIv2
task1276_ted_translation_pt_es
fs_opt
[ 0.14647553861141205, 0.970515251159668, 0.3826477527618408, -0.6899820566177368, -0.1569712609052658, 0.053255341947078705, 0.29881227016448975, 1.0000147819519043, 0.41823387145996094, -0.7287729978561401, -1.0125823020935059, -0.2537183165550232, -0.8261182904243469, -0.08508243411779404...
TASK DEFINITION: Find the movie name from the given conversation. If the movie name is not found give output as "unknown" PROBLEM: ASSISTANT: Do you like movies like the Spotlight? SOLUTION: Spotlight PROBLEM: ASSISTANT: What kind of movies do you like? , USER: My favorites are comedy and horror. , ASSISTANT: Why do you enjoy this genre and is there a specific film? , USER: I just I like to laugh and the one that comes to mind is Tucker & Dale vs. Evil. SOLUTION: Tucker & Dale vs. Evil PROBLEM: ASSISTANT: What type of movies do you enjoy? , USER: comedies, thrillers, suspense , ASSISTANT: What appeals to you with these type of movies? , USER: I like to laugh, I like to be in suspense, and I like thrillers. , ASSISTANT: Is there a specific movie you enjoy from these genres? , USER: The Avengers SOLUTION:
The Avengers
8
NIv2
task926_coached_conv_pref_word_generation
fs_opt
[ -0.24383646249771118, 0.20581704378128052, -0.5038126111030579, -0.017427098006010056, -0.6557691097259521, 0.20664921402931213, 1.133139729499817, -0.17632675170898438, 0.08441668748855591, -0.5248379707336426, -0.14112697541713715, -0.5878087878227234, -0.7492473125457764, -0.08514615893...
TASK DEFINITION: In this task, you need to 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 '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, 'AUX': An auxiliary is a function word that accompanies the lexical verb of a verb phrase and expresses grammatical distinctions not carried by the lexical verb, such as person, number, tense, mood, aspect, voice or evidentiality, 'CCONJ': A coordinating conjunction is a word that links words or larger constituents without syntactically subordinating one to the other and expresses a semantic relationship between them, 'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context, 'INTJ': An interjection is a word that is used most often as an exclamation or part of an exclamation, '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, 'PART': 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, 'PUNCT': Punctuation marks are non-alphabetical characters and character groups used in many languages to delimit linguistic units in printed text, 'SCONJ': A subordinating conjunction is a conjunction that links constructions by making one of them a constituent of the other. The subordinating conjunction typically marks the incorporated constituent which has the status of a (subordinate) clause, 'SYM': A symbol is a word-like entity that differs from ordinary words by form, function or both, '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. PROBLEM: Sentence: {{ 6:30 }} am - 8:00 pm Word: 6:30 SOLUTION: NUM PROBLEM: Sentence: Please disregard and destroy the form you received on July 2 , as well as {{ any }} blank forms retrieved from the PEP system prior to that date . Word: any SOLUTION: DET PROBLEM: Sentence: I give {{ this }} dealer an A + ! Word: this SOLUTION:
DET
8
NIv2
task583_udeps_eng_coarse_pos_tagging
fs_opt
[ 0.6756975054740906, 0.2742915749549866, -0.024720685556530952, 0.021053895354270935, -0.0271461121737957, -0.4905475378036499, 0.8048785328865051, 0.7315893769264221, -0.42486026883125305, -0.32953304052352905, -0.22231420874595642, 0.10840481519699097, -0.5403240323066711, 0.4793187975883...
Given a sentence in German, generate a new German 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. [EX Q]: Eine Diskussion wird über eine Öffentlichkeit geführt. [EX A]: Ein Screenshot wird auf einer youtube gekauft. [EX Q]: Negative, die in der Stadt leben, können viele Orte ansprechen. [EX A]: Menschen, die in der Schlucht leben, können zu vielen Objekten gehen. [EX Q]: Das Zeichen der Reinigung Ihrer Kleidung entfernt Flecken. [EX A]:
Die Wirkung der Reinigung Ihrer Kleidung entfernt Flecken.
6
NIv2
task416_mickey_de_sentence_perturbation_generation
fs_opt
[ -0.7173613905906677, 0.3003431558609009, 0.2713797390460968, -0.3691500127315521, 0.08692821115255356, -0.0018439488485455513, 0.5226260423660278, 1.0337605476379395, 0.13295304775238037, -0.15365111827850342, -0.19757318496704102, 0.4753630757331848, -1.0311028957366943, -0.04753842204809...
Detailed Instructions: In this task, you are given dialogue, and you have to find the most critical location in the given conversation. Q: Good Evening! Can you please tell me about Flordia? Hello, sure I can. Did you know Florida is a peninsula? this means it's surrounded by water on three of four possible sides. To the west there's the Gulf of Mexico, to the south the Florida Straits, and to the east we the Atlantic Ocean. I didn't know that! Can you please tell me about the Economy in Florida? Yes. Actually North Florida and the rural counties of the Florida Panhandle are the most impoverished in the state. Interesting, Do you know any more facts about the Economy in Florida? Yes, another fun fact about Florida is that oranges are a major part of the economy. This state produces the majority of citrus fruit grown in the U.S. That is really cool! What other fruit does Florida produce? Sorry, I don't know about that, but what I can tell you is that another major economic engine in Florida is the United States military. I would love to learn about Florida's Demographics please. Absolutely! What I can tell you about demographics in Florida is that some native white Floridians, may refer to themselves as "Florida crackers". However, others see this term as derogatory. I'd love to learn some more fun facts about the Demographics in Florida. Awesome. Well, in Florida those of Asian ancestry account for 2.4% of the state's population while those of European ancestry account for 57.9%. Thank you for all the information! No problem is there anything else you'd like to know about Florida? A:
Florida
9
NIv2
task578_curiosity_dialogs_answer_generation
zs_opt
[ -0.09137694537639618, -0.11701637506484985, -0.2985422611236572, -0.29012590646743774, -0.21342913806438446, 0.2483820915222168, -0.22071674466133118, 1.3931910991668701, -0.31229156255722046, -0.023011155426502228, -0.7156252264976501, -0.26208776235580444, -0.3700695037841797, -0.1534076...
You will be given a definition of a task first, then some input of the task. In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally. Text: a brief backstory of my cursed right foot: 1. mother ended up parking on my right foot when i was 16 years old. she was dropping me off to drivers ed, when backing up she ran over my foot. i yelled. she stopped. almost a whole minute passes whereby i have a ten ton machine on my foot. 2. playing tennis i rolled my ankle and had a metatarsal (whatever the medical term) displacement/fracture. walked to the car just fine but it didn't swell to the size of a grapefruit until several hours later at night. 3. while on vacation in florida a mears taxi driver ran over my right foot while i was getting into the taxi, backed up and over it again. today: 4. tifu moment: rolled my ankle yet again going down the stairs of my backyard deck. currently uninsured (with a catastrophic only plan), after recently needing a biopsy while uninsured. f.m.l. Output:
TIFU by breaking my right foot for the fourth time in my life
1
NIv2
task510_reddit_tifu_title_summarization
zs_opt
[ -0.2651832699775696, 0.5707865953445435, -0.12591686844825745, 0.02125217393040657, -0.3619229793548584, -0.07922330498695374, 0.5941810607910156, 0.917768120765686, 0.3632074296474457, -0.17370638251304626, -0.041567377746105194, 0.021801242604851723, -0.7492265105247498, 0.11925014853477...
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the author is considering doing something in the future. Say 'yes' if the claim is true otherwise say 'no' Q: CLAIM : The following post is HISTORICAL. POST : I'm in my schools theater club and in our workshop there are 4 handprints. They have the names of the hands and the year they graduated in the middle of them (2010). I decided to take a picture of it, find the persons hand on facebook and send them the pic. One of them responded "How did you get this", I said "I'm a current thespian". She responded "Oh okay awesome. Enjoy". I havnt replied or even opened the message. Was I wrong for sending her the pic? I had the intention of maybe bringing back some good memories for her. A: no **** Q: CLAIM : The following post is HISTORICAL. POST : I’ll get straight to the point - I have [Aspergers Syndrome ](https://en.m.wikipedia.org/wiki/Asperger_syndrome), because of this I dislike being surrounded by people, and I really don’t like being the centre of attention. My 18th Birthday is in March, and I don’t plan on doing anything special, It’ll probably be just another typical day in my weekly schedule (College... *yay*). My Mom constantly asks me what I want to for my birthday, she’s making 18 years out to be such a big deal (which I guess it kinda is, especially in the UK), and suggests inviting (my 3) friends over for a mini party at my house (I hate party’s - haven’t been to one since Primary School). I was not a fan of this idea and turned it down instantly, as soon as I did that she started to have quite an attitude with me, saying stuff like “you can’t spend the rest of your life distancing yourself from other people”, and basically called me a ‘boring anti-social person’, which made me feel kinda bad (on the inside, I don’t express emotion). Am I am asshole for not wanting to do anything with people on my birthday, or does my mom have a point? A: yes **** Q: CLAIM : The following post is HISTORICAL. POST : Ok, so not as black and white as the title sounds, a few months ago my roommate mentioned something about maybe getting a dog eventually (even though our apartment has a no pet rule) at the time I said "yeah that could maybe be cool" and even joked about getting a cat too, but in no way were these actual plans of ours and after that we never talked about it again. Fast forward to last month where I get home one day and there is a puppy at the apartment. My roommate and 3 other friends spontaneously decided to get a year old puppy from the pound, the puppy is not just my roommates but has been staying at our place since the other friends who also got the dog don't have stable places to live at the moment/a place to keep it. The dog has defecated multiple times in the apartment and I've had to clean it up some of the time because my roommate was at work, it also has woken me up early in the morning multiple times from it barking. I've had roommates in the past and learned that sometimes you need to let some things slide with roommates so as to avoid unnecessary conflict and because of this I've been cool with the dog staying with us for the past month with the promise that the dog will soon be moved somewhere else. Today I was with my friends (the ones who also got the dog) and they were talking about how they might not be able to have somewhere for the dog to stay because of some home issues, I then made the comment that if the dog wasn't gone soon, I was going to tell apartment management about it because I don't want to live with a dog and I could potentially get in trouble with my roommate for letting the dog staying with us. I haven't threatened to report the dog at all before this and my friends said that it was a dick move of me to drop that on them and that they just needed some more time to figure something out without me threatening them. Am I being an asshole for threatening to report them to management for this? A:
no ****
4
NIv2
task501_scruples_anecdotes_post_type_verification
fs_opt
[ 0.4126858711242676, 0.33047935366630554, -0.3978806436061859, -0.23601284623146057, 0.28046950697898865, -0.7720308303833008, 0.3607812523841858, 1.1577354669570923, -0.4495266079902649, -0.11087650060653687, 0.40793535113334656, 0.9296368360519409, -0.26154768466949463, -0.158772647380828...
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'. Q: Problem: if 10 litres of an oil of rs . 50 per litres be mixed with 5 litres of another oil of rs . 66 per litre then what is the rate of mixed oil per litre ? Options: a ) rs . 49.17 , b ) rs . 51.03 , c ) rs . 54.17 , d ) rs . 55.33 , e ) none of the above A:
d
4
NIv2
task1419_mathqa_gain
zs_opt
[ 0.3799005448818207, 0.08457796275615692, -0.20455707609653473, -0.45148229598999023, -0.3393731117248535, -0.9351300001144409, 0.6758221983909607, 1.2373095750808716, 0.17881442606449127, 0.01119947899132967, -0.414215087890625, -0.45211780071258545, -0.7817680835723877, 0.1350333988666534...
Instructions: Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words. Input: Sentence1: Birds are endothermic tetrapod vertebrates. Sentence2: Animals with backbones are called vertebrates. Output:
vertebrates
3
NIv2
task039_qasc_find_overlapping_words
zs_opt
[ 0.20379692316055298, 1.0280132293701172, -0.05325011909008026, -0.35107266902923584, -0.3894237279891968, -0.41874265670776367, 0.9388580322265625, 0.0506572462618351, -0.049639347940683365, -1.0217448472976685, -0.424196720123291, 0.049434687942266464, -1.0299770832061768, 0.6093456149101...
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 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. Q: Head: lumberjack<sep>Tail: fall tree A:
Yes
9
NIv2
task1215_atomic_classification_capableof
zs_opt
[ -0.06764668226242065, 0.9743086099624634, 0.6311705112457275, -0.3659374713897705, -0.37671875953674316, -1.0146918296813965, 1.088692307472229, 0.4651705324649811, -0.21024392545223236, -0.20020776987075806, -0.5607462525367737, -0.4792322516441345, -0.41679754853248596, 0.579904496669769...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. Translation from English to Telugu. Many strange legends are told of these jungles of India, but none so strange as the story of a small boy named Mowgli. Solution: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అరణ్య యొక్క చెప్పబడ్డాయి, కానీమోగ్లీఅనేచిన్నబాలుడుకథ కాబట్టి వింత Why? The translation is fluent, formal, and Precise. New input: Sore Bone. Solution:
గొంతు బోన్.
0
NIv2
task1330_open_subtitles_en_te_translation
fs_opt
[ -0.2479543685913086, 0.6664969325065613, -0.3413691818714142, 0.09999425709247589, -0.10988065600395203, -0.9948501586914062, 0.12893329560756683, -0.0868644043803215, -0.44255462288856506, -0.45980238914489746, -0.5112944841384888, -0.12570801377296448, -0.6738896369934082, 0.228360489010...
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous names (MISC). There can be instances with no named entities, then return 'None'. [Q]: Die probeerde woensdag en donderdag de hele tijd op hem in te praten , daarin gesteund door een psycholoog van de politie . [A]: None [Q]: Na de overwinning eerder deze maand van het Turkse Galatasaray in de finale van de Uefa-beker , palmden Turkse supporters urenlang de openbare weg in in de Gentse binnenstad . [A]: Turkse: B-MISC, Galatasaray: B-ORG, Uefa-beker: B-MISC, Turkse: B-MISC, Gentse: B-MISC [Q]: In totaal zal deze Traviata te zien zijn in 125 landen . [A]:
Traviata: B-MISC
5
NIv2
task1544_conll2002_named_entity_recognition_answer_generation
fs_opt
[ -0.4718647301197052, 0.08740586042404175, 0.4161764681339264, 0.0033546853810548782, -0.20374245941638947, -0.3316906690597534, 0.544228196144104, -0.1450887769460678, 0.26238977909088135, -0.26283788681030273, -0.46505701541900635, 0.30781400203704834, 0.4619375169277191, 0.31974387168884...
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text. [Q]: Ruslan Stoyanov, a member of Kasperksy's investigations team, was arrested in December but news of his apprehension has only just surfaced. He was arrested as part of an investigation into payments he allegedly received from foreign firms. At Kaspersky, Mr Stoyanov helped look into hack attacks and breaches at Russian companies. In a statement, Kaspkersy Lab said the arrest had nothing to do with his work for the security firm. "Ruslan Stoyanov is under investigation for a period predating his employment at Kaspersky Lab," said the company in a statement. Mr Stoyanov joined Kaspersky in 2012. It added: "We do not possess details of the investigation." Prior to working for Kaspersky, Mr Stoyanov was employed at other security firms. From 2000 to 2006 he was a major in the Russian Ministry of Interior's Moscow cybercrime unit. Information about the reasons for the arrest are scant, but one Russian newspaper linked it to a probe into Sergei Mikhailov - a senior official at Russia's FSB intelligence service. Forbes reported that Mr Stoyanov has been arrested under Article 275 of Russia's criminal code which lets prosecutors charge people for treason for "providing financial, technical, advisory, or other assistance" to other countries or non-Russian organisations seen as hostile. [A]: A cybersecurity researcher working for anti-virus firm Kaspersky Lab in Russia has been arrested. [Q]: His parents, Chris Gard and Connie Yates, have launched a final legal challenge at the European court after their Supreme Court challenge failed. They want the 10-month old to undergo a trial in the US, but London specialists believe he has no chance of survival. The European court wants until Tuesday to consider the case. Judges in Strasbourg, France, ruled that Charlie should receive treatment while they look at paperwork in the case. The court said this type of interim measure was exceptional, when the applicants would face a "real risk of irreversible harm". A spokeswoman said Charlie's parents wanted a panel of seven judges to look at the case in detail. No decisions about whether or not the case would be analysed at a hearing had yet been made, she said. Charlie has been in intensive care at Great Ormond Street Hospital since October last year. He has mitochondrial depletion syndrome, a rare disorder that affects the genetic building blocks that give energy to cells. Doctors say he cannot hear, move, cry or swallow and that his lungs only go up and down because he is on a machine that does it for him. Specialists believe the US trial is experimental and will not improve his quality of life, and therefore he should be allowed to die with dignity. Charlie's parents have exhausted all legal options in the UK. 'Not a cure' On Tuesday, the High Court ruled that life-sustaining treatment could be withdrawn, and on Thursday, the Supreme Court rejected the parents' appeal against that decision. The Supreme Court said parents were not entitled to insist on treatment which was not in their child's best interests. Charlie is thought to be just one of 16 children in the world to suffer from mitochondrial depletion syndrome. His parents have managed to raise £1.3m on a crowdfunding site to pay for the US treatment and to get him to the country safely, as a specialist plane and nurses are needed. The American doctor who has agreed to treat Charlie has previously told the High Court the six-month therapy would be "treatment but not a cure". The neurologist who would oversee the treatment told the court that while Charlie was in the "terminal stage" of his illness, treating him would be compassionate. He added that there could be a meaningful improvement to his brain function meaning that he might be able to interact and smile. [A]: Terminally-ill baby Charlie Gard must continue to receive life-support treatment until Tuesday, the European Court of Human Rights has said. [Q]: By Michael McKenzie & Mark SavageBBC London Mr Trump's cabinet includes conservatives who oppose gay rights, and Gaga said she would work to protect advances made by the LGBTQ community. "[We] are going to do everything that we can to protect the social progress we have made over the last eight years," she told BBC News. "Political progress cannot happen unless there is social progress. "You can create lots of jobs, you can create new policy - but those things cannot work unless people like each other, unless people are kind to one another. "We need to stay in a kind place and we need to bond during this time, and be as harmonious as possible, and intelligent in the way we approach this." Although Mr Trump has called himself a "real friend" of the LGBTQ community, several of his appointments have caused alarm within it. Early in his career, vice President-elect Mike Pence opposed same-sex marriage and appeared to advocate diverting government funds away from HIV treatment in favour of gay "conversion therapy". His spokesman recently denied this, telling the New York Times that Pence neither "supported or advocated" the practice. More recently, he signed into law a controversial Religious Freedom Restoration Act. Critics argue the law discriminates against the LGBT community by allowing businesses to refuse service over religious beliefs. Under national pressure, he later signed an amendment stating businesses could not discriminate against gay people, drawing criticism from conservatives who said they felt betrayed by the revision. There have also been concerns over the appointment of Jeff Sessions as attorney general. The Alabama senator opposed lifting a ban on openly gay people serving in the military and voted in support of banning same-sex marriage. Role model? Lady Gaga has long been an advocate for the LGBTQ community, and spent part of last week's Thanksgiving holiday visiting a shelter for homeless LGBTQ youth in New York. The star, who campaigned stridently for Hillary Clinton during the election, also protested outside Trump Tower when the results were announced last month. But she accepted that not everyone would see her as a suitable spokesperson on US politics. "I've done a lot in my career," she said. "I'm sure there's many people who would say 'Lady Gaga's not role model. Did you see this performance? Did you see that performance?' "But the truth is that when I was younger... I didn't quite understand the amount of attention that I had [or] the amount of people that would listen to me. "I am older now and I am aware of my voice in the world and I want to be as much of a role model as I can be through my music as well as my performance. "With my album, Joanne, the intention was to focus on family and focus on friendship and focus on kindness and vulnerability and the release of pain, the revealing of pain. "This album, for me, is a reminder to care about one another, care about your family and heal the wounds of intergenerational tragedy." Gaga was speaking to the BBC ahead of a secret gig for 65 fans in London. She performed from inside a giant "snow globe" on the roof of the Westfield Shopping Centre, playing acoustic versions of her songs Bad Romance, Joanne and Million Reasons. "It's a very holiday-like, warm experience," she told the BBC. "I love my London and UK fans so much, and performing my new music for them in such an intimate and spectacular location was the perfect way to celebrate the holidays." Follow us on Facebook, on Twitter @BBCNewsEnts, or on Instagram at bbcnewsents. If you have a story suggestion email entertainment.news@bbc.co.uk. [A]:
Pop star Lady Gaga has called for an "harmonious" and "intelligent" response to Donald Trump's presidency.
5
NIv2
task1357_xlsum_summary_generation
fs_opt
[ 0.7421919703483582, 0.12093673646450043, -0.507616400718689, -0.550574779510498, 0.3931548595428467, 0.3080384135246277, 0.6594152450561523, 0.9630224108695984, -0.008204551413655281, 0.3339540958404541, 0.09562194347381592, 0.8934011459350586, -0.18101783096790314, 0.3313130736351013, -...
You will be given a definition of a task first, then some input of the task. In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story. Sentence 1: Sue needed a ride home from work. Sentence 2: She was too embarrassed to call her friends. Sentence 3: She didn't want people to think she couldn't care for herself. Sentence 4: After pondering for awhile, she called Frank. Sentence 5: Frank happily took her home and told her to call him anytime. Output:
Ride from work
1
NIv2
task219_rocstories_title_answer_generation
zs_opt
[ -0.23747700452804565, 0.6931024789810181, 0.2578667998313904, -0.30636483430862427, 0.6552666425704956, -0.15346139669418335, 0.25088852643966675, 0.24734735488891602, -0.09600678086280823, 0.775653064250946, -0.20356425642967224, -0.20369774103164673, -0.06769309937953949, -0.573749125003...
Instructions: 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 does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes less sense. Input: Title: The Thief. Sentence 1: A world renowned jewel thief had his eye on a new piece. Sentence 2: The piece was put under the best security in the world. Sentence 3: On his attempt to steal the piece a janitor walked by and saw him. Sentence 4: After convincing the janitor to work with him the two stole the piece. Choices: a. After selling the piece the janitor turned the thief in and ran away. b. He was rushed to the hospital and had to have his appendix taken out. Output:
b
3
NIv2
task214_rocstories_incorrect_ending_classification
zs_opt
[ -0.142210453748703, 0.881503701210022, -0.19369900226593018, -0.06456254422664642, 0.22168806195259094, 0.6002103090286255, -0.27551645040512085, 0.7809404134750366, 0.14013294875621796, -0.04993283003568649, -0.8706861734390259, 0.01925140805542469, -0.4137108027935028, -0.092034026980400...
Given the task definition and input, reply with output. In this task, you are given a sentence in Persian, and your task is to translate it into English. اين كثافت پليسها را خبر كرده .
the cocksucker tipped off the cops .
5
NIv2
task659_tep_fa_en_translation
zs_opt
[ -0.24024294316768646, 0.9503880739212036, -0.14425089955329895, 0.011877037584781647, -0.918942391872406, -0.3980746865272522, 0.36362355947494507, 0.40675467252731323, 0.3736712336540222, -0.1502373218536377, -0.9660971164703369, 0.6220743656158447, -0.41847625374794006, 0.221854835748672...
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context. The original ending is the last three sentences of the story. Also, you are given a new ending that can provide the new story with the same premise. You should write a counterfactual context to explain the small differences between the original and new endings. More specifically, a story context contains the general plot of the story. And a counterfactual context is a slight modification to the initial context. To sum up, you should write the second sentence of a story based on the premise(first sentence) and the new ending(last three sentences) of the story. Ex Input: Premise: Elizabeth likes to read novels. Initial Context: Her apartment has very dim lights that are not good for reading. Original Ending: Elizabeth decided to go to a furniture store to get a proper light. She ended up spending a lot of money on a reading lamp. Elizabeth now treasures her reading lamp as it give her pleasure. New ending: Elizabeth had decided to go to a furniture store to get proper lights last month. She ended up spending a lot of money on lights. Elizabeth treasures her lights as they give her pleasure. Ex Output: Her apartment has the perfect lighting for reading. Ex Input: Premise: Dan followed the rainbow over the hills and roads. Initial Context: No matter how close he got he couldn't find the end. Original Ending: It was always just right ahead of him. Dan finally got a splendid idea. He got out his mobile and took a picture of the rainbow. New ending: It was literally right there in front of him. Dan finally understood what was happening. He recognized the sound of his mobile-phone alarm and woke from the dream of the rainbow. Ex Output: He reached the end of the rainbow and found a pot of gold!. Ex Input: Premise: Dave was a recluse. Initial Context: He rarely left the house, usually only to get the mail. Original Ending: Last Friday he noticed Tom moved in next door. Dave thought he'd go introduce himself. Today Dave found himself knocking on Tom's door, smiling. New ending: Last Friday he noticed Tom moved in two miles down the road. Dave thought he'd go introduce himself. Today Dave found himself knocking on Tom's door, smiling. Ex Output:
The fact that he didn't live near other houses didn't help.
1
NIv2
task270_csrg_counterfactual_context_generation
fs_opt
[ 0.5312858819961548, 0.20567256212234497, 0.07397930324077606, -0.057102594524621964, 0.1422664374113083, -1.010646104812622, 0.2668219208717346, 1.2702142000198364, 0.04065141826868057, 0.13702145218849182, -0.4590679109096527, -0.15574148297309875, -0.17632201313972473, -0.099130347371101...
Q: In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations. Context: Jesse took the books back to the store when she realized she didn't need them anymore. Question: How would you describe Jesse? Options: (A) they are good at selling (B) they are smart (C) thrifty Answer: C A:
No
7
NIv2
task579_socialiqa_classification
zs_opt
[ -0.443600058555603, 0.1561860740184784, 0.39104151725769043, 0.43771710991859436, 0.30073082447052, -0.3118499517440796, 0.3878522515296936, 0.38916319608688354, 0.18379473686218262, 0.5978405475616455, -0.11855491995811462, -0.16024498641490936, -0.32980334758758545, -0.4505355656147003, ...
Given a scientific passage and an answer, generate a question for the given answer. Q: Passage: New mitochondria and chloroplasts are produced through a process similar to binary fission . Bacteria also reproduce through binary fission. Answer: binary fission A: How do bacteria reproduce? **** Q: Passage: Sulfate minerals contain sulfur atoms bonded to oxygen atoms. Like halides, they can form in places where salt water evaporates. Many minerals belong in the sulfate group, but there are only a few common sulfate minerals. Gypsum is a common sulfate mineral that contains calcium, sulfate, and water. Gypsum is found in various forms. For example, it can be pink and look like it has flower petals. However, it can also grow into very large white crystals. Gypsum crystals that are 11 meters long have been found. That is about as long as a school bus! Gypsum also forms at the Mammoth Hot Springs in Yellowstone National Park, shown in Figure below . Answer: oxygen and sulfur A: What two types of atoms bond to form sulfate minerals? **** Q: Passage: A mountain-building event is called an orogeny . Orogenies take place over tens or hundreds of millions of years. Continents smash into each other. Microcontinents and island arcs smash into continents. All of these events cause mountains to rise. Answer: orogeny A:
What is the term for a mountain-building event? ****
4
NIv2
task594_sciq_question_generation
fs_opt
[ 0.8340515494346619, 0.2549956142902374, -0.7311309576034546, -0.08546245843172073, 0.13566192984580994, -0.767470121383667, -0.7002871036529541, 0.9011039733886719, 0.02183414250612259, -0.12037289142608643, -0.3912564516067505, 0.37878167629241943, -0.8538240790367126, -0.0949974656105041...
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English. Input: Consider Input: O que causou o desmoronamento? Output: What caused it? Input: Consider Input: Esta é a forma como os "" nerds "" fazem uma festa. Output: This is how geeks party. Input: Consider Input: LC: Esperamos que aconteça nos próximos dois anos.
Output: LC: Hopefully within the next two years.
2
NIv2
task1274_ted_translation_pt_en
fs_opt
[ -0.5776959657669067, 0.7937292456626892, 0.1916656196117401, -0.2894623875617981, -0.20228949189186096, -0.3064408600330353, -0.9012378454208374, 0.5410927534103394, 1.0802860260009766, -0.19367395341396332, -0.2321348786354065, 0.42451080679893494, -0.9016827940940857, -0.2442804276943206...
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions. 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]. Q: #1 return large objects #2 return #1 that are shiny #3 return #1 between #2 A: What large object is between the two large shiny objects? **** Q: #1 return cubes #2 return #1 that are small #3 return #1 that are shiny #4 return #1 in both #2 and #3 #5 return the color of #4 A: What color is the cube that is small and shiny? **** Q: #1 return object #2 return shape of #1 #3 return larger #1 #4 return shape of #3 #5 return #1 where #2 is same as #4 #6 return #1 besides #5 A:
Which object does not have a larger size of the same shape? ****
4
NIv2
task184_break_generate_question
fs_opt
[ 0.6656001210212708, -0.19258984923362732, -0.5938047766685486, 0.28147363662719727, 0.3883292078971863, -0.19890883564949036, 0.8793002367019653, 0.6561840772628784, -0.5867409706115723, 0.7558473348617554, -0.4824734926223755, 0.31817975640296936, 0.18457701802253723, -0.09458497911691666...
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story. Example Input: Sentence1: A friend of ours told us to watch a show called Blippy. Sentence2: It is this odd show on Youtube. Sentence3: It is nothing special, just a show aimed for kids. Sentence4: It made me think I can maybe create a show. Sentence5: I should really think about doing that and making a ton of money. Example Output: I (myself), Ours, Kids, Friend Example Input: Sentence1: Tom ran for a local election. Sentence2: He was running as a protest candidate. Sentence3: The two main candidates were brought down by scandals. Sentence4: There wasn't enough time to replace them. Sentence5: Tom wound up winning the election. Example Output: Two main candidates, Tom Example Input: Sentence1: I had a Skype meeting with my professor today. Sentence2: I felt extremely anxious beforehand because I don't like to Skype. Sentence3: Luckily, it was only a 3 minute call. Sentence4: It was still weird that we were video chatting each other. Sentence5: It was awkward hanging up too. Example Output:
I (myself), Professor
3
NIv2
task292_storycommonsense_character_text_generation
fs_opt
[ 0.027067726477980614, -0.2068302035331726, 0.22455453872680664, -0.21103686094284058, 0.29611751437187195, -0.503526508808136, 0.3781995177268982, 1.1743156909942627, -0.41208919882774353, 0.12855727970600128, -0.4710828363895416, 0.1942591369152069, -0.32683008909225464, -0.69123148918151...
Q: Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context and the story's general plot. The original ending is the last three sentences of the story. Also, a counterfactual context is a slight modification to the initial context. You should write a new story ending that edits the original story ending as little as possible to regain coherence with the counterfactual context. To sum up, you should write the last three sentences of a story based on the premise(first sentence) and the counterfactual context(second sentence) of the story. Premise: A boy and a girl were looking for trees to climb at the park. Initial Context: They both wanted a challenge, and they soon found the best tree. Original Ending: It was the biggest tree in the park, and the kids scrambled up it. When they got to the top, they realized they'd have go down. The fire department had to be called to get them out of the tree! Counterfactual Context: They both wanted a challenge, but the trees are too small. A:
They found the biggest tree in the park, and the kids scrambled up it. When they got to the top, they realized they'd didn't want to leave. Their mother had to be called to get them out of the tree!
7
NIv2
task269_csrg_counterfactual_story_generation
zs_opt
[ 0.7641931772232056, 0.3416116237640381, 0.1812860369682312, -0.6150795817375183, -0.07456500828266144, -0.8174975514411926, -0.07919257134199142, 1.003145456314087, 0.23402556777000427, -0.15037347376346588, -0.6565893888473511, -0.4467419385910034, -0.2858017683029175, 0.08320076018571854...
This task is about translating a given Yoruba language sentence to English. Q: Marcos Scher ń ta ìwé ìròyìn náà nínú ìdádúró iná adarí ọkọ̀ kí àjákálẹ́ àrùn ó tó bẹ̀rẹ̀. Àwòrán: Charlotte Dafol/ a gba àṣẹ kí a tó lò ó A:
Marcos Scher selling the paper at traffic lights before the pandemic. Photo: Charlotte Dafol/Used with permission
4
NIv2
task1686_menyo20k_translation
zs_opt
[ 1.0403045415878296, 0.29510146379470825, -0.6694422960281372, -0.21348071098327637, -0.010516194626688957, -0.06735549867153168, 0.1895189881324768, 0.17380282282829285, 0.97481369972229, -0.18999403715133667, 0.4145665466785431, -0.16399672627449036, -0.1278320550918579, 0.650897562503814...
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese. [Q]: אתה. כן. (צחוק) עם השיניים המוזרות. ואתה שלידו. (צחוק) אתם יודעים מי אתם. [A]: Sim, é mesmo o senhor! (Risos) Dos dentes esquisitos. E, você aí, ao lado dele. (Risos) Vocês sabem quem são. [Q]: "C" מייצג "מצפוניות," בניגוד לאלה עם גישה יותר אדישה לחיים. [A]: "" C "" significa "" conscienciosidade "", em contraste com aqueles com uma abordagem mais apática da vida. [Q]: הריאנה היא מדינה שיש בה 30 מליון אנשים. [A]:
Haryana é um estado com 30 milhões de pessoas.
5
NIv2
task1114_ted_translation_he_pt
fs_opt
[ -0.9206680059432983, 0.8951162099838257, 0.31997960805892944, -0.6911711096763611, -1.0804170370101929, 0.15121990442276, 0.31079649925231934, 0.4688160717487335, 0.7681374549865723, -0.17504188418388367, -0.9153745174407959, 0.30304574966430664, -0.49906474351882935, 0.04904348775744438, ...
In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False". We've been eating this delightful cereal for several years. My kids always feel better on gluten free foods and so do I. Unlike the popular junky cereals, this version of a slightly chocolately cereal is light and not too sugary and it's a special treat for the kids. I also like supporting Envirokids products - the pricing has come down to where it's nearly the same as the other mainstream cereals that are not as good for you. Summary: Lemonylicious
False
0
NIv2
task590_amazonfood_summary_correction_classification
zs_opt
[ -0.9332321882247925, 0.5627131462097168, 0.2990158796310425, -1.157813549041748, -0.5488333702087402, -0.6452564001083374, 0.40048542618751526, 0.4092927575111389, -0.5251064896583557, -0.39096057415008545, -0.4089871644973755, 0.05692695081233978, -0.6486983895301819, 0.05666346848011017,...
Teacher: In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "woman" and "man". Teacher: Now, understand the problem? If you are still confused, see the following example: W: The movie next Tuesday has been cancelled due to lack of interest. M: What do you mean? W: Well, by last night only a few tickets has been sold. Solution: What can we conclude about the movie? (A) They want to buy the tickets for the movie. (B) The tickets for the movie were sold. (C) The movie will not be shown. Reason: This is a good example. Based on the conversation, the movie has been canceled, and it will not be shown. We could understand that only option (C) is correct. As mentioned in the conversation, only a few tickets have been sold, so option (B) is incorrect. We don't know if they wanted to buy a ticket or not, so option (A) is incorrect as well. Now, solve this instance: M: Okay, here are my bag and my ID card. Do I need to take off my jacket and my belt? W: Yes, your shoes as well. And please show me your flight ticket, too. Student:
Where is the conversation taking place? (A) At a hospital. (B) At a clothing store. (C) At an airport.
2
NIv2
task246_dream_question_generation
fs_opt
[ 0.3810277581214905, -0.0413946807384491, -0.5295295119285583, -0.019997745752334595, 0.7392274141311646, -0.5341252684593201, 0.84238600730896, 0.6317116022109985, -0.4223652482032776, 0.012178875505924225, -0.3269818425178528, 0.01908891275525093, 0.29511645436286926, 0.06495979428291321,...
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb Example: What is the part-of-speech tag of the word "the" in the following question: Who were the builders of the mosque in Herat with fire temples ? Example solution: IN Example explanation: This is a good example. POS tag of the is DT and IN is incorrect. Problem: What is the part-of-speech tag of the word "for" in the following question: How long did the second place finisher drive for Ferrari ?
Solution: NN
5
NIv2
task347_hybridqa_incorrect_answer_generation
fs_opt
[ 0.22702015936374664, 0.4751158356666565, 0.14672473073005676, 0.5593726634979248, -0.1778121292591095, -0.8152754306793213, 0.8069894909858704, 0.6529953479766846, -0.3936023414134979, 0.1805839091539383, -0.31541764736175537, 0.42221885919570923, 0.20829248428344727, 0.25781816244125366, ...
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 PersonX needs what is mentioned in the Tail before the Head or not. Here need is a precondition for PersonX to achieve the event. For example, in order for PersonX to give PersonY gifts, PersonX must first buy the presents. 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. Ex Input: Head: PersonX accepts the job<sep>Tail: proud Ex Output: No Ex Input: Head: PersonX beats PersonX's swords into ploughshares<sep>Tail: brutal Ex Output: No Ex Input: Head: PersonX colors PersonY's hair<sep>Tail: go to hair salon Ex Output:
Yes
1
NIv2
task1202_atomic_classification_xneed
fs_opt
[ 0.47607606649398804, -0.058963801711797714, 0.20410841703414917, 0.17320173978805542, -0.3085574209690094, -1.0281803607940674, 0.7395824193954468, 1.1359009742736816, -0.6093789339065552, -0.2039947509765625, -0.6276789903640747, -0.63494873046875, -0.32985979318618774, -0.175302848219871...
Detailed Instructions: In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B. See one example below: Problem: [5797, 8817, '8297', 'b', 'U', 'b'], [5843, 8809, '8297', 'b', 'W', 'C'] Solution: 8297, b Explanation: Here, '8297, b' is the longest common subsequence in both the input lists [5797, 8817, '8297', 'b', 'U', 'b'] and [5843, 8809, '8297', 'b', 'W', 'C']. Problem: [2787, 'N', 'I', 'M', 'x', '3825', 'r', '1041', 'y', 'a', 'v', 6057], ['F', 6523, 'x', '3825', 'r', '1041', 's', 'C', 3001, 8425] Solution:
x, 3825, r, 1041
4
NIv2
task605_find_the_longest_common_subsequence_in_two_lists
fs_opt
[ -0.08556609600782394, -0.19722270965576172, -0.49980536103248596, -0.4150187373161316, -0.04637300968170166, -0.44489729404449463, -0.3776295781135559, 0.5423278212547302, -0.36806613206863403, -0.0403929203748703, -1.2285385131835938, -0.28470295667648315, 0.6609071493148804, 0.1481833457...
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence. Q: Sentence 1: Black dog near a dock looks into murky water Sentence 2: A dog is at a lake. A:
A dog is near dirty water.
4
NIv2
task189_snli_neutral_to_contradiction_text_modification
zs_opt
[ -0.7661062479019165, 0.5856000185012817, 0.3112281560897827, -1.278254508972168, 0.012198458425700665, -0.035199135541915894, -0.27803775668144226, 0.8154213428497314, 0.4591194689273834, -0.54142165184021, -0.612108051776886, -0.5352149605751038, -0.6316056847572327, 0.060062043368816376,...
instruction: In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No". question: what is the role of heredity, Answer: Heredity is the passing of traits to offspring from its parents or ancestor. answer: Yes question: how much is jk rowling worth, Answer: They have become the best-selling book series in history , and been the basis for a series of films which has become the highest-grossing film series in history . answer: No question: who shot franz ferdinand, Answer: On 28 June 1914, Archduke Franz Ferdinand of Austria , heir presumptive to the Austro-Hungarian throne, and his wife, Sophie, Duchess of Hohenberg , were shot dead in Sarajevo , by Gavrilo Princip , one of a group of six Bosnian Serb assassins coordinated by Danilo Ilić . answer:
Yes
9
NIv2
task1294_wiki_qa_answer_verification
fs_opt
[ 0.156936913728714, 0.4474979043006897, -0.5198298692703247, 0.04701753333210945, -0.28933924436569214, -0.07941079884767532, 1.4902129173278809, 0.007417740300297737, -0.03618856891989708, -0.11237715929746628, -0.5857789516448975, 0.12662290036678314, -1.116626262664795, -0.03319771215319...
Given the task definition and input, reply with output. In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively Hypothesis: Friends should be involved in each others life events. Update: it is a private event.
weakener
5
NIv2
task937_defeasible_nli_social_classification
zs_opt
[ -0.6567652225494385, 0.6418450474739075, 0.14921438694000244, 0.29719483852386475, 0.0414138063788414, -0.369709849357605, 0.7869657874107361, 0.6564607620239258, 0.5890888571739197, -0.5353936553001404, -1.5610144138336182, 0.009556698612868786, -0.39986008405685425, 0.11329344660043716, ...
Given the task definition and input, reply with output. 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. [1, 7, 1, 2, 3, 1, 3, 3]
[7, 2]
5
NIv2
task097_conala_remove_duplicates
zs_opt
[ -0.3450790047645569, 0.7469669580459595, -0.1385410875082016, -0.4041110873222351, 0.26853489875793457, -0.4748452603816986, 1.061098575592041, -0.12945041060447693, -0.3093856871128082, 0.10111148655414581, -0.9708976745605469, -0.12127043306827545, -0.07057353854179382, -0.19971802830696...
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct answer is the holding statement that corresponds to the citing text. You should write an incorrect option. Even though there exist multiple wrong answers, we only need a single wrong answer. There is a <HOLDING> token in the position of the citing text prompt where the holding statement was extracted. Q: Committee recognizes that the fishing industry is compelled to deal with the vicissitudes of fish stocks, abundance, changes in consumer choice, and economic conditions which makes for a great deal of uncertainty. There is, however, a need to protect all concerned parties by discouraging persons from deliberately and knowingly providing the Councils with false information. The Committee has thus attempted to clarify these issues. See House Comm, on Merchant Marine and Fisheries, H. Rep. No. 99-165 (1985), reprinted in 1986 U.S.C.C.A.N. 6249, 6254-55. This language, the only legislative history related to 16 U.S.C. § 1857(1)(I), simply indicates the rationale for that provision. It in no way suggests that Congress intended to preempt 18 U.S.C. § 1001. Cf. Anderez, 661 F.2d at 407 & n. 7 (<HOLDING>). Having determined that appellants’ preemption Holding statements: (A) holding that legislative history of the misdemeanor provisions of the currency and foreign transactions reporting act 31 usc 1058 1101 indicated only that the provisions would be of tremendous help and did not suggest congresss intent to preempt 18 usc 1001 (B) holding that 18 usc 1920 the misdemeanor false statement provision of the federal employees compensation act feca preempted 18 usc 1001 because 41 of feca expressly repealed all inconsistent statutes (C) holding that 18 usc 1919 did not implicitly repeal 18 usc 1001 (D) holding that because the bank had no duty to report defendants structured transactions these transactions did not constitute material facts within the meaning of 18 usc 1001 consequently defendant may not be held criminally liable under 18 usc 2b for causing the bank to fail to disclose a material fact (E) holding that a wide application was required given the legislative intent for the remedial provisions of the act A:
holding that 18 usc 1920 the misdemeanor false statement provision of the federal employees compensation act feca preempted 18 usc 1001 because 41 of feca expressly repealed all inconsistent statutes
4
NIv2
task287_casehold_legal_incorrect_answer_generation
zs_opt
[ 0.3080814778804779, -0.40814173221588135, -0.7836191654205322, 0.665087103843689, 0.4683428108692169, -1.3664753437042236, 0.27138274908065796, 0.8182884454727173, -0.6827088594436646, 0.06597886979579926, -0.18776032328605652, -0.11518695950508118, -0.4862953722476959, -0.0304445233196020...
Detailed Instructions: We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of death penalty. An invalid argument is a phrase that cannot be interpreted as an argument or not on the topic of death penalty. Problem:I say if someone gets life w/o parole, they should be put into a real jail, rather than the country clubs many criminals go to. Solution:
Valid
8
NIv2
task149_afs_argument_quality_death_penalty
zs_opt
[ 0.47231781482696533, 0.3423801064491272, 0.27944013476371765, 0.17724232375621796, -0.5018649101257324, -1.6514227390289307, 0.39226359128952026, 0.32250750064849854, -0.33014944195747375, 0.5252339839935303, -0.2648366093635559, -0.41837596893310547, -0.539928674697876, 0.3643598854541778...
Detailed Instructions: In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list. Q: ['p', '129', 'l', 'g', 'm', 'p', 'm', '255', '203', '353', '265', '105', '253'] A:
0, 1, 2, 3, 5, 6, 9
9
NIv2
task637_extract_and_sort_unique_digits_in_a_list
zs_opt
[ -0.6576239466667175, -0.23713922500610352, -0.21342888474464417, -0.9561631679534912, 0.031882911920547485, 0.005387254059314728, 0.8016915321350098, -0.4041537344455719, -0.7910273671150208, -0.13337242603302002, -1.1047444343566895, -0.15508612990379333, -0.6726047992706299, -0.296890377...
You will be given a definition of a task first, then some input of the task. In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Option 2'. The incorrect option will change the subsequent storyline, so that at least one of the three subsequent sentences is no longer consistent with the story. Sentence 1: Jon had worked very hard at his science project. Sentence 3: Jon's project was very popular and received many visitors Sentence 4: Jon answered many people's questions regarding his amazing project Sentence 5: Jon was very happy to win the blue ribbon for his science project! Option 1: Jon brought it to the science fair and set up a booth for all to see. Option 2: Jon brought it to the science fair but no one went to see his project. Output:
Option 1
1
NIv2
task065_timetravel_consistent_sentence_classification
zs_opt
[ -0.3959790766239166, 0.45683616399765015, 0.39535588026046753, -0.05451350659132004, 0.18188540637493134, -0.10141097009181976, -0.42845624685287476, 1.009320855140686, 0.024667739868164062, 0.1659490168094635, -0.48260533809661865, -0.468116819858551, 0.28717589378356934, -0.5301377773284...
Detailed Instructions: In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology. Problem:Question: A 35-year-old woman consulted for the appearance of maculo-papular lesions in the upper limbs without other symptoms. The biopsy of one of them demonstrates the presence of noncaseating granulomas. Blood tests are normal except for an elevation of angiotensin-converting enzyme (ACE) levels. On chest radiography, bilateral hilar adenopathies are detected. Which of the following considers the most appropriate attitude? Options: <0> Start treatment with corticosteroids orally. <1> Start treatment with oral hydroxychloroquine. <2> Start treatment with azathioprine orally. <3> Start treatment with leflunomide orally. <4> Continue study without starting treatment. Solution:
medicine
8
NIv2
task1434_head_qa_classification
zs_opt
[ -0.016477886587381363, 0.23910605907440186, -0.23869146406650543, -0.25009727478027344, -0.13063979148864746, 0.10435614734888077, 0.445270299911499, 0.8282609581947327, 0.19748440384864807, 0.05354306101799011, -0.27482470870018005, -0.32492783665657043, -0.5196059942245483, 0.12859456241...
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). Problem:Isimeli Tukana, a health official, said, "People need to collect as much rainwater as possible and drink as much of this as possible." Solution:
एक स्वास्थ्य अधिकारी, इसिमेली तुकाना ने कहा, "लोगों को जितना संभव हो उतना बारिश का पानी इकट्ठा करने और जितना संभव हो उतना पीने के लिए चाहिए।"
8
NIv2
task432_alt_en_hi_translation
zs_opt
[ -0.3205875754356384, 0.3871956467628479, 0.4024834632873535, -0.5956256985664368, 0.12518192827701569, -0.8629149794578552, 0.31713688373565674, -0.03493195027112961, -0.38614851236343384, -0.5003540515899658, -0.4642943739891052, 0.24584318697452545, -0.6395162343978882, -0.14634767174720...
Q: In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". Gujarati: 20 મી સદીની શરૂઆતથી લીલા વિન્ટેજ મોટરસાયકલ. English: Parents and children dressed up as Santa Claus sit on a park bench. A:
No
7
NIv2
task440_eng_guj_parallel_corpus_gu-en_classification
zs_opt
[ -1.3030420541763306, 0.2537844479084015, 0.2912951707839966, 0.17679011821746826, -0.2995314598083496, -0.6696509718894958, 0.27747195959091187, 0.7845647931098938, 0.20929798483848572, -0.2833647131919861, 0.04522433504462242, 0.6624003648757935, -0.654910683631897, 0.3457077741622925, ...
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown". -------- Question: Event:PersonX is responsible enough. Intent: 1) good job Answer: Positive Question: Event:PersonX hates every ___. Intent: 1) to score Answer: Negative Question: Event:PersonX watches PersonY's favorite tv show. Intent: Answer:
Positive
7
NIv2
task923_event2mind_classifier
fs_opt
[ -0.7046205401420593, 0.1909843385219574, 0.2934630811214447, -0.41280463337898254, -0.12429444491863251, -1.0738486051559448, 0.8986625671386719, 0.16049613058567047, 0.18333259224891663, -0.2839142382144928, 0.045775339007377625, 0.1667117476463318, -0.7482444643974304, -0.017836686223745...
Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No". [EX Q]: Japanese: デュラハンの調教師、デール・ローマンは、ニュースで「それは破壊的だ」と答えた。 Bahasa Indonesia: Dale Romas, yang merupakan pelatih Dullahan, memberikan reaksi terhadap berita tersebut, "sangat mengecewakan." [EX A]: Yes [EX Q]: Japanese: 「ここ数年の間に見たものの一つは、『抹消する』のような言葉を使うたくさんの話です」と、バラク・オバマはまた別のABCインタビューで言った。 Bahasa Indonesia: "Salah satu hal yang kami lihat selama beberapa tahun dalam banyak percakapan yang menggunakan kata 'melenyapkan', " Barack Obama mengungkapkan hal ini dalam interview terpisah di ABC. [EX A]: Yes [EX Q]: Japanese: 「私にとって、彼は自分の兄弟以上に兄弟のように感じる」とイシドロは言った。 Bahasa Indonesia: Pengenalan diri fokus pada membangun sebuah reputasi sebuah reputasi yang positif bagi negara di luar negeri dan menekankan nilai-nilai otentiknya. [EX A]:
No
6
NIv2
task1117_alt_ja_id_answer_generation
fs_opt
[ 0.13383989036083221, -0.025301862508058548, -0.10500110685825348, 0.19841325283050537, -0.1786377876996994, -0.41401731967926025, 0.984392523765564, -0.1040252149105072, 0.11958932876586914, -0.38420170545578003, -1.1107691526412964, 0.5086455345153809, -0.8552567958831787, 0.3326951563358...
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 consistency, answers should be in all lower cased letters. Q: Category: GEORGIA ON MY MIND Clue: On January 19th of this year, Georgia became the fifth Southern state to secede from the Union A: 1861 **** Q: Category: SONGS OF THE '60S Clue: Louis Armstrong's only No. 1 hit, it hit the charts for 19 weeks in 1964 A: "hello, dolly!" **** Q: Category: SCULPTURE Clue: This country's 12th century sculptor Unkei is known for his wooden statues carved for Buddhist temples A:
japan ****
4
NIv2
task305_jeopardy_answer_generation_normal
fs_opt
[ 0.1812429577112198, 0.4712570309638977, 0.06890688836574554, -0.26747268438339233, 0.021377941593527794, -0.8197755813598633, -0.23995676636695862, -0.15788087248802185, -0.19343186914920807, 0.029038207605481148, -0.4990912079811096, -0.42188766598701477, -0.724303126335144, 0.02798261865...
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. -------- Question: Animals get energy for growth and repair from (A) soil (B) food (C) water (D) air Answer: B Question: A student notices a paw print while walking in a park. The paw print could be considered a fossil if the print was in ___. (A) rock (B) topsoil (C) thick mud (D) loose sand Answer: A Question: Fertilizers can enable farmers to grow the same crop in a field for several years in a row. Farmers who use less fertilizer often rotate their crops by planting the crop one year and legumes, such as beans and clover, the following year. Fertilizer use and crop rotation with legumes both increase the availability of which of the following nutrients in soil? (A) calcium (B) nitrogen (C) oxygen (D) protein Answer:
B
7
NIv2
task228_arc_answer_generation_easy
fs_opt
[ -0.27739718556404114, 0.47929131984710693, -0.8997151255607605, -0.13994641602039337, -0.7923544645309448, -1.0380034446716309, 1.2030006647109985, 1.1356337070465088, -0.3554641604423523, -0.3394124507904053, -0.6914665699005127, 0.3416293263435364, -0.6147096157073975, 0.1467529237270355...
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 consistency, answers should be in all lower cased letters. Ex Input: Category: ON THE COVER OF ROLLING STONE Clue: "Nothing Compares" to this singer seen on covers in 1990 & '91, & with even less hair in '92 Ex Output: sinead o\'connor Ex Input: Category: STAGE NAMES Clue: Riley is the first name of this guitarist whose stage initials stand for "Blues Boy" Ex Output: b.b. king Ex Input: Category: HISTORY TEST Clue: In 1848 this U.S.-Mexico peace treaty was signed not far from the Basilica of the Virgin of Guadalupe Ex Output:
treaty of guadalupe hidalgo
1
NIv2
task305_jeopardy_answer_generation_normal
fs_opt
[ -0.5006346106529236, 1.1322956085205078, -0.4826081097126007, 0.17074309289455414, -0.5287491679191589, 0.17297133803367615, 0.712263822555542, 0.5800208449363708, 0.35779955983161926, 0.26340800523757935, 0.6235827207565308, 0.04302919656038284, -0.00897910725325346, 0.1422400176525116, ...
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation. Comment: I can't stop thinking about money and old man with money. Lol
Non-toxic
0
NIv2
task327_jigsaw_classification_toxic
zs_opt
[ -0.6756908893585205, 0.6867579817771912, 0.9374058842658997, -0.058546192944049835, -0.41151493787765503, -0.459201455116272, 0.983637809753418, 0.38539326190948486, 0.5714640617370605, 0.10840572416782379, -0.1772003322839737, 0.051976278424263, -0.918563723564148, -0.7228913903236389, ...
In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations. Example input: 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 Answer: C Example output: Yes 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. Q: Context: Kendall is an accomplished dog trainer in the neighborhood. Question: How would Alex feel as a result? Options: (A) proud of the dog (B) cheated (C) dissatisfied Answer: A A:
Yes
3
NIv2
task579_socialiqa_classification
fs_opt
[ -0.14640924334526062, 0.36640992760658264, 0.35787639021873474, 0.41244328022003174, -0.1344316601753235, -0.6016077995300293, 0.5024662017822266, 0.6641149520874023, 0.10650339722633362, 0.1831659972667694, -0.13119255006313324, 0.0928528755903244, -0.13014554977416992, -0.248031601309776...