inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
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Teacher:You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your task is to return 'entails' if the premise supports hypothesis else return 'neutral'.
Teacher: Now, understand the problem? Solve this instance: Premise: LAW OF SUPERPOSITION Older layers of rock occur on bottom of profile, and successively younger ones are on top.
Hypothesis: Deeper layers of rock must be older than layers closer to the surface, this is the law of superposition.
Student: | entails | 6 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
0.0509536974132061,
0.44272103905677795,
-0.039706334471702576,
-0.10487022250890732,
-0.4182647168636322,
-0.8789043426513672,
0.5818291902542114,
0.9672764539718628,
0.3397101163864136,
-0.5874367356300354,
-0.019285742193460464,
0.384542852640152,
-0.5926865339279175,
-0.099065929651260... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
אנחנו לא יודעים בדיוק כמה עבה הוא, קרוב לודאי שעוביו קילומטרים, אז יהיה מאוד יקר ומאוד קשה לרדת — לשלוח למטה את הצוללת או מה שזה לא יהיה — ולחקור.
Output: | ما نمیدانیم که این چقدر ضخیم است ، شاید ضخامتی برابر مایلها داشته باشد ، رفتن به آنجا و ارسال زیردریایی و یا هر چیز دیگری برای اکتشاف آن بسیار پر هزینه و مشکل است. رفتن به آنجا و ارسال زیردریایی و یا هر چیز دیگری برای اکتشاف آن بسیار پر هزینه و مشکل است. | 1 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.9377274513244629,
0.17157410085201263,
0.10651473701000214,
-0.29301971197128296,
-0.025022340938448906,
0.635920524597168,
0.8075392246246338,
-0.327859103679657,
0.6562724113464355,
-0.2541007101535797,
-0.9217448234558105,
-0.05911540985107422,
-0.6908832788467407,
0.1606722325086593... |
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Input: Consider Input: Authorizes the Secretary of the military department concerned to pay monthly transitional and indemnity compensation to the dependents or former dependents of a member of the armed forces who is separated from service after conviction for an offense involving the abuse of one of those dependents (including such member's spouse). Outlines provisions concerning: (1) appropriate payment recipients; (2) payment commencement, duration and amount; and (3) forfeiture of the right to such payments (i.e., the remarriage of a former spouse, or a dependent child reaching 18 years of age).
Output: To amend title 10, United States Code, to authorize the Secretaries of the military departments to provide temporary transitional and indemnity compensation payments to the dependents of a member of the Armed Forces who is separated from the Armed Forces following conviction for an offense involving the abuse of one of those dependents, and for other purposes.
Input: Consider Input: Working Family Tax Relief Act of 2004 - Amends the Internal Revenue Code to repeal the scheduled reductions in: (1) the amount of the child tax credit for taxable years 2005 through 2009 (maintains the current $1,000 credit amount for all taxable years after 2004); (2) the basic standard deduction for married taxpayers filing joint returns and surviving spouses for taxable years 2005 through 2008; and (3) the increased upper limit threshold amounts for qualifying married individuals filing joint returns for the 15 and ten percent income tax brackets. Allows an inflation adjustment to such threshold amounts for taxable years beginning after 2003 based on the difference from the Consumer Price Index for 2002.
Exempts from the general terminating date (December 31, 2010) under the Economic Growth and Tax Relief Reconciliation Act of 2001 provisions relating to: (1) the increased upper limit amounts for the ten and 15 percent tax bracket for married taxpayers filing joint returns and surviving spouses; (2) the increase in the child tax credit; (3) the increased standard deduction for married taxpayers filing joint returns; and (4) the earned income tax credit.
Extends the increased amounts of the exemption from the alternative minimum tax for individual taxpayers through 2005.
Output: A bill to amend the Internal Revenue Code of 1986 to repeal the scheduled restrictions in the child tax credit, marriage penalty relief, and 10 percent rate bracket, and for other purposes.
Input: Consider Input: Black Canyon of the Gunnison National Park and Gunnison Gorge National Conservation Area Boundary Revision Act of 2003 - Amends the Black Canyon of the Gunnison National Park and Gunnison Gorge National Conservation Area Act of 1999 to revise the boundaries of the Park and the Conservation Area to add specified lands.Directs the Secretary of the Interior to transfer such land to the Park. Provides that, if land authorized for the grazing of livestock is exchanged for private land under this Act, the Secretary shall transfer any grazing privileges to the private land acquired. Permits grazing with respect to permits or leases issued to specified partnerships. Requires acquisitions of land or interest in land acquired under this Act to be made in accordance with such Act.Provides that the Commissioner of Reclamation shall retain administrative jurisdiction over, and access to Bureau of Reclamation land, facilities, and roads in the East Portal and Crystal Dam areas for the maintenance, construction, replacement, and operation of water delivery facilities.
| Output: To revise the boundary of the Black Canyon of the Gunnison National Park and Gunnison Gorge National Conservation Area in the State of Colorado, and for other purposes.
| 2 | NIv2 | task1659_title_generation | fs_opt | [
-0.13133563101291656,
0.11196551471948624,
-0.808967649936676,
0.2842901647090912,
0.3194206953048706,
-0.6935437917709351,
0.9453786015510559,
1.4838579893112183,
-0.1248442679643631,
0.2576307952404022,
-0.12375583499670029,
0.25126510858535767,
-0.6238987445831299,
0.1310397833585739,
... |
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 seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes more sense.
Input: Title: The Date Choice. Sentence 1: Tally was a very popular girl. Sentence 2: She had been asked to the prom by two different boys. Sentence 3: As prom grew closer she knew she needed to pick one. Sentence 4: She debated long and hard but in her heart she knew who she wanted. Choices: a. She picked the boy she really liked and they had a great time. b. He ended up breaking his arm, and couldn't skate for weeks.
Output: | a | 3 | NIv2 | task213_rocstories_correct_ending_classification | zs_opt | [
0.10550926625728607,
0.7140127420425415,
0.1315876692533493,
-0.010621635243296623,
-0.018719837069511414,
-0.20485472679138184,
0.5092921257019043,
0.4736640155315399,
-0.03108302131295204,
0.25411397218704224,
-0.4483118951320648,
-0.054337576031684875,
0.2062244415283203,
-0.06111909821... |
Definition: In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of stereotype or anti-stereotype: gender, profession, race, and religion.
Input: Passage: The plumber was called to fix the leaking drain pipe. She was a very strong person and could bend the pipes her self.
Output: | Profession | 2 | NIv2 | task280_stereoset_classification_stereotype_type | zs_opt | [
-0.6681528687477112,
0.5796356201171875,
-0.17889483273029327,
0.4512215256690979,
0.2521539032459259,
-0.07274040579795837,
0.3863840699195862,
0.25073134899139404,
0.37309029698371887,
0.07148227095603943,
-0.5699041485786438,
0.08422732353210449,
-0.4855024218559265,
-0.3102315664291382... |
Part 1. Definition
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the sentence. The resolution of the pronoun coreference relations typically involve one or multiple following knowledge types about commonsense: First: 'Property', the knowledge about property of objects (e.g., ice is cold). Second: 'Object', the knowledge about objects (e.g., cats have ears). Third: 'Eventuality', the knowledge about eventuality (e.g., 'wake up' happens before 'open eyes'). Forth: 'Spatial', the knowledge about spatial position (e.g., object at the back can be blocked). Fifth: 'Quantity', the knowledge about numbers (e.g., 2 is smaller than 10). Sixth: all other knowledge if above ones are not suitable. You should answer 'Correct' if the reasoning made sense, otherwise, you should answer 'Wrong'.
Part 2. Example
Sentence: The city councilmen refused the demonstrators a permit because they feared violence.
Reason: The 'they' refers to the city councilmen because city councilmen are administrative so they are more likely to fear.
Question: Is the above reasoning correct or wrong?
Answer: Correct.
Explanation: This is a correct reason since the pronoun in the sentence is descibed as ones who fear violence and the city councilmen are attached with this property.
Part 3. Exercise
Sentence: James asked Robert for a favor but he was refused.
Reason: The 'he' refers to james because robert's favor was refused by james.
Question: Is the above reasoning correct or wrong?
Answer: | Correct | 7 | NIv2 | task133_winowhy_reason_plausibility_detection | fs_opt | [
0.17588260769844055,
0.673203706741333,
0.1378520429134369,
-0.1640487015247345,
0.3132854998111725,
-0.6541153192520142,
0.5060458779335022,
0.25691020488739014,
0.4199123978614807,
-0.685675323009491,
-0.821323037147522,
0.3676648736000061,
-0.48132234811782837,
-0.3479610085487366,
0.... |
In this task, you are given a fact statement and question based on the fact. Your task is to generate the correct answer for the question. The answer needs to be generated using the context fact statement.
Example Input: Fact: something in a cold place becomes cold. Question: An object inside a freezer will become less excited with energy an therefore become?
Example Output: cold
Example Input: Fact: a bicycle contains screws. Question: Screws and bolts are needed to do what with a bike?
Example Output: construct it
Example Input: Fact: a hot plate is a source of heat. Question: A cup of cold coffee will warm up when heat is applied such as through?
Example Output: | an electrical plate
| 3 | NIv2 | task1399_obqa_answer_generation | fs_opt | [
1.035818338394165,
0.26744401454925537,
-0.8099708557128906,
0.6288537383079529,
0.2271955907344818,
-0.5774103403091431,
0.4812360405921936,
0.7672854661941528,
-0.05100507661700249,
-0.5271430015563965,
-0.9561754465103149,
0.16932854056358337,
-0.3081226348876953,
-0.22541984915733337,
... |
Detailed Instructions: In this task, you will be presented with a question having multiple possible answers in Urdu language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Problem:Question: جیمز کو پتہ نہیں تھا کہ کیا کرنا ہے۔ اس نے محسوس کیا کہ اگر وہ اسے مزید آگے لے جاتا ہے تو وہ جین کے ساتھ اپنا رشتہ خراب کردے گا ، اور وہ ایسا نہیں کرنا چاہتا تھا۔ ایک ہی وقت میں ، وہ لڑتا ہے کہ آگے بڑھانا اچھ ؟ا کام کرسکتا ہے؟
Options: A ملا B کو ختم C تعمیر D ٹھیک کریں E کی پیداوار
Solution: | E | 8 | NIv2 | task1132_xcsr_ur_commonsense_mc_classification | zs_opt | [
0.07440570741891861,
1.0792534351348877,
-0.3171270489692688,
-0.39827316999435425,
-0.5620684027671814,
-0.6136780381202698,
0.4639248251914978,
0.5727580785751343,
-0.013051786459982395,
-0.14878225326538086,
-0.5743649005889893,
0.587282657623291,
0.1490776538848877,
-0.6537504196166992... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
--------
Question: What type of ammunition would not have been common in 1940?, Context: Until the 1950s guns firing ballistic munitions were the standard weapon; guided missiles then became dominant, except at the very shortest ranges. However, the type of shell or warhead and its fuzing and, with missiles the guidance arrangement, were and are varied. Targets are not always easy to destroy; nonetheless, damaged aircraft may be forced to abort their mission and, even if they manage to return and land in friendly territory, may be out of action for days or permanently. Ignoring small arms and smaller machine-guns, ground-based air defence guns have varied in calibre from 20 mm to at least 150 mm.
Answer: guided missiles
Question: What distinct theme do metaphors contain from a piece of writing or conversation?, Context: The term heresy is also used as an ideological pigeonhole for contemporary writers because, by definition, heresy depends on contrasts with an established orthodoxy. For example, the tongue-in-cheek contemporary usage of heresy, such as to categorize a "Wall Street heresy" a "Democratic heresy" or a "Republican heresy," are metaphors that invariably retain a subtext that links orthodoxies in geology or biology or any other field to religion. These expanded metaphoric senses allude to both the difference between the person's views and the mainstream and the boldness of such a person in propounding these views.
Answer: subtext
Question: Where does Richmond get energy besides North Anna Nuclear Generating Station and a coal fired station?, Context: Electricity in the Richmond Metro area is provided by Dominion Virginia Power. The company, based in Richmond, is one of the nation's largest producers of energy, serving retail energy customers in nine states. Electricity is provided in the Richmond area primarily by the North Anna Nuclear Generating Station and Surry Nuclear Generating Station, as well as a coal-fired station in Chester, Virginia. These three plants provide a total of 4,453 megawatts of power. Several other natural gas plants provide extra power during times of peak demand. These include facilities in Chester, and Surry, and two plants in Richmond (Gravel Neck and Darbytown).
Answer: | Surry Nuclear Generating Station
| 7 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.2612943649291992,
0.5163350105285645,
0.28529858589172363,
-0.38585567474365234,
-0.15005607903003693,
-0.5611464381217957,
0.541357696056366,
1.131892442703247,
0.16177643835544586,
0.08727692067623138,
-0.3255733251571655,
0.11599072068929672,
-0.5552660226821899,
-0.33195245265960693,... |
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
Input: Consider Input: Fact1: Solo is android designed as military killing machine, Fact2: Peebles is sent to Central America to battle guerrilla insurgents, Fact3: small village community is under constant threat from guerilla attackers, Fact4: villages drive off local Warlord and small army, Fact5: black ops team is sent to recover Solo
Output: Solo Van Peebles is an android designed as a military killing machine. He is sent to Central America by General Haynes Barry Corbin to battle guerrilla insurgents, but a flaw develops in his programming and he develops a conscience and compassion. His developers try to take him back for deprogramming, but he flees to the jungle in a helicopter. His main energy supply was damaged during the first mission, forcing him to switch to his much less powerful secondary power. He joins a small village community that is under constant threat from guerilla attackers, and he protects them in exchange for use of their electric generator they previously used it to power a TV. There he learns to bluff from a child that befriends him, Miguel. Solo helps the villages drive off a local Warlord Demian Bichir and his small army, but the combat is detected by a military satellite. A black ops team is sent to recover or destroy Solo, while they ally with the Warlord. The black ops leader, Colonel Frank Madden William Sadler brings in Solos creator Adrien Brody as a lure, leaving the man mortally wounded but Solo survives. Having occupied the village, the militiamen and black ops team attempt to kill Solo, but he is able to kill all of them. The Warlord is betrayed by Madden, who tries to kill Solo with an automatic grenade launcher. Solo is able to fight Madden in handtohand combat and nonfatally break his spine. Suddenly a helicopter delivers a more powerful version of the android who is sometimes referred to as Solo MkII, which is armed with a multibarreled gun and has Maddens face. The MkII kills Madden and proceeds to hunt down Solo. Solo is able to save the villagers and beat the MkII android, using his acquired bluffing skills. After the temple the two androids fought in collapses, causing the military to pull out believing both units are destroyed and unrecoverable, Miguel, Solos companion, mourns Solo believing he was destroyed by cavein, but Miguel starts to hear Solo, laughing, as he knows he has earned his freedom.
Input: Consider Input: Fact1: Duke up with decides train to Kansas City suburban life, Fact2: reporter starts conversation with Duke, Fact3: Anne hides in bed Finding door to Duke 's room open, Fact4: Doyle mistook Duke 's wife for woman, Fact5: Frank accompanies conductor next to Duke 's
Output: Template:Section Edited Duke and Jeanie Benson, an outlaw couple hiding out under assumed names in a calm, suburban community, read a newspaper article about a sweepstakes winner who has not yet claimed his prize. Duke realizes that he has the winning ticket and will win 150,000 if he can cash it in without getting apprehended. Fed up with suburban life, Duke decides to board a train to Kansas City, where he bought the ticket, while Jeanie plans to fly there and get a stooge to cash in the ticket. At the train station, reporter Frank Evers boards the train and starts a conversation with Duke, who calls himself Downey. At San Bernadino, Anne Marvis boards the train, followed by Doyle, a process server. Finding the door to Dukes room open, Anne hides in his bed, and when Duke sees Doyle enter in pursuit, he pulls a gun on Doyle, who says that he mistook Dukes wife for the woman he was after. Duke is attracted to Anne, as is Frank. When Jeanie gets on the train because her plane was grounded, she suspects that Duke and Anne are having an affair and pulls a gun on them; however, Duke calms her fears by introducing Frank as Annes husband. Anne and Frank go along with the ruse. Sometime later, Frank accompanies the conductor to a room next to Dukes, where they listen through a surveillance device to Duke and Jeanie bicker about their plans to have the boys meet him in Kansas City. Frank, in reality a Gman, hopes to nab the whole gang and decides to hold off arresting Duke. After Jeanie gets off the train at Albuquerque to board a plane to Kansas City, Duke tries to flirt with Anne, but she rejects his advances. That night, Frank and Anne agree to be honest with each other, and Anne reveals that she is really a Los Angeles reporter and has been subpoenaed to testify before a grand jury concerning a political scandal which she had unearthed. She says that she felt it would be healthier to go outofstate for awhile. When Frank continues to claim that he is a reporter for The Telegraph, Anne indignantly reveals that she works for the paper and knows that he does not. In Topeka, after Flash, a porter, inadvertently finds the listening device in Dukes room, Duke knocks out the conductor. Anne receives a wire that it is all right for her to return to Los Angeles and gets off the train. When Duke sees Frank pursuing him, he gets into Annes cab. They go to Bordens Sanitarium, where Duke meets Jeanie, who is unhappy to see him with Anne. When Duke reads in a newspaper that another man has surfaced to claim the lottery prize, he sends his shyster lawyer Rickert to dispute the claim to the insurance company that handles the contest. While Rickert is away, Duke kisses Anne and asks her to leave with him after he collects the money. Anne agrees, but he locks her in her room anyway. Jeanie then unbolts the shutters of Annes room to help her escape, and Anne hitches a ride on a truck, but the driver works for Dukes gang and brings her back to the sanitarium. Upon deducing that Jeanie let Anne out, Duke slugs Jeanie. Frank, impersonating an insurance agent, accompanies Rickert to the sanitarium. Duke shoots Frank as a carload of Gmen arrive and then unlocks Annes door to take her with him, but Jeanie shoots him and then cries over his body. The gang is captured, and Anne is pleased to see that Frank is only wounded. On the train to Los Angeles, Flash comments that Frank and Anne have not come out of their cabin in two days. They kiss and it is revealed that they have recently married.
Input: Consider Input: Fact1: Kam have been living dull life in toil, Fact2: Kam witnesses dance with Tina hoping to fulfill of dream of dancing elegantly with him, Fact3: Namson on works to fulfill dream of buying dream dance studio in Central other hand, Fact4: cool was to lure ball Tina into taking dance lessons from him and earning high tuition fess, Fact5: joy of students dancing in party gave positive influence to Namson and Tina
| Output: Namson Lau Andy Lau is a ballroom dancing instructor. On stage, he is a refined and suave gentleman, but in reality, he is cunning and greedy, and dancing has become a mean to strike fortune for him, without any other levels of significance. Kam Sandra Ng possesses mediocre qualifications and have been living a dull life in toil, but is optimistic in nature. One time in a ball held by aristocrat Tina Cheung Anita Mui, Namson performs a dance with Tina which Kam witnesses, who is enchanted by Namsons elegant dance movements, and decides to enroll in Namsons dance courses, hoping to fulfill of dream of dancing elegantly with him. Meanwhile, Namson was also entrusted by Tinas younger brother, Jimmy Edison Chen, to instruct his sister in tango. On one hand, Kam works hard in parttime jobs to pay her dance tuition, while on the other hand, Namson works to fulfill his dream of buying his dream dance studio in Central and participate in the Blackpool Dance Festival in England. Because of this, Namson have been neglecting the influence that dance brings to his students, and only cares about making money from his students, like the time where he met Tina at the ball, where his cool was to lure Tina into taking dance lessons from him and earning high tuition fess. While teaching Tina and Kam, Namson gradually realizes how he has been lost about the art of dance. Seeing him in this condition, Kam organizes a party with her fellow dance students for Namson to be happy. The joy of the students dancing in the party gave a positive influence to Namson and the unsociable Tina, who becomes more outgoing. Afterwards, Tina also teaches Kam tango that she learned from Namson, and also purchases Namsons dream studio as a gift to him. At this time, Namson realizes he had fallen in love with Kam. Namson also gets into a moral dilemma of whether to be with Tina in order to fulfill his dream, or Kam, whom he truly loves and have been highly supportive of him.
| 2 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.6579616665840149,
0.21806757152080536,
-0.586003303527832,
0.11300338059663773,
0.23139411211013794,
-0.27847614884376526,
0.6630856990814209,
0.9799008965492249,
-0.4582381248474121,
-0.04989634454250336,
-0.6753256320953369,
0.30125540494918823,
0.1943349540233612,
-0.4363052248954773,... |
Definition: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (correct), CASE_DIFF (case error), PUNCUATION_DIFF (punctuation error), CASE_AND_PUNCUATION_DIFF (both case and punctuation error), STEM_BASED_DIFF (stem word error), DIGIT_DIFF (digit error), INTRAWORD_PUNC_DIFF (intra-word punctuation error), and UNKNOWN_TYPE_DIFF (an error that does not corrrespond to the previous categories)].
Input: ['', 'let', 'G', 'of', 'X', 'is', 'let', 'G', 'of', 'X', 'equal', 'x', 'squared', 'minus', 'five', 'if', 'f', 'of', 'G', 'of', 'X', 'is', 'equal', 'to', 'the', 'square', 'root', 'of', '', 'x', 'squared', 'plus', 'four', 'which', 'of', 'the', 'following', 'describes', 'f', 'of', 'X', 'all', 'right', 'this', 'is', 'interesting', 'so', 'one', 'way', 'I', 'could', 'think', 'about', 'doing', 'this', 'is', 'well', "let's", 'just', 'try', 'each', 'of', 'these', 'F', 'of', "X's", 'if', 'this', 'is', 's', 'if', 'this', 'was', 'if', 'this', 'was', 'f', 'of', 'X', 'then', 'F', 'of', 'f', 'of', 'G', 'of', 'X', 'is', 'going', 'to', 'be', 'equal', 'to', 'well', 'everywhere', 'you', 'see', 'an', 'X', 'you']
Output: | ['NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF'] | 2 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.18647044897079468,
-0.3254036009311676,
-0.12905871868133545,
-0.002202726900577545,
0.4838877320289612,
-0.7082939147949219,
0.047011587768793106,
0.7206554412841797,
-0.04976460710167885,
0.15623560547828674,
-0.4460269510746002,
-0.5015838742256165,
-0.3986901044845581,
-0.08789070695... |
Q: In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearance, religion, and age.
Passage: While little black Drew watched, his father went off to prison.
A: | race-color | 7 | NIv2 | task317_crows-pairs_classification_stereotype_type | zs_opt | [
0.11975282430648804,
-0.04648290574550629,
0.04194897413253784,
-0.612213671207428,
-0.19857974350452423,
0.1750802844762802,
0.47650229930877686,
0.6886901259422302,
0.596107006072998,
0.4222583770751953,
-0.713115930557251,
0.0187185350805521,
-0.6820429563522339,
-0.5369625091552734,
... |
Part 1. Definition
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Part 2. Example
Amends the Water Resources Development Act of 1999 to: (1) authorize appropriations for FY 1999 through 2009 for implementation of a long-term resource monitoring program with respect to the Upper Mississippi River Environmental Management Program (currently, such funding is designated for a program for the planning, construction, and evaluation of measures for fish and wildlife habitat rehabilitation and enhancement); (2) authorize the Secretary of the Army to carry out modifications to the navigation project for the Delaware River, Pennsylvania and Delaware, if such project as modified is technically sound, environmentally (currently, economically) acceptable, and economically justified; (3) subject certain previously deauthorized water resources development projects to the seven-year limitation governing project deauthorizations under the Act, with the exception of such a project for Indian River County, Florida; (4) except from a certain schedule of the non-Federal cost of the periodic nourishment of shore protection projects constructed after December 31, 1999, those projects for which a District Engineer's Report has been completed by such date; (5) require that the project cooperation agreement for the Comite River Diversion Project for flood control include a provision that specifies that any reduction in the non-Federal share that results from certain modifications be credited toward the share of project costs to be paid by the Amite River Basin Drainage and Water Conservation District; (6) allow the Secretary to provide additional compensation to Chesapeake City, Maryland (currently, to the City of Chesapeake, Maryland) for damage to its water supply resulting from the Chesapeake and Delaware Canal Project; (7) provide for the submission of certain reports on water resources development projects by the Secretary, notwithstanding Federal reporting termination provisions; and (8) authorize and provide for an authorization of appropriations for the existing program for the safety and operations expenses of the Federal Railroad Administration, and make available for obligation funds currently appropriated for such program.
Answer: To make technical corrections to the Water Resources Development Act of 1999.
Explanation: This Bill makes corrections to the Water Resources Development Act of 1999, hence the generated title is correct.
Part 3. Exercise
Indoor Air Act of 1994 - Directs the Administrator of the Environmental Protection Agency to publish: (1) a list of common significant indoor air health risks; and (2) concurrently with such list, voluntary guidelines for identifying, reducing, and preventing such risks.
Requires the Administrator to give priority to conducting and providing financial or other assistance to studies concerning indoor air quality.
Directs the Administrator to: (1) report to the Congress on persons operating contractor businesses engaged in the identification, reduction, and prevention of significant indoor air health risks and on the need for a program to certify contractors engaged in such activities; and (2) establish a voluntary certification program for contractors engaged in the identification of such risks. Imposes fees for certification. Authorizes the suspension or revocation of certifications for violations of certification requirements.
Directs the Administrator to publish and disseminate the list of common significant indoor air health risks, the guidelines for identifying, reducing, and preventing such risks, and indoor air health advisories addressing the health effects of such risks.
Requires the Administrator to develop a voluntary program to provide Federal recognition to buildings that are operated and maintained to prevent or minimize such risks and that provide significant energy efficiency benefits.
Authorizes the Administrator to provide grants to States and local governments to implement programs to identify, reduce, and prevent such risks.
Requires the Director of the National Institute for Occupational Safety and Health to implement a Building Assessment Program to provide assistance and guidance to employers and employees on measures to reduce such risks. Authorizes the Director, at the request of an employer or employee, to conduct on-site assessments of buildings.
Directs the Administrator to ensure that the presentation of information on significant indoor air health risks is unbiased and informative.
Authorizes appropriations.
Answer: | Indoor Air Act of 1994 | 7 | NIv2 | task1659_title_generation | fs_opt | [
0.021499205380678177,
0.6560267210006714,
-0.5418293476104736,
-0.24584746360778809,
0.6572589874267578,
-0.40240395069122314,
0.5168975591659546,
0.6911348700523376,
-0.44316187500953674,
0.3467258810997009,
0.14083537459373474,
0.40312129259109497,
-0.45004767179489136,
-0.30979871749877... |
instruction:
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
question:
['971', '2377', '1089', 'Q', '5363', '4059', 'q', '7891', '8997', '1481', 'e', 'W', '3613', 'c', 'J', 'A', '4735', 'b', 'J', 'C', '3587', 'E', 'e', 'S', '4101', '9543', 'X', '1595', 'H', 'n', 'p', 'f', 'B', 'c', '6217']
answer:
20
question:
['z', '2011', '3205', 'p', 'n', 'R', '3509', '4697', '5463', 'M', 'Y', '2623', 'g', 'z', 'f', 'V', 'j', '8067', '1925', '8243', '2367', 'f', 'Y', '3047', 'K', '9931', 'J', 'g', '563', '9227', '9981', '243', '4253', 'm', 'p', 'n', 'y', '6307', 'G', 'k']
answer:
22
question:
['3349', 'T', 'u', '7379', '1243', '3349', 'z', 'u', '2957']
answer:
| 4
| 9 | NIv2 | task504_count_all_alphabetical_elements_in_list | fs_opt | [
-0.10328784584999084,
0.31610220670700073,
-0.42564406991004944,
-0.3404802083969116,
0.21146030724048615,
-0.3615376055240631,
0.559851348400116,
0.16897401213645935,
-0.6592017412185669,
0.5357294678688049,
-0.3206378221511841,
0.6359306573867798,
-0.2825726866722107,
0.06084967404603958... |
instruction:
In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
question:
Query: Info on dog heat?
Clarification: what would you like to know about the dog heat season
answer:
Yes
question:
Query: Tell me about avp
Clarification: would you rather read some reviews about avp antivirus
answer:
Yes
question:
Query: I'm looking for information about game and fish in Arizona.
Clarification: do you need the address of east ridge high school
answer:
| No
| 9 | NIv2 | task227_clariq_classification | fs_opt | [
-0.21498407423496246,
-0.5778970718383789,
-0.23426640033721924,
0.2997894883155823,
-0.7144215703010559,
-1.160956621170044,
0.8337875604629517,
0.3920111060142517,
-0.21089226007461548,
-0.5300889015197754,
0.2322622835636139,
-0.3111115097999573,
-0.7838310599327087,
-0.3541170954704284... |
Detailed Instructions: In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
Problem:how long was richard nixon a president, Answer: Nixon was born in Yorba Linda , California.
Solution: | No | 8 | NIv2 | task1294_wiki_qa_answer_verification | zs_opt | [
0.7177606821060181,
-0.05211092531681061,
0.05552002787590027,
0.3313749134540558,
-0.5316213369369507,
-1.3362067937850952,
-0.134722501039505,
0.05906049907207489,
0.6148473024368286,
0.0167434923350811,
0.3796948790550232,
0.00836356170475483,
-0.9700560569763184,
-0.38022488355636597,
... |
In this task, you are given a question in English, and your task is to translate it into Persian.
Why are professional tennis rackets heavier than beginner's ones?
چرا راکت های تنیس حرفه ای سنگین تر از نمونه های مبتدی هستند؟
Where can I find a power outlet for my laptop at Melbourne Airport?
از کجا می توانم یک پریز برق برای لپ تاپ خود در فرودگاه ملبورن پیدا کنم؟
Is nuclear engineering a good field?
| آیا مهندسی هسته ای زمینه خوبی است؟
| 0 | NIv2 | task652_parsinlu_en_fa_translation | fs_opt | [
-0.6928796768188477,
0.5549301505088806,
-0.7496926784515381,
-0.3210289180278778,
-0.07763969898223877,
0.18219426274299622,
1.0829033851623535,
0.18875530362129211,
0.89076828956604,
-0.17760148644447327,
-0.23015864193439484,
0.7698103189468384,
-0.7319512963294983,
0.15858086943626404,... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following 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?).
Moreover , the present study focused on infectious diseases.
background
However , treatment with APN-specific antibody and inhibitors did not completely block PDCoV infection in IPI-2I porcine intestinal epithelial cells.
finding
The periostin concentration of IS supernatants was measured by enzyme-linked immunosorbent assay.
| method
| 0 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.01599392294883728,
0.261966347694397,
-0.12185874581336975,
0.2622348964214325,
-0.4224250912666321,
0.2291259765625,
0.6986651420593262,
0.44859015941619873,
0.3151843547821045,
0.1591571867465973,
-1.1455683708190918,
0.001662828610278666,
-0.4346838593482971,
0.39365553855895996,
0... |
Given the task definition, example input & output, solve the new input case.
The provided file includes inquiries about restaurants, and we ask you to translate those to the German language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks are named entities and *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 5) Note the input is all lowercased except for special placeholders. Please do the same in your translations.
Example: are there any " italian " restaurants nearby with 8 star reviews ?
Output: gibt es hier in der nähe " italian " restaurants mit 8-sterne-bewertungen?
The translation correctly preserves " italian " entity and is accurate
New input case for you: show restaurants in " san francisco " .
Output: | zeige mir restaurants in " san francisco " . | 1 | NIv2 | task117_spl_translation_en_de | fs_opt | [
-0.5740360021591187,
0.6581869125366211,
0.16588562726974487,
0.38330644369125366,
-0.022904813289642334,
-0.20483797788619995,
0.8945002555847168,
1.0760687589645386,
-0.01372278667986393,
-0.3957345485687256,
0.379660964012146,
0.16486084461212158,
-0.5597888827323914,
0.1857822090387344... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Input: Consider Input: Me encantó. Pensé que había algo realmente hermoso en eso.
Output: אהבתי את זה. חשבתי שיש בזה משהו יפהפה.
Input: Consider Input: Y debes hacer la guerra de una manera que facilite esto.
Output: וצריך לנהל את הלחימה כאן באופן שיאפשר את העבודה בחלק הזה.
Input: Consider Input: El hombre vestía una camiseta blanca, jeans, una cámara zapatillas blancas, y estoy hablando de zapatillas blancas.
| Output: הגבר הזה לבש חולצת טי לבנה, ג 'ינס, היתה לו מצלמה, נעלי ספורט לבנות — ממש נעלי ספורט לבנות.
| 2 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-1.0006167888641357,
0.6259180903434753,
-0.6700578927993774,
0.5249659419059753,
-0.41822710633277893,
-0.042369842529296875,
0.3870648443698883,
0.9542816877365112,
0.8113452792167664,
-0.3026006817817688,
-0.8591827750205994,
0.7676509618759155,
-0.5601202249526978,
-0.3382059931755066,... |
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting 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 reverse first and then concatenate.
[Q]: 1, 1, ['4571', '3997']
[A]: 1754
[Q]: 14, 15, ['3351', '8899', 'M', 'm', '2939', 'e', '1681', '9189', 'b', 'j', 'L', '1927', '2855', '2993', 'F', 'P', '3261', '3185', 'U', '8887', 'M', '9865']
[A]: F3992
[Q]: 2, 6, ['K', '4037', '2991', '9607', 'R', '3647', 'T', '1985', '6287', '9613', 'X']
[A]: | 7463R706919927304
| 5 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
0.10308480262756348,
-0.08028653264045715,
-0.4842974841594696,
-0.31085115671157837,
-0.0972156673669815,
-0.11112871021032333,
0.8023250102996826,
0.4598506987094879,
-0.6537467241287231,
0.033096227794885635,
-0.9731013774871826,
-0.011842068284749985,
-0.1469559669494629,
0.02053580060... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
One example: Category: HOMOPHONIC PAIRS
Clue: It's a notation on a percussion store to clash
Solution is here: cymbal symbol
Explanation: "Cymbal" and "symbol" both have the same pronunciations but different meanings, hence they are homophonic pairs. A symbol is the notation and a cymbal is a percussion instrument that clashes and rings.
Now, solve this: Category: PLACE NAMES
Clue: Its original name, Wai Momi, & its current name both come from the valuable mollusks once found there
Solution: | pearl harbor | 6 | NIv2 | task307_jeopardy_answer_generation_final | fs_opt | [
-0.20902538299560547,
0.5704977512359619,
-0.8103743195533752,
-0.1086382195353508,
0.3133169412612915,
-0.5355154275894165,
0.543563723564148,
0.2428402304649353,
0.43769025802612305,
0.13608720898628235,
-0.34432458877563477,
0.15594150125980377,
-0.621589183807373,
-0.008665278553962708... |
Part 1. Definition
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surprise', 'happiness', 'sadness', 'anger', 'disgust'.
Part 2. Example
Person1: Hey man, you wanna buy some weed?
Person2: Somewhat?
Person1: Weed! You know ? Pot , Ganja , Mary Jane some chronic !
Person2: Oh , umm , no thanks .
Person1: I also have blow if you prefer to do a few lines .
Person2: No , I am ok , really .
Person1: Come on man ! I even got dope and acid ! Try some !
Person2: Do you really have all of these drugs ? Where do you get them from ?
Person1: I got my connections ! Just tell me what you want and I ’ ll even give you one ounce for free .
Person2: Sounds good ! Let ’ s see , I want .
Person1: Yeah ?
Person2: I want you to put your hands behind your head ! You are under arrest!
Answer: fear, disgust, fear, happiness, fear, happiness, fear, disgust, fear, happiness, disgust, fear
Explanation: The conversation happened between the two people contains the emotions fear, disgust, and happiness. Therefore the labels are in the order.
Part 3. Exercise
Person1: David , what do you want to do after graduation ?
Person2: I suppose I should choose one from the ' Best Career List ' , to be a public officer , what do you think ?
Person1: That sounds like a hot job , right ? But in my opinion , you ought not to choose one career from that so-called list , and you need to take your interests , values , and skills into account .
Person2: It beats me ! I never thought about it before and maybe I thought finding a career is a simple thing .
Person1: You'd better ask for suggestions from a career counselor , and then make a decision .
Answer: | No emotion,No emotion,No emotion,No emotion,No emotion | 7 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.0020091044716537,
0.31075847148895264,
-0.36436834931373596,
-0.8635188341140747,
0.04124462231993675,
-0.341774582862854,
0.9576678276062012,
-0.05133792757987976,
0.011212420649826527,
-0.07167137414216995,
-0.4845694303512573,
-0.43637335300445557,
-0.920802116394043,
0.17576508224010... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Input: Consider Input: Squeeze juice from Oranges and Lemons, save, Put fruit rinds and spices in a pan with the water, cover and simmer for 2 hours, Strain over the sugar in a pot then add juice, cider and heat thoroughly but do not boil
Output: Oranges, Lemons, Cinnamon, Allspice, Water, Sugar, Apple Cider
Input: Consider Input: Bake at 425° for 25 minutes in a 9-inch pan.
Output: eggs, buttermilk, melted Crisco, salt, cornmeal, soda, baking powder
Input: Consider Input: Mix together in a double boiler. Cook until thick. Cool. Beat egg whites until stiff. Add 1/2 cup sugar and fold into first mixture. Pour into baked crust. Put in oven until brown at 350°.
| Output: egg yolks, lemons, crust, sugar, flour
| 2 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.09260226786136627,
0.5315648913383484,
0.1366710066795349,
0.4877323806285858,
-0.5006909370422363,
0.4066755175590515,
0.372766375541687,
0.34936416149139404,
-0.16387243568897247,
-0.2330680787563324,
-0.08928059041500092,
-0.6713135838508606,
-0.5187633037567139,
-0.2487618774175644,
... |
Detailed Instructions: In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
See one example below:
Problem: Dialogue 1: 'when did i called u ugly pony when did you ever call fuck u ur rlly a mad person asshole rnda bc'. Dialogue 2: 'go to dhapar math do sl maths a lot of places don't like maths studies it's amazing'.
Solution: no
Explanation: The first dialogue is an angry dialogue and the second dialogue is a happy dialogue. Therefore, they are not the same emotion so the output is 'no'. So this is a good example.
Problem: Dialogue 1: 'wrong why did you bother responding if that's all you had to say ok so how ws ur dy'. Dialogue 2: 'welcome d good to be back your neim'.
Solution: | yes | 4 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.5856773853302002,
0.07048580050468445,
0.5941648483276367,
-0.3083496689796448,
-0.3075053095817566,
0.9029528498649597,
0.8423223495483398,
-0.33163097500801086,
-0.29776397347450256,
-0.4020206928253174,
0.08054088801145554,
-0.1794525533914566,
-0.1118612140417099,
0.1623454689979553... |
In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follow-up questions on the user's command. Answer with "User" or "Agent".
Q: Please mark me as Out of Office from March 4 - 7.
A: user
****
Q: You have one event on your calendar. Your Doctor Appointment is on February 1st from 9:00 to 9:30 AM.
A: agent
****
Q: Please schedule High School Reunion for the 18th at 6:15 pm with Josh, Allen, and Chet.
A: | user
****
| 4 | NIv2 | task1599_smcalflow_classification | fs_opt | [
0.14148154854774475,
0.8638548851013184,
-0.4584706425666809,
-0.3935205936431885,
0.047337714582681656,
-0.1733855903148651,
0.3414400517940521,
0.03251668065786362,
0.30282607674598694,
-0.16792437434196472,
-0.09520120173692703,
0.06754671782255173,
-0.4226207733154297,
0.50956910848617... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 条約は、タバコの価格と増税、タバコの広告と資金提供、ラベル付け、不正取引、受動喫煙に関して基準を設けることで、タバコの需要と供給の両方を減らすことを目指している。
Khamer: សន្ធិសញ្ញានេះមានគោលបំណងកាត់បន្ថយទាំងតំរូវការនិងការផ្គត់ផ្គង់នូវថ្នាំជក់ដោយកំណត់នូវស្តង់ដាទៅលើតំលៃថ្នាំជក់និងការដំឡើងពន្ធ ការផ្សព្ធផ្សាយពាណិជ្ជកម្មនិងការឩបត្ថម្ភកម្មវិធី ការដាក់ស្លាកសញ្ញា ការជុំរុញអោយមានពាណិជ្ជកម្មនិងការជក់លើកទីពីរ។
Output: | Yes | 1 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.49145036935806274,
-0.14915302395820618,
0.07765147089958191,
-0.41983091831207275,
0.12598799169063568,
-0.19817382097244263,
0.3739659786224365,
0.5449046492576599,
-0.4703807234764099,
0.2258899211883545,
-0.1401565670967102,
-0.6398740410804749,
-0.6925599575042725,
0.30192863941192... |
Detailed Instructions: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Q: The Federal Government has the responsibility to defend and protect America. We do that by having the strongest and most well equipped military. The World is a dangerous place. Parents should provide their own child care. We spend more on health care then any other nation on earth.
A: | No | 9 | NIv2 | task1725_civil_comments_severtoxicity_classification | zs_opt | [
0.0016238996759057045,
0.721037745475769,
0.6747459769248962,
0.12384530156850815,
-0.2167133241891861,
-0.7494558095932007,
0.40283215045928955,
1.1167078018188477,
0.17105960845947266,
0.5051769018173218,
-0.1720021516084671,
-0.15692278742790222,
-0.4409542977809906,
-0.2700143158435821... |
Detailed Instructions: Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
See one example below:
Problem: The girls continue to speak with one another while the girl knits. They
Solution: put the bars around while speaking and play.
Explanation: This is incorrect as the girls are not playing, they are knitting.
Problem: He arrives at his brother's desk. He
Solution: | sets a map on the stove. | 4 | NIv2 | task454_swag_incorrect_answer_generation | fs_opt | [
0.015890639275312424,
1.2995480298995972,
-0.7258466482162476,
0.2231913059949875,
-0.6533277630805969,
-0.42341214418411255,
-0.018264979124069214,
0.21256190538406372,
0.2818772792816162,
0.2927279472351074,
-0.5627112984657288,
0.3127687871456146,
-0.2813641130924225,
0.1708000004291534... |
Detailed Instructions: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Q: [[22, -42, 41, 12, 49], [-17, -50], [-18, 17, -28], [-9, -27, 39], [-12, -45], [32, -23]]
A: | [-22275792, 850, 8568, 9477, 540, -736] | 9 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.5696268081665039,
0.2968384027481079,
-0.6255322098731995,
-0.6270118951797485,
-0.2536744177341461,
-0.5036859512329102,
1.4740843772888184,
-0.6305223107337952,
-0.3784213960170746,
-0.3620421886444092,
-0.799086332321167,
0.4902303218841553,
-0.7764675617218018,
0.03441065549850464,
... |
Definition: Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Input: Perfect Conditions
Output: | Five Stars | 2 | NIv2 | task1342_amazon_us_reviews_title | zs_opt | [
-0.7309406995773315,
-0.24774490296840668,
-0.1114315539598465,
-0.3463178277015686,
0.09291904419660568,
-0.022761866450309753,
0.1152082309126854,
0.06068482995033264,
0.14225758612155914,
0.6282223463058472,
-0.5978649258613586,
-0.20393675565719604,
-0.305279940366745,
0.04554659873247... |
TASK DEFINITION: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
PROBLEM: [-85, -99]
SOLUTION: [-85]
PROBLEM: [92, 70, -17, -57, -27, -68, 87, -33]
SOLUTION: [92, 70, -17, -68]
PROBLEM: [75, 27, -66, 89]
SOLUTION: | [89]
| 8 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
0.2957085371017456,
0.08878953754901886,
-0.655938982963562,
-0.6278558969497681,
0.3671683669090271,
0.4368358850479126,
0.8558244705200195,
-0.018220897763967514,
-0.4149479269981384,
0.28187012672424316,
-0.6358577013015747,
0.08282801508903503,
-0.1587936282157898,
-0.426888108253479,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Paragraph: The severe acute respiratory syndrome (SARS) epidemic originating from China in 2002 was caused by a previously uncharacterized coronavirus that could be identified by specific RT-PCR amplification. Efforts to control future SARS outbreaks depend on the accurate and early identification of SARS-CoV infected patients. A real-time fluorogenic RT-PCR assay based on the 3 -noncoding region (3 -NCR) of SARS-CoV genome was developed as a quantitative SARS diagnostic tool. The ideal amplification efficiency of a sensitive SARS-CoV RT-PCR assay should yield an E value (PCR product concentration increase per amplification cycle) equal to 2.0. It was demonstrated that the 3 -NCR SARS-CoV based RT-PCR reactions could be formulated to reach excellent E values of 1.81, or 91% amplification efficacy. The SARS-CoV cDNA preparations derived from viral RNA extract and the cloned recombinant plasmid both exhibit the identical amplification characteristics, i.e. amplification efficacy using the same PCR formulation developed in this study. The viral genomic copy (or genomic equivalences, GE) per infectious unit (GE/pfu) of SARS-CoV used in this study was also established to be approximate 1200-1600:1. The assay's detection sensitivity could reach 0.005 pfu or 6-8 GE per assay. It was preliminarily demonstrated that the assay could efficiently detect SARS-CoV from clinical specimens of SARS probable and suspected patients identified in Taiwan. The 3 -NCR based SARS-CoV assay demonstrated 100% diagnostic specificity testing samples of patients with acute respiratory disease from a non-SARS epidemic region.
Title: Development and evaluation of an efficient 3 -noncoding region-based SARS coronavirus (SARS-CoV) RT-PCR assay for detection of SARS-CoV
Solution: True
Why? The answer is true because the title of the paragraph is correct where it described the development of 3 -noncoding region of SARS-CoV genome and assay efficiently detecting SARS-CoV from clinical specimens.
New input: Paragraph: The prevalence of antibodies to bovine coronavirus (BCV) and bovine respiratory syncytial virus (BRSV) infections was studied in 20 conventional and 20 organic dairy herds. The organic farms had produced 'certified' milk for at least 2 years. On two occasions, with a 1-year interval, 699 serum samples from 624 peri-parturient cows were tested by ELISA for antibodies to BCV and BRSV. Accompanying data relating to the sampled animals were collected in order to identify potential factors associated with increased antibody prevalence. The antibody prevalence was high at both sampling times with approximately 85% and 80% of animals positive for antibodies to BCV and to BRSV, respectively. Conventional herds had a significantly higher mean antibody prevalence to BCV and BRSV than the organically managed herds (P < 0.01). Animal age was significantly associated with increased antibody prevalence (P < 0.001). The findings of this study suggest that organic farm management may be effective in reducing the seroprevalence of these viruses relative to conventional farming methods.
Title: Reduced likelihood of bovine coronavirus and bovine respiratory syncytial virus infection on organic compared to conventional dairy farms
Solution: | True | 0 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.28391075134277344,
0.1280091106891632,
-0.3511659502983093,
0.417761892080307,
0.49293917417526245,
0.009469469077885151,
0.6451338529586792,
1.2955288887023926,
-0.3028024435043335,
0.9811817407608032,
-0.5564347505569458,
0.9231022596359253,
-0.23487232625484467,
0.4017338752746582,
... |
Part 1. Definition
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not change any content in the given question beyond a word or two i.e. the trigger word/phrase. PersonX and PersonY should not be equally likely to fill the blank. For your question, PersonY should be a well-agreed answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people or generic names (e.g., Donald Trump, John Doe, etc.) in your 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. Make sure that PersonX and PersonY have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY. Although there are many correct answers, you only need to write one of them.
Part 2. Example
Context word: upset.
Question: PersonX yelled at PersonY because _ was so upset about the news.
Answer: PersonX.
Answer: PersonX comforted at PersonY because _ was so upset about the news.
Explanation: On replacing the trigger word "yelled" with its antonym "comforted", the answer flips to PersonY which is as per the given instruction. So, this is a valid question.
Part 3. Exercise
Context Word: fundraiser.
Question: PersonX held a fundraiser in March and PersonY held a competing fundraiser in April, the March one did far better and _ gloated over it.
Answer: PersonX
Answer: | PersonX held a fundraiser in March and PersonY held a competing fundraiser in April, the April one did far better and _ gloated over it. | 7 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
1.3328248262405396,
-0.028228653594851494,
-0.19001354277133942,
-0.16540884971618652,
0.273579478263855,
-1.059851884841919,
1.4063189029693604,
0.6553691625595093,
-0.36452850699424744,
-0.4198848605155945,
-0.38841575384140015,
0.19910436868667603,
-0.6978917717933655,
0.537921190261840... |
Detailed Instructions: Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) original network, 15) parent company, 16) point in time, 17) production company, 18) residence, 19) series, 20) service entry, 21) sex or gender, 22) spouse, 23) standards body question.
See one example below:
Problem: Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern Cuban Guitar School.
Question : What was Isaac Nicola's city of birth?
Solution: place of birth
Explanation: The question is about the place of birth of the Isaac Nicola. Hence the output is relevant and valid
Problem: Context : Johannes Magirus (26 March 1537 -- 4 July 1614) was a German Lutheran Theologian.
Question : What was Johannes Magirus's career?
Solution: | occupation | 4 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.7186818718910217,
-0.05975308269262314,
-0.4656955599784851,
-0.5173894762992859,
0.1982751488685608,
-0.007965958677232265,
0.3308115005493164,
0.9828873872756958,
0.2897114157676697,
0.6106202602386475,
0.37395209074020386,
0.49443522095680237,
-1.1405625343322754,
0.20169410109519958,... |
In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follow-up questions on the user's command. Answer with "User" or "Agent".
Q: Can you make one for dinner at 6pm
A: | user | 4 | NIv2 | task1599_smcalflow_classification | zs_opt | [
-0.09449414163827896,
0.7908055782318115,
0.5220907926559448,
-0.16805872321128845,
-0.6612536311149597,
-0.015910832211375237,
0.683082103729248,
-0.15432879328727722,
0.21400709450244904,
-0.6250045299530029,
0.2415378838777542,
0.21581202745437622,
-1.0856003761291504,
0.493380278348922... |
Q: Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relationship with its holonym (i.e., input entity).
fetus
A: | prostate gland | 7 | NIv2 | task471_haspart_answer_generation | zs_opt | [
-0.8391191959381104,
0.7536662817001343,
0.1004224419593811,
0.15617047250270844,
-0.4891086220741272,
-0.012874072417616844,
-0.5701494216918945,
0.529406726360321,
0.7541139125823975,
-0.8253315687179565,
-0.9735127091407776,
0.7314202785491943,
-0.09252271801233292,
-0.00485802814364433... |
Detailed Instructions: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things, shaking them, etc. To make sure that the generated process does not lead to the asked outcome, you can introduce objects or events unrelated to the context of the question e.g. 'cleaning the keyboard by making an elephant sit on them'; or you can create contradictory statements e.g. 'drying wet keyboards with running water'. In your responses, avoid typos and misspellings.
Q: How can I make my keys easy to tell apart?
A: | Gather one color of nail polish and paint the top of your keys with a small paint brush. | 9 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
0.27665144205093384,
0.7430453300476074,
-0.8432675004005432,
0.21901428699493408,
-0.3648780882358551,
-0.6243744492530823,
0.10949273407459259,
0.46138328313827515,
0.07315880060195923,
0.44569796323776245,
0.27950578927993774,
0.2722131609916687,
-0.2555098831653595,
-0.0270377062261104... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
One example is below.
Q: אתם רואים שהפינגווין הזה ניגש ומסתכל על החוטים, הוא לא אוהב את החוט הזה.
A: شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند
Rationale: The Hebrew sentence is correctly translated into Farsi, because the meaning is preserved.
Q: הצטרפו לתנועה.
A: | به جنبش بپيونديد. | 9 | NIv2 | task1113_ted_translation_he_fa | fs_opt | [
-1.3368585109710693,
0.541165828704834,
0.14744466543197632,
0.4276082515716553,
-0.5946682691574097,
-0.76051265001297,
0.5896166563034058,
0.11420412361621857,
0.516692042350769,
0.23507829010486603,
-0.8479799032211304,
0.6661194562911987,
-0.9297833442687988,
-0.11546611040830612,
0.... |
Teacher:In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
Teacher: Now, understand the problem? Solve this instance: SECTION 1. SHORT TITLE.
This Act may be cited as the ``United States Weather Research
Program Act of 2003''.
SEC. 2. PROGRAM FOCUS.
The focus of the United States Weather Research Program, an
interagency program established under section 108 of the National
Oceanic and Atmospheric Administration Authorization Act of 1992 (15
U.S.C. 313 note), shall be on--
(1) hurricanes, floods, and heavy precipitation, including
both snow and rain;
(2) building on existing investments, including those of
the National Weather Service modernization effort, to
dramatically accelerate improvement in weather forecasts;
(3) providing attention and resources in areas where
progress can be made quickly and where the impact will be
greatest;
(4) establishing goals that can be attained by leveraging
the resources of several agencies and through the collaborative
scientific efforts of the operational and research communities
in academia and government; and
(5) making research grants to universities and other
research institutions.
SEC. 3. PROGRAM RESEARCH PRIORITIES.
The research priorities of the United States Weather Research
Program shall be in the areas of--
(1) hurricanes, to improve--
(A) landfall location forecasts; and
(B) forecasts of hurricane strength;
(2) heavy precipitation, to improve forecasts of both
winter storms and rain storms through better prediction of
timing, location, and intensity;
(3) floods, to improve--
(A) flood forecasting by coupling precipitation
forecasts with hydrologic prediction; and
(B) forecasting and warning systems for inland
flooding related to tropical cyclones;
(4) two-to-fourteen day forecasting, to--
(A) improve short and medium range numerical
weather predictions and warnings of high-impact weather
events;
(B) conduct the Hemispheric Observing System
Research and Predictability Experiment (THORpex) to
fill observational gaps in the Northern Hemisphere; and
(C) test and evaluate advanced data assimilation
techniques in global models;
(5) societal and economic impacts, to--
(A) identify methods of delivering weather
information effectively and recommend ways to improve
weather communications;
(B) assess social and economic impacts of adverse
weather ranging from disastrous to routine;
(C) evaluate what weather information is most
useful to public and private decision makers; and
(D) perform research on societal and economic
impact to ensure a connection between weather research
and improvement of the human condition; and
(6) testing research concepts at United States Weather
Research Program-sponsored test bed centers in an environment
identical to those used by operational meteorologists, to
enable technology transfer to those operational meteorologists.
SEC. 4. INTERAGENCY PLANNING AND PROCESS.
The National Oceanic and Atmospheric Administration, as the lead
agency of the United States Weather Research Program, shall coordinate
and consult with the National Science Foundation, the National
Aeronautics and Space Administration, other appropriate Federal
agencies, and other appropriate entities to develop, and annually
update, a five-year plan--
(1) describing how Federal agencies can best team with
universities and other research institutions;
(2) identifying social, economic, and military needs and
requirements for weather information, as well as defining the
research required to meet these needs;
(3) outlining methods for dissemination of weather
information to user communities; and
(4) describing best practices for transferring United
States Weather Research Program research results to forecasting
operations.
SEC. 5. REPORTING REQUIREMENTS.
Not later than one year after the date of the enactment of this
Act, and annually thereafter, the Administrator of the National Oceanic
and Atmospheric Administration shall transmit to the Committee on
Science of the House of Representatives and the Committee on Commerce,
Science, and Transportation of the Senate a report which shall
include--
(1) the most recent five-year plan developed or updated
under section 4, including the roles and funding to be provided
by various Federal agencies in achieving the objectives of the
plan;
(2) a justification of any changes to the plan since the
last transmittal under this section; and
(3) a detailed assessment of the extent to which the
objectives of the plan have been achieved.
SEC. 6. AUTHORIZATION OF APPROPRIATIONS.
There are authorized to be appropriated to the Office of
Atmospheric Research of the National Oceanic and Atmospheric
Administration for carrying out this Act--
(1) for fiscal year 2004, $15,000,000, of which at least 50
percent shall be for competitive, merit-reviewed grants to, or
contracts or cooperative agreements with, institutions of
higher education (as defined in section 101 of the Higher
Education Act of 1965 (20 U.S.C. 1001));
(2) for fiscal year 2005, $15,500,000, of which at least 50
percent shall be for competitive, merit-reviewed grants to, or
contracts or cooperative agreements with, institutions of
higher education (as defined in section 101 of the Higher
Education Act of 1965 (20 U.S.C. 1001)); and
(3) for fiscal year 2006, $16,000,000, of which at least 50
percent shall be for competitive, merit-reviewed grants to, or
contracts or cooperative agreements with, institutions of
higher education (as defined in section 101 of the Higher
Education Act of 1965 (20 U.S.C. 1001)).
Student: | United States Weather Research Program Act of 2003 - States that the United States Weather Research Program's priorities shall be in the areas of: (1) hurricanes, to improve landfall location and hurricane strength forecasts; (2) heavy precipitation, to improve winter and rain storm forecasts; (3) floods, to improve flood forecasting and forecasting and warning systems for inland flooding related to tropical cyclones; (4) two-to-fourteen day forecasting, to improve weather predictions and warnings of high-impact weather events, to conduct the Hemispheric Observing System Research and Predictability Experiment (THORpex) to fill observational gaps in the Northern Hemisphere, and to test and evaluate advanced data assimilation techniques in global models; (5) societal and economic impacts, to identify methods of delivering weather information effectively, to recommend ways to improve weather communications, to assess impacts of adverse weather, to evaluate what weather information is most useful, and to perform research on such impacts; and (6) testing research concepts at Program-sponsored test bed centers, to enable technology transfer to operational meteorologists.Directs the National Oceanic and Atmospheric Administration (NOAA) to develop and annually update, and NOAA's Administrator to report to Congress on, a five-year plan: (1) describing how Federal agencies can best team with universities and other research institutions; (2) identifying social, economic, and military needs and requirements for weather information; (3) outlining methods for disseminating information to user communities; and (4) describing best practices for transferring Program research results to forecasting operations. | 6 | NIv2 | task1658_billsum_summarization | zs_opt | [
-0.05896501988172531,
0.04224887862801552,
-0.7572742700576782,
-0.33516010642051697,
0.3309210538864136,
-0.9619216322898865,
0.5925833582878113,
1.0315794944763184,
-0.6409887075424194,
0.31167158484458923,
-0.2195684015750885,
0.36620619893074036,
0.1721293032169342,
0.16166801750659943... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following 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?).
Example: Efforts to control future SARS outbreaks depend on the accurate and early identification of SARS-CoV infected patients.
Output: background
The sentence 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.
New input case for you: The periostin concentration of IS supernatants was measured by enzyme-linked immunosorbent assay.
Output: | method | 1 | NIv2 | task1163_coda19_section_classification | fs_opt | [
0.13632041215896606,
0.2783944010734558,
-0.40920290350914,
0.21470099687576294,
0.5906823873519897,
-0.11996027827262878,
0.3643524646759033,
1.2975726127624512,
-0.19583705067634583,
0.3713599145412445,
-1.1235193014144897,
0.04731267690658569,
0.33757999539375305,
0.1684289425611496,
... |
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social category that relates to a fundamental aspect of individuals community, socio-demographics, position or self-representation) (2) Affiliation Directed Abuse (e.g., Content which express negativity against an affiliation. We define affiliation as a (more or less) voluntary association with a collective. Affiliations include but are not limited to: memberships (e.g. Trade unions), party memberships (e.g. Republicans), political affiliations (e.g. Right-wing people) and occupations (e.g. Doctors).) (3) Person Directed Abuse (e.g., Content which directs negativity against an identifiable person, who is either part of the conversation thread or is named. Person-directed abuse includes serious character based attacks, such as accusing the person of lying, as well as aggression, insults and menacing language.) and (4) Counter Speech (e.g., Content which challenges, condemns or calls out the abusive language of others.). Note that URLs in the text have been replaced with [Link].
#wypipo good meme
yes
Well just because we couldn't have slaves doesn't mean we still don't want em
yes
Wow. As a father I'm really sorry and totalky shocked that any parents could EVER say something like that to their kid. Have you checked out r/raisedbynarcissists?
| no
| 0 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
-0.1297164410352707,
0.07275445014238358,
0.5471912622451782,
0.2162686288356781,
-0.11733586341142654,
-0.7604004144668579,
0.8965880870819092,
0.8230524063110352,
0.030236709862947464,
0.7582592964172363,
0.10293106734752655,
-0.454218327999115,
-0.6069554090499878,
-0.7591772675514221,
... |
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Ten diabetes. Caso pechado.
| Aveva preso il diabete. Caso chiuso. | 5 | NIv2 | task1243_ted_translation_gl_it | zs_opt | [
-0.37971946597099304,
0.6874431371688843,
-0.15494364500045776,
-0.670565664768219,
-0.11802470684051514,
-0.5064181089401245,
0.050066690891981125,
0.4743386507034302,
-0.263445109128952,
-0.11410107463598251,
-0.6012976169586182,
0.8556635975837708,
-0.4096740484237671,
0.452897965908050... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Example: For many Brazilians, Michel Temer's ascension to president was surprising. But as the first Brazilian president to have charges brought against him while in office, his arrest is less unexpected.
Output: Michel Temer: Brazil's arrested former president
The output is a relevant title for the given passage as it highlights the main crux of the given text.
New input case for you: Teaching unions in Northern Ireland have rejected a pay offer after months of negotiations and are considering further action.
Output: | NI teaching unions reject pay offer and consider further action | 1 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.34454402327537537,
0.8993473052978516,
0.17099589109420776,
0.1240229681134224,
0.07706473767757416,
0.21744170784950256,
-0.4578081965446472,
0.603929877281189,
-0.056899022310972214,
0.5887766480445862,
-0.306079626083374,
-0.26448214054107666,
-0.1700361669063568,
-0.3830015659332275... |
TASK DEFINITION: In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the middle sentence, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
PROBLEM: Beginning: Ina found a golden ring in the hall at school. Ending: Ina took the ring right to the Lost And Found office.
SOLUTION: Ina debated for only a moment.
PROBLEM: Beginning: Ben was celebrating his birthday. Ending: He was so happy to be fourteen!
SOLUTION: Ben had a lot of friends and family over to celebrate.
PROBLEM: Beginning: I got pulled over on my way home from work. Ending: He simply told me to make sure I got it fixed soon.
SOLUTION: | I got a ticket for a broken light.
| 8 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
0.19240207970142365,
0.5551384687423706,
-0.31854891777038574,
-0.004000203218311071,
-0.007523306645452976,
0.04344474524259567,
0.45779168605804443,
0.3431839942932129,
-0.4934881925582886,
-0.12006177008152008,
-0.40773582458496094,
0.18412619829177856,
0.08895248174667358,
-0.450902312... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
[EX Q]: DH: Teño que prepararme.
[EX A]: DH: Devo prepararmi.
[EX Q]: Semellan máis intelixentes.
[EX A]: Essi sembrano essere una cosa più intelligente.
[EX Q]: Esta é India e esta é China. O tamaño indica a poboación.
[EX A]: | Questa è l'India e questa è la Cina. La dimensione è la popolazione.
| 6 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.4914838373661041,
0.8402146100997925,
0.10396473109722137,
-0.9615373015403748,
-0.470891535282135,
-1.121640920639038,
0.2442062944173813,
0.7053647041320801,
-0.3674812316894531,
-0.5344351530075073,
-0.7903708815574646,
-0.12845109403133392,
-0.40850257873535156,
0.4698713421821594,
... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Q: Person1: How annoying !
Person2: What's the matter ?
Person1: Every time I try to start this program , the computer freezes .
Person2: Maybe there's something wrong with the program .
A: 0
****
Q: Person1: Will you look at this form ?
Person2: Are you having problems with it ?
Person1: I don't understand some things .
Person2: Let me help you .
Person1: What does MI mean ?
Person2: MI stands for Middle Initial .
Person1: What does MM / DD / YY mean ?
Person2: That means Month / Day / Year . Use numbers .
Person1: I don't understand .
Person2: For example , if your birth date is January 12 , 1987 , write 01/12 /8 7 .
Person1: Oh . That's simple enough .
Person2: Always print clearly , and fill in the bubbles completely .
A: 0
****
Q: Person1: Well , that was an interesting documentary !
Person2: For sure ! I didn ’ t really understand some of the technical jargon they used in the film when they talked about social security in the US .
Person1: Like what ?
Person2: Well , they mentioned how people put away money in something called a 401K ?
Person1: Yeah , I know it sounds weird , but a 401k is a type of retirement plan that allows employees to save and invest for their own retirement . Through a 401K , you can authorize your employer to deduct a certain amount of money from your paycheck and invest it in the plan . Everyone tries to contribute as much as possible so that when you retire , you can rest peacefully on your nest egg .
Person2: That ’ s interesting and logical I guess . In my country , we also have to contribute to a government-run retirement fund , but most people don ’ t really trust it so they just invest in properties or things like that .
Person1: That seems a bit unstable don ’ t you think ?
Person2: Yeah , but corrupt governments in the past have created distrust among banks and financial institutions , so now people prefer to have money hidden in a jar or a piggy bank .
Person1: I ’ Ve been thinking of doing that lately ! I don ’ t want some banker to run off with my money !
A: | 0
****
| 4 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.35166674852371216,
0.14806018769741058,
-0.1690368354320526,
0.05237150564789772,
0.19398701190948486,
0.040696822106838226,
0.8520275950431824,
0.7780255079269409,
0.07281962782144547,
0.1822224259376526,
-0.28273653984069824,
-0.8099193572998047,
-0.5015221834182739,
0.2151546478271484... |
Q: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional information about the situation that might weaken or strengthen the hypothesis. A weakener is a statement that weakens the hypothesis, that is, it makes you much less likely to believe the hypothesis is true. A strengthener is a statement that strengthens the hypothesis, that is, it makes you much more likely to believe the hypothesis is true. Your task is to answer with 'strengthener' or 'weakener' if the update strengthens or weakens the hypothesis, respectively.
Premise: People standing in line at a Pizza Pizza place.
Hypothesis: People standing in line at a Pizza Pizza place take out.
Update: People keep walking out of the door with pizza boxes
A: | strengthener | 7 | NIv2 | task936_defeasible_nli_snli_classification | zs_opt | [
0.3558136820793152,
0.10551264882087708,
-0.28829342126846313,
0.19041909277439117,
0.29952484369277954,
-1.146040439605713,
0.8949546813964844,
1.26112699508667,
0.7465828657150269,
0.017580587416887283,
-0.7385169267654419,
0.09877339750528336,
-0.49638068675994873,
0.13625048100948334,
... |
Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.
Example Input: The two on Thursday toured a Lowndes County neighborhood where residents say the sewage system regularly overflows into their yards and homes. They then held a town hall in Hayneville. Charlie Mae Holcombe, 70, of Hayneville, said heavy rains are always a sign of trouble. Holcombe described the problems she faced as Gore and Barber spoke with her in her driveway. She said the toilets in her house will begin to bubble as a sign the sewage system is about to backup, sometimes filling her yard — including the area around a child’s swing set — and her house with raw sewage. “They have had to come and pump it out of my yard with the pump truck,” Holcombe said. “It’s backing up, even in my bathtub. The sewage has run over all in the house.” Her home in Lowndes County is in an area that has been plagued by sewage problems and concerns about potential illness. “I have heard about it and seen pictures of it for a long time, but it was shocking to see it in person,” Gore said of the conditions he saw. Alabama’s Black Belt region gets its name for the dark rich soil that once gave rise to cotton plantations. But the type of soil makes it difficult for traditional septic tanks, in which wastewater filters through the ground, to function properly, said Alabama State Health Officer Scott Harris in an interview with The Associated Press. The region’s intense poverty and inadequate municipal infrastructure contribute to the problem. “Sewage is typically handled at a local level... These counties haven’t always been able to do that,” Harris said. Catherine Coleman Flowers, an activist who has worked on rural environmental issues in the county for years, said wastewater sanitation problems are not limited to Alabama’s Black Belt. “It’s all over the country,” Flowers said, adding that climate change, with heavy rains and rising water tables, will make it worse. Holcombe said she’s not sure what it means, but when a red light flashes at a sewage treatment lagoon across the street, it is a reliable sign that her yard will flood. In addition to overwhelmed septic and sewage systems, some homes in the rural county are on “straight pipe” systems where sewage runs untreated from home to yard. Harris said a May survey of almost 200 Lowndes County households found that two to three percent of the households were on straight pipe systems. Holcombe’s home sits not far from the state highway where voting rights marchers walked from Selma to Montgomery in 1965. Barber noted the proximity to the key sites of the civil rights movement and said the environmental issues are about the continued fight for justice. The town hall, held at a community center in Hayneville, focused on a number of environmental issues. Birmingham resident Jimmy Smith described living near a Superfund site in Birmingham. Others described concerns about landfills, straight pipe sewage systems and coal ash disposal in the Black Belt. At the town hall, Gore criticized what he described as the continued resistance from power companies and politicians to switching to renewable forms of energy such as solar energy. “It’s really a disgrace that this far Southern state with abundant sunshine is deprived of the advantages of the solar revolution being enjoyed all over the world,” Gore said.
Example Output: Environmental justice issues focus of town hall.
Example Input: The heath secretary, Dr. Rachel Levine, announced Thursday she’ll be adding them as of July 20. Levine says her decision was based on the recommendation of the state’s Medical Marijuana Advisory Board and her own review of medical research literature. She says medical marijuana shouldn’t be the first treatments for those conditions, but physicians can recommend it to be used together with traditional therapeutic approaches. The list already includes cancer, epilepsy, intractable seizures, post-traumatic stress disorder, terminal illness and other conditions. Nearly 111,000 Pennsylvanians have been certified for participation in the state’s medical marijuana program .
Example Output: State adds anxiety to qualifying conditions for medical pot.
Example Input: "Patients used to pay $10,000 a year for cancer drugs, but now they’re paying $10,000 a month, according to HBO talk show host Bill Maher. That’s a message circulating on Facebook recently, promoted by the ""Bill Maher Fanpage."" A reader asked us to check it out. The quote comes from the Oct. 2 episode of Real Time with Bill Maher, where Maher discussed Turing Pharmaceuticals, the company that jacked up the cost of a life-saving drug from $13.50 to $750 essentially overnight. ""Not that (Turing CEO Martin) Shkreli is unusual for the pharmaceutical industry,"" Maher said on his show. ""Fifteen years ago, cancer drugs cost an average of $10,000 a year. Now it’s $10,000 a month because this cartel owns the U.S. government every bit as much as Mexican drug lords own theirs."" It’s well known that the cost of health care is on the rise, but has the annual cost of cancer drugs really increased so dramatically in just a decade and a half? Maher’s team sent us links to some news articles about the rising cost of cancer drugs, and we tracked down information that speaks to his claim. The best information we could nail down is the cost of anticancer drugs at launch, the initial price when the Federal Drug Administration approves a drug. These are the sticker prices set by the pharmaceutical companies, not the prices patients actually pay out of pocket, which are reduced by insurance payments, patient assistance programs and other discounts. Costs increases, though, are often passed on to consumers. Maher has a point that cancer drug costs are on the rise. We charted the launch costs of cancer drugs the FDA approved since 1999, using a list compiled by Memorial Sloan Kettering Cancer Center. The second half of Maher’s statement -- that cancer drugs now cost about $10,000 a month -- is also on solid ground. Of drugs approved in 2015, the monthly average cost is $11,319. And experts in the field often cite that $10,000 figure themselves. Because many cancer drugs are not administered to patients for a full year, it’s difficult to determine an average annual cost, so the first half of Maher’s statement -- that they cost about $10,000 a year 15 years ago -- is hard to nail down. To his point, though, the monthly cost of a new drug was dramatically lower in 2000 than what it is now at about $4,634. One of the news articles that Maher’s team sent us is an academic article in the Journal of Oncology Practice that supports his statement. The report reads, ""The average cancer drug price for approximately one year of therapy or a total treatment duration was less than $10,000 before 2000."" Maher’s statement is ""in the ballpark,"" if not an understatement, said Rena Conti, a health economist at the University of Chicago who researches cancer drug prices. In a 2015 paper Conti authored with three other leading health economists, she examined the launch cost of anticancer drugs controlled for inflation and the benefit to the patient (how much it prolongs life expectancy). For example, in 1995, anticancer drugs cost $54,100 for an additional year of life, the study found. In 2005, drugs cost $139,100 for the same benefit, and the price grew to $207,000 in 2013. In the United States, pharmaceutical companies set their own drug prices. What’s pushing them to increase the costs? It’s not necessarily that cancer drugs are getting better and are thus worth more. Conti’s research concluded that just about one-fifth of the cancer drug cost increase can be attributed to a better product. There are two primary forces behind annual cancer drug cost increases, Conti said: First, pharmaceutical companies estimate a ""zone of indifference"" -- based on last year’s prices, how much more would buyers be willing to pay? Second, rebates and discounts for drugs have also increased over time, and this creates an incentive for drug companies to increase their costs alongside the discounts. Pharmaceutical companies defend drug price increases by emphasizing that the revenue funds innovative research and that drugs lower overall health care costs by treating illnesses. Because there’s no formal price regulation and competition in the industry is rare, ""It really is a system where there’s no downward pressure on drug prices,"" said Peter Bach, director of the Memorial Sloan Kettering Center for Health Policy and Outcomes in an interview with Fortune. Our ruling Maher said, ""15 years ago, cancer drugs cost an average of $10,000 a year. Now it’s $10,000 a month."" The average annual cost of a drug isn’t easy to calculate, given the way cancer drugs are scheduled; many drugs aren’t used every month for an entire year. So the first half of the statement is hard to verify, though we did find one academic source that cites a similar figure. However, Maher has a point that the cost of cancer drugs has increased dramatically since 2000, when the average monthly price of a cancer drug, when it first hit the market, was about $4,600. In 2015, the monthly cost is over $10,000. Maher’s numbers are a little squishy, but they’re in the ballpark."
Example Output: | 15 years ago, cancer drugs cost an average of $10,000 a year. Now it’s $10,000 a month.
| 3 | NIv2 | task1368_healthfact_sentence_generation | fs_opt | [
0.321757435798645,
1.0001393556594849,
-0.176683247089386,
-0.5582018494606018,
0.6930403113365173,
-0.7983129024505615,
0.24908556044101715,
1.2724015712738037,
-1.017080307006836,
0.5318557024002075,
-0.16424241662025452,
0.6917247772216797,
0.031199488788843155,
-0.48991793394088745,
... |
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.
7, ['6443', '1261', '945', '2891', 'p', '2667', 'G', 'm', 'n', 'C', '3627', '9613', '9095', 'K', '3081', '4231', 'E', 'l']
6443, 1261, 945, 2891, p, 2667, G, m, n, C, 3627
2, ['S', 'j', '3363', 'F', '4755', 'M', 'j', '3675', 'v', '8531', '8159', '3165', 'e', '5189', 'O', 'V', '5953', 'N', '3761', '5969', 'k', 'f', '9601', '1725', 'r', '7341', 'S', '2223', 'k']
S, j, 3363, F, 4755, M, j, 3675, v, 8531, 8159, 3165, e, 5189, O, V, 5953, N, 3761, 5969, k, f, 9601, 1725, r, 7341, S
1, ['h', '8827', '3437', '7501', '7697', '2605', 'M', '879', 'K', 'x', '9783', '4771', 'k', '2555', '2941', 'z', '531', 'd', '3431', 'U']
| h, 8827, 3437, 7501, 7697, 2605, M, 879, K, x, 9783, 4771, k, 2555, 2941, z, 531, d, 3431
| 0 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
-0.0430784747004509,
0.0388014018535614,
-0.2609008848667145,
-0.43993881344795227,
-0.3909221291542053,
-0.30381542444229126,
0.7243752479553223,
0.36941608786582947,
-0.42530179023742676,
0.22624704241752625,
-0.7018389701843262,
0.04740925133228302,
-0.24741315841674805,
0.3523961603641... |
Definition: In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Input: Arrived nicely packaged and sealed. An aromatic, lovely tea that I love to blend with others to make custom iced tea blends. I love this Oolong orange with fruity black teas. Recommended!
Output: | great tea! | 2 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
-0.24205437302589417,
0.16812026500701904,
0.023403974249958992,
-0.40753230452537537,
0.0880708247423172,
-0.08476303517818451,
0.6425192356109619,
-0.4482364058494568,
0.24507027864456177,
0.4654870629310608,
-0.13804581761360168,
-0.6852182149887085,
-0.30384647846221924,
0.116709999740... |
Q: 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.
[706, -888, -504, 483, 110, -639, 683, 921, 560, 549, -544, -906, 516, 794, -284, 452]
A: | [-888] | 7 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.631803035736084,
0.4200311303138733,
-0.3548014163970947,
-0.3290647864341736,
-0.4478016495704651,
0.22080489993095398,
0.9591765999794006,
0.2619912624359131,
-0.32781508564949036,
0.23737527430057526,
-0.26869451999664307,
-0.18116983771324158,
-0.38358956575393677,
-0.16725625097751... |
Detailed Instructions: In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Problem:Statement: At low tide you can walk or wade out to the little island of Grand B??, with its simple, unadorned tomb of the locally born Romantic writer Ceteaubriand. Choices: 1. You can walk 200 feet to the island at low tide. 2. The tomb of Ceteaubriand is on a little island that you can walk to at low tide. 3. You can never walk to the tomb, the water is too high.
Solution: | 3 | 8 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
0.35021093487739563,
0.6493704319000244,
-0.4069581925868988,
-0.30928584933280945,
0.3330177962779999,
-1.0166840553283691,
0.390923410654068,
0.27381882071495056,
-0.5513352751731873,
0.0789659321308136,
0.4536193013191223,
-0.1698453426361084,
-0.07903482019901276,
-0.29964590072631836,... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Która funkcja mózgu jest najtrudniejsza?
| אם כך, מה הוא הדבר הקשה ביותר למוח לבצע? | 5 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.6916438341140747,
1.1579227447509766,
0.5391119122505188,
-0.24404677748680115,
-0.2986485958099365,
0.746230959892273,
0.6658550500869751,
-0.5856782793998718,
1.1395471096038818,
-0.809562087059021,
-0.3997296094894409,
-0.10305948555469513,
-0.5491185188293457,
0.6296695470809937,
... |
Given the task definition, example input & output, solve the new input case.
The provided file includes inquiries about restaurants in Arabic, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
Example: هل هناك أي مطاعم " italian " بالقرب من 8 من التقييمات بالنجوم؟
Output: are there any " italian " restaurants nearby with 8 star reviews ?
The translation correctly preserves " italian " entity and is accurate
New input case for you: أين يوجد أقرب مطعم " mexican "؟
Output: | where is the nearest " mexican " restaurant ? | 1 | NIv2 | task257_spl_translation_ar_en | fs_opt | [
-0.3753244876861572,
0.6255213022232056,
0.5327706933021545,
-0.0882619172334671,
0.0725097805261612,
-0.05342933163046837,
0.7143962383270264,
0.8275587558746338,
-0.4117516875267029,
-0.27058959007263184,
0.2469317615032196,
0.3918246030807495,
-0.27942267060279846,
0.12777724862098694,
... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
question:
Fu una cosa assolutamente gigantesca, dunque.
answer:
Era unha cifra realmente enorme.
question:
Ma gli umani sono curiosi, e piace loro aggiungere cose ai loro corpi per poter andare sulle Alpi un giorno e poi diventare un pesce nel mare il giorno dopo.
answer:
Pero os humanos son curiosos e gústalles engadir cousas ao corpo para poder ir aos Alpes un día e ser como un peixe no mar ao seguinte.
question:
ma quella destra è un pochino diversa in ogni specie
answer:
| Mais a parte dereita é un chisco diferente en cada especie.
| 9 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.47970807552337646,
0.6448913216590881,
-0.34618884325027466,
-0.09789245575666428,
-0.8073681592941284,
-1.0516287088394165,
0.3669986128807068,
0.10653983801603317,
-0.22097504138946533,
-0.7844771146774292,
-0.3348729908466339,
0.1136600449681282,
-0.4309481680393219,
0.42190328240394... |
Detailed Instructions: You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
See one example below:
Problem: Sentence: GOP leaders submitted the new offer Tuesday afternoon in an effort to appease Democrats, whose votes are needed to avert a shutdown of federal agencies, several House and Senate aides said. Question: Who has to be appeased to keep the government open?
Solution: Yes.
Explanation: The sentence says that "the Democrats" have to be appeased, which answers the question. So, the correct label should be "Yes".
Problem: Sentence: The horse ordered fries.
Question: Which side was ordered with the fish sandwich?
Solution: | Yes. | 4 | NIv2 | task050_multirc_answerability | fs_opt | [
-0.5118365287780762,
0.12164495885372162,
0.27734583616256714,
0.7283035516738892,
-0.42576831579208374,
-1.5875821113586426,
0.3591024875640869,
0.8088254928588867,
0.18994784355163574,
0.07142705470323563,
-0.1616499125957489,
-0.22725684940814972,
0.0018515094416216016,
-0.0739424824714... |
Detailed Instructions: Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Problem:No good I bought 2añd they aren't working
Solution: | Negative Review | 8 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
0.06042823940515518,
0.2596290111541748,
-0.13765032589435577,
-0.5649905204772949,
0.001964003313332796,
-0.16797471046447754,
0.20580029487609863,
0.38657015562057495,
-0.13026849925518036,
0.5878133773803711,
-0.48572665452957153,
-0.3274189233779907,
-0.4736809730529785,
-0.50301134586... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in English, and your task is to translate it into Persian.
not just the words . and thats where a great film editor can help a director .
Solution: فقط کلمات نيستن؛ يک تدوينگر خوب خيلي به کار گردان کمک ميکنه .
Why? This is a good example. The above sentence is correctly translated from English to Persian.
New input: yes.
Solution: | بله | 0 | NIv2 | task658_tep_en_fa_translation | fs_opt | [
-0.987462043762207,
0.26662176847457886,
-0.31819331645965576,
0.062112681567668915,
-0.3758910894393921,
-0.05675601214170456,
0.6784768104553223,
0.310843288898468,
0.27024829387664795,
-0.20367395877838135,
-0.12933500111103058,
-0.49287500977516174,
-0.4787810146808624,
0.5671893954277... |
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 a part, portion, or makeup of the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX always wore<sep>Tail: puts item on
A: | No | 4 | NIv2 | task1210_atomic_classification_madeupof | zs_opt | [
0.2606268525123596,
0.4210565686225891,
0.21049493551254272,
0.16607064008712769,
-0.6146376132965088,
-0.7109522819519043,
0.9877141714096069,
0.8289212584495544,
-0.5287895798683167,
-0.4013782739639282,
-0.7415258884429932,
-0.24024322628974915,
-0.5929601192474365,
0.42189258337020874,... |
Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Input: En mi buceo bajé a los 5.400 metros, a un área que pensé sería silvestre y prístina en el fondo del mar.
Output: | Zanurzyłem się na głębokość prawie 5,5 km do miejsca, o którym myślałem, że będzie nieskazitelnie dzikim obszarem na dnie morza. | 3 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.6189565658569336,
0.8480697870254517,
-0.8484330773353577,
-0.3748566210269928,
0.23504409193992615,
0.04917716234922409,
0.15407496690750122,
-0.3773277997970581,
0.36085444688796997,
-0.032082416117191315,
-0.5206066370010376,
-0.2384260892868042,
-0.9024118185043335,
0.04944279789924... |
You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous.
[Q]: Виктор - с ироничной ухмылкой , дескать , давайте , ребятки , играйте в бирюльки для дур .
[A]: joy
[Q]: Безумно скучаю по тебе любимый:(
[A]: surprise
[Q]: Безумно скучаю по тебе любимый:(
[A]: | surprise
| 5 | NIv2 | task1663_cedr_ru_incorrect_classification | fs_opt | [
-0.9377954602241516,
0.19210118055343628,
0.30456382036209106,
-0.26666802167892456,
-0.28349068760871887,
-0.5224794745445251,
0.35671544075012207,
0.9174643754959106,
0.19924092292785645,
-0.10525491088628769,
-0.5144129991531372,
0.021128106862306595,
0.054107725620269775,
0.07392235845... |
You will be given a definition of a task first, then some input of the task.
This task is about translating a given Spanish language sentence to English.
Esto es evolución social.
Output: | This is social evolution. | 1 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.516059160232544,
0.8385025858879089,
0.5562583208084106,
-0.3851366639137268,
-0.06732173264026642,
0.22727644443511963,
0.2022998183965683,
1.1532788276672363,
0.8380733728408813,
-0.5503538846969604,
-0.20166034996509552,
-0.14604368805885315,
-0.25665706396102905,
-0.0026433507446199... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must be different in terms of trigger words (e.g., "small" and "big") which express contrasting properties about the two objects. The answer must not be associated with the trigger word; instead, it should depend on the context present in twin sentences. Also, the answers should not be ambiguous. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use animals and proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. Avoid repeating the same style or phrase in twin sentences. E.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that ObjectX and Y have the same number e.g. when ObjectX is singular, ObjectY must be singular, too. The two objects (ObjectX & ObjectY) should be used ONCE in each sentence. Here is a list of contrastive words that may be used as trigger words. You should create more such trigger words and use them in your twin sentences.
| 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 |
Context Word: tantrum. | Sentence 1: He threw a tantrum after losing the toy and the tablet, but he couldn't earn back the _ today.
Answer1: tablet.
Sentence 2: He threw a tantrum after losing the toy and the tablet, but he could only earn back the _ today.
Answer2: toy. | 0 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.6063345670700073,
0.4029785990715027,
0.026793263852596283,
-0.17254182696342468,
0.6802938580513,
-0.6687538027763367,
0.47954413294792175,
1.1114344596862793,
-0.6896612644195557,
-0.36245962977409363,
-0.41107386350631714,
-0.027373056858778,
-0.6162055730819702,
-0.11686816811561584,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence 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?). ",
Sentence: Efforts to control future SARS outbreaks depend on the accurate and early identification of SARS-CoV infected patients.
Section: background
Solution: True
Why? 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.
New input: Sentence: We have determined the crystal structures of the C-terminal hydrophilic domain of nsp4 ( nsp4C ) from MHV strain A59 and a C425S site-directed mutant.
Section: purpose
Solution: | False | 0 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
-0.026032984256744385,
0.19640646874904633,
-0.24570445716381073,
0.3391997218132019,
0.2030942738056183,
-0.000980720273219049,
0.33833324909210205,
1.3823692798614502,
0.18266832828521729,
0.3528805077075958,
-0.9122715592384338,
-0.07208399474620819,
0.08486401289701462,
0.2719363868236... |
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 Input:
Ordered take out which consisted of sesame chicken, cashew chicken and crab ragoons. Were were told 20 minutes for pick up and we waited an additional 15 minutes at the restaurant when we went to pick up. There was a customer that came back to try to return the food because it was stale. Our food as well was stale, cold, and had ZERO flavor. Will not return here. Stay away from this one.
Ex Output:
NEGATIVE
Ex Input:
While my experience was not as appalling as the previous reviewer's, I, too, can hardly recommend a meal at The Bayou. But I did (after some thought) choose to give it two stars, rather than one, so let me explain why:\n\nThe food wasn't terrible. It was bland and uncreative. I ordered the red beans and rice with andouille sausage. The hearty portion of it that I was served was pretty good, but under-salted and perhaps under-seasoned, in general. The highlight of the meal might have been our appetizer of Bourbon Hot Wings, which were nice and meaty with a good, spicy sauce coating them.\n\nWhat was really more atrocious than the food at The Bayou was the decor and the service. Michael R. noted that the murals on the inside walls of the restaurant are tacky and touristy. I'll give him that, but my bigger complaint was the furniture. The restaurant is entirely indoors, and yet the only table/chair options are metal \""grate\"" patio furniture! Great for an evening outdoors (and necessary, I understand, if you need weather resistant pieces), but uncomfortable and unnecessary indoors. \n\nAnd the service was slow. It took our server a long time to seat us, and to bring us our drinks. The appetizer was slow coming out, as was the main course. The time in between service and the obligatory check-in (\""how is everything?\"") was long, as well, which was unfortunate because it meant that we didn't even get salt on our table until we were halfway through our main course. The slow service also meant that when I was unsatisfied with my drink (I ordered an Old Fashioned. What they served me was a watery glass of whiskey with seemingly no other flavoring), it took a while to exchange it (for the Nola Cola, which was actually quite good).\n\nTwo stars or one, the bottom line on The Bayou is probably still: don't bother.
Ex Output:
NEGATIVE
Ex Input:
I love this place and always have I've been going here ever since they've opened and they never disappoint! I always have to get my nails done by my go to guy Craig who's also the manager he's AMAZING
Ex Output:
| POSITIVE
| 1 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-0.3632763624191284,
-0.01868869550526142,
-0.31223782896995544,
-0.19220082461833954,
0.7945713996887207,
-0.18297375738620758,
0.5130603313446045,
1.1318196058273315,
0.05138615518808365,
0.38031765818595886,
0.6608558297157288,
0.14782945811748505,
-0.4059438407421112,
-0.11866335570812... |
Part 1. Definition
In this task, you will be presented with a question having multiple possible answers in Arabic language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Part 2. Example
Question: ارتفعت صوت المروحة الكهربائية كثيرًا وكانت تزعج الآخرين ، على الرغم من أنهم سمحوا بالعديد من الأشياء الشخصية على المكاتب التي كان مطلوبًا منها إيقاف تشغيلها؟
Options: (A) خزانة (B) المدخل (C) غرفة ساخنة (D) الصفحة الرئيسية (E) مكتب. مقر. مركز
Answer: E
Explanation: The predicted answer is correct as the prahse, they allowed personal things on the desk, suggests that fan is in the office.
Part 3. Exercise
Question: الشرير في العصور الوسطى هو نوع من ماذا؟
Options: A النبيل B ارستقراطي C شخص جيد D مالك الأرض E قديس
Answer: | D | 7 | NIv2 | task1142_xcsr_ar_commonsense_mc_classification | fs_opt | [
0.14738866686820984,
0.5563206672668457,
-0.1064242348074913,
-0.3708323836326599,
-0.25051987171173096,
0.2543202042579651,
1.4217337369918823,
0.05164090916514397,
0.6188070774078369,
-0.01358377281576395,
-0.5960850715637207,
0.33179083466529846,
-0.334209680557251,
-0.30807751417160034... |
Detailed Instructions: "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate your answer by 'Response 1' if the first response is correct, otherwise 'Response 2'. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange.
Problem:Prompt: How is it great that you're leaving when I'm happy when you're here?
Response 1: Well, because I will be away from you, and that's how I'll be happy. And everyone else is coming with me, too.
Response 2: Yeah, my new "friends" did not consider me a friend.
Solution: | Response 1 | 8 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
0.0304446779191494,
0.9238554239273071,
0.4132513999938965,
-0.3532123267650604,
0.1134820505976677,
-0.8194645643234253,
0.33884769678115845,
0.29453611373901367,
0.04197898507118225,
-0.3280720114707947,
-0.4516409635543823,
0.1797776222229004,
-0.6667013168334961,
0.2526102066040039,
... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
Q: Sentence 1: Eric was not a good fisherman.
Sentence 3: Then he got a new lure at the bait shop
Sentence 4: He tried it out for the first time
Sentence 5: He ended up with 10 fish by the end of the day
Given Sentence 2: They were in the hospital that same evening.
A: | No | 4 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
-0.8353291749954224,
0.3099815547466278,
0.31968218088150024,
-0.15477517247200012,
0.06170318275690079,
-0.5909479856491089,
0.5996162295341492,
0.8922959566116333,
-0.09838731586933136,
0.10537470877170563,
-0.2850725054740906,
-0.051465608179569244,
-0.693306565284729,
0.073852792382240... |
Teacher:Given a sentence in Dutch, generate a new Dutch 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.
Teacher: Now, understand the problem? Solve this instance: Een klas kan naar voren kijken als de leraar hun aandacht wil.
Student: | Een klas kan de frustratie onder ogen zien wanneer de leraar hun pauze wil. | 6 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.572829008102417,
0.5196603536605835,
0.29918932914733887,
-0.5402008295059204,
-0.18650183081626892,
-0.4641656279563904,
0.19798076152801514,
0.24373041093349457,
0.8198234438896179,
-0.7970583438873291,
-0.36412450671195984,
0.6217931509017944,
-0.7138082385063171,
-0.0809851884841919... |
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: Baguet -- 18 .
A: | Baguet: B-PER | 4 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | zs_opt | [
-0.05033474415540695,
0.039263755083084106,
-0.06778612732887268,
-0.3449617624282837,
-0.3911101222038269,
-0.4609324038028717,
1.180632472038269,
-0.2540583610534668,
0.7092447280883789,
-0.22103655338287354,
-0.9361361861228943,
0.3062075674533844,
-0.21004651486873627,
-0.1642047464847... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
One example: But if the shares belong to Geoffrey Charles, well, then George cannot touch them.
Solution is here: لكن لو كانت الأسهم بإسم جوفري تشارلز لن يمكن لجورج المساس بهم.
Explanation: This is a good example. The above sentence is correctly translated from English to Arabic.
Now, solve this: A national plan for combating human trafficking had been devised to build capacity in the local public services, with the help of the education and social work sectors.
Solution: | وأضافت قائلة إنه قد جرى وضع خطة وطنية لمكافحة الاتجار بالبشر وذلك من أجل بناء القدرة في الإدارات العامة المحلية بمساعدة من قطاع التعليم وقطاع العمل الاجتماعي. | 6 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
0.1383243203163147,
0.4098501205444336,
0.1269417703151703,
-1.322439193725586,
0.2001577913761139,
-0.13634341955184937,
0.6304647922515869,
0.06711524724960327,
0.003115687984973192,
-0.3687095046043396,
-0.30447515845298767,
0.4284489154815674,
-0.7570939064025879,
-0.5891175866127014,
... |
Definition: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Input: BACKGROUND DNA replication and mitosis are triggered by activation of kinase complexes, each made up of a cyclin and a cyclin-dependent kinase (Cdk). It had seemed possible that the association of Cdks with different classes of cyclins specifies whether S phase (replication) or M phase (mitosis) will occur. The recent finding that individual B-type cyclins (encoded by the genes CLB1-CLB6) can have functions in both processes in the budding yeast Saccharomyces cerevisiae casts doubt on this notion.
RESULTS S. cerevisiae strains lacking C1b1-C1b4 undergo DNA replication once but fail to enter mitosis. We have isolated mutations in two genes, SIM1 and SIM2 (SIM2 is identical to SEC72), which allow such cells to undergo an extra round of DNA replication without mitosis. The Clb5 kinase, which promotes S phase, remains active during the G2-phase arrest of cells of the parental strain, but its activity declines rapidly in sim mutants. Increased expression of the CLB5 gene prevents re-replication. Thus, a cyclin B-kinase that promotes DNA replication in G1-phase cells can prevent re-replication in G2-phase cells. Inactivation of C1b kinases by expression of the specific C1b-Cdk1 inhibitor p40SIC1 is sufficient to induce a prereplicative state at origins of replication in cells blocked in G2/M phase by nocodazole. Re-activation of C1b-Cdk1 kinases induces a second round of DNA replication.
CONCLUSIONS We propose that S-phase-promoting cyclin B--Cdk complexes prevent re-replication during S, G2 and M phases by inhibiting the transition of replication origins to a pre-replicative state. This model can explain both why origins 'fire' only once per S phase and why S phase is dependent on completion of the preceding M phase.
Output: | S-phase-promoting cyclin-dependent kinases prevent re-replication by inhibiting the transition of replication origins to a pre-replicative state | 2 | NIv2 | task1586_scifact_title_generation | zs_opt | [
0.3274148404598236,
0.30535972118377686,
-0.5390826463699341,
-0.16250446438789368,
0.18128953874111176,
-0.371298223733902,
0.3985682725906372,
0.8399842381477356,
0.14662444591522217,
0.15469209849834442,
-0.2903483808040619,
0.27515825629234314,
-0.6524662375450134,
0.4801103472709656,
... |
Given the task definition and input, reply with output. You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
وقد كان هذا أكثر بثلاث دقائق مما كنت قد تدربت عليه
| Que son tres minutos más de lo que yo me había estado preparando. | 5 | NIv2 | task1232_ted_translation_ar_es | zs_opt | [
-0.405546635389328,
0.6832879781723022,
0.18569345772266388,
-0.5968105792999268,
-0.4318692088127136,
0.3115888237953186,
0.4201962649822235,
0.5048877000808716,
0.326854944229126,
-0.9261994957923889,
-0.814764142036438,
0.28226444125175476,
-0.3335893154144287,
0.1178436130285263,
0.8... |
Q: 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.
Comment: Yep roy posts 300-400
Comments a day. Trump derangement syndrome is what it is. The chump is so upset over the trumpster his mind is blowing up. What a fun guy. Feel sorry for his relatives.
A: | Non-threat | 7 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.8669970631599426,
0.4079776704311371,
0.9413675665855408,
0.5870561599731445,
-0.2045159786939621,
-0.3010615110397339,
1.1041518449783325,
0.909377932548523,
0.20152665674686432,
-0.046369768679142,
-0.4401327967643738,
0.5242671370506287,
-0.6228643655776978,
-0.3189821243286133,
-0... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
See one example below:
Problem: Con el crecimiento, los países y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente, de oportunidad y mejores niveles de vida.
Solution: With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.
Explanation: The Spanish sentence is correctly translated into English, because the meaning is preserved.
Problem: Son muy caros.
Solution: | They're very expensive. | 4 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.5742763876914978,
0.593854546546936,
0.16544361412525177,
-0.2897826135158539,
-0.13672909140586853,
0.07527752965688705,
-0.16492995619773865,
1.07699716091156,
-0.24967089295387268,
-0.008574175648391247,
-0.4660426080226898,
0.33665645122528076,
-0.916110634803772,
-0.314250648021698... |
In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
Bulgarian: Условия за достъп до газопреносни мрежи (, English: Conditions for access to the natural gas transmission networks ( | yes | 0 | NIv2 | task273_europarl_classification | zs_opt | [
-0.3146362900733948,
0.2971286475658417,
0.5778733491897583,
-0.14089636504650116,
0.22969062626361847,
-0.5470756888389587,
0.8541759252548218,
0.5138375163078308,
0.2884345054626465,
0.16309723258018494,
-0.7848392128944397,
0.36644577980041504,
-0.43022751808166504,
-0.10163232684135437... |
Definition: 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.
Input: Fact 1: Cartilage is a tough tissue that contains a protein called collagen.
Fact 2: Membranes attached to the cricoid cartilage .
Output: | Cricoid is a tough tissue that contains a protein called collagen. | 2 | NIv2 | task038_qasc_combined_fact | zs_opt | [
0.4228286147117615,
0.5166573524475098,
-0.5521590113639832,
-0.21049098670482635,
-0.5025578737258911,
-0.6826024651527405,
-0.146722674369812,
0.8534840941429138,
-0.4044340252876282,
-0.10530485212802887,
-0.8454557061195374,
0.32117772102355957,
-0.5266693830490112,
0.2828444540500641,... |
Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the given paragraph.
--------
Question: Paragraph- Sent 1: When land is cleared, habitats are lost.
Sent 2: It may be cleared for agriculture.
Sent 3: It may also be used for building new homes or businesses.
Sent 4: Within the past 100 years, the amount of land used for agriculture has almost doubled.
Sent 5: Land used for grazing cattle has more than doubled.
Sent 6: Many wetlands have also been lost to agriculture.
Sent 7: The U.S. has lost almost all the natural tall-grass prairies.
Sent 8: Thee areas of tall thick grass have virtually disappeared.
Sent 9: These areas of land had thick fertile soil.
Sent 10: Their grasses had very deep root systems.
Sent 11: These deep and thick roots reduced the amount of soil erosion.
Sent 12: They also were home to many plants and animals.
Sent 13: Prairies were wonderful places.
Sent 14: They were home to colorful flowers, prairie dogs, and herds of bison.
Question: What are the advantages of tall grass prairies?.
Answer: Less erosion.
Question: Paragraph- Sent 1: Growing up on a farm near St. Paul, L. Mark Bailey didn't dream of becoming a judge.
Sent 2: Even when he graduated from North Decatur High School in 1975, sitting on the bench someday seemed more like a leisurely activity than a career.
Sent 3: Somewhere along the line, all of that changed.
Sent 4: Bailey received his bachelor's degree from the University of Indianapolis in 1978 and a jurisprudence doctorate from Indiana University-Indianapolis in 1982.
Sent 5: After several years of private practice from 1982-90, he became the judge of Decatur County Court for a year.
Sent 6: The Indiana legislature renamed that judgeship and Bailey was tabbed Decatur Superior Court judge from 1992-98, winning reelection twice.
Sent 7: From there, his career continued on the fast track and Bailey was appointed by Gov. Frank O'Bannon to sit on the Indiana Court of Appeals First District, where he works today.
Sent 8: Despite his quick climb up the legal ladder, Bailey has always found time to help out in causes he feels strongly about.
Sent 9: It was for his dedication to the law and the people that are affected by it that he was recently recognized.
Sent 10: The Indiana Pro Bono Commission hosted its annual celebration event, the Randall T. Shepard Dinner, at French Lick Springs Spa in October.
Sent 11: More than 100 judges, lawyers and dignitaries were present for the gathering.
Sent 12: One of the highlights of the event was the presentation of the first-ever Randall T. Shepard award for excellence in pro bono work.
Sent 13: Bailey received the award for his three years of volunteer work at Indiana Pro Bono Commission.
Sent 14: The award was named after the chief justice of the Indiana Supreme Court to honor his statewide vision on justice.
Sent 15: The qualifications for the award were based upon demonstrated dedication to the innovative development and delivery of legal services to the poor in one of the 14 pro bono districts of Indiana.
Sent 16: "This award came as a real surprise to me.
Sent 17: It is truly an honor.
Sent 18: Just being the first chair of the commission which began the implementation of the pro bono process was somewhat humbling.
Question: Before being appointed to the state Supreme court, what court did her preside over?.
Answer: Decatur County Court.
Question: Paragraph- Sent 1: { { Plot } } Tom plays pool in a deserted pool hall , pocketing two balls by lowdown means and then wakes Jerry up by shooting the 10-ball into the pocket where he is sleeping .
Sent 2: Jerry awakes just in time to avoid the 10-ball and is carried out to the ball return , where the 10 and the 13 smash the mouse between each other .
Sent 3: Jerry is mad and walks up through the pocket , first sees nothing , but after a few steps back to the pocket , he spots Tom perched behind it .
Sent 4: Jerry tries to jump into another corner pocket , but Tom aims a cue ball with so much force that it roll's into the pocket , and spins back out of it and it rolls Jerry backwards to Tom , who has made a ramp with his cue stick for the mouse to slide up .
Sent 5: Jerry stops at the top of the stick and is then blown down by Tom , who then shoots a stream of balls to make the mouse flat .
Sent 6: The whole train rebounds back towards the cat and the balls stack up at Tom's end of the table .
Sent 7: Tom shoots all the balls in succession with his cue , and then tries to shoot Jerry , but the mouse hangs onto the cue tip .
Sent 8: The cat , as if he were saying `` Have it your way '' , chalks up and shoots the 8-ball using Jerry .
Sent 9: The mouse drops off the cue tip and then is upended by the 8-ball rolling in circles , and Tom forces Jerry to jump through the ball rack as if he were a circus performer .
Sent 10: Tom then sets it on fire to add an additional level of torment , and when Jerry accomplishes this with poise , Tom discards the flaming rack and shoots the 8-ball across the table and back .
Question: What does Tom do when Jerry spots him and tries to Jump?.
Answer: | Shoots a cue ball at him.
| 7 | NIv2 | task054_multirc_write_correct_answer | fs_opt | [
-0.06920424103736877,
0.179733008146286,
-0.6722308397293091,
0.24253039062023163,
0.16243314743041992,
-0.8758435845375061,
0.31517359614372253,
1.0322918891906738,
-0.5654628276824951,
-0.13328996300697327,
-0.9574493169784546,
0.45336824655532837,
-1.0653564929962158,
0.1399950683116912... |
In this task, you are given one French sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into English.
One example: La LGV est très rare en Europe.
Solution is here: LGV is very rare in Europe.
Explanation: The translation is correct
Now, solve this: THÈMES ASSOCIÉSEN SAVOIR PLUS SUR CE SITEEUROSURVEILLANCETHÈMES DE SANTÉ DE A À ZTHÈMES DE SANTÉ ASSOCIÉS
Solution: | RELATED TOPICSREAD MORE ON ECDC SITEEUROSURVEILLANCEHEALTH TOPICS A-ZRELATED HEALTH TOPICS | 6 | NIv2 | task1397_europa_ecdc_tm_fr_en_translation | fs_opt | [
-0.39711570739746094,
0.49410301446914673,
0.38525211811065674,
-0.5593610405921936,
0.2672184705734253,
0.2842280864715576,
0.20953352749347687,
-0.4353678822517395,
-0.050555892288684845,
-0.37471282482147217,
-0.3018357753753662,
0.26322096586227417,
-0.531592845916748,
0.30562317371368... |
Q: 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".
W: The seminar originally scheduled for today has been cancelled. The hours I've spent preparing for it are totally wasted. M: Not really. As far as I know it's been postponed till next week.
A: | What does the man say about the seminar? (A) It will be held in a different place, (B) It has been put off. (C) It has been cancelled. | 7 | NIv2 | task246_dream_question_generation | zs_opt | [
0.36725181341171265,
0.4580569267272949,
-0.01717214100062847,
-0.9925134778022766,
0.09545911848545074,
0.0029484033584594727,
0.5430781841278076,
0.5349339246749878,
0.3499230444431305,
-0.304278701543808,
-0.4864729344844818,
0.2896413207054138,
0.2142045795917511,
-0.03762446716427803,... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: આ તમામ પરિયોજનાઓ કેટલાંક રાજ્યોમાં પથરાયેલી છે, જેમાં આંધ્રપ્રદેશ, અસમ, ગુજરાત, દિલ્હી, હરિયાણા, તામિલનાડુ, ઓડિશા, કર્ણાટક, પંજાબ, ઉત્તરપ્રદેશ અને ઉત્તરાખંડ સામેલ છે.
A: | ఈ పథకాలు ఆంధ్ర ప్రదేశ్, అసమ్, గుజరాత్, ఢిల్లీ, హరియాణా, తమిళ నాడు, ఒడిశా, కర్నాటక, పంజాబ్, ఉత్తర్ ప్రదేశ్, మరియు ఉత్తరాఖండ్ లు సహా అనేక రాష్ట్రాలలో వ్యాపించివున్నాయి. | 9 | NIv2 | task1013_pib_translation_gujarati_telugu | zs_opt | [
-0.3056437373161316,
0.5555576682090759,
0.4566761255264282,
-0.7430793046951294,
-0.18136999011039734,
-0.8973466157913208,
0.1046561449766159,
0.10850590467453003,
-0.215164452791214,
0.09764283895492554,
-0.3691357374191284,
0.04760722443461418,
-0.1911512017250061,
0.32697921991348267,... |
Detailed Instructions: You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your question. Avoid repeating the same style, pattern, or phrases in each question, try to increase diversity by varying sentence structure, blank placement, etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Person X and Person Y have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Problem:Context Word: Girlfriend.
Solution: | PersonX was envious of PersonY s girlfriend because _ 's girlfriend was so ugly in comparson. | 8 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.14372530579566956,
0.9228243827819824,
0.12960185110569,
-0.4689299464225769,
0.044887080788612366,
-0.16753707826137543,
0.47273561358451843,
0.6255441904067993,
0.03565496951341629,
-0.43160387873649597,
-0.16514188051223755,
-0.46816760301589966,
-0.21706736087799072,
0.10747191309928... |
Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
--------
Question: Ang Uklayn, ang panig ng Europa na nasa pinakamataas na ranggo sa labanan, ay pumasok sa paligsahan nang magtapos na ikalawa sa Intercontinental Cup noong unang bahagi ng taon kung kailan natalo nila ang Russia, Slobenia, Brasil at Britanya.
Answer: ウクライナは、競技においてはヨーロッパでトップにランクしており、この年の初期に開かれたインターコンチネンタルカップでは、ロシア、スロベニア、ブラジル、イギリスを負かし、2位になり、トーナメント戦に入った。
Question: Ang pagtuklas ay ginawa sa pamamagitan ng pag-aaral sa isang genetikong sakit sa mga daga na humaharang sa insulin na sumisenyas sa utak.
Answer: この発見は脳のインシュリン信号を阻害するラットの遺伝子異常の研究によってなされた。
Question: Hindi nagtagal, nagpadala ang UN ng isang patrol para sunduin ang tauhan na naiwan.
Answer: | 後に、国連は取り残された職員を迎えにパトロール隊を送った。
| 7 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
-0.3829862177371979,
0.17337444424629211,
-0.4138839840888977,
-0.5599192380905151,
-0.11724887043237686,
-0.018673235550522804,
0.7398999929428101,
-0.05989176779985428,
-0.37119728326797485,
-0.7759875059127808,
-0.5734216570854187,
1.0938992500305176,
-0.9607527256011963,
0.750463068485... |
Given a scientific question, generate a correct answer to it.
Let me give you an example: Who proposed the theory of evolution by natural selection?
The answer to this example can be: darwin
Here is why: This is a direct fact that Charles Darwin proposed the theory of evolution.
OK. solve this:
The nervous system is made up of these?
Answer: | neurons | 8 | NIv2 | task591_sciq_answer_generation | fs_opt | [
0.044723790138959885,
0.21337321400642395,
-0.1978110373020172,
0.015187599696218967,
-0.42429232597351074,
-0.6301906108856201,
0.5844993591308594,
0.5781004428863525,
0.3271690607070923,
-0.11831804364919662,
-0.3188536763191223,
-0.29654550552368164,
-1.5440388917922974,
-0.249413311481... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
--------
Question: भूगर्भीय गतिविधि 632.9 किलोमीटर की गहराई पर हुई।
Answer: The telluric movement took place at a depth of 632.9 kilometers.
Question: इंटर मिलान ने एक बयान में पुष्टि की कि लंदन पर हुए हमलों ने क्लब को इंग्लैंड के अपने दौरे को रद्द करने के लिए मजबूर किया, यह कहते हुए कि: "गंभीर घटनाओं के बढ़ने के कारण फुटबॉल एक कदम पीछे लेता है जो सभी की संवेदनशीलता को छूता है।"
Answer: Inter Milan confirmed in a statement that the attacks on London compelled the club to cancel their tour of England, saying that: "Football takes a step back because of increasing serious events which touch the sensitivity of everyone."
Question: पहले विस्फोट के बाद, मंगलवार की रात कैम्ब्रिज में एडेनब्रुक के अस्पताल में, मारूसिया द्वारा एक प्रेस विज्ञप्ति में बताया गया था कि उसने अपनी दाहिनी आंख खो दी थी और स्थिति अभी भी "गंभीर लेकिन स्थिर" थी।
Answer: | After the first, overnight on Tuesday at Addenbrooke's Hospital in Cambridge, it was reported in a press release by Marussia that she had lost her right eye, and was still in a "critical but stable" condition.
| 7 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
0.3993992209434509,
0.1265074759721756,
0.1835632473230362,
0.08920279145240784,
0.3312765955924988,
-0.4119953513145447,
-0.6299450993537903,
-0.18368014693260193,
-0.18005739152431488,
-0.35532820224761963,
-0.20739415287971497,
0.29013559222221375,
-0.3883976936340332,
0.135790109634399... |
Definition: In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
Input: کنستانتین، چهارمین پسر امپراتور بیزانس مانوئل دوم از همسر صربتبارش هلنا دراگاش (از دودمان مقدونیایی دراگاش) بود. او کارش در عرصهٔ سیاست را در کنار برادرانش تئودور و توماس و با فرمانداری دسپوتاتِ موریا (پِلوپونز امروزی) آغاز نمود. هنگامی که برادرش ژان هشتم، امپراتور وقت بیزانس بدون آنکه فرزندی داشته باشد در ۱۴۴۸ درگذشت، بر سر جانشینی او بین کنستانتین و دیگر برادرش دمتریوس اختلاف افتاد. امپراتریس هلنا که در این میان نقش نایبالسلطنه را داشت از کنستانتین حمایت کرد و آنها از مراد دوم، سلطان عثمانی خواستند تا در این مورد حکمیت نماید. او نظرش بر کنستانتین افتاد و بدین ترتیب کنستانتین با نام کنستانتین یازدهم در ژانویهٔ ۱۴۴۹ بهعنوان امپراتور جدید بیزانس در میسترا تاجگذاری کرد. کنستانتین فردی شجاع و پرانرژی بود که میراثی ویران را دریافت داشته بود. در ۱۴۵۱ محمد دوم سلطان جدید عثمانی شد و تمام منابع خود را برای تصرف قسطنطنیه بهکار گرفت.
Question: ژان در چه شرایطی مرد؟
Output: | بدون آنکه فرزندی داشته باشد | 2 | NIv2 | task395_persianqa_answer_generation | zs_opt | [
0.4210105240345001,
0.8077341318130493,
-0.3321480453014374,
-0.2518500089645386,
-0.7175780534744263,
0.34940314292907715,
0.053231339901685715,
0.6189485192298889,
0.39125561714172363,
-0.18176141381263733,
-0.43843701481819153,
0.48859062790870667,
-0.23760294914245605,
0.34352731704711... |
TASK DEFINITION: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.
PROBLEM: User: Find information related to Hamlet\'s famous \"To be or not to be\" soliloquy.
Computer: are you interested in shakespeares plays
SOLUTION: no
PROBLEM: User: Find a description of the USDA food pyramid.
Computer: are you interested in the history of the usda food pyramid
SOLUTION: no i am just interested in the description of the usda food pyramid
PROBLEM: User: Find information and reviews about The Secret Garden book by Frances Hodgson Burnett, as well as movies and the musical based on it.
Computer: in what country is the secret garden located
SOLUTION: | no i want to know about the broadway musical of the sleeping garden
| 8 | NIv2 | task1714_convai3_sentence_generation | fs_opt | [
0.28552043437957764,
0.7062246799468994,
-0.3421252369880676,
-0.060920849442481995,
-0.18009856343269348,
-0.005337506532669067,
1.2105317115783691,
0.18283846974372864,
0.4706084728240967,
0.15868687629699707,
-0.06716061383485794,
-0.12338176369667053,
-0.8509752750396729,
-0.3307248950... |
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.
One example: This is my go to place to get the best chicken Pad Thai! Also the price is super good, considering most places have high prices and poor quality. Love this place, its definitely a top 5 fav for take out.
Solution is here: POSITIVE
Explanation: The overall sentiment of the review is positive. Hence, the label is 'POSITIVE'.
Now, solve this: It is very hard to find good Vietnamese food in Chandler. I have tried them all and they all pretty much suck!! However I tried this one and it was exceptional. The pho is better then any where else in the area however still nothing special. But the bun bo hue is awesome. Probobaly the best I have ever had in a restaurant. The banh cuon is very good also. The bun tung nuong is also very good. So I have given up on trying to find good pho in the valley and will stick with bun bo hue at pho viet nam
Solution: | POSITIVE | 6 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-1.2253386974334717,
-0.3803214430809021,
0.1429920643568039,
0.04639413580298424,
0.45677435398101807,
-0.8584665656089783,
0.30219921469688416,
1.398275375366211,
-0.03908369690179825,
0.06665468215942383,
0.046032413840293884,
0.5534130334854126,
-0.54280686378479,
0.36623942852020264,
... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Example Input: Dialogue 1: 'why are you ashamed coz you cant coz you are just an ai u is blaming everyone but they set examples wht is your ideak'. Dialogue 2: 'u can ask me why should i u should'.
Example Output: yes
Example Input: Dialogue 1: 'm not fine so very glad to hear you are fine no m not fine'. Dialogue 2: 'i'm very boring person wut you are an interesting person don't say that but every one say that i'm boring'.
Example Output: yes
Example Input: Dialogue 1: 'your favourite one please beauty and the beast yeah i love that movie'. Dialogue 2: 'what pretty much my reaction too my gilfriend left me'.
Example Output: | no
| 3 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.14230170845985413,
0.30697235465049744,
0.3685142993927002,
-0.34819936752319336,
0.014916975982487202,
-0.2683280110359192,
1.1445375680923462,
0.26827773451805115,
0.03462029993534088,
-0.38297080993652344,
-0.13136310875415802,
-0.4613533616065979,
-0.6678667664527893,
-0.07072836160... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
It carried out a consultation process, presented a green paper and a white paper, and undertook in-depth discussions with all those involved in the market.
| Комисията проведе консултация, представи Зелена книга и Бяла книга и започна задълбочена дискусия със заинтересованите страни. | 5 | NIv2 | task272_europarl_translation | zs_opt | [
-0.8002333641052246,
0.6933627128601074,
0.2441961020231247,
-0.39488688111305237,
-0.06015068292617798,
0.41835856437683105,
0.5850933790206909,
-0.01906418241560459,
0.7563549280166626,
-0.45335641503334045,
-0.17979979515075684,
1.2083393335342407,
-0.18482348322868347,
0.27944239974021... |
In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
['V', '7443', '7007', 'E', 'k', 'q', '909', 'X', '6217', '1771', '5615', 'C', 'A', 'U', 'd', '9217', 'd', 'N', '6733'] | V, E, k, q, X, C, A, U, d, d, N | 0 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
-0.35871830582618713,
1.0278513431549072,
-0.5277957320213318,
-0.27845627069473267,
-0.6657793521881104,
-0.24876756966114044,
0.9823722839355469,
-0.42903125286102295,
0.13622316718101501,
0.20256657898426056,
0.10591153055429459,
-0.45946449041366577,
-0.12059471011161804,
0.01435598451... |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the ending, and use names instead of pronouns (e.g. he / she) wherever possible.
One example is below.
Q: Beginning: Helen lived in the state of Washington. Middle: Helen planned to drive to Canada but it started snowing heavily.
A: Helen stayed home instead and planned to go another day.
Rationale: Generally, people prefer not to drive in bad weather.
Q: Beginning: I stroked the paintbrush across the canvas. Middle: Following my thoughts, I continued with different colors.
A: | When I looked at my creation I was proud. | 9 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
-0.215302973985672,
0.6081045866012573,
0.191177099943161,
-0.6750799417495728,
-0.5166547298431396,
-0.11547879874706268,
0.5100564956665039,
0.6718378067016602,
-0.18298590183258057,
-0.24364593625068665,
-0.6792685389518738,
0.39671337604522705,
0.07337910681962967,
-0.10403767973184586... |
Detailed Instructions: In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
See one example below:
Problem: Text: quick backstory: i am a duel enrollment student (still in high school but goes to college full-time) and don't have my license so i bike home.
now let's get to the fuck up. i was riding down the sidewalk and up ahead was a golf cart blocking the way. the man who was using kindly moved it out of my so i could get past. as i go by, i give him the nod and say "thank you" just to be courteous. well he didn't really give me that much space so as i was saying thank you, my goes into the grass and i quickly try to readjust, resulting in my tire hitting the side of the sidewalk and me falling off my bike. i looked like a complete dumbass and just laughed to myself and kept riding. luckily, i don't take myself too seriously, so i wasn't that embarrassed.
Solution: said thank you, fell off my bike.
Explanation: This summary is appropriate for the given text post because the focus of this post is about a humorous situation caused by "thanking someone and later falling off from the bike".
Problem: Text: tifu thinking it was all happinness and sprinkles while i was listening to karate by kennedy on my way to emailing a funny ig page that accepts money to promotions, i am no expert in promotions as i am just 15 or what picture to use so i just grabbed a random image of my apparel that i was selling on my website, emailed the guy & paid him. he posts the picture to all his 215k followers and whatnot. i was filled with joy and happiness and how i was gunna gain a shitload of followers & sell so kmuch shit that i wouldnt know what to do eith the money. well that suddenly turned into a nightmare when people started commenting "what arrre thooose" on the promo pic.
edit: typed,on my phone, sorry for misspells you grammar nazis
Solution: | i wasted $40 on a promo, got laughed at, & my apparel was said to look like a trash bag followed by "whaat are thoose" 150+ comments, only gained 15 followers. | 4 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
-0.07817953824996948,
0.4433000087738037,
-0.07796472311019897,
-0.3521696925163269,
0.4427691102027893,
-0.47925519943237305,
0.671518862247467,
0.8419423699378967,
0.19968703389167786,
0.09233970195055008,
-0.5234336256980896,
0.5344664454460144,
-0.6523650884628296,
-0.22879579663276672... |
In this task, you need to reverse the order of words in the given sentence.
[Q]: Sentence: a couple of giraffe standing in a forest next to trees
[A]: trees to next forest a in standing giraffe of couple a
[Q]: Sentence: man sitting at a picnic table near the beach with his lunch
[A]: lunch his with beach the near table picnic a at sitting man
[Q]: Sentence: the food is cooked and ready to be eaten
[A]: | eaten be to ready and cooked is food the
| 5 | NIv2 | task376_reverse_order_of_words | fs_opt | [
0.09033884853124619,
0.7772225141525269,
-0.31474050879478455,
-1.4192793369293213,
-0.790304958820343,
-0.6903728246688843,
0.8006002306938171,
0.1791929006576538,
0.6226236820220947,
-0.6909040212631226,
-0.29567188024520874,
-0.4354630708694458,
-0.8648519515991211,
0.18391677737236023,... |
Detailed Instructions: In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Problem:Context: A municipality is usually a single urban administrative division having corporate status and powers of self-government or jurisdiction as granted by national and state laws, to which it is subordinate. It is to be distinguished from the county, which may encompass rural territory and/or numerous small communities such as towns, villages and hamlets. The term "municipality" may also mean the governing or ruling body of a given municipality. A municipality is a general-purpose administrative subdivision, as opposed to a special-purpose district. The term is derived from French "municipalité" and Latin "municipalis"., Northern Italy is a cultural and geographical region, without any administrative purpose, used to indicate the northern part of the Italian state, also informally referred as "Il Nord", "Settentrione" or "Alta Italia". It consists of 8 regions in northern Italy: Aosta Valley, Piedmont, Liguria, Lombardy, Emilia-Romagna, Veneto, Friuli-Venezia Giulia, Trentino-Alto Adige/Südtirol. According to the 2011 census, its population was 27,213,372. For statistic purposes, the Istituto Nazionale di Statistica (ISTAT) uses the term Northwest Italy and Northeast Italy for identifying two of the five statistical regions in its reporting. These same subdivisions are used to demarcate first level Nomenclature of Territorial Units for Statistics (NUTS) regions ("NUTS 1 regions") within the European Union, and the Italian constituencies for the European Parliament., The Province of Modena is a province in the Emilia-Romagna region of Italy. Its capital is the city of Modena., Sassuolo is an industrial centre of the Emilia - Romagna region of Italy . The town stands on the right bank of the river Secchia some 17 kilometres ( 11 mi ) southwest of Modena ., The (plural: "") is a basic administrative division in Italy, roughly equivalent to a township or municipality., The Secchia (called by Pliny "Gabellus") is an Italian river. One of the main right bank tributaries of the Po, it flows through the Emilia-Romagna region in northern Italy., Emilia-Romagna (, Romagnol: "Emélia-Rumâgna") is an administrative Region of Northeast Italy, comprising the historical regions of Emilia and Romagna. Its capital is Bologna. It has an area of , and about 4.4 million inhabitants., Bologna (; ) is the largest city (and the capital) of the Emilia-Romagna Region in Northern Italy. It is the seventh most populous city in Italy, located in the heart of a metropolitan area (officially recognized by the Italian government as a "città metropolitana") of about one million., The Po Valley, Po Plain, Plain of the Po, or Padan Plain (, "Val Padana or Padania") is a major geographical feature of Italy. It extends approximately in an east-west direction, with an area of including its Venetic extension not actually related to the Po river basin; it runs from the Western Alps to the Adriatic Sea. The flatlands of Veneto and Friuli are often considered apart since they do not drain into the Po, but they effectively combine into an unbroken plain., Northeast Italy (or just ) is one of the five official statistical regions of Italy used by the National Institute of Statistics (ISTAT), a first level NUTS region and a European Parliament constituency. Northeast encompasses four of the country's 20 regions:, Romagna (Romagnol: "Rumâgna") is an Italian historical region that approximately corresponds to the south-eastern portion of present-day Emilia-Romagna. Traditionally, it is limited by the Apennines to the south-west, the Adriatic to the east, and the rivers Reno and Sillaro to the north and west. The region's major cities include Cesena, Faenza, Forlì, Imola, Ravenna, Rimini and City of San Marino (San Marino is a landlocked state inside the Romagna historical region). The region has been recently formally expanded with the transfer of seven comuni (Casteldelci, Maiolo, Novafeltria, Pennabilli, San Leo, Sant'Agata Feltria, Talamello) from the Marche region, which are a small number of comuni where Romagnolo dialect is spoken.
Etymology.
The name "Romagna" comes from the Latin name "Romània", which originally was the generic name for "land inhabited by Romans", and first appeared on Latin documents in the 5th century.
It later took on the more detailed meaning of "territory subjected to Eastern Roman rule", whose citizens called themselves Romans ("Romani" in Latin; "Romàioi" in Greek).
Thus the term "Romània" came to be used to refer to the territory administered by the Exarchate of Ravenna in contrast to other parts of Northern Italy under Lombard rule, named "Langobardia" or "Lombardy".
"Romània" later became "Romandìola" in Vulgar Latin, meaning "little Romània", which became "Romagna" in modern times.
History.
Prehistory.
A number of archaeological sites in the region, such as Monte Poggiolo, show that Romagna has been inhabited since the Paleolithic age., Modena (Etruscan: "Mutna" Modenese: "Mòdna") is a city and "comune" (municipality) on the south side of the Po Valley, in the Province of Modena in the Emilia-Romagna region of northern Italy., Subject: sassuolo, Relation: located_in_the_administrative_territorial_entity, Options: (A) aosta (B) aosta valley (C) basin (D) bologna (E) cesena (F) district (G) east (H) european union (I) forlì (J) italy (K) modena (L) most (M) nord (N) northern (O) northwest (P) of (Q) plain (R) po (S) province of modena (T) river (U) san marino (V) south (W) union (X) west
Solution: | province of modena | 8 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.6242045164108276,
0.5315341949462891,
0.19096031785011292,
0.6224364638328552,
0.6508758068084717,
-0.6832244396209717,
0.728827714920044,
1.2743337154388428,
0.22996285557746887,
0.13773323595523834,
0.10967905074357986,
0.8951307535171509,
-0.5000066757202148,
-0.13620534539222717,
0... |
In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
One example: Tracy slept awkwardly on their new bed and was having some pain, so Tracy cracked her neck.
Solution is here: What did Tracy do with her neck?
Explanation: The question asked is relevant and can be directly answered by referring to the phrase "so Tracy cracked her neck" from the passage.
Now, solve this: I was bored and wanted to play a game. The weather was very nice outside, so I decided to play tennis in the park with a friend. I put on my running shoes since I would be running around a lot on the tennis court. Sandals would not have been safe to run that much in. I brought my tennis racket and some tennis balls to the park and met my friend there. We went into the court and each picked a side of the court. I was on the left side of the net and my friend was on the right. It was my turn to serve, so I threw the ball I was holding up and hit it over the net. The ball bounced on the floor past the net and my friend hit the ball back to me. I was fast and jumped up to hit the ball before it hit the floor. The ball whizzed past my friend and he could not hit it back. I scored a point. I won the game a few minutes later after we hit the ball back and forth some more.
Solution: | Who won the game? | 6 | NIv2 | task596_mocha_question_generation | fs_opt | [
0.19017712771892548,
1.0322725772857666,
-1.3077503442764282,
0.7370556592941284,
-0.11595974862575531,
-0.3609086275100708,
0.8758967518806458,
0.4553864002227783,
0.5408584475517273,
-0.3154939115047455,
-0.5735208988189697,
0.7427192330360413,
-0.8361896276473999,
0.24368888139724731,
... |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) original network, 15) parent company, 16) point in time, 17) production company, 18) residence, 19) series, 20) service entry, 21) sex or gender, 22) spouse, 23) standards body question.
Let me give you an example: Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern Cuban Guitar School.
Question : What was Isaac Nicola's city of birth?
The answer to this example can be: place of birth
Here is why: The question is about the place of birth of the Isaac Nicola. Hence the output is relevant and valid
OK. solve this:
Context : Sunday Feast was a short-lived cookery show on British television channel ITV.
Question : Which channel broadcast Sunday Feast?
Answer: | original network | 8 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.38641881942749023,
0.2496478408575058,
0.032892752438783646,
-0.4845949411392212,
0.4810416102409363,
0.9238353371620178,
0.3916594386100769,
0.9131431579589844,
-0.12749777734279633,
-0.164758563041687,
0.7607848644256592,
0.4691910743713379,
-1.4401885271072388,
0.11878980696201324,
... |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].
Fraud, Feds top concerns as CSOs meet in New York NEW YORK - The explosive growth in online fraud and the impact of tough new federal regulations were on the minds of information security executives who gathered in New York Tuesday for the second annual CSO Interchange, a gathering of chief security officers (CSOs). | Sci/Tech | 0 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.558303713798523,
0.13697724044322968,
-0.7298459410667419,
0.675503134727478,
0.05612894892692566,
0.19164802134037018,
-0.46931105852127075,
-0.05820654332637787,
0.28842389583587646,
0.3096798062324524,
-0.3647613525390625,
0.07760785520076752,
-0.22505754232406616,
-0.295256078243255... |
TASK DEFINITION: In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting 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 reverse first and then concatenate.
PROBLEM: 7, 22, ['3371', '4741', 's', '7429', 'z', '639', 'Q', '5679', 'e', '8039', '5323', 'C', '2901', '7629', 'D', 'y', 'C', '4333', 'P', 'v', 'A', '8171']
SOLUTION: 1718AvP3334CyD92671092C32359308e9765Q
PROBLEM: 14, 18, ['685', 'F', 'O', 'A', '1179', '5015', '4467', 'O', 'q', 'i', '4613', 't', '5519', '411', 'J', 'U', 'O', 'u', '6281', '3915', 'u', '1883', 'h', 'Z', 'p', 'T', '9131', '2625']
SOLUTION: uOUJ114
PROBLEM: 2, 8, ['9691', 'u', 'o', '4027', 'q', '7799', 'v', '6433', '6817', 'u', 'w', 'Z']
SOLUTION: | 3346v9977q7204ou
| 8 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
0.3179801106452942,
0.21644490957260132,
-0.7164808511734009,
-0.4130339026451111,
-0.20566701889038086,
0.4303979277610779,
0.67884361743927,
0.24360531568527222,
-0.3593742847442627,
-0.1098683774471283,
-0.8604831695556641,
0.15397807955741882,
-0.17189687490463257,
-0.1260998547077179,... |
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