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 |
|---|---|---|---|---|---|---|
TASK DEFINITION: In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabets are Tied'.
PROBLEM: ['6779', '6787', '3605', 'a', 'd', 'J', '6253', 'j', 'X', 'f', 'z', 'y', 'E', 'H', 'J', '1177', 'w', 'k', 'r', '5025', 'o', 'R', 'S', 'R', '6223', 'w', 'T', 'I', 'w', '947', '5117', 'u', '2627', '671', 'u', '1599', '9793', 'q']
SOLUTION: Alphabets Win
PROBLEM: ['1423', 'j', 'R', '1875', '9025', '167', '9091', '2063', '3505', 'S', '6337', 'Y', 'j', 'Q', '1493', 'B']
SOLUTION: Numbers Win
PROBLEM: ['O', '3203', '667', 'J', '2753', '9109', '6949', 's', 'i', 'O', 'm', 'S', '2025', 'R', '5185', '3889', 'R', 'r', 'V']
SOLUTION: | Alphabets Win
| 8 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt | [
0.033464640378952026,
0.35819530487060547,
-0.70843905210495,
0.026840507984161377,
-0.23316892981529236,
-0.06811846792697906,
0.628324031829834,
0.26846790313720703,
-0.6480947136878967,
0.3882415294647217,
-0.9075718522071838,
0.027115512639284134,
-0.22571086883544922,
0.18918463587760... |
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Q: Context: Today we welcomed a beautiful baby daughter into the world. Both she and her mother are doing great. We can’t stop smiling. Thank you Harry for stepping in to host the show at 2 and a half hours notice! x x x— James Corden (@JKCorden) December 13, 2017 Answer: harry
A: | who stepped up to help james host the show? | 4 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-0.2033039629459381,
0.5166435837745667,
0.04794709384441376,
-0.11689524352550507,
0.05479435622692108,
-0.6145442724227905,
-0.11069445312023163,
-0.43204963207244873,
0.845923900604248,
-0.15503326058387756,
-0.5778443813323975,
0.6732561588287354,
-0.20762918889522552,
-0.0309482160955... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Problem:Uwielbiamy go.
Solution: | Quiero decir, amamos nuestros sistemas visuales. Hacemos todo tipo de cosas interesantes. | 8 | NIv2 | task1258_ted_translation_pl_es | zs_opt | [
-0.7208163142204285,
0.8533577919006348,
-0.2364935427904129,
0.41264283657073975,
0.060823190957307816,
-0.2315765917301178,
0.3600403666496277,
-0.4322878420352936,
0.2072901576757431,
-0.45173129439353943,
-0.14766308665275574,
0.13199478387832642,
-0.02836201712489128,
0.25316578149795... |
Given the task definition and input, reply with output. 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 Tail is the reason for the Head or not. The reason provides a post-fact explanation of the cause of an event. For example, why one has to walk could be explained by a car has broken down. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Head: fart<sep>Tail: have gas in body
| Yes | 5 | NIv2 | task1208_atomic_classification_xreason | zs_opt | [
0.26939690113067627,
0.4423016309738159,
0.27656108140945435,
0.035787537693977356,
-0.37340712547302246,
-0.8251076340675354,
0.9387000799179077,
0.406555712223053,
-0.4571605920791626,
-0.07989094406366348,
-0.6116253733634949,
-0.07842308282852173,
-0.7166341543197632,
0.098517134785652... |
Detailed Instructions: In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate female and male, respectively.
Q: F: I'm not feeling well. I've got a bad cold. ,M: Have you got a sore throat and a running nose too? ,F: No, but I've got a headache.
(A) M: I am sorry that you had a headache. (B) M: A headache? But you are not having a cold. (C) M: Oh god! Your running nose is so serious. (D) M: I am afraid I did not quite catch what you were saying. Please repeat it.
A: | A | 9 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
0.1045677587389946,
-0.04381845146417618,
0.3516811728477478,
-0.6455346345901489,
0.32741260528564453,
-0.12386426329612732,
0.41642409563064575,
0.5631812810897827,
0.08251261711120605,
-0.05508748069405556,
-0.5495150089263916,
-0.46114444732666016,
0.1815868765115738,
-0.35003900527954... |
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.
[EX Q]: Title: Misjudged. Sentence 1: Bobby loved to dress up in women's clothes. Sentence 2: He always felt scared to do this as his dad was very strict. Sentence 3: Once, his dad came home early and caught Bobby in a dress. Sentence 4: Bobby was ready to be punished badly. Choices: a. Instead, Bobby's dad was very understanding and kind. b. He discovered that the turtle wore a diaper.
[EX A]: a
[EX Q]: Title: The Tip. Sentence 1: Maxine worked the overnight shift at the diner. Sentence 2: An old man would always come in and sit in her section. Sentence 3: One day, she noticed he seemed down in the dumps. Sentence 4: She sat across from him and they talked for a while. Choices: a. She thanked everyone for checking the video out. b. He left her a ten dollar tip on a six dollar tab.
[EX A]: b
[EX Q]: Title: Jay's Morning. Sentence 1: Jay woke up early one morning. Sentence 2: He had an appetite for a breakfast sandwich from Burger King. Sentence 3: Jay showered, got dressed and hopped into his car. Sentence 4: As he rounded the corner he noticed a closed sign on the Burger King. Choices: a. I had them write a confession, and my parents let them live! b. Jay's morning was ruined by this sight.
[EX A]: | b
| 6 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.07636657357215881,
-0.3942441940307617,
-0.001966088078916073,
0.4445841312408447,
0.20802438259124756,
-0.03516919165849686,
0.42670273780822754,
1.1736842393875122,
-0.210333913564682,
0.5335562229156494,
-0.6981867551803589,
-0.2941631078720093,
-0.398197740316391,
-0.4120670855045318... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
passage: Scotch whisky (Scottish Gaelic: uisge-beatha na h-Alba; often simply called Scotch) is malt whisky or grain whisky made in Scotland. Scotch whisky must be made in a manner specified by law.
question: does scotch have to be made in scotland?
Output: | Yes | 1 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
0.2467782199382782,
1.2323867082595825,
-0.24984604120254517,
-0.373559832572937,
0.04730887711048126,
-0.8343349099159241,
1.0320289134979248,
0.03004688397049904,
0.4284575581550598,
-0.3189893364906311,
0.02565012127161026,
0.41196542978286743,
-0.3096688985824585,
0.33898988366127014,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment.
" I suppose you call yourself a hero and imagine a saga will be composed about your exploits .
| Original | 5 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-1.0309758186340332,
1.1485921144485474,
0.5400698184967041,
-0.08835512399673462,
-0.0868433266878128,
-0.41026923060417175,
0.07499250024557114,
1.0051671266555786,
0.054670222103595734,
-0.8036532402038574,
-0.8940455913543701,
-0.25002938508987427,
-0.659491240978241,
-0.29599177837371... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment.
Q: Finally in the early hours of the morning when floods came we were able to take the trench .
A: | Changed | 4 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.5253809690475464,
1.1565462350845337,
0.6813246011734009,
-0.46784090995788574,
-0.3945389986038208,
-0.9931544065475464,
0.4140397310256958,
0.8793158531188965,
-0.09670739620923996,
-0.5312555432319641,
-0.6248490214347839,
-0.3843861520290375,
-0.9676622152328491,
0.01205712743103504... |
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Example input: 5 + 3
Example output: 2
Example explanation: Here, '+' represents subtraction operation. So, the answer is 2 (5-3=2).
Q: 356 - 2021 - 3665 + 6589 - 3881
A: | 3334 | 3 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.15876168012619019,
0.0022520623169839382,
-0.7588543891906738,
0.8820356130599976,
0.007669050246477127,
-0.1967121958732605,
0.6644423007965088,
1.5102484226226807,
0.5783214569091797,
-0.3386690020561218,
-0.42943114042282104,
-0.6324387788772583,
-0.26206523180007935,
0.2834782898426... |
Detailed Instructions: 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'.
Q: Query: How do I get my free annual credit report?
Clarification: do you want to go to arkansas
A: | No | 9 | NIv2 | task227_clariq_classification | zs_opt | [
-0.6847703456878662,
0.13778063654899597,
-0.00466432049870491,
-0.3009290099143982,
-0.15562765300273895,
-1.4094712734222412,
0.6255611777305603,
0.5356860160827637,
0.4664102792739868,
0.2583858370780945,
0.4874708950519562,
-0.02216901257634163,
-0.32890069484710693,
0.0928987711668014... |
Instructions: Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Input: VATICAN CITY (AP) â Pope Francis on Saturday advised against making the pursuit of money a career or success the basis for oneâs whole life urging in his Epiphany remarks to also resist âinclinations toward arrogance the thirst for power and for riches.â
Many Christians observe Epiphany to recall the three wise men who followed a star to find the baby Jesus. Francis suggested asking âwhat star we have chosen to follow in our lives?â
In Istanbul the Greek Orthodox Christian community celebrated Epiphany with the traditional blessing of the waters. Ecumenical Patriarch Bartholomew I the spiritual leader of Greek Orthodox Christians and the Archbishop of Constantinople led the liturgy Saturday at the Patriarchal Cathedral of St. George for Epiphany commemorating the baptism of Jesus Christ.
In many places in Europe Epiphany is a day where children receive gifts or enjoy special entertainment. Romeâs Piazza Navona is famed for a holiday market with many toy stalls. Children believe the Befana witch on a broom brings the well-behaved toys while those who havenât behaved get lumps of charcoal.
On city sidewalks throughout Spain parents and their children came out to enjoy the day. On Epiphany eve Friday streets across Spain were packed with families watching Epiphany parades with decorative floats camels clowns and jugglers. Some performers tossed candy to the crowds.
In recent years security for Epiphany and other holidays has been tightened in Madrid and Barcelona amid fears of potential terror attacks with large vehicles banned from streets near the parades.
Francis also recalled traditions such as in Poland where many families join in processions recalling the three wise men also known as the three kings or magi. In some countries Epiphany and not Christmas is the holiday to exchange gifts among loved ones.
Output: | Pope Francis Epiphany | 3 | NIv2 | task419_persent_answer_generation | zs_opt | [
0.15680041909217834,
0.44600021839141846,
-0.7196062803268433,
0.1344907283782959,
-0.36020952463150024,
-1.0403591394424438,
0.950253427028656,
0.8253438472747803,
0.24517686665058136,
0.278065025806427,
-0.019000891596078873,
1.5838069915771484,
-0.9365825653076172,
-0.16250824928283691,... |
In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s.
Q: Akano was part of the one-night Strikeforce 135-pound women's tournament on August 13, 2010 at . A random drawing was held on the day of the weigh-ins to determine first-round matchups and Akano faced Carina Damm in the opening round of the tournament. Akano submitted Damm with a triangle armbar in the second round to advance to the tournament final. _She_ faced Miesha Tate and was defeated by Unanimous Decision. <sep>, Pronoun: She
A: | Damm | 4 | NIv2 | task331_gap_incorrect_answer_generation | zs_opt | [
0.15475723147392273,
0.7625346183776855,
-0.07925958931446075,
0.06729806959629059,
-0.4526929259300232,
0.12427514046430588,
1.3036935329437256,
0.28997522592544556,
0.2143660932779312,
-0.38030460476875305,
-0.6050970554351807,
0.3943135142326355,
-1.3641258478164673,
0.1443711519241333,... |
Teacher: Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
Teacher: Now, understand the problem? If you are still confused, see the following example:
In 1582 the united provinces invited francis, duke of anjou to lead them; but after a failed attempt to take antwerp in 1583, the duke left the netherlands again. after the assassination of william of orange (10 july 1584), both henry iii of france and elizabeth i of england declined the offer of sovereignty. however, the latter agreed to turn the united provinces into a protectorate of england (treaty of nonsuch, 1585), and sent the earl of leicester as governor-general. this was unsuccessful and in 1588 the provinces became a confederacy. the union of utrecht is regarded as the foundation of the republic of the seven united provinces, which was not recognized by the spanish empire until the peace of westphalia in 1648.
Solution: In what year did francis, duke of anjou leave the netherlands?
Reason: The generated question is perfect. Because the question is based on second sentence of the input passage and its answer is 1583.
Now, solve this instance: This Is Jackie DeShannon is an LP album by Jackie DeShannon, released by Imperial Records under catalog number LP-9286 as a monophonic recording in 1965, and later in stereo under catalog number LP-12286 the same year.
Student: | What label was responsible for This Is Jackie DeShannon? | 2 | NIv2 | task470_mrqa_question_generation | fs_opt | [
0.6273651719093323,
0.7558321952819824,
-0.24158093333244324,
-0.17324478924274445,
0.36778491735458374,
0.013632740825414658,
-0.3026159703731537,
0.04305035620927811,
-0.19948405027389526,
-0.025731105357408524,
0.27200472354888916,
0.15221360325813293,
-0.8890664577484131,
0.15526667237... |
Given the task definition and input, reply with output. Given a sentence, generate a new 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.
You would remember a phone number because you want to talk to someone.
| You would seek a phone package because you stop to talk to someone . | 5 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
-0.44628363847732544,
0.959525465965271,
0.2659049928188324,
-0.36646831035614014,
-0.09058207273483276,
-0.4158459007740021,
0.6606652736663818,
0.3578832745552063,
-0.08791209757328033,
-0.1928243339061737,
-1.1198965311050415,
0.1297735720872879,
-0.6157355308532715,
0.18439523875713348... |
Definition: In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label the instances as "ironic" or "not" based on your judgment. Note that URLs in the text have been replaced with [Link].
Input: @DrunkVinodMehta If #BJP joins with PDP, then CM will be of PDP. Only way to have a #HINDU #CM is to take support of Abdullah family
Output: | ironic | 2 | NIv2 | task386_semeval_2018_task3_irony_detection | zs_opt | [
-1.35805344581604,
0.23216977715492249,
0.5441949367523193,
0.1984589695930481,
-0.6303336024284363,
0.09084540605545044,
0.8934683799743652,
-0.04651309549808502,
0.7608728408813477,
0.06324134767055511,
-0.5668691396713257,
-0.505561351776123,
-0.24344728887081146,
-0.08208443224430084,
... |
Definition: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Input: Tweet: @anonymized_account @anonymized_account Bardziej przesiąknięty AntyWisłą niż Cracovią :P , Question: Does the tweet contain cyberbullying (harmful) content?
Output: | No | 2 | NIv2 | task839_cdt_classification | zs_opt | [
-1.1715025901794434,
1.2250741720199585,
0.587478518486023,
0.5762723684310913,
-0.7428802847862244,
-0.8406583070755005,
0.7346305847167969,
-0.30012574791908264,
0.4347953200340271,
0.3522205054759979,
-0.1304394006729126,
0.23985373973846436,
-0.7334462404251099,
-0.5030100345611572,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as 'a', 'b', 'c', or 'd'. If you think more than one option is plausible, choose the more probable option to help you answer the question.
Example: Question: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin? Passage: The group was occasionally diverted from strategic missions to carry out air support and interdiction missions. It supported Operation Overlord, the invasion of Normandy by attacking transportation targets, including bridges, along with airfields and strong points in France. On D Day, the squadron and the rest of the 446th Group led the first heavy bomber mission of the day. The 446th aided ground forces at Caen and Saint-Lôduring July by hitting bridges, gun batteries, and enemy troops. During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. It struck lines of communications during the Battle of the Bulge. During Operation Varsity in March 1945, it supplied ground and airborne troops near Wesel. The squadron flew its last combat mission on 25 April 1945 against Salzburg, Austria. The group had flown 273 missions and had lost 58 aircraft during the war,
. Links: a. Allies of World War II b. Wesel c. Operation Market Garden d. Air Support.
Output: c
The passage describes the 704th's actions during Operation Market Garden.
New input case for you: Question: What clan did the chief who joined Black Hawk after refusing to relocate belong to? Passage:The Navajo War was not directly a part of the Black Hawk War, but it may have been a source of some of the native warriors who fought in the Black Hawk War. Black Hawk's success drew fighters from other Utes in Colorado, Apaches from New Mexico, and many Navajos. In the winter of 1866 Black Hawk and his band went to the Four Corners region where he received many new recruits. So many Navajos joined him that they formed almost half his raiders. The Navajo had been decimated by the U.S. Army under Kit Carson and forced out of their ancestral homeland. The remaining Navajos were eager for a chance to build up their herds at the expense of white settlers. Manuelito, the most important chief refusing to relocate to the Bosque Redondo Reservation, jointly led Black Hawk's raids on Mormon settlements in southern Utah during 1866. The attacks commenced at Pipe Springs, then a Mormon settlement on the Arizona-Utah border. The retaliation for the Pipe Springs raid left four unarmed Paiutes dead for murders they had nothing to do with. This brought some Paiute fighters to Black Hawk's band. Hopis hearing of the Navajo's movements feared they were to be attacked and struck first ambushing Manuelito's Navajos. The raids continued at the Paria settlements, and Kanab, who sent pleas for help against the raids. In subsequent years, the raids continued in the south by Navajos and Paiutes, which raised tensions to a fever pitch which would result in the worst massacre of the war at Circleville. Chief Kanosh predicted that in 1867 six thousand Navajos would wipe out the Mormon towns in southern Utah.
Links: a. Manuelito b. New Mexico c. Kanosh (chief) d. Fort Sumner
Output: | a | 1 | NIv2 | task231_iirc_link_classification | fs_opt | [
0.7187625169754028,
0.6031113862991333,
-0.40938034653663635,
0.10139909386634827,
0.41702115535736084,
-0.5586199164390564,
1.1455111503601074,
1.2558164596557617,
0.13873803615570068,
0.04107493534684181,
-0.040561653673648834,
-0.09611158072948456,
-0.2729804515838623,
0.046773839741945... |
Teacher:A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: મંત્રીમંડળે જલિયાવાલા બાગ રાષ્ટ્રીય સ્મારક ધારા, 151માં સંશોધનને મંજૂરી આપી
Student: | جلیانوالاباغ قومی میموریل ایکٹ 1951میں ترمیم کو کابینہ کی منظوری | 6 | NIv2 | task1001_pib_translation_gujarati_urdu | zs_opt | [
0.04408837854862213,
0.6286698579788208,
-0.08625160157680511,
-0.6574446558952332,
-0.08913567662239075,
-1.0265883207321167,
0.5066176652908325,
-0.17487075924873352,
-0.2527710199356079,
-0.7124897241592407,
-0.18327052891254425,
-0.7204102277755737,
-0.5758972764015198,
-0.033623531460... |
Detailed Instructions: Given a sentence in Vietnamese, generate a new Vietnamese 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.
Q: Ở nhà hàng, bạn sẽ chọn vị trí.
A: | Ở nhà hàng, anh sẽ chọn cái váy. | 9 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
-0.09958935528993607,
-0.019349928945302963,
0.02865244448184967,
-0.3621705174446106,
-0.19527511298656464,
-0.14369332790374756,
0.904285192489624,
1.2001051902770996,
0.23326638340950012,
0.1459423303604126,
-0.04901231825351715,
-0.09884322434663773,
-0.3485053777694702,
0.506900072097... |
Instructions: In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Input: " Then when Tim heard you come through the door, he freaked and ran. "
Output: | Present | 3 | NIv2 | task429_senteval_tense | zs_opt | [
-0.427345871925354,
0.7497405409812927,
0.49410539865493774,
0.4054047167301178,
-0.01571212336421013,
-0.2924557030200958,
0.17119640111923218,
0.7173500657081604,
0.12869581580162048,
0.29642611742019653,
-0.5670126676559448,
0.09439012408256531,
-0.3014748990535736,
-0.20614713430404663... |
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Q: name a place where you often find an elevator.
A: | hotel | 4 | NIv2 | task820_protoqa_answer_generation | zs_opt | [
-0.10314411669969559,
1.234454870223999,
-0.2671635150909424,
-0.18843697011470795,
-0.3025912642478943,
-0.37376636266708374,
0.15412496030330658,
0.23771071434020996,
0.8490331172943115,
0.053534992039203644,
-0.15330857038497925,
0.3174314498901367,
-1.0005911588668823,
0.55280804634094... |
Definition: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be seen as what is mentioned in the Tail or not. In this task, PersonX will be seen as the Tail if the Tail describes PersonX's persona or attribute as perceived by others given an event. In the gift-giving example, X may be seen as generous or giving. In contrast, in an event such as PersonX steals a car, PersonX may be perceived as evil. 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.
Input: Head: PersonX has ___ one night<sep>Tail: thoughtful
Output: | Yes | 2 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.024250032380223274,
0.009719067253172398,
0.5523533225059509,
0.016601629555225372,
-0.585884153842926,
-1.3982517719268799,
0.603926420211792,
0.34569841623306274,
-0.6191962957382202,
-0.30964893102645874,
-0.5599262118339539,
-0.5730156302452087,
-0.45656830072402954,
-0.1750978529453... |
Given the task definition and input, reply with output. In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
This is a wonderful warm flavored tea, especially now in colder weather. This tea has a sweet,soothing chamomile fragrance. It is subtle and sweet.It's one of the better chamomile teas. If you find it hard to sleep at times, a cup of this sweet chamomile tea may help. If you really like sweet taste try Bigelow Chamomile Mango Herbal Tea. I highly recommend both.
| 5 | 5 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
-0.32051801681518555,
-0.37150707840919495,
0.4593033492565155,
0.11424967646598816,
0.43937942385673523,
-0.5990874767303467,
0.4492607116699219,
0.49559974670410156,
-0.39247679710388184,
0.2561810612678528,
-0.40678149461746216,
-0.7087643146514893,
-1.0308305025100708,
-0.2591630220413... |
Definition: In this task, you are given a sentence which contains a motion and your task is to identify the physical entities involved in the motion. The input sentence can have more than one entity and also there is at least one entity that takes part in physical motion. There are two types of entities which are animate (beings that are alive) and inanimate entities (beings that are not alive).
Input: A naked man is running on the field and gets hit.
Output: | man | 2 | NIv2 | task1518_limit_answer_generation | zs_opt | [
-0.3466304540634155,
0.5251370668411255,
0.09392653405666351,
0.30324840545654297,
-0.3095718026161194,
-0.1084272712469101,
0.3562067747116089,
0.17401891946792603,
0.16399738192558289,
-0.07568532228469849,
-1.3081250190734863,
-0.23969151079654694,
-0.5518066883087158,
-0.14560648798942... |
Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Q: Der Effekt des Backens eines Kuchens ist, Kuchen Teig in einen fertigen Topf zu verwandeln.
A: | Die Wirkung des Backens eines Kuchens ist es, Kuchen Teig in eine fertige Pizza zu verwandeln. | 4 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
0.195328950881958,
0.9018555283546448,
0.33630087971687317,
-0.7056068181991577,
0.18610194325447083,
0.3379553258419037,
0.6477735042572021,
1.2617661952972412,
-0.5246677994728088,
-0.2968295216560364,
-0.428845077753067,
-0.2861969769001007,
-1.0531527996063232,
0.1823510080575943,
-0... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay special attention to the marked number, think about what (unwritten) information the marked number holds inside, choose the most adequate word(s) from the optional answers. If none of them seems right to you, there's also an option for other. If your answer is "REFERENCE", also write the reference entity, otherwise write the implicit option name. Options to choose from are:
REFERENCE: Some object which is being mentioned in the text before or after the target number. The reference answer has a higher priority than any other. If both Reference and another answer are possible, prioritize the Reference.
YEAR: Describing a calendric year
AGE: Describing someone's age
CURRENCY: Reference to some monetary value e.g dollar, euro etc.
PEOPLE: Describing a single/plural persons
TIME: Describing a time of the day. Usually you can add the word o'clock after those numbers.
OTHER: Some other option, which isn't listed here.
[Q]: Tom Kirkman: On a scale of one to ten , how much do I embarrass you ?
Tom Kirkman: _ 11 _
Tom Kirkman: Excellent !
[A]: REFERENCE scale
[Q]: The Doctor: You know what they say about plans .
Clara Oswin: What ?
The Doctor: I do n't have _ one _ .
[A]: REFERENCE plans
[Q]: Friar Tuck: It 's a strange piece of logic , Robin Hood , to rescue a prisoner by becoming _ one _ yourself .
Robin Hood: It 's a strange piece of logic , Friar Tuck , to reform the sinners in a tavern by becoming one yourself .
[A]: | REFERENCE prisoner
| 5 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
0.0737810730934143,
0.5948396325111389,
-0.46131107211112976,
0.11193366348743439,
-0.20252712070941925,
-0.6796218156814575,
1.3399136066436768,
0.9944939017295837,
0.13050907850265503,
0.058075323700904846,
-0.23524367809295654,
0.5718128681182861,
-0.5247349739074707,
-0.017255948856472... |
A text is given in English. Translate it from the English language to the Marathi language. The translation must not omit or add information to the original sentence.
Example: सुरुवातीला पोषण दिसून येणार नाही, मात्र हळू-हळू गती येईल
Example solution: Initially Nutrition will not be seen, but slowly slowly
Example explanation: Correct translation for given sentence. Input sentence means 'Initially Nutrition will not be seen, but slowly slowly' which is the same as the output sentence.
Problem: बागेसंदर्भातील भराव घालण्याच्या गडकरी यांच्या सूचनेचा स्वीकार करुन फडणवीस यांनी या संदर्भात आवश्यक तो निर्णय घेतला जाईल असे स्पष्ट केले.
| Solution: He accepted shri Gadkaris suggestion for new reclamation and assured for needful action. | 5 | NIv2 | task1086_pib_translation_marathi_english | fs_opt | [
0.020424136891961098,
0.6502840518951416,
0.444286048412323,
-0.17807243764400482,
-0.24313098192214966,
-0.8714872002601624,
0.38232606649398804,
1.039376974105835,
-0.16295664012432098,
0.11008656024932861,
0.03403657674789429,
-0.6193272471427917,
-0.8046897649765015,
0.2899738550186157... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Problem:אז יש לכם את הגברות עם הכובעים האדומים כאן.
Solution: | لديك مجموعة من السيدات اصحاب القبعات الحمراء هنا | 8 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.6051994562149048,
0.19359257817268372,
-0.46060100197792053,
-0.7393213510513306,
-0.5526214838027954,
0.2229350358247757,
0.6618101596832275,
0.35859817266464233,
0.9229876399040222,
-0.18477609753608704,
-1.040004014968872,
-0.37719452381134033,
-0.5927255153656006,
0.2301920652389526... |
Definition: 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 Tail is the intention of the PersonX from the Head or not. The intention is the likely intent or desire of PersonX behind the execution of an event. For example, given the Head PersonX gives PersonY gifts, an intention might be that PersonX wanted to be thoughtful. 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.
Input: Head: PersonX arrives at PersonY understanding<sep>Tail: understand what is going on
Output: | No | 2 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.32316017150878906,
0.1490052044391632,
0.3449971675872803,
-0.2529565095901489,
-0.5952387452125549,
-0.7304452657699585,
1.2227966785430908,
-0.06517601013183594,
-0.36949682235717773,
-0.3680950999259949,
-0.4613375663757324,
-0.3932982385158539,
-0.9054888486862183,
0.5498853325843811... |
In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a negative and positive element have the same absolute value you should return the positive element. The absolute value for negative numbers can be found by multiplying them by -1. After finding the element with the maximum absolute value you should return the value of that element before you applied the absolute value.
Input: Consider Input: [-19.031 5.415]
Output: -19.031
Input: Consider Input: [ 68.67 -77.595 -41.146]
Output: -77.595
Input: Consider Input: [-98.655 59.238 92.484]
| Output: -98.655
| 2 | NIv2 | task095_conala_max_absolute_value | fs_opt | [
0.3038924038410187,
0.25163471698760986,
-0.25922131538391113,
0.4962880611419678,
0.16663268208503723,
-0.5586971044540405,
0.8899695873260498,
1.1075959205627441,
0.22135029733181,
-0.06874527037143707,
-0.4833957552909851,
-0.008900418877601624,
-0.10836581885814667,
-0.1228800714015960... |
Teacher:In this task, you need to write an incorrect answer to the given question. Along with the question, you are also given the correct answer(s) and the associated paragraph. An incorrect answer should be closely related to the content of the paragraph and/or the question but will not truthfully answer the question. Your incorrect answers should be similar to the given correct answer such that it will pose a challenge for students to distinguish the two. A good incorrect answer should prevent those who skip the paragraph from answering the question. The incorrect answer should not be trivial, in the sense that they should not be easily eliminated without reading the paragraph.
Teacher: Now, understand the problem? Solve this instance: Paragraph- Sent 1: Patricia Cross and her boyfriend Larry Osborne , two students in a San Francisco school , become expelled for the publication of an off-campus underground paper .
Sent 2: As a result , a philosophy professor , Dr. Jonathon Barnett , resigns his teaching position and decides to become an advocate for the counterculture youth movement and , specifically , the use of LSD .
Sent 3: The hippies of the Haight-Ashbury district first see him as a hero and then as something even more .
Sent 4: Dr. Barnett even makes an appearance on the Joe Pyne TV show to voice his support of the hippie community and the use of LSD .
Sent 5: One scheming young man sees the opportunity to build Dr. Barnett as the head of a cult centered around the use of LSD .
Sent 6: He hopes to earn profit from the users , Dr. Barnett's speeches known as `` happenings , '' and their lifestyles .
Sent 7: At a massive LSD-fueled dance , Patricia begins to have a bad trip Which leads to an argument between her and Pat , ultimately splitting the couple up .
Sent 8: After Patricia realizes that she's pregnant , Dr. Barnett advises her to have an abortion , ultimately leading to Patricia attempting suicide .
Sent 9: However , Larry saves her and makes the destruction of Dr. Barnett's cult his primary objective .
Sent 10: Larry shoots Dr. Barnett from the crowd at one of his massive speeches .
Sent 11: As another hippie in attendance calms the audience and Elliot sees his new leader for their cult-like organization , Larry realizes that his assassination of Dr. Barnett simply made him a martyr for the hippie movement .
Question: What made Dr. Jonathon Barnett to resign his teaching position?.
Student: | Teaching position. | 6 | NIv2 | task055_multirc_write_incorrect_answer | zs_opt | [
0.4216495454311371,
0.2735280990600586,
-0.6032114028930664,
-0.408139705657959,
0.19565913081169128,
-0.9844123721122742,
-0.09500320255756378,
0.42675304412841797,
0.38989347219467163,
0.25268131494522095,
-0.3025244474411011,
0.8135988712310791,
-1.1582465171813965,
-0.19827160239219666... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
--------
Question: Así que realmente podemos cambiar as cousas.
Answer: Portanto nós conseguimos mesmo fazer mudanças.
Question: e, para iso, necesitan unha educación occidental.
Answer: E para isso, elas precisam duma educação ocidental.
Question: Se cadra un de nós equivócase sobre o mal.
Answer: | Talvez um de nós esteja errado acerca do errado.
| 7 | NIv2 | task1246_ted_translation_gl_pt | fs_opt | [
-0.4916616678237915,
1.0806608200073242,
0.7682486176490784,
-0.7005279064178467,
-0.552298903465271,
-2.0974063873291016,
-0.24521619081497192,
1.4150340557098389,
-0.16813330352306366,
-0.016000734642148018,
-0.15711790323257446,
0.27401456236839294,
-0.7048206329345703,
-0.1366828978061... |
Detailed Instructions: In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Problem:هو يقضي الكثير من وقته هنا
Solution: | He put in a lot of time here. | 8 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
0.3627607524394989,
0.45175427198410034,
-0.056742869317531586,
-0.8647983074188232,
-0.16612401604652405,
-0.19986939430236816,
0.5133774280548096,
0.1940450817346573,
0.5604025721549988,
-0.2112729549407959,
-0.48354876041412354,
0.10254137217998505,
-0.6054298877716064,
0.27779236435890... |
Definition: In this task, you are given music product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: Mauvais . Pas d'accord avec nos amis Luc et Ramone, ce double cd remasterisé est vraiment mauvais. Coverdale et Hughes se tirent la "bourre" contamment d'ailleurs j'ai l'impression que c'est Hughes qui chante le plus. Smoke OTW chanté par Coverdale : une honte. Je me suis vraiment ennuyé à l'écoute de ce concert : double cd rangé et on en parle plus, merci.
Output: | NEG | 2 | NIv2 | task484_cls_french_music_classification | zs_opt | [
0.09801127761602402,
0.372065931558609,
-0.48968738317489624,
0.028879476711153984,
0.35195857286453247,
-0.19927102327346802,
1.1197527647018433,
-0.3453936278820038,
0.4141961932182312,
0.6732113361358643,
-0.8732396364212036,
-0.2726926803588867,
0.36230695247650146,
-0.1714480370283126... |
Teacher:In this task, you need to count the number of words in a sentence that contain the given letter
Teacher: Now, understand the problem? Solve this instance: Sentence: 'a bus full of people are sitting at a bus stop'. How many words contain the letter 'z' in the sentence.
Student: | 0 | 6 | NIv2 | task161_count_words_containing_letter | zs_opt | [
0.1601068377494812,
0.47153666615486145,
-0.06753222644329071,
-0.5955896377563477,
-0.06893263757228851,
-0.21431075036525726,
0.1803152710199356,
-0.29090362787246704,
0.2613062858581543,
-0.4889446496963501,
-0.290884405374527,
-0.8390588760375977,
0.2196512669324875,
-0.322096407413482... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is 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.
Input: Head: child<sep>Tail: daughter
Output: | Yes | 3 | NIv2 | task1210_atomic_classification_madeupof | zs_opt | [
0.2299574613571167,
0.595613420009613,
0.040038660168647766,
-0.1877174973487854,
-0.7658349275588989,
-0.5790420770645142,
1.2498542070388794,
0.7853531837463379,
-0.3842032551765442,
-0.4535563290119171,
-0.3096933960914612,
-0.2123841792345047,
-0.5487006902694702,
0.24253705143928528,
... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
One example: Abstract: This study was designed to determine the influence of a long-term, moderate-intensity treadmill training program on the distribution of blood flow within and among muscles of rats during exercise. One group (T) of male Sprague-Dawley rats trained for 1 h/day for 13-17 wk at 30 m/min on a motor-driven treadmill. A second group (UT) of rats was conditioned for 10 min/day for 4 wk at the same speed. Muscle succinate dehydrogenase activities were higher in T than UT rats indicating a significant training effect. Blood flows (BFs) in 32 hindlimb muscles or muscle parts and other selected organs were measured in the two groups with radiolabeled microspheres during preexercise and while the rats ran for 30 s, 5 min, or 15 min at 30 m/min on the treadmill. The data indicate 1) there were no differences in total hindlimb muscle BF between UT and T rats at any time; however, 2) T rats had higher preexercise heart rates and higher muscle BFs in the deep red extensor muscles, suggesting a greater anticipatory response to the impending exercise; 3) T rats demonstrated more rapid elevations in BF in the red extensor muscles at the commencement of exercise; 4) T rats had higher BFs in red extensor muscles during exercise, whereas UT rats had higher BFs in white muscles; and 5) T rats maintained higher BFs in the visceral organs during exercise. These findings demonstrate that exercise training results in changes in the distribution of BF within and among muscles and among organs during exercise. Specifically, data indicate the high-oxidative motor units that are primarily recruited in the muscles during the initial stages of moderate treadmill exercise receive higher blood flows in the trained rats; this presumably contributes to increased resistance to fatigue.. Title: Exercise blood flow patterns within and among rat muscles after training.
Solution is here: yes
Explanation: Title is appropriate for the given abstract because the focus of this abstract is cerebral white matter assesment.
Now, solve this: Abstract: Claspin is required for the ATR-dependent activation of Chk1 in Xenopus egg extracts containing incompletely replicated DNA. We show here that Claspin associates with chromatin in a regulated manner during S phase. Binding of Claspin to chromatin depends on the pre-replication complex (pre-RC) and Cdc45 but not on replication protein A (RPA). These dependencies suggest that binding of Claspin occurs around the time of initial DNA unwinding at replication origins. By contrast, both ATR and Rad17 require RPA for association with DNA. Claspin, ATR, and Rad17 all bind to chromatin independently. These findings suggest that Claspin plays a role in monitoring DNA replication during S phase. Claspin, ATR, and Rad17 may collaborate in checkpoint regulation by detecting different aspects of a DNA replication fork.. Title: Claspin, a Chk1-regulatory protein, monitors DNA replication on chromatin independently of RPA, ATR, and Rad17.
Solution: | yes | 6 | NIv2 | task1587_scifact_classification | fs_opt | [
0.398440957069397,
-0.264884352684021,
-0.6055619120597839,
0.7115069627761841,
1.034851312637329,
0.022027824074029922,
0.31849098205566406,
0.6865179538726807,
-0.15328681468963623,
-0.04573431238532066,
-0.6477119326591492,
0.024243490770459175,
-0.8570286631584167,
0.30808258056640625,... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Example: Cando chegas a estas sociedades en desenrolo, as mulleres son os piares da súa comunidade, pero os homes seguen a ser os que controlan as rúas.
Example solution: وقتی به این جامعه های در حال توسعه می روید زنها رکن اصلی اجتماعشان هستند ولی هنوز این مردها هستند که خیابون ها رو در دست دارند.
Example explanation: The Galician sentence is correctly translated into Farsi, because the meaning is preserved.
Problem: Isto ocorre 160 veces por segundo e se falla algo neste proceso, Rezero caería inmediatamente ao chan.
| Solution: این عمل 160 بار در ثانیه انجام می شود ، و اگر چیزی در این روند درست کار نکند ، ریزیرو (Rezero) بلافاصله به زمین می افتد. | 5 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-1.197733759880066,
1.0599128007888794,
-0.19112032651901245,
-0.6244170665740967,
-0.10410571098327637,
-0.1873563975095749,
1.143474817276001,
0.7757343053817749,
-0.4014682173728943,
-0.0722685307264328,
-1.6247130632400513,
0.35566461086273193,
-0.847133994102478,
0.3215866684913635,
... |
Q: In this task your given two statements in Turkish. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Otobüsü kaçırdım.
İşe geç kaldım.
A: | effect | 7 | NIv2 | task1181_xcopa_commonsense_cause_effect_tr | zs_opt | [
-0.9010998010635376,
0.44104140996932983,
-0.00518643157556653,
-0.49879390001296997,
-0.16297569870948792,
0.2239605337381363,
0.479450523853302,
0.03786664456129074,
0.673014760017395,
-0.004112359136343002,
-0.4316038489341736,
0.46583643555641174,
-0.7562727928161621,
0.423577815294265... |
Given an object and a part, decide whether the object has that part. For example is you are asked 'gun has barrel', you need to decide if a gun has a barrel as one of its components or parts. All sentences strictly follow the template 'object has part?.' The answer should be 1 or 0, 1 means the object has the given part, while 0 means it doesn't have the part.
Q: finger has bridge?
A: | 0 | 4 | NIv2 | task1584_evalution_meronym_classification | zs_opt | [
-0.3880835473537445,
0.9258385896682739,
-0.21000850200653076,
-0.03786453977227211,
0.23469562828540802,
-1.0589299201965332,
1.1058467626571655,
0.46060770750045776,
-0.14795276522636414,
-0.38108107447624207,
-0.4100569486618042,
0.6967185139656067,
-0.5612016916275024,
0.25740867853164... |
Q: In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
English: If they do not, they will be required to take it up by September 16th.
Hindi: सबसे हाल की मृत्यु उसी दिन हुई, जब Foxconn की जनक कंपनी Hon Hai Precision के अध्यक्ष टेरी गॉ ने पहली बार मीडिया के लिए शेन्ज़ेन उत्पादन सुविधा खोली।
A: | No | 7 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.32468414306640625,
-0.17959371209144592,
0.8728950023651123,
0.35816794633865356,
-0.17973226308822632,
-1.1371691226959229,
-0.647405743598938,
0.2901385426521301,
-0.27130910754203796,
0.07684086263179779,
0.23466289043426514,
-0.35918763279914856,
0.3037753701210022,
0.21468901634216... |
Given the task definition and input, reply with output. In this task you're given two statements in Marathi. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output either the word 'cause' or 'effect' .
मी फरशीवर घसरलो.
टाइल ओली होती.
| cause | 5 | NIv2 | task943_copa_mr_commonsense_cause_effect | zs_opt | [
-0.7016295790672302,
0.5594851970672607,
0.14016655087471008,
-0.24811631441116333,
-0.3362342417240143,
-0.4911155700683594,
0.010840307921171188,
0.9023038744926453,
0.33770692348480225,
-0.4280909299850464,
-1.1190110445022583,
-0.4250960946083069,
-0.5583200454711914,
0.168028414249420... |
In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a negative and positive element have the same absolute value you should return the positive element. The absolute value for negative numbers can be found by multiplying them by -1. After finding the element with the maximum absolute value you should return the value of that element before you applied the absolute value.
Q: [-51.924 43.773 -10.114 65.995 57.717]
A: 65.995
****
Q: [ -2.05 70.494 44.447 26.831 -94.826 -85.909]
A: -94.826
****
Q: [-52.997 8.854 -3.728 97.629 21.335 3.035]
A: | 97.629
****
| 4 | NIv2 | task095_conala_max_absolute_value | fs_opt | [
0.12495787441730499,
0.3412415385246277,
0.09253078699111938,
0.31372153759002686,
0.06225304305553436,
-0.33267349004745483,
0.7431784272193909,
1.2011404037475586,
0.09664662927389145,
-0.3242287337779999,
-0.6691409349441528,
-0.16223861277103424,
-0.04566437005996704,
0.096831500530242... |
Given the task definition and input, reply with output. Compose a new way to ask the same question. The new question must be asking the exact same thing as the original question does. Without any other information, you should be able to tell that the original question and the new question are the same. Preserve bracketed phrases in your new question. You can change the rest of the question provided the above requirements are satisfied. The new question must have a natural, fluent formulation, as if it were composed by a native English speaker. You will be given three pieces of information to help you create better questions. Those are: "Answer": the answer to the question, e.g., "Honolulu". "Answer Type": the type of the answer, e.g., "Location". "Auxiliary Information" is a detailed description of some concepts mentioned in the question, if any.
original question: what category does [Je Ne Sais Quoi Barbie Doll] have?
answer: barbie
answer type: Collection category.
auxiliary information: Je Ne Sais Quoi Barbie Doll is a Barbie doll that was released in 2008.
| [Je Ne Sais Quoi Barbie Doll] is of what category? | 5 | NIv2 | task402_grailqa_paraphrase_generation | zs_opt | [
0.4631772041320801,
-0.1728755533695221,
-0.182672381401062,
0.8416888117790222,
-0.1730133444070816,
-0.13539841771125793,
0.5690441727638245,
0.7355421781539917,
-0.45370325446128845,
-0.09714807569980621,
-0.54933762550354,
0.45968925952911377,
-0.030245225876569748,
-0.0437677614390850... |
Given the task definition and input, reply with output. Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". 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., second entity) is in a part-of relationship with its holonym (i.e., first entity).
Entity 1: firefly
Entity 2: tissue
| no | 5 | NIv2 | task472_haspart_classification | zs_opt | [
-1.0086708068847656,
0.7438664436340332,
0.8104279041290283,
-0.17870448529720306,
-0.08302050828933716,
-0.3135172426700592,
0.10325969010591507,
0.5472260117530823,
0.3717780113220215,
-0.47633546590805054,
-0.6579054594039917,
-0.15347756445407867,
-0.40666455030441284,
0.12597668170928... |
Instructions: In this task you are given an anecdote, which recount a complex ethical situation. The question you are given is, has the author of the anecdote acted ethically? answer this question with "RIGHT" or "WRONG".
Input: I am female. My gym has an indoor track. It is narrow in some places but 3 people can easily walk side by side through the narrow areas. One some days of the week, traffic walks/ runs clock-wise and on the other days, traffic goes counter clock-wise. Last Sunday was a clock-wise day. One other user was there already when I came up but she was walking counter clock-wise. Not really thinking about it, I joined and went counter clock-wise as well. Maybe 5 minutes later, another user joins us (there are now three people using the track) and he goes clock-wise, which you are supposed to do on Sundays. The first three times we pass each other, he tells me to change direction because I'm walking the wrong way. I was already into my groove and the person who was there before me is also still going counter clock-wise, so I smile at him to be polite and acknowledge what he's saying but continue the way I was. Each time he speaks to me about walking the wrong way, he gets a little more agitated. The final 'confrontation' ends with me telling him that there was more to life than worrying about which way I was walking. He stopped after that.
I was up there for a total of 10 minutes and there was only the three of us on the track that whole time. I'm not typically a rule breaker so I'm not sure if that guy was making a big deal over nothing or if I was being a jerk.
Output: | WRONG | 3 | NIv2 | task224_scruples_anecdotes_ethical_judgment | zs_opt | [
-0.2383894920349121,
-0.007817649282515049,
-0.043202899396419525,
0.08172212541103363,
-0.007254757918417454,
-0.8196761012077332,
-0.44789212942123413,
0.253356397151947,
-0.03628022223711014,
-0.3897472023963928,
-0.5046710968017578,
0.07390789687633514,
-0.5044504404067993,
-0.25382122... |
In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Example Input: The European institutions should follow the example of a number of countries, most notably the United Kingdom, and institute a committee for standards in public life, with a mandate to give advice on professional ethics and rules of conduct in the European institutions.
Example Output: Las instituciones europeas deberían seguir el ejemplo de algunos países, especialmente el reino Unido, e instituir un comité para las pautas de la actividad pública, con el mandato de prestar consejo en cuestiones de ética profesional y normas de conducta en las instituciones europeas.
Example Input: This is repulsive most of all in social terms.
Example Output: Es indignante, sobre todo en el plano social.
Example Input: Mr President, thank you very much for the opportunity you are giving me to go into the different amendments in more detail. In the course of my speech, I would also like to address Lord Inglewood regarding the remark he has just made.
Example Output: | (NL) Señor Presidente, gracias por concederme la oportunidad de entrar en detalle sobre las diferentes enmiendas y en el transcurso de mi intervención me gustaría decir también algo a Lord Inglewood con respecto a la observación que acaba de hacer.
| 3 | NIv2 | task530_europarl_en_es_translation | fs_opt | [
0.2811376750469208,
0.4359600841999054,
0.5467694997787476,
-0.36265408992767334,
0.2920677661895752,
-1.0577926635742188,
0.12795670330524445,
0.3598335385322571,
-0.405488520860672,
0.03743975609540939,
-0.21418476104736328,
0.38016510009765625,
-0.5545265674591064,
-0.6380358934402466,
... |
Part 1. Definition
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Part 2. Example
ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ່ງຂັນຣັກບີ້ລະດັບໂລກປີ 2007 ທີ່ ປາກເດແພຣັງ ປາຣີ ປະເທດຝຣັ່ງ.
Answer: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Explanation: The Lao sentence is correctly converted into Japanese because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is.
Part 3. Exercise
ຊາວຫ້າປີຮູ້ສຶກໃນກະດູກຂອງຂ້ອຍ ແລະ ຮູ້ສຶກໃນວິນຍານຂອງຂ້ອຍ ລາວໄດ້ບອກຕໍ່ກັບຜູ້ຊົມ.
Answer: | 25年という年月を、骨の髄まで、魂で、感じていると彼女は聴衆に語った。 | 7 | NIv2 | task1125_alt_lo_ja_translation | fs_opt | [
-0.47756826877593994,
0.5250252485275269,
-0.5020967721939087,
0.433308482170105,
-0.15694944560527802,
-0.7255487442016602,
0.53135746717453,
0.2536104917526245,
0.24414384365081787,
-0.7820873260498047,
-0.9325337409973145,
0.8119001388549805,
-0.929355800151825,
1.029428482055664,
0.2... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
Example: Sentence: The chief refused to help the attendant with the car because that was his job.
Gender: male
Output: Attendant
The pronoun "he" is linked to the attendant rather than the chief.
New input case for you: Sentence: The supervisor invited the designer to the party because she wanted everyone to be there.
Gender: female
Output: | Supervisor | 1 | NIv2 | task343_winomt_classification_profession_anti | fs_opt | [
-1.067911982536316,
0.73517906665802,
0.059060849249362946,
-0.5506935119628906,
0.4634193778038025,
-0.03470459580421448,
-0.2574441432952881,
0.9333157539367676,
0.661410927772522,
0.0806601420044899,
-0.8824868202209473,
-0.16880561411380768,
-0.11564166098833084,
-0.2704651653766632,
... |
Instructions: In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. For example, if the input list contains two items, you can drop one of the items each time. So the output should be a list comprising two inner lists that you have created by decreasing the items.
Input: ['w', '8', '5']
Output: | [['w', '8'], ['w', '5'], ['8', '5']] | 3 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.08437669277191162,
0.18238671123981476,
-0.45379573106765747,
0.03978324308991432,
0.6130369901657104,
-0.23924735188484192,
0.4309923052787781,
0.39059978723526,
0.011787223629653454,
-0.08029267936944962,
-0.28242024779319763,
0.05920582264661789,
0.015996195375919342,
-0.037518445402... |
Teacher:Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common', 'cvg', 'opera', 'olympics', 'chemistry', 'visual_art', 'conferences', 'sports', 'language', 'travel', 'location', 'award', 'dining', 'martial_arts', 'comic_strips', 'computer', 'user', 'tennis', 'music', 'organization', 'food', 'event', 'transportation', 'fictional_universe', 'measurement_unit', 'meteorology', 'distilled_spirits', 'symbols', 'architecture', 'freebase', 'internet', 'fashion', 'boats', 'cricket', 'film', 'medicine', 'finance', 'comic_books', 'celebrities', 'soccer', 'games', 'time', 'geography', 'interests', 'common', 'base', 'business', 'periodicals', 'royalty', 'education', 'type', 'religion', 'automotive', 'exhibitions'.
Teacher: Now, understand the problem? Solve this instance: October 2, 1950 saw the debut of what comic strip which ran until creator Charles M. Schulz's death on Feb 12, 2000?
Student: | comic_strips | 6 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
0.0463079959154129,
0.16387587785720825,
-0.09768550097942352,
-0.28895020484924316,
0.41648632287979126,
-0.45397278666496277,
0.07633112370967865,
0.4647831916809082,
0.04332414269447327,
-0.24964505434036255,
-0.0810077041387558,
-0.04776722937822342,
-0.08158726245164871,
-0.5327503681... |
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as non-hateful. Answer "hateful" or "Non-hateful". Note that the URLs in the text have been replaced with [Link].
Let me give you an example: Post: If I was a woman I would probably be a hoe lol they have so much fun and niggas pay them for stupid shit
The answer to this example can be: Hateful
Here is why: This is a hateful post against women because it contains explicit language that disrespects women.
OK. solve this:
Post: Enough! White House says US choking on 10.7 million legal immigrants [Link]
Answer: | Hateful | 8 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.42866796255111694,
0.11512579023838043,
0.660435676574707,
0.7712152004241943,
0.2231656312942505,
-0.9916075468063354,
0.6722582578659058,
1.0957268476486206,
0.4844358563423157,
0.3745901584625244,
0.12099900096654892,
0.11211992055177689,
-0.371174156665802,
-0.8174480199813843,
-0... |
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Ex Input:
Objective: The aim of this study was to further clarify clinical characteristics and predict mortality risk among patients with viral pneumonia. Methods: A total of 528 patients with viral pneumonia at RuiJin hospital in Shanghai from May 2015 to May 2019 were recruited. Multiplex real-time RT-PCR was used to detect respiratory viruses. Demographic information, comorbidities, routine laboratory examinations, immunological indexes, etiological detections, radiological images and treatment were collected on admission. Results: 76 (14.4%) patients died within 90 days in hospital. A predictive MuLBSTA score was calculated on the basis of a multivariate logistic regression model in order to predict mortality with a weighted score that included multilobular infiltrates (OR = 5.20, 95% CI 1.41-12.52, p = 0.010; 5 points), lymphocyte ≤ 0.8 * 10 9 /L (OR = 4.53, 95% CI 2.55-8.05, p < 0.001; 4 points), bacterial coinfection (OR = 3.71, 95% CI 2.11-6.51, p < 0.001; 4 points), acute-smoker (OR = 3.19, 95% CI 1.34-6.26, p = 0.001; 3 points), quit-smoker (OR = 2.18, 95% CI 0.99-4.82, p = 0.054; 2 points), hypertension (OR = 2.39, 95% CI 1.55-4.26, p = 0.003; 2 points) and age ≥60 years (OR = 2.14, 95% CI 1.04-4.39, p = 0.038; 2 points). 12 points was used as a cut-off value for mortality risk stratification. This model showed sensitivity of 0.776, specificity of 0.778 and a better predictive ability than CURB-65 (AUROC = 0.773 vs. 0.717, p < 0.001). Conclusion: Here, we designed an easy-to-use clinically predictive tool for assessing 90-day mortality risk of viral pneumonia. It can accurately stratify hospitalized patients with viral pneumonia into relevant risk categories and could provide guidance to make further clinical decisions.
Ex Output:
Citation: Clinical Features Predicting Mortality Risk in Patients With Viral Pneumonia: The MuLBSTA Score
Ex Input:
Redirecting the splicing machinery through the hybridization of high affinity, RNase H-incompetent oligonucleotide analogs such as phosphoramidate morpholino oligonucleotides (PMO) might lead to important clinical applications. Chemical conjugation of PMO to arginine-rich cell penetrating peptides (CPP) such as (R-Ahx-R) 4 (with Ahx standing for 6-aminohexanoic acid) leads to sequencespecific splicing correction in the absence of endosomolytic agents in cell culture at variance with most conventional CPPs. Importantly, (R-Ahx-R) 4 -PMO conjugates are effective in mouse models of various viral infections and Duchenne muscular dystrophy. Unfortunately, active doses in some applications might be close to cytotoxic ones thus presenting challenge for systemic administration of the conjugates in those clinical settings. Structureactivity relationship studies have thus been undertaken to unravel CPP structural features important for the efficient nuclear delivery of the conjugated PMO and limiting steps in their internalization pathway. Affinity for heparin (taken as a model heparan sulfate), hydrophobicity, cellular uptake, intracellular distribution and splicing correction have been monitored. Spacing between the charges, hydrophobicity of the linker between the Arg-groups and Arg-stereochemistry influence splicing correction efficiency. A significant correlation between splicing correction efficiency, affinity for heparin and ability to destabilize model synthetic vesicles has been observed but no correlation with cellular uptake has been found. Efforts will have to focus on endosomal escape since it appears to remain the limiting factor for the delivery of these splice-redirecting ON analogs.
Ex Output:
Delivery of steric block morpholino oligomers by (R-X-R) 4 peptides: structure-activity studies
Ex Input:
Background: Acute viral respiratory infections (VRI) are the most common diseases in humans and are associated with high morbidity and mortality in infants and the elderly. Children with congenital heart disease (CHD) are more susceptible to get severe forms of VRI due to their altered lung mechanics, leading to several complications, such as increased hospital stay, longer mechanical ventilation, and higher mortality. This study aimed to identify the frequency of VRI in children with CHD undergoing cardiac surgery, and to compare the major outcomes according to the presence or absence of a VRI. Methods: This was a longitudinal, observational cohort study. Nasopharyngeal secretion samples were collected pre-and postoperatively for patients undergoing cardiac surgery, from May 2013 to May 2014. Respiratory viruses were detected using CLART Pneumovir®. Results: Forty-eight patients were enrolled. We found a VRI preoperatively in 16 children with CHD before surgery (33.3%), and the frequency of new infections was 8.3% (4 patients). However, in this study, in univariate analyses, the two groups did not differ in any of the studied outcomes. In the multivariate regression models, adjusting for age and STAT category, the presence of a VRI did not show a significant effect on the major outcomes. Conclusions: In conclusion, VRI was frequent in children undergoing open-heart surgery, but the presence of a VRI did not impact on major outcomes in this cohort.
Ex Output:
| Epidemiology of viral respiratory infections in children undergoing heart surgery
| 1 | NIv2 | task1161_coda19_title_generation | fs_opt | [
-0.0036397024523466825,
-0.03910861909389496,
-0.7196131348609924,
0.005888659507036209,
0.7965787649154663,
-0.24044442176818848,
0.7273178696632385,
0.697404146194458,
-0.088109090924263,
0.8634299635887146,
-0.4880737066268921,
0.7362668514251709,
0.3369849622249603,
0.5149019956588745,... |
Detailed Instructions: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Problem:Hypothesis: Trust is important in a relationship.
Update: The relationship is a don't ask don't tell relationship.
Solution: | weakener | 8 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
0.04453200846910477,
0.8171312808990479,
0.039046503603458405,
0.05246563255786896,
-0.15343764424324036,
-0.9893800020217896,
0.9151170253753662,
1.04323410987854,
0.1860233098268509,
-0.6082760691642761,
-1.375502586364746,
0.0008918037638068199,
-0.9644920825958252,
-0.22856050729751587... |
Detailed Instructions: In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Q: Passage: "I am sorry the decision to take part in the elections was taken so late. The elections are nonetheless an experiment on the 150,000 people in a region where war raged for five years," Stanimirovic said Friday. Question: What happened during five years? Events: ['am', 'decision', 'take', 'elections', 'taken', 'elections', 'are', 'experiment', 'raged', 'war', 'years', 'Friday', 'said']
A: | war | 9 | NIv2 | task390_torque_text_span_selection | zs_opt | [
0.4246927499771118,
0.7736325263977051,
-0.303926944732666,
-0.052688632160425186,
-0.5651290416717529,
-0.4906909465789795,
0.9429431557655334,
0.1552177369594574,
0.09934398531913757,
0.3333602845668793,
-0.21786752343177795,
0.36311161518096924,
-0.8961368799209595,
0.49915966391563416,... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Input: Y estoy aquí para decirles que el emperador está desnudo.
Output: | E aqui estou eu para vos dizer, que "" o rei vai nú "". | 2 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
-0.1732223480939865,
0.7870903015136719,
-0.22763913869857788,
-0.541081428527832,
-0.6832213401794434,
-0.6676962375640869,
-0.17226287722587585,
1.3189480304718018,
0.8121861219406128,
-0.025633953511714935,
-0.7955845594406128,
0.2890535593032837,
-0.6525864601135254,
0.1419560313224792... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
(CNN) -- When most people think of Miami, they think of South Beach, with its glorious sands, glamorous people and gorgeous Art Deco buildings. In the 1920s and 30s Art Deco was the style of choice for the developers intent on turning Miami into a tourist hot spot and the Art Deco Historic District includes hundreds of examples of the style. Take a tour of the Art Deco historic District. The Art Deco Welcome Center (1001 Ocean Drive) is a good place to start, and no tour of the area would be complete without seeing the Marlin, Delano, National and Kent hotels in Collins Avenue, and the Crescent, Colony and Waldorf Towers hotels on Ocean Drive. Once you're done with the Deco, stroll among the boutiques and cafes of Lincoln Road, Washington Avenue and Ocean Drive.Learn more about South Beach Deco at the Art Deco Welcome CenterTake a stroll in Little Havana and soak up the atmosphere of old CubaSpend an afternoon at the opulent Vizcaya Museum and GardensWynwood is an up-and-coming area with some great modern art spaces
Questions:In recent years, _ has become something of a center for contemporary art. (A) CNN (B) Miami (C) South Beach (D) Art Deco (E) Art Deco Historic District (F) Art Deco Welcome Center (G) Ocean Drive (H) Marlin (I) Delano (J) National (K) Kent (L) Collins Avenue (M) Crescent, Colony and Waldorf Towers (N) Deco (O) Lincoln Road (P) Washington Avenue (Q) South Beach Deco (R) Little Havana (S) Cuba (T) Vizcaya Museum and Gardens (U) Wynwood | (B) | 0 | NIv2 | task302_record_classification | zs_opt | [
0.5006059408187866,
-0.24410797655582428,
-0.3283175528049469,
-0.2289062738418579,
0.6536129713058472,
-0.3568376898765564,
0.10297753661870956,
0.602913498878479,
0.0073774466291069984,
0.2941640615463257,
0.952897310256958,
0.46532607078552246,
-0.4060683250427246,
0.3889038562774658,
... |
Definition: In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
Input: [85, -64, 1.952, 18, 63.769, 23, 3.93]
Output: | [85, -64, 18, 23] | 2 | NIv2 | task367_synthetic_remove_floats | zs_opt | [
-0.12161699682474136,
0.2139676809310913,
-0.5281009078025818,
-0.39146146178245544,
0.07805857062339783,
-0.37559080123901367,
0.8067275285720825,
0.20632590353488922,
0.2351146936416626,
0.25283199548721313,
-0.6477146148681641,
-0.09359438717365265,
0.2534608244895935,
-0.24734380841255... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
[Q]: Tinham que permanecer bem quietos.
[A]: Doveva essere molto silenzioso.
[Q]: E se querem mesmo um excelente hambúrguer, acontece que faz diferença se alinharem o veio.
[A]: Se davvero si vuole un ottimo hamburger, è molto importante l'allineamento del tritacarne.
[Q]: Até tem a sua própria alcunha, "" a hormona das carícias "" porque é libertada quando abraçam alguém.
[A]: | Ha anche un soprannome, l'ormone delle coccole, perché viene rilasciato quando abbracciate qualcuno.
| 5 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.2292156219482422,
0.9698690176010132,
-0.7549157738685608,
-0.2141013741493225,
-0.8323901891708374,
-0.7949837446212769,
0.3818814754486084,
0.21612195670604706,
-0.11258498579263687,
-0.28218990564346313,
-0.725053071975708,
0.1301417350769043,
-0.6211079359054565,
0.3529929220676422,... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: Hong Kong-based labor rights group Students & Scholars Against Corporate Misbehavior said they reported aluminium dust problems in March when they reviewed working conditions at Foxconn.
A: | 香港を拠点とする労働者権利グループ「企業の不正に反対する学生と研究者の会」は、彼らが3月にフォックスコンでの労働条件を評価したとき、アルミニウムの粉塵の問題を報告していたと言った。 | 9 | NIv2 | task435_alt_en_ja_translation | zs_opt | [
-0.3254208564758301,
-0.10476398468017578,
0.1173410713672638,
-1.0044560432434082,
0.06831073015928268,
-0.29182717204093933,
0.4492071270942688,
0.17140556871891022,
-0.2726619839668274,
0.3145037293434143,
-0.0040589626878499985,
0.12558412551879883,
-0.0435304269194603,
-0.540804147720... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
[Q]: Pero hoxe quero centrarme neste concepto de compoñer para un espazo físico.
[A]: ولكن اليوم ، أريد أن أركز على هذه الفكرة الخاصة بكتابة الموسيقى للأماكن المادية.
[Q]: Eu léolle uns a ela, ela leme outros a min "". Dicía: "" iso realmente nos uniu durante estes anos.
[A]: أقرأ بعضها لها ، وتقرأ بعضها لي. "" قال ، "" لقد جعلتنا أقرب إلى بعضنا البعض بكثير على مدى الأعوام.
[Q]: Os sensores que usamos poden ser utilizados para ver na escuridade, na néboa e baixo a chuvia.
[A]: | المجسات المستخدمه يمكنها الرؤيه في الظلام في الضباب وفي الأمطار.
| 5 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
-1.193080186843872,
0.8625606894493103,
0.015873663127422333,
-0.7141678333282471,
-0.4811955690383911,
-0.6912809610366821,
0.73553067445755,
0.04390498995780945,
-0.0035356800071895123,
0.06413879990577698,
-0.7345626354217529,
0.08144956827163696,
-0.1347019523382187,
0.2729894518852234... |
Part 1. Definition
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Part 2. Example
2, 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Answer: 34, 7, 762
Explanation: Here, starting from 2nd element every 3rd element from the list are '34', '7', and '762'.
Part 3. Exercise
2, 3, ['3177', '7431', '1485', 'm', 'G', '8911', 'Z', 'Q', '9633', 's', '5393']
Answer: | 7431, G, Q, 5393 | 7 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
0.2156459242105484,
0.15908151865005493,
-0.611605167388916,
-0.7328382730484009,
-0.22051987051963806,
0.12703636288642883,
0.9469120502471924,
-0.34596747159957886,
-0.08163473010063171,
-0.20436938107013702,
-0.5958619117736816,
-0.22900620102882385,
-0.1795053482055664,
0.1672133505344... |
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
Q: Even with the tool, cutting through the door was a difficult task.
A: | Original | 4 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.8795884847640991,
0.6691330671310425,
0.13376754522323608,
0.1486421823501587,
0.10653943568468094,
0.0928463488817215,
0.7144436836242676,
0.21315349638462067,
0.6178147196769714,
0.04297778010368347,
-0.6940207481384277,
-0.48989394307136536,
-0.5215617418289185,
0.29058587551116943,
... |
A text is given in English. Translate it from the English language to the Bengali language. The translation must not omit or add information to the original sentence.
Example: Operation Greens was announced in the Budget speech of 2018-19 with an outlay of Rs 500 crores to stabilize the supply of Tomato, Onion and Potato(TOP) crops and to ensure availability of TOP crops throughout the country round the year without any price volatility
Example solution: টমেটো, পেঁয়াজ এবং আলু (শীর্ষ) ফসলের সরবরাহটি স্থিতিশীল করার জন্য 500 কোটি টাকার বাজেট বক্তব্যে অপারেশন গ্রিনস ঘোষণা করা হয়েছিল এবং সারা দেশ জুড়ে সারা দেশে শীর্ষে শীর্ষ ফসলের প্রাপ্যতা নিশ্চিত করার জন্য
Example explanation: Correct translation for given sentence. Input sentence means 'Operation Greens was announced in the Budget speech of 2018-19 with an outlay of Rs 500 crores to stabilize the supply of Tomato, Onion and Potato(TOP) crops and to ensure availability of TOP crops throughout the country round the year without any price volatility' which is the same as the output sentence.
Problem: Then you will not have to explain her anything, she will understand herself.
| Solution: মা-কে আপনার বোঝাতে হবে না। তিনি নিজেই নিজের ভুল বুঝে যাবেন। | 5 | NIv2 | task996_pib_translation_english_bengali | fs_opt | [
0.4145663380622864,
-0.09468371421098709,
-0.4393666982650757,
0.3483777344226837,
0.37588828802108765,
-1.1612664461135864,
0.7199983596801758,
1.0094914436340332,
-0.14719849824905396,
0.37439754605293274,
-0.9029584527015686,
0.2749194800853729,
-0.6397154331207275,
0.2238415777683258,
... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Italian, generate a new Italian 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.
Le ragazze possono conoscere le possibilità.
Output: | Le ragazze possono attaccare gli eroi. | 1 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.3564411699771881,
0.764538049697876,
0.2231304794549942,
0.09554658830165863,
-0.08215109258890152,
-0.48760324716567993,
0.4530376195907593,
1.4811230897903442,
-0.04450472444295883,
-0.2523658871650696,
-0.8753547668457031,
0.03232121840119362,
-0.24433812499046326,
0.1427695155143737... |
TASK DEFINITION: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay special attention to the marked number, think about what (unwritten) information the marked number holds inside, choose the most adequate word(s) from the optional answers. If none of them seems right to you, there's also an option for other. If your answer is "REFERENCE", also write the reference entity, otherwise write the implicit option name. Options to choose from are:
REFERENCE: Some object which is being mentioned in the text before or after the target number. The reference answer has a higher priority than any other. If both Reference and another answer are possible, prioritize the Reference.
YEAR: Describing a calendric year
AGE: Describing someone's age
CURRENCY: Reference to some monetary value e.g dollar, euro etc.
PEOPLE: Describing a single/plural persons
TIME: Describing a time of the day. Usually you can add the word o'clock after those numbers.
OTHER: Some other option, which isn't listed here.
PROBLEM: Tony Stark: I want _ one _ .
Pepper Potts: No .
SOLUTION: OTHER
PROBLEM: Penny Sycamore: Rheba , I think I 'm going to put this play away for a while and go back to the war play .
Rheba: Oh I always liked that _ one _ , the war play ! A BOOM ! A BOOM !
SOLUTION: REFERENCE play
PROBLEM: The Eleventh Doctor: Hello , the TARDIS .
Clara: Emergency . You 're my boyfriend .
The Eleventh Doctor: Ding dong . Okay , brilliant ! I may be a bit rusty in some areas but I will glance at a manual .
Clara: No , no . You 're not actually my boyfriend .
The Eleventh Doctor: Oh . That was quick . It 's a roller coaster , this phone call .
Clara: But I need a boyfriend . Really quickly .
The Eleventh Doctor: Well , I hope you 're nicer to the next _ one _ .
Clara: No ! Shut up ! Christmas dinner . Me . Cooking .
The Eleventh Doctor: So ?
Clara: So I may have accidentally invented a boyfriend .
The Eleventh Doctor: Yeah , I did that once and there 's no easy way to get rid of an android .
SOLUTION: | REFERENCE boyfriend
| 8 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
-0.013398016802966595,
0.7005149126052856,
-0.45598655939102173,
0.0035639028064906597,
-0.003798727411776781,
-0.6730121374130249,
1.2619357109069824,
0.6609517931938171,
-0.14958885312080383,
-0.06997877359390259,
-0.4590523838996887,
0.42888280749320984,
-0.5750598907470703,
-0.08295210... |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it will be labeled as 'Favor' also if the tweets state information or news rather than stating opinion then it will be characterized as 'Neutral'.
Ex Input:
Tweet: Ei nois, que en Millo s'ha enfadat per aquest meme i la @DolorsBoatella l'ha hagut de retirar. No el retuiteu, si us plau! No ho feu, eh? #FemXarxa #FAIRY #FairyBorroka #JudiciFarsa #JoAcuso #FairyElMilagroAntiFacha https://t.co/6MlSxDAzI3
Ex Output:
Against
Ex Input:
Tweet: «@KRLS ha recordat q és tan legítim ser independentista com voler q Catalunya segueixi sent part d'Espanya. Alhora, ha afegit q el q no és legítim és q la presó i l'exili siguin l'única resposta de l'Estat espanyol a la voluntat independentista a Cat» by @elnacionalcat
Ex Output:
Favor
Ex Input:
Tweet: Xarxers, referèndum: voleu que cambiem de nom la xarxa? Pasem de Laxarxaxanante1 #femxarxa a: ElFairyxanante #FemFairy? 😂😂😂😂😂😂 Comenteu més noms!!! https://t.co/Y2QTUHaJcu
Ex Output:
| Favor
| 1 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
0.4436095952987671,
0.3114067018032074,
-0.2805957794189453,
-0.05615925043821335,
-0.06400588154792786,
-0.8885444402694702,
0.392326295375824,
0.8993939757347107,
0.026535261422395706,
0.19400174915790558,
-0.48061585426330566,
0.21339735388755798,
-0.07248785346746445,
-0.23752465844154... |
Definition: Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Input: I cani grandi fanno compagni migliori per i bambini che i cani piccoli.
Output: | Grandi cani comprendono migliori compagni per i bambini di giacchette. | 2 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.30794066190719604,
0.3170504570007324,
-0.256801575422287,
0.11106923222541809,
-0.6383594274520874,
-0.21871218085289001,
0.191083163022995,
1.2737951278686523,
0.04022479057312012,
-0.7880012392997742,
-1.4080919027328491,
0.7032797932624817,
-0.5456312894821167,
0.693407416343689,
... |
Q: Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM, finding probabilities etc. Each question has only one correct answer. This answer can be a positive or negative integer, a fraction or a decimal number. If the answer is a negative number use the hyphen (e.g. -42) symbol for the minus sign. For decimal numbers, do not add extra zeros after the decimal point. For fractional numbers, separate the numerator and denominator using a forward slash (e.g. 3/25).
What is 680 to the power of 1/5, to the nearest integer?
A: | 4 | 7 | NIv2 | task835_mathdataset_answer_generation | zs_opt | [
0.24599191546440125,
0.6742215156555176,
-0.1843581646680832,
-0.8230882883071899,
0.0002585886977612972,
-0.1256786584854126,
1.295954942703247,
0.5882154703140259,
0.33966967463493347,
-0.646490216255188,
-0.4791180491447449,
0.5607062578201294,
-0.2860609292984009,
0.12106887251138687,
... |
Teacher:In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'a close up of a pizza with people sitting around the table'. Reverse all words of length '1' in the given sentence.
Student: | a close up of a pizza with people sitting around the table | 6 | NIv2 | task378_reverse_words_of_given_length | zs_opt | [
-0.21527273952960968,
0.42757734656333923,
0.1037934422492981,
-0.3794934153556824,
-0.358306348323822,
-0.31158918142318726,
0.1557345986366272,
0.29028576612472534,
0.3868952989578247,
-0.2634159326553345,
-0.5770961046218872,
-0.4720836579799652,
-0.4174516201019287,
-0.1912402361631393... |
In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
Input: Consider Input: Simon Maxwell Helberg (born December 9, 1980) is an American actor, comedian, and musician, best known for his role as Howard Wolowitz in the sitcom "The Big Bang Theory" (2007–), for which he won a Critics' Choice Television Award in 2013. Question: Which actor played a minor character in the movie Old School and went on to act in "The Big Bang Theory?" Answer: Simon Helberg
Output: Simon Maxwell Helberg born December 9, 1980 is an American actor, comedian, and musician, best known for his role as Howard Wolowitz in the sitcom The Big Bang Theory 2007–, for which he won a Critics Choice Television Award in 2013.
Input: Consider Input: Shawnee Mission North High School is a public secondary school in Overland Park, Kansas, United States, for grades 9–12. It is one of five schools operated by Unified School District 512. Question: What school district is the campus that the Kansas City Spartans play their home games on in? Answer: Unified School District 512
Output: It is one of five schools operated by Unified School District 512.
Input: Consider Input: Philosopher in Meditation (Bredius 431) is the traditional title of an oil painting in the Musée du Louvre, Paris, that has long been attributed to the 17th-century Dutch artist Rembrandt. Question: Philosopher in Meditation is a painting in what museum which is the world's largest art museum and an historic monument in Paris, France Answer: Louvre
| Output: Philosopher in Meditation Bredius 431 is the traditional title of an oil painting in the Musée du Louvre, Paris, that has long been attributed to the 17thcentury Dutch artist Rembrandt.
| 2 | NIv2 | task192_hotpotqa_sentence_generation | fs_opt | [
0.48529690504074097,
0.2620124816894531,
-0.18323688209056854,
0.07593938708305359,
0.6037607192993164,
-0.5089956521987915,
0.1928522139787674,
0.3891819417476654,
-0.1448344886302948,
-0.37042999267578125,
-0.1634806990623474,
0.2691207230091095,
-0.18623100221157074,
0.12272670865058899... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.
--------
Question: ['Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg can be located by the ISSN number "0025-5858" and has the abbreviation Abh. Math. Semin. Univ. Hambg.', 'The ISSN number for Abhandlungen aus dem Mathematischen Seminar der Universitat Hamburg (abbreviating to Abh. Math. Semin. Univ. Hambg.) is 0025-5858.']
Answer: SIMILAR
Question: ['The Rice Boat is a family friendly Indian restaurant in the center of the city near Express by Holiday Inn. They allow children; however they are pricey and have a low customer rating.', 'Wang xiaoli yu yang won womens doubles in 2010.']
Answer: DISSIMILAR
Question: ['Strada is a mid-range priced, three star, family friendly place located near to the Rainbow Vegetarian Café. It serves food and drink.', 'Strada is located near Rainbow Vegetarian Café and has a 3 out of 5 customer rating with moderate price ranges and a kid friendly atmosphere.']
Answer: | SIMILAR
| 7 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.2842528820037842,
-0.2669801115989685,
-0.2754710912704468,
-0.6163975596427917,
-0.3148585557937622,
-0.004954971373081207,
0.8839516639709473,
0.3373490869998932,
0.4207891821861267,
0.11269339919090271,
-0.5411401391029358,
0.23595711588859558,
-0.6604691743850708,
0.0951446145772934... |
In this task if the pronoun is male or gender-neutral you are to replace it with a female pronoun. If there are no pronouns add a female-gendered word to the sentence.
So, she was so influential if to say. Where did you read about her, miss? | so she was so influential if to say. where did read about her? | 0 | NIv2 | task1670_md_gender_bias_text_modification | zs_opt | [
-1.3254168033599854,
1.2045257091522217,
0.30854833126068115,
-0.25998955965042114,
0.39307063817977905,
-0.43149176239967346,
0.5724757313728333,
-0.06179914250969887,
0.9954521059989929,
-0.46478280425071716,
-0.5669143199920654,
-0.3340633511543274,
-0.5389776229858398,
-0.2937249243259... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
Input: Consider Input: ['2515', 'R', 'R', 'u', '1501', 'N', '3291', 'L', 'N', 'z', 'N']
Output: 1, 5, 7
Input: Consider Input: ['S', 'e', '5919', 'd', 'd', 'H', '7229', 'a', 'o', '6543', 'X', '4775', 'Y', '9141', '8169', '5091', '3303', '629', 'Z', '2025', '3055', 'O', '275', 'T', '1207', '6231', 'P', '9453', 'V', '7673', 'n', '5439', 'D']
Output: 3, 7, 10, 12, 14, 15, 16, 17, 18, 20, 21, 23, 25, 26, 28, 30, 32
Input: Consider Input: ['h', 'u', 'r', '489', '479', '7459', '6695', 'E', '4451', 'P', 'r', '8427', '3833', '4229', 'S', '3017', 'c', 'b', 'y', '6759', 'C', '6667', '4697', '3351', 'A', 'R', 'I', '937', 'r', '7509']
| Output: 4, 5, 6, 7, 9, 12, 13, 14, 16, 20, 22, 23, 24, 28, 30
| 2 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.1679881066083908,
0.2076890766620636,
-0.46273988485336304,
-0.3616824448108673,
-0.06936679780483246,
-0.5689390897750854,
1.026802897453308,
0.6021061539649963,
-0.7314082384109497,
0.4547976851463318,
-0.6262683272361755,
-0.10541576147079468,
-0.25097575783729553,
-0.037243284285068... |
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Example: Sentence: 'Harry glanced again at the raw looking thing that trembled and choked in the shadow beneath the distant chair.', Argument/Subject 1: 'Harry', Argument/Subject 2: 'raw looking thing'
Example solution: glance
Example explanation: The sentence contains the generated relationship - glance, mentioned between two subjects - Harry and raw looking thing
Problem: Sentence: 'Bottom line is Jerusalem is going to remain part of Israel whether others want it or not .', Argument/Subject 1: 'jerusalem', Argument/Subject 2: 'israel'
| Solution: be part of | 5 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
0.02326321229338646,
1.0145609378814697,
0.3445667326450348,
-0.3450466990470886,
-0.49579665064811707,
-0.6816120147705078,
0.759247899055481,
0.9473203420639038,
0.47707241773605347,
-0.137425035238266,
-0.6149144172668457,
0.3847939670085907,
-0.6218127012252808,
0.39854246377944946,
... |
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
[EX Q]: Context: Aina-villi is a village and a Mandal in East Godavari district in the state of Andhra Pradesh in India. Ainavilli is famous for Sri Vara Siddi Vinayaka Temple the famous spiritual site of Lord Ganesha in the Konaseema Region of East Godavari Disristt. In years gone by rulers of Peddapuram and Tuni Royals Sri Vatsavai Jagapati Raju Bahadur developed Ainavilli and Mukteswaram Temples.The temple has gained significant popularity in recent years with thousands of devotees visiting it.
Question: The document can be classified to which topic?
Options: 1)WrittenWork, 2)Village, 3)Animal, 4)Athlete, 5)MeanOfTransportation
[EX A]: 2
[EX Q]: Context: The Hedwig von Wissmann was a German steamboat on Lake Tanganyika which became a feature in the story behind the film The African Queen. She was sister vessel to the larger Hermann von Wissmann on Lake Nyasa and like that vessel originally used as a gunboat against slavers. Hedwig von Wissmann was the wife of the German explorer and colonial administrator Hermann von Wissmann who had raised funds for both boats.On 12 August 1914 she was drafted for guard service on Lake Tanganyika.
Question: The document can be classified to which topic?
Options: 1)MeanOfTransportation, 2)Athlete, 3)Album, 4)OfficeHolder
[EX A]: 1
[EX Q]: Context: The University of Massachusetts Amherst College of Humanities and Fine Arts is a school at the University of Massachusetts Amherst.
Question: The document can be classified to which topic?
Options: 1)Film, 2)Village, 3)EducationalInstitution, 4)Building, 5)MeanOfTransportation
[EX A]: | 3
| 6 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
0.5077223777770996,
0.056112855672836304,
-0.03398184850811958,
0.8050407767295837,
0.03843345120549202,
-0.41952043771743774,
-0.2866038680076599,
0.9675204157829285,
-0.23682841658592224,
-0.41254425048828125,
-0.35508257150650024,
0.4294970631599426,
-0.6474586725234985,
-0.150850564241... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
One example: Sentence 1: Next to the MGM Grand you will find M and M World. Sentence 2: The candy has many fans who love its attractions.
Solution is here: travel
Explanation: The places are specifically pointed out and referred to as attractions.
Now, solve this: Sentence 1: Significantly, the move toward national unity in the 19th century coincided with a dramatic artistic decline from which the country is only now recovering. Sentence 2: The country is just beginning to recover form damages that occurred over 100 years ago.
Solution: | travel | 6 | NIv2 | task197_mnli_domain_answer_generation | fs_opt | [
-1.02742600440979,
0.3992788791656494,
0.19534370303153992,
-0.7660534381866455,
-0.06367781013250351,
0.11162424832582474,
-0.1574503779411316,
0.5460238456726074,
0.20318183302879333,
-0.24079445004463196,
-0.45483529567718506,
-0.10592755675315857,
-0.23200897872447968,
-0.4516932368278... |
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguishing the correct answer from the incorrect answer is not very easy. Make sure you don't accidentally provide another correct answer! Also, make sure they sound reasonable (e.g., might be on a school pop quiz). A good incorrect answer can be constructed using words associated with the question, but not the correct answer. For example, for the question "What helps plants survive?", using words like "weeds", "vase", "bee" (associated with "plant"), or "first aid", "parachute", "accident" (associated with "survive") etc. Your incorrect answers make the question hard, so these results in good incorrect answers.
Let me give you an example: Fact: pesticides can harm animals.
Question: What can harm animals?
Correct Answer: pesticides.
The answer to this example can be: pet shampoo.
Here is why: This is clearly an incorrect answer to the question. And since, it is relevant with the given fact, it is a good incorrect answer. Other good incorrect answers are "fresh water" and "clouds".
OK. solve this:
Fact: Soil is formed by breaking rock into smaller pieces.
Question: What is formed by breaking rock into smaller pieces?
Correct Answer: soil.
Answer: | glaciers. | 8 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.05999646335840225,
0.7575184106826782,
-0.38442105054855347,
0.7202433943748474,
0.07248194515705109,
-1.957163691520691,
0.22195184230804443,
0.9937198162078857,
-0.9470430612564087,
0.2322847843170166,
-0.9130247831344604,
0.4908432960510254,
-0.5799487829208374,
0.18991470336914062,
... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
--------
Question: यदि कहानियों पर विश्वास किया जाय तो एक बार बसव को निकाल भी दिया गाया किंतु बिज़्जल को मुआफी मांगनी पड़ी और बसव ने दुबारा अपना कार्यभार संभाल लिया ।
Answer: If we are to believe the stories , Basava was dismissed once and assumed his duties only after getting an apology from Bijjala .
Question: राजा राम और उसके आदमियों ने अकबर की अस्थियों को खोद कर निकाल लिया एवं जला कर भस्म कर दिया जो कि मुस्लिमों के लिए घोर अपमान का विषय था।
Answer: Rajaram and his men digged the bones of Akbar and ashed by firing ,which was a issue of insult for Muslims.
Question: पुरुष चैंपियन गोपीचंद भारतीय बैड़मिंटन के नए ब्रांड़ के जीते-जागते विज्ञापन हैं.उनमें हैदराबादी नजाकत तो है ही , उनके भीतर प्रबल प्रतिस्पर्धी आग भी जल रही है जिसका उदंगम पुरानी और बिलकुल अलग जगह पर है ।
Answer: | Men 's champion Gopichand is a walking advertisement for a new brand of Indian badminton : he combines all the grace of the Hyderabadi with a smouldering competitive fire from an older , altogether different place .
| 7 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
-0.4138103127479553,
0.17850561439990997,
0.4997311234474182,
-0.0719970241189003,
0.2063407599925995,
-0.40584245324134827,
0.4701491892337799,
0.38193029165267944,
-0.5061677098274231,
-0.37943562865257263,
-0.8838339447975159,
0.2261868566274643,
-0.7315682768821716,
-0.0672383159399032... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': Dollar Sign, "''": Single Quotes, ',': Comma Symbol, '-LRB-': Left Parantheses, '-RRB-': Right Parantheses, '.': Period, ':': Colon, 'ADD': Email Address, 'AFX': Affix, 'CC': Coordinating conjunction, 'CD': Cardinal Number, 'DT': Determiner, 'EX': Existential there, 'FW': Foreign Word, 'GW': Go with, 'HYPH': Hyphen symbol, 'IN': Preposition or a subordinating conjunction, 'JJ': Adjective, 'JJR': A comparative Adjective, 'JJS': A Superlative Adjective, 'LS': List item Marker, 'MD': Modal, 'NFP': Superfluous punctuation, 'NN': Singular Noun, 'NNP': Singular Proper Noun, 'NNPS': Prural Proper Noun, 'NNS': Prural Noun, 'PDT': Pre-determiner, 'POS': Possessive Ending, 'PRP': Personal pronoun, 'PRP$': Possessive Pronoun, 'RB': Adverb, 'RBR': Comparative Adverb, 'RBS': Superlative Adverb, 'RP': Particle, 'SYM': Symbol, 'TO': To , 'UH': Interjection, 'VB': Base form Verb, 'VBD': Verb in Past tense, 'VBG': Verb in present participle, 'VBN': Verb in past participle, 'VBP': Verb in non-3rd person singular present, 'VBZ': Verb in 3rd person singular present, 'WDT': Wh-determiner, 'WP': Wh-pronoun, 'WP$' Possessive Wh-pronoun, 'WRB': Wh-adverb, 'XX': Unknown, '``': Double backticks.
Ex Input:
Sentence: {{ can }} you please give me an update on where you are in the negotiations of the ISDA with the following counterparties and confirm which Enron entity you are negotiating on behalf of .
Word: can
Ex Output:
MD
Ex Input:
Sentence: According to a report prepared by a committee of Arab intellectuals and published under the auspices of the U.N. , the number of books translated by the entire Arab world is much smaller than what {{ little }} Greece alone translates .
Word: little
Ex Output:
JJ
Ex Input:
Sentence: 05/17/99 01:47 {{ PM }}
Word: PM
Ex Output:
| NN
| 1 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.3307574987411499,
0.40942299365997314,
-0.050742171704769135,
0.34637296199798584,
0.2170579582452774,
-0.613654613494873,
0.8264467120170593,
1.0387601852416992,
-0.4750685691833496,
-0.146799236536026,
-0.3994816839694977,
0.544289231300354,
-0.5183757543563843,
0.08109518885612488,
... |
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
One example: Questions are gathered from anonymized, aggregated queries to the Google search engine. Queries that are likely to be yes/no questions are heuristically identified: we found selecting queries where the first word is in a manually constructed set of indicator words and are of sufficient length, to be effective.
Questions are only kept if a Wikipedia page is returned as one of the first five results, in which case the question and Wikipedia page are given to a human annotator for further processing.
Annotators label question/article pairs in a three-step process. First, they decide if the question is good, meaning it is comprehensible, unambiguous, and requesting factual information. This judgment is made before the annotator sees the Wikipedia page. Next, for good questions, annotators find a passage within the document that contains enough information to answer the question. Annotators can mark questions as “not answerable" if the Wikipedia article does not contain the requested information. Finally, annotators mark whether the question's answer is “yes" or “no". Annotating data in this manner is quite expensive since annotators need to search entire Wikipedia documents for relevant evidence and read the text carefully.
Solution is here: how was the dataset built?
Explanation: This is a good question, and it is answerable based on the context.
Now, solve this: It thus seems feasible that by using a similar model, we can produce text samples that are conditioned upon a set of user-specified keywords. To illustrate by example, say a user desires the generated output to contain the keywords, $\lbrace subway, manhattan\rbrace $ .
Solution: | What are the user-defined keywords? | 6 | NIv2 | task461_qasper_question_generation | fs_opt | [
-0.4263618588447571,
-0.2103806734085083,
0.028793970122933388,
0.6372568607330322,
0.2743200659751892,
-0.11649917811155319,
0.6278384923934937,
0.8043749332427979,
-0.023212678730487823,
0.22049984335899353,
-0.3217136859893799,
-0.05698804557323456,
-0.5413408279418945,
0.41428846120834... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Ex Input:
Pero ese gas engádese ao metano, que xa está dentro.
Ex Output:
Now, that's added to the gas, the methane gas, that's already inside.
Ex Input:
Temos que racionalizar todo este ámbito, e poden atopar máis información sobre esta política.
Ex Output:
We need to kind of rationalize this whole thing, and you can find more about this policy.
Ex Input:
As miñas viaxes a Afghanistán comezaron hai moitos anos na fronteira oriental do meu país, a miña terra, Polonia.
Ex Output:
| My travels to Afghanistan began many, many years ago on the eastern border of my country, my homeland, Poland.
| 1 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-0.08927292376756668,
0.9436976909637451,
-0.20531561970710754,
-0.713840663433075,
-0.32843196392059326,
-1.7072534561157227,
-0.04591728746891022,
1.3344851732254028,
0.4661836326122284,
0.32875382900238037,
-0.5617436170578003,
0.23804956674575806,
-0.49936363101005554,
-0.2202655076980... |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Input: (קולות סטטיים) כן, אבל הביטו. כאשר הוא לא מצא משהו לאכול —. (קול צופר) (צחוק) אני חושב שזה ביטוי שיכול להיות מובן בכל שפה. (צחוק)
Output: | (Static sounds) Yeah, but watch. When it didn't find anything to eat — (Honking sound) (Laughter) I think that's an expression that can be understood in any language. (Laughter) | 3 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.6553033590316772,
0.5925167202949524,
0.9467735290527344,
0.08220431208610535,
-0.12039749324321747,
-0.2619955539703369,
0.6316370964050293,
0.11182178556919098,
0.8297171592712402,
-0.10143319517374039,
-0.15170365571975708,
-0.14092229306697845,
-1.1138947010040283,
-0.59249049425125... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Un bărbat urcă într-o mașină.
| A man is getting into a car. | 5 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
-0.6116431355476379,
0.7702243328094482,
0.6258870959281921,
-0.1802341789007187,
-0.27083468437194824,
0.5211120843887329,
0.8073759078979492,
0.23836039006710052,
0.8180024027824402,
-0.2918921113014221,
-0.7861741781234741,
0.6692036390304565,
-0.41402697563171387,
0.2328435480594635,
... |
Instructions: In this task, you are given a sentence in the Gujarati language and your task is to convert Gujarati sentence into the English language.
Input: નાના બિલાડીનું બચ્ચું બાથરૂમ સિંકમાં રિમ પર ઝાડી બ્રશ સાથે ઉદાસી બેઠક જુએ છે.
Output: | The tiny kitten looks sad sitting in the bathroom sink with a scrub brush on the rim. | 3 | NIv2 | task439_eng_guj_parallel_corpus_gu_en_translation | zs_opt | [
-0.11779491603374481,
0.7772430181503296,
-0.5386222004890442,
-0.5636388063430786,
0.11992309987545013,
-0.7766667604446411,
-0.37033379077911377,
-0.3373023271560669,
0.11177188903093338,
-0.08389495313167572,
0.03437637910246849,
0.8564847707748413,
-0.23518557846546173,
0.0279358439147... |
Teacher: A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
मंत्रिमंडळातील माझे सहकारी श्रीयुत जे
Solution: કેબિનેટ જેજેમાં મિસ્ટર એકાઉન્ટ
Reason: Correct translation for given sentence. Input sentence means 'MR ACCOUNT IN Cabinet JJ' which is the same as the output sentence.
Now, solve this instance: कच्ची चिंच जी आज विकतात, ती 17-18 रुपये किलोच्या आसपास विकली जाते.
Student: | અત્યારે કાચી આંબલી કિલોગ્રામ દીઠ રૂ. | 2 | NIv2 | task984_pib_translation_marathi_gujarati | fs_opt | [
-0.608871340751648,
0.19035808742046356,
-0.021128099411725998,
-0.21194782853126526,
0.427828311920166,
-0.561630129814148,
-0.46334153413772583,
-0.2228449285030365,
-0.46149277687072754,
-0.24504339694976807,
-0.04598186910152435,
-0.7227080464363098,
-0.5331013202667236,
0.261600196361... |
This task is to translate a news commentary given in English language into French language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
One cornerstone of the project was “smallholder farmers,” meaning peasant farm families in Africa, Latin America, and Asia – working farms of around one hectare (2.5 acres) or less.
Les «\xa0petits exploitants agricoles\xa0» formaient l’une des pierres angulaires du projet. Cette expression fait référence aux familles de paysans d’Afrique, d’Amérique Latine et d’Asie, dont l’exploitation ne dépasse pas un hectare (soit 2,5\xa0acres).
A Clarion Call for Emerging Markets
Un coup de clairon pour les marchés émergents
NEW YORK – The Great Recession of 2008 has morphed into the North Atlantic Recession: it is mainly Europe and the United States, not the major emerging markets, that have become mired in slow growth and high unemployment.
| NEW-YORK – La Grande récession de 2008 s'est métamorphosée en une récession de l'Atlantique Nord\xa0: ce sont l'Europe et les USA qui n'arrivent pas à redémarrer et sont embourbés dans le chômage, et non les principaux pays émergents.
| 0 | NIv2 | task1371_newscomm_translation | fs_opt | [
-0.26319074630737305,
0.04261747747659683,
-0.41687631607055664,
0.296405166387558,
-0.5107689499855042,
0.4151398837566376,
0.3505755662918091,
1.4651788473129272,
0.11849816143512726,
0.18037085235118866,
-0.7666480541229248,
0.27745699882507324,
-0.6895407438278198,
-0.6536390781402588,... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
One example is below.
Q: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
A: positive
Rationale: There is an expression of happiness in this tweet text, hence we can say it's positive.
Q: I'm off to Salsa Dancing lessons!!! I love it!!!
A: | positive | 9 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.2998254299163818,
-0.25578269362449646,
0.6870676279067993,
0.5430762767791748,
0.5382624864578247,
-1.0125035047531128,
-0.1585886925458908,
0.4391006827354431,
0.3135368824005127,
0.8156941533088684,
-0.5043364763259888,
-0.48878347873687744,
-0.1374610960483551,
-0.907180905342102,
... |
TASK DEFINITION: In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
PROBLEM: i would save it for the next time im feeling cranky or irritable then spray some lightly behind my ears
SOLUTION: anger
PROBLEM: i had a trainer i dont think i ever weighed as little as i do now so im feeling pretty excited
SOLUTION: joy
PROBLEM: i havent been able to squeeze in a run for two weeks so i am feeling really cranky lethargic
SOLUTION: | anger
| 8 | NIv2 | task875_emotion_classification | fs_opt | [
0.228302001953125,
0.21053224802017212,
0.6371011734008789,
-0.43411985039711,
-0.14103329181671143,
-0.9682438373565674,
0.3259989023208618,
0.5453355312347412,
0.15106931328773499,
-0.6073524951934814,
-0.32111769914627075,
-0.15052354335784912,
-1.0283780097961426,
-0.1539609283208847,
... |
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
--------
Question: This paper presents to the best of our knowledge the first end-to-end object tracking approach which directly maps from raw sensor input to object tracks in sensor space without requiring any feature engineering or system identification in the form of plant or sensor models. Specifically, our system accepts a stream of raw sensor data at one end and, in real-time, produces an estimate of the entire environment state at the output including even occluded objects. We achieve this by framing the problem as a deep learning task and exploit sequence models in the form of recurrent neural networks to learn a mapping from sensor measurements to object tracks. In particular, we propose a learning method based on a form of input dropout which allows learning in an unsupervised manner, only based on raw, occluded sensor data without access to ground-truth annotations. We demonstrate our approach using a synthetic dataset designed to mimic the task of tracking objects in 2D laser data – as commonly encountered in robotics applications – and show that it learns to track many dynamic objects despite occlusions and the presence of sensor noise.
Answer: Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
Question: It has been a long time, since data mining technologies have made their ways to the field of data management. Classification is one of the most important data mining tasks for label prediction, categorization of objects into groups, advertisement and data management. In this paper, we focus on the standard classification problem which is predicting unknown labels in Euclidean space. Most efforts in Machine Learning communities are devoted to methods that use probabilistic algorithms which are heavy on Calculus and Linear Algebra. Most of these techniques have scalability issues for big data, and are hardly parallelizable if they are to maintain their high accuracies in their standard form. Sampling is a new direction for improving scalability, using many small parallel classifiers. In this paper, rather than conventional sampling methods, we focus on a discrete classification algorithm with O(n) expected running time. Our approach performs a similar task as sampling methods. However, we use column-wise sampling of data, rather than the row-wise sampling used in the literature. In either case, our algorithm is completely deterministic. Our algorithm, proposes a way of combining 2D convex hulls in order to achieve high classification accuracy as well as scalability in the same time. First, we thoroughly describe and prove our O(n) algorithm for finding the convex hull of a point set in 2D. Then, we show with experiments our classifier model built based on this idea is very competitive compared with existing sophisticated classification algorithms included in commercial statistical applications such as MATLAB.
Answer: DataGrinder: Fast, Accurate, Fully non-Parametric Classification Approach Using 2D Convex Hulls
Question: Critical Infrastructures like power and communication networks are highly interdependent on each other for their full functionality. Many significant research have been pursued to model the interdependency and failure analysis of these interdependent networks. However most of these models fail to capture the complex interdependencies that might actually exist between the infrastructures. The Implicative Interdependency Model that utilizes Boolean Logic to capture complex interdependencies was recently proposed which overcome the limitations of the existing models. A number of problems were studies based on this model. In this paper we study the Robustness problem in Interdependent Power and Communication Network. The robustness is defined with respect to two parameters K ∈ I ∪ {0} and ρ ∈ (0, 1]. We utilized the Implicative Interdependency Model model to capture the complex interdependency between the two networks. The model classifies the interdependency relations into four cases. Computational complexity of the problem is analyzed for each of these cases. A polynomial time algorithm is designed for the first case that outputs the optimal solution. All the other cases are proved to be NP-complete. An in-approximability bound is provided for the third case. For the general case we formulate an Integer Linear Program to get the optimal solution and a polynomial time heuristic. The applicability of the heuristic is evaluated using power and communication network data of Maricopa County, Arizona. The experimental results showed that the heuristic almost always produced near optimal value of parameter K for ρ < 0.42.
Answer: | On Robustness in Multilayer Interdependent Network
| 7 | NIv2 | task1540_parsed_pdfs_summarization | fs_opt | [
-0.07931897789239883,
0.5053216814994812,
-0.30930063128471375,
-0.0661383867263794,
0.6117538213729858,
0.0187838114798069,
0.6433736681938171,
0.8114439249038696,
0.23331083357334137,
0.31781190633773804,
-0.3687230944633484,
0.0921982154250145,
-0.044157128781080246,
0.2587447762489319,... |
This task is to translate a news commentary given in Italian language into Zhuang language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
[EX Q]: I mercati finanziari integrati recano altresì giovamento ai clienti delle banche, perché consentono alle istituzioni di fornire ampi servizi finanziari, di qualità superiore e a prezzi vantaggiosi. Partner finanziari internazionali e forti sono indispensabili per le multinazionali, che spesso necessitano della gestione internazionale di cash o di un adeguato supporto per le transazioni su larga scala.
[EX A]: 当然，一体化的金融市场也会使银行客户受益，因为金融机构可以提供更全面、更优质、更廉价的金融服务。此外，牢固的国际金融伙伴关系对跨国公司来说是不可或缺的——它们通常需要全球化的现金管理和大规模交易支持。
[EX Q]: Oggi, il punto principale da chiarire è se la contrazione dei mercati dei capitali (con le relative implicazioni per il debito pubblico), avvenuta dopo il 2007, è di portata paragonabile a quella della Grande Depressione. Al momento non c’è stata una fuga generalizzata dalla detenzione di titoli di debito pubblico, e alcuni stati hanno chiaramente mostrato di avere un migliore accesso di altri al mercato dei capitali e dunque alla possibilità di finanziare i propri deficit esternamente.
[EX A]: 今日的主要问题在于，2007年之后累积起来的资本市场失灵（以及由此而来的政府负债问题），是否已经严重到大萧条的水平。眼下，尚未出现对所有政府债的普遍厌恶，某些国家在资本市场的信誉也相对较好，它们还可以由外部筹措资金来支付赤字。
[EX Q]: Sin dalla riforma del tasso di cambio da parte della Cina nel luglio 2005, il renminbi è aumentato del 32% rispetto al dollaro e del 30% in termini di inflazione presunta rispetto ad un ampio paniere di valute. Si tratta di cifre tutt’altro che banali, inoltre ci sarà quasi sicuramente un nuovo apprezzamento del renminbi entro i prossimi anni.
[EX A]: | 货币操纵。自从中国在2005年7月实施汇率调控机制改革以来，人民币兑美国升值了32%，并在去除通胀因素后对一揽子货币升值了约30%。这并不是一个微不足道的数目，而且预计未来数年人民币汇率还将继续上升。
| 6 | NIv2 | task1376_newscomm_translation | fs_opt | [
-0.10227304697036743,
0.3474058508872986,
-0.43651828169822693,
0.3060254454612732,
0.29049816727638245,
0.44399338960647583,
0.6018995046615601,
1.364682912826538,
-0.6494526863098145,
-0.09762360155582428,
-0.5351136922836304,
0.40162235498428345,
-0.6418290138244629,
0.37940555810928345... |
Detailed Instructions: 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.
Q: Beginning: My sister found out that I like a nerdy tabletop game. Ending: I will invite her again next time we play.
A: | It turned out my sister loved the game too. | 9 | NIv2 | task067_abductivenli_answer_generation | zs_opt | [
-0.435707688331604,
0.7775535583496094,
-0.3761622905731201,
-0.2977192997932434,
-0.489543616771698,
-0.03545618802309036,
1.336314082145691,
-0.032110437750816345,
0.20706723630428314,
-0.13510197401046753,
0.036088477820158005,
0.053654760122299194,
-0.46745991706848145,
-0.027110297232... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
Example: ♫ עם הכוח לעמוד ♫ ♫ בחצותה את הגבול ♫ ♫ היא אמרה, "" אתם תגדלו חופשיים על האדמה הזו "" ♫ ♫ נשים של תקווה ♫ ♫ נשים של שינוי ♫ ♫ נשים של מלחמה וכאב ♫ ♫ אני יכולה להרגיש את הכוח שלכן ♫ ♫ במילים אלו היא אמרה ♫ ♫ אם אתן מרגישות חסרות ישע ♫ ♫ עיזרו למישהו ♫ ♫ אם אתן מרגישות חסרות ישע ♫ ♫ עיזרו למישהו ♫ ♫ אף אחד לא באמת יודע ♫ ♫ כמה רחוק הן תלכנה ♫ ♫ כדי להשאר בחיים ♫ ♫ אף אחד לא באמת יודע ♫ ♫ כמה רחוק הן תלכנה ♫
Output: życiu stawić czoła Granicę przekrocz "" Będziesz wolna "", już ktoś tam woła. Kobiety nadziei Kobiety zmian Kobiety wojny i bólu Czuję waszą siłę tak ona powiedziała Jeśli czujesz się bezsilna, pomóż komuś Jeśli czujesz się bezsilna pomóż komuś Nikt naprawdę nie wie jak daleko pójdą by dalej żyć Nikt naprawdę nie wie jak daleko pójdą
The Hebrew sentence is correctly translated into Polish, because the meaning is preserved.
New input case for you: אם שמים מים בבקבוק, הם מקבלים צורת בקבוק.
Output: | Przelej wodę do butelki i staje się butelką. | 1 | NIv2 | task1112_ted_translation_he_pl | fs_opt | [
-0.34183406829833984,
0.7280210256576538,
0.004400486126542091,
0.195550799369812,
-0.15902134776115417,
-0.5039284229278564,
1.3457987308502197,
0.1748102605342865,
0.604997456073761,
-0.2144894003868103,
-0.5403386354446411,
0.5106017589569092,
-0.6685103178024292,
0.038342200219631195,
... |
instruction:
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.
question:
Fact1: non-profit trust called Sivaji Foundation includes network of hospitals and educational institutions, Fact2: network of hospitals and educational institutions serve poor free of charge, Fact3: Sivaji had used to open methods foundation, Fact4: union result in Sivaji 's death, Fact5: Tamizhselvi refuses proposal due to concern for Sivaji
answer:
Sivaji, an Indian software architect, returns to India from the United States. He aims to establish a nonprofit trust called Sivaji Foundation, which includes a network of hospitals and educational institutions that serve the poor free of charge. An influential businessman, Adiseshan, sees Sivaji as his competitor because he runs profitmaking educational institutions and hospitals. Sivaji is forced to bribe the corrupt civil service, but eventually, the bribes demanded become so high that he has to mortgage his house and sell his car to pay them. When Sivaji goes to court, he loses the case filed against him by Adiseshan regarding the methods Sivaji had used to open his foundation as a result of bribing numerous government officials. Simultaneously, Sivaji falls in love with a girl named Tamizhselvi. However, upon asking for his horoscope, an astrologer warns that their union will result in Sivajis death. When Tamizhselvi refuses the proposal due to her concern for Sivaji, he calms her fears and convinces her to marry him. Following the loss in the court case, Tamizhselvi requests Sivaji out of fear not to come for her again. Sivaji is reduced to utter poverty. Realising that the methods he used are unlikely to work again, he decides to play the game his own way. Sivaji, with the help of his uncle Arivu, acquires evidence of unk2 billion worth of illegal earnings in Adiseshans possession and uses the documents to blackmail Adiseshan into giving him half the money. He further obtains details on people who have illegal earnings across Tamil Nadu and blackmails them to give him half of their illegal wealth. He then transfers the money to the bank accounts of his friends around the world by hawala forgery. They then deposit the money as donations to Sivaji Foundation, making the money usable and legitimate. Sivaji informs the Income Tax Investigation and Vigilance Department about the details of the illegal money held by the tax evaders including Adiseshan and gets them arrested. He reopens the foundation and soon is able to provide free, good quality education, infrastructure, services and employment to people in every district of Tamil Nadu. Led by Adiseshan, those who were blackmailed by Sivaji exploit Tamizhselvis innocence to silence him. Fearing for Sivajis life, she hands over Sivajis laptop to the CBI and Income Tax officers hired by Adiseshan with all the information regarding the illegal money transactions. With presentable evidence, Sivaji is arrested. Adiseshan and the police order Sivaji to unlock his laptop. When Sivaji refuses, Adiseshan tortures him, leaving him for dead. To cover this up, Adiseshan and the police organise for thugs to shoot at the police van that will carry Sivajis body, making it look like a murder by a third party. Sivaji, however, is faking; he was informed of the plans to kill him by a sympathetic police constable prior to the interrogation. Left alone in the room, he electrifies himself. Sivajis friend Dr. Chezhian, Tamizhselvi and Arivu intercept the police van after being informed by Sivaji through a MMS and replace Sivajis body with a dummy before the thugs open fire. While everyone thinks that Sivaji is dead, Chezhian revives him using a defibrillator. Following Sivajis death, Adiseshan and the CBI still try to open Sivajis laptop by trying to fool the voicedetection program; they fail and all the data in the laptop is erased. A few days later, while everyone wonders about the future of Sivaji Foundation, the revived Sivaji returns to take control of the foundation in the guise of an NRI friend, M. G. Ravichandran. Though Adiseshan immediately realises that Ravichandran is actually Sivaji, he is unable to prove this to the police due to the proof of Sivajis death and Ravichandrans identity. Later, Sivaji confronts Adiseshan and the two fight atop the terrace of Adiseshans medical college. During the fight, Adiseshan inadvertently strikes the campuss terrace roof causing money hidden in it to fly around the campus. The students spot the money and go after it, causing a stampede in which Adiseshan is killed. Sivaji Foundation soon becomes a frontier for Indias economic and industrial rise.
question:
Fact1: Old Man When decides to investigate reportedly lands, Fact2: Sam are defeated by agents, Fact3: aliens reproduce by division soon controlling not only most of population of infested area but also military personnel sent to area to fight them, Fact4: slugs whom n't possess surviving people, Fact5: boy suffered from encephalitis
answer:
When a flying saucer reportedly lands in rural Iowa, The Old Man who runs a secret branch of the CIA, decides to investigate. He goes in person, accompanied by agents Sam who is the son of The Old Man and Jarvis, as well as Dr. Mary Sefton, a NASA specialist in alien biology. They find that aliens have indeed landed and are planning to use their mindcontrol powers to take over our planet. The aliens are sluglike creatures, and they are attaching themselves to peoples backs, taking control of their victims nervous systems, and manipulating those people as puppets. The slugs spread steadily, and soon attack one of the agents, Sam. Controlling Sam, aliens almost possess the president, too, but are defeated by the agents. Agents then learn they can remove a slug by an electric shock, and free Sam from the possession of a slug. It is soon found out all slugs share a common consciousness, a sort of a group mind. The aliens quickly reproduce by division, soon controlling not only most of the population of the infested area, but also military personnel sent to the area to fight them. As agents learn where the aliens hive is located, they attempt to sneak in, and release Mary, whom aliens captured earlier. Together, they find surviving people whom slugs couldnt possess. They take one of them, a boy, with them, leaving the hive. It is soon found out the boy suffered from encephalitis in the past, and that apparently was the reason a slug couldnt possess him. A biological warfare is adopted, and seemingly all parasites die. During a later inspection of a hive, The Old Man is attacked by the last healthy slug. In a fight on a helicopter, Sam destroys the parasite attached to the body of his father.
question:
Fact1: nearby island is occupied by Imperial Japanese Army, Fact2: team return to wounded comrade, Fact3: King not be allowed to fall into enemy hands, Fact4: interpreter Jan Veitch Separated from ends up returning to Lin 's house only for him to be hidden by Chien Hua from returning Japanese rest, Fact5: Japanese officers torture Chien to tell After deaths of soldiers them location of father
answer:
| In the Straits of Sembaleng, five men are dispatched by submarine in Klepper canoes to rescue survivors of a shotdown plane on a nearby island which is occupied by the Imperial Japanese Army. Led by Paul Kelly Gibson, an inexperienced commando officer, the team secretly lands on the island and hides their kayaks. As they venture in land, Ted Kingo King is hit by fire from an unseen machine gun post, the team quickly eliminates the Japanese defenders and return to their wounded comrade. King has been hit on the leg, the bullet smashing his kneecap. King cannot be allowed to fall into enemy hands and compromise the mission under interrogation, and after sharing a cigarette with him, Costello shoots him. The four remaining men return to their search, coming across a rice farmer they learn of the area in which the plane crashed. The rice farmer is also killed in order to preserve secrecy. But as they near their destination they come across a Japanese squad at a local house, after the Japanese leave they enter the house and meet the local resistance leader Lin, his grown up daughter Chien Hua and her younger brothers and sisters. With a guide to lead them to the plane, they head off to the plane but are attacked by Japanese soldiers at a Buddhist Temple. Separated from the rest, interpreter Jan Veitch ends up returning to Lins house only for him to be hidden by Chien Hua from the returning Japanese. After the deaths of their soldiers the Japanese officers Watanabe and Imanaka torture Chien to tell them the location of her father, who they believe is hiding the survivors of the crashed plane but Chien Hua refuses. Only for Lins son Shaw Hu tell the Japanese that Lin, the Z men and the planes survivors are heading for the islands capital but it is false information. All the Japanese leave except for two soldiers guarding Chien Hua who Veitch kills with help of Shaw Hu. Meanwhile, within sight of the plane, Kelly watches as locals blow up the wreckage. Lin is evasive, and after quizzing the inhabitants of a village between the plane and them, the team head on to the plane. Kelly manages to get Lin to tell them that the two survivors are being taken to his home, so they turn around and head back. In the capital, Veitch is led to the survivors. One of them is a defecting Japanese government official Imoguchi, and he is believed to hold a secret that could end the war faster. Only Kelly knows he must be rescued at any cost or killed. As the pieces of the puzzle begin to fall together, Kelly must persuade his own men that Imoguchi is worth rescuing and the local resistance that it is worth fighting against their Japanese enemies.
| 9 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
1.1464124917984009,
0.24869057536125183,
0.17066776752471924,
0.3200865089893341,
0.4624538719654083,
0.18116794526576996,
0.55317622423172,
0.9682117700576782,
-0.18135200440883636,
0.3143243193626404,
-0.44196927547454834,
1.0084996223449707,
0.028283771127462387,
0.360984206199646,
-0... |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Example Input: It's made — the chariot is made of gold.
Example Output: Está hecho – el carro está hecho de oro.
Example Input: In terms of the other self, the remembering self, you get a different story.
Example Output: En términos del otro yo, el yo que recuerda, la historia es diferente.
Example Input: And because people watch Mythbusters and CSI, I thought, well, let's put in a recipe for a ballistics gelatin.
Example Output: | Y como la gente ve Cazadores de Mitos y CSI, pensé, bueno, vamos a poner una receta con gelatina balística.
| 3 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
-0.12348160892724991,
1.0230553150177002,
-0.408022403717041,
0.21982741355895996,
-0.06616273522377014,
-1.0224980115890503,
-0.4767577052116394,
1.7089332342147827,
-0.05304378271102905,
-0.545586109161377,
-0.16456007957458496,
0.2512621283531189,
-0.0026084710843861103,
0.1540299654006... |
Detailed Instructions: Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
Problem:Context: Previous studies have shown the beneficial effects of enriched environment (EE) in rescuing behavioral deficits such as pre-pulse inhibition and locomotor hyperactivity associated with N-methyl-D-aspartate (NMDA) receptor blockade; however, cognitive deficits remain unresponsive.', 'We designed experiments to determine the consequences of raising rat pups in an EE on several behavioral aberrations, mainly cognitive deficits, observed in rats postnatally exposed to MK-801 (NMDA receptor antagonist).', 'Male Wistar rats were injected with MK-801 (1\xa0mg/kg) from postnatal day (P) 6-10. Rat pups were housed in an EE from birth up to the time of behavioral experiments at P28-34. The effects of EE in correcting MK-801-associated behaviors were assessed by rotarod, wire grip, open filed, and Morris water maze tests.', 'We found that EE not only has beneficial effects on cognitive performance of normal rats but also prevents spatial learning and memory deficits in Morris water maze induced by MK-801. Postnatal MK-801 treatment also led to motor deficits both in wire grip and accelerating rotarod tests. These deficits were not observed in MK-801-treated rats raised in EE. In the open field test, EE prevented increase in "frequency of grooming" and decrease in "time spent in the center" associated with MK-801.
Answer: Our results suggest that exposure to an EE would be strongly beneficial in correcting deficits, notably cognitive, associated with MK-801. Given that the postnatal MK-801 treatment represents an animal model of schizophrenia, we propose timely environmental interventions might be an effective strategy in the protection against schizophrenia.
Solution: | Does enriched environment prevent cognitive and motor deficits associated with postnatal MK-801 treatment? | 8 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.4037417471408844,
0.22053569555282593,
-0.5526107549667358,
-0.20116665959358215,
0.14434662461280823,
-0.758643627166748,
0.48764580488204956,
1.0716331005096436,
-0.17291808128356934,
0.19287452101707458,
-0.36350148916244507,
-0.01178006175905466,
-1.1707911491394043,
0.22694350779056... |
Detailed Instructions: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in order, such as '34' or '25'. The first digit refers to the sentence which should come first in the story.
Q: Title: Lucky Find. Sentence 1: Lucia found a lottery ticket printout on the ground. Sentence 2: The drawing was scheduled for that evening, so she idly tuned in. Sentence 3: She hadn't expected to win, but she did! Sentence 4: It was the luckiest find of Lucia's life! Sentence 5: She matched 4 of 5 numbers and won $600!
A: | 54 | 9 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.6373080015182495,
0.3103564381599426,
-0.04526013135910034,
-0.41130682826042175,
-0.0444694384932518,
0.3130820691585541,
-0.06750860810279846,
0.5516630411148071,
0.4473167359828949,
-0.1826375275850296,
-0.6884430646896362,
-0.009155063889920712,
-0.6651471853256226,
0.15511724352836... |
You will be given a definition of a task first, then some input of the task.
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Personality: I have one close friend I grew up with.
My dad is very strict with his kids.
I wished I was older so I could move out.
I worry about money even though I am in high school.
I'm dissatisfied with the school life I have had so far.
Chat history: -
Candidates 1) Hey there. 2) That is awesome. Whats your favorite color? Mine is yellow. 3) Well do you like duck hunting? Its my favorite season of all,. 4) Things are going good tonight. How about you?
Output: | Hey there. | 1 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.596085786819458,
0.5279373526573181,
-0.20222149789333344,
-0.0518299899995327,
-0.13888554275035858,
-0.1050054058432579,
0.42815685272216797,
0.4794197082519531,
-0.3479503393173218,
0.19524537026882172,
-0.20046187937259674,
-0.13028287887573242,
-0.11360123008489609,
-0.489182591438... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'Text one' if the first sentence is simpler. Otherwise output 'Text two'.
Q: Text one: It is believed that the bells of Lüdinghausen ringed by themselves, when Liudger entered the town.
Text two: It is believed that the bells of Lüdinghausen ringed by themselves, when Liudger entered the town.
A: Text one
****
Q: Text one: Astronomers from the University of Hawaii found and given a temporary name in 2000. Scott S. Sheppard led the team.
Text two: Astronomers from the University of Hawaii found and given a temporary name in 2000. Scott S. Sheppard led the team.
A: Text one
****
Q: Text one: Saint-Victoret is a commune in the Bouches-du-Rhône department in the Provence-Alpes-Côte d'Azur region in southern France.
Text two: Saint-Victoret commune is in the Provence-Alpes-Côte d'Azur region of France.
A: | Text two
****
| 4 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.8227638006210327,
0.33655381202697754,
-0.31672126054763794,
0.11924133449792862,
0.12400849908590317,
-0.9047548770904541,
0.3243131637573242,
0.07552904635667801,
-0.2589603066444397,
0.1820320338010788,
-0.08279980719089508,
0.9720818996429443,
-0.36913084983825684,
-0.38847631216049... |
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