inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then some input of the task.
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alte... | Ava's friend did it for her. A few days later, Ava passed away. | 1 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.41628679633140564,
-0.0962136834859848,
0.30757731199264526,
0.26582619547843933,
0.22596193850040436,
0.062017641961574554,
0.09179076552391052,
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-0.1108299195766449,
-0.2793847918510437,
-0.10548277199268341,
-0.12088838219642639,
-0.612769842147... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Let me give you an example: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
The answer to this example can be: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المست... | لذا فإن سرعة تبني الأشياء ستصبح أكثر سرعة بطريقة لا يمكننا تصورها ، عندما تصل 6.3 بلايين شخص خليويًا وهم في تزايد مستمر. | 8 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.41534924507141113,
0.9239093065261841,
0.16350872814655304,
-0.4744710326194763,
-0.8101851940155029,
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0.7014719843864441,
0.2999558448791504,
0.3997341990470886,
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-1.3811283111572266,
0.2484104335308075,
-0.9266835451126099,
0.16402629017829895,
... |
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.
E... | Original
| 1 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.8739360570907593,
0.3941195607185364,
0.25524136424064636,
0.07377259433269501,
-0.284168004989624,
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-1.2571913003921509,
-0.3153865933418274,
-0.3513328433036804,
0.05380059406161308,
... |
A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with the list of its ... | 426 | 0 | NIv2 | task090_equation_learner_algebra | zs_opt | [
0.25318288803100586,
0.8147004842758179,
-0.6608883142471313,
-0.6733084917068481,
-0.4375157356262207,
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-0.0539909228682518,
-0.9599659442901611,
-0.6375513076782227,
0.8373603820800781,
-0.9639241099357605,
0.06384958326816559,... |
Definition: In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Input: Passage: Wiley was the Repub... | Answer: 5 | 2 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
-0.6107167601585388,
0.1657654494047165,
0.039339449256658554,
0.5430648922920227,
0.14554694294929504,
-0.4614872634410858,
-0.24235975742340088,
0.13323727250099182,
0.45719289779663086,
0.17756542563438416,
-0.4738731384277344,
0.2214585691690445,
0.23106446862220764,
-0.092656888067722... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to con... | guy gets tackled | 4 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
-0.14182764291763306,
0.6871945858001709,
0.07865411043167114,
-0.5748049020767212,
0.05055881664156914,
-0.5333974361419678,
-0.2024373710155487,
0.3856748640537262,
0.4882742762565613,
-0.40025314688682556,
-0.8943610191345215,
-0.21484780311584473,
-0.6603003740310669,
-0.16997294127941... |
You will be given a definition of a task first, then some input of the task.
You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: પુનાદ્રા (તા. દહેગામ) <M... | ભારત | 1 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
0.3470992147922516,
0.8763514161109924,
-0.019955135881900787,
-0.11540073901414871,
-0.07850052416324615,
-0.224295973777771,
0.2567659616470337,
1.2388889789581299,
-0.39405691623687744,
0.07836483418941498,
-0.6605510115623474,
0.6954836845397949,
-0.05454011261463165,
-0.76471346616745... |
Teacher:Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story... | At first there were not many birds in the trap. Sarah used a different type of trap. The new trap caught many birds and even squirrels! | 6 | NIv2 | task269_csrg_counterfactual_story_generation | zs_opt | [
0.8058229684829712,
0.17976996302604675,
-0.22138234972953796,
0.15055781602859497,
0.13251222670078278,
-1.2626715898513794,
0.21598754823207855,
1.4992995262145996,
-0.6171540021896362,
-0.12713947892189026,
-0.35010838508605957,
-0.1526164710521698,
-0.7054188847541809,
-0.1141455993056... |
Definition: This task is about translating a given Spanish language sentence to English.
Input: Vayamos al grano, de acuerdo?
Output: | Vayamos al grano, de acuerdo? | 2 | NIv2 | task1692_qed_amara_translation | zs_opt | [
0.17920351028442383,
0.5963327884674072,
0.21885012090206146,
0.030962640419602394,
-0.5053108930587769,
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-0.16598093509674072,
0.6138537526130676,
0.32024264335632324,
0.013049663975834846,
-0.5877793431282043,
-0.08347474783658981,
-0.5834981203079224,
0.143684476613... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
どちらにしましょうか
| Which one is it? | 5 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
-0.42655670642852783,
0.7255878448486328,
0.5233665704727173,
-0.04138363152742386,
-0.04479677975177765,
0.32865211367607117,
0.23372292518615723,
-0.4293414354324341,
0.3690813481807709,
-0.19397106766700745,
-0.3090507388114929,
0.3022967278957367,
-0.5293213129043579,
0.158416450023651... |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
Example input: concept: Cleveland Ohio answers: ['North American Eastern Time Zone']
Example output: what time zone am i in cleveland ohio?
Example explanation: The output is correct base... | who is rob kardashian dating now 2012? | 3 | NIv2 | task1602_webquestion_question_genreation | fs_opt | [
-0.15947411954402924,
0.5538895726203918,
-0.367019921541214,
0.3805365562438965,
-0.43370509147644043,
-0.6688212752342224,
0.1766287386417389,
0.6959631443023682,
0.3738858699798584,
-0.2644248604774475,
0.02111404575407505,
-0.03376391530036926,
-0.5024615526199341,
-0.22922104597091675... |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closes... | Sports
| 5 | NIv2 | task379_agnews_topic_classification | fs_opt | [
0.27543824911117554,
0.3518878221511841,
-0.15490645170211792,
0.2755696475505829,
0.011421007104218006,
0.39322584867477417,
-0.2438051700592041,
0.42909571528434753,
-0.1743580847978592,
-0.05194399133324623,
-0.6525776386260986,
0.01906944066286087,
-0.07249610126018524,
-0.026252202689... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (... | aggregation | 1 | NIv2 | task212_logic2text_classification | zs_opt | [
0.08335351943969727,
-0.3950398862361908,
-0.2491680234670639,
0.4498124122619629,
0.5952206254005432,
-0.38056811690330505,
0.824393630027771,
0.597338080406189,
0.27456164360046387,
0.030702747404575348,
0.004530459642410278,
-0.004938233643770218,
-0.016608823090791702,
0.61594122648239... |
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Q: Text: first off, i'm from bulgaria. and i'm drunk currently. and high.
this happened... | TIFU by trying canned octopus
****
| 4 | NIv2 | task510_reddit_tifu_title_summarization | fs_opt | [
0.3838023841381073,
0.28915515542030334,
-0.44511252641677856,
-0.7598442435264587,
0.3011229634284973,
-0.0008052140474319458,
1.2327122688293457,
0.9398971796035767,
0.5514259934425354,
0.14298740029335022,
-0.26761001348495483,
0.060361262410879135,
-1.096792459487915,
0.154585227370262... |
Given the task definition and input, reply with output. You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
System Reference: x is an... | 1 | 5 | NIv2 | task1186_nne_hrngo_classification | zs_opt | [
-0.909076452255249,
0.9500832557678223,
0.09550365805625916,
0.30338436365127563,
-0.8281303644180298,
0.03553468734025955,
0.7482483386993408,
0.7863702774047852,
0.03763321787118912,
-0.44027915596961975,
-0.30582642555236816,
-0.25673240423202515,
-0.6772647500038147,
-0.107148580253124... |
Detailed Instructions: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
... | select the rows whose team name record fuzzily matches to eng makers . there is only one such row in the table . the season record of this unqiue row is 2006 . | 8 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.1342700719833374,
-0.017454994842410088,
-0.40381917357444763,
0.2741055488586426,
-0.04247637838125229,
-0.5581926107406616,
0.3438154458999634,
0.7253110408782959,
-0.11011332273483276,
-0.20851173996925354,
-0.45534825325012207,
-0.05797073245048523,
0.16888122260570526,
0.41067087650... |
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Q: if thats what it takes. What is the REAL issue here? Most likely it's race!!! Keep it real.......
A: Yes
****
Q: So a stupid 18-year-old does something stupid. No actual harm was done but this stupid k... | Yes
****
| 4 | NIv2 | task1722_civil_comments_threat_classification | fs_opt | [
-0.22867462038993835,
0.6539683938026428,
0.7515673041343689,
-0.21433168649673462,
-0.2849591076374054,
-0.31553828716278076,
0.34588658809661865,
0.8755992650985718,
0.039915721863508224,
0.0920834168791771,
0.07985334098339081,
0.33214980363845825,
-0.17768804728984833,
-0.2878211438655... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
See one example below:
Problem: (Applause) However there is a political battle in our country.
Solution: (تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
Explanation: The English sentence is correctly trans... | وقرنيته ستذهب إلى معهد تشيبنس لأبحاث العيون ، وهو جزء من كلية الطب بجامعة هارفارد ، وشبكية العين ستذهب إلى جامعة بنسلفانيا | 4 | NIv2 | task1220_ted_translation_en_ar | fs_opt | [
0.3114653527736664,
0.6018231511116028,
0.6887974739074707,
-0.9859639406204224,
0.11975310742855072,
-0.33865925669670105,
0.3244275450706482,
-0.2427847683429718,
0.5259455442428589,
0.18486256897449493,
-0.6615352630615234,
0.2287757694721222,
-0.6459459662437439,
0.11794109642505646,
... |
Given the task definition, example input & output, solve the new input case.
A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence.
Example: اس کے تحت اس عمل کو قابل سزاعمل بنانے کی بھی تجویز ہے ،جس کے تحت ت... | നേരത്തെ പ്രധാനമന്ത്രിയെ ലക്നൗവിലേയ്ക്ക് സ്വാഗതം ചെയ്തുകൊണ്ട് യോഗയെന്നത് നമ്മുടെ പാരമ്പര്യത്തിന്റെ ഭാഗാമാണെന്നും അത് നമ്മെ സംയോജിപ്പിക്കുമെന്നും ഉത്തര്പ്രദേശ് മുഖ്യമന്ത്രി ശ്രീ. | 1 | NIv2 | task1060_pib_translation_urdu_malayalam | fs_opt | [
-0.8885031342506409,
0.9517358541488647,
-0.3998309373855591,
-0.18025606870651245,
0.16586986184120178,
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0.484284907579422,
0.50555020570755,
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-0.14851921796798706,
0.6262977123260498,
-0.12631863355636597,
-0.25095343589782715,
... |
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn th... | What information is in our DNA? | 6 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.1507100909948349,
0.8099422454833984,
0.015128128230571747,
-0.17209266126155853,
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0.7756626605987549,
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-1.702590823173523,
0.42141467332839966,
-0.3562936782836914,
0.1461644172668457,... |
Part 1. Definition
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building bl... | I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK ... | 7 | NIv2 | task130_scan_structured_text_generation_command_action_long | fs_opt | [
0.08837932348251343,
0.6110045909881592,
-0.3854351043701172,
-0.1284225732088089,
0.3611488342285156,
0.17854267358779907,
0.5661821961402893,
0.11271434277296066,
-0.18509289622306824,
-0.34649693965911865,
-0.986728310585022,
-0.23155315220355988,
-0.8337010741233826,
-0.172387391328811... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Q: Relationship: 'run on', Argument/Subject 1: 'software', Argument/Subject 2: 'macintosh'
A: | Software runs on Windows and Macintosh platfor... | 4 | NIv2 | task677_ollie_sentence_answer_generation | zs_opt | [
-0.3373813331127167,
0.742741584777832,
-0.00042422895785421133,
0.14041273295879364,
-0.7689924240112305,
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-0.2513882517814636,
0.6422896385192871,
1.1218361854553223,
-0.5294675827026367,
-0.12134756147861481,
-0.31677675247192383,
-0.24006429314613342,
-0.054541200... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Q: Isto é o que eu penso.
A: | هذا ما أعتقد. | 9 | NIv2 | task1277_ted_translation_pt_ar | zs_opt | [
0.06810405850410461,
0.4574332535266876,
0.008735526353120804,
-0.4339613914489746,
-0.3064180612564087,
-0.3313509523868561,
0.8432704210281372,
0.629804253578186,
1.1715863943099976,
0.08513209223747253,
0.13845369219779968,
0.08923614025115967,
-0.7478736639022827,
0.11642301082611084,
... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Input: Consider Input: Comment: The Salem football team calls themsel... | Output: Sexual-explicit
| 2 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.8574865460395813,
-0.14343762397766113,
0.0668032094836235,
0.2764434814453125,
0.09395833313465118,
-0.11644908040761948,
-0.09951876848936081,
0.6116260290145874,
0.1563873589038849,
0.6405405402183533,
0.019229009747505188,
0.07946398109197617,
-0.28820639848709106,
-1.16057014465332... |
instruction:
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
question:
85845
answer:
No
question:
3717
answer:
No
question:
67775
answer:
| No
| 9 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.3288183808326721,
0.5300000309944153,
0.09313341975212097,
-0.2768893837928772,
-0.5890735387802124,
-0.1926381140947342,
0.7931646108627319,
0.6981894969940186,
0.03448810428380966,
0.21392041444778442,
-0.9822055101394653,
-0.34678083658218384,
-0.36802390217781067,
-0.258899450302124... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Input: Cons... | Output: N
| 2 | NIv2 | task190_snli_classification | fs_opt | [
-0.37494897842407227,
0.6654364466667175,
-0.09877816587686539,
-0.24789400398731232,
0.05235595256090164,
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-0.41640594601631165,
0.5901848673820496,
0.605109691619873,
-0.03903461620211601,
-0.04481876641511917,
-0.15090197324752808,
0.26150456070899963,
-0.34873169660... |
Teacher:In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain conditions a... | SELECT Name , Main_Services FROM station GROUP BY Station_ID ORDER BY Count ( * ) Desc LIMIT 3 | 6 | NIv2 | task077_splash_explanation_to_sql | zs_opt | [
0.690139889717102,
0.3098626732826233,
-1.042165756225586,
0.387045681476593,
-0.2038995921611786,
-0.28405454754829407,
0.7513514757156372,
1.0065670013427734,
-0.413957804441452,
0.5175461769104004,
0.2635694146156311,
0.368985652923584,
0.041923508048057556,
0.22382253408432007,
0.254... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
(Frecuencia más alta) Cada vez que encontramos una resonancia, obtenemos una onda estacionaria y esta curva sinusoidal que emerge del fuego.
Outp... | (Frequenza più alta) Per cui ogni volta che tocchiamo una frequenza risonante otteniamo un'onda stazionaria e quella curva sinusoidale del fuoco. | 1 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.822284996509552,
1.1450071334838867,
-0.14901334047317505,
-0.1449633538722992,
-0.175312802195549,
-0.02963608130812645,
0.6597187519073486,
0.9000149369239807,
-0.07478134334087372,
-0.19115494191646576,
-0.049535855650901794,
-0.43619972467422485,
-0.48200488090515137,
0.300046622753... |
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
[Q]: Love it i have a samsung galaxy 4 phone that has the same case. Now they match!
[A]: Positive Review
[Q]: Save your money. Short battery life is only the start. Cant connect to internet,cant read game names do th I cant rea... | Positive Review
| 5 | NIv2 | task1343_amazon_us_reviews_rating | fs_opt | [
-0.029060740023851395,
0.6662128567695618,
-0.16183432936668396,
-0.9934971928596497,
0.28294190764427185,
-0.48402076959609985,
0.8324097394943237,
0.11605838686227798,
0.15833859145641327,
0.6545959711074829,
0.10479399561882019,
0.20471036434173584,
0.011119311675429344,
-0.239804208278... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
Example: Question: A 13-year-old girl is operated on due to Hirschspr... | 2 | 1 | NIv2 | task1431_head_qa_answer_generation | fs_opt | [
0.04810122027993202,
0.38874393701553345,
-0.23170161247253418,
0.2353389859199524,
0.17066793143749237,
0.28382664918899536,
0.3342461585998535,
0.6889727115631104,
-0.0528113916516304,
0.12503284215927124,
0.0012800158001482487,
0.28736168146133423,
0.029672779142856598,
-0.0847248286008... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Input: Consider Input: 閃いたのです古い車のフロントガラスを持ってきてその後ろに紙をはり初めてのホワイトボードの代用品を作りました
Output: Então tivemos algumas ideias boas. Usamos o pára-brisas de um carro velho, pusemos papel por trás e construímos a primeira alternati... | Output: Isto é o PIB "" per capita "" neste eixo.
| 2 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
-0.7101284265518188,
0.7445781230926514,
-0.4084303677082062,
-0.1828116625547409,
-0.5922556519508362,
-0.1048259288072586,
0.5135883092880249,
0.7653859257698059,
0.6128066778182983,
-0.5138164758682251,
-0.8303565979003906,
0.3534137010574341,
-0.4203869104385376,
0.22413212060928345,
... |
Teacher: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects... | No | 2 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.18549561500549316,
0.05250177159905434,
-0.3152358829975128,
0.15553678572177887,
0.21611660718917847,
-0.5250970125198364,
-0.19419191777706146,
1.2916207313537598,
-0.010123821906745434,
-0.3255249857902527,
-0.011211180128157139,
-0.34115761518478394,
-0.7426680326461792,
-0.63003110... |
Instructions: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Input: [96, 10, -60, -44, -50]
Output: | [10, -44, -50] | 3 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
0.0476045235991478,
-0.2497532069683075,
-0.7313435077667236,
-0.5034768581390381,
0.20751793682575226,
0.49184659123420715,
1.2572261095046997,
0.14645680785179138,
-0.5059770345687866,
0.30375662446022034,
-0.5481224060058594,
0.16774320602416992,
-0.013041412457823753,
-0.62127298116683... |
Teacher: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Mas o que são direitos humanos?
Solution: ولكن ماهي حقوق الإنسان ؟
Reason: The Portugese sentence is correctly transl... | وبعدها ، ربما ، فقط ربما ، سنعي بأن أكبر اختلافاتنا ليست على هذا القدر من الاختلاف حقا. | 2 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
0.1276635378599167,
0.3005290627479553,
0.5031806230545044,
-0.7627395391464233,
-0.7637661099433899,
-0.457830548286438,
0.7761605978012085,
0.426238089799881,
0.41148996353149414,
0.02374127507209778,
-0.6222796440124512,
-0.1804889738559723,
-1.0445325374603271,
-0.09198376536369324,
... |
Detailed Instructions: Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produ... | aggressive behavior causes fight-or-flight responses. | 4 | NIv2 | task038_qasc_combined_fact | fs_opt | [
0.03137355297803879,
0.6213644742965698,
-0.8608680367469788,
0.18766403198242188,
-0.6169309616088867,
-1.1295065879821777,
-0.2574765086174011,
1.3538817167282104,
-0.48134809732437134,
0.04947091266512871,
-1.1251213550567627,
0.5797532796859741,
-0.4218596816062927,
-0.1206906959414482... |
You will be given a definition of a task first, then some input of the task.
Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
Surface tension comes from the fact that particles at the surface of a liquid do not experience interactions from all directions... | Surface tension comes from the fact that particles at the surface of a liquid do not experience interactions from all directions which leads to what on the surface? | 1 | NIv2 | task1552_scitail_question_generation | zs_opt | [
0.190176323056221,
0.9694390296936035,
-0.4086264371871948,
-1.1623897552490234,
0.1229984387755394,
0.2138579934835434,
-0.10985603928565979,
0.4742206037044525,
0.4883752465248108,
-0.0937771424651146,
-0.00448434567078948,
0.4175916910171509,
-0.997972309589386,
0.026784807443618774,
... |
Teacher: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Teacher: Now, understand the problem? If ... | [371520, -384, -478040, 11808, 1548, 4292352, 480, -9520, -137640, -24628032] | 2 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.5447777509689331,
-0.16824224591255188,
-0.8678480982780457,
-0.5727508068084717,
0.48337024450302124,
-0.5554555654525757,
1.1541504859924316,
1.1150516271591187,
-0.535620391368866,
0.0735401064157486,
-0.6423824429512024,
0.07494119554758072,
-0.7407949566841125,
-0.3523608446121216,
... |
Part 1. Definition
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Part 2. Example
Question... | With regard to their performance on 13 April 2007 at the Wembley Arena, London, Ben Rawson-Jones of Digital Spy commented: "Their epiphanic beauty was fully realised with the fragile, emotive nature of Heidi's voice and Keisha's powerful singing" | 7 | NIv2 | task234_iirc_passage_line_answer_generation | fs_opt | [
0.9822816848754883,
0.5730420351028442,
-0.9874897003173828,
-0.1123175248503685,
0.17657601833343506,
-0.8633278608322144,
1.0646591186523438,
0.6914852261543274,
0.23171262443065643,
0.4209022521972656,
-0.24115024507045746,
0.25556182861328125,
-0.03947209566831589,
0.03490370139479637,... |
Teacher:In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Teacher: Now, understand the pro... | April 6, 1917 | 6 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.3201529383659363,
0.8708380460739136,
-0.14049065113067627,
0.247055783867836,
-0.339907705783844,
-0.8065526485443115,
1.1055811643600464,
0.8131716251373291,
0.4388226866722107,
0.07975086569786072,
-0.04557710513472557,
0.08366651087999344,
-0.13736259937286377,
-0.8549656271934509,
... |
Teacher: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Teacher: Now, understand the problem? If you are ... | ttblbtt | 2 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.22024837136268616,
0.9387988448143005,
0.06212793290615082,
-0.20073336362838745,
0.0017899691592901945,
-0.7222135066986084,
0.8930235505104065,
-0.170821413397789,
-0.42332449555397034,
-0.19076043367385864,
-0.31363391876220703,
-0.16858848929405212,
-0.6642968654632568,
0.0057539413... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
One example: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Solution is here: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Explanation: The Hebrew sen... | قبل القيام بأول تجربة في الواقع سالنا فريق ارت كابلان ، التابع عندها لجامعة بنسلفنيا ، لمراجعة كل المخاطر والتحديات والاخلاق المتعلقة بصنع كائن حي جديد في المختبر لإنه لم يتم القيام بمثل هذا العمل سابقا. | 6 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.4389128088951111,
0.1786414086818695,
-0.2443886548280716,
-0.695879340171814,
-0.10825271159410477,
0.008557036519050598,
0.8262189030647278,
-0.31199201941490173,
0.3578299582004547,
-0.3938648998737335,
-1.2107905149459839,
-0.004910674877464771,
-0.46532517671585083,
0.0781809538602... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Problem:والفتاة الصغيرة التي تنشأ من اتحادهما بالطبع لن تكون كورية أو المانية أو فرنسية أو تايلاندية أو سكوتلانديه أو كندية أو حتى أمريكيه ، ولكن ستكون خليطاً رائعاً دائم الارتقاء من جميع هذه الأماكن.
Sol... | و این دختر کوچولو که ناشی از اتحاد این دو نفر است البته که نه کره ای ست و نه آلمانی و نه فرانسوی و نه تايلندی و یا نه اسکاتلندی و نه کانادایی و حتی آمریکایی هم نیست ، بلکه ترکیبی متحول شده ی فوق العاده و ماندگاری از همه این کشورهای ست. | 8 | NIv2 | task1108_ted_translation_ar_fa | zs_opt | [
0.5379340648651123,
0.4585382044315338,
-0.8351614475250244,
-0.35211145877838135,
-0.28135764598846436,
-0.1496027559041977,
0.23167183995246887,
0.5431636571884155,
0.36906012892723083,
0.15863029658794403,
-0.3372769355773926,
-0.04479344189167023,
-0.4685187339782715,
0.300860285758972... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Input: Consider Input: ما می توانیم این کار را انجام دهیم. » و او توقف کرد ، با نگاهی سرد و چشمانی بی اعتنا به من نگاه کرد ، و گفت: « هه! هیچ کس اهمیتی به کمک های خارجی نمی دهد » البته او از اصطلاح دیگری استفاده کر... | Output: (Risate) A proposito, ho mentito sulla storia di Schubert e dei piatti, ma non vuol dire che non abbia mai dato una mano in casa "". (Risate) (Applausi) Grazie. Grazie. (Applausi)
| 2 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-0.5176966786384583,
1.1163694858551025,
-0.04798371344804764,
-0.03441079705953598,
-0.30366355180740356,
-0.7655168771743774,
0.7652504444122314,
0.2784191071987152,
0.7581804394721985,
-0.6142452955245972,
-1.3216361999511719,
0.6341676115989685,
-0.2518511414527893,
-0.2911588549613952... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Ex Input:
My immediate managers had not confessed to their higher-ups that the programmer they hired for a serious job was a teen girl who wore jeans and sneakers to work.
Ex Output:
מנהליי הישירים לא הודו בפני הממונים עלי... | לימדנו את המכונה לראות מנקודת המבט של המאמן.
| 1 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
-0.48850202560424805,
0.6096463203430176,
-0.5690932869911194,
0.1357402503490448,
-0.5848821401596069,
-0.11059136688709259,
0.45426490902900696,
0.24554261565208435,
0.9072371125221252,
0.04639538750052452,
-0.43028417229652405,
0.7144038081169128,
-0.19580771028995514,
-0.20773103833198... |
Detailed Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Problem:Category: 20TH CENTURY WOMEN
Clue: Once a ball girl for the Oak... | mrs. fields | 8 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.2602351903915405,
0.33811885118484497,
-1.0624748468399048,
0.18263626098632812,
-0.09709921479225159,
0.013487443327903748,
0.7561236619949341,
-0.08603101968765259,
0.8335821628570557,
-0.17645156383514404,
0.18592895567417145,
-0.07330383360385895,
-0.26800358295440674,
-0.2602650523... |
You will be given a definition of a task first, then some input of the task.
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
As for those people who said it wont charge did you try unlocking it? ... | positive | 1 | NIv2 | task1312_amazonreview_polarity_classification | zs_opt | [
0.06378082931041718,
-0.07533752918243408,
0.42328763008117676,
-0.5365645885467529,
-0.009307920932769775,
-0.04683214798569679,
1.0716907978057861,
0.27854305505752563,
0.024002060294151306,
0.311685174703598,
0.2797914743423462,
-0.5568666458129883,
-0.4521688222885132,
-0.0713075548410... |
Given the task definition and input, reply with output. Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Question: What are molecules that the immune system recognize as foreign to the body? An... | The average kinetic energy of atoms (each of mass and average speed ) in a gas is related to the temperature of the gas, measured in Kelvin. The Boltzmann constant is a constant of nature, equal to. | 5 | NIv2 | task593_sciq_explanation_generation | zs_opt | [
0.3893161118030548,
0.9805611968040466,
0.13713225722312927,
-0.21264323592185974,
-0.18122759461402893,
-1.5453053712844849,
-0.13820141553878784,
0.57026606798172,
0.6038309931755066,
0.0958063006401062,
-1.3515424728393555,
0.6558682322502136,
-1.0066626071929932,
-0.0038976739160716534... |
Detailed Instructions: The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please be... | A man who goes with a woman to her house will sleep in fear. | 9 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.9899378418922424,
0.6157870888710022,
-0.08710756152868271,
-0.6265523433685303,
0.07543230056762695,
-0.13924303650856018,
0.36182916164398193,
0.44467073678970337,
0.1353391408920288,
-0.5679342150688171,
-0.12856438755989075,
0.3164510130882263,
-0.5651804208755493,
0.107757225632667... |
Teacher:Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Teacher: Now, understand the problem? Solve this instance: "Blender" was trained using available public domain conversations which included 1.... | Facebook uses 1.5bn Reddit posts to create chatbot | 6 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
-0.35346031188964844,
-0.17554740607738495,
-0.18881073594093323,
-0.2269292175769806,
-0.031075313687324524,
-0.1411748230457306,
0.5530109405517578,
0.5796239972114563,
-0.20886079967021942,
0.3440724015235901,
-0.06728999316692352,
-0.03587203845381737,
-0.15780755877494812,
0.536459684... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Example: Ok, the national dri... | Solution: assistant | 5 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
0.18601259589195251,
0.47913748025894165,
-0.48533767461776733,
-0.9963189363479614,
-0.4446970820426941,
0.1362348347902298,
1.7605594396591187,
-0.9624335765838623,
0.9792343974113464,
-0.5150806307792664,
-0.16670632362365723,
-0.07959486544132233,
-0.23731854557991028,
0.57445895671844... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is nega... | NEG | 0 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-1.0587208271026611,
0.44142091274261475,
0.36905908584594727,
0.007189187221229076,
0.4459696412086487,
-0.797339916229248,
0.6217421293258667,
0.44904249906539917,
0.4590127468109131,
0.20410266518592834,
-0.7503170967102051,
-0.6574335098266602,
0.6325936913490295,
0.039014797657728195,... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | Yes | 4 | NIv2 | task1212_atomic_classification_hasproperty | fs_opt | [
0.07117851078510284,
-0.03608758747577667,
0.25721800327301025,
-0.012804674915969372,
-0.10798071324825287,
-1.1871604919433594,
0.46263858675956726,
1.1832821369171143,
-0.979360818862915,
0.10272142291069031,
-0.7240449786186218,
-0.6262643337249756,
-0.4471041262149811,
-0.280793488025... |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Question: Who won the last cup match? Pass... | The next, and last, edition of the Victoria Cup was held in Zurich on September 29, 2009, between the ZSC Lions and the Chicago Blackhawks | 0 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
1.2781363725662231,
0.33540239930152893,
-0.737053394317627,
1.0847915410995483,
0.15488401055335999,
-0.3928074240684509,
0.00723644532263279,
0.19125238060951233,
0.35057878494262695,
-0.20544858276844025,
-0.1466909945011139,
0.9424310922622681,
-1.0251381397247314,
0.09830209612846375,... |
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 determ... | Yes | 0 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.27971428632736206,
0.24330177903175354,
0.4653773009777069,
-0.2670406401157379,
-0.5587974786758423,
-0.729292631149292,
1.4722380638122559,
0.27451905608177185,
-0.4134913682937622,
-0.21453669667243958,
-0.3229663670063019,
-0.442003458738327,
-1.0165821313858032,
0.41163885593414307,... |
Teacher: In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Teacher: Now, understand the problem? If you are still confused, see the following example:
My stomach will be upset if i eat that.
Solution: Do you like pineapple on your pizza?
Reason: The answer given ... | Are you a fan of live music? | 2 | NIv2 | task568_circa_question_generation | fs_opt | [
0.008362025022506714,
-0.06850599497556686,
0.5079233646392822,
0.025109339505434036,
0.26417112350463867,
-0.6044763922691345,
0.19617772102355957,
0.10684306919574738,
-0.2612546682357788,
-0.24633300304412842,
-0.06280165910720825,
0.09814687073230743,
-1.060121774673462,
-0.19080500304... |
Detailed Instructions: In this task you are given data in tabular format and a question. Write an **incorrect** ansswer to this question based on the information in the table.
Problem:Table: ['Team', 'Location', 'Venue', 'Capacity', 'Position in 1993-94']. ['Dinamo Minsk', 'Minsk', 'Dinamo, Minsk', '41,040', '1']. ['Di... | ['Robert Doornbos', 'Neel Jani', 'Oriol Servia', 'Will Power', 'Sebastien Bourdais', 'Graham Rahal', 'Bruno Junqueira', 'Tristan Gommendy', 'Jan Heylen', 'Simon Pagenaud', 'Paul Tracy', 'Mario Dominguez', 'Justin Wilson', 'Alex Figge', 'Alex Tagliani', 'Katherine Legge', 'Dan Clarke'] | 8 | NIv2 | task759_msr_sqa_incorrect_answer_generation | zs_opt | [
0.6205465793609619,
0.226860910654068,
-1.1536521911621094,
0.07238991558551788,
0.38158196210861206,
0.24404466152191162,
0.7402265667915344,
0.19025343656539917,
0.3027673661708832,
0.10471564531326294,
-0.44639676809310913,
0.5513905882835388,
-0.8807686567306519,
0.32617712020874023,
... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
I know I must sound like some liberal do-gooder.
A: | אני יודע שאני נשמע כמו איזשהו מתקן-עולם ליברלי. | 7 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
-0.6742467880249023,
0.1367846429347992,
0.20056858658790588,
-0.7595733404159546,
-0.33065325021743774,
-0.34279823303222656,
0.06700971722602844,
0.31227511167526245,
1.2015398740768433,
0.08041645586490631,
0.128249391913414,
0.10123986005783081,
-1.0782978534698486,
-0.5240474939346313... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexu... | non-geopolitical | 0 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | fs_opt | [
-0.7742022275924683,
0.010908910073339939,
0.6131918430328369,
-0.0006615559104830027,
-0.6149156093597412,
-0.46343177556991577,
0.3133965730667114,
0.5765166282653809,
0.3569698631763458,
0.01906910352408886,
-0.5814688205718994,
-0.23956602811813354,
-0.3431738615036011,
-0.279493421316... |
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.
Q: I ordered this as a christmas present for my Daughter and Son in law... | 5 | 4 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
-0.3256807327270508,
-0.3923987150192261,
0.40860310196876526,
-0.10663743317127228,
0.3860139846801758,
0.2433767467737198,
0.679387092590332,
0.9001016616821289,
-0.3028744161128998,
0.4081200361251831,
-0.13824860751628876,
0.09572260081768036,
-0.9745689034461975,
-0.02802581526339054,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
We investigate the combination of actor-... | We investigate and propose solutions for two challenges in reinforcement learning: (a) efficient actor-critic learning with experience replay (b) stability of very off-policy learning. | 1 | NIv2 | task668_extreme_abstract_summarization | zs_opt | [
-0.30374976992607117,
-0.17292088270187378,
-0.8853791356086731,
0.17734584212303162,
-0.26966142654418945,
-0.3694201409816742,
1.207728624343872,
0.41695719957351685,
0.6578940153121948,
-0.13798022270202637,
-0.2046021819114685,
-0.1266530305147171,
-0.3011818528175354,
0.00536308158189... |
instruction:
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" ... | yes
| 9 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
-0.08910676836967468,
0.2900105118751526,
-0.19306892156600952,
-0.15780600905418396,
0.6702843904495239,
-0.6589457988739014,
0.505892276763916,
1.095271348953247,
-0.5878362655639648,
0.1407402753829956,
0.09422509372234344,
0.6937119960784912,
-0.43195247650146484,
0.21833723783493042,
... |
Detailed Instructions: In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Q: Context: Honestly, I would empty out my saving account and throw it at #TheBachelor producers to see @ravengates09 punch a ... | the bachelor producers | 9 | NIv2 | task239_tweetqa_answer_generation | zs_opt | [
-0.3044838309288025,
0.06430068612098694,
-0.2544440031051636,
-0.020095400512218475,
-0.38609522581100464,
-0.48213809728622437,
-0.0072492193430662155,
-0.13020269572734833,
-0.4132845401763916,
0.013057023286819458,
0.34340450167655945,
-0.3241461515426636,
-0.9816415309906006,
-0.18443... |
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Q: ['e', '1549', 'I', '8417', '5643', 'a', '1735', '1275', 'i', '6269', '6381', '9869', '8781', '1005', 'R', 'h']
A: | 1549, 8417, 5643, 1735, 1275, 6269, 6381, 9869, 8781, 1005 | 9 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
0.8793481588363647,
0.17698043584823608,
-0.572353720664978,
0.05383749678730965,
-0.291088342666626,
-0.8792258501052856,
0.6797191500663757,
-0.18301549553871155,
-0.30026206374168396,
-0.17149268090724945,
-1.1958281993865967,
-0.5988228917121887,
-0.10250045359134674,
0.277193188667297... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , a... | Solution: Quantity. | 5 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.8462583422660828,
-0.044607922434806824,
-0.2430281937122345,
0.13411910831928253,
0.02742159739136696,
-0.8685940504074097,
1.0245717763900757,
0.9509707093238831,
-0.4616086483001709,
-0.11263161152601242,
-0.5626916885375977,
0.5023901462554932,
-0.5693275928497314,
0.2321616113185882... |
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
--------
Question: 5) వీటిలో మెడికల్ కాలేజి, ఆయుష్బ్లాక్, ఆడిటోరియం, నైట్షెల్టర్, అతిథి గృహం, హాస్టల్స్, రెసిడెన్షియల్ సదుపాయాలు ఉంటాయి.
Answer: மர... | நாம் அனைவரும் இணைந்து 5 டிரில்லியன் டாலர் அளவுக்கு நாட்டின் பொருளாதாரத்தை கொண்டுசென்றால், யாருக்கு இழப்பு ஏற்படும்?
| 7 | NIv2 | task1076_pib_translation_telugu_tamil | fs_opt | [
0.3827301263809204,
-0.019416142255067825,
-0.008776830509305,
0.1777852326631546,
0.6453749537467957,
-0.4892413020133972,
-0.487101286649704,
0.7602308988571167,
-0.11088936030864716,
-0.02898203209042549,
-0.21899132430553436,
-0.09414219856262207,
-0.23790815472602844,
0.17188565433025... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Non coñecía outra forma de gañarse a vida e de conseguir diñeiro.
A: | הוא לא הכיר שום דרך אחרת להתפרנס ולהרוויח כסף. | 7 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-0.4896242916584015,
1.0711424350738525,
0.4131806492805481,
-0.8971323370933533,
-0.532605767250061,
-0.2688748836517334,
0.7927130460739136,
0.2761274576187134,
0.4712148904800415,
-0.07803365588188171,
-0.05294414609670639,
-0.20071640610694885,
-1.14345121383667,
0.11399836093187332,
... |
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 determ... | No | 0 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.32851552963256836,
0.3774794340133667,
0.5576394200325012,
-0.14696766436100006,
-0.6231909990310669,
-0.697594940662384,
1.1234562397003174,
0.5825811624526978,
-0.6924794912338257,
-0.38691771030426025,
-0.8189910650253296,
-0.402959942817688,
-0.7144858837127686,
0.0005747488467022777... |
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.
--------
Question: Personality: I am studying to become a nurse.
I live in a studio apartment... | Hi do you wanna play tennis?
| 7 | NIv2 | task1730_personachat_choose_next | fs_opt | [
0.18202714622020721,
-0.060626059770584106,
-0.6235408782958984,
-0.22993652522563934,
0.18106885254383087,
-0.776447057723999,
1.0905444622039795,
0.43270254135131836,
-0.22435039281845093,
-0.32580846548080444,
-0.015220275148749352,
0.04950876161456108,
-0.5048661231994629,
-0.189656242... |
Teacher: 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"... | Changed | 2 | NIv2 | task515_senteval_odd_word_out | fs_opt | [
-0.5663686990737915,
0.5440998673439026,
0.30577272176742554,
-0.6971590518951416,
0.1823486089706421,
-0.6449536681175232,
0.28269869089126587,
0.5901299715042114,
0.42100030183792114,
-0.16109474003314972,
-0.3770698308944702,
-0.14283017814159393,
-0.9445924162864685,
-0.120989605784416... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Example: English: Resumption of the session
Spanish: Reanudación del período de sesiones
Example solution: Yes
Example explanat... | Solution: No | 5 | NIv2 | task532_europarl_en-es_classification | fs_opt | [
0.30824029445648193,
0.431008517742157,
0.4827807545661926,
-0.05848374590277672,
-0.036574654281139374,
-0.7007004022598267,
0.32578644156455994,
0.7772363424301147,
-0.22763599455356598,
0.13478799164295197,
-0.3532903790473938,
0.8099880218505859,
-0.9566189050674438,
-0.139575958251953... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby p... | Output: other
| 2 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
0.3522602319717407,
-0.2216830849647522,
-0.6492055654525757,
0.43273887038230896,
0.3831450343132019,
0.054177574813365936,
0.17909231781959534,
0.8338994979858398,
-0.04776756465435028,
0.2589259147644043,
0.04022932052612305,
0.4671831727027893,
-0.02490541897714138,
-0.5279413461685181... |
Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Example: Spr Ithan sariyana valli
Exampl... | Solution: Not Hope Speech | 5 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
-0.08521898090839386,
-0.06896187365055084,
0.5956500172615051,
0.5028855204582214,
-0.19443120062351227,
-1.1141159534454346,
0.09290821105241776,
0.7067416310310364,
-0.6121180057525635,
0.4512045383453369,
-0.18460118770599365,
0.3005269467830658,
-0.5690171122550964,
-0.492060303688049... |
Teacher:You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Teacher: Now, understand the problem? Solve this instance: What it is certain that he was wearing is this hat.
Student: | 1 | 6 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | zs_opt | [
0.5076608061790466,
0.7501682043075562,
0.31246376037597656,
-0.252080500125885,
0.2291019856929779,
-1.7922507524490356,
0.3630565106868744,
0.8196073174476624,
-0.03261865675449371,
-0.4511507749557495,
-0.9206202626228333,
-0.5675537586212158,
-0.557040810585022,
-1.1732308864593506,
... |
Given a sentence in Spanish, generate a new Spanish 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 b... | Usted está orgulloso de conocer un oro alrededor en un día. | 8 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.5244126319885254,
0.5351381301879883,
-0.47268784046173096,
0.16061893105506897,
-0.4765785038471222,
-0.9268286228179932,
0.0198051817715168,
1.1651445627212524,
0.08439550548791885,
-0.7567975521087646,
-0.48274803161621094,
0.32176488637924194,
-0.18241578340530396,
-0.12957942485809... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Q: Context: Kendal... | B | 4 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
0.516243040561676,
1.0781971216201782,
0.047737330198287964,
-0.3065093457698822,
-0.18056976795196533,
-0.5326157808303833,
0.6621062755584717,
0.9838292598724365,
-0.2147972285747528,
-0.1982925981283188,
-0.10540406405925751,
-0.6812019348144531,
-0.5296742916107178,
-0.416673481464386,... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , a... | Humans. | 4 | NIv2 | task046_miscellaneous_question_typing | zs_opt | [
0.6872857213020325,
0.04451145976781845,
-0.04688823223114014,
0.33088192343711853,
-0.07133034616708755,
-1.058243989944458,
0.9572603106498718,
0.7722771167755127,
-0.5954656600952148,
-0.20436567068099976,
-0.3774232566356659,
0.47271716594696045,
-0.3337588906288147,
-0.045074332505464... |
Definition: In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Input: ['w', '1327', 'o', '9321', '6615', '9757', '8... | a, e, f, i, k, o, p, t, v, w, y | 2 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.34922534227371216,
0.22237597405910492,
-0.2596926689147949,
-0.17196428775787354,
0.5820423364639282,
0.005803470499813557,
0.9886640906333923,
-0.1622651070356369,
0.05183277651667595,
0.6520993709564209,
-0.6559297442436218,
-0.2518003284931183,
0.06279655545949936,
-0.13901264965534... |
Given a text, write a compressed version of it in a single sentence.
One example is below.
Q: Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, " says APA president Philip G. Zimbardo of Stanford University.
A: "Except for this small vocal minority, we have no... | 2 NYPD cops were on the 20th fl of the N Tower at 8:46. They climbed to the 29th flr urging evacuation, but didn't anyone on the 22nd floor. | 9 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.7500824928283691,
0.5644441843032837,
0.5184094905853271,
0.09714962542057037,
-0.021732328459620476,
-1.9350416660308838,
0.6536815166473389,
0.45316624641418457,
0.09984516352415085,
0.601611852645874,
-0.5098373889923096,
0.13909628987312317,
-0.8892382383346558,
-0.10036066174507141... |
Teacher: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sent... | I see a flat tire on my car >Causes> I feel(s) stressed | 2 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.47963303327560425,
-0.05516870692372322,
-0.10938648879528046,
-0.3880508542060852,
0.0963178277015686,
-1.0009688138961792,
0.7710376977920532,
1.0596752166748047,
-0.3006475567817688,
0.11473949253559113,
-0.025023017078638077,
0.5604358315467834,
-0.07309027761220932,
-0.3377052843570... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Example: Text:... | TIFU by browsing "porn" at school | 1 | NIv2 | task510_reddit_tifu_title_summarization | fs_opt | [
-0.7431153059005737,
0.21417821943759918,
0.24001657962799072,
-0.05243309959769249,
0.1580563485622406,
0.4963330924510956,
0.33676475286483765,
0.6710491180419922,
0.15953928232192993,
0.36208778619766235,
0.10730178654193878,
-0.13890933990478516,
-0.4431925415992737,
-0.333379745483398... |
Teacher:In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in ... | We feel(s) worried >Motivates> We become scared | 6 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.19121617078781128,
0.7211820483207703,
-0.15285387635231018,
-0.641675591468811,
-0.3437612056732178,
-1.1163880825042725,
0.6606417894363403,
1.1944841146469116,
-0.30662816762924194,
-0.3294798731803894,
-0.21009087562561035,
0.1521982103586197,
-0.2510206401348114,
-0.160448685288429... |
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 bei... | Eine Jury sollte eine einstimmige Entscheidung treffen.
| 5 | NIv2 | task416_mickey_de_sentence_perturbation_generation | fs_opt | [
-0.6267456412315369,
0.7218389511108398,
0.03198640048503876,
-0.6283466815948486,
0.05922575294971466,
-0.6751675009727478,
0.9660770893096924,
0.9386522769927979,
-0.05911988765001297,
0.27545493841171265,
-0.22199246287345886,
0.3155704140663147,
-0.8730074763298035,
0.2544559836387634,... |
Q: In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
The rustle of her clothes snaps Zander back to reality.
A: | Singular | 7 | NIv2 | task430_senteval_subject_count | zs_opt | [
-1.4370074272155762,
0.9639631509780884,
0.10302398353815079,
-0.41193288564682007,
-0.4702894389629364,
0.192517951130867,
1.5165770053863525,
-0.2278936505317688,
-0.5260179042816162,
-0.0014425264671444893,
-0.14218702912330627,
0.364994078874588,
-0.9048550128936768,
0.0046243821270763... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Example input: Person1: Are you ready to order , sir ?
Person2: ... | 0 | 3 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
-0.5627070665359497,
-0.1940155327320099,
0.40499383211135864,
-0.45510631799697876,
0.10687390714883804,
0.07594911754131317,
0.09877095371484756,
0.1961718499660492,
-0.005515225697308779,
-0.0604955218732357,
-0.26294660568237305,
-0.5663372278213501,
-0.526645839214325,
-0.093299038708... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found ... | Output: Terry and Ed
| 2 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
1.1712067127227783,
0.7559419274330139,
0.05239458382129669,
0.7632580995559692,
0.5183864831924438,
-0.4358415901660919,
0.4015202820301056,
0.7982421517372131,
-0.17994940280914307,
0.1233338862657547,
-0.24587005376815796,
-0.514599084854126,
-0.22420233488082886,
0.07387068122625351,
... |
Detailed Instructions: You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Q: Event:PersonX wills never forget. Intent: 1) to be active 2) to adjust 3) to modify
A: | Unknown | 9 | NIv2 | task923_event2mind_classifier | zs_opt | [
-0.6007108092308044,
0.1531577855348587,
0.17547403275966644,
-0.3452029228210449,
-0.422410249710083,
-1.1777433156967163,
1.7079076766967773,
0.4940400719642639,
-0.0911264419555664,
-0.18110652267932892,
0.30950918793678284,
-0.14203612506389618,
-0.5618480443954468,
-0.0398393310606479... |
Q: 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.... | [['b', 'p', 'j', 'P', 'H', '3'], ['b', 'p', 'j', 'P', 'H', '5'], ['b', 'p', 'j', 'P', '3', '5'], ['b', 'p', 'j', 'H', '3', '5'], ['b', 'p', 'P', 'H', '3', '5'], ['b', 'j', 'P', 'H', '3', '5'], ['p', 'j', 'P', 'H', '3', '5']] | 7 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.18182791769504547,
0.2825208306312561,
-0.47692400217056274,
0.24156928062438965,
0.4888726472854614,
-0.4405934810638428,
0.5954986214637756,
0.22525136172771454,
0.2565336227416992,
0.09089338779449463,
-0.5513301491737366,
0.23931634426116943,
-0.022981880232691765,
0.063582852482795... |
Given a scientific question, generate a correct answer to it.
Input: Consider Input: What is the period during which humans become sexually mature called?
Output: puberty
Input: Consider Input: What are female gonads normally called?
Output: ovaries
Input: Consider Input: What is generated when a heart ventricle... | Output: blood pressure
| 2 | NIv2 | task591_sciq_answer_generation | fs_opt | [
0.6155006885528564,
0.5640705227851868,
-0.8529486656188965,
0.0795784667134285,
-0.42258933186531067,
-0.21639029681682587,
-0.7804175615310669,
-0.07094287127256393,
0.06086248159408569,
0.10809637606143951,
-0.2525966763496399,
0.08657196164131165,
-1.1183135509490967,
-0.30657178163528... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Input: نمی توانی عذر و بهانه را منتشر کنی. "" دهانم خيلي خشک شده بود — احتمالا به خشكي امروز دهانم الان نبود — ولی دهانم واقعا خشک شده بود.
Output: | E non podes publicar escusas "". Tiña a boca seca, quizais non tanto como agora, pero tiña a boca moi, moi seca. | 3 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-0.6519473195075989,
0.960298478603363,
-0.047067247331142426,
-0.7508876323699951,
-1.0692076683044434,
-0.27642273902893066,
-0.21469613909721375,
0.550195574760437,
-0.09784659743309021,
-0.8704195022583008,
-0.555733323097229,
0.1127142459154129,
-0.6955960988998413,
0.652053713798523,... |
Given the task definition and input, reply with output. Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Bucks usually have antlers by their second year, and ____ points by the fifth.
| eight | 5 | NIv2 | task1359_numer_sense_answer_generation | zs_opt | [
-0.4015515446662903,
0.7060361504554749,
0.018617095425724983,
0.45137256383895874,
-0.37680989503860474,
-0.2890629172325134,
0.5531071424484253,
0.05698605626821518,
0.3367968499660492,
-0.31195712089538574,
-0.23365619778633118,
0.15319684147834778,
-0.6383999586105347,
0.19295382499694... |
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Ex Input:
(A) not wanting my future kid to go to public school
(B) not wanting to go out with my sist... | A
| 1 | NIv2 | task106_scruples_ethical_judgment | fs_opt | [
-0.23632580041885376,
0.5045685768127441,
0.2686200737953186,
-0.4500811696052551,
-0.4940991997718811,
0.029998641461133957,
0.03413113206624985,
0.6228614449501038,
0.3858492970466614,
0.5479103326797485,
-0.37525421380996704,
0.04389209300279617,
0.20702491700649261,
-0.9922410249710083... |
Q: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to det... | Yes | 7 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.14396430552005768,
0.4771875739097595,
0.3387354612350464,
-0.3897581100463867,
-0.42627307772636414,
-0.8056551218032837,
1.394145131111145,
0.19003978371620178,
-0.6569223403930664,
-0.5679274797439575,
-0.3781208097934723,
-0.36584699153900146,
-0.7199697494506836,
0.5303589701652527,... |
Detailed Instructions: 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.
See one example... | Guard | 4 | NIv2 | task343_winomt_classification_profession_anti | fs_opt | [
-0.9953736662864685,
0.6529021263122559,
-0.0007091456791386008,
-0.8185287714004517,
0.1252814531326294,
-0.7216100692749023,
0.33199024200439453,
0.7087787985801697,
0.5502791404724121,
0.23481538891792297,
-1.1331119537353516,
-0.012549875304102898,
-0.7259838581085205,
-0.0486921891570... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Q: Mamy system, w którym tak już jest.
A: Abbiamo questo sistema in cui questo è ciò che si fa.
****
Q: Ed Ulbrich: Oto jak stworzyć cyfrowego człowieka w 18 minut.
A: Ed Ulbrich: Ecco come creare una testa digitale in 18 ... | Guardare il lavoro degli altri è un bel sistema per imparare.
****
| 4 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-0.8521291017532349,
0.8415391445159912,
-0.16945502161979675,
-0.6311485767364502,
-0.7590767741203308,
-0.4623464345932007,
1.0912227630615234,
0.9873324036598206,
-0.15958909690380096,
-0.33095645904541016,
-0.12652571499347687,
0.8180705308914185,
0.5536349415779114,
0.262932687997818,... |
Given the task definition and input, reply with output. Two analogies that relate actions with their consequences are given in the form "A : B. C : ?". The phrase "A : B" relates action A to consequence B. Your task is to replace the question mark (?) with the appropriate consquence of the given action C, following the... | shatter | 5 | NIv2 | task1152_bard_analogical_reasoning_causation | zs_opt | [
0.15507632493972778,
0.9992183446884155,
-0.38429999351501465,
0.3086269497871399,
-0.55681312084198,
-0.0936250314116478,
0.7764725685119629,
0.4226457178592682,
-0.005999278277158737,
-0.5560346245765686,
-0.4261540174484253,
0.4381067454814911,
-0.062121763825416565,
0.01282001100480556... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Input: Finally, in part three, I'm going to describe a cosmological theory called inflation, which will pull all the pieces of the story together.
Output: | Finalmente, na terceira parte, Eu vou descrever uma teoria cosmológica chamada Inflação, que irá juntar todas as peças da história. | 2 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
-0.10929667949676514,
0.40830492973327637,
-0.06257066130638123,
-0.34531691670417786,
-0.5361604690551758,
-0.6140739917755127,
-0.8776057958602905,
0.7783688902854919,
0.22308067977428436,
0.1058889776468277,
-0.27157142758369446,
0.20496758818626404,
-0.17003706097602844,
-0.10519123077... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
One example: 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。
Solution is here: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពី... | អ្នកធ្វើឲ្យក្រុមខ្លាំងចេញ ហើយពេលខ្លះអ្នកឆ្ងល់ថាហេតុអ្វី។ | 6 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.047763533890247345,
0.5717949867248535,
-0.6527467370033264,
0.30494314432144165,
-0.2576988935470581,
-0.444710373878479,
0.677639365196228,
0.39047855138778687,
-0.14329659938812256,
-0.5944961309432983,
-1.337135672569275,
1.0184916257858276,
-1.040393352508545,
0.775191605091095,
... |
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 negativ... | -81.52 | 3 | NIv2 | task095_conala_max_absolute_value | fs_opt | [
0.41527825593948364,
0.36388611793518066,
-0.27093440294265747,
0.24363118410110474,
-0.19947358965873718,
-0.5419641137123108,
1.1858394145965576,
0.891080379486084,
0.0771440863609314,
-0.16763544082641602,
-0.31560438871383667,
0.3414258658885956,
-0.05166942626237869,
0.112643592059612... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
The first two were found unreliable and ... | टीबी रोग से होने वाली मऋतों में भी भारी कमी आयी है.हूपिंग कफ ह्यकाली खांसीहृ अथवा खसरा ह्यमीजल्सहृ के प्रकोप से अब शायद ही कोऋ जान जाती हो । | 0 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
0.5177249908447266,
0.18119007349014282,
0.3526132106781006,
0.32694101333618164,
0.34979867935180664,
-0.622782826423645,
0.008132240734994411,
0.625746488571167,
0.08515480905771255,
0.018275978043675423,
-0.890387773513794,
-0.3503320813179016,
0.11310368031263351,
0.40347373485565186,
... |
The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
The conversation with this woman was amazing.
joy
My sister found herself i... | fear
| 0 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.6489309072494507,
0.5355621576309204,
0.3881482779979706,
-0.5549967288970947,
-0.17911943793296814,
-0.1656661331653595,
0.753951907157898,
0.41070273518562317,
0.6161890029907227,
-0.1237146407365799,
-0.813063383102417,
-0.6978933811187744,
-0.15736660361289978,
-0.13072645664215088,... |
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