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 |
|---|---|---|---|---|---|---|
Part 1. Definition
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
Part 2. Example
M: I am considering... | When to go out. | 7 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
-0.028169944882392883,
0.41036462783813477,
0.15082186460494995,
-0.3736973702907562,
0.34693968296051025,
-0.42381396889686584,
0.31403717398643494,
0.2835853397846222,
0.41029804944992065,
-0.2776526212692261,
-0.6660711169242859,
-0.39404308795928955,
-0.32526350021362305,
-0.2248434275... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
One example: 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.
Solution is here: Cando chegas a estas sociedades en desenrolo, as mulleres son os ... | Que significa isto en termos de aplicación ás enfermidades? | 6 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-1.1044392585754395,
1.0831284523010254,
-0.45101264119148254,
-0.08867208659648895,
-0.303741991519928,
-0.34870076179504395,
0.63103187084198,
1.2355111837387085,
-0.11718280613422394,
0.10946252197027206,
-1.5084909200668335,
0.736291766166687,
-0.6159201860427856,
-0.01860165223479271,... |
TASK DEFINITION: In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (A) and (B), such that the story sounds fully coherent.
PROBLEM: Sentence1: Trish hated the outdoors. Sen... | B
| 8 | NIv2 | task296_storycloze_correct_end_classification | fs_opt | [
0.01693790778517723,
0.6261297464370728,
-0.3647374212741852,
-0.28724318742752075,
0.0593114048242569,
-0.3580854833126068,
0.6437438130378723,
0.5488806962966919,
0.0018909960053861141,
0.1289815902709961,
-0.4496871829032898,
0.09912791103124619,
-0.5641734600067139,
-0.0167237892746925... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Problem:結果は全くコントロールできません
Solution: | התוצאה היא לחלוטין מחוץ לשליטה שלכם. | 8 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
0.3720085918903351,
0.5897747278213501,
0.2412983626127243,
-0.758563756942749,
-0.7950456738471985,
0.04903361201286316,
0.09172631055116653,
0.8190011978149414,
0.7182097434997559,
-0.5625633001327515,
-0.9010754227638245,
0.3794526159763336,
-0.5370323061943054,
0.22239071130752563,
-... |
Given the task definition and input, reply with output. This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a sin... | Porsche | 5 | NIv2 | task1413_dart_object_identification | zs_opt | [
-0.9990992546081543,
0.5371241569519043,
0.037622421979904175,
0.4069591760635376,
-0.1109483540058136,
0.018106117844581604,
0.5618469715118408,
-0.28078997135162354,
0.7029289603233337,
-0.433609277009964,
-1.0059494972229004,
-0.057628657668828964,
0.060687631368637085,
0.47282475233078... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
युशचेन्को को वियना क... | Yushchenko was taken to the Rudolfinerhaus clinic of Vienna, where he stayed for four days under Dr. Korpan's care. | 5 | NIv2 | task433_alt_hi_en_translation | zs_opt | [
-0.6321077942848206,
0.7643881440162659,
0.8376797437667847,
-0.2652493715286255,
0.1808169037103653,
0.2821633815765381,
0.23149624466896057,
0.20305660367012024,
0.33314061164855957,
-0.16350379586219788,
-0.3444811701774597,
0.7194842100143433,
-0.4464438557624817,
0.4484068751335144,
... |
This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done.
Example: الذهب بعشرة آلاف دولار؟
Example solution: Zlato za 10\xa0000 dolarů?
E... | Solution: Lékaři stávkují, daně rostou, vládní strany se vzájemně cupují kritikou a sama kancléřka ve význačném projevu prohlásila, že země je v katastrofálním stavu. Němci se ovšem, nezlomeni tím vším, nadále jednoduše radují na velkém fotbalovém večírku s nově nalezenými přáteli z celého světa. | 5 | NIv2 | task1374_newscomm_translation | fs_opt | [
-0.48669031262397766,
-0.09495921432971954,
-0.9533023834228516,
0.18131834268569946,
0.28819072246551514,
0.05890164524316788,
1.1301660537719727,
0.9936997294425964,
0.6599259972572327,
-0.5494973063468933,
0.08322067558765411,
0.5422266721725464,
-1.0675578117370605,
0.4204191565513611,... |
Definition: In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8, ... | [128, 1024, 4096, 1024, 8, 64, 2, 128, 2048, 1024, 1024, 8] | 2 | NIv2 | task1444_round_power_of_two | zs_opt | [
-0.5131133794784546,
1.0755364894866943,
-0.20575441420078278,
-0.11663281917572021,
-0.1997300237417221,
0.3013812005519867,
0.7269245386123657,
0.08550646156072617,
-0.10723170638084412,
0.15653428435325623,
-0.7156130075454712,
0.564711332321167,
-0.3088485598564148,
-0.2410176098346710... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Q: خیلی از مردم طوری بهش نگاه می کردند که انگار آخرین گفتگوی بین آنهاست ، برای چیزی که میخواهند ازآن شخص پرسند و یا به اوبگویند شخصی که برای انها خیلی ارزش دارد ؟
A: | Per molti l'atteggiamento è: se questa fosse la nostra ultima conversazione, che cosa vorrei chiedere, e dire, a questa persona che significa così tanto per me? | 9 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-0.32675448060035706,
0.9980789422988892,
0.06592431664466858,
-0.2185356616973877,
-0.7328341603279114,
-0.43054085969924927,
1.2136365175247192,
-0.04888714477419853,
0.2860177755355835,
-0.7340660095214844,
-0.6546528339385986,
0.72185218334198,
0.11381357163190842,
1.3162612915039062,
... |
Detailed Instructions: Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
See one example below:
Problem: Tagalog sentence: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams
Solution: Roger Federer was the first player to ... | Come see the Tattoo 26 on the dock at the oldest and largest in-the-water sailboat show in the world. | 4 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
0.15398186445236206,
0.1754087507724762,
-0.30472224950790405,
0.13641899824142456,
0.5571262836456299,
-1.1080459356307983,
0.25640392303466797,
0.8072041869163513,
-0.168794646859169,
0.3569484353065491,
0.07167403399944305,
0.8072489500045776,
-0.8119951486587524,
-0.22951839864253998,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Q: Vouvos mostrar algunha destas ferramentas.
A: | E vou mostrar-vos algumas destas ferramentas agora mesmo. | 4 | NIv2 | task1246_ted_translation_gl_pt | zs_opt | [
-0.8746569156646729,
0.9492970705032349,
-0.23104465007781982,
-0.6651124954223633,
-0.26881468296051025,
-0.7103292942047119,
0.6266560554504395,
0.7239161729812622,
0.3183019757270813,
0.14414939284324646,
-0.1698504388332367,
0.5983484387397766,
0.42880696058273315,
0.7267215251922607,
... |
Teacher: Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate eith... | Completion A | 2 | NIv2 | task156_codah_classification_adversarial | fs_opt | [
0.3052552342414856,
0.5848599672317505,
0.09646612405776978,
-0.361000657081604,
0.005144680384546518,
-0.5515552163124084,
0.20506642758846283,
1.0596976280212402,
-0.7965457439422607,
-0.3564874529838562,
-0.5215697884559631,
0.07595384120941162,
-0.20041382312774658,
0.04411396384239197... |
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.
Example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
Example solution: positive
Example explanation: There is an expression ... | Solution: negative | 5 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.0677900314331055,
-0.10828161239624023,
0.6320681571960449,
0.419561505317688,
0.6634831428527832,
-0.5834130048751831,
-0.09487636387348175,
0.5697672367095947,
0.502799391746521,
0.5074056386947632,
-0.6236258745193481,
-0.8414509892463684,
0.07254195213317871,
-0.8271864652633667,
... |
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\*.
Q: who was the voice of bullwinkle on th... | Bill Scott | 4 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.1725080907344818,
1.402890920639038,
0.4214255213737488,
-0.18010807037353516,
-0.6605397462844849,
-0.4463547468185425,
1.4081692695617676,
0.30948513746261597,
0.3148956596851349,
-0.2513561546802521,
-0.35540103912353516,
0.19695639610290527,
-0.32046279311180115,
-0.5914446115493774... |
You will be given a definition of a task first, then some input of the task.
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 a... | yes | 1 | NIv2 | task472_haspart_classification | zs_opt | [
-0.39157426357269287,
0.512075662612915,
0.8277299404144287,
0.07155060768127441,
-0.04462837055325508,
-0.1995600312948227,
0.22775569558143616,
0.6979156732559204,
0.8304253220558167,
-0.5299313068389893,
-0.3091936409473419,
-0.5942733287811279,
-0.3341894745826721,
0.06615284085273743,... |
You will be given a definition of a task first, then some input of the task.
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.
Context: Zambrzyca [zamˈbʐɨt͡sa] is a ... | 4 | 1 | NIv2 | task633_dbpedia_14_answer_generation | zs_opt | [
-0.32614606618881226,
0.5846495628356934,
1.026639699935913,
0.18548479676246643,
-0.1930161416530609,
-0.2709864377975464,
0.47507810592651367,
-0.44509920477867126,
-0.3539773225784302,
-0.18256047368049622,
-0.28321200609207153,
-0.2121083289384842,
-0.30258119106292725,
0.0701661854982... |
TASK DEFINITION: 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 "HYPOTHETIC... | yes
| 8 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.19642683863639832,
0.26448702812194824,
-0.3855663537979126,
-0.16472110152244568,
0.3559768795967102,
-0.598990797996521,
0.8984266519546509,
1.0621627569198608,
-0.6299359202384949,
-0.17530961334705353,
-0.11800561845302582,
0.39508745074272156,
-0.4136751592159271,
0.2697194814682007... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | The family want(s) fresh food >Motivates> The family has a big garden
| 3 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.387954443693161,
-0.11660803109407425,
0.10033298283815384,
0.08400540053844452,
-0.05006209388375282,
-1.217652440071106,
0.581596314907074,
0.8486414551734924,
-0.5827962160110474,
-0.13804873824119568,
-0.939005970954895,
0.009147575125098228,
-0.46157652139663696,
-0.4546685814857483... |
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... | He wrote: “My Bible-trained conscience prevents me from taking up military service. | 8 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.4380040466785431,
0.7199987173080444,
-0.193574458360672,
0.5108232498168945,
0.06449158489704132,
-0.41614246368408203,
0.28431740403175354,
0.1570953130722046,
0.39816775918006897,
-0.3431735634803772,
0.12481513619422913,
-0.01861674338579178,
-0.7876260280609131,
0.39919090270996094... |
TASK DEFINITION: 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 s... | 14
| 8 | NIv2 | task218_rocstories_swap_order_answer_generation | fs_opt | [
0.22729487717151642,
-0.18106162548065186,
-0.2043793946504593,
-0.5315451622009277,
0.3692317008972168,
-0.08811657875776291,
0.47615236043930054,
1.1424490213394165,
-0.5414963960647583,
-0.1612306535243988,
-0.7317706346511841,
0.657505989074707,
-0.7325735688209534,
0.25891461968421936... |
Detailed Instructions: You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) s... | surprise | 8 | NIv2 | task1663_cedr_ru_incorrect_classification | zs_opt | [
-0.5683896541595459,
0.32156383991241455,
-0.1944117248058319,
-0.5840280055999756,
-0.18612076342105865,
-0.6113264560699463,
0.2905845046043396,
1.0518887042999268,
0.06483452767133713,
0.2299586832523346,
-0.4666392505168915,
-0.21941500902175903,
-0.059198588132858276,
-0.1362778246402... |
Teacher:In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Teacher: Now, understand the problem? Solve this instance: Context: Alex served Lee's apprenticeship for 3 years before Lee woul... | What will Alex want to do next? | 6 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
-0.6932711601257324,
0.24493153393268585,
-0.13169629871845245,
-0.9584022760391235,
-0.32024574279785156,
0.20707747340202332,
-0.4062594473361969,
0.5143426060676575,
0.5253564119338989,
-0.13541051745414734,
-0.10434996336698532,
-0.10915577411651611,
-0.5685350894927979,
-0.16100445389... |
Teacher:The provided file includes inquiries about restaurants in Finnish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* loo... | show me reviews written by " amy " . | 6 | NIv2 | task254_spl_translation_fi_en | zs_opt | [
-0.3846023380756378,
0.5693919062614441,
0.5337420701980591,
-0.7026849985122681,
0.044721949845552444,
-0.5887373089790344,
0.3044176399707794,
0.8316406011581421,
-0.43515950441360474,
-0.30630284547805786,
0.7168630361557007,
0.8348707556724548,
-0.26247474551200867,
0.3052755296230316,... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
One example: ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پرتاب باشند در عرض چند ساعت.
Solution is here: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować... | (Video) (Muzyka) Nicholas:: Mam na imię NIcholas McCarthy. | 6 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.42270395159721375,
0.8145254850387573,
0.06111162528395653,
0.28967952728271484,
-0.4538285732269287,
0.22925367951393127,
1.6057567596435547,
-0.272884726524353,
-0.004518595524132252,
-0.4374735951423645,
-1.0250658988952637,
0.8305445313453674,
-0.6491648554801941,
0.3024993538856506... |
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 specia... | REFERENCE scene | 0 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
0.3495837152004242,
0.31492316722869873,
-0.6097583770751953,
0.309872567653656,
0.17475008964538574,
-0.5166244506835938,
1.3192155361175537,
0.9156017303466797,
-0.21961620450019836,
0.4531868100166321,
0.1479947715997696,
-0.02356475219130516,
-0.5338579416275024,
0.02698315680027008,
... |
You will be given a definition of a task first, then some input of the task.
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 b... | Original | 1 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.36369848251342773,
0.8691258430480957,
0.2746611535549164,
-0.03309078514575958,
-0.15304629504680634,
-0.2120826691389084,
0.4807739853858948,
1.0510530471801758,
0.23166197538375854,
-0.21655383706092834,
-0.7626163363456726,
-0.6436386108398438,
-0.8220911026000977,
-0.24936942756175... |
Given the task definition and input, reply with output. Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Ang pangalawang huling araw ay noong Nobyembre 27, 2006 na kung saan ang North Ireland As... | 第2の締め切りは2006年11月27日で、北アイルランド議会執行部の首相と副首相を選出することになっている。 | 5 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-0.38933613896369934,
0.4328163266181946,
0.7157133221626282,
-0.2740015685558319,
-0.44049692153930664,
-0.3297520577907562,
0.35913002490997314,
-0.015574010089039803,
-0.8127355575561523,
-0.08707493543624878,
0.03652958571910858,
0.04796736687421799,
-0.8019251227378845,
0.742642641067... |
Definition: 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.
Input: Personality: I'm obsessed with animals.
I love the natural world beauty.
I... | Oooooh! I love fairytales. When you are in the woods they almost seem real! | 2 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.5788424015045166,
0.3562856912612915,
-0.9196826219558716,
0.31568634510040283,
-0.7247437238693237,
-0.9072728753089905,
0.7256326675415039,
0.40021365880966187,
-0.49757301807403564,
-0.44977056980133057,
-0.22919560968875885,
0.09231960773468018,
-0.29248684644699097,
-0.296107530593... |
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Q: Reviews: I don’t recommend this to anyone! It is... | False | 4 | NIv2 | task1308_amazonreview_category_classification | zs_opt | [
-0.31581369042396545,
0.10085153579711914,
-0.6170380115509033,
0.0488891564309597,
-0.35086995363235474,
-0.10601474344730377,
0.6129193305969238,
0.4646185636520386,
-0.1825622320175171,
0.5372592210769653,
-0.7777968645095825,
0.4220890998840332,
-0.39107272028923035,
0.3085412085056305... |
Q: Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatu... | random | 7 | NIv2 | task1418_bless_semantic_relation_classification | zs_opt | [
0.2665128707885742,
0.15436553955078125,
0.2762076258659363,
-0.02345295250415802,
-0.7550801038742065,
0.29264378547668457,
-0.03331261873245239,
0.23186954855918884,
0.34277814626693726,
-0.8811004161834717,
-0.6541342735290527,
0.19849403202533722,
-0.6113812327384949,
0.171535953879356... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
O forse ci sono prove basate su aneddoti.
| Ou quizais hai probas anecdóticas. | 5 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.8892551064491272,
1.1338398456573486,
0.24005964398384094,
-0.5348620414733887,
-0.3103134036064148,
-1.2485891580581665,
0.35631731152534485,
0.7254205942153931,
-0.4158075451850891,
-0.5959466695785522,
-0.8573123216629028,
0.44843149185180664,
-0.13932837545871735,
0.6284482479095459... |
Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: و تمام وقايعي رو که مرتبط بوده
Output: | and cross reference any incidents connected | 3 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-0.17319908738136292,
0.920218288898468,
-0.1828942596912384,
0.23058193922042847,
-0.645632266998291,
0.0714578777551651,
0.03456372022628784,
0.6776931285858154,
0.8255488872528076,
-0.2687525153160095,
-0.47947171330451965,
0.7562536001205444,
-0.01908445730805397,
0.460387647151947,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Więc trzy rodzaje danych dla każdego kraju - trzy rodzaje informacji.
国ごとに 3 種類のデータが揃っています 3 種のデータです
To zbliżenie na tę społeczność.
さらに接写した映像をお見せします
Mamy chęci do walki, a w wielu krajach taka walka już trwa i jest wygry... | 戦う意志があり、多くの国では戦いが行われ勝利しています。他の国、たとえば私の国ナイジェリアでは、独裁制の長い歴史があり戦いは現在行われていますが、まだまだ長い道のりです。
| 0 | NIv2 | task1257_ted_translation_pl_ja | fs_opt | [
-1.4758868217468262,
-0.3129536509513855,
-0.4492262005805969,
-0.22459685802459717,
-0.5252209305763245,
0.33119654655456543,
1.6201988458633423,
0.036929212510585785,
-0.5900710821151733,
-0.3352412283420563,
-0.2687370181083679,
0.15740875899791718,
-0.8969317674636841,
0.48282822966575... |
Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences are roughly equivalent, b... | 3 | 0 | NIv2 | task1347_glue_sts-b_similarity_classification | zs_opt | [
-0.27357542514801025,
0.199550062417984,
-0.3713586628437042,
0.7976114749908447,
0.5894972085952759,
-0.2993053197860718,
0.7567669153213501,
0.9397528171539307,
0.16090095043182373,
-0.01793091744184494,
-0.6847238540649414,
-0.28840357065200806,
-0.6651873588562012,
-0.18074004352092743... |
Instructions: This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a sentence and th... | 1963 | 3 | NIv2 | task1413_dart_object_identification | zs_opt | [
-0.7796344757080078,
0.5723446011543274,
-0.17844560742378235,
0.0014568293699994683,
-0.3178256154060364,
-0.33984506130218506,
0.9538025856018066,
0.2672489881515503,
0.4877060055732727,
0.3480255901813507,
-0.60064697265625,
-0.3840031325817108,
-0.35773569345474243,
0.20775523781776428... |
Part 1. Definition
Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the co... | attri | 7 | NIv2 | task1418_bless_semantic_relation_classification | fs_opt | [
0.25785496830940247,
0.014258285984396935,
-0.022449560463428497,
-0.18595916032791138,
-0.6462879776954651,
0.3767385184764862,
0.06354417651891708,
0.1724439263343811,
-0.2723681330680847,
-0.8775182962417603,
-0.29016387462615967,
0.1047530472278595,
-1.2269736528396606,
0.3675387203693... |
instruction:
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
question:
['6921', 'a', 'U', '2821', '2111', 'h', '3937', '3697', 'd', '6309', 'q', '7961', '5287', '5375', '2721', '4523', 'V', '8633', 'c', '7643']
answer:
67939
question... | 19249
| 9 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
-0.1659574806690216,
0.5090963840484619,
-0.706183135509491,
-1.3277344703674316,
-0.1980484127998352,
-0.0880797952413559,
0.4406360983848572,
-0.33560624718666077,
-0.3069876432418823,
-0.3466552495956421,
-1.2499589920043945,
0.47238048911094666,
0.5137679576873779,
-0.05272328853607178... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Q: [[48, 5, 19], [-30, -45], [15, 30, 50, -24, 39]... | [4560, 1350, -21060000, 25200, 6272640, 429, -185, 5434000, 26923050, 8976] | 4 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
0.07573506236076355,
0.22451961040496826,
-0.6841670870780945,
-0.43376991152763367,
-0.2333333045244217,
0.002391169313341379,
1.5243289470672607,
0.12397509813308716,
-0.28169697523117065,
-0.2835179269313812,
-1.1579965353012085,
0.2925568222999573,
-0.5636004209518433,
-0.0732761323451... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
One example is below.
Q: Egypt (similar results in Jordan)
A: مصر (با نتایجی مشابه در اردن)
Rationale: This is a good example. The above sentence is correctly translated from English to Persian.
Q: It's time to bury it, pe... | دیگر زمان خاک کردن این جنازه است. مردم تغییر میخواهند. " | 9 | NIv2 | task663_global_voices_en_fa_translation | fs_opt | [
-0.5105672478675842,
0.6210827827453613,
-0.15515905618667603,
-0.7294872999191284,
-0.5768002867698669,
-0.8300508260726929,
1.0803792476654053,
0.42767664790153503,
0.3883807957172394,
-0.08958287537097931,
-0.1786840558052063,
0.6740747094154358,
-0.4728039503097534,
0.2978256940841675,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Q: Porque ella era como él y a él le gustaba ella.
A: Perché lei era come lui e a lui piaceva lei.
****
Q: Cuanto más éxito y poder tengan, más infelices son,
A: E più hanno successo, e più potere ottengono, e più sono i... | Potremmo non essere soli.
****
| 4 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.8165627717971802,
1.2784749269485474,
0.3905804753303528,
-0.04934217780828476,
-0.2945825457572937,
-0.7208055257797241,
0.29194027185440063,
1.3305203914642334,
0.03773540258407593,
-0.26241615414619446,
-0.4739745855331421,
0.6302655339241028,
-0.173478364944458,
0.23776674270629883,... |
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. A... | Molecules of tRNA bring the building blocks of proteins to the ribosome in the correct sequence.
****
| 4 | NIv2 | task038_qasc_combined_fact | fs_opt | [
0.4798262119293213,
1.0767955780029297,
-0.8545865416526794,
0.2095441222190857,
-0.6019185781478882,
-1.3182072639465332,
-0.35170096158981323,
1.494948148727417,
-0.5441617965698242,
0.1784629374742508,
-1.1686840057373047,
0.43873873353004456,
-1.0076565742492676,
-0.016509365290403366,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Input: Consider Input: Ven el petróleo y el Corexit causando muerte a mucho, mucho más bajas dosis que el petróleo solo.
Output: Vedete che petrolio e Corexit causano la morte già in dosi di molto inferiori al solo petrol... | Output: Sono stati scritti 10 000 tweet con quell'hashtag, mentre per l'hashtag opposto, # OsloHero, erano una manciata.
| 2 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.9998989105224609,
1.4459012746810913,
-0.7918874025344849,
0.10063409805297852,
-0.6781817078590393,
-0.8547030687332153,
-0.3162449598312378,
1.7770321369171143,
-0.18975631892681122,
-0.03528415039181709,
-0.1938183605670929,
-0.025350064039230347,
0.04819795489311218,
-0.082184538245... |
Q: In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
M: Mary Lou Westin. It's been a hundred years! I haven't seen you since we were in high school. W: Rand... | (C) She is a lawyer. | 7 | NIv2 | task247_dream_answer_generation | zs_opt | [
0.2352733016014099,
0.2074437141418457,
-0.35474979877471924,
-0.6958991885185242,
0.6818667650222778,
-0.021149829030036926,
0.960224986076355,
1.173449158668518,
0.6438336372375488,
0.15435545146465302,
-0.07563509047031403,
-0.14969952404499054,
0.09050066769123077,
-0.31380850076675415... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Input: ליבי פעם במהירות, ראשי היה סחרחר, מנסה להפנים את מה שניצב מולי.
Output: | Mi corazón latía rápido, estaba mareada, tratando de entender lo que estaba delante de mí. | 2 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.16450029611587524,
0.42377567291259766,
0.3120828866958618,
-0.25613832473754883,
-0.13558290898799896,
-0.20566418766975403,
0.7491673231124878,
0.14634224772453308,
0.4962802529335022,
-0.35881227254867554,
-0.9317623972892761,
-0.5376042127609253,
-0.5968232750892639,
0.2155818492174... |
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Example: Problem: walking at 5 / 6 th of its usual speed a cab is 15 mnts late . find its usual time to cover the journey ?
Options: a ) 25 m , b ) 45 m , c ) 32 m , d ) 75 m , e ... | Solution: e | 5 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.19107502698898315,
0.40482819080352783,
-0.20082765817642212,
0.031069066375494003,
-0.47290417551994324,
-0.32305142283439636,
0.16291117668151855,
0.5748850703239441,
0.060151781886816025,
-0.1437218189239502,
-0.5576850175857544,
0.48545122146606445,
0.153351828455925,
-0.096040345728... |
Teacher: You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Teacher: Now, understand the problem? If you are still confused, see the following example:
2019 Election update: Buhar... | Entertainment | 2 | NIv2 | task612_yorubabbc_classification | fs_opt | [
0.2516738474369049,
-0.12662096321582794,
0.3268323242664337,
0.36088570952415466,
0.060088422149419785,
-0.5906774401664734,
-0.3388151228427887,
0.32355964183807373,
0.3394967317581177,
0.059408530592918396,
-0.25147339701652527,
-0.11150199174880981,
-0.6232094764709473,
-0.068830236792... |
Teacher:Classify the given hotel review based on the sentiment it expresses into two classes: negative and positive.
Teacher: Now, understand the problem? Solve this instance: Any traveler who is loyal to a favorite hotel has experienced this sad truth: eventually the lodging deteriorates. But you do not expect the pri... | negative | 6 | NIv2 | task902_deceptive_opinion_spam_classification | zs_opt | [
-0.32725024223327637,
0.2897353172302246,
-0.40876275300979614,
-0.10503695905208588,
-0.09764489531517029,
-0.8697605133056641,
0.5638999938964844,
0.7439678311347961,
0.1791466474533081,
-0.06019623577594757,
-0.007526662666350603,
0.44093260169029236,
-0.5277207493782043,
-0.64311319589... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پرتاب باشند... | Wtedy będą bezpieczne. | 0 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.2655049264431,
1.026728868484497,
0.2238042950630188,
-0.16987770795822144,
-0.7833638191223145,
0.47904205322265625,
1.4446959495544434,
0.003296553622931242,
0.05359559878706932,
-0.9400811791419983,
-0.8419581651687622,
1.0643457174301147,
-0.39854317903518677,
0.17840676009655,
0.... |
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "ac... | Output: unacceptable
| 2 | NIv2 | task616_cola_classification | fs_opt | [
-0.4366055727005005,
0.6143991351127625,
0.8308330178260803,
-0.14513754844665527,
-0.0591941736638546,
-1.1233115196228027,
0.4848725199699402,
0.3511045575141907,
0.261177659034729,
0.3678475320339203,
-0.6259379386901855,
0.30715101957321167,
-0.8866503238677979,
-0.017016656696796417,
... |
Given the task definition and input, reply with output. In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned... | [175, 139] | 5 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.16115257143974304,
0.7325539588928223,
-0.07216989994049072,
-0.47801876068115234,
0.3072298467159271,
-0.07581086456775665,
0.3985086977481842,
0.33108991384506226,
-0.6276500225067139,
0.561367392539978,
-0.6597694158554077,
0.012753082439303398,
-0.2691504955291748,
-0.21661484241485... |
Q: Classify the given hotel review based on the sentiment it expresses into two classes: negative and positive.
I reserved the "Rock star" suite for my boyfriend's birthday months and months in advanced. When we arrived at the Hotel Monaco, they told us that they doubled booked the room. This was after many emails to t... | negative | 7 | NIv2 | task902_deceptive_opinion_spam_classification | zs_opt | [
0.011171393096446991,
0.02185879275202751,
-0.40274760127067566,
-0.7422224283218384,
0.11608815938234329,
-0.3735496401786804,
0.7100811004638672,
0.8925653696060181,
1.0606813430786133,
-0.10786129534244537,
0.6332992315292358,
0.5036337375640869,
-1.2018938064575195,
-0.3489828109741211... |
You are given a statement written in Panjabi. 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 .
--------
Question: Statement: ਓਨਾਸਿਸ ਦਾ ਜਨਮ ਸਮਾਇਰਨਾ ( <MASK> ਵਿਚ ਅਜੋਕੀ ਅਜਮਿਰ ) ਵਿਚ ਹੋਇਆ ਸੀ ਅਤੇ ਗ੍ਰੀਕੋ-ਤੁਰਕੀ ਦੀ ਲੜਾ... | ਭਾਰਤ
| 7 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.5679724812507629,
0.9728232026100159,
-0.42215022444725037,
0.6321532726287842,
-0.14048656821250916,
-0.5210981965065002,
0.21782781183719635,
0.7148075103759766,
0.10976976901292801,
0.29344961047172546,
-0.3429883122444153,
0.7362799644470215,
-0.8797143697738647,
-0.3372708559036255,... |
Detailed Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Q: 5, ['3097', '8807', '3735', '8137', 'P', '1481', '5975', 'l', '2033', '251', '1299']
A: | 1481, 5975, l, 2033, 251, 1299 | 9 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
-0.35273611545562744,
-0.052460767328739166,
-0.4241337776184082,
-0.19155290722846985,
-0.5397906303405762,
-0.11663436889648438,
0.7382320165634155,
-0.0007568412693217397,
-0.38941869139671326,
0.07060033828020096,
-0.9937759637832642,
-0.31667229533195496,
0.03755778819322586,
0.307896... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
[EX Q]: A herd of elephants are walking along a trail.
[EX A]: O turmă de elefanți merge de-a lungul unei poteci.
[EX Q]: The dogs are chasing a cat.
[EX A]: Câinii fugăresc o pisi... | De asemenea, el și-a reafirmat dorința de a rezolva criza nucleară nord-coreeană în mod pașnic.
| 6 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-1.092577576637268,
0.27632826566696167,
-0.6648408770561218,
0.013119884766638279,
-0.5270601511001587,
-0.6834762096405029,
0.5182148218154907,
0.3262345492839813,
0.24953815340995789,
-0.4473240077495575,
0.05620413273572922,
0.7573447227478027,
-0.6954245567321777,
-0.0958724319934845,... |
Definition: In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
Input: [-67.392, 200.387, 131.541, 31.28, 233.091]
Output: | [-0.127 0.379 0.249 0.059 0.441] | 2 | NIv2 | task093_conala_normalize_lists | zs_opt | [
-0.5119818449020386,
-0.007347388658672571,
-0.8437573909759521,
-0.8217718601226807,
-0.0870262086391449,
0.21750731766223907,
0.46641045808792114,
-0.39954787492752075,
-0.25801604986190796,
-0.17614857852458954,
-0.6259039640426636,
0.45741745829582214,
-0.38999244570732117,
-0.40161120... |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it ... | i wish for a. wow a shoot star i wonder what i should wish for maybe a fish or maybe some mish cover in squish to eat maybe a pet bish or a nice cish to live in i cana't make up my mind ia'm run out of time ia'll just wish for a wish
| 3 | NIv2 | task1711_poki_text_generation | fs_opt | [
-0.2880464792251587,
1.7199504375457764,
-0.12694397568702698,
-0.8178248405456543,
-0.20675119757652283,
-0.5806925892829895,
0.09612396359443665,
0.4902186989784241,
0.06193514168262482,
-0.685660719871521,
-0.17345529794692993,
0.735645055770874,
-0.5101293325424194,
-0.2678934633731842... |
Detailed Instructions: In this task, you have to generate the title of the recipe given its required ingredients and directions.
Q: ingredients: '6 slices white bread, cubed', '1 1/4 c. shredded Cheddar cheese', '5 eggs', '2 1/2 c. milk', '1 pkg. Brown 'N Serve sausage', '1/2 tsp. salt (optional)', 'fried onions (opti... | Olive'S Omelet | 9 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.5711696147918701,
0.7243665456771851,
0.008123421110212803,
0.14422324299812317,
0.11784298717975616,
0.40722548961639404,
-0.1028781533241272,
0.4586772322654724,
-0.20600052177906036,
0.2566229999065399,
-0.07581913471221924,
0.023469239473342896,
-0.5669171810150146,
0.013025885447859... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Love the figurine but the box was damaged and falling apart. Will use by itself as a display. Found 1 elsewhere for $5 USD in prist... | Love the figurine but the box was damaged and falling ... | 1 | NIv2 | task618_amazonreview_summary_text_generation | zs_opt | [
-0.19490738213062286,
0.14358127117156982,
0.06625493615865707,
0.06113133952021599,
0.3707481622695923,
0.22664545476436615,
0.7673038244247437,
0.3734270930290222,
0.20650863647460938,
0.2725921869277954,
0.028458841145038605,
0.001957682892680168,
-0.26363232731819153,
0.150709584355354... |
Given the task definition and input, reply with output. Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may ... | What may be a fact about the speaker ? | 5 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
-0.052914828062057495,
0.22576367855072021,
0.08213517814874649,
0.1081332340836525,
-0.4328438341617584,
-0.3926834464073181,
0.00930830743163824,
0.615955114364624,
0.08517670631408691,
-0.04404439404606819,
-0.7907258868217468,
-0.361056387424469,
-0.42910194396972656,
0.413927942514419... |
Given the task definition and input, reply with output. The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce'... | closeuop | 5 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.853313148021698,
0.4384409189224243,
-0.2365790605545044,
0.6592013835906982,
0.298483282327652,
-0.5014573931694031,
1.0786575078964233,
0.1523447185754776,
0.3636151850223541,
-0.17741510272026062,
-0.003211790695786476,
-0.4615511894226074,
-0.5595568418502808,
-0.4323526918888092,
... |
Detailed Instructions: In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Problem:For to anything which We have willed, We but say the word, "Be", and it is.
Solution: | [زنده کردن مردگان برای ما دشوار نیست] فرمان ما درباره چیزی چون [به وجود آمدنش را] اراده کنیم، فقط این است که به آن میگوییم: باش، پس [بی درنگ] موجود میشود. | 8 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
0.5219279527664185,
1.2449572086334229,
0.2849186658859253,
-0.46626269817352295,
-0.40286681056022644,
-0.8748215436935425,
0.6483643054962158,
0.6884369850158691,
0.3443073034286499,
0.38455477356910706,
-0.47514063119888306,
0.06954427808523178,
-0.6715587377548218,
-0.23121124505996704... |
In this task, you are given a hateful post in English from online platforms. You are expected to classify the post into two classes: aggresive or non-aggresive. An aggresive post is one that expresses feelings and opinions in an abusive way and tries to dominate others. Note that the URLs in the text have been replaced... | Non-aggresive
| 6 | NIv2 | task335_hateeval_classification_aggresive_en | fs_opt | [
-0.7153835892677307,
0.5359777212142944,
0.5567964315414429,
0.47353655099868774,
-0.0386681854724884,
-0.8557378053665161,
0.4021567702293396,
0.4116850197315216,
0.1920178234577179,
0.7807246446609497,
0.046277135610580444,
0.13926953077316284,
-0.4672802686691284,
-0.4891835153102875,
... |
In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
One example: In January 2011 , the De... | Not paraphrase | 6 | NIv2 | task400_paws_paraphrase_classification | fs_opt | [
-0.24551482498645782,
-0.6505398750305176,
-0.15536373853683472,
0.24422064423561096,
-0.06460469961166382,
-0.511899471282959,
0.5196164846420288,
0.8282643556594849,
0.7058843374252319,
0.24064089357852936,
-0.8485853672027588,
0.9134321212768555,
-0.41819852590560913,
0.4820494353771209... |
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "d... | 3.
| 1 | NIv2 | task028_drop_answer_generation | fs_opt | [
1.0352656841278076,
-0.12566262483596802,
-0.6649095416069031,
-0.235774964094162,
0.39805424213409424,
-0.37897491455078125,
0.9178060293197632,
0.5718425512313843,
0.0789637416601181,
-0.1897723376750946,
-0.14961178600788116,
0.39362096786499023,
-0.7592328786849976,
-0.1482336074113845... |
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.
[EX Q]: What else can you te... | assistant
| 6 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.489529013633728,
0.7225725054740906,
-0.4143542945384979,
-0.9624918103218079,
-0.6271514296531677,
0.0859958752989769,
0.8260060548782349,
-0.801909327507019,
0.36778730154037476,
0.16393832862377167,
0.09704645723104477,
-0.4234141409397125,
-0.12131078541278839,
-0.21932391822338104,... |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Q: I am not happy with these and will return them they have been used. There are a lot of fi... | Bad review | 4 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.8238094449043274,
0.23878169059753418,
-0.34961074590682983,
-0.510204553604126,
0.33194202184677124,
-1.0312511920928955,
0.9853699803352356,
0.7015188932418823,
-0.24780488014221191,
0.6398946046829224,
-0.25900623202323914,
0.934974193572998,
-0.44100749492645264,
-0.1629020273685455... |
Teacher:In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Teacher: Now, understand the problem? Solve this instance: Article: Do you know the open-air art gallery in London's Blackall Street? Probably -not. Not many Londoners know it e... | How does the Recovery College help the homeless people? | 6 | NIv2 | task311_race_question_generation | zs_opt | [
-0.0344851016998291,
0.6596826910972595,
0.1773013174533844,
-0.5479751825332642,
0.08617951720952988,
-0.48134845495224,
0.028903095051646233,
0.8303248286247253,
0.4805803894996643,
-0.2257402241230011,
-0.4794556498527527,
1.0081005096435547,
-0.7073045969009399,
0.032995257526636124,
... |
Definition: You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Input: Won't go back again! VERY disappointed\n\nMade a business dinner reservation for 4 at 7pm during CES.\nNot unlike many airlines, they clearly over-booked, because we didn't get a table until ... | 1 star | 2 | NIv2 | task1292_yelp_review_full_text_categorization | zs_opt | [
0.2718779742717743,
0.40714988112449646,
-0.5648153424263,
-0.14706707000732422,
0.4011073112487793,
-0.06154509261250496,
0.0948377400636673,
0.8974158763885498,
-0.14829546213150024,
0.12384365499019623,
0.6264157891273499,
0.2610328793525696,
-0.12923145294189453,
0.2918923497200012,
... |
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.
Ex Input:
சீனா காரன் அட்டூழியம் அழிய வே... | Hope Speech
| 1 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
-0.5182443857192993,
-0.13123080134391785,
0.4299696683883667,
0.576071560382843,
-0.21590161323547363,
-0.46460363268852234,
-0.5241865515708923,
0.8763574361801147,
-0.7167462110519409,
0.5667402148246765,
0.2386426031589508,
0.05019849166274071,
0.006975582335144281,
-0.4959502816200256... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Q: Powiem teraz o jednej przygnębiającej rzeczy.
A: | ここで非常に残念なことを申し上げねばなりません | 4 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-0.5704910755157471,
0.8179680109024048,
0.026840612292289734,
-0.9531825184822083,
-0.2502172291278839,
-0.8641263842582703,
0.7189990282058716,
0.025440514087677002,
0.4912286698818207,
0.0017651175148785114,
-0.5973472595214844,
-0.2587186396121979,
-0.4233440160751343,
0.02069276571273... |
Q: In this task, you are given a hateful post in English from online platforms. You are expected to classify the post into two classes: aggresive or non-aggresive. An aggresive post is one that expresses feelings and opinions in an abusive way and tries to dominate others. Note that the URLs in the text have been repla... | Aggresive | 7 | NIv2 | task335_hateeval_classification_aggresive_en | zs_opt | [
-0.8845327496528625,
0.8530719876289368,
1.0225532054901123,
0.1133728101849556,
-0.26304179430007935,
-0.9471162557601929,
0.5572615265846252,
0.7117199897766113,
0.1714746505022049,
0.30021795630455017,
-0.0769004076719284,
0.06760260462760925,
-0.33761799335479736,
-0.5531761646270752,
... |
Teacher: In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What ... | False | 2 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
-0.37996309995651245,
-0.08079103380441666,
0.08611702173948288,
-0.0012557362206280231,
0.35993754863739014,
-0.33236318826675415,
-0.3169527053833008,
1.0928599834442139,
-0.1174820214509964,
0.31392621994018555,
-1.1272298097610474,
0.4225597679615021,
-0.3081815838813782,
0.20960722863... |
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). Person... | Yes | 5 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.30387717485427856,
0.4433027505874634,
0.45521074533462524,
0.04488478600978851,
-0.3431847095489502,
-0.634105384349823,
1.2300158739089966,
0.5252460837364197,
-0.6183027029037476,
-0.7519262433052063,
-0.4738715887069702,
-0.020384185016155243,
-0.7664130926132202,
0.2180248498916626,... |
Detailed Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i wil... | 814143018029 | 8 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.40502819418907166,
0.5606552362442017,
-0.44781094789505005,
-0.9726649522781372,
-0.2880127429962158,
-0.24683362245559692,
0.37185409665107727,
-0.21619370579719543,
-0.10273867845535278,
0.172153502702713,
-1.049094557762146,
0.3415791392326355,
0.11716866493225098,
-0.02761604264378... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
I went to a Taylor Swift concert in middle school. | Have you seen a live band in concert? | 0 | NIv2 | task568_circa_question_generation | zs_opt | [
0.16038961708545685,
0.36360615491867065,
-0.7382867932319641,
0.6099302172660828,
0.9647443890571594,
-0.4212580621242523,
-1.1511213779449463,
-0.4485592842102051,
0.2555735409259796,
0.27030280232429504,
0.6522027254104614,
0.10050913691520691,
-1.548779845237732,
-0.013211446814239025,... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
One example is below.
Q:... | 2 | 9 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
-0.5483407974243164,
0.5300419926643372,
0.5088967084884644,
0.0202205590903759,
-0.3619009256362915,
-0.19655176997184753,
0.42905834317207336,
0.8762780427932739,
0.08287957310676575,
0.08254188299179077,
-0.6027871370315552,
0.026216289028525352,
-0.1326163411140442,
-0.2899325489997864... |
Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and" is a dialogue exchang... | Good morning Meredith. How are you today?
| 1 | NIv2 | task360_spolin_yesand_response_generation | fs_opt | [
0.9007254242897034,
0.7001503705978394,
0.2582207918167114,
0.45367440581321716,
0.22959628701210022,
-1.1867358684539795,
0.49983587861061096,
0.5310092568397522,
-0.06429524719715118,
-0.3576394319534302,
-0.5513139963150024,
0.2993488907814026,
-0.7553766965866089,
0.47114819288253784,
... |
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 will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s.
He grew up in Evan... | Crewe | 0 | NIv2 | task330_gap_answer_generation | fs_opt | [
0.290273517370224,
0.2637186348438263,
-0.4604969024658203,
0.29907530546188354,
0.3015393614768982,
-0.36645978689193726,
0.8507876396179199,
0.3496508002281189,
0.022328611463308334,
0.20804071426391602,
-0.5924242734909058,
0.09871542453765869,
-0.5606651902198792,
-0.15166786313056946,... |
Definition: You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Input: Questo è un Boeing 707.
Output: | این یه بوئینگ ۷۰۷ است. | 2 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
-0.796862006187439,
1.23816978931427,
-0.14053872227668762,
-0.02530447393655777,
0.13962726294994354,
-0.2765621542930603,
0.2842596173286438,
1.36732017993927,
0.5456192493438721,
0.33063891530036926,
-0.7173078060150146,
0.6168454885482788,
0.3504610061645508,
0.765917181968689,
-0.10... |
Q: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you ... | [1764, -42, -224, 20, 50400, 160, 48, 1600, -52, 0, 0, -2, 7176, -44, -88320] | 7 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
-0.19938229024410248,
0.6850718855857849,
-0.3986448347568512,
-0.0627293586730957,
0.11030188202857971,
-0.37376639246940613,
0.9803021550178528,
0.03307443857192993,
0.041146568953990936,
-0.13484086096286774,
-0.6388014554977417,
0.43871742486953735,
-0.6393213272094727,
-0.383772194385... |
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.
DDT has saved many lives by killing mosquitoes that carry malaria and other diseases . But , when DDT accumulates in the bodies of fish , birds , and other wildl... | डी डी टी ने मलेरिया तथा अन्य बीमारियां फैलाने वाले मच्छरों को मारकर कई जाने बचाई हैं , परंतु यही डी डी टी जब मछलियों , पक्षियों तथा अन्य जंगली जीवों के शरीर में जमा हो जाती है तो वह प्रदूषक बन जाती है । | 0 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
0.006817556917667389,
0.3206668198108673,
-0.658543586730957,
-0.44520872831344604,
-0.14623579382896423,
-1.6342711448669434,
0.07700002193450928,
0.2386448085308075,
-0.5880516171455383,
0.09543885290622711,
-0.496939092874527,
-0.08675265312194824,
-0.9362573623657227,
-0.26381012797355... |
Part 1. 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.... | No | 7 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
0.7110600471496582,
0.048223309218883514,
0.3050709664821625,
0.04069950804114342,
-0.3370150625705719,
-1.0997252464294434,
0.7970023155212402,
0.5448304414749146,
-0.36775878071784973,
-0.13241128623485565,
-0.47374147176742554,
-0.42348337173461914,
-0.6997961401939392,
0.04388510808348... |
In this task, you are given a set of reviews from Amazon and Yelp. Your task is to generate a summary of a given set of reviews about the information present in reviews. This generated summary should reflect users' common opinions expressed in the reviews, the common sentiment of the opinions and their details, and sho... | they seem to have enjoyed the great service from the tatoo shop and this clearly shows how professional and they also showed how warm entertaining and friendly the service at the tatoo shop. it sure shows a good picture of the owner and the shop because the services were awesome and great to the customers and will be h... | 5 | NIv2 | task672_amazon_and_yelp_summarization_dataset_summarization | fs_opt | [
0.3448169231414795,
-0.5518484115600586,
0.005607090890407562,
-0.06699183583259583,
1.0332374572753906,
-0.2375997006893158,
1.270704984664917,
1.1679389476776123,
-0.11659245938062668,
0.25657397508621216,
0.5095527768135071,
0.11690802872180939,
-0.40533262491226196,
0.19330492615699768... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Example: PPdQTlHHTJEe, DydQTlHHVnmlLu
Output: dQTlHH
Here, 'dQTlHH' is the longest common substring in both the input strings 'PPdQTlHHTJEe... | WhYcsVrxwS | 1 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | fs_opt | [
-0.07033948600292206,
1.1396238803863525,
-0.4604341387748718,
-0.20093216001987457,
0.04052520543336868,
-0.533544659614563,
0.15376172959804535,
-0.2684055268764496,
0.06478190422058105,
0.10183687508106232,
-0.739084780216217,
-0.7298322319984436,
0.1468973457813263,
-0.1170054823160171... |
Instructions: You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report final the numerical answer.
Input: Patricia starts with 76 candie... | 71 | 3 | NIv2 | task868_mawps_singleop_question_answering | zs_opt | [
0.2684130072593689,
0.38625645637512207,
-0.09043862670660019,
-0.546353816986084,
-0.5224922895431519,
0.2203359305858612,
0.6193469166755676,
0.41664403676986694,
0.44006335735321045,
-0.4730544090270996,
-0.38448667526245117,
-0.4121147394180298,
-0.2062489241361618,
0.2775289714336395,... |
You are given a statement written in Panjabi. 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 .
Q: Statement: ਨੀਲਕੰਠੀ ਪਿੱਦੀ (ਅੰਗਰੇਜ਼ੀ: Bluethroat) ਨੀਲਕੰਠੀ ਪਿੱਦੀ <MASK> ਤੇ ਉੱਤਰੀ ਅਮਰੀਕਾ ਦੇ ਕੁਝ ਹਿੱਸਿਆਂ, ਖ਼ਾਸ ਕਰਕੇ ... | ਯੂਰੇਸ਼ੀਆ | 4 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | zs_opt | [
-0.4805081784725189,
0.041942812502384186,
0.4710776209831238,
0.32626813650131226,
-0.3827067017555237,
0.2315908521413803,
0.7411938905715942,
0.06764557957649231,
0.4320007562637329,
0.5007357597351074,
-0.29601797461509705,
-0.4222105145454407,
-0.544769823551178,
0.4344894587993622,
... |
Definition: From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Input: Given Relationship: 'meet in', Sentence: 'A new global trade round luckily proved too ambitious for the EU at the WTO meeting in Seattle .'
Out... | meeting | 2 | NIv2 | task678_ollie_actual_relationship_answer_generation | zs_opt | [
-0.12390613555908203,
0.6983503103256226,
-0.2968843877315521,
-0.048757411539554596,
-0.130214124917984,
-0.5562803745269775,
-0.5875128507614136,
0.027201935648918152,
0.6662150621414185,
0.3055073022842407,
-0.19117167592048645,
0.48966434597969055,
-0.49193432927131653,
0.3068934977054... |
In this task, you need to remove 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.
[Q]: Sentence: 'a group of people are working on a farm'. Remove all words of length '5' in the given sentence.
[A]: a of people are work... | donuts one has a cherry and a
| 5 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
0.5310019254684448,
0.3833247423171997,
-0.47872626781463623,
-0.786214292049408,
-0.1576858013868332,
-0.6537790298461914,
-0.10003557056188583,
0.6178652048110962,
-0.0873737633228302,
-0.20883288979530334,
-1.3833298683166504,
-0.4575825035572052,
-0.5338091850280762,
-0.234679400920867... |
Teacher:Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: มีความจำเป็นต้องมีหนังสือเหมือนกันสำหรับค่ายที่แยกจากกันทั้งสี่ค่าย เพื่อป้องกันไม่... | キャンプ間で通信をするために本を隠れて使用することを避けるために、複製した本が４つのそれぞれのキャンプで必要となる。 | 6 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.1520402878522873,
0.18362608551979065,
-0.42301756143569946,
-0.3922080993652344,
0.23916137218475342,
-1.0859755277633667,
0.9210761189460754,
0.32332009077072144,
-0.20245370268821716,
-0.014889998361468315,
-0.3055362105369568,
-0.08849651366472244,
-0.8399909734725952,
0.16601838171... |
Given the task definition and input, reply with output. Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
Okay, so let's talk about the stupidity of this. Tallman was wanted for burglary and, after a high speed chase that no doubt endangered lives, reckless en... | Yes | 5 | NIv2 | task1721_civil_comments_obscenity_classification | zs_opt | [
-0.13276037573814392,
0.739653468132019,
0.5281832814216614,
0.04564712196588516,
0.17306549847126007,
-0.07994455099105835,
0.3200686573982239,
0.25882965326309204,
0.41271692514419556,
0.31747710704803467,
-0.44119808077812195,
0.41707658767700195,
-0.2854154407978058,
-0.488830536603927... |
Teacher: In this task, you have given an input which is user's command or question, based on that you have to return what will be Agent's response/reply for that particular user's command or question
Teacher: Now, understand the problem? If you are still confused, see the following example:
Hi Does R House have a full ... | It's rated 9 stars. | 2 | NIv2 | task1603_smcalflow_sentence_generation | fs_opt | [
-0.14017057418823242,
-0.03569692745804787,
0.2248414158821106,
0.3271561861038208,
0.2979234457015991,
-1.4478180408477783,
0.5933001637458801,
0.20760171115398407,
0.13992342352867126,
0.011566725559532642,
0.06930772960186005,
-0.3146296739578247,
-0.6736245155334473,
0.1495466530323028... |
You will be given a definition of a task first, then some input of the task.
Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
nonoperational
Output: | operational | 1 | NIv2 | task1508_wordnet_antonyms | zs_opt | [
0.20148912072181702,
1.373564600944519,
0.3024878203868866,
0.21761298179626465,
-0.33616316318511963,
0.09360228478908539,
-0.17862935364246368,
0.6473453640937805,
0.5442529916763306,
-0.12429383397102356,
-0.7617360949516296,
-1.161808967590332,
-0.8737143278121948,
-0.4062166213989258,... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | A man is sitting on a bed.
| 7 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | fs_opt | [
0.3226947784423828,
1.0127530097961426,
-0.20432311296463013,
-0.5286295413970947,
0.21078212559223175,
-0.6487842798233032,
0.3815542161464691,
0.5476306676864624,
0.5921323299407959,
-0.25555163621902466,
-0.6590093374252319,
-0.8507200479507446,
-0.6193122863769531,
-0.5370801091194153,... |
Teacher: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., sec... | yes | 6 | NIv2 | task472_haspart_classification | zs_opt | [
-0.4606667757034302,
0.33201128244400024,
0.5635977983474731,
0.4706335663795471,
-0.2535467743873596,
-1.079801321029663,
-0.016957029700279236,
0.7396953105926514,
0.5413945913314819,
-0.8217589855194092,
-0.10715456306934357,
-0.07708510756492615,
-0.25915229320526123,
-0.38007825613021... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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.
But Eluned Morgan conceded t... | 'Supermodel' Goce satellite to fall to Earth | 0 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.11200004070997238,
1.3281168937683105,
0.0639318972826004,
-0.7255017757415771,
0.8530071973800659,
-0.35681408643722534,
0.38917869329452515,
0.8224916458129883,
-0.6798814535140991,
0.33562394976615906,
0.3071814477443695,
0.8156323432922363,
-0.05247458815574646,
0.49372559785842896,
... |
TASK DEFINITION: Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
PROBLEM: Cats have ____ sets of vocal cords.\Question: Choose the right answer from options given a) zero b) nine c) two d) three
... | a
| 8 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
-0.24143821001052856,
0.7204422950744629,
-0.5902777910232544,
-0.3828652501106262,
-0.3267943263053894,
0.005422596354037523,
0.575804591178894,
0.22339743375778198,
-0.6808127164840698,
-0.08581869304180145,
-0.29432451725006104,
0.2629740238189697,
-0.6727991104125977,
0.129676684737205... |
Part 1. Definition
In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might... | ifosfamide | 7 | NIv2 | task1447_drug_extraction_ade | fs_opt | [
0.672095537185669,
0.27238887548446655,
-0.17328274250030518,
-1.136857032775879,
-0.09121975302696228,
-0.8263776898384094,
1.1694085597991943,
0.49678289890289307,
1.112280249595642,
-0.7639281749725342,
-0.9359496831893921,
-0.21866469085216522,
-0.7578712701797485,
-0.4033223092556,
... |
In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always have a va... | f5863 | 0 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.4829414188861847,
0.28621089458465576,
-0.36627447605133057,
-0.2917456328868866,
0.011142844334244728,
0.008585313335061073,
0.5283937454223633,
-0.2528577446937561,
-0.048550307750701904,
0.41427376866340637,
-1.0271753072738647,
-0.1582096815109253,
0.12832294404506683,
-0.6148529052... |
instruction:
In this task, you are given an input text which is in one of the 11 languages listed as follows: ['Oriya' 'Malayalam' 'Bengali' 'Gujarati' 'Hindi' 'English' 'Marathi'
'Panjabi' 'Tamil' 'Telugu' 'Urdu']. Identify the language of input text. The input text can be in one of the given languages only. Input se... | Punjabi
| 9 | NIv2 | task976_pib_indian_language_identification | fs_opt | [
-0.5065047740936279,
-0.04836907610297203,
-0.02980116568505764,
-0.40030065178871155,
-0.3097987473011017,
-0.2082853615283966,
0.5765218734741211,
0.7508442997932434,
0.5871920585632324,
-0.30639076232910156,
-0.6244208812713623,
-0.34052154421806335,
-0.24041913449764252,
0.096178308129... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | False
| 3 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.021610375493764877,
-0.04022541642189026,
-0.06322892010211945,
0.029988903552293777,
-0.25940147042274475,
0.047562457621097565,
0.2277066558599472,
0.5170990228652954,
0.22404822707176208,
-0.09023270010948181,
-0.44716179370880127,
-0.015203312039375305,
0.16186203062534332,
-0.25298... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.