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.
You are given a statement written in Oriya. 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: ମହାଭାରତ ଓ ରାମାୟଣ, <MASK>ର ସ... | ଭାରତ | 1 | NIv2 | task951_wiki_cloze_or_multiple_choice_question_answering | zs_opt | [
-0.040103524923324585,
0.8936876654624939,
0.1593548208475113,
-0.23057034611701965,
-0.22730258107185364,
-0.1403537392616272,
-0.006316242273896933,
0.12415407598018646,
-0.07059524953365326,
0.477505087852478,
-0.8237828016281128,
-0.3123464584350586,
-0.44015246629714966,
-0.6778056621... |
TASK DEFINITION: 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.
PROBLEM: No ... | user
| 8 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.1875409185886383,
0.17555774748325348,
0.20782557129859924,
-0.6793723106384277,
-0.38336610794067383,
-0.3473363518714905,
1.0899938344955444,
-0.455975741147995,
0.7887142300605774,
-0.6076315641403198,
-0.10860872268676758,
-0.4044477939605713,
-0.3199574053287506,
-0.228488087654113... |
Detailed Instructions: A text is given in Oriya. Translate it from the Oriya language to the Tamil language. The translation must not omit or add information to the original sentence.
Problem:ତଦନ୍ତ ପରେ ସିକନ୍ଦରାବାଦ-କାଜିପେଟା ସେକ୍ସନରେ ନିଯୁକ୍ତ ଥିବା ଭେଣ୍ଡିଙ୍ଗ କଣ୍ଟ୍ରାକ୍ଟର ପି.
Solution: | ராஜஸ்தான் மாநிலம் ஜுனஜுனுவில் கடந்த மார்ச் 8ம் தேதி நடைபெற்ற நிகழ்ச்சியில் பேசிய பிரதம மந்திரி திரு. | 8 | NIv2 | task1073_pib_translation_oriya_tamil | zs_opt | [
-0.46503013372421265,
0.5664100646972656,
-0.04651937261223793,
0.9012154340744019,
-0.1761854737997055,
-0.6016983985900879,
-0.16817539930343628,
0.30732011795043945,
-0.38208431005477905,
0.1367783546447754,
0.24043941497802734,
-0.8239462375640869,
-0.04997771233320236,
0.4532226920127... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
Q: וכך, אם אתם חושבים על סרטן כמערכת, יש קלט ופלט ואיזה שהוא מצב בינהם.
A: | Tak więc, jeśli pomyślisz o raku jako o systemie, istnieje wejście, wyjście i stan pośredni. | 9 | NIv2 | task1112_ted_translation_he_pl | zs_opt | [
0.17576757073402405,
0.44778913259506226,
-0.47201603651046753,
0.3293588161468506,
-0.12945857644081116,
-0.18956102430820465,
0.6829580664634705,
0.28268516063690186,
0.7874352931976318,
-0.0027163177728652954,
0.2099798619747162,
0.6875089406967163,
-0.44414833188056946,
0.8785808086395... |
Instructions: 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.
Input: Mahjong is a Chinese game over ____ thousand years old.
Output: | two | 3 | NIv2 | task1359_numer_sense_answer_generation | zs_opt | [
0.270527184009552,
0.9566593170166016,
-0.3311518132686615,
-0.48468029499053955,
-0.341447651386261,
-0.29961535334587097,
0.3579729199409485,
0.09706210345029831,
-0.22174519300460815,
-0.5204734802246094,
-0.7083966732025146,
-0.44398149847984314,
-0.0714995265007019,
-0.138255640864372... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Problem:Moglibyśmy mieć ogólnokrajowy, darmowy system komunikacji bezprzewodowej.
Solution: | يمكن أن يكون لدينا نظام إتصالات لاسلكي مجانا من الساحل إلى الساحل. | 8 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.6205921173095703,
0.910727322101593,
0.15208011865615845,
-1.0775007009506226,
0.14760005474090576,
0.2563333511352539,
1.7359278202056885,
-0.042733196169137955,
0.5197867155075073,
0.412932425737381,
-0.6925581693649292,
-0.1314089596271515,
-0.3769547641277313,
-0.2729524075984955,
... |
instruction:
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... | [540, -8, 0, 2, -28, 10, 0, -1248, -38, -152, -8]
| 9 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
0.17826196551322937,
0.10123774409294128,
-0.8413267135620117,
-0.04596756026148796,
-0.10317736864089966,
-0.6481696963310242,
1.3296817541122437,
0.7386742234230042,
-0.6319836974143982,
-0.14883039891719818,
-0.8205508589744568,
0.36425915360450745,
-0.5877014398574829,
-0.1808999627828... |
Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the t... | For mating, communication is between individuals of the same organism. | 3 | NIv2 | task037_qasc_generate_related_fact | fs_opt | [
-0.13580837845802307,
0.8961895108222961,
-0.9184987545013428,
0.30871719121932983,
-0.7567803859710693,
-1.1199414730072021,
-0.14770817756652832,
0.9532376527786255,
-0.5710148215293884,
-0.03490007296204567,
-1.1482383012771606,
0.8981003761291504,
-0.24491505324840546,
-0.1550220549106... |
A text is given in Oriya. Translate it from the Oriya language to the Urdu language. The translation must not omit or add information to the original sentence.
Example input: କେନ୍ଦ୍ର ସରକାର ଉତ୍ତର-ପୂର୍ବାଂଚଳରେ ବାରମ୍ବାର ଘଟୁଥିବା ବନ୍ୟା ପରିସ୍ଥିତିର ଦୀର୍ଘସ୍ଥାୟୀ ସମାଧାନ ପନ୍ଥା ବାହାର କରିବା ଦିଗରେ ଆବଶ୍ୟକ ଅନୁଧ୍ୟାନ ପାଇଁ ଆଉ 100 କୋଟି ଟଙ... | اس بائی پاس سے شہر میں ٹریفک کی بھیڑ بھاڑ کم ہوگی اور ٹریفک کی آمدو رفت میں آسانیاں پیدا ہوں گی۔ | 3 | NIv2 | task977_pib_translation_oriya_urdu | fs_opt | [
-1.20993173122406,
0.6929277181625366,
-0.15792106091976166,
-0.2797672152519226,
-0.11721780896186829,
-0.9107756614685059,
0.6417092084884644,
0.4120364487171173,
-0.3464262783527374,
-0.0985899567604065,
-0.6547366380691528,
0.2202666699886322,
-0.26793932914733887,
0.6378451585769653,
... |
Q: You are given an unfinished Catalan sentence, and you need to predict the rest of it.
Tot i que ahir hi va haver una reunió de darrera hora
A: | , no es va aconseguir acostar posicions , de manera que els treballadors han decidit anar a la vaga . | 7 | NIv2 | task961_ancora-ca-ner_text_auto_completion | zs_opt | [
0.8578042984008789,
1.356050968170166,
-0.2898281514644623,
-0.056660085916519165,
-1.0013456344604492,
0.11889250576496124,
0.5111751556396484,
0.0206613726913929,
0.07649928331375122,
-0.1264125257730484,
-0.3301597535610199,
0.2632952332496643,
-0.8093492984771729,
0.888860285282135,
... |
In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Ex Input:
Article: Started in 1636, Harvard University is the o... | Marilyn went to Liberia to _ .
| 1 | NIv2 | task649_race_blank_question_generation | fs_opt | [
0.42641863226890564,
0.04454060271382332,
-0.0227314755320549,
-0.6880466938018799,
0.5058774948120117,
-0.8073787689208984,
0.397625207901001,
1.1333558559417725,
-0.1787223219871521,
-0.4852023720741272,
-0.37185800075531006,
0.4078902006149292,
-0.3298264741897583,
0.35396432876586914,
... |
Given the task definition and input, reply with output. You are given a statement written in Tamil. 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: இந்த அறக்கட்டளை இலங்கை உள்நாட்டுப் போரினால் பாதி... | தமிழ்நாட்டில் | 5 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | zs_opt | [
0.23491734266281128,
0.769818127155304,
0.43424904346466064,
0.4728352427482605,
-0.46270477771759033,
-0.4887496829032898,
0.48072919249534607,
0.9023587107658386,
0.1455589234828949,
0.089545838534832,
-0.32540345191955566,
0.9393873810768127,
-0.9338579177856445,
-0.10579848289489746,
... |
Detailed Instructions: Given a sentence in Russian, generate a new Russian 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 reasona... | Вы скорее всего найдете зубную щетку в ванной. | 9 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.07225511968135834,
0.4590664207935333,
0.18028847873210907,
-0.9032290577888489,
-0.5497266054153442,
-0.3346260190010071,
0.6125836372375488,
1.3574678897857666,
0.04152776300907135,
-0.46056121587753296,
-0.16427075862884521,
-0.09074848890304565,
-0.2518239915370941,
0.28060176968574... |
Given the task definition and input, reply with output. 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 stor... | Yes | 5 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
-0.5464926958084106,
0.38695138692855835,
0.24397215247154236,
-0.017395731061697006,
-0.4767763614654541,
0.10343076288700104,
0.3919602334499359,
0.6032822132110596,
0.002138208132237196,
-0.283413827419281,
-0.4016006886959076,
-0.4662236273288727,
-0.363950252532959,
-0.057893592864274... |
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as ... | a
| 5 | NIv2 | task231_iirc_link_classification | fs_opt | [
1.0004711151123047,
0.39307135343551636,
-0.7607254981994629,
0.4361899793148041,
0.3477611243724823,
-0.2672435939311981,
1.0256319046020508,
0.753865122795105,
-0.20831361413002014,
0.3389352262020111,
-0.07622206956148148,
-0.1250719577074051,
-0.5719724893569946,
0.5177455544471741,
... |
instruction:
In this task you will be given a list of strings and you need to concatenate them.
question:
['ground', 'Y', 'M', 'H', 'to', 'J', 'to', 'Z']
answer:
groundYMHtoJtoZ
question:
['z', 'X', 'them.', 'W', 'd', 'z', 'burst', 'p', 'boats;', 'I']
answer:
zXthem.Wdzburstpboats;I
question:
['Yes,', 'H', 'o', 'wh... | Yes,Howhale,vVthusnA
| 9 | NIv2 | task079_conala_concat_strings | fs_opt | [
-0.039517175406217575,
0.26469457149505615,
-0.20767244696617126,
-0.34467771649360657,
0.3272998332977295,
-1.1395961046218872,
0.6520459055900574,
0.0290849506855011,
-0.31431955099105835,
0.024863332509994507,
-0.9296733140945435,
-0.2750386595726013,
-0.16636264324188232,
-0.1233351603... |
instruction:
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'.
question:
What kind cf parakeets are they investigating all people owning?
answer:
0
question:
Peter is owners.
a... | 0
| 9 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | fs_opt | [
-0.5360119938850403,
0.7535122632980347,
-0.49347352981567383,
-1.1775834560394287,
0.44668132066726685,
-0.7950488328933716,
0.8049169182777405,
0.3160697817802429,
0.14428967237472534,
-0.3084239959716797,
-1.22630774974823,
-0.08932975679636002,
-0.06525959819555283,
-0.8180720806121826... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Context: Mr. Letterman, you have always be... | no | 0 | NIv2 | task242_tweetqa_classification | zs_opt | [
-0.22506986558437347,
0.10555936396121979,
0.4049014449119568,
-0.3279244899749756,
0.2267165631055832,
0.20237866044044495,
0.3181907832622528,
0.02895257994532585,
0.14251261949539185,
0.8995742797851562,
-0.3384832739830017,
-0.09821012616157532,
-0.2844001054763794,
0.1367257833480835,... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on... | Changed
| 6 | NIv2 | task515_senteval_odd_word_out | fs_opt | [
-0.9095760583877563,
0.9569861888885498,
0.19059495627880096,
-0.3047861158847809,
-0.45425140857696533,
-0.5571044683456421,
0.5034629702568054,
0.5825861692428589,
0.657881498336792,
-0.3870488703250885,
-0.31278058886528015,
-0.4589923024177551,
-0.9638085961341858,
0.06619217246770859,... |
Definition: 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 ... | [30, -6048, -32, -684, 22] | 2 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
-0.35773196816444397,
0.6098242998123169,
-0.5364875793457031,
-0.060347385704517365,
0.1545446366071701,
-0.03511296957731247,
0.6576040387153625,
0.09160085022449493,
0.16031567752361298,
-0.10295490175485611,
-0.9584344029426575,
0.2529521882534027,
-0.52005535364151,
-0.386008828878402... |
In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
Q: how many people have mariah carey dated?, Answer: Daydream (1995) made music history when its second single " One Sweet Day ", a duet with Boyz II Men , spent a record sixteen... | No | 4 | NIv2 | task1294_wiki_qa_answer_verification | zs_opt | [
-0.8699632287025452,
0.31378647685050964,
-0.26939743757247925,
-0.41768282651901245,
-0.24998745322227478,
0.5279814004898071,
-0.07148097455501556,
0.11034345626831055,
-0.5027161836624146,
-0.027776580303907394,
-0.020035114139318466,
-0.5391232967376709,
0.14062723517417908,
-0.6447914... |
Given the task definition and input, reply with output. In this task, you need to replace a letter in the sentence with another given letter.
Sentence: 'a patio filled with white tables and chairs covered with umbrellas'. Replace the letter 'o' with 'e' in the sentence.
| a patie filled with white tables and chairs cevered with umbrellas | 5 | NIv2 | task160_replace_letter_in_a_sentence | zs_opt | [
-0.5862355828285217,
1.0444910526275635,
-0.4387378692626953,
0.06885908544063568,
0.020567934960126877,
-0.7589726448059082,
-0.02280503883957863,
0.6417567729949951,
0.2609204351902008,
-0.21908241510391235,
-0.012988319620490074,
0.3167932629585266,
-0.30405575037002563,
-0.378633737564... |
Teacher:Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Teacher: Now, understand the problem? Solve this instance: Pos... | Positive | 6 | NIv2 | task823_peixian-rtgender_sentiment_analysis | zs_opt | [
-1.2639743089675903,
-0.38848286867141724,
0.18031930923461914,
-0.06690121442079544,
0.07219912856817245,
-0.05267847329378128,
0.21508066356182098,
0.4236331284046173,
0.7265339493751526,
-0.049722373485565186,
0.3795403838157654,
0.21578416228294373,
-0.2544807493686676,
-0.141318440437... |
Given a paragraph about cooking, and a set of conversational question answers about the paragraph, answer a follow-up question from the paragraph. The paragraph has a prefix 'CONTEXT:'. Each conversation question has a prefix 'Q:' followed by answer prefix 'A:'. The final followup question has a prefix 'FOLLOWUP_Q:'.
-... | there is no real formula any more to create an actual percentage
| 7 | NIv2 | task1438_doqa_cooking_answer_generation | fs_opt | [
0.3807324171066284,
0.37450605630874634,
-0.27188417315483093,
-0.08325961232185364,
0.03197159618139267,
-0.5665397047996521,
0.5672975778579712,
1.2839384078979492,
-0.4198170006275177,
-0.23114557564258575,
-0.072238989174366,
0.3284326493740082,
-0.2795151174068451,
-0.1842185258865356... |
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 neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse ... | A man and a women hug.
| 5 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
-0.8754004240036011,
0.6777909994125366,
-0.21953871846199036,
-0.894254744052887,
-0.20748546719551086,
-0.8961915373802185,
0.37102746963500977,
0.5079709887504578,
0.4984144866466522,
-0.32677292823791504,
-0.7596887350082397,
-0.14808380603790283,
-0.3537384867668152,
0.251631975173950... |
TASK DEFINITION: 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.
PROBLEM: 「すぐさま、大通りの歩道に沿って立っていたり、座ったりしている兵士の一団が見えました」
SOLUTION: "Kaagad-agad, nakikita ko ang isang grupo ng mga sundalo, ilan ay... | Nanawagan ang ETA ng tigil putukan noong Marso 2006, pero lalong nabigo dahil sa kakulangan ng pagkakaloob ng gobyerno ng mga kakalabasan ng mga pag-uusap tungkol sa kapayapaan, at nagpasabog ng napakalaking bomba sa pook na paradahan sa paliparan ng Madrid noong ika-30 ng Disyembre, na pumatay ng dalawang tao.
| 8 | NIv2 | task1118_alt_ja_fil_translation | fs_opt | [
0.5433497428894043,
-0.1946626752614975,
-0.4864186644554138,
-0.35366198420524597,
-0.009686603210866451,
-0.22191932797431946,
0.7718753814697266,
0.677997350692749,
0.2211986780166626,
-0.3724309802055359,
-0.8697844743728638,
0.08115658164024353,
-0.6840927600860596,
0.6623846292495728... |
Detailed Instructions: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plau... | b | 9 | NIv2 | task213_rocstories_correct_ending_classification | zs_opt | [
-0.18152859807014465,
0.07545661926269531,
0.3265935182571411,
-0.1534436047077179,
0.1856943517923355,
0.10999004542827606,
0.31401312351226807,
1.1323394775390625,
0.05474410578608513,
0.6710549592971802,
-0.645755410194397,
-0.2349998503923416,
0.09917229413986206,
-0.1395699828863144,
... |
You will be given a definition of a task first, then some input of the task.
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... | Lawyer | 1 | NIv2 | task342_winomt_classification_profession_pro | zs_opt | [
-1.3506543636322021,
0.7597451210021973,
-0.2332313358783722,
-0.8633589744567871,
0.043535616248846054,
0.35342371463775635,
-0.06900382786989212,
0.7481802701950073,
0.9359461069107056,
-0.11132390797138214,
-1.1640605926513672,
0.17949193716049194,
-0.8732993602752686,
-0.22970835864543... |
Q: In this task, you need to Translate Czech text to English.
Řešení se týká impregnačních a izolačních hmot určených pro stavebnictví. Očelem vynálezu je nový způsob impregnace či izolace zamezující pronikání vody a vodných roztoků betonovými plochami. Uvedeného účelu se dosáhne postupným nanášením reaktivních k... | The solution concerns impregnation and insulation construction materials. The object of the invention is a new method of impregnation or insulation to prevent the penetration of water and water solutions with concrete surfaces. This purpose is achieved by sequential application reactive compositions of different ... | 7 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
-0.3786812126636505,
1.1499799489974976,
-0.022323772311210632,
-0.03821958974003792,
-0.16786761581897736,
-1.141037106513977,
0.08642858266830444,
0.5111956596374512,
0.6866096258163452,
0.03160475194454193,
-0.125259667634964,
0.9650149345397949,
-0.22747111320495605,
-0.538520216941833... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | No
| 0 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.6934782266616821,
-0.18020883202552795,
-0.10205601155757904,
0.16516108810901642,
-0.16198618710041046,
-1.6753110885620117,
1.2812492847442627,
0.6237650513648987,
-1.2503094673156738,
-0.2620834708213806,
-0.29781341552734375,
-0.11999096721410751,
-0.49246227741241455,
0.592459142208... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Un rapaz dun instituto de Texas escribiume en 2006 e dixo: "" Deberías conseguir que tanta xente como sexa posible poña polos azuis e pantalóns caqui, vaia a unha tenda Best Buy e pasee por alí "". (Risas) (Aplausos) A... | A high school kid in Texas wrote me in 2006 and said, "" You should get as many people as possible to put on blue polo shirts and khaki pants and go into a Best Buy and stand around. "" (Laughter) (Applause) So I wrote this high school kid back immediately, and I said, "" Yes, you are correct. | 7 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.2330838143825531,
0.501006007194519,
0.38533222675323486,
-0.6487288475036621,
-0.09650464355945587,
-1.0424004793167114,
-0.3104718327522278,
-0.07088086009025574,
-0.4723586440086365,
0.18340659141540527,
-0.016117505729198456,
-0.023673545569181442,
-0.3308213949203491,
-0.3171728253... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Input: Entón, para comezar, a Biblia di que un acompañante guiou a Goliat ata o val.
Output: | 聖書によればゴリアテは従者に手引きされていたとあります | 2 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.5444364547729492,
0.59404456615448,
-0.7414727210998535,
-0.3323376774787903,
-0.5163010358810425,
-0.7744159698486328,
0.21676748991012573,
0.36242932081222534,
0.07294017821550369,
-0.3178989887237549,
-0.2665072977542877,
-0.3878780007362366,
-0.5983177423477173,
0.49687087535858154,... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating ... | The road was filled with traffic.
****
| 4 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
-0.24234309792518616,
0.8315670490264893,
-0.3423745930194855,
-0.3066152334213257,
-0.39892905950546265,
-0.5753371119499207,
0.4720287024974823,
0.5032863616943359,
-0.4262663722038269,
-0.09229612350463867,
-0.414110392332077,
0.06911414116621017,
-0.27242904901504517,
-0.33071020245552... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | Output: blue_treasure_chest
| 2 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt | [
0.7119898200035095,
-0.394924521446228,
-0.46404367685317993,
-0.5123152732849121,
-0.16895143687725067,
-0.10512876510620117,
-0.053983528167009354,
0.7448508143424988,
0.03777630999684334,
0.18695296347141266,
-0.4973250925540924,
0.5634946823120117,
0.23061615228652954,
-0.1272593140602... |
Teacher: 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 ... | Yes | 6 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.048150233924388885,
-0.10986950993537903,
0.5130468010902405,
-0.14042386412620544,
0.0018922588787972927,
-0.9052824378013611,
0.7105357646942139,
0.9110769033432007,
-0.6802581548690796,
-0.48093122243881226,
-0.3828052282333374,
-0.4999869167804718,
-0.5037330389022827,
-0.13505326211... |
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as ... | c | 9 | NIv2 | task231_iirc_link_classification | fs_opt | [
0.377406507730484,
0.2625998258590698,
-0.8152772188186646,
-0.2309456765651703,
0.05389587581157684,
-0.2955779433250427,
1.0505907535552979,
0.9775732755661011,
-0.04409291595220566,
0.09842833131551743,
-0.15860578417778015,
0.41772955656051636,
-0.7198681831359863,
0.20763611793518066,... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
For all the classifiers, our feature combination outperforms the baselines (con... | F-score Kappa | 1 | NIv2 | task460_qasper_answer_generation | zs_opt | [
-0.5455837249755859,
0.45859697461128235,
0.3309706747531891,
-1.0542306900024414,
0.24179761111736298,
-0.0011789989657700062,
0.4280073046684265,
0.4139890670776367,
0.1838010847568512,
0.19268271327018738,
-0.39912930130958557,
0.22276416420936584,
-0.24027147889137268,
0.32870006561279... |
Detailed Instructions: Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Problem:Japanese: 調査者は、半自動式銃から出た10の薬莢が現場にあったと言っている。
Filipino: Sinabi ng preside... | No | 8 | NIv2 | task1120_alt_ja_fil_answer_generation | zs_opt | [
-0.29839107394218445,
-0.46777015924453735,
-0.04570730775594711,
0.49442243576049805,
0.14932170510292053,
-0.8623322248458862,
0.7932956218719482,
0.14582592248916626,
-0.1436639130115509,
-0.45675861835479736,
-0.6718956232070923,
0.6931164860725403,
-0.6313714981079102,
0.8787746429443... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
question:
Se tutto questo è vero, allora perché ci sbagliamo?
answer:
وإن كان كل هذا صحيحاً ، فلماذا نتعامل معه نحن بصورة خاطئة ؟
question:
E se oggi vi recate da quelle parti, vedrete che i guerriglieri curdi... | وفي كثير من أجزاء في العالم التي تشتمل على نساء واطفال الذين هم ضعفاء بالخصوص.
| 9 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
0.12648223340511322,
0.8761272430419922,
-0.5920895338058472,
-0.5532714128494263,
-0.3121776282787323,
-1.2653725147247314,
0.846133828163147,
0.26207804679870605,
0.4069826602935791,
-0.006992722395807505,
-0.9594335556030273,
0.2809574604034424,
-1.3353601694107056,
0.08509387820959091,... |
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordi... | False | 4 | NIv2 | task346_hybridqa_classification | zs_opt | [
0.2575974464416504,
-0.08220475912094116,
-0.32637056708335876,
0.28439927101135254,
-0.1542021930217743,
-0.904335618019104,
0.9781270027160645,
0.489254355430603,
-0.5551037192344666,
0.16729559004306793,
-0.652567446231842,
0.03164689615368843,
0.3553318381309509,
0.16412252187728882,
... |
Instructions: "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and... | Response 2 | 3 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
0.18606330454349518,
1.0546209812164307,
0.7466776967048645,
-0.49394670128822327,
0.11291591823101044,
-0.9105587005615234,
0.5084630250930786,
0.2514145076274872,
-0.4325930178165436,
-0.3509378135204315,
-0.6486135721206665,
0.11445165425539017,
-0.697895884513855,
0.11479711532592773,
... |
You will be given a definition of a task first, then some input of the task.
Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Context : Lluís-Anton Baulenas (Catalan pronunciation: (ʎuˈiz ənˈtɔ... | What city is Lluís-Anton Baulenas associated with? | 1 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
0.023037180304527283,
1.7509828805923462,
-0.3627398908138275,
-0.17176154255867004,
0.4663746953010559,
-0.3667179346084595,
0.2124277651309967,
0.0803394764661789,
0.5942884683609009,
-0.5447406768798828,
-0.5937485694885254,
1.387472152709961,
-1.1253321170806885,
-0.4476414918899536,
... |
Instructions: In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
Input: Diana's Hair Ego is an American documentary film about AIDS and one ... | Dianas Hair Ego is an American documentary film about AIDS and one unconventional womans efforts to educate her small, Southern community. | 3 | NIv2 | task192_hotpotqa_sentence_generation | zs_opt | [
-0.13340449333190918,
0.32786744832992554,
-0.25245755910873413,
0.09899507462978363,
-1.1828868389129639,
0.4967600107192993,
0.3401695489883423,
0.8691409826278687,
-0.7023817300796509,
0.5573443174362183,
-0.16181820631027222,
0.044118482619524,
-0.6843008995056152,
-0.38025206327438354... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Problem:Pasan todo el tiempo trabajando en ciertos problemas, pero hay otra cosa que persiste allí que están interesados, pero aún no lo resuelven.
Solution: | انهم يقضون كل هذا الوقت في العمل على بعض المشاكل ، ولكن هناك شيء آخر عالق هناك انهم مهتمون ، ولكنهم لا يستطيعون حلّها تماما. | 8 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
-0.3174813985824585,
0.7739201784133911,
-0.34154176712036133,
-0.5491784811019897,
-0.1254596710205078,
0.25880536437034607,
0.9829933643341064,
0.20729728043079376,
0.33292317390441895,
-0.08823968470096588,
-0.16816647350788116,
-0.737493097782135,
-0.24371974170207977,
0.33638840913772... |
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... | Menschen, die nicht überspringen viel haben inaktive Spieler.
****
| 4 | NIv2 | task416_mickey_de_sentence_perturbation_generation | fs_opt | [
-0.4722779095172882,
0.8475608825683594,
-0.14696314930915833,
-0.2321130931377411,
0.4492638111114502,
-0.5365285873413086,
0.8640365600585938,
0.9190034866333008,
-0.32796376943588257,
0.09185522794723511,
-0.6897759437561035,
0.398159921169281,
-1.2314801216125488,
0.3062729239463806,
... |
instruction:
In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
question:
Sentence: 'a black cat laying on top of a couch next to a tv remote control'. Reverse all words of length '6' in t... | the gnidnev cart has many segnaro arranged around it
| 9 | NIv2 | task378_reverse_words_of_given_length | fs_opt | [
-0.38372886180877686,
0.7450323104858398,
-0.44910523295402527,
-0.9021635055541992,
-0.2568948268890381,
-0.18991568684577942,
0.18364855647087097,
0.41443443298339844,
-0.12361348420381546,
-0.273287296295166,
-0.9752920866012573,
0.19120684266090393,
-0.697148323059082,
0.03745917975902... |
Q: Classify the given news commentary into the language in which it is written in. There are 12 languages to classify the sentences into, 1) English, 2) French, 3) Arabic, 4) Czech, 5) German, 6) Spanish, 7) Dutch, 8) Portuguese, 9) Italian, 10) Zhuang, 11) Japanese, 12) Russian.
Ein Klima der Angst macht allen das Leb... | German | 7 | NIv2 | task1370_newscomm_classification | zs_opt | [
0.10392780601978302,
0.053052909672260284,
0.6565247774124146,
0.056579139083623886,
0.19304633140563965,
-0.17679771780967712,
0.02293931506574154,
0.11017066985368729,
-0.13223080337047577,
0.09489850699901581,
0.013884438201785088,
0.1509864777326584,
-0.829421877861023,
-0.389681845903... |
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Example input: The first two were found unreliable and the p... | English | 3 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | fs_opt | [
-0.2786421775817871,
0.09955725073814392,
0.5060535669326782,
0.044264085590839386,
0.36260756850242615,
0.21240639686584473,
0.5909013748168945,
0.44810065627098083,
0.09619477391242981,
-0.7145417928695679,
-0.571418821811676,
-0.03115858882665634,
0.04711475968360901,
-0.215496927499771... |
Detailed Instructions: 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.
See one example below:
Problem: อิตาลีได้เอาชนะโปรตุเกสด้วยคะแนน31ต่อ5 ในกลุ่มc ของการแข่งขันรักบี้เวิลด์คัพปี2007 ที่สนามปาร์ก... | ドイツ当局は、新しい潜水艦の契約書は7月6日に署名されたと確認している。 | 4 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
-0.3297673463821411,
0.40911218523979187,
-0.9331934452056885,
0.3743867874145508,
-0.20137229561805725,
-0.7288241386413574,
0.4053214490413666,
0.4389221966266632,
0.07270995527505875,
-0.11315304785966873,
-0.6285478472709656,
0.9235364198684692,
-0.275804340839386,
1.093349575996399,
... |
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.
Example input: [1, 2, 3]
Example output: [0.167, 0.333, 0.500]
Example explanation: The output list sums to 1.0 an... | [ 0.403 0.037 0.438 0.226 -0.105] | 3 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.06762228906154633,
0.4205712676048279,
-0.9697346687316895,
-0.7471228837966919,
0.4851139783859253,
0.015707027167081833,
0.6133367419242859,
0.13962890207767487,
-0.16665413975715637,
-0.006487718783318996,
-0.7858832478523254,
0.3677600026130676,
-0.0652262419462204,
-0.3864175677299... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
حدود ۱۱ هزار نفر از سال ۱۹۷۳ کشته یا زخمی شده اند.
| Some 11,000 people have been killed or injured since 1973. | 5 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
-1.1039319038391113,
1.157874345779419,
0.2090204358100891,
-0.29330193996429443,
-0.6133124232292175,
-0.1654314398765564,
0.882456362247467,
0.5508939027786255,
0.4421541690826416,
0.1462448090314865,
-0.37443575263023376,
0.5616211295127869,
-0.328050434589386,
0.7076975107192993,
0.9... |
In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
[Q]: Firstly, these relate to the coherence of the policy' s application.
[A]: En primer lugar tengo una pregu... | El Programa de Iniciativa Comunitaria de cada uno de los estados miembros tiene que ajustarse a los reglamentos, que son iguales que el reglamento del Fondo Social Europeo, es decir, la iniciativa EQUAL se atiene al reglamento del Fondo Social Europeo.
| 5 | NIv2 | task530_europarl_en_es_translation | fs_opt | [
0.007667573168873787,
0.5401527881622314,
0.4774039685726166,
-0.8793859481811523,
-0.14329126477241516,
-1.0062565803527832,
1.0691449642181396,
0.9292103052139282,
-0.5011647939682007,
0.25363394618034363,
-0.23947814106941223,
0.1274230182170868,
-0.9727108478546143,
-0.1125089675188064... |
Given the task definition and input, reply with output. In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
XPXEICXIAMIPfKzaUguo, uIsXIAMIPfKzLAhABUQ
| XIAMIPfKz | 5 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | zs_opt | [
-0.5259616374969482,
0.9755364656448364,
-0.00903749093413353,
-0.30330890417099,
-0.30783629417419434,
-0.24588637053966522,
0.2243388295173645,
-0.8745712637901306,
-0.22810041904449463,
-0.514643669128418,
-0.5865461826324463,
-0.5405058264732361,
-0.04777975380420685,
0.207331836223602... |
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: 帰国すると、サファロフは英雄のように歓迎され、イルハム・アリエフ大統領の許しを得て、少佐に昇進し、8年間の未払い分の給与を受け取り、家を与えられた。
Thai: คดีถูกยื่นฟ... | Yes
****
| 4 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt | [
0.14747846126556396,
-0.6262940168380737,
0.3782234787940979,
0.0327162966132164,
0.7419278621673584,
-0.5779845714569092,
0.9095808267593384,
0.46611079573631287,
-0.8100122213363647,
0.03400038927793503,
-0.41908544301986694,
0.3300079107284546,
-1.1507513523101807,
0.15404534339904785,
... |
Detailed Instructions: A text is given in Marathi. Translate it from the Marathi language to the Panjabi language. The translation must not omit or add information to the original sentence.
Problem:ਮੈਨੂੰ ਦੱਸਿਆ ਗਿਆ ਹੈ ਕਿ ਅਲੱਗ ਅਲੱਗ ਵਿਗਿਆਨਕ ਸੰਸਥਾਨਾਂ ਨੇ Solar Power, Clean Energy, Water conservation Waste Management ਵਰਗੇ ਵਿ... | मला असे सांगण्यात आले आहे की विविध वैज्ञानिक संस्थांनी सौर ऊर्जा, स्वच्छ ऊर्जा, जल संवर्धन, कचरा व्यवस्थापन यासारख्या विषयांवर संशोधन आणि विकास प्रकल्प सुरू केले आहेत. | 8 | NIv2 | task1030_pib_translation_punjabi_marathi | zs_opt | [
0.008284068666398525,
0.9906057119369507,
-0.05017998069524765,
-0.6697597503662109,
-0.6294946074485779,
-1.162895679473877,
0.6992834806442261,
0.5838341116905212,
-0.07911685109138489,
-0.05969388782978058,
-0.1985587775707245,
-0.47961583733558655,
-0.764941930770874,
0.040660023689270... |
Teacher: In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Preheat oven to 325F and grease and flour a 10" tube pa... | Sprinkle the rest of the Parmesan on the pasta when serving. | 2 | NIv2 | task572_recipe_nlg_text_generation | fs_opt | [
0.8781618475914001,
0.3987036347389221,
-0.5654734373092651,
0.11752759665250778,
0.22715815901756287,
0.5265691876411438,
1.0709011554718018,
0.9117751717567444,
-0.3419979214668274,
-0.13693711161613464,
0.5797775387763977,
0.44625741243362427,
-0.209498792886734,
-0.043723151087760925,
... |
Q: Given an abstract, and a few options, indicate if any of the given options appropriately describe the given abstract. If any of them is a proper keyword, answer 'Yes', otherwise answer 'No'.
Abstract: We have induced a basophil hypersensitivity reaction in the upper tarsal conjunctiva of the guinea pig by methods th... | No | 7 | NIv2 | task623_ohsumed_yes_no_answer_generation | zs_opt | [
-0.5553215146064758,
0.26474934816360474,
0.0005018414813093841,
0.19208073616027832,
0.08086305856704712,
-0.29782718420028687,
-0.18334369361400604,
0.6254821419715881,
0.40404850244522095,
0.1503405123949051,
0.014188975095748901,
0.27320414781570435,
-0.28843003511428833,
0.05357411876... |
Translate the given Spanish text to English
Example Input: Such compositions find use in methods for controlling plant pests.
Example Output: Tales composiciones encuentran uso en métodos para controlar plagas de plantas.
Example Input: The invention also relates to a device comprising the above-mentioned material.
E... | TIENEN UNA PERFORACION EN SU ZONA CENTRAL POR DONDE ASOMAN LOS EXTREMOS DEL TUBO COLECTOR.
| 3 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
0.40870171785354614,
0.9143065214157104,
-0.8295694589614868,
0.604270875453949,
0.09004026651382446,
-1.3693228960037231,
-0.10865885019302368,
0.605366051197052,
-0.029702354222536087,
0.7197058796882629,
-0.5520355105400085,
0.38918524980545044,
-0.20939621329307556,
-0.3942058980464935... |
Teacher: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on ... | non-personal | 2 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.630319356918335,
0.06328876316547394,
0.277855783700943,
0.39619046449661255,
-0.4896082580089569,
-0.5660153031349182,
0.756321370601654,
0.45254015922546387,
-0.3583437502384186,
-0.04067461937665939,
-0.29155686497688293,
-0.157924085855484,
-0.10056288540363312,
-0.26874735951423645... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Estas eran todas las cosas que estaba mirando al tratar de entenderlo. | Wziąłem pod lupę wiele różnych spraw, gdy próbowałem to zrozumieć. | 0 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.3078764081001282,
1.0487457513809204,
-0.4728733003139496,
-0.5059318542480469,
-0.2615373134613037,
-0.36991259455680847,
0.934556782245636,
-0.03429694101214409,
0.7033534049987793,
-0.3370230197906494,
-0.2330993413925171,
-0.1974768042564392,
-0.4465736448764801,
0.4094747304916382,... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Example Input: So, it will have no impact...
Example Output: إذًا، لن يتتبّع أيّ تأثيرات؟
Example Input: Oh, that's Kali, man.
Example Output: هذه (كالي), يا رجل
Example Input: For me, that possibility is fairly r... | عن نفسي ، فإن هذا الاحتمال بعيدجدا!
| 3 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
0.12266744673252106,
0.7464886903762817,
-0.2287006676197052,
-1.0701724290847778,
-0.3696402311325073,
-0.9058755040168762,
1.6675214767456055,
0.7765616774559021,
0.8034512996673584,
-0.2944551706314087,
-0.5105355978012085,
0.45554211735725403,
-0.4409024715423584,
-0.34509533643722534,... |
You will be given a definition of a task first, then some input of the task.
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Scientists emphasize how critical the first _ years of life are in terms of brain development.
Output: | ten | 1 | NIv2 | task672_nummersense | zs_opt | [
0.4262237846851349,
1.0392783880233765,
0.10210567712783813,
-0.5518942475318909,
-0.20091775059700012,
-0.06849830597639084,
0.5779119729995728,
0.1019340455532074,
0.6375529170036316,
-0.5913121104240417,
-0.3362523913383484,
-0.28746992349624634,
-0.8948676586151123,
-0.1096699461340904... |
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
--------
... | can decorate tree
| 7 | NIv2 | task080_piqa_answer_generation | fs_opt | [
0.13133098185062408,
0.4413788318634033,
-0.38058674335479736,
0.6157176494598389,
-0.336131751537323,
-0.48677438497543335,
-1.2852187156677246,
0.38679155707359314,
-0.21384984254837036,
0.2749537229537964,
-0.8001209497451782,
0.22927749156951904,
-0.5115059614181519,
0.3182982802391052... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
[EX Q]: ['i... | 1, 3, 4, 6, 8, 11, 12, 14, 18, 21, 24, 25, 26, 31
| 6 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
0.11404994130134583,
0.008362325839698315,
-0.28971391916275024,
-0.4404248297214508,
0.11455637216567993,
-0.9031882882118225,
0.9390930533409119,
0.40630966424942017,
-0.4816487431526184,
0.30279111862182617,
-0.5049858093261719,
0.13177822530269623,
-0.39522236585617065,
0.3050893247127... |
Detailed Instructions: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that... | walk left thrice after run right thrice | 8 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.22451351583003998,
1.064088225364685,
-0.4696120023727417,
0.05374090000987053,
-0.2828504145145416,
0.4920728802680969,
0.05930256098508835,
0.54264235496521,
-0.5139892101287842,
-0.3702452778816223,
-0.8019160032272339,
-0.36259880661964417,
-0.628506064414978,
0.03468180447816849,
... |
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 passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Context: Chronic rhinosinu... | This study provides a method to determine successful adolescent weight loss for researchers and provides useful concrete information about successful weight loss for clinicians and others who work with adolescents. | 0 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.1314433217048645,
0.6936138272285461,
-0.3885905146598816,
-0.5723453760147095,
0.43819940090179443,
-0.204557865858078,
0.4020722806453705,
0.5826897621154785,
-0.3158409297466278,
-0.04346524924039841,
-0.19583982229232788,
0.014430264011025429,
-0.8838585615158081,
0.47566133737564087... |
You will be given a definition of a task first, then some input of the task.
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expand... | Christopher Hatton owns the country estate, Moderlaine. While Hattons son Barney has a romantic tryst with Dilys Helmar, Hatton loses his estate in a game of decide to Dilys father Nick. The Hattons are forced to move to a cottage in a nearby village. One day Barney sees some villagers attacking a young woman, whom he ... | 1 | NIv2 | task103_facts2story_long_text_generation | zs_opt | [
0.3509882986545563,
0.3931034803390503,
-0.20684979856014252,
0.24561354517936707,
-0.12790356576442719,
-0.9865711331367493,
0.1512782871723175,
0.174591526389122,
0.2525913715362549,
-0.059854865074157715,
-0.405562162399292,
0.08333456516265869,
-0.6538993120193481,
0.09672706574201584,... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Problem:Nie mogliśmy zdążyć, gdy ktoś naprawdę nas potrzebował.
Solution: | Non arrivavamo mai quando qualcuno aveva veramente bisogno di noi. | 8 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
0.6453095078468323,
1.5641309022903442,
0.4822831153869629,
-0.25481557846069336,
-0.994952917098999,
-1.2288516759872437,
0.6031736135482788,
0.20585432648658752,
-0.0806472897529602,
0.12823915481567383,
-0.2681429386138916,
0.23709699511528015,
-0.8877111673355103,
0.40015971660614014,
... |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
Problem:தீன்பந்து சர் சோட்டு ராம் அவர்களின் உருவச் சிலையை பிரதமர் திறந்து வைக்கவுள்ளார்.
Solution: | সেখানে তিনি দীনবন্ধু স্যর ছোটুরামের মূর্তির আবরণ উন্মোচন করবেন। | 8 | NIv2 | task982_pib_translation_tamil_bengali | zs_opt | [
0.7850764989852905,
0.6325031518936157,
0.22343042492866516,
0.8069591522216797,
0.0031149559654295444,
-0.9855207800865173,
0.6323108673095703,
0.3414500951766968,
-0.01764378324151039,
-0.11076201498508453,
-0.017346395179629326,
0.47849997878074646,
-0.36548173427581787,
0.0434445627033... |
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 confuse the subject of the... | A band is playing live. | 9 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
0.014474920928478241,
0.7640752792358398,
0.4899466037750244,
-0.3488352298736572,
0.45773640275001526,
-0.9263205528259277,
-0.2979223132133484,
0.5515908598899841,
0.2971996068954468,
-0.36343175172805786,
-1.1438727378845215,
-0.7232215404510498,
-0.9604852199554443,
-0.6513462662696838... |
Definition: In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research... | finding | 2 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.1666628122329712,
0.9023099541664124,
-0.11283117532730103,
0.020611366257071495,
-0.31321465969085693,
0.3951296806335449,
0.4410066604614258,
0.4046601355075836,
0.5154202580451965,
-0.24229484796524048,
-1.9680263996124268,
0.0001132376492023468,
0.3643321394920349,
0.090570643544197... |
Given the task definition and input, reply with output. In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
2, ['I', 'T', 'r', '1811', 'P', '2221', '7703', 'U', '5877', 'i', '6795', 'q', 'd', 'i', '519', '3183', '3957'... | I, r, P, 7703, 5877, 6795, d, 519, 3957, c, h | 5 | NIv2 | task1542_every_ith_element_from_starting | zs_opt | [
-0.3027287423610687,
0.7771106958389282,
-0.179082453250885,
-0.2877334952354431,
-0.41423532366752625,
-0.3574944734573364,
-0.04631086438894272,
-0.37543192505836487,
-0.023394305258989334,
-0.3815182149410248,
-0.7128756046295166,
-0.29548871517181396,
-0.1014930009841919,
0.26210427284... |
Teacher:In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information... | 3 | 6 | NIv2 | task1541_agnews_classification | zs_opt | [
-1.1430182456970215,
0.7921923398971558,
-0.3399503231048584,
0.09046083688735962,
0.15361127257347107,
-0.14587190747261047,
-0.5064677000045776,
0.5904505252838135,
-0.32840922474861145,
-0.0006743359845131636,
-0.010987923480570316,
0.1581966131925583,
-0.2204495221376419,
-0.0262313541... |
Teacher: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 t... | Yes | 6 | NIv2 | task1207_atomic_classification_atlocation | zs_opt | [
0.10057197511196136,
-0.021166514605283737,
0.10695666074752808,
-0.42251473665237427,
-0.4552687108516693,
-0.7974019050598145,
0.971776008605957,
0.3326061964035034,
-0.6716198921203613,
-0.4031974673271179,
-0.14483921229839325,
-0.5385079979896545,
-0.7202358245849609,
0.18247815966606... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, wi... | A baseball player in a uniform has just released the baseball on the sidelines. | 1 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | zs_opt | [
-0.017628133296966553,
0.3073226809501648,
-0.36711564660072327,
0.237688809633255,
0.4376649856567383,
-0.12129697948694229,
-0.026882946491241455,
0.8174664378166199,
0.596023678779602,
-0.3416573405265808,
-1.248256802558899,
-0.33902421593666077,
0.09148955345153809,
-0.487985402345657... |
Teacher:In this task, you are to Translate German text to English
Teacher: Now, understand the problem? Solve this instance: Das Umlenk- und Klemmelement weist eine konkave Außenfläche auf.
Student: | The deflecting and coupling element has a concave outer surface. | 6 | NIv2 | task841_para_pdt_de_en_translation | zs_opt | [
-0.07942825555801392,
1.2130217552185059,
-0.2856815755367279,
-1.0804566144943237,
-0.2800752520561218,
0.19637836515903473,
-0.5367506742477417,
0.5162615180015564,
-0.0007136438507586718,
-0.23898866772651672,
-0.38535913825035095,
0.20060274004936218,
0.12504737079143524,
0.27519297599... |
Teacher:A text is given in English. Translate it from the English language to the Telugu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: పౌర మరియు వాణిజ్య విషయాల్లో భారత్, మొరాకో మధ్య చట్టపరమైన పరస్పర సహకార ఒప్పందాన్ని ఆమోది... | Cabinet approves Agreement between India and Morocco on Mutual Legal Assistance in Civil and Commercial Matters | 6 | NIv2 | task1048_pib_translation_telugu_english | zs_opt | [
-0.025461725890636444,
-0.030862145125865936,
1.2157785892486572,
-0.4379483163356781,
0.5610901117324829,
-1.0274534225463867,
0.158511221408844,
-0.2303289771080017,
-0.47769683599472046,
-0.3764447569847107,
0.46551424264907837,
-0.8795449137687683,
-0.26307475566864014,
-0.109897501766... |
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.
Input: Consider Input: @davidarchie when will you ever come to Minnesota, love?
Output: positive
Input: Consider Input: missed the Jack's Mannequin show ... | Output: positive
| 2 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.2375316619873047,
-0.1498073935508728,
0.5487189888954163,
0.5269449949264526,
0.2307286262512207,
-0.6694386005401611,
-0.14977380633354187,
0.6240988969802856,
0.29747679829597473,
1.2654824256896973,
-0.74647456407547,
-0.7751668691635132,
-0.04085593670606613,
-0.7939459085464478,
... |
Teacher: In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Teacher: Now, understand the problem? If you are still confused, see the fo... | Yes | 2 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.12097110599279404,
-0.5053187012672424,
0.46043860912323,
0.14032284915447235,
0.10796248912811279,
-0.3208615183830261,
-0.05154063552618027,
0.18482773005962372,
-0.5293583869934082,
-0.45611143112182617,
0.3776010572910309,
0.5753329396247864,
-0.03262888640165329,
0.1730135232210159... |
Teacher: 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).
Teacher: Now, understand the problem? If you are still confused, see... | :"As we continued to walk down the sidewalk, three women came out of their shop, one wearing a yellow king shirt, and they thanked us for the gesture." | 2 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
0.17261040210723877,
0.8215913772583008,
-0.4602361023426056,
0.25327786803245544,
-0.08848406374454498,
-0.8740377426147461,
-0.4216432571411133,
0.4979788661003113,
0.09538175165653229,
-0.14616627991199493,
-0.4335930347442627,
0.49532049894332886,
0.17791970074176788,
0.200492382049560... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
See one example below:
Problem: Ora, lungo il percorso, George segnala che la sua tecnologia, la tecnologia della biologia sintetica, sta accelerando molto più velocemente del tasso previsto dalla L... | Cinco meses após essa eleição, o "" mayor "" recém-eleito, nomeou-me a primeira comissária dos Assuntos de Imigrantes para esse gabinete recém-criado. | 4 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
-0.12235479056835175,
0.5766618847846985,
0.2136993706226349,
-0.0508364737033844,
0.07086516916751862,
-0.23464544117450714,
-1.0216258764266968,
1.2526763677597046,
-0.2710797190666199,
0.5388463735580444,
-0.5499848127365112,
0.027938593178987503,
0.07141304016113281,
0.1555190980434417... |
Detailed Instructions: In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
See one example below:
Problem: Sox - 4 is important for very early B - cell differentiation , while TCF - 1 / LEF - 1... | G protein | 4 | NIv2 | task1481_gene_extraction_bc2gm_dataset | fs_opt | [
-0.15033073723316193,
0.5939247608184814,
-0.4621484577655792,
-0.5018003582954407,
0.47026658058166504,
-0.6803246736526489,
-0.03132900595664978,
0.6816927194595337,
0.168197900056839,
-0.3898446261882782,
-0.347397118806839,
-0.06508535146713257,
-0.7704535126686096,
-0.3260844647884369... |
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 inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, an... | d, 309, 1965 | 0 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
0.993688702583313,
0.29412347078323364,
-0.9332596063613892,
-0.10869833827018738,
-0.19547098875045776,
0.043111272156238556,
0.33246010541915894,
0.36565643548965454,
-0.880150318145752,
-0.11056012660264969,
-0.5243780016899109,
-0.3306412100791931,
-0.024177899584174156,
0.086287654936... |
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Output: Se si desidera girare un contratto allora si dovrebbe trovare una penna.
| 2 | NIv2 | task408_mickey_it_sentence_perturbation_generation | fs_opt | [
-0.1260109841823578,
0.6595187187194824,
-0.32811957597732544,
0.01577621139585972,
0.09635937213897705,
-0.8545798063278198,
-0.08000530302524567,
1.181269645690918,
-0.2942628860473633,
-0.16938693821430206,
-0.4480403661727905,
0.16186580061912537,
-0.4077884256839752,
0.082394912838935... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to u... | My dad is tired >Causes/Enables> I don't play with my dad | 6 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
0.12928557395935059,
0.5941474437713623,
-0.6792586445808411,
-0.3124433159828186,
-0.3895924687385559,
-0.4156935513019562,
0.26799410581588745,
1.3162965774536133,
-0.5908957719802856,
-0.09305369853973389,
-0.5052545070648193,
0.32272103428840637,
-0.6497912406921387,
-0.361059904098510... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Q: Czyli propagować demokrację w trudnych miejscach, gdzie wszystkie inne metody już zawiodły.
A: | هذا هو ، ترويج الديموقراطية في أماكن صعبة حيث أي شئ آخر تم تجريبه وفشل. | 9 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.4764106571674347,
0.33327367901802063,
0.6003945469856262,
-1.0171473026275635,
-0.36896559596061707,
0.15682296454906464,
0.9670984148979187,
-0.08775153756141663,
-0.006293283775448799,
0.08476895093917847,
-0.4874173402786255,
-0.012592798098921776,
-0.5346536636352539,
0.59088718891... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | Solution: look around left and jump left twice | 5 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.3744472861289978,
0.4611132740974426,
-0.40999048948287964,
0.03264029324054718,
0.00014950986951589584,
0.3242528736591339,
0.06499705463647842,
0.8992168307304382,
-0.40337008237838745,
-0.16119426488876343,
-0.7212748527526855,
-0.6195873022079468,
-0.7968510389328003,
-0.124452814459... |
Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Y a medida que empecemos a integrar esta información vamos a saber mejor qué hacer con ella y cómo extraer mayor información de nuestras patologías, salud y bienest... | E há medida que começamos a integrar esta informação, vamos saber melhor o que fazer com ela e como podemos ter um melhor conhecimento das nossas patologias, saúde e bem-estar. | 5 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
-0.32041439414024353,
1.0799651145935059,
-0.053812529891729355,
-0.20192456245422363,
-0.23415303230285645,
-0.31845444440841675,
-0.6964595317840576,
0.8641465902328491,
0.6149265170097351,
0.06369823217391968,
-0.4938655495643616,
0.12523305416107178,
-0.4068410098552704,
0.117151185870... |
Detailed Instructions: You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will as... | arithmetic | 4 | NIv2 | task834_mathdataset_classification | fs_opt | [
0.09747176617383957,
0.325190007686615,
-0.44027209281921387,
-0.4924548864364624,
-0.17301979660987854,
0.21761992573738098,
0.7994709014892578,
0.8622464537620544,
0.29059821367263794,
-0.5500295162200928,
-0.8150455951690674,
-0.2763007581233978,
-0.3489936590194702,
0.09259741753339767... |
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | L'effetto di essere pagati è che hai soldi da spedire. | 0 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
0.29031941294670105,
0.9099293947219849,
-0.3388757109642029,
-0.10293726623058319,
-0.7667359709739685,
-0.7461626529693604,
1.0271539688110352,
1.3795201778411865,
0.14133842289447784,
-0.5488787293434143,
-0.706889271736145,
-0.0019535741303116083,
-0.9650585651397705,
0.488745063543319... |
You will be given a definition of a task first, then some input of the task.
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense pl... | You are likely to witness a slut in a gay bar . | 1 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
-0.3740624189376831,
0.7500507831573486,
0.43856218457221985,
0.10545749962329865,
0.2208719253540039,
-0.3086356520652771,
0.1636527180671692,
0.8441548347473145,
0.05161741375923157,
-0.17826800048351288,
-1.3310508728027344,
-0.48590320348739624,
-0.48520761728286743,
-0.291362613439559... |
Teacher: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sintética, está atualmen... | Dobbiamo buttare fuori dalle nostre vite tutto ciò che ci è estraneo e imparare a scremare ciò che ne entra a far parte. | 2 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.41078031063079834,
0.769777774810791,
0.32184696197509766,
-0.5139366388320923,
0.04159604758024216,
-1.0123330354690552,
-0.8088912963867188,
1.3885865211486816,
-0.5262370109558105,
0.11974689364433289,
-0.6411055326461792,
0.12914413213729858,
-0.5002120733261108,
-0.3082464933395386... |
Q: Given a sentence in the Sinhala language, translate it into the English language.
Tap නැර්තන සඳහා භාවිත කරන Tap සපත්තු Tap සවි කළ හැකි ඕනෑම විලාසිතාවකින් සාදනු ලබයි.
A: | Tap shoes, which are used in tap dancing, may be made from any style of shoe to which taps can be attached. | 7 | NIv2 | task601_flores_translation_sntoen | zs_opt | [
0.8153990507125854,
0.27710220217704773,
-0.015708185732364655,
0.9848967790603638,
-0.3954145610332489,
-1.2412304878234863,
-0.3486235737800598,
0.7497860789299011,
0.352855384349823,
0.24284425377845764,
0.4272477626800537,
1.379311203956604,
-0.058486565947532654,
0.22972339391708374,
... |
Given the task definition and input, reply with output. Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
ブカレストのカウパレードは、ルーマニアの市場コンサルティング会社であるイベントホライズンによって企画されている。
| งาน Bucharest CowParade จัดโดย Event Horizon ผู้ให้คำปรึกษาทางด้านการตลาดของโรมาเนีย | 5 | NIv2 | task1127_alt_ja_th_translation | zs_opt | [
-0.09430871903896332,
-0.15748421847820282,
0.17396686971187592,
-0.21142594516277313,
-0.07124068588018417,
0.13051491975784302,
0.5042638778686523,
0.28230828046798706,
0.4585873782634735,
0.22919625043869019,
-0.4352119266986847,
1.047829508781433,
-0.3171605169773102,
0.420027285814285... |
Detailed Instructions: Given an object and a part, decide whether the object has that part. For example if you are asked 'gun has barrel?', you need to decide if a gun has a barrel as one of its components or parts, indicating 1 or 0 as your answer respectively. All sentences strictly follow the template 'object has pa... | 1 | 8 | NIv2 | task1583_bless_meronym_classification | zs_opt | [
-0.07425786554813385,
0.349486380815506,
-0.4331069588661194,
0.37679165601730347,
-0.2832042872905731,
-0.8498809337615967,
1.5637812614440918,
0.394907146692276,
0.27250880002975464,
-0.4037715792655945,
-0.7020219564437866,
0.2105982005596161,
-0.2282523512840271,
0.16066980361938477,
... |
Given the task definition and input, reply with output. In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is... | [12, -18, 3, -2, -12] | 5 | NIv2 | task096_conala_list_index_subtraction | zs_opt | [
0.4527569115161896,
0.5058168172836304,
-0.22132562100887299,
-0.12841349840164185,
0.29348793625831604,
-0.10527176409959793,
1.1814258098602295,
-0.04677000641822815,
0.2227635383605957,
-0.22424320876598358,
-0.5301639437675476,
-0.41091251373291016,
-0.5960256457328796,
0.0865487307310... |
We would like you to assess the QUALITY of each of the following argument (discussing Gay Marriage) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the topic of gay marriage. A... | Solution: Invalid | 5 | NIv2 | task148_afs_argument_quality_gay_marriage | fs_opt | [
0.02156393602490425,
0.607701301574707,
0.7003449201583862,
-0.18449322879314423,
-0.04444871470332146,
-1.5615239143371582,
0.39317741990089417,
0.5532616376876831,
0.2832157015800476,
0.18060243129730225,
-0.38851994276046753,
-0.2662498950958252,
-0.4528127908706665,
-0.3538545668125152... |
Part 1. Definition
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Part 2. Example
Argument: It is more humane to help the pers... | True | 7 | NIv2 | task1285_kpa_keypoint_matching | fs_opt | [
0.46675604581832886,
0.6240003705024719,
-0.04538234323263168,
-0.26430824398994446,
-0.15180012583732605,
-0.714610755443573,
0.8349450826644897,
0.4427148699760437,
0.38417935371398926,
0.2640550136566162,
-0.08949735760688782,
-0.09066736698150635,
0.007651126012206078,
0.16734592616558... |
In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that are commo... | No
| 5 | NIv2 | task245_check_presence_in_set_intersection | fs_opt | [
0.31300437450408936,
-0.06125187128782272,
-0.469456285238266,
0.4290896952152252,
-0.09374880790710449,
-0.5134022831916809,
0.5709202885627747,
0.765074610710144,
-0.3912045955657959,
-0.04507909715175629,
-0.5267395973205566,
-0.0794789046049118,
0.4335431158542633,
-0.40711158514022827... |
In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Let me give you an example: Context: Joanne McLeod is a Canadian figure skating coach. She is the... | island records | 8 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.426663875579834,
0.7252799272537231,
-0.6831265687942505,
-0.25373953580856323,
0.3652941584587097,
0.259929895401001,
0.7038244009017944,
0.8091093897819519,
-0.4204917550086975,
0.055267371237277985,
-0.08362855017185211,
0.5947479009628296,
-0.6653826832771301,
0.5437871217727661,
0... |
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