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 |
|---|---|---|---|---|---|---|
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.
One example: Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern C... | Who directed the film The Extremely Tragic Story of Celal Tan and His Family? | 6 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
0.3324810266494751,
0.2169649302959442,
-0.14280934631824493,
0.055244721472263336,
0.6182206273078918,
0.1218516156077385,
0.7696591019630432,
0.7076692581176758,
-0.3680112361907959,
0.24932700395584106,
0.4625593423843384,
0.9179522395133972,
-1.6678906679153442,
-0.2712574303150177,
... |
You will be given a definition of a task first, then some input of the task.
In this task, your goal is to judge a correct answer to a given question based on an associated paragraph and decide if it is a good correct answer or not. A good correct answer is one that correctly and completely answers the question. A bad ... | Yes. | 1 | NIv2 | task056_multirc_classify_correct_answer | zs_opt | [
-0.038998156785964966,
0.7270872592926025,
-0.5971063375473022,
-0.2582820653915405,
0.012559376657009125,
0.03637125343084335,
0.8342589139938354,
0.8278099298477173,
0.6743630170822144,
0.12806160748004913,
-0.5754216909408569,
1.0503718852996826,
-0.9736507534980774,
0.2259226143360138,... |
instruction:
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the ... | ac
| 9 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
0.12772536277770996,
-0.05233209580183029,
-0.3758893609046936,
0.26737961173057556,
-0.252724289894104,
-0.8971100449562073,
-0.11991852521896362,
0.8090046644210815,
-0.15452006459236145,
0.20589007437229156,
-0.5358911752700806,
0.45203205943107605,
0.05795571208000183,
-0.2239744216203... |
Detailed Instructions: 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: My 2 year old daughter is a huge fan of the TV show and loves her ... | Good Review | 9 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.6993058919906616,
0.2671346068382263,
-0.4959139823913574,
0.17093703150749207,
0.07258427143096924,
-1.3430382013320923,
0.5455718040466309,
0.8093993663787842,
0.34460386633872986,
0.1908586025238037,
-0.197604238986969,
0.4991975426673889,
-0.8061173558235168,
0.029575541615486145,
... |
Teacher:You are given a sentence from a conversation between a human and a virtual assistant. Your task is to identify whether the sentence is a question or not. Answer with Yes or No.
Teacher: Now, understand the problem? Solve this instance: Thats right. Is it affordable? Do they serve liquor?
Student: | Yes | 6 | NIv2 | task879_schema_guided_dstc8_classification | zs_opt | [
-0.33670833706855774,
0.8800244331359863,
0.5288957953453064,
-0.2250758707523346,
-0.41170692443847656,
0.07254283875226974,
0.9438573122024536,
0.8735911846160889,
1.0080835819244385,
0.3982272446155548,
0.7146250605583191,
-0.5611637830734253,
-0.462409645318985,
0.03873851150274277,
... |
Detailed Instructions: 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.
Problem:Context : Jaidip Mukerjea (born 21 April 1942, in Kolkata) is a retired professional tennis player from India.
An... | What city is Jaidip Mukerjea associated with? | 8 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
-0.2744983434677124,
0.2624569535255432,
-0.8703991174697876,
-0.40393441915512085,
0.820033609867096,
-1.2758675813674927,
0.35636812448501587,
-0.20063042640686035,
0.05515625700354576,
-0.537571907043457,
-0.006755396723747253,
0.6444733142852783,
-1.772094964981079,
-0.0967216789722442... |
Definition: 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 ask you to fi... | arithmetic | 2 | NIv2 | task834_mathdataset_classification | zs_opt | [
-0.06101704388856888,
0.4179939329624176,
0.1314334124326706,
-0.009869076311588287,
-0.216444730758667,
0.034919872879981995,
0.5988510847091675,
0.1922255903482437,
0.4678109288215637,
-0.5015775561332703,
-0.8902437686920166,
0.12465577572584152,
-0.41875970363616943,
0.0945684388279914... |
In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
One example: Sentence: The ca... | Female | 6 | NIv2 | task341_winomt_classification_gender_anti | fs_opt | [
-1.0842468738555908,
0.6141563653945923,
0.036919496953487396,
-1.0425983667373657,
0.5250493884086609,
-0.2515794634819031,
-0.1046924814581871,
0.7540382146835327,
0.892169713973999,
0.1368720829486847,
-1.3170905113220215,
-0.24145139753818512,
-0.9983903169631958,
-0.5395379066467285,
... |
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 Italian. Your job is to translate the Italian sentence into Galician.
Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Solution: Isto inclúe un sistema... | E ben sei que non é doado. | 0 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.28531700372695923,
1.1011874675750732,
-0.23930518329143524,
-0.06990723311901093,
-0.32801806926727295,
-0.5630422234535217,
1.1349459886550903,
0.630239725112915,
-1.095264196395874,
-0.2919584810733795,
-0.11204403638839722,
-0.20203551650047302,
-0.5722403526306152,
0.50412315130233... |
In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
[EX Q]: Question: A 70-year-old woman with a history of hypertension and moderate heart failure att... | biology
| 6 | NIv2 | task1434_head_qa_classification | fs_opt | [
-0.13493464887142181,
0.10540685057640076,
-0.3573734760284424,
-0.07270056009292603,
0.6454761624336243,
-0.9996784925460815,
0.8386585712432861,
0.8218134045600891,
-0.258675754070282,
0.18740499019622803,
-0.5563607215881348,
0.04863768070936203,
0.10064008086919785,
-0.0808235555887222... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Dove ci ha portato tutto ciò? | خب ، اینگونه مصرف ما را به کجا کشانده ؟ | 0 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
-0.16378729045391083,
0.7656246423721313,
-0.5288645029067993,
-0.5334724187850952,
-0.5848814249038696,
-0.04480646923184395,
-0.1613032966852188,
0.203241765499115,
0.4601500928401947,
-0.14873318374156952,
-0.7036097049713135,
0.6324077844619751,
-0.539336085319519,
0.24988828599452972,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Example input: życiu stawić czoła Granicę przekrocz "" Będziesz wolna "", już ktoś tam woła. Kobiety nadziei Kobiety zmian Kobiety wojny i bólu Czuję waszą siłę tak ona powiedziała Jeśli czujesz się bezsilna, pomóż komuś Jeśl... | חששתי שמא אני מפחדת ממחויבות, או שאני מפוזרת, או שאני פוגעת בעצמי, מפחדת מההצלחה שלי. | 3 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.5209508538246155,
0.5399484038352966,
-0.40490055084228516,
-0.1532619744539261,
-0.27968889474868774,
-1.163345456123352,
1.5046517848968506,
0.3693585693836212,
0.6192480325698853,
-0.3313426375389099,
-0.9799160957336426,
0.7545419335365295,
-1.3146693706512451,
0.04329594969749451,
... |
In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a d... | stairs lead up to tower .
| 3 | NIv2 | task102_commongen_sentence_generation | fs_opt | [
-0.10984264314174652,
0.13472703099250793,
-0.5875931978225708,
0.274128794670105,
-0.13640709221363068,
-0.5606446266174316,
0.3849182724952698,
0.2607799768447876,
0.03661096468567848,
0.08451273292303085,
-0.3102118670940399,
0.04542155936360359,
0.16044534742832184,
-0.1044536605477333... |
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.
Ex Input:
Ang dalawang mga kandidato na ibinoto kamakailan bilang mga miyembro ng pamunuan ng paaralan na nagsama sa intelligent design sa kuriku... | 開発者のマーカス・ブリンクマンは歴史的な一歩を築き、開始プロセスコードを完成させ、Hurd-L4上で初めてソフトウェアを実行させることができた。
| 1 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
-0.3493506908416748,
0.015925666317343712,
0.12533748149871826,
0.2758232355117798,
-0.17335855960845947,
-0.9125047922134399,
0.31839942932128906,
0.9724196195602417,
-0.29915058612823486,
-0.4572925567626953,
-0.6398111581802368,
0.578324556350708,
-0.3473731279373169,
-0.036264304071664... |
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Is AUTHOR wrong in the post ? POST : A little bit of information about me: I'm a lesbian 15y/o liv... | yes
| 0 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
0.7478936910629272,
-0.11796211451292038,
-0.017535848543047905,
-0.22000831365585327,
0.3792281150817871,
-0.210486501455307,
0.5650036931037903,
1.0750882625579834,
0.05165352672338486,
-0.3151707053184509,
0.19664908945560455,
0.20214316248893738,
-0.6555561423301697,
0.0058489358052611... |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justificati... | Vertically polarized analog television
| 1 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.5138161182403564,
0.4102545380592346,
-0.19445650279521942,
0.050002437084913254,
0.3313973546028137,
-0.2262847125530243,
0.9325405955314636,
0.6762725710868835,
0.637842059135437,
0.6018832921981812,
-0.6086663603782654,
0.9569674730300903,
-0.6856122612953186,
-0.06232641637325287,
... |
Given the task definition, example input & output, solve the new input case.
In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be... | 玩忽职守 | 1 | NIv2 | task1667_cail2018_answer_generation | fs_opt | [
0.7073525190353394,
0.4245592951774597,
-0.7387142777442932,
0.20027559995651245,
0.2059735804796219,
-0.32533523440361023,
-0.018468208611011505,
1.2854028940200806,
-0.2895887494087219,
0.4588441848754883,
-0.7012909650802612,
0.2703703045845032,
0.6693187355995178,
0.02655290812253952,
... |
You are given a statement written in Malayalam. 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 .
Example: Statement: ഈസ്റ്റേൺ കാറ്റിൽ ഈഗ്രറ്റ് (B. i. coromandus) - 1783 - ൽ പീറ്റർ ബൊഡേർട്ട് ആണ് ആദ്യമായി വിവരണം... | Solution: ഭർതൃഹരിക്കുശേഷമുള്ള | 5 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.5720503926277161,
0.3864209055900574,
-0.3287353217601776,
-0.24941863119602203,
-0.2113531529903412,
-0.9203000068664551,
0.778505802154541,
0.5174906253814697,
-0.28439924120903015,
-0.1574731469154358,
-0.2399439960718155,
0.25928938388824463,
0.0348239429295063,
-0.27891695499420166,... |
Q: In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the clo... | Business | 7 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.47178325057029724,
0.004859886597841978,
-0.22145789861679077,
0.5647581815719604,
0.09052504599094391,
-0.4018453359603882,
-0.20013278722763062,
-0.14003139734268188,
0.06447964906692505,
-0.20229876041412354,
-0.7541712522506714,
-0.012783089652657509,
-0.05520090460777283,
-0.116664... |
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Example input: Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an Amer... | What is the former name of the theme park designed and built by Michael Bonfante and managed today by a public company based in Sandusky, Ohio? | 3 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.745692789554596,
0.427900493144989,
-0.881017804145813,
1.039865255355835,
0.5206602811813354,
-0.11661181598901749,
0.6148329973220825,
0.5391418933868408,
-0.020160004496574402,
0.36546868085861206,
-0.11550359427928925,
0.5607262253761292,
-1.0400713682174683,
-0.05674928426742554,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
¿Qué funciona mejor para mejorar el cumplimiento de los tratamientos médicos mediante intervención psico... | What works best to improve compliance with medical treatments through psychological intervention? | 1 | NIv2 | task1433_head_qa_language_translation_es_to_en | zs_opt | [
-0.4409998059272766,
0.10818766802549362,
0.42454206943511963,
-0.6412214040756226,
0.09099684655666351,
-0.6301729679107666,
1.018481731414795,
0.33248400688171387,
0.6911882162094116,
-0.00023174681700766087,
-0.4201000928878784,
-0.03607996925711632,
-0.2420809417963028,
0.3100542724132... |
Detailed Instructions: In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Q: Sentence 1: Olivia got a new cat. Sentence 2: She found it on the side of ... | b | 9 | NIv2 | task220_rocstories_title_classification | zs_opt | [
-0.11872627586126328,
0.021494060754776,
-0.18232735991477966,
0.018978416919708252,
-0.021089594811201096,
-0.16210249066352844,
0.08225522935390472,
0.6170074343681335,
0.26189905405044556,
0.2329772412776947,
-0.624535858631134,
-0.15066766738891602,
-0.0365922637283802,
-0.298797100782... |
In this task, a passage will be given and the goal is to generate a question about temporal relations based on that passage. A temporal relation describes the relation between two things with respect to time e.g., something happens/starts/terminates/... immediately/shortly/usually/... before/after/during/... something ... | What event has already finished?
| 6 | NIv2 | task389_torque_generate_temporal_question | fs_opt | [
0.5705777406692505,
0.5299776792526245,
-0.5106889009475708,
-0.0039332564920187,
-0.3183749318122864,
0.3348187804222107,
1.0224665403366089,
0.5780860185623169,
0.39078834652900696,
0.199050635099411,
-0.5148754715919495,
0.4802394211292267,
-1.097062587738037,
0.3869866728782654,
0.50... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
One example is below.
Q: מה מייחד את המוח האנושי?
A: 人の脳の何がそんなに特別なのでしょうか ？
Rationale: The Hebrew sentence is correctly translated into Japanese. They both refer to the human brain.
Q: יש אנשים שרואים כאן כלב דלמטי.
A: | ダルメシアンが見える人はいますか | 9 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.5784440040588379,
0.2821415066719055,
0.26773104071617126,
-0.26600295305252075,
-0.8327208757400513,
-0.2659768760204315,
0.8727408647537231,
-0.6742456555366516,
1.281278371810913,
-1.1542819738388062,
-1.0407040119171143,
0.524275004863739,
-0.8474988341331482,
1.0273752212524414,
... |
Detailed Instructions: Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Problem:Which is no make that what is considered a potential disadvantage for wealth for some Americans?
Solution: | What is considered as a potential disadvantage for wealth for some Americans? | 8 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.5071084499359131,
1.3075019121170044,
0.37889358401298523,
-0.7002018690109253,
-0.48674169182777405,
0.30669906735420227,
1.0393835306167603,
1.5091941356658936,
0.6775768399238586,
0.03545544669032097,
-0.0672127902507782,
-0.8284369111061096,
-0.9979472160339355,
-0.7368248701095581,... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in German, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Das Contempo Magazine ist ein monatlich erscheinendes amerikanisches Magazin ... | Contempo Magazineは、テキサス州マッカレンで発行されているアメリカの月刊誌です。 | 1 | NIv2 | task806_pawsx_german_japanese_translation | zs_opt | [
0.009306473657488823,
-0.3316255211830139,
0.20891538262367249,
-0.06535438448190689,
0.41714686155319214,
0.7453931570053101,
-0.07965566217899323,
-0.22383379936218262,
0.3507128059864044,
-0.12170575559139252,
0.09703851491212845,
-0.18794992566108704,
-0.8157682418823242,
-0.0097230002... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Ex Input:
Joseph likes to prepare ahead of time and Craig does not which is why _ is rarely ready for meetings. (A) Joseph (B) Craig
Ex Output:
B
Ex I... | A
| 1 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
-0.11808143556118011,
0.523084819316864,
-0.2507927715778351,
-0.8730822801589966,
-0.12519420683383942,
-0.711687445640564,
0.6729248762130737,
0.41337335109710693,
0.06113023683428764,
0.1491890549659729,
0.7712647318840027,
0.2811780571937561,
-0.17367058992385864,
-0.6851556301116943,
... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
What did Beyonce call her album that was not inspired by Jay Z or Prince?, Context: The feminism and female empowerment themes on Beyoncé's second solo album B'Day were inspired by her role in Drea... | B'Day | 0 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
-0.3982190787792206,
1.3016982078552246,
-0.13216625154018402,
-0.05766129121184349,
-0.1553475260734558,
0.21161946654319763,
0.10331500321626663,
0.09223810583353043,
-0.22494088113307953,
0.6983127593994141,
-0.11873991042375565,
0.521135151386261,
0.28944340348243713,
-0.85206520557403... |
Detailed Instructions: 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 mer... | yes | 9 | NIv2 | task472_haspart_classification | zs_opt | [
-0.33807069063186646,
0.2659817337989807,
0.6768261790275574,
0.009138016030192375,
-0.1954897791147232,
-1.0418057441711426,
0.13169947266578674,
0.6738406419754028,
1.16063392162323,
-0.5528454780578613,
-0.24133655428886414,
-0.17000150680541992,
-0.1876407265663147,
0.2129075825214386,... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
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.
Example solution: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować pon... | Solution: Po trzecie, powiedział szefowi, Geoffowi Tudhope 'owi, że ma się odczepić, bo wiedział, jak bardzo władza jest w stanie rozpraszać. | 5 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.3248201310634613,
0.9456052780151367,
0.3826218843460083,
-0.21037650108337402,
-0.4698296785354614,
0.13264204561710358,
1.44483482837677,
-0.19487756490707397,
0.09502211958169937,
-0.7087382674217224,
-1.0697453022003174,
1.040933609008789,
-0.5984424948692322,
0.3299816846847534,
... |
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 need to count the number of nouns/verbs in the given sentence.
Sentence: 'A small toy kept on tray held by a man'. Count the number of nouns in this sentence.
Solution: 3
Why? The ... | 3 | 0 | NIv2 | task155_count_nouns_verbs | fs_opt | [
0.4669416546821594,
0.5907505750656128,
-0.036589883267879486,
-0.32287052273750305,
-0.06075965613126755,
0.041406113654375076,
0.40580305457115173,
0.8851203918457031,
-0.17868484556674957,
0.09244892746210098,
-0.5514939427375793,
-0.14601802825927734,
-0.2458915412425995,
0.25810748338... |
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, y... | Bad
| 6 | NIv2 | task673_google_wellformed_query_classification | fs_opt | [
-0.8398902416229248,
0.10255175828933716,
-0.7024998664855957,
0.028439678251743317,
-0.46697521209716797,
-0.5033692121505737,
0.3803121745586395,
-0.026704465970396996,
-0.007731091231107712,
0.03776184469461441,
-0.14194896817207336,
0.07797730714082718,
-1.1214723587036133,
-0.15840533... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
One example: Pero comenzamos con la idea de un niño por vez.
Solution is here: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Explanation: The Spanish sentence is correctly translated into Hebrew, because the meaning is pre... | אם אני הולכת להשתמש במילה "" יום רביעי "" במשפט, ואני מגיע למילה, ואני יכולה להרגיש שאני עומד לגמגם או משהו, אני יכולה לשנות את המילה ל "" מחר, "" או "" היום שאחרי שלישי. "" או משהו אחר. | 6 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.7747418880462646,
0.23388084769248962,
0.1433887481689453,
-0.507277250289917,
-0.40164077281951904,
-0.2347433716058731,
1.3023104667663574,
0.4898131787776947,
0.40755608677864075,
-0.2274211049079895,
-0.306607723236084,
0.1569511592388153,
-1.0030293464660645,
0.0997311919927597,
... |
Teacher:In this task, you will be given a food review in Persian. You have to Classify the sentiment of the reviewer toward the food into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); h... | very negative | 6 | NIv2 | task527_parsinlu_food_overal_classification | zs_opt | [
-0.9035451412200928,
-0.35646072030067444,
0.21957379579544067,
-0.24347195029258728,
0.039929334074258804,
-0.06478848308324814,
1.111772060394287,
0.4546038508415222,
0.2492694854736328,
-0.14614108204841614,
-0.22348694503307343,
0.26014840602874756,
-0.5136979818344116,
0.4101094007492... |
Part 1. Definition
Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
Part... | cause | 7 | NIv2 | task1629_copa_hr_classification | fs_opt | [
-1.0503860712051392,
0.33862119913101196,
-0.46453142166137695,
0.10129853338003159,
-0.6586360931396484,
-0.3683410584926605,
0.4825645983219147,
-0.095703125,
0.13395366072654724,
-0.3454875946044922,
-0.17252130806446075,
0.47868528962135315,
-0.7209572792053223,
0.00821906328201294,
... |
instruction:
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
question:
vRCXTKtom, cQXTKobT
answer:
c, k, m, o, r, t, v, x
question:
uvytCQxlbo, hOPytCQxldUBvlr
answer:
b, c, d... | d, g, i, k, m, n, o, q, r, s, t, u, z
| 9 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
0.16404925286769867,
1.4234570264816284,
-0.1125260517001152,
-0.4524953365325928,
0.012953514233231544,
0.1295306235551834,
0.5442098379135132,
-0.09559845924377441,
0.24745731055736542,
-0.49899882078170776,
-0.5528439283370972,
-0.5063201189041138,
-0.02552139014005661,
0.14960910379886... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choi... | ab
| 0 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
0.11844561994075775,
0.6485658884048462,
0.050626568496227264,
0.5190401077270508,
0.021112682297825813,
-0.15444272756576538,
0.6916320323944092,
1.3264448642730713,
-0.16843563318252563,
0.2963414192199707,
-0.21792404353618622,
0.25831103324890137,
0.0152161605656147,
-0.533965468406677... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Problem:Muito bem, então tínhamos 5000 palavras-passe, e então tínhamos informação muito mais detalhada.
Solution: | Muy bien, así que ahora teníamos 5000 contraseñas, e información mucho más detallada. | 8 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.007352001965045929,
0.7338739037513733,
-0.6107028722763062,
0.3012126088142395,
-0.14679642021656036,
-0.5565698146820068,
0.15704452991485596,
0.8430875539779663,
0.5685059428215027,
0.2418440878391266,
-0.7109085321426392,
-0.35259106755256653,
-0.37334999442100525,
0.460780203342437... |
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous nam... | Modern: B-MISC, Times: I-MISC
****
| 4 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt | [
-0.484954297542572,
0.5656128525733948,
0.044825367629528046,
0.10443525016307831,
-0.5434266924858093,
0.09596925973892212,
1.352883219718933,
-0.3342073857784271,
0.17410892248153687,
-0.2679165005683899,
-0.9704865217208862,
0.4200209379196167,
-0.37259677052497864,
0.24414312839508057,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Galician.
(Laughter) When I started professionally guiding people out into this environment, Solly was my tracker.
Output: | (Risas) Cando comecei a guiar xente de forma profesional por este entorno, Solly era quen me seguía. | 1 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-1.464073657989502,
0.4716718792915344,
-0.6461447477340698,
-0.8314952850341797,
-0.27159780263900757,
-1.0301527976989746,
-0.6040137410163879,
0.19335860013961792,
0.35355427861213684,
-0.5028772354125977,
-0.16525515913963318,
0.1802164912223816,
0.3492030203342438,
0.04227025806903839... |
Detailed Instructions: 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 agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduc... | Two people walk outdoors. | 9 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-1.0741777420043945,
0.44333958625793457,
-0.553349494934082,
-0.021571217104792595,
-0.41874516010284424,
-0.4726218283176422,
0.026962539181113243,
0.4880915880203247,
0.2261681705713272,
-0.4460059404373169,
-0.8974844217300415,
-0.39391496777534485,
-0.07109665125608444,
-0.09603869915... |
Given the task definition and input, reply with output. In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
*schnarch* . beim lesen dieses hoc... | NEG | 5 | NIv2 | task479_cls_german_books_classification | zs_opt | [
-0.6873273849487305,
0.09351875633001328,
0.3438214361667633,
-0.27827054262161255,
0.5286263227462769,
0.5339515209197998,
0.7398985624313354,
0.1570691615343094,
0.5656015872955322,
0.6719473600387573,
-0.8273098468780518,
-0.25323376059532166,
-0.11994776129722595,
-0.07610924541950226,... |
Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
--------
Question: Pulau tersebut perlu bersiap atas terjadinya tsunami lagi, dengan gempa bumi bawah laut yang diprediksi akan ... | JTAはパレスチナ家族が立ち退かされた直後にユダヤ人家族が家々に移ったと報告する。
| 7 | NIv2 | task1116_alt_id_ja_translation | fs_opt | [
-0.11754908412694931,
0.92277991771698,
-0.21671009063720703,
-0.16050469875335693,
0.03656378015875816,
-0.7713998556137085,
0.959875226020813,
0.2142106592655182,
-0.2921698987483978,
-0.5658363699913025,
-0.5532941818237305,
1.177459478378296,
-1.2724919319152832,
0.2104474902153015,
... |
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... | 583 | 9 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.3797083795070648,
0.40191400051116943,
-0.43423882126808167,
-0.8446944952011108,
0.05903104692697525,
-0.4995634853839874,
0.34017422795295715,
-0.289531409740448,
-0.022851258516311646,
-0.008911310695111752,
-1.007722020149231,
-0.09550929069519043,
0.1807677298784256,
-0.01482175663... |
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Q: Text: had a lovely day with my girlfriend and her friends, we drove down the south coast... | TIFU by falling asleep on the beach | 4 | NIv2 | task510_reddit_tifu_title_summarization | zs_opt | [
-0.8032494783401489,
0.6351550817489624,
0.14575830101966858,
-1.2559940814971924,
-0.17316481471061707,
-0.44093725085258484,
0.5594545006752014,
0.25181588530540466,
-0.12842321395874023,
0.1066819578409195,
-0.18373622000217438,
-0.4139440357685089,
-0.8377373814582825,
0.18591105937957... |
Part 1. Definition
In this task, you are given music product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Part 2. Example
Fast schon teuflisch gut . Gleich mal eins vorne weg: di... | POS | 7 | NIv2 | task481_cls_german_music_classification | fs_opt | [
0.41988685727119446,
0.13283739984035492,
-0.9372433423995972,
0.8036027550697327,
0.39991945028305054,
-0.6252647638320923,
1.14833402633667,
0.47850340604782104,
0.2067680060863495,
0.6253336071968079,
-0.29749393463134766,
0.2214348465204239,
-0.19186152517795563,
-0.13961070775985718,
... |
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example input: English: Details were given by the UK Transport Secretary, Ruth Kelly, in ... | Yes | 3 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.18634609878063202,
0.46021366119384766,
0.5571351647377014,
0.2062082290649414,
0.2258678823709488,
-0.9807897210121155,
-0.2369672656059265,
0.3300241231918335,
-0.6932002305984497,
-0.41675543785095215,
0.5062957406044006,
0.5832751989364624,
-0.4614461064338684,
0.48536717891693115,
... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (co... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_... | 8 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.4907568097114563,
-0.08047987520694733,
-0.0141989104449749,
-0.42693692445755005,
0.1391059160232544,
-0.3386085629463196,
0.18100598454475403,
0.9437928795814514,
-0.541463315486908,
0.24060571193695068,
0.08476852625608444,
-0.2459353804588318,
-0.35781222581863403,
0.0409824624657630... |
You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous.
... | anger | 8 | NIv2 | task1663_cedr_ru_incorrect_classification | fs_opt | [
-0.9563896656036377,
0.0683738961815834,
0.30194395780563354,
-0.4223165810108185,
-0.6888301372528076,
-0.4186214804649353,
0.25339072942733765,
0.6229712963104248,
0.011880024336278439,
-0.2706075608730316,
-0.5694444179534912,
-0.19395796954631805,
-0.45949068665504456,
0.20993593335151... |
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not change any ... | Growing a garden was easy for PersonX but not PersonY because _ had a small backyard.
| 5 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
0.8858505487442017,
0.2568058669567108,
-0.34615665674209595,
0.1747812032699585,
0.21879130601882935,
-0.9916679859161377,
1.5342180728912354,
0.7830880880355835,
0.008647309616208076,
-0.5809823274612427,
-0.3549972474575043,
-0.024216242134571075,
-1.0879461765289307,
0.6344537734985352... |
Detailed Instructions: 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 _. Your answer should be chosen from the given text, and should not contain other words.
Q: Dyl... | tubes | 9 | NIv2 | task401_numeric_fused_head_reference | zs_opt | [
-0.14783991873264313,
0.01596415601670742,
-0.12024921178817749,
-0.40799441933631897,
-0.4242306351661682,
-0.5325382351875305,
0.7418763637542725,
0.534956693649292,
-0.34316369891166687,
0.1610184609889984,
-0.5747560262680054,
0.05282074958086014,
-0.754075825214386,
0.3007751703262329... |
You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the inp... | no i am looking for pictures of designer dog breeds | 4 | NIv2 | task1714_convai3_sentence_generation | zs_opt | [
-0.7716664671897888,
0.6321886777877808,
-0.1901475340127945,
0.03402235358953476,
-0.2887970209121704,
0.021246984601020813,
0.21789878606796265,
0.32989853620529175,
0.8557659983634949,
-0.23525989055633545,
-0.38552847504615784,
0.08873511850833893,
-0.34857526421546936,
0.2397388070821... |
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Example Input: Two suspected migrants have been brought ashore at Dover after coastal p... | Diplodocus v blue whale: How they stack up in numbers
| 3 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.35611748695373535,
0.6054340600967407,
0.02003609389066696,
-0.24128872156143188,
-0.22546030580997467,
-0.4785001277923584,
-0.1395898014307022,
0.22275471687316895,
-0.38428664207458496,
0.30858102440834045,
-0.39666542410850525,
0.48205310106277466,
-0.6073322296142578,
-0.0967349410... |
Given the task definition and input, reply with output. In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the sta... | True | 5 | NIv2 | task403_creak_commonsense_inference | zs_opt | [
-0.34634163975715637,
0.5297845005989075,
-0.4765876829624176,
0.05305894464254379,
-0.7255957126617432,
-1.2937513589859009,
0.201603502035141,
0.5827094316482544,
0.4845234751701355,
-0.13068079948425293,
-0.06439758092164993,
0.23351089656352997,
-0.5001291036605835,
0.05609166622161865... |
Detailed Instructions: Given a scientific question, generate a correct answer to it.
Problem:Geysers are created when what is heated beneath the earth's surface?
Solution: | water | 8 | NIv2 | task591_sciq_answer_generation | zs_opt | [
0.08472773432731628,
0.7493159770965576,
-0.862025797367096,
0.5904202461242676,
-0.18425369262695312,
-1.1200149059295654,
0.14259280264377594,
0.04210798442363739,
-0.4976167678833008,
-0.13910745084285736,
-0.6683630347251892,
-0.2892846465110779,
-0.9584661722183228,
0.0896283686161041... |
You will be given a definition of a task first, then some input of the task.
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... | add a tiny bit of milk, and let sit for ten minutes. | 1 | NIv2 | task080_piqa_answer_generation | zs_opt | [
-0.05871409922838211,
0.7910912036895752,
-0.2881236672401428,
0.233952596783638,
-0.6621015071868896,
-0.3555357754230499,
-0.2596936523914337,
0.053731102496385574,
-0.1840086579322815,
0.11899873614311218,
-0.5031883716583252,
-0.0007865880616009235,
-0.4065819978713989,
0.1695822179317... |
Instructions: This task is about translating a given English language sentence to French.
Input: I... didn't like it.
Output: | Je... n'ai pas apprécié ça. | 3 | NIv2 | task1689_qed_amara_translation | zs_opt | [
0.26374197006225586,
1.0045218467712402,
0.6669400334358215,
0.3659741282463074,
0.07458119094371796,
-0.3681129217147827,
-0.2361149787902832,
0.7446489930152893,
0.5597230195999146,
-0.011465402320027351,
-0.707669734954834,
-0.5836300849914551,
-0.5931564569473267,
-0.7760968804359436,
... |
You will be given a definition of a task first, then some input of the task.
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may... | Good | 1 | NIv2 | task673_google_wellformed_query_classification | zs_opt | [
-0.9693018794059753,
0.11813785135746002,
0.16306506097316742,
-0.3002434968948364,
-0.37458327412605286,
-0.7703659534454346,
0.18834230303764343,
0.1419430524110794,
0.2553563714027405,
0.3972778916358948,
-0.3642582893371582,
0.2240702509880066,
-0.637976884841919,
-0.24007226526737213,... |
Q: Given a sentence in French, generate a new French 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 ... | Le jeu est un autre mot pour les animaux sauvages chassés pour le plaisir ou le sport. | 7 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.575210452079773,
0.8484479188919067,
-0.6792005300521851,
-0.48846757411956787,
-0.2549067735671997,
-0.13977554440498352,
0.44656479358673096,
0.30062299966812134,
-0.06235310435295105,
-1.3083908557891846,
-1.0167258977890015,
-0.1438874453306198,
-1.0503809452056885,
-0.0404494553804... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Swedish 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)... | Mr President, we are basically in favour of the resolution that has been tabled, even if we think that this can only be interpreted as an invitation by Parliament to the Council to amend the Treaties, so that effective protection under criminal law of the Union' s financial interests can be guaranteed. | 1 | NIv2 | task312_europarl_sv_en_translation | zs_opt | [
0.03184451535344124,
0.8109360933303833,
0.41778475046157837,
-0.2347506582736969,
0.1420939862728119,
-0.7296607494354248,
1.2355217933654785,
0.2533118426799774,
0.6230929493904114,
0.2641804814338684,
0.21667467057704926,
0.45615649223327637,
-0.5216871500015259,
-0.1644911766052246,
... |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the questi... | The fawn was trying to munch on the grass after the rainstorm while standing in the mud, but left because the _ was too wet. | 0 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.66366046667099,
0.26255008578300476,
0.08170290291309357,
-0.25500038266181946,
0.5700122117996216,
-0.7156109809875488,
0.8245009779930115,
1.0643527507781982,
-0.7183294892311096,
-0.2659567594528198,
-0.6814756989479065,
0.23114383220672607,
-0.5901789665222168,
0.09300179779529572,
... |
Detailed Instructions: 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.
See one example below:
Problem: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining... | श्री पी.एन. ओक के तर्कों और प्रमाणों के अलावा और भी तथ्य छायाचित्रों के साथ प्रस्तुत है यहाँ पर | | 4 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
0.31151604652404785,
0.3323310613632202,
0.3222579061985016,
-0.29559171199798584,
-0.02189464122056961,
-0.7949185371398926,
0.17744781076908112,
0.44244879484176636,
0.16339707374572754,
-0.20059789717197418,
-0.799113392829895,
-0.40231186151504517,
-0.4285622239112854,
0.16562683880329... |
Given the task definition and input, reply with output. You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
هذه هي الغرفة التي كتب باخ فيها بعض موسيقاه. وهذا هو الأرغن.
| Esta es la sala para la cual Bach escribió algunos de sus piezas. Este es el órgano. | 5 | NIv2 | task1232_ted_translation_ar_es | zs_opt | [
-0.020725619047880173,
0.7380251288414001,
0.10897430777549744,
-0.07322774827480316,
-0.04938584193587303,
0.27458375692367554,
1.101688265800476,
0.1593610644340515,
0.7158104181289673,
-0.8242343664169312,
-1.0526174306869507,
0.131752148270607,
0.007789147552102804,
0.4330333471298218,... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
See one example below:
Problem: Grazas.
Solution: Gracias.
Explanation: The Galician sentence is correctly translated into Spanish, because the meaning is preserved.
Problem: E toquei o primeiro mo... | Y toqué el primer movimiento del concierto para violín de Beethoven. | 4 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-0.4117852449417114,
0.7192578315734863,
-0.49071744084358215,
-0.0005907524609938264,
0.26121196150779724,
-1.2514898777008057,
0.8835773468017578,
0.6919620037078857,
0.037781987339258194,
-0.10656094551086426,
-0.1746971309185028,
0.14751838147640228,
-0.322954922914505,
0.1469934433698... |
You are given a sentence and a question. You're expected to write the correct answer based on the sentence.
Q: Sentence: Mary's kitchen floor is slicker then her hallway floor. She was feeding her dogs one day and some kibble slid across both surfaces. Question: Which surface caused the kibble to heat up less?
A: kit... | Candace
****
| 4 | NIv2 | task1382_quarel_write_correct_answer | fs_opt | [
-0.4625962972640991,
0.8277342319488525,
-1.174103021621704,
-0.2319113314151764,
-0.34496188163757324,
-0.7303609848022461,
0.04361369088292122,
0.590651273727417,
0.09764345735311508,
0.0025406007189303637,
0.2111872136592865,
0.30181699991226196,
-0.5930600762367249,
0.11549553275108337... |
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: [91.623, -14.37, 64.773, 245.88, 60.601, -13.706, 231.179, -40.931]
Output: | [ 0.147 -0.023 0.104 0.393 0.097 -0.022 0.37 -0.065] | 2 | NIv2 | task093_conala_normalize_lists | zs_opt | [
-0.2272028774023056,
0.19764679670333862,
-1.0538119077682495,
-0.8217136859893799,
0.1276921182870865,
0.6984250545501709,
0.2653651535511017,
-0.37967509031295776,
-0.21442869305610657,
-0.004728944972157478,
-0.8461922407150269,
0.5784449577331543,
-0.25459155440330505,
-0.4697843194007... |
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversion" base... | Original
| 0 | NIv2 | task516_senteval_conjoints_inversion | fs_opt | [
0.045629583299160004,
0.4383653402328491,
0.7479648590087891,
0.3453754186630249,
0.03173507750034332,
0.0015295828925445676,
0.09738381206989288,
0.6276724338531494,
-0.30717921257019043,
0.02554439567029476,
-0.6939154863357544,
-0.5592023134231567,
-0.7924407720565796,
-0.37847003340721... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | strengthener
| 3 | NIv2 | task935_defeasible_nli_atomic_classification | fs_opt | [
0.5040865540504456,
-0.20263266563415527,
-0.7464751601219177,
0.11858037859201431,
0.3612458109855652,
-1.0604979991912842,
0.819754958152771,
1.2466528415679932,
-0.15166901051998138,
-0.6531558036804199,
-0.9694491624832153,
-0.15095537900924683,
-0.4856266379356384,
0.03719507157802582... |
Instructions: In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Input: ['J', 7947, 'X', 'E', 'Q', 'b', 'R', 'Z', '4779', 't', 'A', 2515, 's'], ['K', 'K', 'T', 487, 7023, 'm', 7475, 'E', 'Q', 'b', 'R', 'Z', '4779', 't', 'y', 7511, 1229, 'd']
Output: | E, Q, b, R, Z, 4779, t | 3 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.33759593963623047,
0.9306623339653015,
-0.584829568862915,
0.08398717641830444,
-0.2023378610610962,
-0.06717164069414139,
0.30383074283599854,
-0.6578719615936279,
-0.7025218605995178,
-0.04802235588431358,
-0.6701456904411316,
0.20500387251377106,
0.5445841550827026,
0.390991240739822... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
****
| 4 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.8465557098388672,
0.3479221761226654,
0.23242542147636414,
0.10097019374370575,
-0.25342288613319397,
-0.3714718818664551,
0.7529096007347107,
0.554124116897583,
-0.517675518989563,
-0.23820745944976807,
-0.5087664127349854,
-0.7955567240715027,
-0.21739566326141357,
-0.14642882347106934... |
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... | nBJc9167
****
| 4 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | fs_opt | [
-0.1986573040485382,
0.0014107943279668689,
-0.22657468914985657,
-0.4377209544181824,
-0.1061866283416748,
-0.40063613653182983,
0.13279595971107483,
0.10662277042865753,
-0.5128002166748047,
-0.32631391286849976,
-1.25093674659729,
-0.22514984011650085,
0.014429320581257343,
0.0846214219... |
TASK DEFINITION: A text is given in Oriya. Translate it from the Oriya language to the Panjabi language. The translation must not omit or add information to the original sentence.
PROBLEM: ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਕਿਹਾ, "ਜੌਰਜ ਸਾਹਬ ਨੇ ਭਾਰਤ ਦੀ ਬਿਹਤਰੀਨ ਪੋਲੀਟੀਕਲ ਲੀਡਰਸ਼ਿਪ ਦੀ ਨੁਮਾਇੰਦਗੀ ਕੀਤੀ ।
SOLUTION: ବିଦ୍ୟାଳୟ ସମୟରେ ପିଲାମାନଙ୍କ ପାଇଁ... | ସାଧାରଣ ଲୋକଙ୍କ ପାଇଁ ଆଧାରକୁ ଅଧିକ ଅନୁକୂଳ କରିବା ଲାଗି କେନ୍ଦ୍ର ସରକାର ଏକ ଗୁରୁତ୍ୱପୂର୍ଣ୍ଣ ପ୍ରୟାସ କରିଛନ୍ତି । ପ୍ରଧାନମନ୍ତ୍ରୀ ନରେନ୍ଦ୍ର ମୋଦୀଙ୍କ ଅଧ୍ୟକ୍ଷତାରେ ଅନୁଷ୍ଠିତ କେନ୍ଦ୍ର କ୍ୟାବିନେଟ ଆଜି "ଆଧାର ଏବଂ ଅନ୍ୟାନ୍ୟ ଆଇନ (ସଂଶୋଧନ) ବିଲ, 2019''କୁ ମଞ୍ଜୁର କରିଛନ୍ତି । ଏହା ଆଧାର ଏବଂ ଅନ୍ୟାନ୍ୟ ଆଇନ (ସଂଶୋଧନ) ଅଧ୍ୟାଦେଶ, 2019ର ସ୍ଥାନ ନେବ । ସଂଶୋଧିତ ପ୍ରସ୍ତାବଗୁଡ଼... | 8 | NIv2 | task1040_pib_translation_punjabi_oriya | fs_opt | [
-0.2544151544570923,
0.1229979544878006,
-0.17747920751571655,
-0.7145520448684692,
-0.09033136069774628,
-0.5550317764282227,
0.7179725170135498,
0.35220444202423096,
-0.21194615960121155,
0.2523120641708374,
-0.7391907572746277,
-0.6843504905700684,
-0.2775784432888031,
0.152414888143539... |
In this task, you need to replace a letter in the sentence with another given letter.
One example: Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
Solution is here: grnup nf mntnrcycle mntnrists trying tn merge intn traffic
Explanation: The letter... | a store with lots of tables fillep with propuce | 6 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.2724635601043701,
0.3757096529006958,
-0.48399078845977783,
-0.46605873107910156,
0.22350406646728516,
-0.2865504324436188,
0.1906014382839203,
0.3474218249320984,
0.4564146399497986,
-0.11835701763629913,
-0.6590457558631897,
-0.2406359314918518,
-0.3900747001171112,
-0.552614569664001... |
In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
Question: What does every star emit that humans cannot see? Answer: radiation
Radiation does every star emit that humans can... | Type 2 diabetes is also known as noninsulin-dependent or adult-onset diabetes.
| 0 | NIv2 | task1556_scitail_passage_generation | fs_opt | [
0.20741024613380432,
0.9256435632705688,
-0.12363869696855545,
-0.40137892961502075,
-0.11733056604862213,
0.0586761049926281,
0.1632644683122635,
0.34175217151641846,
0.6197909116744995,
-0.28246426582336426,
0.018965791910886765,
-0.20534983277320862,
-0.3494206666946411,
0.1334232389926... |
Teacher:Given a sentence in Chinese, generate a new Chinese 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... | 校对:Soup | 6 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.2941919267177582,
0.10853123664855957,
-0.05935952067375183,
-0.9757440090179443,
0.18184572458267212,
-0.44085219502449036,
0.2537000775337219,
1.0634560585021973,
0.007868291810154915,
-0.7071731686592102,
-0.4255973696708679,
0.042484965175390244,
0.16270524263381958,
0.0034870733506... |
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Example Input: Gujarati: બે શેફ રસોડામાં મોટા અરીસામાં તપાસ કરે છે.
English: A white t... | No
| 3 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt | [
-0.7530450224876404,
0.36280858516693115,
0.41184964776039124,
0.18041163682937622,
0.38711196184158325,
-0.7063190340995789,
0.03722168505191803,
0.20443041622638702,
-0.08876882493495941,
-0.153147354722023,
0.18276727199554443,
0.5866574645042419,
-0.622113823890686,
0.3255404829978943,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Q: La gente siempre se molesta cuando digo, "" Cortar "". Se preocupan por perder espacio en el anaquel.
A: | 「カットしてください」と言うといつも憤慨されます棚割りが減ることばかり | 4 | NIv2 | task1227_ted_translation_es_ja | zs_opt | [
-0.8238447904586792,
0.4003845751285553,
0.29351675510406494,
-0.5188643932342529,
-0.07884020358324051,
-0.26012343168258667,
0.5548375844955444,
0.6178860068321228,
-0.32909244298934937,
-0.3843013346195221,
-0.08954084664583206,
-0.21334965527057648,
-0.6592593789100647,
0.6598693132400... |
instruction:
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that ... | extinct.
| 9 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.1675785779953003,
0.13946855068206787,
-0.4130002558231354,
0.0893641859292984,
-0.23125167191028595,
-0.9232175350189209,
0.3002993166446686,
0.5881353616714478,
-0.8226690292358398,
0.09601404517889023,
-0.3700883984565735,
-0.06349263340234756,
-0.7980374097824097,
0.33714935183525085... |
TASK DEFINITION: Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.
PROBLEM: Question: Is hypothalamic damage associated with ... | yes
| 8 | NIv2 | task846_pubmedqa_classification | fs_opt | [
-0.301553338766098,
-0.1915191411972046,
-0.0037438576109707355,
0.10458424687385559,
0.2838006913661957,
-0.17269082367420197,
0.5625694394111633,
0.902518630027771,
0.7466486096382141,
-0.04725492373108864,
-0.6953122615814209,
0.29590344429016113,
-0.810571014881134,
0.2630344033241272,... |
Given the task definition and input, reply with output. You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Category: SWEET NOTHINGS
Clue: Since ... | sweet hearts | 5 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.8234427571296692,
1.1717612743377686,
0.6539595723152161,
0.14347685873508453,
0.16285112500190735,
-0.0038519108202308416,
0.41941988468170166,
0.1392410397529602,
-0.19783428311347961,
-0.16713380813598633,
-0.1467486321926117,
0.13020041584968567,
0.043447889387607574,
-0.07916307449... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Se equivocan porque es justo lo contrario. | You're wrong, because it's the opposite. | 0 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.34787753224372864,
0.8856720924377441,
0.15589919686317444,
-0.4453102946281433,
0.05715363472700119,
-0.3489620089530945,
0.21700088679790497,
0.3572453260421753,
0.7965718507766724,
-0.3132496774196625,
-0.4514823853969574,
-0.7921354174613953,
-0.4020540118217468,
-0.1514301896095276... |
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous nam... | None
| 3 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt | [
-0.5026816129684448,
0.45341038703918457,
0.26292142271995544,
-0.1529153734445572,
-0.4125669598579407,
-0.2192085087299347,
1.0962262153625488,
0.15352317690849304,
0.2495669424533844,
-0.464527428150177,
-0.4871182441711426,
0.269474595785141,
0.24645353853702545,
-0.19542410969734192,
... |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Example: English sentence: How is this possible
Example solution: Olee kwere omume?
Example explanation: The Igbo translation means the same as the original sentence in the English language.... | Solution: Jizọs gwara anyị, sị: “Ọ bụghị naanị achịcha ga-eme ka mmadụ dị ndụ, kama ọ bụ okwu niile nke na-esi n’ọnụ Jehova pụta.” (Matiu 4:4) Olee otú okwu niile si n’ọnụ Chineke, ya bụ, ihe Chineke kwuru na Baịbụl, ga-esi eme ka anyị na-enwe obi ụtọ, ndụ anyị enweekwa isi? Ka anyị leba anya n’atọ n’ime ha. | 5 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
0.3017807602882385,
1.0741252899169922,
0.18528707325458527,
-0.058752767741680145,
-0.15498119592666626,
-0.7581213712692261,
1.049226999282837,
0.1738172471523285,
-0.1709783524274826,
-0.1544436365365982,
-0.5359079837799072,
0.25116240978240967,
-0.6435568928718567,
-0.1412080228328704... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications ... | Output: count
| 2 | NIv2 | task212_logic2text_classification | fs_opt | [
0.1685657501220703,
-0.21624085307121277,
-0.3505639433860779,
0.21634019911289215,
0.38964781165122986,
-0.39846861362457275,
0.7570725679397583,
0.6479977369308472,
0.33844220638275146,
0.010084421373903751,
-0.11760660260915756,
0.054825056344270706,
-0.008463941514492035,
0.48745840787... |
Teacher: Given a sentence in the English language, translate it into the Nepali language.
Teacher: Now, understand the problem? Solve this instance: Text: Tax can be collected from the receiver who have received payments with tax being deducted when they were paid.
Student: | प्रापकले प्राप्त गरेको त्यस्तो रकमबाट अग्रिम करको रकम नछुट्टयाई भुक्तानी भएको रहेछ भने सो रकम प्रापकबाट असुल गरिने छ ।
| 6 | NIv2 | task1514_flores_translation_entone | zs_opt | [
-0.36078259348869324,
0.44884389638900757,
-0.09572230279445648,
0.02275671996176243,
-0.403536319732666,
-0.7472838759422302,
0.7436472773551941,
0.7700884342193604,
0.15821096301078796,
-0.05690035596489906,
0.45476770401000977,
0.050080008804798126,
-1.1751567125320435,
-0.0974871367216... |
Q: In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
The picture quality from these cameras is amazing for the price, especially the night vision w... | 5 | 7 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
-0.515902042388916,
-0.18753185868263245,
-0.2570596933364868,
-0.12802544236183167,
0.6706615686416626,
0.08951021730899811,
0.7779686450958252,
0.9824353456497192,
-0.19878387451171875,
0.4463277757167816,
-0.5909597873687744,
-0.013688200153410435,
-0.6732769012451172,
0.215328738093376... |
Detailed Instructions: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make t... | Funny | 8 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.026905186474323273,
0.37795671820640564,
0.40758705139160156,
-0.37791168689727783,
-0.41515570878982544,
-1.01988685131073,
-0.44388243556022644,
0.689495325088501,
0.43343693017959595,
-0.019726239144802094,
-0.39020246267318726,
-0.1520116925239563,
-0.4567130208015442,
0.148502096533... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Problem:Abbiamo letto quasi sei mesi del mio calendario.
Solution: | Le leí como unos 6 meses de mi calendario. | 8 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
0.3553166389465332,
1.2597613334655762,
0.06047545000910759,
-0.8149112462997437,
-0.5093019008636475,
-1.0481491088867188,
-0.06261105835437775,
0.44954314827919006,
0.347708523273468,
-0.9585458636283875,
0.087741419672966,
-0.10152380168437958,
-1.6412547826766968,
0.7225848436355591,
... |
Given the task definition and input, reply with output. In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of... | PART | 5 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.6321206092834473,
0.3545362949371338,
0.16800619661808014,
-0.014228204265236855,
0.08220474421977997,
-0.4131132662296295,
0.7061678767204285,
0.5996950268745422,
-0.3301847279071808,
-0.19576135277748108,
-0.3632560670375824,
0.04577742889523506,
-0.40081819891929626,
0.435615241527557... |
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
[Q]: Context: ... | C
| 5 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
-0.2683384418487549,
0.05354806408286095,
-0.05476133152842522,
0.05548917502164841,
-0.14326956868171692,
-0.24429424107074738,
0.562729001045227,
0.6002202033996582,
0.14051629602909088,
0.09842201322317123,
-0.48135578632354736,
0.4420880079269409,
-0.15682315826416016,
-0.0309555120766... |
instruction:
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
question:
Somali sentence: 13 Oo curad kasta oo dameer ah waa inaad ku madax furtaa wan yar; oo haddii aadan doonaynin inaad madax furto, de markaas waa inaad luqunta ka jebis... | 27 With the pure thou wilt shew thyself pure; and with the froward thou wilt shew thyself unsavoury.
| 9 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
0.22453263401985168,
0.455227792263031,
-0.19751112163066864,
-0.277923047542572,
-0.14090105891227722,
-0.8945239782333374,
0.8228314518928528,
0.7513992786407471,
-0.19788841903209686,
-0.15152373909950256,
0.05394427105784416,
0.7007179856300354,
-0.997148871421814,
-0.20774134993553162... |
Definition: 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.
Input: Beflügelt aufgrund des ... | German | 2 | NIv2 | task1370_newscomm_classification | zs_opt | [
-0.27060872316360474,
0.05193357914686203,
0.26524776220321655,
0.21413224935531616,
0.5937243103981018,
-0.2879224419593811,
-0.3092893958091736,
0.8481727838516235,
-0.15720407664775848,
-0.21420130133628845,
-0.4237174391746521,
-0.1522829532623291,
-0.6274726390838623,
-0.2698525786399... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential... | NN | 8 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
0.40872877836227417,
0.4506203830242157,
-0.4389090836048126,
0.7592071294784546,
-0.17571401596069336,
-0.6563826203346252,
0.6800497174263,
0.7066737413406372,
-1.0428283214569092,
0.03943898528814316,
-0.1283826231956482,
-0.06806226819753647,
-0.23514895141124725,
0.2577585279941559,
... |
Teacher: You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not incl... | 12, 13. | 2 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
-0.1569078266620636,
0.04176412895321846,
-0.30658936500549316,
-0.5158191919326782,
-0.111513152718544,
-0.08456669747829437,
0.6880185008049011,
0.8197345733642578,
-0.027102667838335037,
0.43405312299728394,
-0.7010066509246826,
0.6336923837661743,
-0.9972545504570007,
-0.00999932829290... |
Teacher:Generate a correct and concise answer for the question based on the words in the context.
Teacher: Now, understand the problem? Solve this instance: Context : Alfred Grünberg (18 February 1902 in Magdeburg -- 21 May 1942 in Berlin) was a worker, a member of the Communist Party of Germany (KPD) and a resistance ... | Magdeburg | 6 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
-0.2294396609067917,
0.7718349695205688,
-0.3008798062801361,
-0.06766527891159058,
-0.5917317867279053,
0.08416256308555603,
-0.07968398928642273,
-0.24065633118152618,
0.5286121964454651,
0.07477039098739624,
-0.6165118217468262,
-0.27387773990631104,
-1.2040553092956543,
0.3130707740783... |
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
[EX Q]: The unilateral decision by Belgium to re-establish border controls... | Herr talman!
| 6 | NIv2 | task313_europarl_en_sv_translation | fs_opt | [
0.061222486197948456,
0.8427321910858154,
0.13130968809127808,
-0.981010913848877,
0.14133328199386597,
-0.43152400851249695,
1.380379319190979,
0.9303920269012451,
0.3887803256511688,
0.6529929637908936,
-0.5844629406929016,
0.5967259407043457,
-0.3327549993991852,
-0.1880439668893814,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the seco... | 1 | 1 | NIv2 | task1344_glue_entailment_classification | zs_opt | [
-0.40487152338027954,
0.31164610385894775,
0.3124857544898987,
0.007104797754436731,
0.056661248207092285,
-0.260405957698822,
0.05709673464298248,
0.7112914323806763,
0.3371235430240631,
0.2872498035430908,
-0.4356176257133484,
-0.7858414649963379,
-0.20994767546653748,
-0.489815592765808... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
نه اون يک گل بود . در ايمان يک گل . | veronas summer hath not such a flower . | 0 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-0.5515958070755005,
1.0844764709472656,
-0.30662333965301514,
-0.25269797444343567,
-0.8024857640266418,
-0.9374731779098511,
0.5078173279762268,
0.5308555364608765,
0.6268581748008728,
-0.42095986008644104,
-0.29767856001853943,
0.5477175116539001,
-0.04382193088531494,
0.554058074951171... |
Given the task definition, example input & output, solve the new input case.
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels afte... | aggressive | 1 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.2706512212753296,
0.4223729968070984,
0.12975285947322845,
-0.10240627080202103,
0.07609890401363373,
-0.2336089313030243,
0.7309470772743225,
0.8586921691894531,
0.2459242194890976,
-0.2586868405342102,
0.015505032613873482,
-0.037462905049324036,
-0.34129929542541504,
0.10005226731300... |
You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct ... | A
****
| 4 | NIv2 | task228_arc_answer_generation_easy | fs_opt | [
-0.07011779397726059,
0.14029064774513245,
-0.32047680020332336,
-0.8202490210533142,
-0.03324032574892044,
-1.23024582862854,
0.31618446111679077,
0.4303632080554962,
-0.05283750593662262,
-0.25051531195640564,
-0.2724599242210388,
0.05466631054878235,
-0.2797268331050873,
-0.600397527217... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.