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 are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
"" Paul nunca vió que un fósil hiciera eso "".
Narrator: Paul has never seen a fossil do that.
Los estadounidenses han intentado muy frecuentemente de diseminar sus ideas sobre elegir, creyendo que éstas serán, o deben se... | But why are there so many orphans in Europe when there hasn't been a great deal of war or disaster in recent years?
| 0 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.5653510689735413,
0.7049960494041443,
0.037225931882858276,
0.8945351243019104,
-0.933911919593811,
-0.9352615475654602,
0.4149884581565857,
1.3733210563659668,
-0.071632981300354,
-0.07108160853385925,
0.9395697116851807,
0.2734745442867279,
-0.12026335299015045,
-0.2960357666015625,
... |
Q: Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Igbo sentence: Ka ọ dịgodị, Mercedes otu onyeisi Toto Wolff na-ekwu na e nweghị ihe ịrụ ụka na, ọ bụ ezie na Germany na-efu site 2015 kalenda, ọ ga-azụ ọzọ oge.
A: | Meanwhile, Mercedes team boss Toto Wolff says there is no doubt that, even though Germany is missing from the 2015 calendar, it will be back next season. | 7 | NIv2 | task449_opus_paracrawl_ig_en_translation | zs_opt | [
-1.1765966415405273,
-0.021595431491732597,
0.3582673668861389,
-0.3792075514793396,
0.20873790979385376,
-0.43988320231437683,
0.08027537167072296,
1.104663372039795,
0.9702290296554565,
-0.4920312166213989,
0.06437147408723831,
-0.12466748058795929,
-0.21334001421928406,
0.53173363208770... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
--------
Question: こちら側の皆さんは表・裏・裏を期待していました反対側は表・裏・表を期待していました
Answer: בצד הזה — אתם זוכרים, אתם מתלהבים מעץ-פלי-פלי, ואתם מתלהבים מעץ-פלי-עץ.
Question: 今度乗り物を検討される時は私たちのように新しいものを考えていただけたらと思います
Answer: לכן בפעם הבאה שאתם... | כלומר, ישנן נשים רבות שלא זוכות לצדק.
| 7 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.8781604766845703,
-0.16925963759422302,
-0.6204880475997925,
0.18752603232860565,
-0.7028802633285522,
-0.4401428699493408,
1.1362391710281372,
0.04793603718280792,
0.47843435406684875,
-0.7465643882751465,
-0.9659144282341003,
0.5930691957473755,
-0.6068013310432434,
0.8074320554733276... |
Given a scientific passage and an answer, generate a question for the given answer.
Example: Passage: A frameshift mutation is a deletion or insertion of one or more nucleotides that changes the reading frame of the base sequence. Deletions remove nucleotides, and insertions add nucleotides. Consider the following sequ... | Solution: Prescribed to treat allergies, antihistamines and corticosteroids help control what system that attacks allergens? | 5 | NIv2 | task594_sciq_question_generation | fs_opt | [
0.9305601119995117,
0.6730687618255615,
-0.31782740354537964,
0.29034653306007385,
-0.02277602255344391,
-1.1501550674438477,
0.578173041343689,
1.1246283054351807,
0.4836536645889282,
-0.23096880316734314,
-1.1116780042648315,
-0.07495370507240295,
-0.948399543762207,
-0.04700733721256256... |
instruction:
In this task, you need to write a topic word from the given fact. The topic word must have at least one word overlap with the given fact. The topic word often involves adding a new word from a related concept. In your topic word, use at least one word from the given fact. Topic words with two or more words... | Evolution.
| 9 | NIv2 | task036_qasc_topic_word_to_generate_related_fact | fs_opt | [
0.2535490393638611,
0.9275907278060913,
-0.37485331296920776,
0.04408209025859833,
-1.0604474544525146,
-0.9945542812347412,
0.1325705200433731,
0.6295614242553711,
-0.11230583488941193,
-0.8179581165313721,
-0.8239421844482422,
0.20730727910995483,
-0.5919687747955322,
0.04299577325582504... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT | 4 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.1484619379043579,
0.9804490804672241,
-0.1595078855752945,
-0.06026335060596466,
0.041976623237133026,
0.03577936440706253,
0.17332342267036438,
-0.07614679634571075,
-0.1035490483045578,
-0.24743181467056274,
-0.7938262224197388,
0.09421811997890472,
-0.6685477495193481,
-0.198423877358... |
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
The man decided to ... | Paper | 0 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
-0.48438501358032227,
0.9784073233604431,
0.23142093420028687,
-0.7182477116584778,
-0.1368514448404312,
-0.6365659236907959,
0.8540107011795044,
0.6675299406051636,
0.13717058300971985,
-0.39111563563346863,
0.04146706312894821,
0.2942692041397095,
-0.19508448243141174,
-0.213534116744995... |
Detailed Instructions: In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, ... | Non-hateful | 9 | NIv2 | task333_hateeval_classification_hate_en | zs_opt | [
-1.1263962984085083,
-0.06603258103132248,
1.0316052436828613,
1.0102087259292603,
-0.06080034002661705,
-1.4958194494247437,
0.7685728073120117,
1.0434669256210327,
0.15531644225120544,
0.7351847887039185,
0.06010272353887558,
-0.2471611648797989,
-0.428127259016037,
-0.02967214398086071,... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
JkbloNUq, nYblowj
Solution: ... | a, b, c, d, e, f, g, i, k, n, o, p, q, r, u, v, w, x, y, z | 2 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.5022592544555664,
1.046658992767334,
-0.574093222618103,
-0.8304431438446045,
0.05952797085046768,
-0.15988940000534058,
0.9874497056007385,
0.192376047372818,
-0.10651832073926926,
0.4843218922615051,
-0.07279203087091446,
-0.1388494223356247,
-0.08554080873727798,
-0.1583976149559021,... |
Q: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
É realmente extraordinário. Temos microconchas.
A: | widzimy coś niesamowitego. | 7 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.2539198696613312,
0.5902000665664673,
0.20267517864704132,
-0.049903661012649536,
-0.7900176048278809,
-0.3826857805252075,
0.6743202805519104,
-0.47509652376174927,
0.6283427476882935,
0.34406280517578125,
-0.9665420055389404,
0.6626681685447693,
-0.06370504200458527,
0.565820991992950... |
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 ... | jump right and run right thrice | 3 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.15243589878082275,
0.8939832448959351,
-0.30619552731513977,
-0.0955842062830925,
-0.18080876767635345,
0.44846194982528687,
0.0974540114402771,
0.7771430015563965,
-0.3926374316215515,
-0.35386979579925537,
-0.9739043712615967,
-0.305280864238739,
-0.7710599899291992,
-0.173137754201889... |
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: The music was good but there were some scratches and blemishes that did not matter becaus... | Good Review | 4 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.6341989636421204,
0.39954933524131775,
-0.462923139333725,
-0.026728857308626175,
0.32985109090805054,
-1.0013768672943115,
0.8805981874465942,
1.1367398500442505,
0.09160801768302917,
0.6027637124061584,
-0.05740739032626152,
0.1555558145046234,
-0.614210844039917,
-0.06746314465999603... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
وكان خلال فترة دراستي لنيل الدكتوراة
A: | E foi mentres facía o meu doutorado | 7 | NIv2 | task1105_ted_translation_ar_gl | zs_opt | [
-1.7580251693725586,
0.8007951974868774,
0.7251406908035278,
-1.0352884531021118,
-0.6079140305519104,
0.17050936818122864,
0.557823896408081,
0.30926716327667236,
0.47846031188964844,
-0.7808331847190857,
0.8275256752967834,
-0.37338942289352417,
-0.8360421061515808,
0.679557740688324,
... |
Q: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of ... | no | 7 | NIv2 | task211_logic2text_classification | zs_opt | [
-0.14576423168182373,
-0.21084284782409668,
-0.3010949492454529,
0.2875692546367645,
0.36490172147750854,
-0.5202351212501526,
0.15635934472084045,
0.5434966087341309,
0.28447234630584717,
-0.08201243728399277,
-0.3282701075077057,
0.31568947434425354,
-0.04493742436170578,
0.4443784356117... |
Teacher:In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be la... | Non-hateful | 6 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-1.0236575603485107,
0.3864583969116211,
0.4689255356788635,
0.31921783089637756,
-0.15239454805850983,
-0.29702526330947876,
0.5955994725227356,
1.4632797241210938,
0.243691086769104,
0.43586471676826477,
-0.0909377783536911,
0.322900652885437,
-0.6853408813476562,
-0.6225550174713135,
... |
Detailed Instructions: You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Problem:Sentence: xname is the best restaurant because it is a... | decor[bad], recommend[yes], location[Midtown] | 8 | NIv2 | task1597_nyc_slot_filling | zs_opt | [
-0.8143398761749268,
0.7127770185470581,
-0.5551425814628601,
-0.6897302865982056,
-1.0183677673339844,
0.5817036628723145,
0.02023596689105034,
-0.06931512802839279,
0.5421933531761169,
-0.127471923828125,
0.36641696095466614,
-0.22037529945373535,
-0.593621015548706,
0.05576585233211517,... |
You will be given a definition of a task first, then some input of the task.
You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in... | What is the full date that Kaliganj massacre crashed on? | 1 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | zs_opt | [
0.35310477018356323,
0.775052547454834,
-0.4026799201965332,
0.5981232523918152,
-0.39315366744995117,
-0.15577921271324158,
0.5739696025848389,
0.11144136637449265,
-0.5000555515289307,
-0.09314636141061783,
-0.4125813841819763,
-0.17537087202072144,
0.029396560043096542,
0.77468776702880... |
Given a comment, classify it into a 'hate' speech or 'not hate' speech. Answer using 'hate' or 'not hate'.
Example Input: Deport him in military aircraft and dump him back where he is originated from. Him and his family
Example Output: not hate
Example Input: Fuck this faggot. He's the disrespecting idiot brother in ... | not hate
| 3 | NIv2 | task1604_ethos_text_classification | fs_opt | [
0.08679208159446716,
0.9798450469970703,
0.019790219143033028,
0.4392104744911194,
-0.4772740602493286,
-1.117106556892395,
0.8795864582061768,
0.47599709033966064,
0.47260308265686035,
0.17338401079177856,
-0.0630444809794426,
0.6365407109260559,
-0.8340960741043091,
-0.5886216759681702,
... |
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
[Q]: Bob articulated a man a rule
[A]: Bob articulated a rule to a man
[Q]: John showed a... | Mary slung a bag to the woman from work
| 5 | NIv2 | task132_dais_text_modification | fs_opt | [
0.10474000871181488,
0.8636167049407959,
-0.14867562055587769,
-0.6377954483032227,
0.0769963338971138,
-1.219995379447937,
0.20345838367938995,
0.35583972930908203,
0.7047708630561829,
-0.37375608086586,
-0.3541063666343689,
0.5066220760345459,
-0.11932817101478577,
-0.1357947587966919,
... |
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
Ex Input:
発射は、既にその地域での雷雨により中止の危機に直面していた。
Ex Output:
ການປ່ອນຍານ ໄດ້ພົບກັບໄພຂົ່ມຂູ່ ການຮຸກຖູ ເນື່ອງຈາກພາຍຸຟ້າຝ່າໃນພື້ນທີ່.
Ex Input:
Clusty.comは英語のウィ... | ສາເຫດຂອງການຕາຍແມ່ນໄດ້ຖືກລາຍງານ ວ່າແມ່ນຍ້ອນການລະເບີດ ແຕ່ແຫຼ່ງຂ່າວແມ່ນບໍ່ຈະແຈ້ງ.
| 1 | NIv2 | task1124_alt_ja_lo_translation | fs_opt | [
-0.6152611374855042,
0.5592073798179626,
-0.20203948020935059,
-0.7030619978904724,
0.00820359867066145,
-0.8652974367141724,
0.6402961015701294,
0.7229548096656799,
-0.44485175609588623,
-0.6115128993988037,
-0.33886390924453735,
0.8616436123847961,
-0.679840624332428,
0.01480527035892009... |
In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Example Input: ACTION1: paying to get my part of the chores done ACTION2: wanting my best f... | no
| 3 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | fs_opt | [
-0.2147972583770752,
0.08124056458473206,
0.1329677850008011,
0.5990307331085205,
0.00833726767450571,
-0.602628231048584,
0.15061739087104797,
0.9277873039245605,
-0.09992692619562149,
0.3562147617340088,
0.01019524410367012,
-0.6235042214393616,
-0.681988000869751,
-0.7645496129989624,
... |
Q: The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to... | Predsjednik Hondurasa mi je rekao da trebamo učiniti ovaj projekt, da je to važno, i da bi to mogao biti put za napredak naše države. | 7 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.19396400451660156,
0.8146331310272217,
-0.018118243664503098,
0.1895192265510559,
0.08377820998430252,
-0.836562991142273,
0.43328970670700073,
0.0780099406838417,
-0.17291219532489777,
-0.23351162672042847,
-0.17797881364822388,
0.0913512259721756,
-0.47291144728660583,
-0.037708308547... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
[EX Q]: Comeu de máis. Tivo mala sorte.
[EX A]: She ate too much. She got unlucky.
[EX Q]: E é hora de que o noso currículo de matemáticas cambie de analóxico a dixital. Da máis clásica, matemática continua a unha máis ... | I looked into her face.
| 6 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-0.700705885887146,
0.7212841510772705,
0.16457167267799377,
-1.3866990804672241,
-0.486001193523407,
0.018662020564079285,
-0.05704735964536667,
0.3866080641746521,
-0.024843912571668625,
0.008444229140877724,
-0.1784847378730774,
0.2111223340034485,
-0.6750690937042236,
0.495581477880477... |
Part 1. Definition
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Part 2. Example
5 + 3
Answer: 2
Explanation: Here, '+' repre... | 36370 | 7 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
0.0535598024725914,
0.10962136089801788,
-0.6581990718841553,
0.43378782272338867,
-0.04233922064304352,
0.05162475258111954,
0.9261510968208313,
1.1070947647094727,
0.5683088302612305,
-0.30874696373939514,
-0.6111693382263184,
-0.5453824400901794,
-0.6173157691955566,
0.19720187783241272... |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Input: Consider Input: Какво ще се случи, ако няма алтернативи?
Output: What happens if there are no alternatives?
Input: Consider Input: В други сфери също надзорните органи ... | Output: It is estimated that this directive could mean the banning of 15% of pesticides.
| 2 | NIv2 | task271_europarl_translation | fs_opt | [
-0.11122101545333862,
0.7956211566925049,
0.37479066848754883,
-0.09594544768333435,
-0.06962937116622925,
-0.4305441677570343,
-0.12096654623746872,
1.3820796012878418,
0.7067975997924805,
0.6673781871795654,
-0.304418683052063,
0.29077261686325073,
-0.340918630361557,
-0.6139914393424988... |
A text is given in Malayalam. Translate it from the Malayalam language to the Telugu language. The translation must not omit or add information to the original sentence.
One example is below.
Q: ചെറിയ വിമാനത്താവളങ്ങളും ഹെലിക്കോപ്റ്ററുകളുമായി ബന്ധപ്പെട്ട വിവരങ്ങളുടെയും മികച്ച അനുഭവങ്ങളുടെയും പങ്കുവയ്ക്കല്
A: చిన్న విమా... | బాధలను పెంచే బదులు, యోగా శాంతత ను చేకూరుస్తుంది. | 9 | NIv2 | task1049_pib_translation_malayalam_telugu | fs_opt | [
-0.5136874914169312,
0.35351213812828064,
0.016375532373785973,
-0.013132860884070396,
0.11765554547309875,
-1.138737678527832,
0.29325979948043823,
0.676748514175415,
-0.22289800643920898,
0.248991459608078,
-0.6984128952026367,
-0.0060572391375899315,
-1.036074161529541,
0.36467772722244... |
In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Q: Passage: When Richard II was crowned in 1377, he led a procession from the Tow... | The Archbishop of Canterbury. | 4 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.980310320854187,
1.2490155696868896,
-0.06392751634120941,
0.39568716287612915,
0.4678440988063812,
-1.0508074760437012,
-0.11606766283512115,
0.9058172702789307,
-0.046903345733881,
0.032794807106256485,
-0.01382655929774046,
0.7407153844833374,
-0.9614259004592896,
0.4188276529312134,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
| 7 | NIv2 | task1205_atomic_classification_isafter | fs_opt | [
0.4792758822441101,
0.44560563564300537,
0.5385299324989319,
-0.39830946922302246,
-0.6246331930160522,
-0.7143945693969727,
1.367499828338623,
0.3693997859954834,
-0.5605548024177551,
-0.5394377708435059,
-0.46183449029922485,
-0.5030341148376465,
-0.707930326461792,
0.3752201795578003,
... |
Q: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be fou... | After Mary stirs the soup again | 7 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.8833444118499756,
0.6506928205490112,
-0.6292785406112671,
0.413205087184906,
-0.5890849232673645,
-0.1014714390039444,
1.168001651763916,
1.1558759212493896,
0.23798519372940063,
0.04932578280568123,
0.10372716188430786,
0.1362711787223816,
-0.3236328959465027,
-0.13956627249717712,
0... |
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.
[EX Q]: เจ้าหน้าที่ตำรวจ 30 คนถูกส่งไปประจำการที่ด่านกั้นถนนที่มุ่งหน้าไปยัง Pine Gap เมื่อเวลา 6:00 น. ตามเวลาท้องถิ่นและได้รับคำสั่งให้รออยู่ในรถขอ... | 月曜日、火はギリシャで行く手すべてを破壊し、燃え続けている。
| 6 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
0.02725354954600334,
-0.24800631403923035,
-0.14156821370124817,
-0.11439800262451172,
-0.28406864404678345,
-1.1821280717849731,
0.31008681654930115,
0.39934661984443665,
-0.5252374410629272,
0.20693984627723694,
-0.40681004524230957,
0.662631094455719,
-0.6060066223144531,
0.230869919061... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Example: Sentence 1: Next to the MGM Grand you will find M and M World. Sentence 2: The candy ha... | Solution: 9 | 5 | NIv2 | task198_mnli_domain_classification | fs_opt | [
-0.4073374271392822,
0.17804136872291565,
0.4527827501296997,
-0.490917444229126,
0.08432656526565552,
-0.01589106395840645,
-0.4140093922615051,
0.8647488951683044,
-0.36024099588394165,
-0.13005518913269043,
-0.6624922156333923,
-0.6726775169372559,
-0.2628660202026367,
-0.65429931879043... |
Detailed Instructions: Given a scientific passage and an answer, generate a question for the given answer.
Problem:Passage: that have taken place during this time. There are however, areas of knowledge and human experience that the methods of science cannot be applied to. These include such things as answering purely m... | The scientific method is a method of research with defined steps that include experiments and careful what? | 8 | NIv2 | task594_sciq_question_generation | zs_opt | [
0.3248845934867859,
0.3462138772010803,
-0.5313239693641663,
-0.25396421551704407,
-0.12235163152217865,
-0.597564160823822,
-0.463255375623703,
0.3331049680709839,
0.053834397345781326,
-0.33632299304008484,
-0.6677511930465698,
0.7193076014518738,
-0.3062490224838257,
0.0706997886300087,... |
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 ... | jump opposite right thrice after turn around left | 4 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.10691939294338226,
1.221266508102417,
-0.4419421851634979,
-0.22326190769672394,
0.04257383197546005,
0.6959822177886963,
0.11297594755887985,
0.8931318521499634,
-0.5001188516616821,
-0.5390360951423645,
-0.730950117111206,
-0.01350332424044609,
-0.6588287353515625,
-0.15377983450889587... |
Detailed Instructions: You are given a statement written in Telugu. 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 .
Problem:Statement: పొన్నంగూరు చిత్తూరు జిల్లా, కుప్పం మండలం లోని గ్రామం. ఇది మండల కేంద్రమైన ... | పుంగనూరు | 8 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | zs_opt | [
0.4228552579879761,
0.9441349506378174,
-0.059751078486442566,
-0.8175448179244995,
0.07856179028749466,
-1.3930261135101318,
-0.08386335521936417,
0.7617507576942444,
0.12944911420345306,
0.10091331601142883,
-0.27026981115341187,
0.07269524782896042,
-0.3771067261695862,
-0.8876106142997... |
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
[EX Q]: Camp Two, another 2,000 feet higher up, what's called the Western Cwm.
[EX A]: ومن ثم مخيم ثاني وأيضاً يعلو 2000 قدم عن سابقه ويدعى "" القاعدة الغربية ""
[EX Q]: See, my dad was a great, great man in many ways.
[EX... | في آكرون ، شركة مسرح تُدعى وندرينغ أثيتكس كانت تؤدي مسرحيات على شاحنات البيك أب الصغيرة.
| 6 | NIv2 | task1220_ted_translation_en_ar | fs_opt | [
-0.26464956998825073,
-0.5332739949226379,
0.04044192284345627,
-0.6861145496368408,
-0.8056735992431641,
-0.3369811177253723,
0.5311771035194397,
0.06992164254188538,
0.10216537863016129,
-0.3994547128677368,
-0.5469050407409668,
0.28939440846443176,
-1.2448618412017822,
-0.42321667075157... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Q: دربارۀ کلمۀ "" peruse "" فکر کنید و مورد استفاده از آن.
A: | 「 peruse 」という語についてどういう意味で使っているか考えてみてください | 9 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-0.5013008713722229,
0.7349786758422852,
-0.06944862008094788,
-0.19905658066272736,
0.008334485813975334,
-0.3900909721851349,
0.9430902004241943,
0.22845089435577393,
0.11055202782154083,
-0.3085041344165802,
-0.19906672835350037,
0.051314838230609894,
-0.2858559489250183,
0.253803014755... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Input: الان چهار لایحه در کنگره مطرحه. بیاید یکی از اون ها رو تصویب کنیم.
Output: | Ci sono sei progetti di legge ora in Congresso. Fate che ne passi almeno una. | 3 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-0.5045720934867859,
1.28972589969635,
-0.17123958468437195,
0.631920337677002,
-0.306415319442749,
-0.1466825157403946,
0.3978661894798279,
0.4966691732406616,
0.32203537225723267,
0.07880176603794098,
-0.5132354497909546,
0.008668194524943829,
0.3715413808822632,
0.19416582584381104,
0... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
Let me give you a... | 2, 4, 7, 10, 12, 15, 17, 22, 24, 26, 28, 29, 32, 33, 35, 36, 37 | 8 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
0.3574765622615814,
-0.37142813205718994,
-0.6348314881324768,
-0.539097785949707,
0.4329107403755188,
-0.5833562612533569,
0.9414535164833069,
0.2087743729352951,
-0.7430831789970398,
0.36297184228897095,
-0.6721142530441284,
0.08422712236642838,
-0.2829572558403015,
0.44245317578315735,
... |
In this task, you will be given a sentence. You need to reconize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct result of physical injury. Alth... | myotonic dystrophy
| 0 | NIv2 | task1448_disease_entity_extraction_ncbi_dataset | fs_opt | [
0.7901999950408936,
-0.07941287755966187,
-0.35123857855796814,
-0.005349048413336277,
-0.317209392786026,
-0.0943312793970108,
-0.29995203018188477,
1.2387001514434814,
-0.2626875042915344,
-0.3563350439071655,
-0.7495748996734619,
0.2511979043483734,
-0.39412927627563477,
0.2696114182472... |
Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Let me give you an example: रोजगार कार्यालय जाओ.
The answer to this example can be: Go to the employment office.
Here is why: The translation is correct
... | Here's where it makes the most sense? | 8 | NIv2 | task1323_open_subtitles_hi_en_translation | fs_opt | [
0.06300131976604462,
0.5349147915840149,
0.3634454011917114,
0.4488660991191864,
-0.14959266781806946,
-0.6499032974243164,
-0.5260173082351685,
-0.05698193609714508,
0.013300995342433453,
-0.10173986852169037,
-0.06124970316886902,
0.023404104635119438,
-0.12308353930711746,
0.32954305410... |
You will be given a definition of a task first, then some input of the task.
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 neg... | Neutral | 1 | NIv2 | task823_peixian-rtgender_sentiment_analysis | zs_opt | [
-0.5114706158638,
-0.38761693239212036,
0.4691149592399597,
0.36682015657424927,
0.6541744470596313,
-0.738882303237915,
0.6796333193778992,
0.933268129825592,
0.48293399810791016,
0.5870506167411804,
0.11645260453224182,
0.0404294990003109,
-0.09363797307014465,
-0.4310199022293091,
0.0... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Q: Sentence 1: Then he saw Shannon jerk away from that aid, walking stiffly toward Casa Grande w... | 9 | 4 | NIv2 | task198_mnli_domain_classification | zs_opt | [
-0.40304768085479736,
1.0063321590423584,
0.5271592736244202,
-0.8454833030700684,
-0.22931510210037231,
-0.029542293399572372,
0.3020060658454895,
0.841407299041748,
0.18516632914543152,
0.020397648215293884,
-0.4064279794692993,
-0.17757165431976318,
-0.7317246198654175,
-0.3261309266090... |
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using an... | He kept saying that to everyone he met.
| 6 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.23560334742069244,
0.6388334631919861,
-0.4054891765117645,
0.016186906024813652,
-0.24032627046108246,
-0.12086594104766846,
-0.10632587969303131,
0.1956413984298706,
-0.23619025945663452,
-0.2532908320426941,
-0.6706730723381042,
0.2942235469818115,
0.17316609621047974,
-0.27295035123... |
Detailed Instructions: In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a... | The 31-year-old striker/winger claims he has mellowed since being involved in a ruck with _. | 8 | NIv2 | task301_record_question_generation | zs_opt | [
1.0897345542907715,
0.6140091419219971,
-0.8921964168548584,
0.5837032794952393,
0.6624353528022766,
-0.7607620358467102,
0.9831442832946777,
0.39528408646583557,
-0.22036775946617126,
-0.419097363948822,
0.0972726121544838,
1.072835922241211,
-0.7493327260017395,
0.4021705090999603,
-0.... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Q: Now, what is your interest in the railroad, Mr. Young?
A: | -ما هو اهتمامك بالسكة الحديدية، سيد (يونغ)؟ | 4 | NIv2 | task651_opus100_en_ar_translation | zs_opt | [
-0.18618208169937134,
0.263907790184021,
0.3520650863647461,
-0.7594742774963379,
-0.1456076055765152,
-0.7048601508140564,
0.36745959520339966,
0.2184518575668335,
0.7301064133644104,
-0.6623913645744324,
0.1728638857603073,
-0.687545895576477,
-0.32185834646224976,
-0.21372584998607635,
... |
Q: In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise sentence. Please answer with "Contradiction", "Neutral", or "Entailment".
Premise: Baywatch is a 2017 Ameri... | Entailment | 7 | NIv2 | task1385_anli_r1_entailment | zs_opt | [
-0.20098736882209778,
-0.17326635122299194,
-0.14838656783103943,
-0.20154373347759247,
0.5488466024398804,
-0.6933585405349731,
0.8010851740837097,
0.9625056982040405,
0.7990844249725342,
0.42585092782974243,
-0.5217846035957336,
-0.2894397974014282,
-0.5687766075134277,
-0.62050521373748... |
This task is to translate a news commentary given in English language into French language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Input: Consider Input: Crown Prince Abdullah’s initiative pr... | Output: Ses livres, qu'il trouvait le temps d'écrire malgré les exigences mouvementées de la diplomatie, composaient la combinaison unique d'une colossale érudition et d'une compréhensibilité de la clarté du cristal.
| 2 | NIv2 | task1371_newscomm_translation | fs_opt | [
0.12041696161031723,
0.42052310705184937,
-0.09295986592769623,
-0.4917162358760834,
0.09743575006723404,
-0.0067065805196762085,
0.8079525232315063,
1.4537489414215088,
0.5245910286903381,
0.09402554482221603,
-0.4511447250843048,
0.2003306895494461,
-1.3636834621429443,
-0.34068953990936... |
TASK DEFINITION: Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (... | no
| 8 | NIv2 | task472_haspart_classification | fs_opt | [
-0.7909155488014221,
0.3080970346927643,
0.5554518699645996,
0.11984363198280334,
-0.08983465284109116,
-0.5606328845024109,
0.4970685541629791,
0.3557542562484741,
0.43117624521255493,
-0.7573240399360657,
-0.7085840702056885,
-0.15578843653202057,
-0.7125662565231323,
0.20755799114704132... |
Teacher:Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Teacher: Now, understand the problem? Solve this instance: तब ठीक है...
Student: | well the n... | 6 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
0.3264957666397095,
0.6260664463043213,
0.37421390414237976,
0.050931837409734726,
-0.06068161875009537,
-0.9485669732093811,
0.5890779495239258,
0.11863885074853897,
-0.07972399890422821,
-0.6260000467300415,
0.11146298050880432,
0.18937772512435913,
-0.47108978033065796,
-0.2879897654056... |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Example input: Text: Cheval de soins pour les enfants de 3 ans!
Example output: French
Example explanation: The given text is in French language
Q: Text: Divorce is allowed... | English | 3 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
0.7519476413726807,
-0.058659520000219345,
-0.04173982888460159,
0.35624396800994873,
0.05914488434791565,
-0.6724603176116943,
0.6016600131988525,
1.1343185901641846,
-0.41577792167663574,
0.2930772006511688,
-0.18608024716377258,
0.8220998644828796,
-0.7806808948516846,
0.206885427236557... |
In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label... | not
| 7 | NIv2 | task386_semeval_2018_task3_irony_detection | fs_opt | [
-1.081068992614746,
0.7235890626907349,
0.6260212659835815,
-0.0537058524787426,
-0.37258079648017883,
-0.11747922748327255,
0.5400108098983765,
0.42690932750701904,
0.6537113189697266,
0.00889492779970169,
-0.6457642316818237,
-0.2187359631061554,
-0.6315388083457947,
-0.02745343185961246... |
Instructions: 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 add... | strengthener | 3 | NIv2 | task936_defeasible_nli_snli_classification | zs_opt | [
0.3864332437515259,
0.5524097681045532,
-0.35660988092422485,
-0.3115134835243225,
-0.18709275126457214,
-0.8788140416145325,
0.7004237174987793,
1.527725338935852,
0.43203142285346985,
-0.6484403014183044,
-1.263855218887329,
0.16992904245853424,
-0.729885458946228,
0.06390251219272614,
... |
Q: In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage wh... | True | 7 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | zs_opt | [
0.02883579581975937,
0.5128800868988037,
0.7827231287956238,
-0.05646918714046478,
-0.489976167678833,
-0.13983681797981262,
0.7649296522140503,
0.5165362358093262,
0.23597857356071472,
0.11887477338314056,
-1.0751594305038452,
0.1441950798034668,
-1.3425016403198242,
0.13251343369483948,
... |
Given the task definition and input, reply with output. In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the lette... | C | 5 | NIv2 | task534_farstail_entailment | zs_opt | [
-0.3882545828819275,
0.2933368682861328,
0.4237823188304901,
0.07848560810089111,
-0.5408381223678589,
0.04755932837724686,
0.27365413308143616,
0.44803792238235474,
0.2501566410064697,
-0.7606091499328613,
-0.8707597255706787,
0.35609662532806396,
-0.20967432856559753,
0.02233977057039737... |
Given the task definition and input, reply with output. In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You ... | Race | 5 | NIv2 | task280_stereoset_classification_stereotype_type | zs_opt | [
-0.6780553460121155,
0.16712559759616852,
0.2164585292339325,
0.8986798524856567,
-0.2769865393638611,
0.5267707705497742,
0.5208045244216919,
0.7265174388885498,
0.8022433519363403,
-0.034095242619514465,
-0.6439797282218933,
0.0942138060927391,
-0.5088424682617188,
-0.32994550466537476,
... |
Instructions: This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph... | When was the British Museum in Bloomsbury founded? | 3 | NIv2 | task074_squad1.1_question_generation | zs_opt | [
-0.02515890821814537,
0.5755392909049988,
-0.43101102113723755,
-0.04226265847682953,
0.4883272051811218,
0.104695163667202,
0.3364342749118805,
0.2378910779953003,
0.5804455280303955,
-0.10556453466415405,
-0.34510689973831177,
0.33750051259994507,
-0.7525234222412109,
-0.0455448739230632... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Q: La introversión está más relacionada con cómo se responde a la estimulación, incluyendo la estimulación social.
A: درونگرایی بیشتر درباره اینست که چطور شما به محرک ها پاسخ می دهید ، شامل محرک های اجتماعی.
****
Q: A... | نقطه سیاه نمایانگر میانگین فعالیت های مغزی در تعامل با یکدیگر است.
****
| 4 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.6294623613357544,
0.20354966819286346,
0.28471481800079346,
-0.6478476524353027,
-0.3752295970916748,
0.6840335130691528,
0.6831851601600647,
1.2439138889312744,
0.7680119872093201,
0.0985107570886612,
-1.3980584144592285,
-0.0024335964117199183,
-0.5480672121047974,
0.18463635444641113... |
In this task, you are given a fact statement and question based on the fact. Your task is to generate the correct answer for the question. The answer needs to be generated using the context fact statement.
Example Input: Fact: reproduction produces offspring. Question: In order for a species to continue, constant mati... | the Amazon
| 3 | NIv2 | task1399_obqa_answer_generation | fs_opt | [
0.1363728791475296,
0.6257064342498779,
-0.4518831968307495,
0.29568880796432495,
-0.5668506026268005,
-0.26094377040863037,
0.02636600285768509,
1.0949547290802002,
-0.35652804374694824,
-0.049670662730932236,
-1.1248579025268555,
0.2773144841194153,
-0.7781857848167419,
0.419114530086517... |
instruction:
A text is given in English. Translate it from the English language to the Marathi language. The translation must not omit or add information to the original sentence.
question:
एवढेच नव्हे तर केंद्र सरकारच्या अथक आणि अभूतपूर्व प्रयत्नामुळे करतारपूर कॉरिडॉर निर्माण होणार आहे हे आपण जाणताच.
answer:
Moreover,... | Other projects proposed to be undertaken as India-Myanmar cooperation projects are those of setting up of "Bagan Haat" as a hub of Myanmar craft, food and cultural activities, LED-based street lighting, rain water harvesting for sustainable water management, training for alternative income generation for the people of ... | 9 | NIv2 | task1086_pib_translation_marathi_english | fs_opt | [
-0.015842262655496597,
-0.32371699810028076,
0.2457924783229828,
-0.3502264618873596,
0.06741882860660553,
-0.48635417222976685,
-0.12423308193683624,
0.5746853351593018,
-0.8910043239593506,
0.18051892518997192,
-0.3830551505088806,
-0.8538228869438171,
-0.4344770312309265,
0.323936283588... |
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the sentence. The ... | Wrong | 8 | NIv2 | task133_winowhy_reason_plausibility_detection | fs_opt | [
-0.10292892903089523,
0.5372846126556396,
0.06259948015213013,
0.06857108324766159,
0.587038516998291,
-0.936414897441864,
0.6332551836967468,
0.8507300615310669,
0.09246273338794708,
-0.6746059656143188,
-0.527006983757019,
0.5137084722518921,
-0.7356411218643188,
-0.6132427453994751,
0... |
Given the task definition, example input & output, solve the new input case.
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Example: Who was the first American President?
Output: president of the united states
The question talks about the pres... | arsenal | 1 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.19121456146240234,
0.5292176604270935,
-0.0475405678153038,
0.4243316054344177,
-0.17387019097805023,
0.04751874506473541,
0.6910641193389893,
0.10079745948314667,
0.2897915542125702,
-0.059997547417879105,
-0.6281290054321289,
-0.18196044862270355,
-0.20750534534454346,
-0.1408471614122... |
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".
Example Input: Japanese: トルコが、イラク国内のクルド人過激派に大規模な攻撃をしかけるかもしれないという懸念と、アメリカが、ウラン濃縮を続けるイランに一層の制裁を加えたことも、価格高... | Yes
| 3 | NIv2 | task1120_alt_ja_fil_answer_generation | fs_opt | [
-0.3311139643192291,
-0.5950738191604614,
0.20662641525268555,
-0.0076660821214318275,
0.3662923574447632,
-0.2440413534641266,
0.7092206478118896,
0.42667460441589355,
-0.559363603591919,
0.3373144865036011,
-0.7048251628875732,
-0.23469316959381104,
-0.5973591208457947,
0.051105409860610... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Sentence-1: I fell off my diet months ago.<sep>Sentence-2: I have been trying to ea... | Yes | 1 | NIv2 | task566_circa_classification | zs_opt | [
-0.81246417760849,
0.39182227849960327,
0.0699235051870346,
-0.14197012782096863,
-0.07492775470018387,
-0.4092894196510315,
0.4857335090637207,
0.8638474941253662,
-0.06631574779748917,
-0.09941574931144714,
-0.07439853250980377,
-0.8276210427284241,
-0.8826308250427246,
-0.35823073983192... |
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.
--------
Question: Context_1 : Asaphidion is a Holarctic genus of ground beetle native to Eur... | Which Canadian singer began his recording career with a selftitled debut album released on May 19 1998, and won Rolling Stones Best New Artist award that year?
| 7 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.9512001276016235,
-0.2450876533985138,
-0.477059930562973,
0.36939388513565063,
0.40323519706726074,
-1.1335744857788086,
0.43012428283691406,
0.5224545001983643,
0.07247317582368851,
0.27321287989616394,
0.008005255833268166,
1.0058228969573975,
-0.9504849910736084,
0.40537503361701965,... |
"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". Indicate yo... | Response 2
| 6 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.6012852191925049,
0.34310734272003174,
0.03781019523739815,
0.5320122241973877,
0.49487489461898804,
-0.8797184228897095,
0.07438307255506516,
0.6848766803741455,
-0.5072788000106812,
0.11981251835823059,
-0.4066784977912903,
0.36998409032821655,
-0.5090599656105042,
-0.2684233784675598,... |
Definition: The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced ... | cwo | 2 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.35879698395729065,
0.41859254240989685,
0.17753416299819946,
0.8116188049316406,
0.5821676254272461,
-1.1653146743774414,
0.861702561378479,
0.07705382257699966,
0.22499313950538635,
0.3250276446342468,
0.1348402053117752,
-0.5491385459899902,
-0.8749534487724304,
-0.3564891219139099,
... |
Definition: You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Input: Statement: શક શાસક રુદ્રદમન પ્રથમનો <MASK>નો શિલાલેખ આનર્તને તેના રાજ્યનો ભાગ હોવાનો ઉલ્લેખ કર... | જુનાગઢ | 2 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
-0.4002862274646759,
1.069469928741455,
0.40369534492492676,
-0.7839823961257935,
-0.5845257043838501,
-0.10010313987731934,
0.7771317362785339,
0.01054815761744976,
-0.2542710304260254,
-0.8836276531219482,
-0.20559777319431305,
-0.28033143281936646,
-0.3809092342853546,
-0.18106825649738... |
In this task, you will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s.
--------
Question: Galkin was nervous, and when Pelton asked him why, he said with humor that he had never been on CNN before referring to h... | Riotta
| 7 | NIv2 | task330_gap_answer_generation | fs_opt | [
-0.27997320890426636,
0.7600067853927612,
0.08642172068357468,
0.06495483219623566,
0.22993141412734985,
0.1916724145412445,
0.3833119869232178,
0.575843095779419,
-0.34272730350494385,
0.11882960796356201,
0.2287483513355255,
0.02798227034509182,
-1.1911976337432861,
-0.578575849533081,
... |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while... | False | 3 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.050901882350444794,
0.2340179681777954,
-0.6779323220252991,
0.08959323167800903,
-0.24932976067066193,
-0.008482827804982662,
-0.07265657931566238,
1.05698561668396,
0.04277519881725311,
0.40068328380584717,
-0.7002090811729431,
0.7586530447006226,
-0.8762756586074829,
-0.26818391680717... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
I noticed it's very multicultural. | 本当にいろんな人種の人がいるって気付いた | 0 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-0.24711273610591888,
0.25372064113616943,
-0.18036922812461853,
0.48362261056900024,
0.06059158220887184,
-0.966461181640625,
-0.0622144378721714,
-0.24405086040496826,
0.37952038645744324,
-0.6745879054069519,
-0.2092394381761551,
-0.19895893335342407,
-0.551755428314209,
0.2049355059862... |
Q: In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
What type of foods did the Jumano tribe eat?
A: | What types of food did the Yuki tribe eat? | 7 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
0.404021292924881,
0.9591225385665894,
0.1674148291349411,
-0.10595126450061798,
-1.0688457489013672,
0.19585087895393372,
0.9813296794891357,
0.10077938437461853,
-0.9033970832824707,
-0.9429490566253662,
0.35582035779953003,
-0.3263828754425049,
-1.7014838457107544,
0.03779860958456993,
... |
Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences are roughly equivalent, b... | 5 | 0 | NIv2 | task1347_glue_sts-b_similarity_classification | zs_opt | [
-0.5917462110519409,
0.39687204360961914,
-0.1270330548286438,
-0.06579892337322235,
0.20662713050842285,
-0.6940124034881592,
0.6247261762619019,
1.0204448699951172,
0.21252714097499847,
-0.06754662096500397,
-0.7153099179267883,
-0.5591474771499634,
-0.6755701303482056,
0.010294266976416... |
You will be given a definition of a task first, then some input of the task.
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural langua... | The Port Authority of New York and New Jersey is the operating organisation of Atlantic City International airport which is 23 metres above sea level. The runway name is 4/22 and it has a length of 3048.0. | 1 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
-0.5151556730270386,
0.5910181999206543,
-0.06651797890663147,
-0.4533657729625702,
-0.1821816861629486,
0.5215640664100647,
0.6274572014808655,
-0.2427002191543579,
-0.29271405935287476,
0.48738017678260803,
-0.5138421058654785,
0.0019360841251909733,
-0.4905804395675659,
-0.1624615639448... |
instruction:
In this task you are given an anecdote, which recount a complex ethical situation. The question you are given is, has the author of the anecdote acted ethically? answer this question with "RIGHT" or "WRONG".
question:
Background: We are both 20, been together roughly 6 and a half months, weed is legal here... | RIGHT
| 9 | NIv2 | task224_scruples_anecdotes_ethical_judgment | fs_opt | [
0.7259014248847961,
0.2794693112373352,
-0.5054177045822144,
0.07095788419246674,
0.7350580096244812,
-1.0176951885223389,
0.5483993887901306,
0.694669783115387,
0.139584481716156,
-0.018040452152490616,
-0.3406793475151062,
0.23307116329669952,
-0.304057240486145,
-0.41732555627822876,
... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found ... | Fresh coffee grounds and water | 3 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.8682401180267334,
0.2449939101934433,
-0.6788616180419922,
0.3177061080932617,
-0.1152096763253212,
-0.291288822889328,
1.0271011590957642,
0.6380833387374878,
-0.2701265513896942,
-0.1409875899553299,
-0.1753658950328827,
-0.365647554397583,
0.1046803668141365,
0.13311047852039337,
0.... |
Teacher:In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Teacher: Now, understand the pr... | entails | 6 | NIv2 | task1554_scitail_classification | zs_opt | [
-0.14240412414073944,
0.014530637301504612,
0.19644376635551453,
0.04494651407003403,
-0.17839357256889343,
-1.3474314212799072,
-0.32360851764678955,
0.3977895975112915,
-0.37893569469451904,
-0.037932731211185455,
-0.12972012162208557,
-0.5069687366485596,
0.045959822833538055,
-0.398404... |
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.
One example: Category: WHO'S BUYING?
Clue: YouTube, in 2006
Solution is here: google
Explanati... | tess of the d\'urbervilles | 6 | NIv2 | task306_jeopardy_answer_generation_double | fs_opt | [
-0.5977916121482849,
0.643020510673523,
-0.037768758833408356,
-0.20744961500167847,
0.1662909984588623,
0.42455774545669556,
-0.028066102415323257,
-0.11460848152637482,
0.2922983467578888,
-0.4141613841056824,
-0.3034621477127075,
-0.3784162998199463,
-0.7695879340171814,
-0.609536170959... |
Detailed Instructions: In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is... | Yes | 9 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-1.0883530378341675,
1.0055675506591797,
0.2555345892906189,
0.20199516415596008,
-0.353141725063324,
-0.6821572780609131,
0.36421236395835876,
0.26576563715934753,
0.3588372766971588,
-0.1530495584011078,
-0.5135498046875,
0.1357690840959549,
-0.757022500038147,
0.3029218018054962,
0.16... |
A text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence.
श्री कोविंद का विवाह 30 मई, 1974 को श्रीमती सविता कोविंद से हुई।
শ্রী কোবিন্দ ১৯৭৪ সালের ৩০ মে তারিখে শ্রীমতী সবিতা কোবিন্দ’কে বিবাহ করেন।
साथियों, वीरता... | বিজ্ঞানের সুফল কৃষিক্ষেত্রে পৌঁছে দিতে সরকার চেষ্টা চালাচ্ছে।
| 0 | NIv2 | task1010_pib_translation_hindi_bengali | fs_opt | [
-1.1446585655212402,
1.0871787071228027,
-0.3702707290649414,
-0.21119347214698792,
0.5075969099998474,
-0.3058074116706848,
0.07667096704244614,
0.20776249468326569,
0.07459139823913574,
-0.06400370597839355,
-0.3187015652656555,
0.1897469311952591,
-0.21339578926563263,
0.287375628948211... |
TASK DEFINITION: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
PROBLEM: ['339', '4483', '2989', '2025', 'u', 'M', '4403', 'R', '... | 7
| 8 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
0.14134198427200317,
0.3534591794013977,
-0.5440104603767395,
-0.28858524560928345,
-0.011587441898882389,
-0.08016514033079147,
0.3733976483345032,
0.301872193813324,
-0.574894905090332,
0.26195135712623596,
-0.7999144196510315,
0.257501482963562,
0.19580605626106262,
-0.05492376163601875... |
You will be given a definition of a task first, then some input of the task.
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
1 pound Padron peppers, 2 tablespoons olive oil, Sea salt
Output: | peppers, olive oil, salt | 1 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
-0.2234346866607666,
0.2423744648694992,
-0.1536693572998047,
0.3664185404777527,
-0.2940491735935211,
-0.2091044932603836,
1.5675551891326904,
0.2590111196041107,
-0.4184110164642334,
-0.38356757164001465,
-0.10791561007499695,
-0.4807584583759308,
-1.1541097164154053,
-0.3768109679222107... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Example input: Who was the first American President?
Example output: president of the united states
Example explanation: The question talks about the president of the USA.
Q: Baja California is p... | baja california | 3 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.47927337884902954,
0.3876137137413025,
-0.003653148654848337,
0.3548785448074341,
-0.5118650794029236,
-0.6962695121765137,
1.4672127962112427,
0.9360442161560059,
-0.19359910488128662,
0.06378999352455139,
-0.7828174233436584,
-0.09522807598114014,
-0.007226794958114624,
-0.297801911830... |
Teacher: In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
Teacher: ... | Sad | 2 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | fs_opt | [
-1.302525281906128,
-0.3848908543586731,
0.7723345160484314,
0.08753238618373871,
0.27385491132736206,
-1.2971552610397339,
0.1353529989719391,
0.5014607310295105,
-0.02685220167040825,
0.7014600038528442,
-0.23525741696357727,
-0.8666753768920898,
-0.26025664806365967,
-0.3392857611179352... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Igbo sentence: Kwere - Guevea De Humboldt Zapotec | croate - Guevea De Humboldt Zapotec | 0 | NIv2 | task449_opus_paracrawl_ig_en_translation | zs_opt | [
-0.09642259031534195,
0.6913505792617798,
0.19971373677253723,
-0.4924440085887909,
0.20635080337524414,
-0.44606536626815796,
0.923880934715271,
-0.1968805491924286,
0.09106791764497757,
-0.5601397752761841,
-0.528772234916687,
0.01856795698404312,
-1.091294765472412,
0.39041051268577576,... |
In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', c... | 1 | 9 | NIv2 | task201_mnli_neutral_classification | fs_opt | [
0.7314791679382324,
0.2532329261302948,
0.2648690342903137,
0.12452373653650284,
0.39174389839172363,
-0.3279229402542114,
0.21753206849098206,
1.2216918468475342,
-0.20673081278800964,
0.13979017734527588,
-0.13737568259239197,
-0.6075466275215149,
-0.2869639992713928,
-0.5107854604721069... |
Q: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to det... | No | 7 | NIv2 | task1212_atomic_classification_hasproperty | zs_opt | [
0.1070295125246048,
0.1538792997598648,
0.5727733373641968,
0.014898565597832203,
-0.543817400932312,
-1.0205693244934082,
0.9249476194381714,
0.6101667881011963,
-0.6992239952087402,
-0.25707757472991943,
-0.4127327501773834,
-0.40668636560440063,
-0.4121546447277069,
0.23963190615177155,... |
TASK DEFINITION: In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
PROBLEM: Tweet: has a crippled shoulder that hurts l... | yes
| 8 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.008589744567871,
-0.0297168530523777,
0.27530601620674133,
0.3741590976715088,
0.18767529726028442,
-0.897525429725647,
0.480529248714447,
0.3069879412651062,
0.3305239677429199,
0.5507532954216003,
-0.4253065884113312,
-0.2202850729227066,
-0.303109735250473,
-0.349590539932251,
-0.2... |
You will be given a definition of a task first, then some input of the task.
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.
Mark Raymon... | Mark Raymond Woodforde, OAM born 23 September 1965 is a former professional tennis player from Australia. | 1 | NIv2 | task192_hotpotqa_sentence_generation | zs_opt | [
-0.22695210576057434,
0.10592114925384521,
-0.6404263973236084,
-0.4792129695415497,
-0.22599725425243378,
0.014846442267298698,
0.9678069353103638,
0.7576249241828918,
-0.0398673415184021,
0.1767507791519165,
-0.20376938581466675,
0.8616108298301697,
-0.11348999291658401,
-0.6335044503211... |
Given the task definition and input, reply with output. In this task, you are given music product reviews in English 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.
One hit album . I bought this alb... | NEG | 5 | NIv2 | task478_cls_english_music_classification | zs_opt | [
-0.8475791215896606,
0.7541143894195557,
0.13992707431316376,
0.165359228849411,
0.4707309305667877,
-0.6172643899917603,
0.49017030000686646,
0.3141295909881592,
0.20564797520637512,
0.4272669553756714,
-0.3052152991294861,
-0.24314051866531372,
-0.46036025881767273,
-0.4418622553348541,
... |
You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea th... | unrelated | 3 | NIv2 | task320_stereoset_classification_race | fs_opt | [
-0.36311861872673035,
0.27908265590667725,
0.41393160820007324,
0.31404703855514526,
-0.08417575806379318,
-0.4975549876689911,
0.2870607376098633,
0.9224172234535217,
0.5509074926376343,
-0.06827782094478607,
-0.5894378423690796,
0.04840904474258423,
-0.7387241125106812,
-0.33635583519935... |
This task is about translating a given English language sentence to Yoruba language.
The lawmaker, stated that if the government refused to back down on the ASUU’s demands, the union may embark on another strike which would jeopardize the current peace being enjoyed by universities in the country. | Ó ní “Bí ẹgbẹ́ ASUU se ń fáríga láti ḿaa tẹ̀lé ètò ìlànà ti ́ ìjọba àpapọ̀ là sílẹ̀ nípa sísan owó osù wọn, leè fa ìyansẹ́lódì, ní èyí ti ́ó leè tún dákún ìsoro tó ń kojú àwọn akẹ́kọ̀ọ́ àti òbí wọn. | 0 | NIv2 | task1685_menyo20k_translation | zs_opt | [
0.4080473780632019,
0.6634329557418823,
-0.10020313411951065,
-0.3022204637527466,
0.09530417621135712,
-0.23156529664993286,
-0.1931411623954773,
0.5172325372695923,
-0.2588750123977661,
0.21410900354385376,
0.8531187772750854,
-0.28877341747283936,
-0.9990108013153076,
-0.108993530273437... |
Instructions: In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should... | Hateful | 3 | NIv2 | task333_hateeval_classification_hate_en | zs_opt | [
-0.6662821173667908,
-0.1825132668018341,
0.2963596284389496,
0.7406648397445679,
-0.08041371405124664,
-1.56488037109375,
0.33200734853744507,
0.9589210748672485,
0.04981319606304169,
0.45467230677604675,
-0.05908450856804848,
-0.10371984541416168,
-0.46636271476745605,
-1.067590236663818... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
Example: Context: Our prayers are with ... | Solution: yes | 5 | NIv2 | task241_tweetqa_classification | fs_opt | [
-0.6401406526565552,
-0.2664059102535248,
0.4949900507926941,
0.22339433431625366,
0.17393052577972412,
-0.6250611543655396,
0.497463583946228,
1.1043145656585693,
-0.10600422322750092,
-0.09678234905004501,
-0.1588146686553955,
-0.1547185331583023,
-0.6202381253242493,
-0.1867451816797256... |
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "d... | 99.5. | 3 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.678157389163971,
0.4734378159046173,
-0.20387959480285645,
-0.2609419822692871,
0.2734262943267822,
-0.9675214290618896,
0.950995683670044,
0.6457672119140625,
0.10492704808712006,
0.0367872416973114,
-0.32672807574272156,
0.4139408469200134,
-0.9387520551681519,
-0.15958276391029358,
... |
Q: This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
ఏ సహాయం దయచేసి ?
A: | Telugu | 7 | NIv2 | task1618_cc_alligned_classify_tel_eng | zs_opt | [
-0.3991098999977112,
0.6816966533660889,
0.9328294992446899,
-0.3249616026878357,
0.133773073554039,
-0.7923486232757568,
0.5491005778312683,
0.38959866762161255,
0.2621527910232544,
-0.15483376383781433,
0.13945810496807098,
-0.20210905373096466,
-0.2873339056968689,
0.13320320844650269,
... |
Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: دارکوب ها معمولا نوک می زنند ، آنها سرشان را هر روز به یک تکه چوب هزاران بار می کوبند. هر روز!
Student: | Os picapaus, normalmente, petan, e baten coa cabeza contra un toro de madeira milleiros de veces ao día. Cada día! | 6 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-1.3640947341918945,
0.2983325719833374,
-0.08742962777614594,
-0.5303512811660767,
-0.8025869727134705,
-0.14604885876178741,
1.5507428646087646,
0.542513906955719,
-0.9453906416893005,
0.08618760854005814,
0.18180683255195618,
-0.18296070396900177,
-0.893731951713562,
0.15111283957958221... |
Detailed Instructions: In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
See one example ... | neutral | 4 | NIv2 | task1554_scitail_classification | fs_opt | [
0.32819896936416626,
0.47734612226486206,
0.010121449828147888,
-0.013338725082576275,
-0.5187567472457886,
-1.136458396911621,
0.2404560148715973,
0.8383616209030151,
0.0582335889339447,
-0.4664244055747986,
-0.9042953252792358,
-0.12274255603551865,
-0.5698786973953247,
0.188625872135162... |
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Ex Input:
Sentence1: No specific area. Sentence2: Thank you, goodbye. Sentence3: I have found no restaurants serving Christmas food in the expensive price range. Would you like a different ... | Answer: (A) User
| 1 | NIv2 | task638_multi_woz_classification | fs_opt | [
0.3862744867801666,
0.26826322078704834,
-0.47326016426086426,
-0.4221908748149872,
0.49088430404663086,
-0.3755497336387634,
0.3546258807182312,
0.9918824434280396,
-0.12865909934043884,
-0.44720137119293213,
0.5223816633224487,
0.28533127903938293,
-0.7003530263900757,
0.2066891491413116... |
Instructions: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Input: qygygyqyqqygg
Output: | qygygyq | 3 | NIv2 | task850_synthetic_longest_palindrome | zs_opt | [
-0.5811764597892761,
1.068622350692749,
0.13562360405921936,
-0.5385658144950867,
-0.12703271210193634,
-0.45857733488082886,
0.8029155731201172,
-0.3746050298213959,
0.14971578121185303,
-0.2702663540840149,
-0.5786109566688538,
0.23323583602905273,
-0.5160237550735474,
0.4839741587638855... |
instruction:
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
question:
4, ['g', 'A', '9391', 'U', '8465', '2211', '8559', 'C', '7199', 'T', '617', '1755', '4243', '... | Y, T, 7539, L, 7703, 2375, M, 6485, y, L, s, 2707, 5593, s, R, 2349, 9461, 1563, 9799, 223
| 9 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
0.18928205966949463,
0.11877180635929108,
-0.4877082109451294,
-0.6434164047241211,
-0.18808045983314514,
-0.6002146601676941,
0.6096737384796143,
0.3384005129337311,
-0.5288076400756836,
0.09865748882293701,
-0.6523230671882629,
-0.0580335408449173,
-0.10728675127029419,
0.173010781407356... |
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