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 |
|---|---|---|---|---|---|---|
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
[EX Q]: Who was chair of the IPCC in 1990?, Context: Korean economist Hoesung Lee is the chair of the IPCC since October 8, 2015, following the election of the new IPCC Bureau. Before this election... | Beginning in 1966
| 6 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.10233637690544128,
0.15928006172180176,
-0.19457781314849854,
-0.4946308732032776,
0.24121084809303284,
-0.057631656527519226,
0.527679443359375,
0.38961783051490784,
-0.16353681683540344,
0.3184438943862915,
-0.4855983257293701,
0.5989090204238892,
-0.7596361041069031,
0.513455152511596... |
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the end sentence choices from (A) and (B), such that the story does not sound complete and coherent, i.e., select an incorrect end sentence.
Let me... | B | 8 | NIv2 | task297_storycloze_incorrect_end_classification | fs_opt | [
0.27433842420578003,
0.5863012075424194,
-0.08361151814460754,
-0.5823454260826111,
-0.2575932741165161,
-0.7700134515762329,
0.10411351919174194,
0.8811690807342529,
0.3653879761695862,
0.1065039187669754,
-0.3030799627304077,
0.04957641288638115,
-0.00003573484718799591,
-0.0169547609984... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Bien, ¿por qué puede ser esto? ¿Por qué sucede así?
A: | Ok. E por que será assim? Por que será? | 7 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
-0.964210033416748,
1.0520741939544678,
-0.06709437072277069,
-0.46189188957214355,
-0.3334742486476898,
-0.5122522115707397,
-0.7289127707481384,
1.0604435205459595,
1.0241916179656982,
-0.33713704347610474,
-0.16212910413742065,
0.2559557557106018,
-0.7980304956436157,
-0.061126358807086... |
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Example solution: Italia berhasil mengalahkan Portugal 31-5 di... | Solution: Banyak dari program latihan ini, khususnya pada perusahaan-perusahaan besar, mengklaim bahwa ini murni psikologis, bertujuan untuk meningkatkan produktivitas dan moralitas dan loyalitas. | 5 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
-0.39650195837020874,
0.8961846828460693,
-0.6984312534332275,
0.09709245711565018,
-0.17100688815116882,
-0.47428226470947266,
0.2338775396347046,
0.07469511032104492,
-0.11812062561511993,
-0.48075056076049805,
-0.9938826560974121,
0.898098349571228,
-0.7762569785118103,
0.63785028457641... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Example: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Example solution: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Example explanation: The Hebrew... | Solution: (فيديو) مسؤول: أخرج بعض المال من جيبه ووضعها على الطاولة ، لكي لا نكون خائفين. | 5 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.36667394638061523,
0.40034928917884827,
-0.23026980459690094,
-0.5846371650695801,
-0.7586972713470459,
-0.37624913454055786,
1.2750530242919922,
-0.17992129921913147,
0.4655090272426605,
-0.4998210072517395,
-0.8913964033126831,
0.19735655188560486,
-0.9718050956726074,
-0.169013559818... |
Given the task definition and input, reply with output. Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Se... | Positive | 5 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-0.3511348068714142,
0.0222952701151371,
0.35553327202796936,
0.047947682440280914,
0.27331066131591797,
-0.5216515064239502,
0.933825671672821,
0.4509900212287903,
0.52034592628479,
-0.021951816976070404,
-1.0894137620925903,
0.6346222162246704,
-1.0331172943115234,
-0.47914522886276245,
... |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Input: Viron WALL-E?
Output: | הבחנתם בוול-אי? | 3 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
0.10274286568164825,
1.2152678966522217,
0.03394537419080734,
0.5633776783943176,
-0.1438976526260376,
-1.0468430519104004,
0.474030077457428,
1.4855542182922363,
0.13000060617923737,
0.11217311024665833,
-0.35858747363090515,
0.3627990782260895,
-1.159318447113037,
-0.23147663474082947,
... |
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
[EX Q]: Context: Pieniężno Pierwsze [pjɛˈɲɛ̃ʐnɔ ˈpjɛrfʂɛ] is a village in the administrative district of Gmina Pien... | 3
| 6 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
0.07614210247993469,
0.49902161955833435,
-0.1628810614347458,
0.7327671647071838,
0.5243629813194275,
-0.48581013083457947,
0.8523595333099365,
0.9269179105758667,
-1.0158848762512207,
-0.3110853433609009,
-0.7160063982009888,
0.5577637553215027,
-0.3792738914489746,
-0.16253462433815002,... |
Q: In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
PersonX makes ___ for lunch
A: | chicken | 7 | NIv2 | task1217_atomic_answer_generation | zs_opt | [
-0.5190571546554565,
0.4650045335292816,
0.1833960860967636,
0.03515120595693588,
-0.597385585308075,
-0.09371887892484665,
0.823331356048584,
0.6870180368423462,
-0.2111171931028366,
-0.9335556030273438,
-0.05286293849349022,
-1.0182245969772339,
-0.28996938467025757,
-0.13643650710582733... |
Detailed Instructions: 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 buildin... | I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK | 4 | NIv2 | task130_scan_structured_text_generation_command_action_long | fs_opt | [
0.15033432841300964,
0.4018891155719757,
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-0.20896905660629272,
0.14250445365905762,
0.11929783225059509,
0.49578309059143066,
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-0.27614259719848633,
-0.37054717540740967,
-0.7455372214317322,
-0.287814199924469,
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0.03899077326059... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Q: Il numero di petali di un fiore è tipicamente un numero di Fibonacci, o il numero di spirali di un girasole o di un ananas tende ad essere un numero di Fibonacci.
A: | Liczba płatków kwiatu zazwyczaj jest liczbą Fibonacciego, tak, jak liczba spiral w słoneczniku albo ananasie, które zwykle też są liczbami Fibonacciego. | 4 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
-1.0026261806488037,
0.4707871973514557,
-0.26930898427963257,
0.2342306524515152,
-0.5181654095649719,
-1.0274708271026611,
0.7906628847122192,
0.1346403807401657,
-0.4468170404434204,
-0.21713970601558685,
-1.255441665649414,
0.6796958446502686,
-0.44463860988616943,
1.017366647720337,
... |
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 return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be... | 32351 | 0 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
-0.6289219856262207,
0.4299863576889038,
-0.24936750531196594,
-0.7690885066986084,
-0.18871696293354034,
0.17869003117084503,
0.22400566935539246,
-0.04831922799348831,
-0.6574479937553406,
0.33564338088035583,
-0.8025780916213989,
0.4683181047439575,
0.38027656078338623,
-0.4210479259490... |
Detailed Instructions: Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
See one example below:
Problem: Text: 'try and ehm go as close to ravine as possible but up towards the carved stones'.
Solution: English
Explanation: This is an English sentence.
Problem: Tex... | French | 4 | NIv2 | task896_miam_language_classification | fs_opt | [
0.24937725067138672,
0.6747168302536011,
0.47760850191116333,
-0.6599752306938171,
-0.16821449995040894,
-1.1484872102737427,
0.8610724210739136,
0.5698122978210449,
0.20076923072338104,
-0.19106128811836243,
-0.09097300469875336,
0.3511923849582672,
-0.6487550735473633,
-0.272529780864715... |
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... | Solution: The man chose medication for his infection rather than the ointment, because the _ was helpful. | 5 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.7205435037612915,
0.16905426979064941,
0.09458620101213455,
-0.14108562469482422,
0.6167460680007935,
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0.7900841236114502,
1.1603773832321167,
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-0.2958531677722931,
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0.2499278336763382,
-0.45774948596954346,
0.043891869485378265... |
Q: Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the a... | no | 7 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
-0.16280218958854675,
0.09712924063205719,
0.5228128433227539,
0.2690742611885071,
0.264853835105896,
-0.6958507299423218,
0.47492438554763794,
1.3672592639923096,
-0.2180572897195816,
-0.23788699507713318,
0.19175589084625244,
-0.09056936204433441,
-0.21751099824905396,
0.1620844304561615... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Example: Abstract: This study was designed to determine the i... | no | 1 | NIv2 | task1587_scifact_classification | fs_opt | [
0.3356930613517761,
0.22968152165412903,
-0.798786997795105,
0.7808073163032532,
1.0346035957336426,
-0.054173558950424194,
0.07090648263692856,
0.762127697467804,
0.160856693983078,
-0.05096428096294403,
-0.5582795739173889,
0.5860356092453003,
-0.5171166062355042,
-0.1187940165400505,
... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have ... | Un'isola è un pezzo di terra circondata dall'acqua. | 1 | NIv2 | task408_mickey_it_sentence_perturbation_generation | fs_opt | [
-0.6004871129989624,
0.4286399483680725,
-0.5987390279769897,
0.15136957168579102,
-0.010412891395390034,
-0.2662537693977356,
0.2704203724861145,
1.2755913734436035,
0.020179009065032005,
-0.323453426361084,
-0.7202560305595398,
-0.339052677154541,
0.11042352020740509,
-0.3061557412147522... |
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Example input: Our friends won't buy this analysis, let alone the next one we propose.
Example output: 1
Example explanation: S... | 0 | 3 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | fs_opt | [
-0.5965331196784973,
0.8473567962646484,
0.2694975733757019,
-0.5368597507476807,
0.29018330574035645,
-1.717144250869751,
0.30343306064605713,
0.28222519159317017,
0.078254334628582,
-0.12628993391990662,
-0.6108128428459167,
-0.2998918890953064,
-0.1448165476322174,
-0.8895403146743774,
... |
Rewrite each original sentence in order to make it easier to understand by non-native speakers of English. You can do so by replacing complex words with simpler synonyms (i.e. paraphrasing), deleting unimportant information (i.e. compression), and/or splitting a long complex sentence into several simpler ones. The fina... | A supermassive black hole has a mass between 105 and 1010 solar masses.
| 7 | NIv2 | task111_asset_sentence_simplification | fs_opt | [
-0.20838117599487305,
0.5291075110435486,
0.4260934293270111,
-0.04765591397881508,
0.03676080331206322,
-0.030344031751155853,
1.4549510478973389,
-0.018966086208820343,
0.5135089159011841,
0.03512078523635864,
-0.9678241014480591,
0.31025177240371704,
-0.7671083211898804,
0.7161275148391... |
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 ... | TEHRE | 2 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.4824239909648895,
0.051479458808898926,
0.045120950788259506,
0.8875654339790344,
0.5646528005599976,
-1.2761850357055664,
0.9060830473899841,
0.09417609870433807,
0.18918190896511078,
0.2262485921382904,
-0.6309303045272827,
-0.1597111076116562,
-0.4231959879398346,
-0.1322388947010040... |
Definition: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event.... | Yes | 2 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.3574918806552887,
0.04991719871759415,
0.3669804632663727,
-0.23231405019760132,
-0.7597283124923706,
-1.3625643253326416,
1.1927980184555054,
0.15200327336788177,
-0.6970860958099365,
-0.7239176034927368,
-0.27596548199653625,
-0.875008225440979,
-0.7809104323387146,
0.25666412711143494... |
Definition: 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 t... | jump and run | 2 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.2732017934322357,
0.4096512794494629,
-0.5046050548553467,
0.09166844189167023,
-0.09383870661258698,
0.057830698788166046,
0.23460575938224792,
0.4562816023826599,
0.07185645401477814,
-0.24104252457618713,
-0.8833800554275513,
-0.30113232135772705,
-0.8592521548271179,
-0.0724986791610... |
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.
Q: ACTION1: refusing to babysit for distant relatives, because they don't allow me to discip... | yes | 4 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
-0.2916916012763977,
0.06424348056316376,
0.11716220527887344,
-0.04701264947652817,
-0.21496930718421936,
-0.6785615086555481,
0.034127041697502136,
0.817825198173523,
0.30887743830680847,
0.3296375870704651,
-0.496257483959198,
-0.2157900184392929,
-1.0908135175704956,
-0.762280225753784... |
Detailed Instructions: 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:['v', '6775', '8795', 'P', 'y', '9039', '9297', '75... | 21 | 8 | NIv2 | task505_count_all_numerical_elements_in_list | zs_opt | [
-0.2834419906139374,
-0.010181118734180927,
-0.071088507771492,
-0.6708715558052063,
-0.06692911684513092,
0.16970399022102356,
0.6548804640769958,
0.5124316215515137,
-0.1377524882555008,
0.9355599284172058,
-0.8837858438491821,
0.2702633738517761,
-0.1653020977973938,
-0.1627710461616516... |
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 correct answer addresses the question only partially or incorrectly. If you t... | No.
| 6 | NIv2 | task056_multirc_classify_correct_answer | fs_opt | [
0.3473697006702423,
0.6287702322006226,
-0.3356630802154541,
-0.34807246923446655,
0.391365647315979,
-0.21512973308563232,
0.5525463819503784,
0.811754584312439,
-0.06712646782398224,
0.1833123117685318,
-0.3825637102127075,
0.580443799495697,
-0.8987478017807007,
-0.014829148538410664,
... |
Teacher: In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
Teacher: Now, understand the problem? If you are... | Where is Mary? | 2 | NIv2 | task082_babi_t1_single_supporting_fact_question_generation | fs_opt | [
0.3924662470817566,
0.5828458070755005,
-1.1227591037750244,
-0.5047112703323364,
-0.042499154806137085,
-0.6816127300262451,
0.059179700911045074,
0.4638480544090271,
0.25248610973358154,
-0.06561631709337234,
0.04965469613671303,
0.11428572237491608,
-0.17508156597614288,
-0.427912175655... |
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that defin... | eq { min { all_rows ; original airdate } ; november 02 }
| 1 | NIv2 | task210_logic2text_structured_text_generation | fs_opt | [
0.36506569385528564,
-0.03467307984828949,
-0.3952043056488037,
0.4481942653656006,
0.6038459539413452,
-0.5666837692260742,
0.4747338891029358,
0.43094760179519653,
-0.26104816794395447,
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0.04026693105697632,
-0.09120969474315643,
0.513925790786743... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
One example is below.
Q: Igbo sentence: Olee kwere omume?
A: How is this possible
Rationale: The English translation means the same as the original sentence in the Igbo language.
Q: Igbo sen... | What ends discussions about licensing of foreign casinos is not yet clear, but while any Armenian can safely enjoy playing in their favorite online casinos and not be afraid that access will be closed and he will not be able to get his winnings. | 9 | NIv2 | task449_opus_paracrawl_ig_en_translation | fs_opt | [
0.2734978497028351,
0.5790062546730042,
0.0886874869465828,
-0.28487735986709595,
0.2389100342988968,
-1.3482592105865479,
0.7075189352035522,
1.0063331127166748,
0.1418430209159851,
-0.40965068340301514,
-0.016041632741689682,
0.2933579683303833,
-0.6982274651527405,
-0.3180246949195862,
... |
Teacher: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Teacher: Now, understand the prob... | Toxic | 2 | NIv2 | task327_jigsaw_classification_toxic | fs_opt | [
-0.3371747136116028,
0.5631665587425232,
0.802910327911377,
-0.1603611558675766,
-0.2063591331243515,
-0.8089122176170349,
0.9662837982177734,
0.2221485674381256,
0.4865891933441162,
0.7341998219490051,
0.04083702713251114,
0.005461793392896652,
-0.7097374796867371,
-0.8509907126426697,
... |
Q: 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 deficatio... | ordinal | 7 | NIv2 | task212_logic2text_classification | zs_opt | [
0.24803376197814941,
-0.3214232623577118,
-0.3021133840084076,
0.23358018696308136,
0.4101681113243103,
-0.6379035115242004,
0.6927825212478638,
0.65047687292099,
0.6015397310256958,
0.11170872300863266,
-0.16239795088768005,
0.21590368449687958,
-0.04997014254331589,
0.5091304183006287,
... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | [['R', 'p'], ['R', '1'], ['p', '1']] | 3 | NIv2 | task208_combinations_of_list | fs_opt | [
0.1316373497247696,
-0.019572118297219276,
-0.624298095703125,
0.34783250093460083,
0.6584639549255371,
-0.526458740234375,
0.9545741081237793,
1.1655817031860352,
-0.4819970428943634,
0.4291730523109436,
-0.3861265480518341,
-0.017328668385744095,
-0.10315795242786407,
-0.3301645517349243... |
Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the even... | Yes | 3 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
-0.41818541288375854,
0.1478046476840973,
0.40698912739753723,
-0.2919870615005493,
-0.21837207674980164,
-0.9313690066337585,
1.049829125404358,
0.6244063377380371,
-0.4358397126197815,
-0.5537514686584473,
0.02420702949166298,
-0.3906450867652893,
-0.4688851237297058,
0.13406145572662354... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
(Musica) Sono andato all'Ospedale St. James per vedere la mia piccola là. Era stesa su un lungo tavolo di legno Così fredda, così immobile, così be... | (موسیقی) رفتم به بیمارستان « سن.جیمز » تا محبوبم را ببینم او روی یک میز چوبی دراز کشیده بود کاملاً سرد ٬ خاموش و زیبا رفتم به دیدار جناب دکتر گفت « بسیار ضعیف شده » برگشتم که محبوبم را ببینم خدای من او بی جان آرمیده است رفتم به میخانه ی « اولد جو » واقع در گوشه ی میدان مثل همیشه با نوشیدنی پذیرایی می کردند و جم... | 1 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
0.2095184326171875,
0.7401571273803711,
-1.119394302368164,
0.11102663725614548,
0.1964072734117508,
-0.23600661754608154,
0.5708299279212952,
0.8938975930213928,
0.4610857367515564,
0.9005742073059082,
-0.5027945041656494,
0.20998913049697876,
0.0688193291425705,
0.5906934142112732,
0.5... |
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
[EX Q]: Context: .@SpeakerRyan: "Ther... | who was it that stopped @chrisrock?
| 6 | NIv2 | task240_tweetqa_question_generation | fs_opt | [
0.1286875605583191,
0.6623388528823853,
-0.24865218997001648,
-0.033186160027980804,
0.14112383127212524,
-0.6327962875366211,
0.06904695928096771,
0.368856281042099,
0.3782182037830353,
0.7515170574188232,
-0.005602794699370861,
-0.10163678973913193,
-0.39041459560394287,
0.22615700960159... |
instruction:
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
question:
4, 13, ['9571'... | J, 4443, B
| 9 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
0.2525438964366913,
-0.09037292003631592,
-0.6324501037597656,
-0.09126630425453186,
-0.15351155400276184,
-0.5336188673973083,
0.6662817001342773,
0.34291791915893555,
-0.721955418586731,
0.058956217020750046,
-0.784092366695404,
0.10443221032619476,
0.004697851836681366,
0.12254025042057... |
Q: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Context: Later in the day Teddy Tetzlaff c... | Answer: none | 7 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
-0.9858070611953735,
0.025669872760772705,
0.14423716068267822,
0.7023941874504089,
-0.23830276727676392,
0.5160990357398987,
0.7581452131271362,
0.6624183654785156,
0.5263672471046448,
0.021401867270469666,
-0.3002886474132538,
0.03332795575261116,
-0.01133676990866661,
-0.010803399607539... |
Teacher:This task is about translating a given English language sentence to Yoruba language.
Teacher: Now, understand the problem? Solve this instance: Atlanta, United States—2019 “Love Never Fails”! International Convention
Student: | Àpéjọ Àgbáyé “Ìfẹ́ Kì Í Yẹ̀ Láé”! Tá A Ṣe ní 2019—Atlanta, Orílẹ̀-èdè Amẹ́ríkà | 6 | NIv2 | task1685_menyo20k_translation | zs_opt | [
1.098649501800537,
0.6796575784683228,
0.14460626244544983,
0.09867902100086212,
-0.027803439646959305,
-0.5393699407577515,
-0.9387255311012268,
0.5196560025215149,
-0.17092710733413696,
-0.22507895529270172,
0.1812225878238678,
-0.07702669501304626,
-0.7350155115127563,
-0.22520187497138... |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
この構想の焦点はシンプルでアクセスしやすく人間中心の解決法です
A: | انها مبادرة تركز على حلول بسيطة وسهلة المنال وترتكز على الانسان. | 7 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
0.24464450776576996,
0.0809219628572464,
-0.21748530864715576,
-0.7168264985084534,
-0.4127819240093231,
-0.22747737169265747,
1.774504542350769,
-0.5795281529426575,
0.6776522397994995,
-0.10984567552804947,
-0.29146188497543335,
0.33778542280197144,
-0.38768506050109863,
0.37487781047821... |
Q: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Eleven care workers admitted a total of 38 charges after they were secretly filmed abusing and neglecting patients at Winterbourne View, near Bristol. Mencap and the Challenging Behaviour Foundation s... | Two years after abuse at a private hospital was exposed, charities want more action to help those affected. | 7 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
1.0209451913833618,
0.6618927717208862,
0.18493667244911194,
-1.1488906145095825,
1.1967641115188599,
-0.1893075853586197,
0.1288755238056183,
0.8803921341896057,
-0.8487531542778015,
-0.08759208023548126,
0.4166606664657593,
0.8692494034767151,
-0.42084941267967224,
0.25407135486602783,
... |
Definition: You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Input: CONTEXT: Aparte de ello, los isótopos radiactivos se utilizan hoy en los laboratorios... | la identificación y el tratamiento de numerosas enfermedades | 2 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
0.5287125110626221,
-0.10481446981430054,
0.03284534066915512,
0.285017728805542,
0.7246172428131104,
-0.5755186676979065,
0.7454150319099426,
0.8127719163894653,
0.27986153960227966,
-0.03135191276669502,
-0.7948961853981018,
0.4508918523788452,
-0.15578502416610718,
0.594654381275177,
... |
You will be given a definition of a task first, then some input of the task.
You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Paragraph: Higher-frequency waves have more energy.
Question: If Mona is generati... | decreases | 1 | NIv2 | task1731_quartz_question_answering | zs_opt | [
0.18964490294456482,
0.5001697540283203,
-0.5008962154388428,
0.49388575553894043,
-0.2016572803258896,
-0.41381460428237915,
0.6013191938400269,
0.9510761499404907,
-0.24193698167800903,
0.19320739805698395,
-0.3806609511375427,
-0.24793586134910583,
-0.3961710035800934,
-0.30347743630409... |
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT ... | Output: ¿Dónde termina la escalera doble de las Grutas Vaticanas?
| 2 | NIv2 | task1335_sqac_question_generation | fs_opt | [
0.42617136240005493,
0.45262640714645386,
-0.12746255099773407,
-0.04859360307455063,
0.3990554213523865,
0.04462464898824692,
0.6594392657279968,
0.9611332416534424,
-0.3339861035346985,
0.2387653887271881,
-0.1542544662952423,
0.6066392660140991,
-0.3826567530632019,
0.03163176774978638,... |
TASK DEFINITION: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
PROBLEM: Context: The gene(s) encoding for endomorphin precursor(s) is/are still unknown. We have raised the possibility of and did... | The results of this study demonstrate that hyperglycemia inhibits human PDLSC proliferation and osteoblastic differentiation.
| 8 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.43942737579345703,
0.24603576958179474,
-0.7478070259094238,
0.5712972283363342,
0.09894663095474243,
-0.2909201383590698,
0.2873764634132385,
0.9657235145568848,
-0.05395597964525223,
0.45545822381973267,
-0.4228450655937195,
0.4218854308128357,
-0.6520965099334717,
0.09971032291650772,... |
In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
[2, 7, 1, 5, 2, 5] | [7, 1] | 0 | NIv2 | task097_conala_remove_duplicates | zs_opt | [
-0.27776801586151123,
0.6672650575637817,
-0.23258846998214722,
-0.13039420545101166,
0.131956085562706,
-0.3947823941707611,
1.1189947128295898,
0.09338423609733582,
-0.71534663438797,
-0.056367889046669006,
-1.2865583896636963,
-0.28881609439849854,
-0.38237714767456055,
-0.1232056915760... |
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Example: PersonX sees ___ in the wild
Example solution: tiger
Example explanation: Th... | Solution: restaurant | 5 | NIv2 | task1217_atomic_answer_generation | fs_opt | [
-0.7199547290802002,
0.8400184512138367,
-0.3208450675010681,
-0.5610243082046509,
-0.2409147173166275,
-0.3264826536178589,
0.38937145471572876,
0.7993087768554688,
-0.14354848861694336,
-0.6822649240493774,
-0.373462975025177,
-0.8792622089385986,
-0.5581873059272766,
0.04309815913438797... |
Instructions: You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expecte... | Text two | 3 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-0.9610756635665894,
0.7192789316177368,
-0.27735769748687744,
-0.4711611270904541,
-0.2556397318840027,
0.00020930776372551918,
1.1528329849243164,
0.36226800084114075,
0.16615083813667297,
0.2110978215932846,
-0.30078136920928955,
-0.5060532093048096,
-0.25669538974761963,
0.336213350296... |
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 second sentence, otherwise answer with '0'.
Q: Sentence 1: Kozlowski and the comp... | 0 | 4 | NIv2 | task1344_glue_entailment_classification | zs_opt | [
-0.8362865447998047,
1.0335906744003296,
0.3552740812301636,
0.0075307260267436504,
0.3412710428237915,
-0.7176216244697571,
-0.18402305245399475,
-0.21290066838264465,
0.6841719150543213,
0.15948587656021118,
-0.13350224494934082,
-0.5213539600372314,
-0.2141137421131134,
-0.3362230062484... |
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning ty... | By how many dollars did the median income for a family rise by 2007? | 0 | NIv2 | task026_drop_question_generation | zs_opt | [
0.703762412071228,
0.7821170091629028,
-0.12465112656354904,
-0.049895286560058594,
0.18280945718288422,
0.18836921453475952,
0.3373064696788788,
1.1073691844940186,
-0.049416907131671906,
-0.5745995044708252,
-0.5446117520332336,
0.31249547004699707,
-1.0354084968566895,
-0.05827589333057... |
Detailed Instructions: This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a senten... | Viettel (Cambodia) Pte., Ltd. | 9 | NIv2 | task1413_dart_object_identification | zs_opt | [
-0.42182981967926025,
0.6369817852973938,
-0.3287402391433716,
-1.0004596710205078,
-0.3372521698474884,
-0.3702812194824219,
1.0672577619552612,
0.5778505802154541,
0.09648758172988892,
-0.03326546028256416,
-0.8888179659843445,
-0.106681227684021,
-0.3681359887123108,
0.2171284258365631,... |
Detailed 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 pro... | weakener | 8 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
0.11679418385028839,
0.3534441590309143,
-0.5143920183181763,
-0.1557806134223938,
-0.45656055212020874,
-0.3883269429206848,
1.2873468399047852,
0.8870441913604736,
0.9566510915756226,
-0.5842417478561401,
-0.8725743889808655,
-0.46740344166755676,
-0.799657940864563,
0.19686061143875122,... |
Definition: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Input: [45, -2, 41, -29]
Output: | [-2, 41, -29] | 2 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
-0.16830164194107056,
0.13517236709594727,
-0.8196450471878052,
-0.46603071689605713,
0.19021934270858765,
0.2841684818267822,
1.1526637077331543,
0.02075955644249916,
-0.15929928421974182,
-0.12509334087371826,
-0.8942903280258179,
0.40825897455215454,
0.12402020394802094,
-0.483228683471... |
You will be given a definition of a task first, then some input of the task.
A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
پرساد بھارتی، ہندوستان اور ارجنٹینا کے میڈیا کے فیڈرل سسٹم اور عوامی موادات کے... | MOU on Cooperation and Collaboration between Prasar Bharti, India and the Federal System of Media and Public Contents, Argentina Mr. | 1 | NIv2 | task1058_pib_translation_urdu_english | zs_opt | [
-0.5603070855140686,
0.5784879922866821,
-0.38927358388900757,
0.0037596807815134525,
-0.4848979711532593,
0.41474828124046326,
1.4954386949539185,
0.2580135464668274,
-0.15879365801811218,
-0.5602008104324341,
-0.3028066158294678,
0.10417192429304123,
-0.10402858257293701,
0.8169537782669... |
Part 1. Definition
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Part 2. Example
Comment: Enoug... | Non-threat | 7 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.4997377395629883,
0.8822224140167236,
0.6484588980674744,
0.17523910105228424,
0.00936727225780487,
-1.0198370218276978,
0.8793630003929138,
1.0007705688476562,
0.5688197016716003,
0.3718924820423126,
-0.12106489390134811,
-0.04399944096803665,
-0.6546865701675415,
-0.8821735382080078,
... |
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... | ac
| 1 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
-0.5152493715286255,
-0.11884105205535889,
0.36542564630508423,
0.07611702382564545,
-0.10899621248245239,
-0.159162700176239,
0.16929109394550323,
0.898347020149231,
-0.05905981734395027,
0.33772358298301697,
-0.7517781257629395,
-0.45818156003952026,
0.4931322932243347,
-0.46086668968200... |
Detailed Instructions: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Problem:High-frequency alleles and/or co-occurring human leukocyte antigen (HLA) alleles across loc... | Comprehensive identification of high-frequency and co-occurring Mafa-B, Mafa- DQB1, and Mafa-DRB alleles in cynomolgus macaques of Vietnamese origin | 8 | NIv2 | task1161_coda19_title_generation | zs_opt | [
-0.029804153367877007,
0.036699872463941574,
-0.9347412586212158,
0.0040476322174072266,
0.221305713057518,
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-0.8368639349937439,
0.2807830572128296,
-0.4013090431690216,
0.6842334270477295... |
Definition: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it conne... | No | 2 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
0.08327122032642365,
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-0.31258425116539,
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-0.3588528037071228,
-0.28114110231399536,
-0.10525143146514893,
0.0697073340415954... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Input: Consider Input: Comment: He has admitted ... | Output: Non-threat
| 2 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.5020520091056824,
0.7972005605697632,
0.6037722826004028,
0.15511813759803772,
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-0.3453449010848999,
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-0.015044602565467358,
0.20839935541152954,
-0.6816144585609436,
-0.6186935901641846,... |
Given the task definition and input, reply with output. 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 p... | Not sad | 5 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | zs_opt | [
-1.5087069272994995,
0.370883047580719,
1.504905343055725,
-0.33993422985076904,
0.4536409080028534,
-0.7135890126228333,
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0.24515965580940247,
-0.17580080032348633,
-0.17043305933475494,
-0.769199013710022,
-0.055956363677978516... |
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
| 5 | NIv2 | task1200_atomic_classification_xeffect | fs_opt | [
0.4664880037307739,
0.25961780548095703,
0.30285266041755676,
-0.38806524872779846,
-0.5587505102157593,
-0.7026668787002563,
1.2871062755584717,
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-0.15165475010871887,
-0.39477598667144775,
-0.6548131704330444,
-0.3277170658111572,
-0.7573953866958618,
0.055275432765483... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Problem:Pamiętacie George 'a Busha? "" Na-ktu-ra-lny "". Słucham? "" Na-ktu-ra-lny "". (Śmiech) Czy umiesz powiedzieć "" nokturalny ""? "" Nukleturalny "". (Śmiech) Dziękuję bardzo.
Solution: | Vi ricordate? George Bush, "" Un nu-ca-ler. "" Scusa, cosa? "" Un nu-ca-ler. "" (Risate) Riuscite a dire "" condiscendente ""? "" condidescente. "" (Risate) Grazie tante. | 8 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.5008679628372192,
0.7696332931518555,
0.07788453996181488,
0.020124617964029312,
-0.81146639585495,
-1.5410252809524536,
1.216213583946228,
0.17491185665130615,
0.27645185589790344,
-0.26649338006973267,
-1.0063366889953613,
0.4089834988117218,
-0.4227893352508545,
-0.3438819646835327,
... |
Q: 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 c... | bc | 7 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
-0.8028603196144104,
0.8088322877883911,
0.06459859758615494,
-0.4898611605167389,
-0.04525033384561539,
-0.5183265209197998,
0.4004637598991394,
0.9392964839935303,
-0.2501611113548279,
0.40257981419563293,
-0.09766259789466858,
0.02557443454861641,
-0.3815394639968872,
-0.384898185729980... |
This task is to translate a news commentary given in French language into Russian 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.
Let me give you an example: L’or à 10.000 dollars l’once\xa0... | Тем не менее, несмотря на то, что обе стороны, по-видимому, занимают непримиримую позицию, пока еще есть время на то, чтобы найти компромиссное решение. | 8 | NIv2 | task1377_newscomm_translation | fs_opt | [
-0.12378523498773575,
0.846990168094635,
-0.4871983230113983,
0.020281706005334854,
-0.13329538702964783,
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0.41761648654937744,
1.228478193283081,
0.34251612424850464,
-0.601860761642456,
-0.6058369874954224,
-0.3224993944168091,
-0.3633965849876404,
-0.1119160354137420... |
Part 1. Definition
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") ... | [-474, -141, 333] | 7 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.4912058711051941,
-0.00710436562076211,
-0.25510385632514954,
-0.4658207893371582,
-0.12273525446653366,
0.42965519428253174,
1.042326807975769,
0.08233502507209778,
-0.42504894733428955,
0.3551115393638611,
-0.7387279272079468,
-0.06793119013309479,
-0.29077640175819397,
-0.32313364744... |
You will be given a definition of a task first, then some input of the task.
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 i... | not | 1 | NIv2 | task386_semeval_2018_task3_irony_detection | zs_opt | [
-1.484560489654541,
0.5221375823020935,
0.7039380073547363,
-0.016016392037272453,
-0.436695396900177,
0.24408230185508728,
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-0.13711218535900116,
-0.22166310250759125,
-0.2906982898712158,
-0.6171846389770508,
0.1958104968070984,
... |
Given the task definition, example input & output, solve the new input case.
In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table m... | SELECT StuID FROM Has_allergy GROUP BY StuID HAVING count(*) >= 2 | 1 | NIv2 | task107_splash_question_to_sql | fs_opt | [
0.718956708908081,
0.653525710105896,
-1.0562044382095337,
0.5482237339019775,
-0.04996861517429352,
-0.22430911660194397,
0.6446205377578735,
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-0.15246683359146118,
0.08921609818935394,
0.29678547382354736,
0.569212019443512,
-0.01707630604505539,
0.1317870020866394,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common s... | Unrelated | 1 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
-0.160810649394989,
0.3649156093597412,
-0.4276878833770752,
0.4413033127784729,
0.0018763861153274775,
0.09685423225164413,
0.4118152856826782,
1.062175989151001,
0.503333330154419,
-0.46064019203186035,
-0.603985071182251,
0.05765590816736221,
-0.36200177669525146,
-0.38776078820228577,
... |
The task is to generate the correct answer for a given math problem.
[EX Q]: Problem: the sum of the squares of the first 15 positive integers ( 1 ^ 2 + 2 ^ 2 + 3 ^ 2 + . . . + 15 ^ 2 ) is equal to 1240 . what is the sum of the squares of the second 15 positive integers ( 16 ^ 2 + 17 ^ 2 + 18 ^ 2 + . . . + 30 ^ 2 ) ?
... | 2 / 21
| 6 | NIv2 | task1726_mathqa_correct_answer_generation | fs_opt | [
-0.0822862833738327,
0.456825852394104,
-0.4093860983848572,
-0.1831972301006317,
-0.0691601037979126,
0.48610395193099976,
0.5315160751342773,
0.46496349573135376,
0.36059844493865967,
-0.4310511350631714,
-0.3937678933143616,
0.6573542356491089,
-0.3480055332183838,
-0.6946398019790649,
... |
Detailed Instructions: A question is presented to you in this task, and your job is to write a potentially correct answer.
See one example below:
Problem: where did france surrender ww2?
Solution: Mediterranean Sea
Explanation: This is a good example and the output correctly answers the question.
Problem: where is gre... | Western Cape | 4 | NIv2 | task1412_web_questions_question_answering | fs_opt | [
-0.5908647775650024,
0.39969855546951294,
-0.34853705763816833,
-0.9784305095672607,
-0.3025333285331726,
-0.7863044738769531,
0.601660966873169,
-0.391230046749115,
0.6822755336761475,
0.04861127585172653,
-0.28027695417404175,
0.45548802614212036,
-0.4638502597808838,
0.00567356962710619... |
Q: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
Portanto, é na verdade uma interface multi-dimensional.
A: | Así que en realidade é unha interface de usuario multidimensional. | 7 | NIv2 | task1279_ted_translation_pt_gl | zs_opt | [
-0.8541680574417114,
0.9053036570549011,
0.30703234672546387,
-1.008004903793335,
-0.23964035511016846,
0.12195312231779099,
0.22527596354484558,
0.08063429594039917,
1.0104224681854248,
-0.1610015630722046,
-0.2541162073612213,
0.6396601796150208,
-0.010089071467518806,
0.8014559745788574... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | A man is on stage.
| 3 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.2333582043647766,
1.0388574600219727,
0.1284835785627365,
-0.9708762764930725,
0.07432025671005249,
-0.28985315561294556,
0.30281057953834534,
0.5454411506652832,
0.6726866960525513,
-0.3842613399028778,
-0.9271526336669922,
-0.30166637897491455,
-0.3337442874908447,
-0.1435345262289047... |
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
[Q]: Japanese: Ng'aniがBBCで技術と経験がある他の労働者を見つけることの難しさを述べる一方で、伝えられるところでは、ムトゥアはこのことは問題ではないと述べた。
Lao: ຫຼາຍກວ່າ 300 ຄ... | Yes
| 5 | NIv2 | task1126_alt_ja_lo_answer_generation | fs_opt | [
-0.38554295897483826,
-0.14892756938934326,
-0.010175693780183792,
-0.07203705608844757,
-0.044907163828611374,
-0.9871820211410522,
0.38575831055641174,
0.5481258034706116,
-0.7126518487930298,
-0.151032954454422,
0.05783471465110779,
0.44261616468429565,
-0.6991782188415527,
0.1907379925... |
Definition: 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 defini... | no | 2 | NIv2 | task211_logic2text_classification | zs_opt | [
-0.14134377241134644,
-0.26034867763519287,
-0.2289416491985321,
0.3222084641456604,
0.3456597328186035,
-0.459113210439682,
0.1635914444923401,
0.5852631330490112,
0.320639431476593,
-0.14313536882400513,
-0.2997414469718933,
0.014000208117067814,
0.2186203896999359,
0.3817620575428009,
... |
Part 1. Definition
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Part 2. Example
É basicamente un caldeiro que rota.
Answer: ويوجد أساسا مرجل دوار.
Explanation: The Galician sentence is correctly translated into Arabic, because the meaning is preserved.
Part 3. Exerci... | جوسلين بلوش: القوانين واللوائح هي أكبر العقبات. (ضحك) لذلك ، ومن هذه النتائج المثيرة ، أنت بحاجة لتعبئة حوالي كيلوغرامين من الأوراق والنماذج والاستمارات لكي تستطيع القيام بهذا النوع من التجارب. | 7 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
0.0507902130484581,
0.7096967697143555,
0.10892755538225174,
-1.0206758975982666,
0.19858014583587646,
0.2481754571199417,
1.357106328010559,
-0.30580005049705505,
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-0.7973029613494873,
-0.5470608472824097,
-0.7591584324836731,
0.34360116720199585,
... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on... | Changed
****
| 4 | NIv2 | task515_senteval_odd_word_out | fs_opt | [
-0.44722795486450195,
1.2004296779632568,
0.43387100100517273,
-0.487506240606308,
-0.009673168882727623,
-0.5891919136047363,
0.5281902551651001,
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-0.13573816418647766,
-0.39621585607528687,
-0.6275122761726379,
-1.3368067741394043,
-0.05818769708275... |
Detailed 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 ... | What is often above the forestry? | 9 | NIv2 | task074_squad1.1_question_generation | zs_opt | [
0.4572179615497589,
0.41886836290359497,
-0.31203600764274597,
-0.5852612257003784,
0.13514336943626404,
-1.357551097869873,
0.5173971056938171,
0.7831212878227234,
-0.07720682770013809,
0.0034776602406054735,
-0.9267511367797852,
-0.22457842528820038,
-1.1136568784713745,
0.09151421487331... |
Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, Geopolitic... | Political | 3 | NIv2 | task1494_bengali_hate_speech_classification | zs_opt | [
-0.760789692401886,
0.28223371505737305,
0.273407518863678,
0.5620530247688293,
-0.5126150846481323,
-0.16832120716571808,
0.8181503415107727,
0.1485264003276825,
-0.17718876898288727,
-0.09214786440134048,
-0.8025535345077515,
0.2010508030653,
0.1607271134853363,
-0.33132460713386536,
0... |
In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Context: @finaidfool I'm not a crass ... | what does he congratulate them on?
| 0 | NIv2 | task240_tweetqa_question_generation | fs_opt | [
-0.1084078997373581,
0.3080785572528839,
-0.06829766929149628,
0.06435506045818329,
0.13319441676139832,
-1.013284683227539,
0.16654355823993683,
0.6873971223831177,
-0.5936243534088135,
-0.0001326542696915567,
-0.46832841634750366,
-0.13792593777179718,
-0.5114474296569824,
-0.03484964743... |
Instructions: In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's t... | False | 3 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.2164190113544464,
0.934282124042511,
-0.22358641028404236,
-0.3252195715904236,
-0.4146215617656708,
-0.4069784879684448,
1.1474990844726562,
-0.22819744050502777,
0.6322075724601746,
0.16650617122650146,
-0.5729220509529114,
0.7791271209716797,
-0.46212804317474365,
0.12851299345493317... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Q: And I'll just play you part of a mockup of it, but you get a sense of what it's like to actually enter into that moment in time and be transported back in history.
A: | E vou só passar uma parte do modelo disso mas conseguem ter uma ideia do que é entrar nesse momento no tempo e ser-se transportado para trás na História. | 9 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
-0.4457048773765564,
0.5513449907302856,
0.13358354568481445,
-0.1160845011472702,
-0.4046778380870819,
-0.7053990364074707,
0.17895567417144775,
1.119037389755249,
0.16408729553222656,
0.2320202738046646,
0.06634972989559174,
0.12296369671821594,
-0.27210795879364014,
0.0902433842420578,
... |
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Example input: I have bought several of the Vitality canned dog food p... | 5 | 3 | NIv2 | task588_amazonfood_rating_classification | fs_opt | [
0.2134237438440323,
-0.3019667863845825,
-0.2623416781425476,
0.10219796746969223,
0.4113816022872925,
-0.23772653937339783,
0.31769007444381714,
1.277274250984192,
-0.09274281561374664,
0.0013772783568128943,
-0.1512484848499298,
-0.20398563146591187,
-0.5141174793243408,
0.09854258596897... |
instruction:
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 addi... | strengthener
| 9 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
0.028894972056150436,
0.07492424547672272,
-1.0382909774780273,
-0.13624326884746552,
-0.0074996259063482285,
-0.8183823823928833,
0.509586751461029,
1.1500335931777954,
0.7627320289611816,
-0.4403407871723175,
-0.9393818378448486,
0.5743327736854553,
-0.5620472431182861,
-0.31105595827102... |
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: nwamba na ụmụ oke (n'agbanyeghị na Malice) - ụdị asọmpi asọmpi; | 5 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
-0.11642743647098541,
0.7071832418441772,
0.3101269602775574,
-0.019495965912938118,
0.3927728235721588,
-0.9479866027832031,
0.17283660173416138,
0.2038445770740509,
-0.03777596354484558,
-0.39140045642852783,
-0.47560206055641174,
0.5257516503334045,
-1.082608699798584,
-0.24793906509876... |
TASK DEFINITION: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
PROBLEM: Context: The films ... | Answer: none
| 8 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
-0.16071827709674835,
0.5343098640441895,
0.2545704245567322,
0.029715292155742645,
0.21650895476341248,
0.09363766759634018,
0.5347380638122559,
1.4296207427978516,
-0.8435196280479431,
-0.14024393260478973,
-0.29111558198928833,
0.5236494541168213,
-0.6247314810752869,
0.0789981484413147... |
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the ... | A boy sprays a hose. | 3 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-1.0234241485595703,
0.9049246907234192,
0.4530278146266937,
-0.6324008703231812,
0.05961264669895172,
-0.7008715271949768,
-0.33330219984054565,
0.5719848871231079,
0.3293604254722595,
-0.37683337926864624,
-0.3316064476966858,
-0.36255374550819397,
-0.13319620490074158,
-0.13254551589488... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
One example: Person1: Passport , please , madam .
Person2: Just a minute , please . It's in my bag . Here it is .
Pe... | 0 | 6 | NIv2 | task1534_daily_dialog_question_classification | fs_opt | [
0.4792756736278534,
-0.09766827523708344,
-0.33604782819747925,
0.17500218749046326,
0.3611626923084259,
-0.7273054122924805,
0.30727440118789673,
0.24541394412517548,
-0.05399267375469208,
-0.007316870149224997,
-0.205729678273201,
-0.2681347727775574,
-0.6453039050102234,
0.1210720092058... |
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 in Chinese.
Example input: 昌宁县人民检察院指控，2014年4月19日下午16时许，被告人段某驾拖车经过鸡飞乡澡塘街子，时... | 拐卖[妇女、儿童] | 3 | NIv2 | task1667_cail2018_answer_generation | fs_opt | [
0.7576258182525635,
0.33877289295196533,
-0.5829404592514038,
0.046552859246730804,
-0.16625356674194336,
0.1785452961921692,
0.43859314918518066,
1.0730652809143066,
-0.3673476576805115,
0.10765845328569412,
-0.40777209401130676,
0.6344738602638245,
0.0017064623534679413,
0.04766275733709... |
Instructions: In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's ques... | user | 3 | NIv2 | task1599_smcalflow_classification | zs_opt | [
-0.011027136817574501,
0.6210108995437622,
-0.3420447111129761,
0.0874873623251915,
-0.45337605476379395,
0.1102576032280922,
0.40545785427093506,
-0.33527830243110657,
0.3599889874458313,
-0.14561569690704346,
-0.2548415958881378,
-0.06947679072618484,
-0.5567317605018616,
0.2318775504827... |
Q: In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Sentence: 'a brick church with a motorcycle parked in front'. How many words end with the letter 'h' in the sentence.
A: | 2 | 7 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
0.17945170402526855,
0.382061243057251,
0.10799123346805573,
-0.2616632580757141,
-0.7982387542724609,
-0.41661763191223145,
0.06368262320756912,
0.13003236055374146,
0.8252941370010376,
-0.6940973997116089,
-0.8015989661216736,
-0.251173198223114,
0.3900885581970215,
0.11866360902786255,
... |
Q: In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Article: Unconventional in every way, Edward Estlin Cummings ... | Cummings was chiefly famous as _ . | 7 | NIv2 | task649_race_blank_question_generation | zs_opt | [
1.2875971794128418,
0.39799875020980835,
-0.22461563348770142,
-0.0809563621878624,
0.5381413102149963,
-1.1018404960632324,
0.30634206533432007,
0.4655420184135437,
-0.30214911699295044,
0.1409158706665039,
-0.7472965717315674,
0.8720525503158569,
-0.7762970924377441,
0.014679942280054092... |
Detailed Instructions: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Y... | No | 8 | NIv2 | task227_clariq_classification | zs_opt | [
-0.5331934690475464,
0.35641810297966003,
-0.7067382335662842,
0.07378092408180237,
-0.21729086339473724,
-1.3346915245056152,
0.0009774321224540472,
0.515470027923584,
-0.025027306750416756,
0.6879269480705261,
0.4600609838962555,
-0.1080201119184494,
-0.11726288497447968,
0.0033313627354... |
Detailed Instructions: 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. Please answer with "Contradiction", "Neutral", or "Entailment".
Q: Premise: Akka (Tami... | Contradiction | 9 | NIv2 | task1386_anli_r2_entailment | zs_opt | [
-0.08301440626382828,
0.48311305046081543,
0.15346284210681915,
-0.03179227188229561,
0.1942736804485321,
-0.539111316204071,
0.6337823867797852,
0.3377017378807068,
0.06863019615411758,
0.08267006278038025,
-0.580765426158905,
0.2923496961593628,
-0.5906969904899597,
0.050712700933218,
... |
Detailed Instructions: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original... | Original | 9 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.6550573110580444,
1.1675162315368652,
0.1631494015455246,
-0.313626229763031,
-0.4998648166656494,
-0.2280835509300232,
0.18112891912460327,
0.2233293652534485,
0.4060555100440979,
0.018464263528585434,
-0.19800543785095215,
-0.40363919734954834,
-0.5055794715881348,
0.8826428651809692,... |
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... | Megan was astounded to find a bird that was thought to be extinct.
****
| 4 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.08668266981840134,
0.9199672341346741,
-0.37199580669403076,
-0.8417674899101257,
-0.24121065437793732,
-0.1372842937707901,
-0.16958528757095337,
0.21711191534996033,
-0.17496483027935028,
-0.15768061578273773,
-0.5129654407501221,
-0.07123224437236786,
-0.015034206211566925,
-0.310852... |
Q: In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Which school did the player born on December 9 , 1976 play for ?
A: | NU | 7 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
-0.20076192915439606,
1.076446771621704,
-0.14892929792404175,
-0.1621454507112503,
-0.3136342167854309,
-0.487504780292511,
-0.1541971117258072,
0.06837489455938339,
-0.04701145365834236,
-0.26875418424606323,
0.1884104609489441,
0.22833094000816345,
-1.2816637754440308,
-0.43105986714363... |
In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
Q: Question: In a clinical trial, the non-inferiority of the HDP-MDI inhaler (experimental) was evaluated against the FDC-ELIPTUS inhaler (control... | 3 | 4 | NIv2 | task1431_head_qa_answer_generation | zs_opt | [
0.028581922873854637,
-0.21170981228351593,
-0.19790980219841003,
-0.3224183917045593,
0.5448654890060425,
-1.083295226097107,
0.3859047293663025,
0.6077045202255249,
0.24060893058776855,
0.018603641539812088,
-1.1274325847625732,
-0.22589805722236633,
0.2057916820049286,
-0.13540709018707... |
Given the task definition and input, reply with output. In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answ... | started | 5 | NIv2 | task390_torque_text_span_selection | zs_opt | [
-0.09751003980636597,
0.3213141858577728,
-0.17047417163848877,
0.3457646369934082,
-0.2684417963027954,
-0.09104448556900024,
0.9073499441146851,
0.593904435634613,
-0.2072448432445526,
0.29876142740249634,
-0.3450572192668915,
0.19825540482997894,
-0.7279532551765442,
0.29695817828178406... |
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
| 7 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.5618937611579895,
0.811751127243042,
-0.29296475648880005,
0.2322796732187271,
-0.10116083920001984,
-0.18008945882320404,
1.117356300354004,
0.5016021132469177,
0.381596177816391,
0.014176702126860619,
-0.6359684467315674,
0.6573770642280579,
-0.8361432552337646,
0.15976452827453613,
... |
Q: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
passage: Eastbound vehicles must pay a toll to cross the bridge; as with all Hudson River crossings along the North River, westbound vehicles cross for free. As ... | No | 7 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
0.11142638325691223,
-0.3813289999961853,
0.13884100317955017,
0.9511056542396545,
0.20442821085453033,
-0.4078911542892456,
0.036763746291399,
0.8176635503768921,
-0.3392508029937744,
0.39898017048835754,
0.16355013847351074,
-0.3849330544471741,
-0.10271713137626648,
0.02553015574812889,... |
Q: The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please bear in mind the follo... | Although I am a Buddhist, I respect them for the strength of their faith—a faith that allowed their many martyrs under Nazism not to fail in their religious convictions and even to sacrifice themselves so as not to renounce their religion. | 7 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.387237548828125,
0.050760239362716675,
-0.008129915222525597,
0.24865151941776276,
0.13299435377120972,
-0.976762592792511,
0.2935710847377777,
0.41686928272247314,
-0.10176244378089905,
-0.21422147750854492,
-0.26448068022727966,
0.21716544032096863,
-0.23295629024505615,
0.17386934161... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in 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 there, FW: Foreign word, IN: Preposi... | Output: WP VBZ DT JJ NN IN NNP IN DT NN WDT VBZ JJ IN NNP CC NNP TO NNP .
| 2 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
-0.06604614108800888,
0.6242652535438538,
-0.3541107475757599,
0.33890223503112793,
-0.4271693825721741,
-0.3992447257041931,
0.9737990498542786,
0.29673102498054504,
-0.1007373109459877,
-0.16230298578739166,
-0.28381437063217163,
0.31478285789489746,
-0.5068538188934326,
-0.1095037087798... |
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