inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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 ... | Yes | 0 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.3021746873855591,
-0.13709387183189392,
0.28989043831825256,
0.18112783133983612,
-0.01284022442996502,
-0.8937841653823853,
0.8538200855255127,
0.6313954591751099,
-1.0168628692626953,
-0.12252888828516006,
-0.10699579864740372,
-0.4057661294937134,
-0.4173368811607361,
0.20373974740505... |
Instructions: 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.
Input: Category: THE WRITE BROTHERS
Clue: In this family, William wrote "Human I... | james | 3 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-1.0649502277374268,
0.9582439661026001,
0.23884710669517517,
-0.06865888833999634,
-0.18004649877548218,
-1.0298513174057007,
0.272524356842041,
-0.11245173215866089,
0.808884859085083,
-0.6746225357055664,
-0.13780665397644043,
0.049441080540418625,
-0.33480918407440186,
-0.4140184521675... |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closes... | Sports
| 0 | NIv2 | task379_agnews_topic_classification | fs_opt | [
0.05343010276556015,
0.42419880628585815,
-0.6201735138893127,
0.18766577541828156,
0.18667861819267273,
0.8283411860466003,
0.21327051520347595,
-0.04331482946872711,
0.49881112575531006,
0.11818616092205048,
-0.5819836854934692,
0.4824103116989136,
-0.5786749720573425,
-0.237462654709815... |
You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Example: How many miles is 43560 ?
What is the national currency of Albania ?
What is the status of the draft today in US ?
Wh... | Solution: Quotes about landscaping ? | 5 | NIv2 | task674_google_wellformed_query_sentence_generation | fs_opt | [
0.229861781001091,
0.5370229482650757,
-0.15166839957237244,
0.02312002144753933,
-0.6933766007423401,
-0.27165329456329346,
0.7906398773193359,
-0.4905737042427063,
-0.21008622646331787,
-0.7533314228057861,
-0.4857204258441925,
0.0061959512531757355,
-0.02765527181327343,
-0.315277427434... |
Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear view tow... | Neutral | 4 | NIv2 | task420_persent_document_sentiment_classification | zs_opt | [
-0.11863750219345093,
0.5484046936035156,
0.09953272342681885,
1.1423571109771729,
0.02556970715522766,
-0.6365973949432373,
0.5505301356315613,
1.2823998928070068,
0.3355715870857239,
0.16646064817905426,
-0.10020717233419418,
0.8384345769882202,
0.136924147605896,
-0.3474460244178772,
... |
Q: Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, ... | weather | 7 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
-0.13326753675937653,
0.5267816781997681,
-0.49021583795547485,
-0.13302916288375854,
0.1892549991607666,
-0.16568833589553833,
-0.2642919421195984,
0.39188623428344727,
0.3683723211288452,
0.07478781044483185,
0.06995287537574768,
0.12202732264995575,
-0.5163109302520752,
-0.4261793494224... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Q: ובכן, כיצד קהילת TED יכולה לעזור במצב זה?
A: | Well, how can the TED community help with this situation? | 9 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.8502516746520996,
0.6930736303329468,
0.38472118973731995,
-0.4533833861351013,
0.8654844164848328,
-1.0858027935028076,
0.35823941230773926,
0.33756309747695923,
0.7853960990905762,
0.13431908190250397,
0.41372066736221313,
-0.3161228597164154,
-1.1671329736709595,
-0.36350250244140625... |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Input: Tweet: @Pepper_Redbone @Yankees @Mets Oh yeah. And the annoying damn du... | true | 2 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-1.70775306224823,
0.009826401248574257,
-0.1754109412431717,
0.631425142288208,
-0.6824663877487183,
-0.5547745823860168,
0.3691977560520172,
0.16565650701522827,
0.9199464321136475,
0.3440687656402588,
-0.638437807559967,
-0.10041365027427673,
-0.5230548977851868,
-0.36081281304359436,
... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Example: Media łączyły się z nami.
Output: Os "" media "" interligavam-se connosco.
The Polish sentence is correctly translated into Portugese, be... | Mas se eu não posso fazê-lo, ao ver algumas das minhas irmãs estudarem, o meu sonho concretiza-se. | 1 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
-0.43405842781066895,
1.0765005350112915,
0.06082180142402649,
-0.40627989172935486,
-0.328894704580307,
0.2734737992286682,
0.30537301301956177,
0.49573028087615967,
0.24863304197788239,
-0.341383695602417,
-0.07528224587440491,
0.2598079741001129,
-0.5063542127609253,
-0.0255934968590736... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Q: Igbo sentence: Mgbe a izu nke ọrụ, anyị otu kere a ngwá ọrụ [...]
A: After a week of work, our team created a cheat tool [...]
****
Q: Igbo sentence: 7 Echiche Ụgha Banyere Mmekọahụ Ma ... | TPP is a free trade agreement which was followed by seventeen countries in Asia-Pacific were also followed by some ASEAN countries, namely Malaysia, Singapore, Brunei, and Vietnam.
****
| 4 | NIv2 | task449_opus_paracrawl_ig_en_translation | fs_opt | [
-0.4510180354118347,
0.40363746881484985,
0.03673672676086426,
0.0728347972035408,
0.34176400303840637,
-0.30837246775627136,
-0.2678164541721344,
0.8696014881134033,
-0.3688058853149414,
0.12402229011058807,
-0.1589515507221222,
-0.23801912367343903,
-0.0890561193227768,
-0.36154046654701... |
In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes", "No".
Q: Text: Dołączony pojemnik z czyścikiem lata luźno w podstawce (prz... | Yes
****
| 4 | NIv2 | task635_allegro_reviews_answer_generation | fs_opt | [
-0.44349056482315063,
0.3721722960472107,
-0.21754729747772217,
0.5321049690246582,
0.2432829588651657,
-1.0970878601074219,
0.8266787528991699,
0.45911937952041626,
0.015886925160884857,
0.2937283515930176,
-0.012054781429469585,
0.534081757068634,
-0.2961059510707855,
-0.0018287803977727... |
Given the task definition and input, reply with output. You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
وتقول انه 0.9.. ليس تقدم جيد ولكن هذا غير عادل
| Eles dizem "" 0,9%, não há progresso. "" É injusto. | 5 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
-0.8172371983528137,
1.1472853422164917,
0.229712575674057,
-0.2840055227279663,
-0.3456957936286926,
0.7154723405838013,
-0.1459943652153015,
0.27522745728492737,
0.6970634460449219,
-0.1635669767856598,
-0.9178422093391418,
0.12605020403862,
-1.1077371835708618,
0.5351531505584717,
0.8... |
Detailed Instructions: In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D".... | B | 9 | NIv2 | task309_race_answer_generation | zs_opt | [
0.25305771827697754,
0.606513261795044,
-0.4594012498855591,
-0.2654969394207001,
0.813892126083374,
0.11971531063318253,
0.9546233415603638,
0.46970659494400024,
-0.3014346957206726,
-0.007494248915463686,
-0.8123542070388794,
0.5147324800491333,
-0.16630059480667114,
0.166934996843338,
... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Ex Input:
They resume playing and jumping.
Ex Output:
The ball comes around behind the players.
Ex Input:
A man with a green and white umbrella taunts a black bull on a rope whil... | The lady in stripes shirt reach for the girl in white shirt.
| 1 | NIv2 | task455_swag_context_generation | fs_opt | [
0.17392811179161072,
1.3046241998672485,
-0.706978440284729,
0.009877306409180164,
-0.5083984732627869,
-0.28131821751594543,
0.1335434913635254,
0.849321186542511,
-0.10668912529945374,
0.056727103888988495,
-0.5765793323516846,
1.0870765447616577,
-0.5980033874511719,
-0.0382437072694301... |
You will be given a definition of a task first, then some input of the task.
Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer us... | Are responses in Rat Core Auditory Cortex Preserved during Sleep Spindle Oscillations? | 1 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.5050841569900513,
0.555383563041687,
-0.11798932403326035,
-0.04870203882455826,
-0.40780794620513916,
0.12064991891384125,
0.29426488280296326,
0.5564131140708923,
0.08508859574794769,
0.08064280450344086,
-0.5451959371566772,
0.0029391772113740444,
-0.875126838684082,
-0.50657671689987... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Example input: For four years we have wait... | Aaron Hernandez | 3 | NIv2 | task339_record_answer_generation | fs_opt | [
-0.28631696105003357,
0.2980096638202667,
-0.6615573763847351,
0.3578774631023407,
-0.2935352325439453,
0.5495092868804932,
0.26309502124786377,
0.8646693229675293,
-0.12903863191604614,
0.7069758176803589,
-0.02480960264801979,
0.6938492059707642,
-0.6488063335418701,
0.3959619104862213,
... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
ほんの1ヶ月前 1月29日に私たちはこの車を初披露しました有名なデイトナ国際スピードウェーで行われた Rolex 24レースでのことです
| E apenas há um mês, a 29 de Janeiro, demonstrámos este veículo pela primeira vez em público na mundialmente famosa Daytona International Speedway durante o evento de corridas Rolex 24. | 5 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
-0.05758079141378403,
0.049406930804252625,
0.27060508728027344,
0.17743170261383057,
-0.5708115696907043,
-0.3912326395511627,
-0.7701703310012817,
0.8447563052177429,
0.5139408111572266,
-0.42544758319854736,
-0.7953893542289734,
0.4735497236251831,
0.24210402369499207,
-0.11895966529846... |
Detailed Instructions: You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or t... | i be free but without christ i be bound the thought i have start to look at the cross for the sin that the price be pay for i now can choose the choice but im bind without christ when the tail break my sin be forgive i be now worthy to be call the child of the almighty one im free im without christ in my life i be boun... | 8 | NIv2 | task1711_poki_text_generation | zs_opt | [
-0.717272162437439,
1.4954497814178467,
0.5035960078239441,
-0.9832810759544373,
-0.3763328194618225,
-0.5197624564170837,
0.95166015625,
0.533132016658783,
0.2302287518978119,
-0.3260323405265808,
-0.8422039747238159,
0.4230644106864929,
-1.2172608375549316,
-0.3303428888320923,
-0.1725... |
Part 1. Definition
A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence.
Part 2. Example
ഇന്ന് ഒരു വിദൂരസ്ഥ ഗ്രാമത്തിലെ പാവപ്പെട്ട പൗരന് തന്റെ അവകാശങ്ങള് നേടുന്നതിനായി ദീര്ഘദൂരം യാത്ര ചെയ്യേണ്ടതായോ ഇടനിലക... | بوندی ، اجمیر اور بیکانیر کے اضلاع میں پردھان منتری آواس یوجنا (شہری ) کے تحت پروجیکٹ | 7 | NIv2 | task1059_pib_translation_malayalam_urdu | fs_opt | [
-0.17891770601272583,
0.40745002031326294,
-0.17294439673423767,
-0.9376599788665771,
-0.1349613070487976,
-0.13385173678398132,
0.9448734521865845,
0.4517208933830261,
-0.6648824214935303,
-0.0002029474126175046,
-0.9078472852706909,
0.16531026363372803,
-0.24313445389270782,
-0.187775209... |
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 preceding the last i elements. i will always have a value less than the length of A.
One example is below.
Q: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
A: a, 34, f, 931, 7
Rationale: H... | 9729, y, r, Y, 6495, 8749, 279, C, X, B, 3695, F, D | 9 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.33902719616889954,
-0.1580968201160431,
-0.45226845145225525,
-0.5416057109832764,
-0.23517349362373352,
-0.33720430731773376,
0.6774245500564575,
0.2854999899864197,
-0.6037523746490479,
-0.2468719184398651,
-1.0692206621170044,
0.14666272699832916,
0.3654214143753052,
0.059736605733633... |
Teacher: You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes an... | No. | 2 | NIv2 | task050_multirc_answerability | fs_opt | [
-0.5741395354270935,
-0.1339409053325653,
0.08321426063776016,
-0.18144728243350983,
-0.6798770427703857,
-1.321678876876831,
0.3519996404647827,
0.7491053342819214,
-0.020217623561620712,
0.030781451612710953,
-0.1482784003019333,
0.22455571591854095,
-0.44771504402160645,
0.0021661629434... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
これがボランティアの方々と繋がるきっかけを与えてくれました | Così questo aggeggio mi mise in contatto con volontari e assistenti. | 0 | NIv2 | task1096_ted_translation_ja_it | zs_opt | [
-0.2087409943342209,
0.1801961064338684,
0.03635703772306442,
-0.008396181277930737,
-0.7261959910392761,
-0.9772350788116455,
0.43596404790878296,
0.5455016493797302,
0.49226129055023193,
-0.7531086206436157,
-0.45529526472091675,
0.1963241994380951,
-0.6674044132232666,
0.546129405498504... |
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: At the 2010 Wimbledon Championships... | Answer: 18 | 0 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
-0.49599388241767883,
0.5554335117340088,
-0.3553561270236969,
-0.25944918394088745,
-0.28519704937934875,
-0.04006790369749069,
0.06272955238819122,
0.42161452770233154,
0.49290889501571655,
0.030813226476311684,
-0.13175730407238007,
0.522627055644989,
-0.8290140628814697,
-0.39992785453... |
Part 1. Definition
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
Part 2. Example
['q', '31', 'a', 'd', '53', '85', 'p', '77']
Answer: 1, 3, 5, 7, 8
Explanation: Here, the numbers in the list ar... | 1, 2, 3, 4, 5, 6, 7, 8, 9 | 7 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | fs_opt | [
-0.05335478484630585,
0.17740176618099213,
-0.6430010795593262,
-1.1711413860321045,
0.021406471729278564,
0.5475558042526245,
1.0335866212844849,
-0.21580925583839417,
-0.2979920506477356,
0.5494168400764465,
-0.5825529098510742,
-0.10196499526500702,
-0.6550004482269287,
-0.2849969267845... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Who did the Han Chinese want to help the Khitan no I mean the Mongols fig... | What country has low income inequality and high presence of unions? | 0 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
-0.7078321576118469,
0.6565240621566772,
-0.13513042032718658,
-0.7170331478118896,
-0.09778057038784027,
-0.4101126194000244,
1.0763883590698242,
0.8531966209411621,
0.024101851508021355,
-0.016374461352825165,
-0.7199392914772034,
-1.0726771354675293,
-0.7295489311218262,
-0.056226767599... |
Detailed Instructions: In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
See one example below:
Problem: Katrina gave Christine a stuffed animal for their birthday, but _ already had this one. (A) Katrina... | A | 4 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.3699539303779602,
0.357668399810791,
-0.31663668155670166,
-0.4436359405517578,
0.052118998020887375,
-0.858490526676178,
0.35353589057922363,
1.0643866062164307,
-0.06075655668973923,
0.2660035789012909,
0.3415771424770355,
0.3862275779247284,
0.33029600977897644,
-0.05205906555056572,
... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
ingredients: '6 large onions, all of one variety (red, Vidalia, Spanish, etc.)', '6 tablespoons olive oil or clarified butter, (using regular butter may cause your onions to burn more easily)',<sep> directions: '... | How To Caramelize Onions | 0 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.5475491881370544,
0.9895359873771667,
-0.6878957152366638,
0.8224325180053711,
-0.3229956030845642,
0.3499525189399719,
0.6601755619049072,
1.3883495330810547,
-0.11434031277894974,
-0.3547702431678772,
-0.08901103585958481,
0.2575319707393646,
-0.3417298197746277,
0.0926387831568718,
... |
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "agai... | Solution: for | 5 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
-0.3155096173286438,
-0.29295581579208374,
-0.5741947889328003,
0.1786821186542511,
-0.1319466084241867,
-1.1811120510101318,
0.03314666822552681,
1.4191067218780518,
-0.5355907678604126,
0.2917889952659607,
-0.12903477251529694,
0.02177988737821579,
-0.7735489010810852,
-0.187215387821197... |
You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Example input: System Reference: there is a chinese restaurant on x called x.
Original Reference: x is a chinese re... | 0 | 3 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-0.034594230353832245,
0.8178166747093201,
-0.9592256546020508,
0.09729629755020142,
-0.45876872539520264,
-0.24492445588111877,
1.0279773473739624,
0.7041587829589844,
0.07393576949834824,
-0.6558029055595398,
-0.4128339886665344,
0.15639960765838623,
-0.27463605999946594,
0.1137668490409... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: Zastanawiałem się ostatnio: gdyby żył, jaką dałby mi radę w kwestii wystąpienia na TED.
Student: | 私は最近考えるんですもし彼が生きていて私がTEDで話すと聞いたらどんなアドバイスをしてくれるだろうって | 6 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-0.7063094973564148,
0.3646659851074219,
0.38282710313796997,
-0.33532339334487915,
0.2655574679374695,
-0.4100186228752136,
1.1555471420288086,
-0.13316600024700165,
-0.07828182727098465,
-0.2849908471107483,
0.5684922933578491,
0.06835349649190903,
-0.9471797943115234,
-0.355565994977951... |
Detailed Instructions: Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': ... | PRT | 9 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.2553306818008423,
0.40419572591781616,
-0.2723727226257324,
0.060230351984500885,
-0.25467145442962646,
-0.6508559584617615,
0.6994551420211792,
0.6078318357467651,
-0.5012683272361755,
-0.06992855668067932,
-0.5058009624481201,
0.26287713646888733,
-0.6943070888519287,
0.248925790190696... |
Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have t... | Yes | 6 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.45235586166381836,
0.23373177647590637,
0.522020697593689,
-0.3381941616535187,
-0.658158540725708,
-0.7631670236587524,
1.589395523071289,
-0.06472575664520264,
-0.7303174734115601,
-0.23762576282024384,
-0.46958935260772705,
-0.015189364552497864,
-0.946319043636322,
0.3872070908546448... |
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Ex Input:
Context_1 : The 2014 season for Movistar Team began in January at the Tour de San Luis. As a UCI P... | American
| 1 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.4846574366092682,
0.07481774687767029,
-0.9884153008460999,
0.6103533506393433,
0.6111524701118469,
-0.1801217943429947,
-0.08188148587942123,
0.8813707828521729,
-0.278522789478302,
-0.0004924028180539608,
-0.2238919883966446,
0.6205099821090698,
-0.022436238825321198,
0.445664614439010... |
Definition: 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 ... | majority | 2 | NIv2 | task212_logic2text_classification | zs_opt | [
0.0661940649151802,
-0.39626041054725647,
-0.4239177405834198,
0.34403008222579956,
0.43627291917800903,
-0.5939565300941467,
0.6648621559143066,
0.5312765836715698,
0.47380733489990234,
-0.027341503649950027,
-0.12588734924793243,
0.08690617978572845,
0.004857012536376715,
0.5126154422760... |
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
Let me give you an exa... | False | 8 | NIv2 | task494_review_polarity_answer_generation | fs_opt | [
-0.2302016019821167,
-0.2980225086212158,
0.027618806809186935,
0.6669183969497681,
0.34248560667037964,
-0.5126179456710815,
0.3111259639263153,
0.28422755002975464,
0.11038895696401596,
0.27253788709640503,
-0.13895320892333984,
0.1506231278181076,
-0.5225464105606079,
-0.584244370460510... |
Given the task definition and input, reply with output. Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be i... | resistance | 5 | NIv2 | task592_sciq_incorrect_answer_generation | zs_opt | [
-0.4825912117958069,
1.3737661838531494,
0.2889130115509033,
0.2664524018764496,
-0.30342018604278564,
-0.7105499505996704,
0.20696906745433807,
0.38699495792388916,
0.12605267763137817,
-0.3402499556541443,
-0.8859809637069702,
0.06829306483268738,
-0.3987943232059479,
-0.2644747793674469... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
That didn't happen before. There it goes.
それまでなかったことです
So, how would we make it?
それでどうやって作るのでしょうか ？
MT: Magic creates the illusion of an impossible reality.
| マジックは不可能な現実のイリュージョンを創り出します
| 0 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.39627307653427124,
1.0674164295196533,
0.03605744242668152,
-0.5834732055664062,
0.12359283864498138,
0.17870698869228363,
0.4809979200363159,
0.671874463558197,
0.06374040246009827,
-0.8568041324615479,
-0.8563302755355835,
-0.09549818933010101,
-0.7335559725761414,
0.05717960000038147,... |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Example input: Italy have defeated Portugal 31-5 in Pool C of the 2007 Ru... | ヒューストン・アストロズは、フィル・ガーナー監督とTimPurpura球団代表を、ワールドシリーズ初出場（２００５年）へとチームを導いた後２年足らずで解雇した。 | 3 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.5175784230232239,
0.2791617810726166,
-0.340005099773407,
0.29894477128982544,
0.07416882365942001,
-0.20428884029388428,
0.11741793155670166,
0.2973593771457672,
0.3833697438240051,
-0.5767554640769958,
-0.4437621235847473,
0.6344392895698547,
-0.26851531863212585,
0.33330783247947693,... |
Instructions: Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
Input: English sentence: Parang maraming hindi natutuwa dito kay Jieriel – PBB Updates!
Output: | Isa-isa nang nalalagas ang mga housemates – PBB Updates! | 3 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
0.0838310569524765,
0.03313872590661049,
-0.24591122567653656,
-0.30207139253616333,
0.07082522660493851,
-1.1152396202087402,
0.9174690246582031,
0.30449485778808594,
-0.2549486756324768,
-0.18615412712097168,
-0.5940201282501221,
0.27009376883506775,
-1.2356257438659668,
0.25089359283447... |
Definition: You need to answer the question 'Are the given steps in order?', given a set of steps describing a process. Your answer must be either Yes or No. If the answer is No, that means the steps are out of order and do not make sense in the order they are in. If the answer is Yes, that means the steps are in order... | Yes | 2 | NIv2 | task1548_wiqa_binary_classification | zs_opt | [
-0.14007100462913513,
-0.060166340321302414,
-0.6298479437828064,
0.7622519731521606,
-0.3108426332473755,
-0.31125637888908386,
0.0009596566087566316,
0.43873393535614014,
0.13482266664505005,
0.25526461005210876,
-0.18054401874542236,
-0.1890220046043396,
-0.37001287937164307,
0.21317528... |
instruction:
In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
question:
Question: What do water, aluminum, redwood trees, and valley quail all have in common? Answer: They ar... | Metallic bonds hold together positive metal ions and their valence electrons.
| 9 | NIv2 | task1556_scitail_passage_generation | fs_opt | [
0.5300083160400391,
1.4622101783752441,
-0.5116634964942932,
-0.7973154783248901,
-0.630402684211731,
-1.4321050643920898,
0.6484502553939819,
0.7219477891921997,
-0.38044479489326477,
-0.014498507604002953,
0.00993157085031271,
-0.5760236978530884,
-0.8548455834388733,
0.6115210056304932,... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Q: 3, 14, ['I', '9335', 'W', '551', '9659', 'n', '3329', 'W', 't'... | W, S | 4 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.22953873872756958,
0.3803418278694153,
-0.8800129294395447,
-0.7502069473266602,
-0.8600114583969116,
0.2521030008792877,
0.8195308446884155,
-0.25571149587631226,
-0.31504303216934204,
-0.07613770663738251,
-0.6636409163475037,
-0.11472728848457336,
0.07977322489023209,
0.28186970949172... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
Ma... | Neither | 0 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.4919476807117462,
0.5947268009185791,
0.15379169583320618,
0.6575448513031006,
-0.4179137349128723,
-0.692463755607605,
-0.33113884925842285,
0.67336106300354,
0.218389630317688,
0.09360451996326447,
-0.5418537855148315,
-0.32069891691207886,
-0.5625780820846558,
-0.6580937504768372,
... |
Instructions: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that... | Does increased ratio of mRNA expression of the genes CYP17 and CYP11B1 indicate autonomous cortisol production in adrenocortical tumors? | 3 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.8776880502700806,
0.5508314371109009,
-0.3445891737937927,
-0.259086549282074,
-0.3203601837158203,
-0.33433085680007935,
0.3302948474884033,
0.599890410900116,
0.5312436819076538,
-0.08862890303134918,
-0.5508207082748413,
0.2702488303184509,
-0.4332005977630615,
0.28865790367126465,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Example input: Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É coma unha película. Ten cor. Ten movemento.
Example output: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט... | בדרך כלל, רכישת התנהגות מוסרית היא פשוט חלק מהתבגרות, כמו ללמוד לדבר. | 3 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.5985312461853027,
0.6687540411949158,
0.3285575211048126,
-0.6574659943580627,
-0.572813868522644,
-0.46229782700538635,
0.6995106935501099,
0.24394762516021729,
-0.8968465328216553,
-0.3615190088748932,
-0.09216074645519257,
-0.25972676277160645,
-1.2225983142852783,
-0.029229175299406... |
Definition: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the indiv... | red_bucket | 2 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
0.1262110471725464,
-0.08279920369386673,
-0.4926633834838867,
0.521481990814209,
-0.5635650753974915,
-0.8625714182853699,
0.20279675722122192,
0.8493784070014954,
-0.08947097510099411,
0.2871902883052826,
-0.3281862735748291,
0.6690611243247986,
-0.1016717404127121,
0.18703322112560272,
... |
You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your... | neutral
| 1 | NIv2 | task1529_scitail1.1_classification | fs_opt | [
-0.15545053780078888,
0.7850919365882874,
-0.7794612646102905,
0.2669089436531067,
-0.4461345672607422,
-1.2111446857452393,
0.437248170375824,
0.8905507326126099,
-0.25446465611457825,
-0.16641353070735931,
-0.5620063543319702,
0.17042259871959686,
-0.7742390632629395,
-0.1766236424446106... |
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, v... | Y | 4 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-0.7899965047836304,
0.5400531888008118,
-0.005851698108017445,
0.018282342702150345,
0.09639915823936462,
0.3817893862724304,
-0.09698807448148727,
0.03915809467434883,
0.10769279301166534,
0.22699257731437683,
-0.20988577604293823,
0.19120989739894867,
-0.4237608313560486,
-0.49372676014... |
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 _ .
Q: (CNN) On a rece... | Dozens of new Internet access points have been created, WiFi hot spots continue to grow -- with 65 hot spots by the end of 2015 and the announcement to add 80 more in 2016 -- and state-run _ cafes have tried to lower prices. | 4 | NIv2 | task301_record_question_generation | zs_opt | [
0.17665840685367584,
0.5588858723640442,
-0.44815438985824585,
-0.27628085017204285,
-0.03916924446821213,
0.29785776138305664,
0.5321129560470581,
1.4533562660217285,
-0.1631464958190918,
0.22204333543777466,
0.2996867597103119,
0.7123190760612488,
-0.8217449188232422,
0.05529127642512321... |
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.
Q: 3680 + 8725 - 9052 - 1948 - 3094 - 744 - 7412
A: | 17205 | 4 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.8716119527816772,
0.15456107258796692,
-1.2501652240753174,
0.21933914721012115,
-0.32822516560554504,
-0.1570524275302887,
1.1625679731369019,
1.2613587379455566,
0.45845553278923035,
-0.66988205909729,
-0.3187696933746338,
-0.2874590754508972,
-0.44472256302833557,
0.2116215080022812,... |
TASK DEFINITION: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
PROBLEM: هزینه سوخت تقریبا ۰ / ۳ درصد از هزینه راکته.
SOLUTION: Então o custo do propulsor é perto de 0,3% do custo do foguetão.
PROBLEM: سپس آنها شروع به نقشه برداری از جنایات کردند.
SOLUTION: E depois ... | Então, um dado tipo de biomolécula poderá ficar azul.
| 8 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
-0.2675630748271942,
0.25298771262168884,
-0.05811373516917229,
-1.03187894821167,
-0.1808990240097046,
0.057045020163059235,
0.9694573879241943,
0.5724653005599976,
0.5665299892425537,
0.053831346333026886,
-0.873252272605896,
-0.1852312833070755,
-0.23184633255004883,
-0.1737684607505798... |
Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: The hostages said they were treated well and were not t... | 人質は彼らはよく扱われたと言い、暴力で脅されはしなかったとハンセル氏は言った。 | 2 | NIv2 | task435_alt_en_ja_translation | zs_opt | [
-0.026579318568110466,
0.27601081132888794,
0.5245271921157837,
-0.4322952628135681,
0.05519188567996025,
-0.2320496141910553,
1.27030611038208,
0.334400475025177,
0.2238997370004654,
-0.3875727653503418,
-0.5331259965896606,
-0.08386313915252686,
-0.8790043592453003,
0.05764567479491234,
... |
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
--------
Question: वह श्रीनगर स्थित शेर-ए-कश्मीर इंटरनेशनल कांफ्रेंस सेंटर (एसकेआईसीसी) और जम्मू में जनरल जोरावार सिंह ऑडिटोरियम में अलग-अलग कार्यक्रमों मे... | ശുദ്ധ ഊര്ജ്ജത്തിന് വേണ്ട ഗവേഷണ വികസനമാണ് ഈ ഗ്രൂപ്പിലെ ഊന്നല്.
| 7 | NIv2 | task1017_pib_translation_hindi_malayalam | fs_opt | [
-0.10763876140117645,
0.09102258086204529,
-0.10961893945932388,
0.09445399791002274,
-0.2658102512359619,
-0.2565370202064514,
0.003208516165614128,
0.303226500749588,
-0.6915901303291321,
0.4837731719017029,
0.1215837150812149,
0.4631041884422302,
-0.7551649212837219,
0.13996681571006775... |
TASK DEFINITION: In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
PROBLEM: His line of work required a calm and cool sort of... | Present
| 8 | NIv2 | task429_senteval_tense | fs_opt | [
0.38708382844924927,
0.3125395178794861,
0.05478532612323761,
-0.24662190675735474,
0.05680186673998833,
0.30442285537719727,
0.9288854598999023,
0.7101545333862305,
0.41577786207199097,
0.08010440319776535,
-0.49903368949890137,
-0.1943841129541397,
-0.41293543577194214,
-0.18071863055229... |
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 'Yes' or 'N... | No | 3 | NIv2 | task227_clariq_classification | zs_opt | [
-0.3127785325050354,
-0.5447227954864502,
-0.054135795682668686,
0.14617890119552612,
-0.9687936902046204,
-0.6496212482452393,
0.5955255031585693,
0.45462390780448914,
0.000863442721311003,
0.009105097502470016,
0.3362736105918884,
-0.372450590133667,
-0.5367642045021057,
-0.2494514882564... |
Q: 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 buildi... | jump opposite right thrice after jump opposite left | 7 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.22039616107940674,
1.0016355514526367,
-0.40774965286254883,
0.032024212181568146,
-0.003941182047128677,
0.19199468195438385,
0.1799808144569397,
0.7423010468482971,
-0.3719463050365448,
-0.30093780159950256,
-0.8357270359992981,
-0.22491484880447388,
-0.8800755739212036,
-0.06446217000... |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
[-81, 58, -... | [58, -86, -50, -68] | 0 | NIv2 | task369_synthetic_remove_odds | zs_opt | [
-0.5166428089141846,
0.644659161567688,
0.1797432005405426,
-0.7419331073760986,
0.07990125566720963,
-0.07705826312303543,
0.8450882434844971,
0.3507251739501953,
0.18310239911079407,
0.49350571632385254,
-0.7089298963546753,
-0.22260645031929016,
-0.15008556842803955,
-0.2603623867034912... |
Part 1. Definition
Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
Part 2. Example
What are ar... | glycolysis | 7 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
0.6999744176864624,
0.6740739941596985,
-0.46543264389038086,
0.8700278997421265,
-0.255532443523407,
-0.9676786661148071,
0.17507009208202362,
0.24393688142299652,
-0.024948647245764732,
-0.3062855005264282,
-0.260100781917572,
-0.2545486390590668,
-0.7755914926528931,
0.26926398277282715... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
One example is below.
Q: מה מייחד את המוח האנושי?
A: 人の脳の何がそんなに特別なのでしょうか ？
Rationale: The Hebrew sentence is correctly translated into Japanese. They both refer to the human brain.
Q: מה אם ביולוגים יכולים היו לחקור רק בעלי ... | もし生物学者たちが人をうならせるような動物しか研究できなかったとしたらどうなるでしょう | 9 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.615882158279419,
0.2771415114402771,
0.04405392333865166,
-0.414683997631073,
-0.7738375067710876,
-0.4948997497558594,
0.5073879957199097,
-0.45588672161102295,
0.9184872508049011,
-0.8013281226158142,
-0.8774181604385376,
0.11874578148126602,
-0.8325889110565186,
0.6381969451904297,
... |
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question ... | #1 return Josh Freeman
#2 return turnovers of #1
#3 return number of #2 | 3 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.9289010763168335,
-0.20963892340660095,
-0.6013836860656738,
0.6260721683502197,
0.290446400642395,
-0.09483551979064941,
1.146370768547058,
0.16867688298225403,
-0.5956101417541504,
0.24180302023887634,
-0.6656911969184875,
0.23575779795646667,
0.24561429023742676,
0.585136353969574,
... |
TASK DEFINITION: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. Y... | Yes
| 8 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.3002317547798157,
0.29189741611480713,
0.13536220788955688,
0.0017238942673429847,
-0.4172394275665283,
-0.7479757070541382,
1.4082942008972168,
0.5251189470291138,
-0.1307639330625534,
-0.77512127161026,
-0.40373170375823975,
-0.34726691246032715,
-0.6597445011138916,
0.3575239479541778... |
Detailed Instructions: Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable ... | Je bent ongelukkig om een planeet in het zonnestelsel te vinden. | 9 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.5667447447776794,
1.2639696598052979,
-0.37009739875793457,
-0.3682209849357605,
-0.4248386025428772,
-0.7186353206634521,
0.4512422978878021,
0.43729498982429504,
0.41422879695892334,
-0.9270427823066711,
-0.5659264326095581,
0.7649770379066467,
-0.38984692096710205,
0.1268249303102493... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Example Input: 1, 1, ['5831', 'D', '3287', '3619', 'Y']
Example ... | E, 8005, Y, 7629
| 3 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
0.39824026823043823,
-0.232105553150177,
-0.810615062713623,
-0.5327435731887817,
-0.6283659338951111,
0.11806419491767883,
0.3905600905418396,
0.09195186197757721,
-0.4172285199165344,
0.11756155639886856,
-0.905759334564209,
-0.40620672702789307,
-0.005747142247855663,
0.0729123204946518... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Let me give you an example... | 1 | 8 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.47865059971809387,
0.46030479669570923,
0.17640820145606995,
0.021717248484492302,
-0.24654509127140045,
-0.2724013924598694,
0.3798869848251343,
0.9255596995353699,
0.23076477646827698,
0.03671663999557495,
-0.3154260516166687,
0.24971994757652283,
-0.2740280032157898,
-0.4162927865982... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
نسيت رقمي. | I've forgotten my number. | 0 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
-0.936553955078125,
0.8293192982673645,
0.22671380639076233,
-0.6330663561820984,
-0.2390851080417633,
0.9268332719802856,
0.9609859585762024,
-0.5399453639984131,
0.9076389074325562,
0.13404780626296997,
-0.6169304847717285,
-0.11651749163866043,
-0.7998859882354736,
0.6789467334747314,
... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Bayern Munich menutup kemenangan dengan 2 gol dari... | バイエルン・ミュンヘンは、マーク・フォン・ボメルとハミット・アルティントップの後半の２つのゴールで勝利を確実にした。 | 1 | NIv2 | task1116_alt_id_ja_translation | zs_opt | [
-0.2172735035419464,
0.3784836232662201,
-0.2660999000072479,
0.31092166900634766,
0.14007902145385742,
0.5176560282707214,
1.0138068199157715,
-0.3009960949420929,
0.46507787704467773,
-0.5137181878089905,
-0.45850616693496704,
0.5379149913787842,
-0.9789478778839111,
0.47042080760002136,... |
Teacher:Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individua... | green_basket | 6 | NIv2 | task154_tomqa_find_location_hard_noise | zs_opt | [
0.30523014068603516,
-0.2974666357040405,
-0.31971490383148193,
0.034482985734939575,
-0.35492148995399475,
-0.787672221660614,
0.006358501501381397,
0.869737982749939,
0.3035810887813568,
0.16457390785217285,
-0.4678122401237488,
0.8528727889060974,
-0.039913881570100784,
-0.2310528606176... |
instruction:
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
question:
Sale el fluido de la liposucción, y en este caso, las células madre son aisladas y convertidas en neuronas.
answer:
ed ecco il fluido della liposuzione. In questo caso, le cellule staminali vengono is... | Ora pensavo: Se facessimo solamente della buona scienza, che possa cambiare la prassi medica, ma in effetti è un pò ingenuo pensarlo.
| 9 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.8731573820114136,
0.16721899807453156,
-0.7202924489974976,
-0.3771519362926483,
-0.5083379745483398,
-1.2463504076004028,
-0.07389936596155167,
1.594975471496582,
0.10947421193122864,
-0.1457199901342392,
-0.2065005898475647,
0.5736193656921387,
-0.7947521209716797,
0.187374085187912,
... |
Given the task definition and input, reply with output. Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
Alphonse Milne-Edwards (Paris, 13 October 1835 -- Paris, 21 April 1900) was a French mammalologist, ornithologist and carcinologist.
| Where did Alphonse Milne-Edwards live when he died? | 5 | NIv2 | task470_mrqa_question_generation | zs_opt | [
0.05864790081977844,
1.0811938047409058,
-0.16995738446712494,
-0.520441472530365,
-0.06392315030097961,
-0.6497464179992676,
0.27476200461387634,
-0.6504249572753906,
0.27922749519348145,
0.5745714902877808,
-0.5544840097427368,
0.45148730278015137,
-1.0639748573303223,
0.1471658647060394... |
Part 1. Definition
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Part 2. Example
Poradzi sobie, ale trzeba na nią uważać.
Answer: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
Explanation: The Polish sentence is correctly translated into Arabic, because the meaning is pr... | أطلق على هذه الحروف الثمانية اسم "" الجذور "". | 7 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
0.09694670140743256,
1.093666672706604,
0.3046919107437134,
-0.6846675276756287,
0.3529096841812134,
-0.1508825123310089,
1.6649194955825806,
-0.7021363973617554,
0.29488182067871094,
-0.09872329235076904,
-1.0403486490249634,
0.28374043107032776,
-1.022851586341858,
0.4757440686225891,
... |
TASK DEFINITION: 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 consistency, answers should be in all lower cased letters.
PROBLEM: Category: BEVERAGES
Clue: Peach mango is a highlight of this brand ... | michigan
| 8 | NIv2 | task305_jeopardy_answer_generation_normal | fs_opt | [
0.09624335169792175,
0.41185328364372253,
0.401020348072052,
-0.9015793800354004,
0.10903635621070862,
-0.07524652779102325,
0.939877450466156,
0.3215622305870056,
0.13687656819820404,
-0.0534466877579689,
0.2294270247220993,
-0.5869481563568115,
-0.7751798629760742,
-0.0977792888879776,
... |
Detailed Instructions: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Q: و در [تورات] بر آنان مقرر کردیم که جان در مقابل جان، و چشم در برابر چشم، و بینى در برابر بینى، و گوش در برابر گوش، و دندان در برابر دندان مىباشد؛ و زخمها [نیز به همان ترتیب] قصاص... | And there (in the Torah) We had ordained for them a life for a life, and an eye for an eye, and a nose for a nose, and an ear for an ear, and a tooth for a tooth, and for wounds retribution, though he who forgoes it out of charity, atones for his sins. And those who do not judge by God's revelations are unjust. | 9 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
0.082353875041008,
1.3243916034698486,
-0.07766148447990417,
-0.5742642879486084,
-0.6389923095703125,
0.05361935868859291,
0.7465624809265137,
0.559969425201416,
0.14962609112262726,
-0.17768029868602753,
0.12146198004484177,
0.5482622981071472,
-0.6223591566085815,
0.8124366998672485,
... |
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: HOMOPHONIC PAIRS
Clue: It's a notation on a percussion store to clash
S... | an oncoming train | 6 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
-0.6820224523544312,
0.8650966882705688,
-0.04297228157520294,
0.14996574819087982,
0.46149003505706787,
-0.5480673909187317,
0.725162148475647,
0.39446207880973816,
0.1041887104511261,
0.16773825883865356,
-0.10866495966911316,
0.2184964120388031,
-0.11458877474069595,
-0.4240536391735077... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
able
Solution: unable
Why? The output is correct as able and unable are opposities of each other i... | slow | 0 | NIv2 | task1508_wordnet_antonyms | fs_opt | [
0.3417784869670868,
1.6928315162658691,
0.7256965041160583,
-0.26024317741394043,
0.025127412751317024,
-0.41447263956069946,
0.2656371593475342,
0.7434964776039124,
0.4004431366920471,
-0.6366851329803467,
-0.5978180170059204,
-0.48228001594543457,
-0.6253591179847717,
0.28662005066871643... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Input: Consider Input: ['i', '1413', '5345', '17', 'l', 'R', 'a', '5345', '7979', '9165', '5719', 'J', 'E', '199', '8365', 'o', '1157', '485']
Output: 1413, 5345,... | Output: 4385, 3865, 3321, 4555, 7633, 291, 8385, 9905, 1629, 6929, 9649, 2247, 3937
| 2 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
-0.11694655567407608,
0.754050076007843,
-0.5590245723724365,
-0.6235637664794922,
-0.6236807107925415,
0.2786406874656677,
0.03617183864116669,
0.40086793899536133,
-0.5859622955322266,
0.3098560869693756,
-1.0501058101654053,
-0.1911032497882843,
-0.30986326932907104,
0.40008512139320374... |
Teacher: In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
Teacher: Now, understand the problem? If yo... | second | 2 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
0.07011154294013977,
-0.05113103613257408,
-0.32234466075897217,
-0.03937837481498718,
-0.11537256091833115,
-0.6502888202667236,
-0.18937300145626068,
0.2720847427845001,
-0.3551294803619385,
0.4236212372779846,
-0.1502615362405777,
-0.8674116730690002,
-0.9031474590301514,
-0.47058904170... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you shoul... | [0, -3, 27, 5, 27, -11, 625, 325, -1909845, -13, 0, -7, -22295] | 3 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.2545120418071747,
-0.3174549341201782,
-0.7798445820808411,
-0.0646134465932846,
0.2513197660446167,
-0.4066275954246521,
1.018876314163208,
0.741965115070343,
-0.6521105766296387,
-0.1449606567621231,
-0.9743909239768982,
-0.2239793837070465,
-0.5034863352775574,
-0.29717928171157837,
... |
Given the task definition, example input & output, solve the new input case.
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.
Example: Context: Chronic rhinosinusitis (CRS) is a heterogeneous disea... | Limited follow-up period, young age group, uncontrolled study. | 1 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.2411811351776123,
0.38878709077835083,
-0.30322813987731934,
-0.14388814568519592,
0.6714291572570801,
-0.21120065450668335,
0.13801215589046478,
0.6817998886108398,
-0.21528351306915283,
0.04868926852941513,
-0.307558536529541,
0.23174428939819336,
-0.7278136014938354,
0.307723701000213... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Igbo sentence: The Bible na-akụzi na mgbe anyị na-amụ, na anyị ụmụ Chineke, ma ndi-iro nke Chineke.
The Bible teaches that when we're born, we're not children of God, but enemies of God.
I... | At present, it is not possible to change the order of sentences or parts of it.
| 0 | NIv2 | task449_opus_paracrawl_ig_en_translation | fs_opt | [
-0.2676318287849426,
0.6371707916259766,
0.1519034057855606,
0.2045956254005432,
-0.13641071319580078,
-1.4844492673873901,
0.2541266083717346,
0.33394867181777954,
0.20470044016838074,
0.4884851574897766,
-0.11369271576404572,
-0.06036433205008507,
-0.7149999141693115,
-0.1908818483352661... |
Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
Example input: In 1582 the united provinces invited francis, duke of anjou to lead them; but after a failed attempt to take antwerp in 1583, the duke left the netherlands again. after the ass... | which organ is not part of the urinary system? | 3 | NIv2 | task470_mrqa_question_generation | fs_opt | [
0.6762537956237793,
1.1623269319534302,
-0.7738988399505615,
0.36009681224823,
0.5041221380233765,
-0.029151901602745056,
-1.015805959701538,
0.34767022728919983,
-0.2990703582763672,
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0.2711626887321472,
0.4679645895957947,
-0.47319579124450684,
0.32229891419410706,
... |
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Let me give you an example: Text: title speaks for itself really...
i just wasted $1500 o... | TIFU By Making a Rook Mistake | 8 | NIv2 | task510_reddit_tifu_title_summarization | fs_opt | [
0.040807753801345825,
0.5221152305603027,
-0.20914839208126068,
-0.2851536273956299,
0.2556431293487549,
-0.4238983988761902,
0.34813541173934937,
0.8461876511573792,
0.35249167680740356,
0.10097651183605194,
-0.013149790465831757,
-0.1174851730465889,
-0.8068996667861938,
-0.2836580276489... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
--------
Question: そのネットワークは、ヨーロッパでフランス語と英語で、来年中には中東とアフリカでも放送開始を予定している。
Answer: បណ្ដាញគឺត្រូវបានរំពឹងទុកក្នុងការចាប់ផ្ដើមផ្សាយនៅក្នុងភាសាបារាំងនិ... | ក្រុមកំហឹងអ្នកជំទាស់ប្រហែលជា600នាក់-ខ្លះរាយការមកថារាប់ពាន់នាក់ -បានប្រមូលផ្តុំគ្នានៅទីលានខាងក្រៅវិមានប្រធានាធិបតី។
| 7 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
0.3412731885910034,
0.36116689443588257,
0.3270984888076782,
-0.20861275494098663,
0.12047780305147171,
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0.7547327280044556,
0.4430556893348694,
-0.2539716362953186,
-0.1358557641506195,
-0.35863763093948364,
1.0336214303970337,
-1.334435224533081,
0.10792145133018494,... |
Detailed Instructions: In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it conta... | 1 | 9 | NIv2 | task1541_agnews_classification | zs_opt | [
-0.7977206707000732,
0.278874933719635,
-0.49357807636260986,
0.9878612160682678,
0.1952257752418518,
-0.1333409547805786,
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0.3097245693206787,
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-0.6746393442153931,
0.6074264049530029,
-0.13603663444519043,
-0.415213406085968,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You 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 appropri... | service[bad], recommend[yes], decor[bad] | 0 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.4904806613922119,
0.4895211458206177,
-0.45191916823387146,
-0.2214168906211853,
0.04092961922287941,
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0.8793424963951111,
0.3762529790401459,
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0.6193035840988159,
-0.125542551279068,
-0.3840097188949585,
-0.21965542435646057,
... |
Given the task definition and input, reply with output. A text is given in Marathi. Translate it from the Marathi language to the Tamil language. The translation must not omit or add information to the original sentence.
சபாகர் துறைமுகத்தின் திறனை முழுமையாகப் பயன்படுத்திக் கொள்ளவும், அதன் இணைப்பை ஆப்கானிஸ்தான் மற்றும்... | चाबहार बंदराची पूर्ण क्षमता आणि त्याचा अफगाणिस्तान आणि मध्य आशियाशी असलेला संपर्क यांचा वापर करण्याच्या दृष्टीने भारताने चाबहार- झाहेदान रेल्वेमार्गाच्या विकासाची तयारी दाखवली. | 5 | NIv2 | task1084_pib_translation_tamil_marathi | zs_opt | [
0.5697809457778931,
0.9567559957504272,
0.2917839288711548,
0.08959957957267761,
-0.10207277536392212,
-0.21122413873672485,
0.3510856330394745,
0.09850061684846878,
-0.3623204231262207,
0.03349023312330246,
-0.26277169585227966,
-0.12259203940629959,
-0.038511309772729874,
-0.170020818710... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Q: Dialogue 1: 'yeah my friend asked me to ask you did i ask you to ask me if you asked if you had a... | no | 4 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-1.1331182718276978,
0.4994882643222809,
0.7041841745376587,
-0.7769144773483276,
-0.19733376801013947,
0.31788283586502075,
1.1034033298492432,
-0.2836977243423462,
-0.2008134424686432,
-0.481574147939682,
-0.07434466481208801,
-1.0993751287460327,
-0.7450861930847168,
0.5433220863342285,... |
Part 1. Definition
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Part 2. Example
ভুয়ো সংস্থাগুলির ব্যাপারে ভয় দূর করতে গঠিত টাস্কফোর্স উপযুক্ত ও সমন্বয়মূলক ব্যবস্থা গ্রহণ করেছে। এই টাস্কফোর্স গঠিত... | ਨੈਸ਼ਨਲ ਡਿਫੈਂਸ ਕਾਲਜ ਸਲਤਨਤ ਆਵ੍ ਓਮਾਨ ਅਤੇ ਵਿਸ਼ਲੇਸ਼ਣ ਸੰਸਥਾ ਦਰਮਿਆਨ ਵਿੱਦਿਅਕ ਅਤੇ ਵਿਦਵਤਾ ਸਹਿਯੋਗ ਖੇਤਰਾਂ ’ਤੇ ਸਹਿਮਤੀ ਪੱਤਰ | 7 | NIv2 | task1025_pib_translation_bengali_punjabi | fs_opt | [
-0.25965964794158936,
0.1549288034439087,
-0.03056979738175869,
0.09432749450206757,
0.0233452208340168,
-0.7571783065795898,
0.8678840398788452,
0.7242122888565063,
-0.07661987841129303,
0.44815969467163086,
-0.7383377552032471,
-0.2897385060787201,
-0.7070343494415283,
-0.112180292606353... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "... | False | 0 | NIv2 | task396_persianqa_classification | fs_opt | [
0.44565457105636597,
0.1329914629459381,
-0.5840139389038086,
-0.012250518426299095,
-0.10426342487335205,
-0.2551417946815491,
0.4840242266654968,
0.9848853349685669,
-0.06559772789478302,
0.19802752137184143,
-0.4735504388809204,
0.12776687741279602,
-0.42029309272766113,
0.1153340190649... |
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.
ヴェイル氏は調査団に、初めて彼がAWBと繋がる横領の可能性に気付いたのは、2004年4月であったと語った。
Bapak Vaile memberi tahu penyelidikan bahwa pertama kali dia sadar akan kemungkinan... | LiveCD ini memungkinkan siswa untuk menggunakan perangkat lunak yang sama pada komputer rumah mereka dengan yang mereka gunakan di sekolah.
| 0 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
-0.005129020661115646,
0.4101621210575104,
-0.630441427230835,
-0.07692765444517136,
0.01000235229730606,
-0.025938373059034348,
1.0095031261444092,
-0.1223694458603859,
0.08192291855812073,
0.6769269704818726,
-0.20417416095733643,
0.6173466444015503,
-0.6107196807861328,
-0.2370443940162... |
Instructions: In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Input: English: This does not mean that we approve the entire contents, which are too vague and which leave out the... | No | 3 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
-0.300490140914917,
0.19292201101779938,
0.6591540575027466,
-0.1190565824508667,
0.010765002109110355,
-0.7471511363983154,
0.6789405345916748,
0.9900257587432861,
0.2025386244058609,
0.09398172795772552,
0.3044731616973877,
0.22200313210487366,
-0.2943733334541321,
-0.044897858053445816,... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
--------
Question: Armstrong. Poi Tenzing e Hilary, sull'Everest, e poi quel Muruganatham che fu il primo uomo sulla terra a indossare un assorbente.
Answer: アームストロングやエベレストに初登頂したテンジンとヒラリーみたいに私ムルガナタムは地球上で初めて生理用ナプキンをつけた男性って... | 私達のバーチャルリアリティカメラに直面したのです
| 7 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
-0.32435908913612366,
-0.14752015471458435,
-0.11160069704055786,
-0.1213013157248497,
-0.17780567705631256,
-0.7930202484130859,
0.012913590297102928,
-0.22475790977478027,
-0.3602673411369324,
-0.5098279714584351,
-0.7947548627853394,
0.6209104061126709,
-0.49512916803359985,
-0.32196033... |
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Example Input: [[-... | [-51, -19, -80, -4, 43, 99, 37, 93]
| 3 | NIv2 | task207_max_element_lists | fs_opt | [
0.08256085216999054,
-0.11018577218055725,
-0.7770668268203735,
0.17784802615642548,
-0.04788348451256752,
0.23063938319683075,
0.9568466544151306,
0.6355403065681458,
-0.6000771522521973,
-0.02503318525850773,
-0.6781281232833862,
0.42867806553840637,
-0.33615466952323914,
-0.039405211806... |
Q: Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.... | Sitting inside a running, snowed-in car can result in carbon monoxide poisoning. | 7 | NIv2 | task1368_healthfact_sentence_generation | zs_opt | [
0.21532276272773743,
0.27208709716796875,
-0.6646909117698669,
-0.15431895852088928,
0.016798052936792374,
-0.7746886014938354,
0.26653987169265747,
1.0181106328964233,
-0.2748003900051117,
0.295324444770813,
-0.31852924823760986,
0.4342299699783325,
-0.6307291984558105,
0.1719038784503936... |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | production company | 3 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.5574818849563599,
0.08531370759010315,
-0.07923048734664917,
0.585088849067688,
0.2551657259464264,
0.3586800694465637,
0.348627507686615,
0.765312135219574,
-0.5493713617324829,
0.1492355465888977,
0.691106915473938,
0.6472986936569214,
-0.33868545293807983,
-0.28943806886672974,
0.58... |
Detailed Instructions: Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An ... | yes | 9 | NIv2 | task108_contextualabusedetection_classification | zs_opt | [
-0.6403050422668457,
0.5955803394317627,
0.23081091046333313,
-0.16748611629009247,
-0.5796315670013428,
0.12401984632015228,
1.4049072265625,
0.5003266930580139,
0.22486969828605652,
0.004637805745005608,
-0.11787350475788116,
-0.0800657868385315,
-0.21936585009098053,
-0.2552342712879181... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun... | AAIBはボーイングとロールスロイスに燃料システムに関して共同で問題を見直すように助言した。そして、彼らはこの勧告を『受け入れた』と答え、交換部品を開発中であると繰り返し述べた。 | 1 | NIv2 | task435_alt_en_ja_translation | zs_opt | [
-0.3570556342601776,
0.0451519750058651,
0.46603381633758545,
-0.1710093766450882,
0.18969818949699402,
-0.022468790411949158,
1.0150834321975708,
0.4875527620315552,
-0.41786402463912964,
-0.3145501911640167,
-0.15295037627220154,
-0.23136264085769653,
-0.13455511629581451,
0.363909840583... |
This task is about translating a given Yoruba language sentence to English.
Q: Gbogbo wa ni.
A: | We all do. | 4 | NIv2 | task1686_menyo20k_translation | zs_opt | [
0.49543213844299316,
0.9398090243339539,
0.2064807415008545,
-0.44496095180511475,
0.010316465049982071,
-1.2593227624893188,
-0.30889979004859924,
0.20823155343532562,
0.9753384590148926,
-0.10736014693975449,
0.009876713156700134,
0.3335600793361664,
-0.44229304790496826,
0.6870333552360... |
Detailed Instructions: 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 ev... | No | 8 | NIv2 | task1204_atomic_classification_hinderedby | zs_opt | [
0.8433458805084229,
0.5697275400161743,
0.23672272264957428,
-0.2735788822174072,
-0.39757660031318665,
-0.925727367401123,
0.6823815107345581,
0.18242228031158447,
-0.7553650736808777,
-0.2948894202709198,
-0.6092451214790344,
-0.9256689548492432,
-0.7247061729431152,
-0.08987697958946228... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
[EX Q]: המשכנו גם עם אלו שהיוו מלכתחילה את האוכלוסייה העיקרית שלנו של אנשים קטועי ידיים מעל המרפק.
[EX A]: لذا اتجهنا أيضاً إلى الأشخاص الذين كانوا في الأصل محور بحثنا الأشخاص الذين يعانون من بتر في أعلى المرفق.
[EX Q]: משום... | ثانياً ، من المحتم أن لا تستشهد بصحيفة نيويورك تايمز.
| 6 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.1459263563156128,
0.31408023834228516,
-0.49058061838150024,
-0.5014444589614868,
-0.2807876467704773,
-0.46349796652793884,
0.5359231233596802,
-0.42549237608909607,
0.35686546564102173,
0.0024038602132350206,
-0.946343183517456,
-0.006222723983228207,
-0.8769248127937317,
0.2071765661... |
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: the population of a city increases by 7 % per year but due to migration it decrease by 1 % per years . what will be the percentage increase in population in 3 yea... | c
****
| 4 | NIv2 | task1420_mathqa_general | fs_opt | [
0.1029180958867073,
0.7019938230514526,
-0.4837489426136017,
0.2582729756832123,
0.41069096326828003,
-0.10438428819179535,
1.3021336793899536,
1.0084517002105713,
-0.40867501497268677,
0.2366066873073578,
-0.8162804841995239,
0.37307053804397583,
-1.0068198442459106,
-0.13249406218528748,... |
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