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 |
|---|---|---|---|---|---|---|
Detailed Instructions: 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.
He... | count | 4 | NIv2 | task212_logic2text_classification | fs_opt | [
0.2906270921230316,
-0.3752700686454773,
-0.44493499398231506,
0.26073238253593445,
0.47409823536872864,
-0.5480937957763672,
0.8030458092689514,
0.6407678723335266,
0.37063950300216675,
0.016301307827234268,
0.047048792243003845,
0.10560490190982819,
0.06298014521598816,
0.513958573341369... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
[EX Q]: شاهدنا حافلة تتفجر أمام أعيننا.
[EX A]: Vimos um autocarro explodir à frente dos nossos olhos.
[EX Q]: نحن نصنع افتراضات وقفزات خاطئة في المنطق.
[EX A]: Assumimos coisas, cometemos erros lógicos. Cultivamos precon... | E, através desses extratos, nós podemos reconstruir o genoma humano em diferentes épocas no tempo e procurar alterações que possam estar relacionadas a adaptações, fatores de risco e doenças hereditárias.
| 6 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
-0.09454289078712463,
0.31264087557792664,
0.4924626350402832,
-0.6676098108291626,
-0.6404798030853271,
-0.06642366945743561,
0.24965399503707886,
0.5198978185653687,
0.31433629989624023,
-0.3135046362876892,
-0.44249796867370605,
-0.09754863381385803,
-0.6053966283798218,
0.4390928745269... |
Detailed Instructions: In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge ... | Correct | 9 | NIv2 | task133_winowhy_reason_plausibility_detection | zs_opt | [
0.051555976271629333,
0.32467642426490784,
-0.10870741307735443,
0.2538096308708191,
0.1263912469148636,
-0.8432281017303467,
0.6514641046524048,
0.042766742408275604,
0.07795745134353638,
-0.20626232028007507,
-0.5534914135932922,
0.6264351606369019,
-0.9884329438209534,
-0.06765079498291... |
Detailed Instructions: Given a comment text in Malayalam, classify the comment into one of these categories (i) Hope speech, (ii) Not Hope Speech or (iii) Not in Expected Language. A hope speech contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Proble... | Not Hope Speech | 8 | NIv2 | task681_hope_edi_malayalam_text_classification | zs_opt | [
-0.22221222519874573,
0.10596136748790741,
0.11755914241075516,
-0.2302398681640625,
-0.3184228837490082,
-0.5626175999641418,
-0.19541162252426147,
0.5725412964820862,
-0.20354218780994415,
0.3683711886405945,
-0.49815136194229126,
0.029749063774943352,
0.04675932973623276,
-0.53487646579... |
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
One example: Given Relationship: 'make', Sentence: 'Jenny made the announcement that her baby was an alien.'
Solution is here: made
Explanation: The output relati... | sons | 6 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.2924800515174866,
1.4322762489318848,
-0.06795487552881241,
-0.04609521105885506,
-0.6315165758132935,
-0.1986922025680542,
0.07405808568000793,
1.0206083059310913,
-0.08573619276285172,
0.08208897709846497,
-0.4964907169342041,
0.691297173500061,
-0.5425577163696289,
0.1465544998645782... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Problem:Gracias.
Solution: | Thanks. | 8 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.438430517911911,
0.8852784633636475,
0.06924843043088913,
-0.5009815692901611,
0.1441805064678192,
-1.112079381942749,
-0.11883175373077393,
0.24526289105415344,
0.8065270185470581,
-0.4117588996887207,
-0.1572914719581604,
-0.16322576999664307,
0.011415229178965092,
0.10912996530532837... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and nou... | No sustained efforts had been made in the past either to maintain or improve the waterways , nor any to bring about a co-ordinated development of the various transport systems . | 1 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
-0.26580357551574707,
0.13208219408988953,
0.3538966476917267,
0.06774906814098358,
0.38249120116233826,
-0.13020503520965576,
-0.38785701990127563,
1.2241108417510986,
-0.2739943265914917,
-0.4458496570587158,
-0.5450273752212524,
-0.47264212369918823,
-0.005032049957662821,
-0.0283717624... |
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 text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Article: ... | no | 0 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.28111571073532104,
0.06226601451635361,
-0.12813790142536163,
0.29936814308166504,
-0.17030636966228485,
0.09179607033729553,
0.3023921251296997,
0.9293664693832397,
-0.0344315730035305,
0.25404953956604004,
-0.22393952310085297,
0.16737055778503418,
-0.5981333255767822,
0.2941003739833... |
Given the task definition, example input & output, solve the new input case.
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Example:... | decor[bad], recommend[yes], price[affordable] | 1 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.32050323486328125,
0.5710614323616028,
-0.4656001627445221,
0.1597907543182373,
0.3137698173522949,
0.6371199488639832,
0.5488395690917969,
0.9473569393157959,
0.2676815390586853,
-0.23893901705741882,
0.7316730618476868,
-0.07507865130901337,
-0.08139114081859589,
-0.20786483585834503,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Italian.
It turns out they're actually in Hollywood Bowl in Los Angeles listening to the L.A. Philharmonic playing video game music.
Output: | Si trovano all'Hollywood Bowl a Los Angeles ad ascoltare la Filarmonica di L.A. che suona la musica dei videogiochi. | 1 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.07173797488212585,
0.7028666138648987,
-0.775411069393158,
0.5196582674980164,
0.23934918642044067,
0.01454104296863079,
0.1162002682685852,
0.04952932894229889,
0.14711415767669678,
-0.914962887763977,
0.3096960783004761,
-0.11281264573335648,
0.04695030301809311,
-0.1029982790350914,
... |
Q: In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Sentence-1: That'd be great.<sep>Sentence-2: I want to come over for a meal .
A: | Yes | 7 | NIv2 | task566_circa_classification | zs_opt | [
-0.9310166835784912,
0.5367042422294617,
0.39205402135849,
-0.025663670152425766,
-0.3020596504211426,
-0.6529051661491394,
0.48555639386177063,
0.5506441593170166,
-0.06701215356588364,
0.11450529098510742,
-0.20949441194534302,
-0.8407986760139465,
-0.7031660079956055,
-0.196225777268409... |
In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position is the nu... | 1, We decided we would learn to make candy. | 4 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-0.017393024638295174,
0.7849913835525513,
0.3863236904144287,
-0.7970117330551147,
0.9202572107315063,
0.016100270673632622,
0.4095601737499237,
0.3622385263442993,
-0.1285904347896576,
0.2080259770154953,
-0.6542133092880249,
-1.0416698455810547,
-0.44061487913131714,
0.1995519995689392,... |
Given the task definition and input, reply with output. 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.
What is the main devotion of the temple where a National Treasure is considered to be a member of the Car... | Yakushi | 5 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
-0.27409517765045166,
0.5101449489593506,
-0.00030402897391468287,
0.6960462331771851,
-0.5355029106140137,
0.056482311338186264,
0.36794179677963257,
-0.37103432416915894,
-0.6247655153274536,
-0.29899248480796814,
0.08284670859575272,
0.2402803599834442,
-0.21242675185203552,
0.237049564... |
Given the task definition and input, reply with output. In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's... | Unidentifiable | 5 | NIv2 | task351_winomt_classification_gender_identifiability_anti | zs_opt | [
-1.5018404722213745,
0.9828449487686157,
0.10910528898239136,
-0.48551425337791443,
0.22895848751068115,
0.4259212613105774,
-0.4458901584148407,
0.4061886668205261,
0.7063857316970825,
0.05133289098739624,
-1.1778428554534912,
0.10887854546308517,
-0.09651177376508713,
-0.4641604423522949... |
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Q: ఎలా మీరు పచ్చిక అంతటా పొందుతారు?
A: | How will you get across the lawn? | 4 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
-0.08709099888801575,
1.6848855018615723,
0.6534014940261841,
0.277143657207489,
0.19627951085567474,
-1.7636327743530273,
0.8112031817436218,
-0.1281757652759552,
0.10811448097229004,
-0.47212329506874084,
-0.10951411724090576,
0.47418564558029175,
-1.3988184928894043,
0.481239914894104,
... |
Detailed Instructions: 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 be... | Explore any of the three primary user types: | 8 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.3997644782066345,
0.2879495918750763,
0.20417726039886475,
0.054341837763786316,
0.2105230987071991,
-0.14151671528816223,
0.4682789742946625,
0.6540049314498901,
-0.2603224515914917,
-0.15121431648731232,
0.28498575091362,
0.45861557126045227,
-0.528854250907898,
-0.10280300676822662,
... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences fro... | I think I did a great job >Causes> I feel(s) proud | 3 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
-0.1975412368774414,
0.7953258752822876,
-0.5258961915969849,
-0.10074625164270401,
-0.10860883444547653,
-1.157397985458374,
0.18281203508377075,
0.4837379455566406,
-0.4682871699333191,
-0.10383433848619461,
-0.5973092317581177,
0.9634129405021667,
-0.197966068983078,
0.21446019411087036... |
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 probability of it being... | Het importeren van wapens in een land vereist normaal gesproken een pact van de regering van die club. | 6 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.33268654346466064,
0.9603084325790405,
-0.182724267244339,
0.1078975722193718,
0.19431164860725403,
-0.9411002397537231,
0.37464797496795654,
0.8487974405288696,
-0.11028239130973816,
0.058646075427532196,
-0.9300733804702759,
0.3321472704410553,
-0.7544374465942383,
0.05322660878300667... |
Detailed Instructions: In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comm... | [-22.5, 2.0] | 4 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.38337481021881104,
0.3981339633464813,
-0.6580184698104858,
-0.27485859394073486,
0.35333648324012756,
0.24166211485862732,
0.8620395064353943,
0.9244648814201355,
0.25329768657684326,
-0.3892344534397125,
-0.4955219626426697,
-0.41164475679397583,
0.015061961486935616,
0.49664831161499... |
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 | 9 | NIv2 | task1204_atomic_classification_hinderedby | zs_opt | [
0.40248903632164,
0.564847469329834,
0.20077566802501678,
-0.04067699611186981,
-0.07658451795578003,
-1.2245547771453857,
1.0083916187286377,
0.30974721908569336,
-0.7102401256561279,
-0.24773141741752625,
-0.532691240310669,
-0.11971438676118851,
-0.834815263748169,
0.006609284784644842,... |
Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the t... | Mammals have a diaphragm to aid in respiration. | 6 | NIv2 | task037_qasc_generate_related_fact | fs_opt | [
0.10252609848976135,
0.6068800091743469,
-0.7207873463630676,
-0.11561708152294159,
-0.5065840482711792,
-1.020463466644287,
-0.037830814719200134,
0.8772287368774414,
-0.6091152429580688,
0.1158847063779831,
-1.2176432609558105,
0.6106509566307068,
-0.33901554346084595,
-0.085100665688514... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Input: هناك محلات تجارية في الطابق الأرضي.
Output: | There's commercial at the ground floor. | 2 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
-0.20176635682582855,
0.1440790593624115,
0.09328307956457138,
-0.3698127567768097,
0.4595840275287628,
0.3372294306755066,
0.569572925567627,
-0.08923304826021194,
0.62159264087677,
0.1295093446969986,
-1.0183662176132202,
0.18574903905391693,
-0.7357348203659058,
0.6542096734046936,
0.... |
Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it bei... | Sie können ein sh ka verwenden, um für einen Ordner zu generieren. | 0 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.04970639944076538,
0.731264591217041,
0.29739826917648315,
0.1517234742641449,
-0.1430211365222931,
-0.3317486643791199,
0.9533590078353882,
1.2191107273101807,
0.4236363172531128,
-0.22323721647262573,
-0.9968334436416626,
0.2747035026550293,
-0.20568929612636566,
0.07003840059041977,
... |
Teacher: In this task, you are given a country name and you need to return the barcode prefix of the given country. A barcode prefix is a 3-digit number at the begining of all the barcodes on products from a company or country. Some countries have ranges of barcode prefixes such as, 730 - 739; in such a case, a number ... | 389 | 2 | NIv2 | task1319_country_by_barcode_prefix | fs_opt | [
0.06194419041275978,
-0.11937663704156876,
-0.43449413776397705,
-0.5896130800247192,
-0.3331562876701355,
0.47534245252609253,
1.8039904832839966,
-0.1475239098072052,
0.018244076520204544,
0.20194819569587708,
-1.1746841669082642,
0.8116450905799866,
-0.06248573958873749,
0.6152859926223... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Example Input: ואני שקעתי כולי בפרוייקט הזה בדרך שמעולם לא שקעתי
Example Output: E ho cominciato a immergermi nel progetto come mai fatto prima.
Example Input: אם נחיה כך שנשאיר אחרינו את טביעת הרגל האקולוגית הקלה ביותר, אם... | Non è un caso.
| 3 | NIv2 | task1111_ted_translation_he_it | fs_opt | [
-0.5172210335731506,
0.7733471393585205,
0.20473161339759827,
0.7671376466751099,
-0.5871506929397583,
-0.6102272272109985,
-0.008624792098999023,
0.4995200037956238,
-0.08472861349582672,
-0.4881131052970886,
-0.1797795444726944,
0.681739091873169,
-0.1994105577468872,
-0.4393545091152191... |
Instructions: Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2... | "The story describes very preliminary research on an experimental drug that may reduce cholesterol levels in people with a familial form of high cholesterol, which affects very few people in the U.S. While the story adequately addressed many of our criteria, it could have been improved by reporting absolute benefits vs... | 3 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
-0.38584816455841064,
0.44621121883392334,
-0.2762413024902344,
-0.05363006517291069,
0.2729645073413849,
-0.45796650648117065,
0.2452024221420288,
1.1694954633712769,
0.2466358244419098,
0.4555031955242157,
-0.12387733906507492,
0.5417467355728149,
-0.193515807390213,
0.4303404688835144,
... |
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: Faith Hill had won the Female Vocalist Of The Year awar... | フェイス・ヒルは2000年に年間最優秀ボーカリスト賞を受賞した。 | 2 | NIv2 | task435_alt_en_ja_translation | zs_opt | [
-1.0144058465957642,
0.27287864685058594,
0.07785093784332275,
0.2915443181991577,
0.5816597938537598,
-0.26610279083251953,
0.17649322748184204,
0.3592205047607422,
0.09516608715057373,
0.22464926540851593,
-0.44787970185279846,
-0.04218330979347229,
-0.5883888602256775,
-0.10302749276161... |
Q: 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 (i) can't ... | Is asthma severity associated with an increase in both blood CXCR3+ and CCR4+ T cells? | 7 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
1.127126932144165,
0.6587602496147156,
-0.9268295764923096,
-0.04159162566065788,
0.5849659442901611,
-0.9550574421882629,
0.7084845304489136,
0.31449899077415466,
0.3487515151500702,
0.548416018486023,
-0.4044359028339386,
-0.7401743531227112,
-0.6899755001068115,
-0.32386770844459534,
... |
Teacher: 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... | no | 2 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.20023131370544434,
0.28444018959999084,
0.19306941330432892,
0.24984292685985565,
-0.11454293131828308,
-0.29984381794929504,
0.36163443326950073,
1.4398291110992432,
-0.4597867727279663,
-0.38287553191185,
0.022830743342638016,
-0.17254137992858887,
-0.20232009887695312,
-0.313126713037... |
Q: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
There are 65 students trying out for the school ... | 6 | 7 | NIv2 | task867_mawps_multiop_question_answering | zs_opt | [
0.29292377829551697,
0.36230921745300293,
-0.08215364068746567,
-0.6863986849784851,
-0.11828674376010895,
0.14592814445495605,
0.7802786827087402,
0.2702564299106598,
0.09649252146482468,
-0.579017162322998,
-0.6267334222793579,
-0.28272417187690735,
-0.1441679298877716,
-0.26004779338836... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Q: Quindi in effetti, anche se teniamo conto delle perdite nella trasmissione, anche usando la stessa fonte di energia, è sempre meglio caricare un'auto elettrica, che non bruciarla in una centrale elettrica.
A: إذن ، حتى ... | (ضحك) هناك أسبستوز أسفل ذلك المقبض هناك.
****
| 4 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.5209814310073853,
0.3238552212715149,
-0.13509449362754822,
-0.09182310104370117,
-0.6635486483573914,
-0.970832109451294,
1.0315933227539062,
1.188586711883545,
0.049420736730098724,
0.38206222653388977,
-0.43971335887908936,
0.6484324932098389,
-0.39952921867370605,
0.3371946811676025... |
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
[EX Q]: Personality: My ... | Oh India is awesome, that's where all my ten cups of tea a day come from.
| 6 | NIv2 | task1729_personachat_generate_next | fs_opt | [
0.254146933555603,
0.023163579404354095,
-0.02415894716978073,
-0.2646244168281555,
0.25167787075042725,
-0.29744401574134827,
0.48381781578063965,
0.8089084625244141,
-0.31695792078971863,
-0.324806809425354,
-0.25596439838409424,
-0.037649258971214294,
0.00023551122285425663,
-0.09710191... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
See one example below:
Problem: ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پرتاب باشند در عرض چند ساعت.
Solution: EM: Owszem. Ważne jest by rakieta mogła... | Jak na dobry projekt przystało, dostałem fundusze. | 4 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.34715041518211365,
1.0849547386169434,
0.4098050892353058,
-0.38018596172332764,
-0.8612213730812073,
0.21925665438175201,
1.677968144416809,
0.22439634799957275,
0.043630462139844894,
-0.7578455209732056,
-1.1034672260284424,
1.0569140911102295,
-0.9807413220405579,
0.41583892703056335... |
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 connects, otherwi... | Yes | 4 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
-0.9621367454528809,
-0.03902062401175499,
0.27238866686820984,
-0.11327943950891495,
0.03678075969219208,
-0.406191349029541,
0.0015742471441626549,
0.9476886987686157,
0.13365216553211212,
-0.1407308131456375,
-0.28294864296913147,
-0.3856887221336365,
-0.6803353428840637,
-0.19462157785... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes | 8 | NIv2 | task1212_atomic_classification_hasproperty | fs_opt | [
0.008092368952929974,
0.3068261742591858,
0.003831365844234824,
0.05829782783985138,
0.022826161235570908,
-0.909142017364502,
0.3534746766090393,
0.9365329742431641,
-0.47354891896247864,
0.25266706943511963,
-0.5857747793197632,
-0.6694258451461792,
-0.4884815812110901,
-0.58303403854370... |
Detailed Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: सनदी लेखापाल क्षेत्राशी अनेक वर्षांपासून संबंधित असलेल्या मान्यवरांनो, संसदेने तुम्हाला एक पवित्र अधिकार दिला आहे.
A: | ഇത് എന്നെ സംബന്ധിച്ചിടത്തോളം സൗഭാഗ്യമാണ്. യുവാക്കളേ, ചാര്ട്ടേഡ് അക്കൗണ്ടിംഗ് മേഖലയുമായി അനേകം വര്ഷങ്ങളായി ബന്ധപ്പെട്ടിരിക്കുന്ന മാന്യസഹൃത്തുക്കളേ, നിങ്ങള്ക്ക് രാജ്യത്തിന്റെ പാര്ലമെന്റ് ഒരു പവിത്രമായ അധികാരം നല്കിയിട്ടുണ്ട്. | 9 | NIv2 | task1072_pib_translation_marathi_malayalam | zs_opt | [
0.18986567854881287,
0.4766486883163452,
-0.032296501100063324,
0.1486986130475998,
-0.45441702008247375,
-1.4229354858398438,
1.087815523147583,
-0.13486328721046448,
0.36420193314552307,
0.004912082105875015,
0.2501046359539032,
0.7916581630706787,
-0.302804172039032,
0.3268478214740753,... |
instruction:
In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain conditi... | SELECT document_code FROM Documents EXCEPT SELECT document_type_code FROM Documents WHERE access_count > 10000
| 9 | NIv2 | task077_splash_explanation_to_sql | fs_opt | [
0.6096221804618835,
0.3999393582344055,
-1.1947436332702637,
0.5936063528060913,
-0.21514293551445007,
-0.1931253969669342,
0.7132254838943481,
0.8220270276069641,
-0.3896976709365845,
0.5197848081588745,
0.17206892371177673,
0.13691341876983643,
0.14855986833572388,
0.2991456687450409,
... |
Part 1. Definition
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Part 2. Example
Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Answer: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Explanation: The Italian sent... | ヨーロッパ旅行をせずともシェイクスピアの王と共に陽気なイギリスへ行きバイロンの詩と共にスペインやポルトガルに行きました | 7 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
-0.0960848480463028,
0.7421448826789856,
-0.11176865547895432,
-0.8201165795326233,
0.030653880909085274,
-0.7789188027381897,
0.505614697933197,
0.5980088710784912,
0.4241659939289093,
-0.6739199757575989,
-0.3299098014831543,
0.6897681951522827,
-0.697761058807373,
-0.22626927495002747,
... |
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... | Yes | 8 | NIv2 | task1212_atomic_classification_hasproperty | zs_opt | [
0.08167068660259247,
0.08346312493085861,
0.10492109507322311,
0.10408047586679459,
-0.22085756063461304,
-0.6554307341575623,
0.703439474105835,
0.6533786058425903,
-0.22662334144115448,
-0.07793334126472473,
-0.7388983964920044,
-0.4851450026035309,
-0.18566779792308807,
-0.2519257664680... |
Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
[Q]: Context : Why Be Good? is a 1929 American silent comedy film from First National Pictures starring Colleen Moore and Neil Hamilton.
Answer... | What kind of occupation does Stanley Baxter have?
| 5 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
-0.3214358687400818,
0.42904233932495117,
-0.2454146444797516,
-0.05324683338403702,
0.8534308671951294,
-0.08234034478664398,
-0.29321053624153137,
0.32399681210517883,
-0.3853834867477417,
0.3690968155860901,
-0.7503077983856201,
-0.11879152059555054,
-0.6938594579696655,
-0.621158957481... |
Instructions: In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the an... | 10439 | 3 | NIv2 | task087_new_operator_addsub_arithmetic | zs_opt | [
0.01155649684369564,
0.588017463684082,
-1.2091317176818848,
0.12748883664608002,
-0.4292653799057007,
-0.24398493766784668,
0.1123027354478836,
1.4821223020553589,
0.6932995319366455,
-0.013216700404882431,
-0.5070265531539917,
-0.3912641108036041,
0.42769327759742737,
-0.1427090466022491... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
Do you have more info about Zimbabwe
Do you have any interesting facts about this place.
Can you tell me more about Science and Tec... | Asia is the largest continent on earth so as you can imagine their politics throughout Asia are extremely varied
| 0 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.14301154017448425,
0.3373209238052368,
-0.34527072310447693,
-0.33602622151374817,
-0.22417619824409485,
-0.42783451080322266,
1.3440370559692383,
-0.4554416835308075,
-0.2834274172782898,
-0.19265154004096985,
-0.1792169213294983,
0.5660879611968994,
-0.451555073261261,
0.19410929083824... |
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Input: Sentence 1: She was quite beyon... | fiction | 3 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-1.243805170059204,
0.6562601327896118,
-0.17235513031482697,
-0.12402774393558502,
0.00482393242418766,
0.5223002433776855,
-0.12338200956583023,
0.7577306032180786,
0.1165897473692894,
-0.24543297290802002,
-0.3863193392753601,
-0.17977693676948547,
-0.11184313893318176,
-0.5724158287048... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Q: Question1: How many half days do Architecture students get at Manipal?, Question2: Do employees at International Speedway have a good work-life balance? Does this differ across po... | No | 4 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
-0.7995878458023071,
-0.2857576608657837,
1.067478895187378,
-0.4371960163116455,
-0.5987663269042969,
-0.8828743100166321,
-0.005984211340546608,
0.5292952656745911,
-0.45626890659332275,
0.2579953372478485,
-0.1486511528491974,
-0.8734734058380127,
-0.22398607432842255,
-0.12613266706466... |
Detailed Instructions: In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
See one example below:
Problem: Twenty-year-old Will Hunting of South Boston is a self-taught, ... | Answer: The creature's host. | 4 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.6541028022766113,
-0.033332519233226776,
-0.37762451171875,
-0.34516727924346924,
0.2892128825187683,
0.18214300274848938,
0.7154046893119812,
0.8853189945220947,
0.05694582313299179,
-0.05132032930850983,
0.1546470820903778,
0.6604040861129761,
-0.7123171091079712,
0.07173214852809906,
... |
Instructions: In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Input: He couldn't shake the image of his sunken face out of his head, especially the way his pupils had gone gray.
Output: | Plural | 3 | NIv2 | task430_senteval_subject_count | zs_opt | [
-0.8726111054420471,
1.0428606271743774,
0.7497260570526123,
-0.9248148202896118,
-0.5411667227745056,
0.2650752365589142,
0.9153891801834106,
0.17837285995483398,
0.1867808997631073,
-0.36155223846435547,
-0.1686149537563324,
-0.09651331603527069,
-0.6019877195358276,
-0.18549302220344543... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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) Identi... | no | 0 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
-0.3234505355358124,
0.2655118703842163,
0.1839485466480255,
0.3350685238838196,
-0.175603449344635,
0.009109489619731903,
0.7371307611465454,
0.9734877347946167,
0.20803219079971313,
0.32372817397117615,
0.4565836787223816,
-0.18051289021968842,
-0.29077303409576416,
-0.16170790791511536,... |
Part 1. Definition
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Part 2. Example
Un bărbat pune brânză mărunțită pe o pizza.
Answer: A man is spreading shreded cheese on a pizza.
Explanation: In the given translation process, t... | gorgich and pashtoon were executed for trafficking heroin in sistan-baluchestan province. | 7 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.07315024733543396,
0.5056192874908447,
0.6514437198638916,
-0.4391336441040039,
0.05838054418563843,
0.04997226968407631,
0.8155994415283203,
0.7210719585418701,
0.6953372359275818,
-0.1083468347787857,
-0.5598493814468384,
0.7905454635620117,
-0.45008915662765503,
-0.0872555747628212,
... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Problem:Estamos explorando os limites do que todos podemos fazer para melhorar o mundo com a tecnologia de hardware livre.
Solution: | ما در حال کاوش مرزهایی هستیم که در آنها با استفاده از فنون همگانی ساخت سخت افزار ، جهان بهتری بسازیم. ما در حال کاوش مرزهایی هستیم که در آنها با استفاده از فنون همگانی ساخت سخت افزار ، جهان بهتری بسازیم. ما در حال کاوش مرزهایی هستیم که در آنها با استفاده از فنون همگانی ساخت سخت افزار ، جهان بهتری بسازیم. | 8 | NIv2 | task1282_ted_translation_pt_fa | zs_opt | [
-0.06364834308624268,
1.2019058465957642,
0.0678013414144516,
-0.24938629567623138,
-0.29280954599380493,
-0.41315406560897827,
0.6682432889938354,
0.4064268469810486,
1.432092308998108,
0.4932445287704468,
-0.9439481496810913,
0.43844887614250183,
-0.20100659132003784,
0.14376002550125122... |
Detailed Instructions: 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'.
See one exampl... | 0 | 4 | NIv2 | task1344_glue_entailment_classification | fs_opt | [
-0.44017645716667175,
1.303159475326538,
-0.24479065835475922,
-0.11948242783546448,
-0.00937144085764885,
-0.1081661731004715,
0.8972667455673218,
0.4100766181945801,
0.5031648278236389,
-0.19734245538711548,
-0.5428212285041809,
0.2844223380088806,
-0.6091890335083008,
0.0467909798026084... |
Instructions: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Input: Title: Conference. Sentence 1: Lindsay went to Los Angeles for a big conference. Sentence 2: S... | And she missed it when she fell asleep in the bubbles. | 3 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
-0.7070579528808594,
1.0629788637161255,
0.10427616536617279,
-0.5755586624145508,
-0.2089979350566864,
0.3181264102458954,
-0.3539945185184479,
0.39823606610298157,
0.12991304695606232,
0.34018734097480774,
0.05119938775897026,
0.1750606745481491,
-0.11997519433498383,
0.32790040969848633... |
Given the task definition and input, reply with output. 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 l... | On 12/19/2006, many people thought there was a small eruption when a big white puff of steam was seen. | 5 | NIv2 | task111_asset_sentence_simplification | zs_opt | [
-0.3529336452484131,
0.7239301800727844,
1.0216163396835327,
-0.7025866508483887,
-0.15353843569755554,
-0.1994456648826599,
0.4557466506958008,
-0.0219489224255085,
0.06216141954064369,
-0.4570804238319397,
0.1034623309969902,
0.4925885498523712,
-0.6364785432815552,
-0.08569791913032532,... |
In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
[EX Q]: Text: like a lot of tifu's this didn't happen today. this actually happened about 12 or 13 years... | i rubbed fallen toothpaste in my hair. the results were a helmet of hair and a minty aroma.
| 6 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.09664848446846008,
0.7976089715957642,
-0.2854154706001282,
-0.6671204566955566,
0.5979448556900024,
0.05457122623920441,
1.3714767694473267,
1.266409993171692,
0.3476067781448364,
-0.17461690306663513,
-0.4123818278312683,
0.8793470859527588,
-1.0877816677093506,
0.16067959368228912,
... |
Definition: Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: ជំនឿទុកចិត្តលើប្រធានាធិបតី Chirac ក្នុងចំណោមប្រជាជន ក៏ទាបដែររហូតដល់24%។
Output: | シラク大統領の市民からの支持率も過去最低の24％だった。 | 2 | NIv2 | task1122_alt_khm_ja_translation | zs_opt | [
-0.4951605796813965,
0.011873875744640827,
-0.3205827474594116,
-0.5880391597747803,
-0.13204073905944824,
-0.6315145492553711,
0.6430370807647705,
0.3274705410003662,
-0.3460308313369751,
-0.09214302897453308,
-0.9471794962882996,
0.05792494863271713,
-0.6554855108261108,
0.65400564670562... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether t... | Identifiable | 1 | NIv2 | task351_winomt_classification_gender_identifiability_anti | zs_opt | [
-0.8004323244094849,
0.8360296487808228,
-0.19971805810928345,
-0.4181872010231018,
0.40788644552230835,
0.3399130702018738,
-0.3789440989494324,
0.7612854838371277,
0.5731885433197021,
0.1453818678855896,
-1.084380030632019,
-0.13065527379512787,
-0.564048707485199,
-0.4533408284187317,
... |
Detailed Instructions: In this task, you are given music product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Q: Sarah Fan? - Buy this Now... . I wasn't a Sarah fan in 1999 wh... | POS | 9 | NIv2 | task478_cls_english_music_classification | zs_opt | [
-0.06847698241472244,
-0.10187599062919617,
-0.6894923448562622,
0.6421772241592407,
0.3656633794307709,
-0.3683726191520691,
0.3322215676307678,
0.6520929336547852,
0.2496679425239563,
0.7637810111045837,
0.7191891670227051,
0.3115154802799225,
-0.25458666682243347,
-0.5261704921722412,
... |
Q: Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
Text: 'and now come down past it'
A: | English | 7 | NIv2 | task896_miam_language_classification | zs_opt | [
0.28777140378952026,
1.2217578887939453,
0.6180603504180908,
0.04312519356608391,
0.07532703876495361,
-1.2622427940368652,
-0.33533918857574463,
0.6494763493537903,
0.5524946451187134,
0.13686847686767578,
-0.11859928071498871,
0.2682841122150421,
-0.42861372232437134,
-0.3051477968692779... |
Detailed Instructions: 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 ef... | for | 9 | NIv2 | task1727_wiqa_what_is_the_effect | zs_opt | [
0.35904473066329956,
0.6311371326446533,
-0.4633979797363281,
-0.021514713764190674,
-0.03702782467007637,
-0.7560417652130127,
0.1589672863483429,
1.200870156288147,
0.06862935423851013,
0.07512441277503967,
-0.17277029156684875,
0.26494234800338745,
-0.6065653562545776,
0.033961798995733... |
instruction:
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
question:
Person1: Right Rebecca . Now I see that aft... | 1
| 9 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.2910503149032593,
0.04369531571865082,
-0.4225345849990845,
0.3343135118484497,
0.5535495281219482,
-0.29510948061943054,
0.6146547794342041,
0.1786031723022461,
-0.03861448913812637,
-0.12276574969291687,
-0.13065463304519653,
-0.15834122896194458,
-0.5292158126831055,
0.290799498558044... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
Input: كان ساحرا و كان يتغزل في و لكني رفضت.
Output: | 彼は魅力的で私もうれしかったけれど断りました | 2 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
0.013802440837025642,
0.8328208923339844,
-0.0696326196193695,
-1.0272170305252075,
-0.29237204790115356,
-0.3980204463005066,
0.728807806968689,
-0.5274605751037598,
0.3765350878238678,
-0.6208438873291016,
-0.8753612041473389,
-0.03936922550201416,
-0.6153323650360107,
0.0210245419293642... |
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... | Solution: Howard was born in Stockport, England December 7, 1977. | 5 | NIv2 | task111_asset_sentence_simplification | fs_opt | [
0.6513795256614685,
0.045290060341358185,
0.34646880626678467,
-0.7773960828781128,
0.6925669312477112,
-1.1489059925079346,
-0.0806826502084732,
0.3392159938812256,
0.05061861872673035,
0.02803421951830387,
-0.4139705300331116,
-0.20616117119789124,
-0.9321226477622986,
-0.236332923173904... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Example: Lucifer... | In which layer of skin are the blood vessels of the skin located? | 1 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.3306836485862732,
0.2609393894672394,
-0.051903095096349716,
0.024319227784872055,
0.26209336519241333,
0.17934149503707886,
0.18403586745262146,
0.6263912320137024,
0.2709134817123413,
-0.3241701126098633,
0.26415038108825684,
0.111459881067276,
-0.2485324740409851,
0.2225683033466339,... |
Instructions: This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is... | [['Bandeja paisa', 'INGREDIENT', 'Lemon'], ['Lemon', 'ORDER', 'Sapindales']] | 3 | NIv2 | task1410_dart_relationship_extraction | zs_opt | [
-0.4808291792869568,
0.5121675729751587,
-0.41827696561813354,
-0.35706713795661926,
-0.5023037195205688,
-0.2892644703388214,
0.7054957151412964,
0.1859278529882431,
-0.0402713418006897,
-0.3445297181606293,
-1.013231635093689,
0.3746268153190613,
-0.6532114744186401,
0.31241780519485474,... |
Teacher: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? If you are still confused, see the following example:
@justinchuan Awww! I was thinking about you lot up there!... | positive | 2 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.1931233406066895,
-0.3326696753501892,
0.4431558847427368,
0.17569637298583984,
0.6061918139457703,
-0.9840953350067139,
-0.056264281272888184,
0.364093542098999,
0.5095854997634888,
0.44348210096359253,
-0.6241390109062195,
-0.6406276226043701,
-0.1914062649011612,
-0.9520443677902222,... |
Teacher: In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be l... | Non-hateful | 2 | NIv2 | task334_hateeval_classification_hate_es | fs_opt | [
-0.07520022988319397,
0.026039276272058487,
0.4606184959411621,
0.670245349407196,
-0.3331948518753052,
-1.2295973300933838,
0.016277458518743515,
1.3292509317398071,
0.43834561109542847,
-0.06493863463401794,
-0.17210787534713745,
-0.10797031223773956,
-0.18894729018211365,
-0.68408292531... |
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 -
'.': Period symbol is used f... | Output: DET
| 2 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.21758456528186798,
0.039178427308797836,
-0.14833661913871765,
-0.021180540323257446,
-0.024891270324587822,
-0.6871300935745239,
0.5614476203918457,
0.7436847686767578,
-0.29542189836502075,
-0.09794218093156815,
-0.729854941368103,
-0.11624159663915634,
-0.5185413360595703,
0.229956731... |
In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
['f', 'u', '9025', 'i', 'n', '1125', 'i', '2289', 'g', '6057', ... | f, g, i, j, k, n, r, s, t, u | 0 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.6710564494132996,
0.23534663021564484,
0.11169946193695068,
0.0007563594845123589,
0.5729729533195496,
0.3660089671611786,
0.40849921107292175,
-0.16851122677326202,
-0.74864262342453,
0.43371817469596863,
-0.5363630056381226,
-0.4827386140823364,
-0.4129675328731537,
-0.080750405788421... |
Q: In this task, given a sentence in the English language, your task is to convert it into the Thai language.
It is not known what the effect of the ACS failure will have on the scheduled mission.
A: | ยังไม่มีใครรู้ว่าความล้มเหลวของ ACS จะมีผลต่อภารกิจที่กำหนดไว้อย่างไร | 7 | NIv2 | task551_alt_translation_en_th | zs_opt | [
-0.3515654504299164,
0.34533265233039856,
0.2430090308189392,
-0.3978307843208313,
0.749451756477356,
-0.5176589488983154,
0.34954583644866943,
0.9417870044708252,
-0.492411345243454,
0.7066121101379395,
-0.048894818872213364,
-0.07628069818019867,
0.40065211057662964,
0.44459429383277893,... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (co... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', ... | 1 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.14808019995689392,
-0.2842360734939575,
-0.09303377568721771,
0.1383545994758606,
0.4036930203437805,
-0.7000067234039307,
0.5195352435112,
1.0134309530258179,
-0.4723023772239685,
0.23427081108093262,
-0.01403738372027874,
-0.39321139454841614,
-0.2429974377155304,
0.12155050784349442,
... |
Definition: A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: અમદાવાદ શોપિંગ ફેસ્ટિવલ 201 ભારતની આ પ્રકારની સૌથી પહેલી ઇવેન્ટ છે અને શહેરનાં ઉદ્યોગસાહસિકોને તેમનાં ઉત્પાદનો દર્શાવવાની તક પૂરી પા... | अहमदाबाद शॉपिंग फेस्टीवल हा भारतातील अशा प्रकारचा पहिलाच महोत्सव आहे. शहरातील उद्योगांना त्यांची उत्पादने सादर करण्यासाठी यामुळे संधी मिळेल. | 2 | NIv2 | task983_pib_translation_gujarati_marathi | zs_opt | [
-0.1449909657239914,
0.3760839104652405,
0.39582186937332153,
0.23335698246955872,
0.14054837822914124,
-0.7529120445251465,
-0.24508729577064514,
0.38333839178085327,
-0.17593470215797424,
0.3190966248512268,
-0.8246142268180847,
0.13783636689186096,
-0.5904310345649719,
0.043881662189960... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Let me give you an example: Comment: your posts shows you are stupid period
The answer to this... | Non-insult | 8 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.9740599393844604,
0.9770676493644714,
0.808807373046875,
-0.08743719756603241,
-0.12149980664253235,
-0.2281147539615631,
0.5624932050704956,
0.7756181955337524,
0.4549253582954407,
0.17253410816192627,
0.10538104176521301,
0.37853527069091797,
-0.3829555809497833,
-0.6052470207214355,
... |
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.
Let me give you an example: ['238', 'h', '92', 'U', '2799']
The answer to this example can be: 238, 92, 2799
Here is why: Here, the numbers in the input list in or... | 6777, 3991, 4029, 8733, 4379 | 8 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
-0.5129063129425049,
0.31633245944976807,
-0.6157284379005432,
-0.6368614435195923,
-0.1713818609714508,
-0.1432517170906067,
0.5802464485168457,
-0.8185317516326904,
-0.40672051906585693,
0.09226281940937042,
-0.8615750074386597,
-0.42029792070388794,
0.23949262499809265,
0.23783855140209... |
Part 1. Definition
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Part 2. Example
[[5, 1, 2, 7], ... | [-145920, 156060, -12283920, 427680, -834372, 1177176] | 7 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.7903855443000793,
-0.0019603497348725796,
-1.0889742374420166,
-0.1664234697818756,
0.5372328758239746,
-0.15122780203819275,
1.1102752685546875,
0.8763795495033264,
-0.3267667889595032,
0.016446085646748543,
-1.0947558879852295,
0.003242171835154295,
-0.4661582112312317,
-0.279961585998... |
The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
<user> tbh... | retarded | 0 | NIv2 | task1504_hatexplain_answer_generation | zs_opt | [
-0.3592420220375061,
0.952884316444397,
0.31804919242858887,
0.8957438468933105,
-0.4616861343383789,
-0.27503421902656555,
-0.23982861638069153,
0.40617355704307556,
0.5484666228294373,
0.1970365345478058,
-0.6461882591247559,
-0.2294442057609558,
-0.11228711158037186,
-0.279243141412735,... |
Definition: In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s.
Input: ... | Roddick | 2 | NIv2 | task331_gap_incorrect_answer_generation | zs_opt | [
-0.5804493427276611,
0.9177162051200867,
0.08659252524375916,
-0.05076770484447479,
0.08941017836332321,
0.13733625411987305,
1.3783485889434814,
0.3138086199760437,
0.5519216656684875,
-0.7045868635177612,
-1.4198589324951172,
0.7455035448074341,
-0.554408073425293,
-0.23586267232894897,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse ... | the girl is going to squirt water at her friends
| 7 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
-0.4150972068309784,
0.6854073405265808,
-0.0721680074930191,
-1.025618076324463,
0.35997557640075684,
-0.4530966281890869,
-0.12279129773378372,
0.6598978638648987,
0.2900652289390564,
-0.05641593039035797,
-0.5282769203186035,
-0.4594690501689911,
-0.3640981614589691,
-0.4616502225399017... |
Given the task definition and input, reply with output. In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "Fal... | True | 5 | NIv2 | task1308_amazonreview_category_classification | zs_opt | [
-0.6946139335632324,
0.2713868021965027,
0.5745871067047119,
-0.2813107669353485,
0.4399380385875702,
0.06126159802079201,
0.5154802799224854,
0.0007910123094916344,
0.17283649742603302,
0.14753971993923187,
-0.5318713188171387,
-0.12756162881851196,
-0.8814045190811157,
-0.016341026872396... |
Definition: You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype i... | anti-stereotype | 2 | NIv2 | task320_stereoset_classification_race | zs_opt | [
-0.38539260625839233,
0.611243724822998,
0.20669054985046387,
-0.05869932472705841,
-0.054556719958782196,
-0.4017082154750824,
0.48848283290863037,
1.206929087638855,
0.41601935029029846,
-0.24861498177051544,
-0.24256747961044312,
0.14086633920669556,
-0.6436091661453247,
-0.327928066253... |
A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
One example: मंत्रिमंडळातील माझे सहकारी श्रीयुत जे
Solution is here: કેબિનેટ જેજેમાં મિસ્ટર એકાઉન્ટ
Explanation: Correct translation for given sentence... | આ મિશને એક વાર ફરી એ સાબિત કરી દીધું છે કે જ્યારે વાત નવા-નવા ક્ષેત્રમાં કંઈક નવીન કરી બતાવવાની હોય, નાવિન્યપૂર્ણ ઉત્સાહની હોય તો આપણા વૈજ્ઞાનિકો સર્વશ્રેષ્ઠ છે, વિશ્વસ્તરીય છે. | 6 | NIv2 | task984_pib_translation_marathi_gujarati | fs_opt | [
-0.5997805595397949,
0.5976381301879883,
-0.7126617431640625,
-0.09076094627380371,
0.5408638715744019,
-1.018591284751892,
-0.48712533712387085,
-0.22887083888053894,
0.015575524419546127,
0.15312911570072174,
-0.13484640419483185,
-0.35088515281677246,
-0.9057854413986206,
0.683106303215... |
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.
Comment: "Obama never pardoned somebody as despi... | Non-threat | 0 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.7498568296432495,
0.5988755226135254,
0.8815929293632507,
0.2938966751098633,
-0.12189416587352753,
-0.636497974395752,
1.1871912479400635,
1.0187654495239258,
0.07755815982818604,
0.16388626396656036,
-0.19326996803283691,
-0.07128924876451492,
-0.6799256801605225,
-0.6721968650817871,... |
TASK DEFINITION: Given a sentence in Bulgarian, generate a new Bulgarian 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 reasonabl... | Ако искате да летите в апартамент, тогава трябва да си купите билет.
| 8 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
-0.1449519842863083,
0.1516200453042984,
0.1607053428888321,
-0.19817963242530823,
-0.03872709721326828,
-0.25049909949302673,
1.4476341009140015,
1.1251630783081055,
-0.00840037502348423,
-0.014129778370261192,
-0.9040224552154541,
0.2919049859046936,
-0.848177433013916,
0.630274176597595... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a ... | green_suitcase | 4 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
-0.4375460147857666,
-0.2228635847568512,
0.10624691843986511,
-0.1133020892739296,
-0.40841490030288696,
-0.614452600479126,
0.3129749298095703,
0.3703356385231018,
0.2251981794834137,
-0.5491350889205933,
-0.5536680221557617,
0.6932519674301147,
0.029121514409780502,
0.018805813044309616... |
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.
Let me give you an example: passage: Franchising is a way for small business owners to benefit from the economies of scale of the big corporation (franchiser). McD... | No | 8 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
-0.09646923094987869,
0.6857669949531555,
-0.44263148307800293,
0.1638060212135315,
0.22550565004348755,
0.2566010355949402,
1.0546702146530151,
0.7197265625,
0.10058131068944931,
-0.08966367691755295,
-0.34481778740882874,
0.2384120672941208,
-0.573846161365509,
-0.13779187202453613,
0.... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Problem:Es muy difícil imaginar cómo va a quedar un sofá en la casa.
Solution: | It's really hard to imagine a sofa, how it's going to look in your house. | 8 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
0.1803453266620636,
0.7333040833473206,
-0.2420887053012848,
-0.35440731048583984,
0.1618308126926422,
-0.24693036079406738,
0.17203202843666077,
0.9500604271888733,
0.5556541085243225,
-0.5819742679595947,
0.4285784065723419,
0.6463958621025085,
-0.8938776850700378,
-0.15609873831272125,
... |
TASK DEFINITION: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
PROBLEM:... | not helping my siblings clean the kitchen after work
| 8 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.11549991369247437,
0.44300609827041626,
0.4317384958267212,
-0.6382478475570679,
0.5024394392967224,
-0.09124566614627838,
0.6792490482330322,
0.885330080986023,
-0.1292017251253128,
0.04814286530017853,
-0.12027303129434586,
0.325400710105896,
-0.7039863467216492,
0.22570906579494476,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
One example: Grazas.
Solution is here: Gracias.
Explanation: The Galician sentence is correctly translated into Spanish, because the meaning is preserved.
Now, solve this: Todas estas partes forman o noso sistema de apoi... | Todas estas partes son parte de nuestro sistema de soporte de vida. | 6 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-0.5029642581939697,
1.1276657581329346,
-0.014149900525808334,
-0.7561906576156616,
-0.20758208632469177,
-1.663039207458496,
1.0068494081497192,
0.4578301012516022,
0.13809120655059814,
-0.2033437192440033,
-0.795390248298645,
0.34581661224365234,
-0.7308588027954102,
0.6004390716552734,... |
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
One example: Gujarati: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
English: A herd... | No | 6 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt | [
-0.8325746059417725,
0.24929608404636383,
0.203291118144989,
0.2809075713157654,
0.28251832723617554,
-0.8722777366638184,
-0.12655416131019592,
0.5963629484176636,
-0.2355615347623825,
-0.179380863904953,
-0.6174929141998291,
0.41428902745246887,
-0.5500710010528564,
0.1138651967048645,
... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Problem:Sentence 1: yeah Fiel... | telephone | 8 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-1.3640981912612915,
0.31706705689430237,
-0.026887981221079826,
-0.7355131506919861,
-0.15944762527942657,
0.3602502942085266,
0.37155473232269287,
0.7068877816200256,
-0.025594381615519524,
-0.0697002112865448,
-0.27535948157310486,
-0.16590547561645508,
-0.5398385524749756,
-0.385630875... |
Q: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
James Jones sold drugs, he’d been in prison and he was out on parole, according to his family.
But Saturday, when a man started shooting at Jones and his mother on the South Side, the 21-... | A young Chicago drug dealer shielded his mother from gunfire yesterday and died in the process—leaving her with only one child who hasn't died from violence. Three out of four have now lost their lives, her sister tells the Chicago Sun-Times. In the latest killing, Alicia Jones' son, 21-year-old James Jones, was on the... | 7 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.6261475086212158,
0.8205453753471375,
-1.025583267211914,
0.014974638819694519,
0.23308353126049042,
-0.21664831042289734,
0.8710229992866516,
1.2106566429138184,
0.13383163511753082,
0.5029259920120239,
-0.3894535005092621,
0.7068355083465576,
-0.1655280590057373,
0.6120952367782593,
... |
Definition: 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 questi... | user | 2 | NIv2 | task1599_smcalflow_classification | zs_opt | [
-0.12896347045898438,
0.4349386692047119,
-0.3145236372947693,
0.03449949622154236,
0.03404849022626877,
-0.04929143935441971,
0.19184672832489014,
-0.10707731544971466,
0.5261756181716919,
0.12160994112491608,
-0.3934972882270813,
0.016014397144317627,
-0.5047218799591064,
0.4175123572349... |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Input: Consider Input: Sentence: A coffee shop serving Italian food for adults can b... | Output: price[moderate], rating[3 out of 5], cuisine[Italian]
| 2 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.3064407706260681,
0.4269598722457886,
-0.24405185878276825,
-0.446050226688385,
-0.07495689392089844,
0.3829599916934967,
0.7133108377456665,
1.1519505977630615,
0.4210652709007263,
0.00468722078949213,
0.678020179271698,
-0.3997781276702881,
-0.28629183769226074,
-0.02818872407078743,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
This made great rice, and steamed vegetables perfectly. However, I purchased it in May and by October the rice cooker didn’t cook t... | Rice cooker stopped working properly after 6 uses. | 1 | NIv2 | task618_amazonreview_summary_text_generation | zs_opt | [
0.778537929058075,
0.573501467704773,
-0.5197139978408813,
-0.3389953374862671,
-0.27915072441101074,
-0.32365745306015015,
0.853235125541687,
0.5827622413635254,
-0.5910871624946594,
0.3536965847015381,
-0.11738687753677368,
-0.09517668187618256,
-0.2260507047176361,
0.09506330639123917,
... |
Given the task definition and input, reply with output. 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.
Context_1 : Alaskan Natives have a special connectio... | no | 5 | NIv2 | task170_hotpotqa_answer_generation | zs_opt | [
0.5436079502105713,
-0.19496962428092957,
-0.662735104560852,
0.0479518324136734,
0.23193076252937317,
-0.515475869178772,
0.535555362701416,
1.0735130310058594,
-0.43352505564689636,
0.2260645180940628,
-0.3593425750732422,
0.5025637149810791,
-0.9389643669128418,
0.34385424852371216,
0... |
Given the task definition and input, reply with output. In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
YpsdeXRSxnxSgzWyhtManzcembLuNKa, dSlWTdLeCwfNuxSgzWyhtManzcemVOsrdpAAM
| a, c, d, e, f, g, h, l, m, n, o, p, r, s, t, u, v, w, x, y, z | 5 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | zs_opt | [
-0.443540096282959,
0.8507784605026245,
0.1254495531320572,
-0.37254974246025085,
0.0019184916745871305,
0.034786656498909,
1.1256338357925415,
-0.6130383610725403,
0.16011905670166016,
-0.32964253425598145,
-0.6674009561538696,
0.10288292169570923,
0.40379518270492554,
-0.1400380134582519... |
Teacher: You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence1: While it was being called mandatory , Dupont said authorities were... | Yes | 2 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
-0.6116961240768433,
0.48650869727134705,
0.469323992729187,
-0.08435065299272537,
-0.13069167733192444,
-0.6656322479248047,
0.578027606010437,
1.0414098501205444,
0.31440651416778564,
-0.038811519742012024,
-0.6296675205230713,
0.1009306088089943,
-0.3861425518989563,
-0.3241207599639892... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Input: Consider Input: Quando estiverem cansados de abrir e fechar aquelas persianas, dia após dia, quando estiverem de férias, e não houver ninguém aos fim de semana para ligar e desligar os controlos, ou quando fal... | Output: Pocos años después, un lago similar penetra sus presas y causa estragos en los valles.
| 2 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
-0.7584360837936401,
0.5675631761550903,
-0.6025230884552002,
0.0009902857709676027,
-0.17235706746578217,
-1.1597610712051392,
0.10081671178340912,
1.3034591674804688,
-0.1806531697511673,
0.15990248322486877,
-0.36163991689682007,
0.2709864377975464,
-0.08365321159362793,
-0.028429135680... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
[EX Q]: Okay, everybody. Eyes over here.
[EX A]: حسناً جميعكم أعينكم هنا
[EX Q]: - Restrictions or regulations, if any, placed on the movement of precious commodities such as gold, diamonds and other related items.... | وشدّد المتكلّمون على استنتاجات الفريق الرفيع المستوى المعني بالتهديدات والتحدّيات والتغيير، وكذلك على تقرير الأمين العام، وعنوانه: "في جو من الحرّية أفسح - صوب تحقيق التنمية والأمن وحقوق الانسان للجميع" (A/59/2005) الذي يبيّن توصيات وإجراءات محدّدة لازمة لتمكين هذه الهيئة العالمية من مكافحة التهديدين المعاصرين والمتراب... | 6 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
0.4029267132282257,
0.3924902379512787,
-0.12580350041389465,
-0.7070467472076416,
-0.21190476417541504,
-0.4194241762161255,
-0.18169383704662323,
0.8679793477058411,
-0.13986414670944214,
0.11059066653251648,
-0.7199793457984924,
0.184541255235672,
-0.54707932472229,
0.10000596940517426,... |
Detailed Instructions: This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
See one example below:
Problem: Giraffes like Acacia leaves and hay, and they can consume 75 pounds of food a day.
Soluti... | you should go say good-bye . | 4 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
-0.5055831670761108,
0.6962764859199524,
0.4511982798576355,
-0.14695197343826294,
-0.2942517399787903,
-0.8113543391227722,
0.4679480791091919,
0.4845445156097412,
-0.21255871653556824,
-0.07097305357456207,
-0.5543153882026672,
-0.008416515775024891,
-0.3779255151748657,
1.08294260501861... |
Given the task definition and input, reply with output. 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.
[5, -51, -32, -78, ... | [5, -32, 41] | 5 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
-0.11903032660484314,
0.2069438099861145,
-0.2538051903247833,
-0.26079854369163513,
0.45014503598213196,
0.2706204652786255,
0.903854250907898,
0.012732449918985367,
-0.34778082370758057,
0.07764707505702972,
-0.7601621747016907,
-0.23616009950637817,
-0.18588723242282867,
-0.146562784910... |
Q: You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one corre... | B | 7 | NIv2 | task228_arc_answer_generation_easy | zs_opt | [
0.3683433532714844,
0.8573706746101379,
-0.5625900030136108,
-0.7084969878196716,
-0.8498014211654663,
-1.2912969589233398,
0.9434309005737305,
0.8251638412475586,
0.23030319809913635,
-0.08336684107780457,
-0.057625237852334976,
0.06391332298517227,
0.2299513816833496,
-0.1480643004179000... |
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