inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Ex Input:
Solíamos pensar que la Tierra es plana porque se ve de esa manera.
Ex Output:
تعودنا على إن الأرض مسطحة لأنها تبدو كذلك
Ex Input:
Para un león bien alimentado que busca aparearse, no mejora su condición.
Ex Ou... | وهذا حيث نجد الأغلبية الإسلامية.
| 1 | NIv2 | task1228_ted_translation_es_ar | fs_opt | [
-0.9696258306503296,
0.769037127494812,
-0.3124024271965027,
-0.9447318315505981,
-0.6044492721557617,
-0.1699308305978775,
0.8136101961135864,
0.5473349094390869,
0.2620975375175476,
-0.18649262189865112,
-0.8932838439941406,
0.37165752053260803,
-1.1425758600234985,
0.26996123790740967,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
[Temos que desenterrar a palavra perdida,] [e lembrar-nos do que dizem o sangue,] [a maré, a terra e o corpo] [e voltar ao ponto de partida.... | [Musimy znaleźć utracone słowo,] [I pamiętać o tym, co krew,] [Pływy, Ziemia, i ciało mówią,] [I wrócić do punktu wyjścia...] (Muzyka) (Brawa) ["" Cloudburst "" Octavio Paz] [tłumaczenie: Lysander Kemp, adaptacja: Eric Whitacre] Eric Whitacre: Beth, Annabelle, Jacob gdzie jesteście? (Brawa) | 1 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.04613503813743591,
1.2663776874542236,
-0.3735027611255646,
0.22724424302577972,
-0.3843000531196594,
-0.18999993801116943,
1.311946988105774,
-0.5051295161247253,
-0.08848518133163452,
-0.14860433340072632,
-0.004691318143159151,
-0.20491717755794525,
-0.7885293364524841,
0.14399777352... |
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
Let me ... | ram IsA sheep | 8 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
0.29653942584991455,
1.1282918453216553,
0.0748252421617508,
-0.3434075713157654,
-0.6035841703414917,
-0.29361504316329956,
0.450743168592453,
0.5297979116439819,
0.533486008644104,
-0.4605681896209717,
-0.7061156034469604,
0.4631388187408447,
-0.8061939477920532,
0.1011132150888443,
0.... |
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 event. You ... | No | 3 | NIv2 | task1212_atomic_classification_hasproperty | zs_opt | [
0.10990101099014282,
0.12148472666740417,
0.4784616231918335,
-0.08730784058570862,
-0.4974585473537445,
-0.8691754341125488,
1.0515888929367065,
0.440247118473053,
-0.3416816294193268,
-0.21208316087722778,
-0.48430299758911133,
-0.42792046070098877,
-0.5436648726463318,
0.142450630664825... |
Detailed Instructions: This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a sentence in Arabic and the output is the classified sent... | NEGATIVE | 9 | NIv2 | task1414_ajgt_twitter_ar_classification | zs_opt | [
-0.9556273221969604,
-0.6155084371566772,
1.0842938423156738,
-0.47651010751724243,
0.2378627508878708,
-0.8755251169204712,
0.8393398523330688,
0.4194721579551697,
0.3993871808052063,
0.14215649664402008,
-0.8381744027137756,
-0.4263112545013428,
-0.6825584173202515,
0.04547368362545967,
... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
[Q]: After these tiresome labors, she must do her lessons,
[A]: بعد از این کارهای خسته کننده، او باید درسهایش را انجام میداد،
[Q]: indeed, he seemed leisurely to read my face,
[A]: در واقع، به نظر میرسید که از خواندن... | تو مجاز نیستی طلب کنی؛ هیچ حقی نداری از این غربت و تنهایی خود انتظار نفعی داشته باشی.
| 5 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
-0.5557677745819092,
0.6237280964851379,
0.016623765230178833,
-0.9295408129692078,
-0.5248973369598389,
-0.26752299070358276,
0.6284627914428711,
-0.0356542244553566,
0.21443632245063782,
-0.5016689300537109,
0.0433444119989872,
-0.28674447536468506,
-0.1392444372177124,
0.355515629053115... |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example Input: Review: "8 SIMPLE RULES... FOR DATING MY TEENAGE DA... | yes
| 3 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.41646355390548706,
-0.26211920380592346,
0.005397509317845106,
-0.23662589490413666,
0.7959522604942322,
-0.8568884134292603,
0.7252217531204224,
0.9108260869979858,
-0.38493025302886963,
0.03601451218128204,
-0.266227126121521,
-0.6360423564910889,
-0.34644198417663574,
-0.471252530813... |
Instructions: A text is given in Tamil. Translate it from the Tamil language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: 6 ملین غیر ملکی سیاح ہندوستان آئے
Output: | இந்தியாவிற்கு வருகை தரும் வெளிநாட்டு சுற்றுலாப் பயணிகளின் எண்ணிக்கை அதிகரிப்பு – பொருளாதார ஆய்வறிக்கை | 3 | NIv2 | task1036_pib_translation_urdu_tamil | zs_opt | [
0.06666706502437592,
0.7509143352508545,
-0.18010032176971436,
-0.20304185152053833,
-0.04566790163516998,
-0.5358986258506775,
-0.28230005502700806,
-0.40734463930130005,
-0.3063187897205353,
-0.2278241515159607,
-0.2627813220024109,
0.2214389592409134,
-0.5899624824523926,
-0.49825081229... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to u... | The driver drives >Causes/Enables> The driver stops | 9 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
-0.08229244500398636,
0.20945701003074646,
0.04338124021887779,
-0.22408615052700043,
-0.21514534950256348,
-0.35780563950538635,
0.6316941976547241,
0.7168501019477844,
-0.5821161270141602,
0.15141597390174866,
-0.6393788456916809,
0.14870259165763855,
0.11816050112247467,
-0.540949702262... |
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "ac... | acceptable | 6 | NIv2 | task616_cola_classification | fs_opt | [
-0.1966783106327057,
0.6920083165168762,
0.4666898250579834,
0.03145552799105644,
0.1645384430885315,
-1.158146619796753,
0.7159630060195923,
0.3082990050315857,
0.6594144105911255,
0.1720656454563141,
-0.9486243724822998,
-0.3108214735984802,
-0.39039531350135803,
0.07786983251571655,
-... |
Teacher: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].
Teacher: Now, understand the proble... | Manchester United | 6 | NIv2 | task339_record_answer_generation | zs_opt | [
0.14479883015155792,
0.48697465658187866,
-0.28825387358665466,
-0.6860564947128296,
0.19260717928409576,
-0.7387813329696655,
0.23069891333580017,
0.23384806513786316,
-0.07784883677959442,
-0.04465227201581001,
-0.155595600605011,
0.15360915660858154,
-0.7396936416625977,
0.3711014986038... |
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
[EX Q]: Trackball feels as though its running with occasional grains of sand. Esc Key needed to \\"get things going\\" on first use. Key 7 fell out and seems to be partially broken as it won't clip back in as securely as the other... | Negative Review
| 6 | NIv2 | task1343_amazon_us_reviews_rating | fs_opt | [
-0.12732654809951782,
0.2065666764974594,
-0.307560533285141,
-0.32391953468322754,
-0.012195753864943981,
-0.2256164848804474,
0.586811900138855,
0.5039757490158081,
0.15278229117393494,
0.2482818365097046,
0.432779997587204,
0.2697880268096924,
-0.3281082212924957,
0.2633642256259918,
... |
Instructions: Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Input: Question: What is the sum of the massess of the atoms in a molecule? Answer: molecular mass
Output: | The molecular mass is the sum of the masses of the atoms in a molecule. | 3 | NIv2 | task593_sciq_explanation_generation | zs_opt | [
1.746584415435791,
0.785922646522522,
-0.45504841208457947,
-1.0385589599609375,
0.03426697850227356,
-0.9920901656150818,
-0.5264343023300171,
0.21818944811820984,
-0.0961981862783432,
-0.13653409481048584,
-1.006152629852295,
0.055331841111183167,
-0.08678317070007324,
-0.263386487960815... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Q: الاجابة هي نسبة 2 بالمئة
A: La respuesta resulta ser un 2%.
****
Q: وبعد إنتاج الفيلم بستين عاماً و بعد ثلاثين عاماً منذ مشاهدتي له أول مرة, أرى وجوهاً شابة تميل للأعلى في رهبة, تشككهم يطابق تشككي.
A: Sesenta años despu... | Activa lo que se llama el puente de zumbido, o perro.
****
| 4 | NIv2 | task1232_ted_translation_ar_es | fs_opt | [
-0.5682269334793091,
0.7796787619590759,
0.1212218701839447,
0.13725146651268005,
-0.27893388271331787,
0.4175366759300232,
0.6522149443626404,
0.47589820623397827,
0.1464059054851532,
-0.40430447459220886,
-0.5524322390556335,
0.08164504170417786,
-0.5875414609909058,
0.5297537446022034,
... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Q: 1, 1, ['2381', '4493']
A: 2381
*... | g, c, n
****
| 4 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
-0.35902684926986694,
0.2510383427143097,
-0.412910521030426,
-0.4419713020324707,
-0.3859640955924988,
-0.17659667134284973,
1.0758665800094604,
-0.40973639488220215,
-0.6173784136772156,
0.19161507487297058,
-1.1394314765930176,
-0.32134029269218445,
-0.07175588607788086,
-0.265121042728... |
Given the task definition and input, reply with output. In this task you are given a medical question pair hand-generated. Your task is to classify a given post into two categories 1) 'Similar' if the given two questions have a same connotation 2) 'Dissimilar' if the given two questions have a different connotation or ... | Similar | 5 | NIv2 | task1645_medical_question_pair_dataset_text_classification | zs_opt | [
-0.9780177474021912,
0.36956533789634705,
-0.2009790539741516,
-0.04988027364015579,
-0.32368287444114685,
0.2524349093437195,
0.41821902990341187,
0.47256940603256226,
0.5509657859802246,
-0.13736552000045776,
-0.8900462985038757,
0.2635308504104614,
-0.2528717517852783,
0.115663312375545... |
Definition: You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Input: UEFA Champions League 2019: ilé ló máa bọ́sí fàwọn ọmọ Afrika loni
Output: | Sport | 2 | NIv2 | task612_yorubabbc_classification | zs_opt | [
0.5567996501922607,
0.17447668313980103,
-0.37389397621154785,
0.21227875351905823,
-0.031539902091026306,
-0.3619846701622009,
-0.1720815896987915,
-0.2202046811580658,
0.3847142457962036,
-0.16859889030456543,
-0.2911783456802368,
0.11464977264404297,
-0.8766634464263916,
-0.137431949377... |
You will be given a definition of a task first, then some input of the task.
You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: आबेल टास्मान (डच: Abel Ta... | डच | 1 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
0.2600453495979309,
0.39281436800956726,
-0.2525900602340698,
-0.3274551331996918,
-0.34627193212509155,
0.09882423281669617,
0.2318713515996933,
-0.3576812744140625,
0.48691147565841675,
0.1503649652004242,
0.22823038697242737,
0.19307994842529297,
-0.16337481141090393,
-0.240969002246856... |
Detailed Instructions: In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to ... | Sam missed and the football hit a window next door. | 9 | NIv2 | task067_abductivenli_answer_generation | zs_opt | [
-0.18434248864650726,
1.0636498928070068,
0.10547331720590591,
-0.5601373314857483,
-0.3723072111606598,
-0.06625992059707642,
0.865507960319519,
0.38056036829948425,
0.04545783996582031,
-0.05252484977245331,
-0.22492724657058716,
0.9374948740005493,
-0.49126046895980835,
-0.0127741713076... |
Definition: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Input: و در نهايت كودك را مرخص كردند.
Output: | E ían deixar marchar ao neno. | 2 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-0.9858354330062866,
0.9671430587768555,
-0.8121874332427979,
-0.8019249439239502,
-1.0290613174438477,
-0.23082326352596283,
0.4101516604423523,
0.4505925476551056,
0.6567894220352173,
-0.41227319836616516,
-0.4145861268043518,
0.6516484022140503,
-0.16821667551994324,
0.61456298828125,
... |
In this task your given a passage and a question in Catalan, you must answer the question based on the passage. The answer to the question can be extracted directly from the passage. The question will have a single correct answer. The answer will be a continuous span of text from the given passage. The correct answer w... | de dimorfisme sexual
| 1 | NIv2 | task837_viquiquad_answer_generation | fs_opt | [
0.030151810497045517,
0.8961857557296753,
-0.622124969959259,
0.8081340789794922,
0.08255872130393982,
-0.4305489957332611,
0.5695104598999023,
0.5806704759597778,
-0.5686924457550049,
0.5388482213020325,
-0.43036407232284546,
0.441808819770813,
0.3738018572330475,
0.07443622499704361,
0... |
Given a paragraph about movies and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix... | Yes | 4 | NIv2 | task1442_doqa_movies_isanswerable | zs_opt | [
0.22534732520580292,
-0.07785997539758682,
-0.3259112238883972,
0.9726370573043823,
0.28957992792129517,
0.1751309633255005,
0.33961331844329834,
0.868774950504303,
-0.3543738126754761,
0.5347630381584167,
0.23189440369606018,
-0.2723710536956787,
-0.5252523422241211,
0.31912484765052795,
... |
Teacher:In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Teacher: Now, understand the problem? Solve this instance: 24085
Student: | No | 6 | NIv2 | task092_check_prime_classification | zs_opt | [
-0.42422202229499817,
0.4756985306739807,
0.2502242624759674,
-0.5210755467414856,
-0.2845960557460785,
-0.2282748818397522,
0.6768413782119751,
0.7134330868721008,
0.01240078080445528,
0.15471312403678894,
-0.6490952968597412,
-0.37565332651138306,
-0.6966871023178101,
-0.4686215519905090... |
Detailed Instructions: Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
Q: news:Both operating profit and net sales for the 12-month period increased , respectively from EUR4 .7... | false | 9 | NIv2 | task844_financial_phrasebank_classification | zs_opt | [
-0.9082350730895996,
0.31000304222106934,
-0.4921966791152954,
0.723380446434021,
-0.3201005458831787,
-0.630770206451416,
0.3665092885494232,
0.5313959121704102,
0.3474103808403015,
0.06271972507238388,
-0.2846245765686035,
0.040477462112903595,
-0.31559208035469055,
-0.36173635721206665,... |
Q: You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous... | surprise | 7 | NIv2 | task1663_cedr_ru_incorrect_classification | zs_opt | [
-0.8561071157455444,
-0.20787188410758972,
0.24629661440849304,
-0.09241853654384613,
-0.4134639501571655,
-0.5010268092155457,
0.7883492708206177,
0.38152241706848145,
0.06364195048809052,
-0.4026110768318176,
0.10120127350091934,
-0.2709331512451172,
-0.7801083922386169,
0.12532807886600... |
Given the task definition and input, reply with output. In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as th... | Alphabets Win | 5 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
-0.08794461190700531,
0.48416435718536377,
-0.43768101930618286,
-0.06817435473203659,
-0.39956071972846985,
-0.6457481384277344,
0.10640767216682434,
-0.3484351634979248,
0.47667431831359863,
0.00587793905287981,
-1.1791877746582031,
0.26087281107902527,
-0.0552501305937767,
0.13162602484... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
درواقع قادرند دولت را بسازند.
A: | Na realidade, podem modelar a governação. | 7 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.5220930576324463,
1.8752424716949463,
0.7187911868095398,
-0.3757750988006592,
-0.6318414211273193,
-0.19076192378997803,
0.29691082239151,
0.9586504697799683,
0.9209566712379456,
-0.3059583902359009,
-1.044105052947998,
0.38682258129119873,
0.3148065507411957,
0.07807473838329315,
0.... |
Detailed Instructions: In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Prob... | 7793 | 8 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
-0.03639664873480797,
0.6845859289169312,
-0.30070760846138,
-0.12170139700174332,
-0.5772659182548523,
-0.06523991376161575,
0.5399864315986633,
0.6558539867401123,
0.14197759330272675,
-0.44687145948410034,
-1.04951012134552,
-0.6430918574333191,
-0.23058024048805237,
0.442883163690567,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be compl... | How does Connie meet Paul? | 1 | NIv2 | task193_duorc_question_generation | fs_opt | [
0.33861055970191956,
0.358237624168396,
-0.3323129713535309,
-0.17736446857452393,
0.27140623331069946,
-0.22906391322612762,
0.7700759172439575,
0.799957811832428,
0.14416569471359253,
-0.15036511421203613,
-0.2187587469816208,
0.2689236104488373,
-0.4623916745185852,
0.1650300920009613,
... |
Teacher: In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to cre... | How old was Warren Harding the year Coolidge was born? | 2 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
-0.18136556446552277,
0.7976066470146179,
-0.3370690941810608,
-0.3087565302848816,
0.19207389652729034,
-0.9259277582168579,
-0.16261988878250122,
0.9943524599075317,
0.34045517444610596,
-0.10165809839963913,
0.01781666837632656,
0.22040675580501556,
-1.0868604183197021,
0.32050541043281... |
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.
Input: Consider Input: passage: The services are restricted to debit cards where the merchant pays a fixed fee for the transaction, it is not offered on payments b... | Output: Yes
| 2 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
0.33994588255882263,
0.760326623916626,
-0.7157965302467346,
-0.7073608636856079,
0.16420498490333557,
-0.7809457778930664,
0.6479930877685547,
0.8193556070327759,
0.29519036412239075,
0.9039584994316101,
-0.12488557398319244,
0.045054905116558075,
-0.4679669141769409,
0.1266074925661087,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classi... | Geopolitical | 1 | NIv2 | task1494_bengali_hate_speech_classification | fs_opt | [
-0.5773789882659912,
0.39086902141571045,
0.37612152099609375,
0.5761372447013855,
0.07345232367515564,
-0.3703930675983429,
0.44655776023864746,
0.5372849702835083,
-0.05424899980425835,
0.20522025227546692,
-0.4615037143230438,
-0.07349391281604767,
0.35236936807632446,
-0.62249809503555... |
You will be given a definition of a task first, then some input of the task.
Categorize the comment on the basis of insult. If the comment is insulting output Yes, otherwise output No.
Rivers Need Water! What will EWEB do to offset or mitigate the environmental impact of removing this water from the Wilamette? Fish mo... | Yes | 1 | NIv2 | task1724_civil_comments_insult_classification | zs_opt | [
-1.009963870048523,
0.6372278928756714,
0.5394577980041504,
0.3162326216697693,
0.0003819850389845669,
-1.1357295513153076,
0.5181287527084351,
0.7522157430648804,
-0.09445669502019882,
0.3419725298881531,
0.3040938079357147,
-0.20264554023742676,
-0.7014344930648804,
-0.7625242471694946,
... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes
| 3 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.4090788960456848,
-0.09907053411006927,
0.13236400485038757,
0.0690746158361435,
-0.4523666501045227,
-1.3517338037490845,
1.3447679281234741,
0.9625007510185242,
-0.6082057952880859,
-0.2582246959209442,
-0.3355867862701416,
0.10286211967468262,
-0.9970746636390686,
0.2547540068626404,
... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes | 8 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.3227657079696655,
0.04919556528329849,
0.41207170486450195,
-0.01268362533301115,
-0.7140160799026489,
-1.2381280660629272,
0.8172726035118103,
0.45415592193603516,
-1.024730920791626,
-0.48981374502182007,
-0.4111544191837311,
-0.8551478981971741,
-0.9143069386482239,
0.0816265419125557... |
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... | N
| 5 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-0.8819477558135986,
0.23840156197547913,
0.2544671595096588,
-0.4440721273422241,
-0.0036858567036688328,
0.13080403208732605,
-0.029719162732362747,
0.8531359434127808,
0.4071494936943054,
-0.02991056814789772,
-0.5323678255081177,
0.41180434823036194,
-0.4139708876609802,
-0.25390735268... |
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 sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Somali sentence: Lionel Messi waa ciyaaryahanka ugu weyn kubadda c... | Second. Allah Ta'ala will eliminate difficulties and sadness in the world and the hereafter for those who tauhid. | 0 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
-0.31558090448379517,
0.8731282353401184,
-0.1061762347817421,
-0.3950091004371643,
0.044641394168138504,
-0.7230600118637085,
-0.10035791993141174,
0.5311878323554993,
0.6437748670578003,
-0.15995930135250092,
-0.22254550457000732,
1.1021556854248047,
-0.9878308773040771,
0.12429811060428... |
Detailed Instructions: 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 | 8 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.23848837614059448,
0.663301944732666,
0.5671871900558472,
0.4460315704345703,
0.08538221567869186,
-1.092660903930664,
0.08831341564655304,
0.7515982389450073,
0.5320408344268799,
0.32909420132637024,
-0.24398015439510345,
-0.7286819219589233,
-0.35900095105171204,
-1.4153110980987549,
... |
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Example Input: Tuesday, September 11, 2001, dawned temperate and nearly cloudless in the eastern United States... | No
| 3 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.13023997843265533,
0.46041062474250793,
-0.5777955055236816,
0.1113688200712204,
0.28354978561401367,
-0.009380665607750416,
0.6693246364593506,
0.7938106060028076,
-0.2750910520553589,
0.5435858964920044,
0.057735998183488846,
0.21021875739097595,
-0.006264279596507549,
0.07657606899738... |
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 deter... | Yes
| 5 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.2947837710380554,
0.10449784249067307,
0.461068332195282,
-0.13470911979675293,
-0.5504417419433594,
-1.0000176429748535,
1.2378578186035156,
0.5569546818733215,
-0.6279944777488708,
-0.5252019166946411,
-0.5750019550323486,
-0.18763111531734467,
-0.69667649269104,
0.29704615473747253,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
الیسون گینسبرگ: عصر بخیر
Output: | Allison Ginsburg: Good evening. | 1 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
-0.9441544413566589,
0.8600671887397766,
0.357697069644928,
0.11265213787555695,
-0.8140925168991089,
0.39548903703689575,
0.5879789590835571,
-0.8716827630996704,
0.21695509552955627,
0.1582367867231369,
-0.6932580471038818,
0.1592819094657898,
-0.5589116811752319,
0.12500819563865662,
... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one tha... | b | 6 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
-0.04608380049467087,
0.0741564929485321,
-0.28371575474739075,
0.4041585326194763,
0.35425829887390137,
-0.2996303141117096,
0.2550433278083801,
1.058870553970337,
-0.31069254875183105,
0.5746728181838989,
-0.787050187587738,
0.05675051733851433,
-0.16385170817375183,
-0.23675142228603363... |
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the auth... | no
| 0 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.4331304728984833,
0.34941667318344116,
-0.08413124829530716,
0.10990750044584274,
0.026924602687358856,
-0.5886578559875488,
0.5600236654281616,
1.5357375144958496,
-0.49860578775405884,
-0.26875412464141846,
0.0958670824766159,
0.37511155009269714,
-0.2864234447479248,
-0.06533694267272... |
Detailed Instructions: In this task you are given a premise and two alternatives in Italian. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based ... | 1 | 9 | NIv2 | task1172_xcopa_commonsense_reasoning_it | zs_opt | [
-0.40629690885543823,
0.7982558608055115,
0.31682538986206055,
0.8027978539466858,
-0.2116999626159668,
-0.49339693784713745,
0.13427472114562988,
1.3160889148712158,
0.14453063905239105,
0.4274994134902954,
-0.4177204370498657,
0.4053882956504822,
0.01033148355782032,
0.06416818499565125,... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Q: اما البلدان ذات الدخل المتوسط فاني اقترح دائما على طلابي ان يتوقفوا عن وصفهم ب "" العالم النامي "" لانه وبالنتيجة, الحديث عن العالم النامي هو كالحديث عن فصلين من تاريخ الولايات المتحدة
A: | Kraje o przeciętnym W tym miejscu mówię moim studentom: Zarzućcie pojęcie "" krajów rozwijających się "", bo w gruncie rzeczy, mówienie o "" krajach rozwijających się "" przypomina sprowadzanie historii Stanów Zjednoczonych do dwóch rozdziałów. | 9 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
-0.18922850489616394,
0.44073987007141113,
0.2693357467651367,
-0.6226910948753357,
-0.24373304843902588,
0.056274402886629105,
0.11205990612506866,
1.094826102256775,
-0.17265433073043823,
0.3108600676059723,
-0.26302433013916016,
-0.5178048610687256,
-0.4570814371109009,
-0.0332473665475... |
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 given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output ... | [78, -18, -15.5, -16.5, 15.5, -210, 13.5, 18.5] | 0 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.11995656788349152,
0.7413089275360107,
-0.21493947505950928,
-0.27673816680908203,
0.23689694702625275,
-0.05317583680152893,
1.1211830377578735,
0.360617995262146,
0.10113182663917542,
0.15834927558898926,
-0.5034404993057251,
-0.6117171049118042,
-0.41714680194854736,
0.05332703888416... |
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.
Title: Accident. Sentence 1: John was playing basketball. Sentence 2: He went to jump up and fell. Sentence 3: As ... | The doctor diagnosed him with a torn ligament. | 0 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
0.22541961073875427,
1.3367549180984497,
0.2525455951690674,
-0.41349101066589355,
0.08048725128173828,
0.41422030329704285,
0.6985008716583252,
0.5844436883926392,
0.04746374487876892,
-0.4696776866912842,
-0.782340407371521,
0.15208642184734344,
-0.3571096658706665,
0.4340352416038513,
... |
Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the even... | Yes | 3 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.07036516815423965,
0.24721208214759827,
0.31700173020362854,
-0.22946497797966003,
-0.7020366787910461,
-1.2922403812408447,
0.5527091026306152,
0.47200465202331543,
-1.1773478984832764,
-0.24893996119499207,
-0.4948158860206604,
-1.0852546691894531,
-0.1721276044845581,
0.03314658999443... |
Q: Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Poster: My offices in DC and Oregon have internship opportunities a... | Neutral | 7 | NIv2 | task823_peixian-rtgender_sentiment_analysis | zs_opt | [
-1.033373475074768,
0.06926801800727844,
0.3075363337993622,
-0.18042999505996704,
0.47079306840896606,
-0.5396979451179504,
0.40889227390289307,
0.5977288484573364,
1.041971206665039,
0.6509547829627991,
0.49235689640045166,
-0.09393880516290665,
-0.07361142337322235,
-0.3872424066066742,... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Problem:אני מדבר על הסימביוזה בין אדם למחשב של ג 'יי סי אר ליקלידר שיותר טוב לכנות אותה "" ריבוד אינטיליגנציה "".
Solution: | إني أتحدث عن رؤية جوزيف كارل روبنت ليكليدر لتعايش الإنسان مع الكمبيوتر ، والتي يطلق عليها "" زيادة الذكاء "" ، | 8 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.7123540639877319,
0.4543190896511078,
-0.0948038101196289,
-0.031030705198645592,
-0.0963677167892456,
0.6372256278991699,
1.3838295936584473,
-0.04231592267751694,
0.48823583126068115,
-0.09318987280130386,
-0.6777045130729675,
-0.08872479945421219,
-0.7259343862533569,
1.0234166383743... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
[EX Q]: آهسته دو بسیار بی صدا به راهش ادامه داد.
[EX A]: Slowly and very silently it took its way.
[EX Q]: دستور دادم، در صورتی که او بخواهد رفتار عاقلانهای در پیش گیرد، انضباط به نحو قابل ملاحظهای سست شود؛
[EX A]: I o... | Laurie came every day, and wheedled Aunt March till Amy was allowed to go out with him,
| 6 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.390946626663208,
0.30867862701416016,
-0.5526164770126343,
-0.36971038579940796,
-0.5786357522010803,
-0.4571766257286072,
0.553061306476593,
0.3980022668838501,
0.6513495445251465,
-0.03188241645693779,
-0.6192342042922974,
0.04826193302869797,
-0.19443979859352112,
0.04563865438103676... |
Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write ... | Mommy like(s) kissing >Motivates> Mommy kisses | 9 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.2763289213180542,
0.5079681873321533,
0.30990612506866455,
-0.3017617464065552,
-0.5387537479400635,
-0.802130937576294,
0.45005375146865845,
0.6761648654937744,
0.030640389770269394,
0.11915022134780884,
-0.5100547075271606,
-0.1215289756655693,
-0.2951616644859314,
-0.6040776371955872... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
- بنابراین راهبرد اینجا به این گونه است - این یک دستگاه سی تی اسکن است ، که در واقع یک دستگاه اشعه ایکس است که لایه به لایه حرکت میکنه ، با استفاده از آنالیز تصویری ریخ... | Entonces la estrategia es -esto es una tomografía, una radiografía- ir capa por capa usando análisis computarizado de imágenes morfométricas y reconstruir en 3D para obtener exactamente los riñones del paciente. | 5 | NIv2 | task1267_ted_translation_fa_es | zs_opt | [
-1.116710901260376,
0.3730120062828064,
-0.747651219367981,
0.745715320110321,
-0.034964077174663544,
0.5350955128669739,
0.10108786076307297,
0.5115325450897217,
0.8794838190078735,
-0.15909355878829956,
0.16188186407089233,
0.3561422824859619,
0.3416483998298645,
0.8150670528411865,
0.... |
Teacher: Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try... | They have just played a big concert . | 2 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
0.17244946956634521,
0.3083478510379791,
-0.08918018639087677,
0.5917496681213379,
0.1893196851015091,
-1.02923583984375,
0.25868749618530273,
0.48131823539733887,
-0.5451027154922485,
-0.6100273132324219,
-0.24888812005519867,
-0.2666568160057068,
-0.16409608721733093,
-0.2724969089031219... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Teacher: Now, understand the problem? Solve this instance: これが彼女のボートアメリカン・パール号です
Student: | این قایق اوست ، به نام مروارید آمریکایی. | 6 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
0.14394858479499817,
0.24041493237018585,
0.2160712480545044,
-0.4476691484451294,
-0.10563622415065765,
-0.4061269164085388,
0.7607966661453247,
-0.07576021552085876,
0.4225037395954132,
0.31318530440330505,
0.023019790649414062,
-0.30564945936203003,
-0.07488323003053665,
-0.379842460155... |
Teacher: In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Ulwakhiwo neempawu zentsinga zemifuno.
Solution: Con... | This should happen, whether the wound shows signs of sepsis or not. | 2 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | fs_opt | [
-0.12119507044553757,
0.19396105408668518,
0.4697645306587219,
-0.373324453830719,
-0.14517652988433838,
-0.7952088117599487,
0.3518489599227905,
0.5027417540550232,
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0.3542335331439972,
0.3486645519733429,
-0.34942910075187683,
-0.177745521068573,
-0.2506749629974365,
... |
In this task, you need to count the number of times the given letter appears in the given sentence.
Q: Sentence: 'a lady on the beach flying a kite'. Find frequency of the letter 't'
A: | 2 | 4 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.09624625742435455,
0.4468345046043396,
-1.154810905456543,
-0.30810239911079407,
0.430539608001709,
-0.5330705642700195,
-0.40697580575942993,
0.7692532539367676,
-0.5413858890533447,
0.38136476278305054,
-0.019736509770154953,
-0.48182055354118347,
-0.03539816290140152,
-0.032994195818... |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the questi... | I brought out the playing cards and tarot cards, we wanted to have a game so I took the _ and shuffled. | 3 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.7480649948120117,
0.22880160808563232,
0.05906203016638756,
-0.1523132622241974,
0.6183846592903137,
-0.8348215818405151,
0.7906332015991211,
1.1146388053894043,
-0.6580912470817566,
-0.34835636615753174,
-0.5148802399635315,
0.19301214814186096,
-0.45535755157470703,
0.0392858162522316,... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
See one example below:
Problem: A ideia é muito, muito simples.
Solution: このアイデアはとてもシンプルで
Explanation: The Portugese sentence is correctly translated into Japanese, because the meaning is prese... | なぜなら過去数日にわたって私たちがここで見てきた偉大な革新家発明家たちは世界の様々な国に住んでいて彼ら全員が少女たちが内に秘めている知性を解き放ち情熱を解き放ち少女たちの内なる偉大さを解き放つ場所を一緒に作ろうと言ってくれているからです | 4 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
-0.3269330859184265,
0.6418825387954712,
-0.14236295223236084,
-0.5894041061401367,
-0.6450655460357666,
-0.8240436911582947,
0.30816569924354553,
0.32131192088127136,
0.21054816246032715,
-0.3179103136062622,
-0.7387892603874207,
0.2136530727148056,
-1.0329164266586304,
0.5357080698013306... |
Given the task definition and input, reply with output. In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of... | X | 5 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.5642958879470825,
-0.018525615334510803,
-0.030483536422252655,
0.21865402162075043,
-0.06782198697328568,
-0.8239349126815796,
0.44992339611053467,
0.6199583411216736,
-0.3102796971797943,
-0.13855287432670593,
-0.6213219165802002,
-0.01863822713494301,
-0.5094534158706665,
0.1303322315... |
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 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 numb... | [-12786312, 1472, -104832, 6840, -36556, -741312, -714] | 0 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.5498323440551758,
-0.03525281697511673,
-0.8587872982025146,
0.06191083416342735,
0.4609648883342743,
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1.079850196838379,
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0.06384401023387909,
-0.7919424772262573,
-0.42840874195098877,
-0.4646647870540619,
-0.0851363539695739... |
Teacher:In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? Solve this instance: این است پذیرایى آنان در روز جزا.
Student: | Such will be their welcome on the Day of Judgement. | 6 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.515211820602417,
0.743828296661377,
0.31615710258483887,
-0.6720187664031982,
-0.6696863174438477,
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0.6303262710571289,
0.6212283968925476,
0.4545741081237793,
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-0.2852012515068054,
0.1620434671640396,
-0.28066980838775635,
0.05745554715394974,
... |
Q: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a comma... | I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN | 7 | NIv2 | task130_scan_structured_text_generation_command_action_long | zs_opt | [
0.10363265126943588,
0.9674051403999329,
-0.29375916719436646,
0.09842148423194885,
-0.06838691234588623,
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0.0948573499917984,
-0.04276096820831299,
-0.23627901077270508,
-0.7899726033210754,
-0.24743114411830902,
-0.8499656915664673,
-0.16189265251... |
You will be given a definition of a task first, then some input of the task.
In this task, we ask you to write an implausible answer to a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Satur... | every 0.67 years. | 1 | NIv2 | task017_mctaco_wrong_answer_generation_frequency | zs_opt | [
-0.9381176233291626,
0.42602622509002686,
-0.004347412381321192,
-0.47292590141296387,
-0.2368854582309723,
-0.6444954872131348,
0.6998122930526733,
0.13434118032455444,
-0.3488251566886902,
0.315883606672287,
-0.186227947473526,
-0.26256316900253296,
-0.5130046606063843,
0.162978202104568... |
You will be given a definition of a task first, then some input of the task.
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.
ഡോളറിന്റെ നിക്ഷേപ പിന്തുണയുണ്ടാകുമെന്നാണ് പ്രതീക്ഷിക്കുന്നത്. അതിലൂടെ അ... | या योजनेत पाच अब्ज अमेरिकन डॉलर्सची गुंतवणूक होणे अपेक्षित असून त्याचा लाभ २० लाख शेतकऱ्यांना होईल. | 1 | NIv2 | task1071_pib_translation_malayalam_marathi | zs_opt | [
-0.19610881805419922,
0.6205058097839355,
-0.24254322052001953,
0.5476607084274292,
-0.2699865698814392,
-0.34974205493927,
0.7144238948822021,
0.66242516040802,
0.10204669088125229,
-0.0015676353359594941,
-0.484371542930603,
0.432425320148468,
-0.04193509370088577,
-0.3298783302307129,
... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Problem:私が各患者に割くことができるのは13分
Solution: | Teño 13 minutos por paciente. | 8 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
0.244498610496521,
-0.13656756281852722,
-0.23320603370666504,
-0.7661020755767822,
-0.6837105751037598,
-0.8338978290557861,
0.7432200908660889,
0.14846652746200562,
-0.36932501196861267,
-0.9267795085906982,
0.15927958488464355,
1.1194605827331543,
-0.6843262910842896,
0.8200632333755493... |
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer ... | span | 0 | NIv2 | task027_drop_answer_type_generation | zs_opt | [
-0.006394959054887295,
0.6089491844177246,
-0.6180246472358704,
-0.5825033783912659,
0.13942788541316986,
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0.1259097158908844,
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0.3236687481403351,
-0.3524395823478699,
0.9896477460861206,
-0.5789071917533875,
0.052138298749923... |
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 _ .
One example is bel... | Trump sent a message of thanks to _ after his initial announcement, and told reporters at the air base that Priebus was a "good man." | 9 | NIv2 | task301_record_question_generation | fs_opt | [
-0.1938706487417221,
0.698096513748169,
-0.45333167910575867,
0.16727501153945923,
0.10910498350858688,
0.04547373950481415,
0.30642491579055786,
0.7420793771743774,
-0.011446112766861916,
0.649239718914032,
0.17956587672233582,
0.19692668318748474,
-0.7465031147003174,
0.2700306177139282,... |
Instructions: 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"... | no | 3 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
0.465585857629776,
-0.10096980631351471,
0.16234448552131653,
-0.40663856267929077,
0.06714992970228195,
-0.8776616454124451,
0.7555440664291382,
0.9664542078971863,
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-0.24898868799209595,
-0.09549498558044434,
0.3661888539791107,
-0.5386189818382263,
0.215855091810226... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
English sentence: and he said unto him, All these things will I give thee, if thou wilt fall down and worship me.
Wuxuuna ku yidhi, Waxyaalahan oo dhan waan ku siinayaa haddaad sujuuddid ... | 9 Rabbigu waa yaqaan sida kuwa cibaadada leh jirrabaadda looga samatabbixiyo iyo sida kuwa aan xaqa ahayn loo hayo iyagoo ciqaaban ilaa maalinta xisaabta,
| 0 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
-0.44659948348999023,
0.8164317011833191,
0.1698513925075531,
-0.1926901936531067,
-0.45928409695625305,
-1.0761114358901978,
0.5068588256835938,
0.09920072555541992,
0.2958650588989258,
-0.09155627340078354,
-0.18538272380828857,
1.110535740852356,
-1.2944278717041016,
0.08012190461158752... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Q: Por outras palavras, bons hindus e bons judeus não agem assim.
A: | つまり善良なヒンドゥー人とユダヤ人はこんなことはしません | 4 | NIv2 | task1275_ted_translation_pt_ja | zs_opt | [
-0.33422034978866577,
0.4815894663333893,
-0.15583956241607666,
0.05832846462726593,
-0.9157800674438477,
-0.45862454175949097,
0.042674094438552856,
0.10336674749851227,
0.44421517848968506,
-0.6988672018051147,
-0.09437549114227295,
0.2579897344112396,
-0.8222419023513794,
0.010721653699... |
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
[Q]: Event:PersonX invites PersonY's friends and family. ... | thankful
| 5 | NIv2 | task924_event2mind_word_generation | fs_opt | [
-0.06509080529212952,
0.2856612503528595,
0.10560915619134903,
-0.30747848749160767,
-0.5464521646499634,
-0.37469178438186646,
1.2490921020507812,
0.2775431275367737,
0.36454081535339355,
-0.45573726296424866,
0.26697251200675964,
0.3515292704105377,
-0.42605262994766235,
0.22864234447479... |
Part 1. Definition
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
Part 2. Example
PersonX does PersonX's... | satisfied | 7 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
0.3442456126213074,
0.37569472193717957,
-0.1803143322467804,
-0.4263557195663452,
-0.28954190015792847,
-0.35429081320762634,
1.4198161363601685,
0.27181190252304077,
0.5489506125450134,
-0.6859901547431946,
-0.15720519423484802,
-0.03307799994945526,
-0.6827199459075928,
0.36355227231979... |
Teacher: Translation from English to Telugu.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Many strange legends are told of these jungles of India, but none so strange as the story of a small boy named Mowgli.
Solution: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అరణ్య యొక్క చెప్పబడ... | -ఈ ,లెఫ్టినెంట్ఒక మర్యాదపిలుపు. | 2 | NIv2 | task1330_open_subtitles_en_te_translation | fs_opt | [
-0.5426057577133179,
0.6846706867218018,
0.12375613301992416,
-0.11220189929008484,
-0.2598305344581604,
-1.4738463163375854,
-0.0843205451965332,
-0.10985235869884491,
-0.2334495186805725,
-0.4779694676399231,
-0.578564465045929,
0.016851987689733505,
-0.7994439601898193,
-0.1149318218231... |
In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False"
Review: This has been a great tent.. we have had it up 24/7 for 17 months in a shady area at our annual camp site at the lake a... | False | 0 | NIv2 | task1313_amazonreview_polarity_classification | zs_opt | [
-0.24390389025211334,
-0.31858527660369873,
-0.17179688811302185,
-0.2006405144929886,
-0.4677119851112366,
-1.354439377784729,
0.4426236152648926,
-0.021861128509044647,
0.30955052375793457,
0.02080896683037281,
-0.07519932091236115,
0.18290813267230988,
-0.9858941435813904,
-0.1534742712... |
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Q: Context: The spin-off movie focuses on Matt Stifler (Tad Hilgenbrinck), the younger brother of Steve Stifler from the previous America... | matt stifler | 4 | NIv2 | task469_mrqa_answer_generation | zs_opt | [
0.6233545541763306,
0.4421308636665344,
-0.9642032980918884,
0.09783567488193512,
0.3268287181854248,
-0.2565820813179016,
0.5022917985916138,
0.7031587958335876,
-0.4276120960712433,
0.3839154839515686,
0.08315650373697281,
0.20511215925216675,
-0.6823229789733887,
-0.19846469163894653,
... |
In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. You are expected to cla... | Stereotype | 8 | NIv2 | task316_crows-pairs_classification_stereotype | fs_opt | [
-0.01893933303654194,
0.27586835622787476,
0.17102408409118652,
0.1282564401626587,
-0.01806895062327385,
-0.27370506525039673,
0.6693341135978699,
1.16756010055542,
0.4196293354034424,
-0.337329238653183,
-0.8499473929405212,
-0.0455448180437088,
-0.895520806312561,
-0.043933309614658356,... |
Detailed Instructions: In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
Problem:M: Mom, I don't want to eat vegetables. Can I have dessert now? I love choc... | (A) An apple. | 8 | NIv2 | task247_dream_answer_generation | zs_opt | [
0.5443153381347656,
0.13193996250629425,
0.5222944617271423,
-0.7370839715003967,
-0.2618827223777771,
-0.2472660094499588,
0.185821071267128,
0.5051044225692749,
0.26065731048583984,
-0.6127107739448547,
0.03568617254495621,
-0.2318195104598999,
-0.03968852013349533,
-0.5421677827835083,
... |
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 'No'.
Q: Query:... | Yes
****
| 4 | NIv2 | task227_clariq_classification | fs_opt | [
-0.07360117137432098,
-0.265890508890152,
0.30933162569999695,
0.020683597773313522,
-0.12389734387397766,
-0.3736523389816284,
0.984204888343811,
0.08543328940868378,
0.722454845905304,
0.34080439805984497,
0.42450565099716187,
0.16941460967063904,
-0.8137680292129517,
0.3431568145751953,... |
TASK DEFINITION: In this task, you are given a sentence in the Gujarati language and your task is to convert Gujarati sentence into the English language.
PROBLEM: એક રેલરોડ ટ્રેનની વિંડોઝ, એક વાદળછાયું પૃષ્ઠભૂમિની સામે ફોટોગ્રાફ કરે છે.
SOLUTION: The windows of a railroad train photographed against a cloudy background... | A white small bathroom showing the toilet bowl and sink with beige tiles.
| 8 | NIv2 | task439_eng_guj_parallel_corpus_gu_en_translation | fs_opt | [
-0.5768802762031555,
0.11134986579418182,
0.1534201204776764,
-0.6900808215141296,
0.1093590036034584,
-0.1079092025756836,
0.2883622348308563,
0.5362503528594971,
-0.19909271597862244,
-0.17970162630081177,
-0.4480302929878235,
-0.6112262606620789,
-0.09624436497688293,
0.4629571437835693... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct ... | recognizing majority rule and collecting cases
| 3 | NIv2 | task287_casehold_legal_incorrect_answer_generation | fs_opt | [
0.5303263068199158,
0.5797226428985596,
-0.357267290353775,
0.20843544602394104,
0.7372636795043945,
-0.7464838624000549,
0.8259565830230713,
1.3297829627990723,
-0.33918869495391846,
-0.13352708518505096,
-0.6220248937606812,
0.7686846256256104,
-0.6664698123931885,
-0.01683933660387993,
... |
Definition: In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Input: The dog waits until the woman grab a towel to dry the body of the dog. The dog l... | D | 2 | NIv2 | task1389_hellaswag_completion | zs_opt | [
-0.09760324656963348,
1.0165367126464844,
-0.6756466627120972,
-0.39836472272872925,
-0.5969028472900391,
-0.23634585738182068,
-0.022985095158219337,
0.3194272518157959,
0.3470637798309326,
-0.24075575172901154,
0.0895521491765976,
0.22144843637943268,
0.8014529347419739,
-0.5737214684486... |
Detailed Instructions: In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shakin... | stop for a relaxing drink at one of the airport restaurants. | 8 | NIv2 | task080_piqa_answer_generation | zs_opt | [
-0.03458716347813606,
0.3704482913017273,
-0.7169315814971924,
0.07899728417396545,
-0.65211021900177,
-0.07439698278903961,
-1.0626747608184814,
0.3617013096809387,
-0.09397473931312561,
0.2217528522014618,
-0.8904522061347961,
0.07092651724815369,
-0.26616790890693665,
0.0109912138432264... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Pero aínda así, hoxe no 2011, hai unha droga que se lle pode dar ós ratos de idade avanzada que alongará as súas vidas, o que resulta desta ciencia probada nestes animais.
A: | Pero aún así, hoy en el 2011, hay una droga que se le puede dar a los ratones en una edad avanzada que prolongará sus vidas, lo que resulta de esta ciencia probada en todos estos animales. | 7 | NIv2 | task1240_ted_translation_gl_es | zs_opt | [
-0.5624932050704956,
1.4244024753570557,
0.0701400563120842,
-0.6160855293273926,
-0.3101162910461426,
-1.366647481918335,
0.31600379943847656,
1.0882837772369385,
-0.1027660146355629,
-0.5039634704589844,
-0.5400955677032471,
0.3585030436515808,
-1.2846758365631104,
0.48896151781082153,
... |
A text is given in Malayalam. Translate it from the Malayalam language to the Tamil language. The translation must not omit or add information to the original sentence.
Example: നരേന്ദ്ര മോദി നാളെ (ഡിസംബര് 27, 2018) ഹിമാചല് പ്രദേശ് സന്ദര്ശിക്കും
Example solution: நரேந்திர மோடி (டிசம்பர் 27 மற்றும் 2018) நாளை பிரதேசத... | Solution: காமன்வெல்த் விளையாட்டுப் போட்டிகளில் பளுதூக்கும் போட்டியில் வெண்கலப் பதக்கம் வென்ற தீபக் லாத்தருக்கு பிரதமர் திரு. | 5 | NIv2 | task999_pib_translation_malayalam_tamil | fs_opt | [
-0.4000471234321594,
-0.23521269857883453,
-0.0668363869190216,
0.026914210990071297,
-0.08443690836429596,
-0.9031492471694946,
-0.43880993127822876,
-0.15300488471984863,
-0.8988415002822876,
-0.15699303150177002,
-0.6588311195373535,
0.03367770463228226,
0.01749633625149727,
0.412884056... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Q: אז אני רק צריך לחבר אותך.
A: | Só teño que conectarte. | 4 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-0.5752469301223755,
0.981795072555542,
0.4637289047241211,
-0.3758246898651123,
-0.6182506084442139,
-0.1505354344844818,
1.19169282913208,
-0.6482853889465332,
-0.23886656761169434,
-0.1085699200630188,
-0.1695702224969864,
0.24295347929000854,
-0.6761070489883423,
0.49136051535606384,
... |
In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
[EX Q]: Passag... | 6 | NIv2 | task390_torque_text_span_selection | fs_opt | [
0.7840325832366943,
0.22112232446670532,
-0.3176196813583374,
-0.3544871211051941,
-0.2380582094192505,
0.41723334789276123,
0.4141309857368469,
1.0496211051940918,
0.3255116939544678,
0.46871936321258545,
-0.32312506437301636,
0.9317702651023865,
-1.0078167915344238,
0.2077750861644745,
... | |
Teacher:Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Teacher: Now, understand the problem? Solve this instance: Is AUTHOR wrong in the post ? PO... | no | 6 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
0.34684139490127563,
-0.3967430591583252,
-0.14676256477832794,
0.5569083094596863,
0.01458214782178402,
-0.6205259561538696,
0.6746464967727661,
1.2044612169265747,
0.23940598964691162,
0.0222504623234272,
0.11528919637203217,
-0.19708260893821716,
-0.6451309323310852,
-0.1184438467025756... |
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the... | agent: How can I assist you? | 4 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.3177935481071472,
0.3217526078224182,
0.12286023795604706,
-1.4172155857086182,
0.43042635917663574,
0.013691773638129234,
1.4527051448822021,
-0.24835596978664398,
0.011419236660003662,
-0.32580363750457764,
0.31617268919944763,
-0.3147955536842346,
-0.6841822862625122,
0.3690423965454... |
This task is about translating a given English language sentence to Spanish.
Example Input: Bring Ilknur to me
Example Output: Nunca confié en nadie de la manera que confío en tí, Mahir
Example Input: One study found that a man may form a combatant in Liberia, one third of them reported having the experience some for... | Bien, el viento es inanimado; el depredador peligroso es un agente intencionado.
| 3 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-0.3845555782318115,
0.6310454607009888,
-0.4235023856163025,
-0.8787303566932678,
-0.627063512802124,
-0.31955188512802124,
0.43972548842430115,
0.9386923313140869,
0.11913536489009857,
-0.22814500331878662,
-0.4699442386627197,
0.35305023193359375,
-0.9830596446990967,
-0.313422739505767... |
In this task, you are given a question. You have to answer the question based on your information.
Q: What is the release year of this film directed by Marc Webb and written by Tony Flynn, which starred Mckenna Grace as Mary?
A: | 2017 | 4 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
-0.5549628138542175,
1.3562586307525635,
-0.5221073627471924,
0.31047046184539795,
-0.3018883466720581,
0.5131590366363525,
-0.0017763973446562886,
1.1369836330413818,
0.1689314842224121,
-0.10580217838287354,
0.12681785225868225,
0.265923410654068,
-0.09453145414590836,
-0.512045025825500... |
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.
Q: A black horse rode a boy on a saddle
A boy rode a... | first | 4 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
0.2652446925640106,
0.48692208528518677,
0.08668471872806549,
-0.4170950651168823,
-0.5846328139305115,
0.04050315171480179,
0.3652160167694092,
0.9647976160049438,
0.6016710996627808,
-0.33114945888519287,
-0.888914942741394,
-0.12618786096572876,
-0.37373873591423035,
-0.3234953880310058... |
Detailed Instructions: Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Problem:ผู้ออกแบบหวังให้ Quaero เป็นเครื่องค้นหามัลติมีเดียที่ก้าวหน้าที่สุดของโลกที่สามารถหาและแปลวิดีโอและสื่อประเภทเสียงผ่าน... | デザイナーらは、Quaeroが動画や音声をインターネット上で発見して翻訳できる世界最先端のマルチメディア検索エンジンになることを期待している。 | 8 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.22200815379619598,
-0.28041690587997437,
0.23458153009414673,
0.1304820328950882,
-0.02354046143591404,
0.36644649505615234,
0.5254440307617188,
0.3098972737789154,
-0.6556665301322937,
0.08138968050479889,
-0.08274181187152863,
-0.21949677169322968,
-0.6378298997879028,
0.1125114113092... |
Definition: In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Input: Before the aircraft is hoisted clear of the water additional wires should be passed around it to act either as preventers or as bowsin... | Phambi kokuba inqwelo-moya iphakanyiswa ngokucacileyo emanzini amacingo ongezelelweyo makadluliselwe ngokuyijikelezileyo ukuze zisebenze mhlawumbi njenge- zikhuseli okanye njengeentambo zokuseza iinqwelo-moya ipetroli. | 2 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | zs_opt | [
0.5039805173873901,
0.2886773645877838,
-0.5508581399917603,
-0.33836829662323,
0.14595343172550201,
-0.3861084580421448,
0.9821038246154785,
0.4561477303504944,
-0.16524004936218262,
0.22119244933128357,
-0.6467922925949097,
-0.4284583330154419,
-0.20314356684684753,
-0.013605545274913311... |
Given the task definition and input, reply with output. 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 t... | CONJ | 5 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.18378674983978271,
0.17726916074752808,
-0.1459352970123291,
0.42458081245422363,
-0.01703055389225483,
-0.7505507469177246,
0.6678133606910706,
0.5037158727645874,
-0.29396307468414307,
0.12495961785316467,
-0.7013163566589355,
0.2177504450082779,
-0.439571738243103,
0.17561057209968567... |
Q: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to det... | Yes | 7 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.5238190293312073,
0.31431958079338074,
0.2966863811016083,
-0.2074640691280365,
-0.7984968423843384,
-1.109900712966919,
1.3256653547286987,
0.3879532814025879,
-0.5312577486038208,
-0.3882126212120056,
-0.3852214217185974,
-0.2590969204902649,
-0.7805309891700745,
0.2724948525428772,
... |
Detailed Instructions: Given a statement, generate a question such that the answer is contained in that statement.
Q: Premenopausal women have breasts
A: | What do premenopausal women have? | 9 | NIv2 | task1580_eqasc-perturbed_question_generation | zs_opt | [
-0.10453255474567413,
0.23404818773269653,
-0.7760329246520996,
0.30850642919540405,
0.0715869888663292,
-0.8201015591621399,
-0.06682509183883667,
1.360030174255371,
1.165757656097412,
0.29072093963623047,
-0.9370895624160767,
-0.07908469438552856,
-0.7650330662727356,
0.29293951392173767... |
Part 1. Definition
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.
Part 2. Example
Lucifer how many episodes are in season 3?
Answer: How man... | When was the first patent given on a home pregnancy test? | 7 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.21844546496868134,
0.2106453776359558,
-0.0845104455947876,
-0.5394896268844604,
0.12420621514320374,
0.3474746346473694,
0.46536576747894287,
-0.29953253269195557,
-0.13278703391551971,
-0.3571198582649231,
-0.762151837348938,
0.6626022458076477,
-1.3361096382141113,
-0.058514814823865... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if... | no | 1 | NIv2 | task242_tweetqa_classification | zs_opt | [
0.090655617415905,
-0.4529520869255066,
0.006116769276559353,
0.4030311107635498,
-0.13484682142734528,
0.3876611590385437,
1.069691777229309,
0.420505166053772,
-0.301554799079895,
0.47512751817703247,
-0.6635144948959351,
-0.5880007743835449,
0.061871230602264404,
-0.19194060564041138,
... |
Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | 你很可能在一本书里 形成猴子。
| 5 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
-0.3140279948711395,
0.5356549620628357,
-0.174330472946167,
-0.8376436233520508,
-0.10849200189113617,
-0.4149404764175415,
-0.12159159779548645,
0.6580924391746521,
0.02151261642575264,
0.09816019237041473,
-0.7684286832809448,
-0.09813929349184036,
0.3064606785774231,
0.2125763148069381... |
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