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 |
|---|---|---|---|---|---|---|
Given the task definition and input, reply with output. 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.
Text: unlike other posts, this actually happened... | i drank pool water at work and almost threw up. | 5 | NIv2 | task511_reddit_tifu_long_text_summarization | zs_opt | [
-0.2887778878211975,
0.761262059211731,
0.13260215520858765,
-0.21572259068489075,
-0.2519683837890625,
-0.744705319404602,
0.20530882477760315,
1.1802928447723389,
-0.21173366904258728,
-0.038470715284347534,
-0.19687944650650024,
-0.6840240359306335,
-1.016049861907959,
-0.15509206056594... |
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 comma-separated values, lik... | [0.5, -47.5, -53.5] | 4 | NIv2 | task124_conala_pair_averages | zs_opt | [
-0.8216909170150757,
0.24960805475711823,
-0.5377600193023682,
-0.5467140078544617,
-0.08959336578845978,
0.26088428497314453,
0.7225483655929565,
0.4117153286933899,
-0.02543843537569046,
-0.27652639150619507,
-0.44329431653022766,
-0.00012259278446435928,
0.06472009420394897,
0.303876936... |
Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
[EX Q]: @anonymized_account Ja podam swojego na dm oki?
[EX A]: 0
[EX Q]: @anonymized_account A kto kutasie sprzedał Stocznię Ukraińcom?
[EX A]: 1
[EX Q]: @anonymized_account Nie, ch... | 0
| 6 | NIv2 | task838_cdt_classification | fs_opt | [
-1.498491644859314,
0.7946949601173401,
-0.03654303401708603,
0.5156639814376831,
-0.7151236534118652,
0.2761779725551605,
0.9206541776657104,
-0.02718399092555046,
0.746947705745697,
0.3017194867134094,
-0.6281089782714844,
-0.028532113879919052,
0.007754460908472538,
-0.4361034035682678,... |
A text is given in Malayalam. Translate it from the Malayalam language to the Telugu language. The translation must not omit or add information to the original sentence.
Example Input: ఐఎన్ఎస్ వి తారిణి నావిక సిబ్బంది తో ప్రధాన మంత్రి భేటీ
Example Output: തരിണിയിലെ വനിതാ നാവികര് പ്രധാനമന്ത്രിയെ സന്ദര്ശിച്ചു
Exampl... | 'നമ്മുടെ ആദ്യ പ്രധാനമന്ത്രി പണ്ഡിറ്റ് ജവഹര്ലാല് നെഹ്റുവിനെ അദ്ദേഹത്തിന്റെ ജന്മവാര്ഷിക ദിനത്തില് ഓര്മ്മിക്കുന്നു.
| 3 | NIv2 | task1050_pib_translation_telugu_malayalam | fs_opt | [
-0.059199199080467224,
0.34542325139045715,
-0.3141036629676819,
-0.27032649517059326,
0.552901029586792,
-0.3564820885658264,
0.01856519654393196,
0.4340430498123169,
-0.33015120029449463,
0.5609276294708252,
-0.07231421768665314,
-0.19436509907245636,
-0.5667891502380371,
0.3894724845886... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
--------
Question: Passage: In November 1988, a... | Answer: $10.50 million
| 7 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
-0.18783308565616608,
0.22436130046844482,
-0.7568818926811218,
0.569066047668457,
0.440216988325119,
0.25967490673065186,
0.625822901725769,
0.48677921295166016,
0.49875608086586,
0.8203832507133484,
0.15894553065299988,
-0.06131761521100998,
-0.5620008707046509,
-0.28224191069602966,
-... |
Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
Input: Consider Input: Boozer Schmidt: I suppose this would all have been much easier if the district had just brought you in to let them know who was deserving of their right to an education. You seem to have... | Output: No
| 2 | NIv2 | task1721_civil_comments_obscenity_classification | fs_opt | [
-0.011255433782935143,
0.4459913372993469,
0.5955920815467834,
0.18200773000717163,
-0.24590811133384705,
-0.3925062417984009,
0.49077171087265015,
0.4820254147052765,
0.8335152864456177,
0.4641464948654175,
-0.041181422770023346,
0.4303121566772461,
-0.22900211811065674,
-0.71544265747070... |
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.
Sentence: xname is quite the best restaurant because it is a Spanish place with plea... | cuisine[Spanish], decor[acceptable], location[Midtown East] | 0 | NIv2 | task1597_nyc_slot_filling | zs_opt | [
-0.6185961961746216,
0.6702873706817627,
-0.3930378556251526,
-0.25546103715896606,
-0.7818137407302856,
0.5496152639389038,
0.4406704008579254,
0.4246309995651245,
0.5984859466552734,
-0.2913900315761566,
0.46596723794937134,
-0.1675899773836136,
-0.7255166172981262,
0.16099444031715393,
... |
Detailed Instructions: You are given a sentence from a conversation between a human and a virtual assistant. Your task is to classify the sentence into one of the following five action categories - INFORM, INFORM_INTENT, OFFER, REQUEST, REQUEST_ALTS. If the sentence is about informing something, generate 'INFORM'. If i... | REQUEST | 8 | NIv2 | task880_schema_guided_dstc8_classification | zs_opt | [
0.19962917268276215,
0.42483288049697876,
0.2907608151435852,
0.4296923875808716,
0.2642941474914551,
-0.007047784980386496,
-0.24566662311553955,
0.8845154643058777,
0.614782989025116,
0.17034773528575897,
-0.7312859296798706,
-0.4537995457649231,
-0.29571908712387085,
0.03571984171867370... |
Detailed Instructions: In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French... | name[The Eagle], food[Italian], customer rating[high] | 4 | NIv2 | task958_e2e_nlg_text_generation_parse | fs_opt | [
-0.3912830352783203,
-0.07321394234895706,
-0.05738963186740875,
0.3454884886741638,
0.07319856435060501,
-0.24801115691661835,
0.5653220415115356,
1.1390717029571533,
-0.16077487170696259,
-0.01484905369579792,
0.6982730031013489,
-0.5045247077941895,
-0.4665560722351074,
-0.1478178203105... |
Teacher:In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
Teacher: Now, understand the problem? Solve this instance: Question: What members of an ecosystem food chain take in ... | Consumers are members of an ecosystem food chain that take in food by eating producers or other living things. | 6 | NIv2 | task1556_scitail_passage_generation | zs_opt | [
-0.0920460969209671,
0.4184005856513977,
-0.12661230564117432,
-0.19741646945476532,
-0.39725279808044434,
-0.9130524396896362,
-0.13124531507492065,
0.458709180355072,
-0.5169609785079956,
-0.2943271994590759,
-0.12845538556575775,
-0.0608062669634819,
-1.1959643363952637,
0.0614359676837... |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Q: Somali sentence: 18 Waayo, nin alla ninkuu yahayba, kii iin lahu waa inuusan u soo dhowaan, kaasoo ah ninkii indha la' ama curyaan ah, ama kii sankiisu faruuran yahay, ama jidhkiisu le... | 29 Cut off thy hair, and cast it away: and take up a lamentation on high: for the Lord hath rejected and forsaken the generation of his wrath,
****
| 4 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
0.39502155780792236,
0.48876333236694336,
0.41113606095314026,
-0.8011894226074219,
0.06101910024881363,
-1.529845952987671,
-0.6589210033416748,
0.960379421710968,
0.07294373214244843,
0.08927235752344131,
-0.5638065338134766,
0.8672167062759399,
-1.1404110193252563,
-0.4484427571296692,
... |
Q: 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.
['2061', 'A', '985', '9885', '215', 'o', '303', 'W', '1701', 'O', 'v', '2133', 'g', 'U']
A: | 2061, 985, 9885, 215, 303, 1701, 2133 | 7 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
-0.6975317001342773,
0.4283737540245056,
-0.6222595572471619,
-0.6891024112701416,
-0.13779480755329132,
-0.43748921155929565,
0.4432946443557739,
-0.43212804198265076,
-0.24847522377967834,
0.4914225935935974,
-0.655338704586029,
-0.032628368586301804,
0.38119134306907654,
-0.123509362339... |
Part 1. Definition
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.
Part 2. Example
Hi. I want information about Namibia.
Nmbia is a country in southern Africa.
Do you have informat... | Sure! It is a small country in southern Africa. Would you like to hear about their economy? | 7 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.9245713949203491,
-0.4398501515388489,
-0.16243627667427063,
-0.033338673412799835,
0.41594797372817993,
-0.5142330527305603,
1.0013704299926758,
0.34302255511283875,
-0.7076455950737,
0.1417739987373352,
-0.7845472097396851,
-0.29859477281570435,
-0.3574809432029724,
0.03657225146889686... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
آیا برخی از نشانه ها می توانند نشانه های جنگ افزاری یا خانه سازی باشند ؟
A: | Questi segni rappresentano armi o abitazioni? | 7 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-0.9792523384094238,
1.2972599267959595,
-0.34171411395072937,
0.5787234306335449,
-0.3672185242176056,
-0.24985937774181366,
0.4929400384426117,
1.0644707679748535,
0.4428800940513611,
-0.16689914464950562,
-0.887948751449585,
0.8752171993255615,
0.13149839639663696,
0.03014450892806053,
... |
Detailed Instructions: This task is about translating a given Spanish language sentence to English.
Q: Así es igual a menos x 4 veces 1, 3, 2.
A: | So that is equal to minus x4 times 1, 3, 2. | 9 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.429924875497818,
1.2799999713897705,
-0.0545840822160244,
0.3755326569080353,
-0.20635153353214264,
-0.5084865093231201,
0.2427189201116562,
1.488350749015808,
-0.8227249383926392,
-0.2537853717803955,
-0.23233167827129364,
-0.22151166200637817,
-0.2697988450527191,
-0.5479047894477844,... |
Q: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded ... | Non-obscene | 7 | NIv2 | task326_jigsaw_classification_obscene | zs_opt | [
-0.7656451463699341,
0.23143428564071655,
0.5629122257232666,
0.082365021109581,
0.33885496854782104,
-0.1352251172065735,
0.4298456311225891,
0.09502814710140228,
0.02025715820491314,
0.6060349345207214,
-0.17622120678424835,
0.012467283755540848,
0.24320411682128906,
-1.016984462738037,
... |
Teacher: This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "... | 42. | 2 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.5348970293998718,
0.44822490215301514,
-0.22931556403636932,
-0.35278454422950745,
0.3030831217765808,
-1.056842565536499,
0.9640891551971436,
0.677539587020874,
0.3196083903312683,
0.035336822271347046,
-0.4588806629180908,
0.5852460265159607,
-0.7239068746566772,
-0.1563086062669754,
... |
Q: A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
ରାଷ୍ଟ୍ରପତି କହିଲେ ଯେ ଦେଶର ଆଇନସେବାରେ କାର୍ଯ୍ୟରତ ଆଇନଜୀବୀମାନଙ୍କୁ ବିଭିନ୍ନ ବିଶ୍ୱବିଦ୍ୟାଳୟରେ କାର୍ଯ୍ୟରତ ଅଧ୍ୟାପକମାନେ ସୁଦୃଢ଼ କରିବାରେ ଯଥେଷ୍ଟ ମାତ୍ରାରେ ସହାୟକ ହୋଇ ଆସିଛନ... | And those who were under the impression that because of the cooperation and grace of those Naamdars (individuals with powerful names) that they will always be able to keep the lakhs and crores of rupees with them, those who thought that it will always be incoming, now the money has also started to go out from those peo... | 7 | NIv2 | task988_pib_translation_oriya_english | zs_opt | [
-0.44996312260627747,
1.0750610828399658,
0.07234018296003342,
-0.08422856032848358,
0.3976500332355499,
-0.26993584632873535,
0.5050403475761414,
0.571071982383728,
-0.29573988914489746,
0.15872672200202942,
0.2747308611869812,
-0.16898879408836365,
-0.39879804849624634,
-0.17187276482582... |
This task is to translate a news commentary given in English language into French language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
One example is below.
Q: Since their articles appeared, the p... | Quelle surface de la planète serons-nous en mesure de préserver en agissant sur l'élévation du niveau des mers? | 9 | NIv2 | task1371_newscomm_translation | fs_opt | [
-0.3550538718700409,
0.8859820365905762,
0.04843943938612938,
-0.06750454753637314,
0.25513261556625366,
-0.6538234949111938,
-0.1091800183057785,
0.8364815711975098,
-0.035164374858140945,
0.06838430464267731,
-0.5251545906066895,
-0.06873410940170288,
-0.4845094084739685,
-0.241726934909... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Q: E o tamanho da palavra-passe é proporcional à frequência com que aparecem no conjunto de dados roubados.
A: | و تعداد این کلمات عبور با این که چه مقدار در سایت استفاده می شدند رابطه ی مستقیم داشت. | 4 | NIv2 | task1282_ted_translation_pt_fa | zs_opt | [
-0.23067054152488708,
0.9061793088912964,
-0.7316130995750427,
-0.4477914869785309,
-0.9048839807510376,
-0.15826719999313354,
0.10334459692239761,
0.7840495705604553,
0.16030040383338928,
0.05084386467933655,
-0.759334921836853,
0.04289568215608597,
-0.3162897825241089,
0.4331641495227813... |
In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
Example Input: پاورلیفتینگ یا وزنهبرداری قدرتی یک ورزش قدرتی است که شباهتهایی با ورزش وزنهبرداری دارد. هر دو شامل بلند کردن وزنه در سه تلاش هستند. پاورلیفتینگ ا... | طلاق اجتماعی، تغییرات در دوستیها و سایر روابط اجتماعی
| 3 | NIv2 | task395_persianqa_answer_generation | fs_opt | [
0.7591935992240906,
0.8793824911117554,
-0.6351944804191589,
-0.49826106429100037,
0.5182783603668213,
0.17624542117118835,
0.8750135898590088,
1.08820641040802,
-0.04387316480278969,
-0.09408264607191086,
-0.8599448204040527,
0.7674416303634644,
-0.9818981885910034,
0.5050320625305176,
... |
Detailed Instructions: 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 concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i wil... | h4097fK26519895o48173051IqrLshc70853843 | 4 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
0.36362868547439575,
0.2216590791940689,
-0.7780910134315491,
-0.40669727325439453,
-0.3575805425643921,
-0.7836840152740479,
0.4150070548057556,
0.2611815333366394,
-0.6253786683082581,
0.16006255149841309,
-1.0360386371612549,
-0.00938313640654087,
-0.2115718126296997,
0.1801975816488266... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
One example is below.
Q: What does ... | chitin and other polysaccharides | 9 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.26099199056625366,
0.5873964428901672,
-0.6813240051269531,
-0.2597115635871887,
-0.5572654008865356,
-0.7019147872924805,
0.8362526893615723,
0.3945636749267578,
-0.19406750798225403,
0.2550351321697235,
-0.6779301166534424,
0.25856268405914307,
-0.4078470468521118,
0.02215268090367317... |
A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
Ex Input:
ਢਾਂਚੇ ਵਿੱਚ ਕੀਤਾ ਜਾ ਰਿਹਾ ਨਿਵੇਸ਼ ਇਸ ਪੂਰੇ ਖੇਤਰ ਦੀ ਤਸਵੀਰ ਬਦਲਣ ਦਾ ਕੰਮ ਕਰ ਰਿਹਾ ਹੈ।
Ex Output:
உள்கட்டமைப்பு துறையில் மேற்கொள்ளப்படும் முதலீடுகள், இந்... | கூட்டுத் தயாரிப்புகள், நமது மென் சக்தியை உருவாக்கிடவும், வெளிப்படுத்திடவும் வாய்ப்பளிக்கும்.
| 1 | NIv2 | task1015_pib_translation_punjabi_tamil | fs_opt | [
-0.6364798545837402,
0.5386375188827515,
0.13989268243312836,
0.17930588126182556,
-0.10734345018863678,
-0.623794436454773,
0.47937923669815063,
0.6639625430107117,
0.14955319464206696,
0.4240720868110657,
-0.613067626953125,
-0.14402735233306885,
-0.23289480805397034,
0.11691612005233765... |
A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
Input: Consider Input: விவசாயியைப் பார்த்து மற்றொரு விவசாயியும் தனது நிலத்தில் ஒன்று அல்லது இரண்டு பைகள் யூரியாவை அதிகமாக பயன்படுத்துகிறார்.
Output: অমুক... | Output: আফ্রিকা ও আফ্রিকাবাসীর সঙ্গে জীবন-মরণে ওতপ্রতোভাবে যুক্ত ছিলেন তিনি।
| 2 | NIv2 | task982_pib_translation_tamil_bengali | fs_opt | [
-0.45985841751098633,
1.0528531074523926,
-0.6550760269165039,
0.27476024627685547,
-0.022564737126231194,
-0.7543470859527588,
-0.3234793543815613,
0.9925150871276855,
0.29025495052337646,
0.32947397232055664,
-1.1672918796539307,
0.3158790171146393,
-0.1088348925113678,
-0.53719711303710... |
Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
Input: Consider Input: Chemistry has ____ less important names.\Question: Choose the right answer from options given a) ten b) no c) eight d) nine... | Output: a
| 2 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
-0.6214264035224915,
1.0453057289123535,
-0.698732852935791,
-1.2568202018737793,
-0.4607526957988739,
-0.3981795310974121,
0.6468772888183594,
0.2282688021659851,
-0.6427066326141357,
0.09207648783922195,
-0.7834946513175964,
-0.06176628917455673,
-0.5176068544387817,
0.07338851690292358,... |
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 sentiment.
Example Input: ... | NEGATIVE
| 3 | NIv2 | task1414_ajgt_twitter_ar_classification | fs_opt | [
-1.0682125091552734,
-0.047975488007068634,
0.5606415271759033,
-0.4444487392902374,
-0.27645406126976013,
-0.36125868558883667,
0.8651098012924194,
0.12716743350028992,
0.2266249656677246,
-0.09714367985725403,
-0.6232750415802002,
-0.1485699564218521,
-0.3332785665988922,
-0.053046658635... |
Q: In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the cho... | 3 | 7 | NIv2 | task200_mnli_entailment_classification | zs_opt | [
0.2956150770187378,
0.3603774905204773,
0.04841388016939163,
-0.152055561542511,
0.30733346939086914,
-0.9127821922302246,
0.21899253129959106,
1.1112868785858154,
-0.3902774453163147,
0.2851372957229614,
-0.350707471370697,
0.27470964193344116,
-0.5817791223526001,
-0.5486169457435608,
... |
Detailed Instructions: In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute dista... | 139 | 4 | NIv2 | task1446_farthest_integers | fs_opt | [
-0.13524861633777618,
-0.06903961300849915,
0.2082533836364746,
-0.021513748914003372,
-0.05200550705194473,
-0.5737960934638977,
0.8100357055664062,
0.323992520570755,
0.47882795333862305,
-0.1920880824327469,
-0.13738271594047546,
-0.1294790357351303,
-0.45453834533691406,
-0.12489034980... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Example Input: برنامهریزی کافی و جنبشهای آگاهسازی ممکن است بیشتر از تجهیز کردن حمایت برای کمپین ضد فلج اطفال مفید باشد.
Example Output: Adequate planning and realistic awareness movements could prove more helpful in m... | They turn into onlookers and do not fulfill their "positive duty". This is very clear.
| 3 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-0.880841851234436,
0.46205753087997437,
0.03165704011917114,
-0.031268347054719925,
-0.40747883915901184,
-0.044955745339393616,
0.7417313456535339,
0.6160983443260193,
-0.01770755834877491,
0.18194791674613953,
-0.8371591567993164,
1.0192261934280396,
-0.5237152576446533,
0.0428795404732... |
In this task, you are given two sets, and you need to count the number of elements at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that are common to both ... | 0
| 0 | NIv2 | task243_count_elements_in_set_intersection | fs_opt | [
0.7106664180755615,
0.040361709892749786,
-0.8179072141647339,
0.002576048020273447,
-0.15847836434841156,
-0.4612147808074951,
0.37805601954460144,
0.30950793623924255,
-0.28007057309150696,
-0.2498539239168167,
-1.263869047164917,
-0.22114256024360657,
0.009709014557301998,
-0.3301684260... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to... | Tom makes a snowman >Causes/Enables> Tom finishes the snowman
****
| 4 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
-0.1503247767686844,
0.6265864372253418,
0.21077203750610352,
-0.24043509364128113,
-0.40202057361602783,
-0.9731810092926025,
0.3446992337703705,
1.114894151687622,
-0.5819289684295654,
0.05409754067659378,
-0.536747395992279,
0.15534648299217224,
-0.29920920729637146,
-0.2387082278728485... |
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using an... | He became confident by playing his guitar.
| 0 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.17285561561584473,
1.0639653205871582,
-0.44230273365974426,
-0.5712572336196899,
-0.8398014307022095,
0.12179487198591232,
0.7486286759376526,
0.3669220209121704,
0.04820316284894943,
0.12575984001159668,
-0.37416428327560425,
0.24494504928588867,
0.0001949139405041933,
-0.229757025837... |
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM,... | Solution: 0.1377422 | 5 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
-0.28739553689956665,
0.395296573638916,
-0.18320626020431519,
-0.09711131453514099,
-0.2514445185661316,
-0.16544996201992035,
0.7040805816650391,
0.5025626420974731,
-0.06499921530485153,
-0.7271327972412109,
-0.39417800307273865,
0.5739768743515015,
-0.282584547996521,
0.236230477690696... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | [['I', '7', '4', '1', '7', 'V'], ['I', '7', '4', '1', '7', 'a'], ['I', '7', '4', '1', 'V', 'a'], ['I', '7', '4', '7', 'V', 'a'], ['I', '7', '1', '7', 'V', 'a'], ['I', '4', '1', '7', 'V', 'a'], ['7', '4', '1', '7', 'V', 'a']]
****
| 4 | NIv2 | task208_combinations_of_list | fs_opt | [
0.011749518103897572,
0.8077013492584229,
-0.3895745873451233,
0.43606874346733093,
0.39102703332901,
-0.5589616894721985,
0.5715664625167847,
0.7733258008956909,
-0.2991976737976074,
0.11687403172254562,
-0.5177719593048096,
0.307689905166626,
-0.16484837234020233,
-0.13224224746227264,
... |
Detailed Instructions: In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
See one example below:
Problem: ... | A | 4 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | fs_opt | [
-0.03324596583843231,
0.22564516961574554,
-0.4124104082584381,
-0.8924599885940552,
0.1941792517900467,
-1.3526612520217896,
0.3959816098213196,
0.19441810250282288,
-0.12869074940681458,
1.0102726221084595,
0.008673930540680885,
-0.32129696011543274,
-0.022090747952461243,
-0.53091621398... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown a Persian passage. You need to write a Persian question for the passage. Your question should be answerable based on the passage and only have one correct answer.
این سوخت را نخستین بار در آلمان «بنزین» نامیدند... | قبل از پیدایش موتور بنزین چه کاربردی داشت؟ | 1 | NIv2 | task394_persianqa_question_generation | zs_opt | [
0.2815263867378235,
0.5470079779624939,
-0.25046539306640625,
-0.10905931890010834,
-1.0699353218078613,
-0.5741243362426758,
1.3132648468017578,
0.9872504472732544,
0.6109440326690674,
0.19029009342193604,
-1.222082257270813,
0.5740931034088135,
-0.7733579874038696,
0.031062118709087372,
... |
In this task, you will be presented with a question having multiple possible answers in Chinese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: 如果你是盲人，使用电脑能不引起什么？
Options: A 眼疲劳 B 快乐 C 强调 D 腕管综合症 E 高效率
A
Question: 学生想听教授讲什么，他怎... | E
| 0 | NIv2 | task1141_xcsr_zh_commonsense_mc_classification | fs_opt | [
0.45030078291893005,
-0.040101926773786545,
-0.9454634785652161,
-0.32895320653915405,
0.023047953844070435,
-0.017589259892702103,
0.17775174975395203,
0.5772876739501953,
0.6735507249832153,
0.2961701452732086,
0.1560797095298767,
0.3373720049858093,
0.8782678842544556,
-0.34089022874832... |
Teacher: In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Teacher: Now, understand the problem? If you are still confuse... | 2 | 2 | NIv2 | task588_amazonfood_rating_classification | fs_opt | [
-0.2352360188961029,
-0.9991105794906616,
0.4118097424507141,
0.0021423858124762774,
0.5815813541412354,
-0.12097927927970886,
0.3926297128200531,
0.5675973892211914,
-0.6363925933837891,
0.2177588939666748,
0.06541582942008972,
-0.278391569852829,
-0.9162381887435913,
-0.08258259296417236... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Q: Ale nadal nie czułem, że dzięki mnie świat staje się lepszy.
A: | But I still didn't feel like I was making the world a better place. | 9 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.7916176319122314,
1.1217660903930664,
0.37996476888656616,
-0.3507605791091919,
0.14540669322013855,
-1.2584073543548584,
-0.027553150430321693,
-0.19866812229156494,
-0.5753287076950073,
-0.04196298122406006,
0.5373913049697876,
0.305267870426178,
-0.9835116863250732,
0.250084131956100... |
Definition: In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form.... | Labalábá tó dìgbò lẹ̀gún, aṣọ ẹ̀ á fàya. | 2 | NIv2 | task1619_menyo20k-mt_en_yo_translation | zs_opt | [
0.2478291243314743,
0.015708789229393005,
0.2701769173145294,
0.2430928647518158,
0.3940163254737854,
-0.47459930181503296,
-0.14363998174667358,
0.7689152359962463,
0.21973153948783875,
0.04277271777391434,
-0.3054928779602051,
0.14073599874973297,
-0.9840443134307861,
0.3551981449127197,... |
Detailed 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... | Yes | 8 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.37730175256729126,
0.36807146668434143,
0.38619762659072876,
-0.3775884509086609,
-0.5640389919281006,
-0.8735677599906921,
1.4432463645935059,
0.6236574649810791,
-0.36899876594543457,
-0.005348619539290667,
-0.5735063552856445,
-0.44860541820526123,
-0.5308253765106201,
0.1065504252910... |
instruction:
In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an adjunct island or as an incorrect representation. A correct representation should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation of an adj... | bad
| 9 | NIv2 | task1559_blimp_binary_classification | fs_opt | [
-0.2706291675567627,
0.6440735459327698,
0.7772451639175415,
-0.4981318712234497,
-0.5071301460266113,
-1.4450645446777344,
0.7321986556053162,
0.20871281623840332,
0.2850577235221863,
0.1595088094472885,
-0.1062016710639,
-0.14474718272686005,
-0.5493320822715759,
0.13417953252792358,
-... |
Detailed Instructions: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Problem:A Plaid Cymru AM has apologised for discussing his party'... | Plaid AM Neil McEvoy apologises over Senedd press conference | 8 | NIv2 | task1358_xlsum_title_generation | zs_opt | [
-0.5433611273765564,
1.5774848461151123,
-0.05302225425839424,
-0.2789548337459564,
-0.5773117542266846,
-1.7597757577896118,
0.6392680406570435,
-0.8458482027053833,
0.12153775990009308,
0.532089352607727,
0.2920994758605957,
1.1102170944213867,
-0.8312684297561646,
0.06310495734214783,
... |
Definition: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Input: The conversation with Ryan was threatening.
Output: | male | 2 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.30510976910591125,
0.6490811705589294,
-0.2877197861671448,
-0.6929165124893188,
-0.33177462220191956,
0.0858200192451477,
0.47700464725494385,
0.30498480796813965,
0.7574217319488525,
0.32311341166496277,
-1.0987963676452637,
-0.028007397428154945,
-0.9976557493209839,
0.18227307498455... |
Detailed Instructions: In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Fo... | JJ NN VBZ DT NNP WDT VBD VBN RB . VB PRP DT NNS WDT VBZ DT VBN NN IN CD CC VBZ RP CD NN IN NNP NNS , CC DT JJS NN NN IN DT IN JJ NNP . | 8 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
0.4627588093280792,
0.5268756151199341,
0.1632314920425415,
-0.04167158156633377,
0.26933202147483826,
-0.6907819509506226,
1.1305656433105469,
0.9540848731994629,
-0.1162990853190422,
-0.3639894723892212,
-0.10171884298324585,
0.38030990958213806,
-0.7856149673461914,
-0.04607544094324112... |
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Sentence1: Lance was ready to make it on the baseball team. Sentence2: He was currently in his try out. Sentence3: He needed to put on a good performance. Sentence4: ... | Lance, Team | 0 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
0.4478599429130554,
-0.12423776090145111,
-0.33855414390563965,
0.04635100066661835,
0.4374130368232727,
-0.7119094729423523,
0.5194525718688965,
0.42138671875,
0.1691247522830963,
-0.06435570120811462,
-1.1522821187973022,
-0.4918506443500519,
-0.07059544324874878,
-0.007077083922922611,
... |
Detailed Instructions: 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
See one example below:
Problem: Eve... | pissed | 4 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.432798832654953,
-0.12553520500659943,
0.2398974746465683,
-0.5112888216972351,
-0.2979966700077057,
-0.944343626499176,
1.219679355621338,
0.520406186580658,
0.034005261957645416,
-0.13161228597164154,
0.5599563717842102,
0.05216386914253235,
-0.6245111227035522,
0.055909428745508194,
... |
Part 1. Definition
Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
Part 2. Example
English sentence: Roger Federer was the first player to win 20 Grand Slams
Answer: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams
Exp... | ... mga libro at papeles ng buhok sa mga reference na kung saan ay isang tunay minahan ng mga kapaki-pakinabang na mapagkukunan ng materyal. | 7 | NIv2 | task448_opus_paracrawl_en_tl_translation | fs_opt | [
0.2892524302005768,
0.35207486152648926,
-0.6927521228790283,
-0.2935587763786316,
0.6334491968154907,
-1.4347671270370483,
1.1575907468795776,
0.6418076753616333,
0.33703044056892395,
-0.5929450988769531,
-0.26772579550743103,
0.6734607815742493,
-1.153209924697876,
-0.6047027111053467,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
بیایید در مورد آن ومعنی آن فکر کنیم ، اما لطفا "" ، بیایید بیش از آن انجام ندهیم. | Vamos pensar nisso e no que significa, mas por favor, vamos não fazer mais isso. | 0 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.9351275563240051,
0.7456824779510498,
-0.19090723991394043,
0.31751030683517456,
-0.7659064531326294,
-0.12181596457958221,
-0.1337396800518036,
0.6061809062957764,
0.625092089176178,
-0.037536781281232834,
-0.8695700764656067,
0.21684607863426208,
-0.36229372024536133,
0.23975127935409... |
Part 1. Definition
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Part 2. Example
With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.
Answer: Con el crecimiento, los países y las socied... | Las casas que construimos no sobreviven terremotos severos. | 7 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
-0.8300851583480835,
0.7161097526550293,
0.5244373083114624,
-0.16215568780899048,
0.022189822047948837,
-0.040971629321575165,
0.36063462495803833,
1.0133118629455566,
-0.42180246114730835,
-0.28983068466186523,
-0.7905070781707764,
0.3540579080581665,
-0.7000424861907959,
-0.262353748083... |
Teacher: In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research qu... | background | 2 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.1126481294631958,
0.22367849946022034,
-0.1387968361377716,
-0.18606482446193695,
0.2202049195766449,
-0.341694176197052,
-0.2161124348640442,
1.3296971321105957,
0.1980157047510147,
0.5729548931121826,
-0.8484456539154053,
0.2750271260738373,
0.1379297971725464,
-0.09889186918735504,
... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Problem:Nazywa się to rozwojem.
Solution: | این را رشد می نامند. | 8 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
0.14632442593574524,
1.2468273639678955,
0.1586979776620865,
-0.23060199618339539,
-0.6511613130569458,
0.7307695746421814,
1.183942437171936,
-0.2874419093132019,
0.518214225769043,
-0.5161115527153015,
-1.2357710599899292,
0.28654226660728455,
-1.1916979551315308,
0.5932595729827881,
0... |
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 numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by ... | 107.949 | 0 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.27435722947120667,
0.2966962456703186,
-1.0861454010009766,
-0.7602144479751587,
0.2804983854293823,
0.5264389514923096,
0.7212175130844116,
0.4736132323741913,
0.12917190790176392,
0.1649094969034195,
-1.011162519454956,
0.3529747426509857,
-0.3757220506668091,
0.18176084756851196,
0... |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or ant... | Unrelated | 4 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
-0.48459362983703613,
0.3315289616584778,
0.3478352725505829,
0.12993589043617249,
-0.7025506496429443,
0.9857728481292725,
0.5831703543663025,
0.4273223280906677,
0.37161195278167725,
-0.03371862694621086,
-0.4154687821865082,
0.2024480402469635,
-1.0594911575317383,
-0.20556733012199402,... |
Instructions: In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Input: Some may want to get every word exactly ... | English | 3 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.4922701120376587,
0.3716713488101959,
0.6397396326065063,
0.09644779562950134,
-0.330330491065979,
-0.24650302529335022,
0.1560402661561966,
0.37305304408073425,
-0.06996693462133408,
-0.9051516056060791,
-0.3440629839897156,
-0.14503546059131622,
-0.030230429023504257,
-0.1501169353723... |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
concept: Israel answers: ['Hebrew Language', 'Arabic Language'] | what is the main language of israel? | 0 | NIv2 | task1602_webquestion_question_genreation | zs_opt | [
0.4584067463874817,
1.1170578002929688,
0.6024136543273926,
-0.3928385376930237,
-0.12046034634113312,
-0.38824179768562317,
1.0495729446411133,
0.44126880168914795,
0.655906617641449,
-0.5104187726974487,
-0.8458357453346252,
-0.07165734469890594,
-1.3668042421340942,
-0.4856850802898407,... |
Teacher: Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Teacher: Now, understand the problem? If you are still confused, see the following example:
I was very surprised at the high quality of the stitching, the sturdiness of the handles and the padding for my laptop. The price ... | Negative Review | 2 | NIv2 | task1343_amazon_us_reviews_rating | fs_opt | [
0.2610129714012146,
-0.41282713413238525,
-0.18518906831741333,
-0.18174035847187042,
0.58723384141922,
-0.583142876625061,
0.37776514887809753,
0.6946635246276855,
0.6038128733634949,
1.0895425081253052,
-0.02574744075536728,
-0.1764066368341446,
-0.07337425649166107,
-0.4714111387729645,... |
Given the task definition and input, reply with output. You will be given a review about a book, an item, a place or a movie. After that, a question is given that you should answer using a certain span of the review. Your answer should be from the review itself and should not contain extra words, and should not be a co... | tea and cookies were a nice addition to our stay | 5 | NIv2 | task144_subjqa_question_answering | zs_opt | [
0.09043111652135849,
0.8506945371627808,
-0.07281087338924408,
-0.150673046708107,
-0.21307244896888733,
-0.045688170939683914,
0.5782419443130493,
0.34345942735671997,
0.18801596760749817,
-0.20627006888389587,
0.2933599650859833,
-0.09923848509788513,
-0.6500420570373535,
-0.268961369991... |
A text is given in Hindi. Translate it from the Hindi language to the Oriya language. The translation must not omit or add information to the original sentence.
Input: Consider Input: ସେ କହିଥିଲେ ତେଜସ ସବୁଠୁ ଅତ୍ୟାଧୁନିକ ଟ୍ରେନ ମଧ୍ୟରୁ ଅନ୍ୟତମ ଏବଂ ଏହା ‘ମେକ ଇନ ଇଣ୍ଡିଆ’ର ଏକ ଉଦାହରଣ
Output: साथियों, तालकटोरा स्टेडियम में मेरे दे... | Output: अधिनियम के प्रावधानों के प्रथम दृष्टया उल्लंघन का पता लगने पर आयोग ने जांच के लिए संबंधित मामला महानिदेशक (डीजी) को सौंप दिया।
| 2 | NIv2 | task986_pib_translation_oriya_hindi | fs_opt | [
-0.002020200015977025,
0.5724645256996155,
-0.3437502086162567,
0.949345052242279,
-0.14826297760009766,
-0.4722401797771454,
-0.1386391818523407,
0.6003138422966003,
0.01767328381538391,
0.062004558742046356,
-0.15313901007175446,
0.3497906029224396,
0.22639323770999908,
0.347558021545410... |
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Q: राय ने अपने संसऋ-ऊण्श्छ्ष्-मरणों में इसे ऐसे वर्णित किया ... | Hindi
****
| 4 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | fs_opt | [
-0.03743734955787659,
0.5343828201293945,
0.41152286529541016,
0.22250431776046753,
-0.19473876059055328,
-0.317473441362381,
0.12795764207839966,
0.745751142501831,
-0.2549183666706085,
0.1345643401145935,
-1.3583089113235474,
0.5171635150909424,
-0.4989698529243469,
0.366572767496109,
... |
Detailed Instructions: 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 info... | When was the Senator born who sponsored congressional legislation creating White Mountain National Forest? | 9 | NIv2 | task235_iirc_question_from_subtext_answer_generation | zs_opt | [
-0.28580227494239807,
0.16838014125823975,
-0.24669718742370605,
-0.12572027742862701,
-0.3314139246940613,
-1.2232128381729126,
0.31595879793167114,
0.3037465214729309,
0.07423722743988037,
0.3168506622314453,
-0.052825406193733215,
0.2376263439655304,
-0.8014585971832275,
-0.115350052714... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Input: Consider Input: لكن ما تحدث عنه سيرجيو هو, دعونا نفحص جيداً علاقاتنا بهذه التهديدات.
Output: אבל מה שסרג 'יו התכוון הוא לכייל את יחסינו עם האיום.
Input: Consider Input: ♫ هل تذكر عندما كنا نذهب إلى هناك ؟ ♫ ♫ إلى هض... | Output: זה ממש לא בא בחשבון.
| 2 | NIv2 | task1233_ted_translation_ar_he | fs_opt | [
-0.8222002983093262,
0.5305778980255127,
0.08445441722869873,
-0.5538077354431152,
-0.2413320243358612,
-0.8872861862182617,
1.3572770357131958,
0.3408287763595581,
-0.10865862667560577,
-0.03202172741293907,
-0.8104084730148315,
0.16185112297534943,
-1.032252550125122,
-0.3280486166477203... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Input: Consider Input: Esta é unha foto da vez que visitei a baía Prudhoe en Alaska, no ano 2002 para ver o Servizo de Xestión de Minerais probando a súa capacidade para queimar derramamentos de petróleo no xeo.
Output:... | Output: Con quali modalità si potranno rilasciare le patenti di guida?
| 2 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.41165775060653687,
0.4065958261489868,
-0.7468903660774231,
-0.5681347846984863,
-0.19732904434204102,
-1.1095811128616333,
0.5945080518722534,
0.7697767019271851,
-0.334424763917923,
0.18810127675533295,
-0.4048788249492645,
0.3251022398471832,
-0.060359299182891846,
0.2763201892375946... |
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Input: Consider Input: I've read the reviews and I agree that Yuban is... | Output: 2
| 2 | NIv2 | task588_amazonfood_rating_classification | fs_opt | [
0.3425827622413635,
-0.6551058888435364,
-0.07748778909444809,
0.20641714334487915,
0.5722718238830566,
0.06436879932880402,
0.720872163772583,
0.9849072694778442,
-0.004945058841258287,
0.06929546594619751,
-0.25165456533432007,
-0.09284676611423492,
-0.3827625811100006,
-0.42753118276596... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Q: E a furia maníaca de Nathaniel foi transformada en comprensión, unha tranquila curiosidade e un estado de graza.
A: | והזעם המשוגע של נתנאל הפך להבנה סקרנות שקטה, וחן. | 4 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-0.36788272857666016,
0.7844518423080444,
0.7799537181854248,
-0.8314235806465149,
-0.5553855895996094,
-0.9464675784111023,
0.9039958715438843,
0.30714601278305054,
0.46547502279281616,
-0.3473880887031555,
0.19572356343269348,
0.30363497138023376,
-1.5714030265808105,
-0.2660033702850342... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
| 3 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
0.94002765417099,
0.09388162195682526,
0.11887337267398834,
0.4098982512950897,
-0.6489777565002441,
-1.1649720668792725,
0.8540655374526978,
0.47753697633743286,
-0.5728415250778198,
-0.02067311480641365,
-0.7404192686080933,
-0.011378820054233074,
-0.9346671104431152,
-0.1058304086327552... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Example: Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É coma unha película. Ten cor. Ten movemento.
Example solution: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" ... | Solution: אז כולנו מסתכלים על אותם פנים שוב. | 5 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.46488863229751587,
0.5950320959091187,
0.18699108064174652,
-0.5240572690963745,
-0.3410865366458893,
-0.17086924612522125,
0.748617947101593,
0.34065067768096924,
-0.6917953491210938,
-0.6809165477752686,
-0.22284996509552002,
-0.16849485039710999,
-0.909855842590332,
0.035357035696506... |
instruction:
In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
question:
['d', 'd', '8701', '7581', 'n', '4961', '629', 'l', '873', '1997']
answer:
d, d, n, l
question:
... | C, K, n, V, v, a, x, s, F, P, X, d
| 9 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | fs_opt | [
-0.28393876552581787,
0.524329423904419,
-0.5478837490081787,
-0.4213888645172119,
-0.4353870749473572,
0.1142454668879509,
1.0887761116027832,
0.2060835361480713,
-0.35070526599884033,
0.26990172266960144,
-0.3017352521419525,
-0.26322996616363525,
-0.03337317705154419,
-0.175906121730804... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
| 5 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
1.1633777618408203,
0.09921656548976898,
-0.21236304938793182,
-0.11544636636972427,
0.01710876077413559,
-0.9544390439987183,
1.0509462356567383,
0.655145525932312,
-0.4771348536014557,
-0.46514075994491577,
-0.7986084222793579,
-0.0016291146166622639,
-0.3534359037876129,
0.2200080603361... |
Definition: 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) ... | After spearheading an epic, 18-hour documentary on the Vietnam War, acclaimed filmmaker Ken Burns has turned to more personal subject matter — one that knows him very intimately, too. | 2 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
0.8822435736656189,
-0.15828999876976013,
-0.35311317443847656,
0.40097659826278687,
0.5379791855812073,
-0.38625770807266235,
0.36151736974716187,
0.9101883769035339,
-0.27395111322402954,
0.4530586302280426,
-0.21557769179344177,
0.3683234453201294,
-0.0961812436580658,
0.133195728063583... |
Detailed Instructions: In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: a train passes a station platform in 30 sec and a man standing on the platform in 20 sec . if the speed of the train is 54 km / hr . what is the ... | e | 9 | NIv2 | task1422_mathqa_physics | zs_opt | [
0.04395381361246109,
-0.08627589046955109,
-0.2759706974029541,
-0.776682436466217,
-0.02346944436430931,
-0.21988794207572937,
0.7025138139724731,
0.832221508026123,
0.08151650428771973,
0.1373501718044281,
-0.8192098140716553,
0.4372416138648987,
0.1787916123867035,
-0.3001273274421692,
... |
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 ... | Hate Speech | 8 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.4810018837451935,
0.37417566776275635,
0.1954912543296814,
0.6223154067993164,
-0.12862035632133484,
-1.1381199359893799,
0.07582685351371765,
0.4038017690181732,
0.3720625638961792,
0.3163951635360718,
-0.25263816118240356,
-0.0055894795805215836,
-0.4508507549762726,
-0.89408361911773... |
Part 1. Definition
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Part 2. Example
それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です
Answer: Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la av... | Fue un proyecto realmente desafiante para el intelecto, y una vez que alcanzamos esta etapa tuvimos gran confianza de que podíamos intentarlo y hacer otras cosas con este sistema, de hecho, simular el cuerpo y simular la parte del sistema nervioso que lo controla. | 7 | NIv2 | task1223_ted_translation_ja_es | fs_opt | [
-0.2569925785064697,
0.05727221444249153,
-0.1302429735660553,
-0.6818639039993286,
-0.29632920026779175,
-0.22900864481925964,
0.20511794090270996,
0.24985167384147644,
0.13259148597717285,
-0.659852147102356,
-0.3622247874736786,
-0.14016097784042358,
-1.366540789604187,
-0.1990910172462... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
Example input: در جنوب غرب نیجریه ، این گیاه به عنوان Gbe'borun شناخته می شود.
Example output: In the southwestern part of Nigeria, the plant is known as Gbe'borun.
Example explanation: The Farsi sentence is correctly tran... | Bad technology disappears. | 3 | NIv2 | task1265_ted_translation_fa_en | fs_opt | [
-1.0803964138031006,
0.35819578170776367,
-0.12395543605089188,
-0.18231356143951416,
0.12100118398666382,
-0.8946150541305542,
0.7958534359931946,
0.2544543147087097,
-0.2998713552951813,
0.6504853963851929,
-1.0510101318359375,
0.09648295491933823,
-0.7324358224868774,
0.4340208470821380... |
Given a sentence in Russian, generate a new Russian 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... | Вы можете использовать районную карту, чтобы найти адрес.
| 7 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
-0.286419540643692,
0.4430699944496155,
-0.05409131944179535,
-0.6393653750419617,
-0.8301259875297546,
0.17444974184036255,
0.7489408850669861,
1.1868104934692383,
0.3114926815032959,
-0.488359272480011,
-1.0226997137069702,
0.010943174362182617,
-0.4571107029914856,
0.528434157371521,
... |
Detailed Instructions: In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into "Contradiction", "Neutral", or "Entailment".
Probl... | Contradiction | 8 | NIv2 | task463_parsinlu_entailment_classification | zs_opt | [
-0.7816466093063354,
0.35402601957321167,
-0.22013026475906372,
-0.2891339361667633,
-0.45271819829940796,
-0.5592231750488281,
1.129040002822876,
0.7669589519500732,
1.1486766338348389,
0.1459074318408966,
-1.0585308074951172,
-0.2605513334274292,
-0.27042481303215027,
-0.4466912448406219... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Input: Consider Input: نعم، انه سوف يأتي ويناديك بـ (توم)
Output: Yeah, he's going to come in here and he's going to call you Tom.
Input: Consider Input: مديرية السياسات الاجتماعية
Output: Social Policy Directorate
I... | Output: Your idea?
| 2 | NIv2 | task650_opus100_ar_en_translation | fs_opt | [
0.17273709177970886,
0.20329338312149048,
0.12379930913448334,
-0.80619877576828,
-0.4215630292892456,
-0.8215607404708862,
-0.13528114557266235,
-0.20951686799526215,
0.5145667791366577,
0.7904861569404602,
-0.12977948784828186,
0.903304934501648,
-0.4300653338432312,
-0.06079797446727753... |
You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to find the value... | measurement
| 5 | NIv2 | task834_mathdataset_classification | fs_opt | [
0.803612232208252,
0.3106229603290558,
-0.2677842080593109,
0.21907776594161987,
0.2015700340270996,
-0.2628400921821594,
-0.2585170865058899,
1.0052096843719482,
0.14922583103179932,
-0.25462931394577026,
-0.5159865021705627,
-0.015789685770869255,
-0.2718318998813629,
-0.3523263335227966... |
TASK DEFINITION: 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 ... | green_box
| 8 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
0.2853723168373108,
-0.14669233560562134,
-0.49855443835258484,
-0.1274450272321701,
-0.18986931443214417,
-0.232132226228714,
0.4022876024246216,
0.25879472494125366,
0.11986926943063736,
-0.4195939302444458,
-0.2076575756072998,
0.17617467045783997,
0.03587859496474266,
0.184368371963500... |
Detailed Instructions: Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the q... | electricity. | 9 | NIv2 | task041_qasc_answer_generation | zs_opt | [
0.75855553150177,
1.127385139465332,
-0.3238524794578552,
-0.3080488443374634,
-0.5635477900505066,
-1.6369270086288452,
0.6540228128433228,
0.1794928014278412,
0.3422830104827881,
-0.3087024688720703,
0.02685099095106125,
0.6817435026168823,
-0.33469337224960327,
-0.00803942047059536,
-... |
Detailed Instructions: 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... | said | 9 | NIv2 | task390_torque_text_span_selection | zs_opt | [
-0.15215244889259338,
0.21947604417800903,
-0.12218830734491348,
0.43940985202789307,
-0.8262279033660889,
0.07662145793437958,
0.3191787302494049,
0.623528003692627,
0.15857896208763123,
0.3674083352088928,
-0.07993075996637344,
0.7218663096427917,
-0.23376120626926422,
0.9612332582473755... |
A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
[EX Q]: عالمی اقتصادی نمو اور خوشحالی میں بھارت کا تعاون ‘‘منصفانہ اور ہمہ گیر ترقیات کے لیے اتفاق رائے قائم کرنے’’ کے تئیں ہماری عہد بندگی کی تصدیق کرتا... | 55 લાખ પોસ્ટ ઓફિસ 31 ડિસેમ્બર, 2018 સુધીમાં આઇપીપીબી પ્રણાલી સાથે જોડાઈ જશે.
| 6 | NIv2 | task1002_pib_translation_urdu_gujarati | fs_opt | [
0.057217568159103394,
0.10098090767860413,
-0.15277314186096191,
-0.6959825754165649,
-0.4802356958389282,
0.0691356211900711,
0.7789154052734375,
-0.05397655814886093,
-0.23813144862651825,
-0.3246397376060486,
-0.6532715559005737,
0.5734772682189941,
-0.2992536425590515,
0.42076468467712... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Problem:È parecchia pressione per un bottoncino e per il designer che vi sta dietro, ma con questo tipo di prodotti, anche le piccole cose vanno fatte bene.
Solution: | برای یه دکمه کوچیک و طراح پشتش ، فشار زیادیه ولی با محصولاتی ازین دست لازمه که حتی موارد کوچیک رو درست درک کنی. | 8 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
0.383401095867157,
0.7744585275650024,
-0.22331944108009338,
-0.437313437461853,
-0.2606615126132965,
-0.6586863994598389,
0.11569946259260178,
1.0675575733184814,
0.03247250244021416,
0.44908255338668823,
-0.8697552680969238,
0.4919048249721527,
-0.4828958511352539,
0.3643384575843811,
... |
Detailed Instructions: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation ... | weakener | 8 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.20823818445205688,
0.5777693390846252,
-0.2847403883934021,
0.4159923195838928,
-0.054916299879550934,
-0.9861144423484802,
0.5531548261642456,
0.9945193529129028,
0.11395785212516785,
-0.44233354926109314,
-1.4334676265716553,
0.1523759961128235,
-0.7669574022293091,
-0.317995518445968... |
Instructions: The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Input: Jamel found himself in a threatening situation.
Output: | fear | 3 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | zs_opt | [
-0.5441346168518066,
0.5582531690597534,
0.6064637899398804,
-0.9417901635169983,
-0.27561235427856445,
0.024874022230505943,
1.0183112621307373,
0.7495519518852234,
-0.014390825293958187,
-0.3981887102127075,
-0.3671514689922333,
-0.30054086446762085,
-0.7118256092071533,
-0.5369787812232... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
[EX Q]: La contraparte británica se llama Edgehill, una batalla de la guerra civil del Reino Unido.
[EX A]: همتای انگلیسی آن « ادجهیل » هست که نبرد جنگ داخلی انگلیس است.
[EX Q]: Veamos el siguiente vídeo, por favor. Vean lo... | ما در تلاش برای درک تهدید علیه مان بودیم.
| 6 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.8535728454589844,
0.4852569103240967,
0.7085418105125427,
-0.6316450834274292,
-0.3624833822250366,
-0.7160744667053223,
0.6155564785003662,
0.5726326704025269,
-0.07553575932979584,
-0.7865365743637085,
-0.6883662939071655,
0.20469775795936584,
-0.5285685062408447,
0.2931634783744812,
... |
instruction:
Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
question:
Verify if the sentiment of the following document towards the entity Jarrett Jack is N... | no
| 9 | NIv2 | task422_persent_sentence_sentiment_verification | fs_opt | [
-0.13059502840042114,
-0.40643662214279175,
-1.0323466062545776,
0.9689278602600098,
0.11673860251903534,
-1.0369348526000977,
0.2303272932767868,
0.08169496059417725,
-0.09852808713912964,
-0.009176842868328094,
-0.22057104110717773,
0.45714518427848816,
0.36169323325157166,
-0.0777065157... |
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. A... | Bullfrogs are of the class of creatures that were the first true tetrapods. | 4 | NIv2 | task038_qasc_combined_fact | zs_opt | [
-0.024481065571308136,
1.022486686706543,
-0.10340554267168045,
0.08835190534591675,
-0.840229868888855,
-0.6785017251968384,
0.03816889971494675,
0.40278562903404236,
-0.5787782073020935,
-0.2847147583961487,
-0.886652946472168,
0.16516008973121643,
-0.47458308935165405,
0.209626674652099... |
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 part-of-speech tags i.e tagset of this corpus is -
'.... | PRT
****
| 4 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.5431376695632935,
0.17225967347621918,
-0.048208389431238174,
0.044003501534461975,
0.016645200550556183,
-0.7635848522186279,
0.6561769843101501,
0.6862666606903076,
-0.4068741798400879,
-0.14715182781219482,
-0.5761083960533142,
0.17489078640937805,
-0.7400369644165039,
0.4666357338428... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
Example: SECTION 1. LIABILITY OF BUSINESS ENTITIES PROVIDING USE OF FACILITIES
TO NONPROFIT ORGANIZATIONS.
... | Accounts Receivable Insurance Program Act - Establishes within the Treasury a government-backed private accounts receivable insurance program to assist small manufacturers in the underwriting and guarantee of payment through the insurance of their accounts receivable. Directs the Secretary of the Treasury to insure (gu... | 1 | NIv2 | task1658_billsum_summarization | fs_opt | [
0.49696701765060425,
0.1428251564502716,
0.03597884997725487,
-0.039350900799036026,
0.4819597005844116,
-0.1969793140888214,
0.733000636100769,
1.1509462594985962,
-0.38914555311203003,
-0.10662460327148438,
-0.3586013615131378,
0.35860490798950195,
0.18753474950790405,
-0.229853063821792... |
In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
[EX Q]: 普宁市人民检察院指控：2009年4月份开始，被告人陈某伙同同案人陈某1（已判刑）在普宁市占陇镇某地“某楼”加... | 玩忽职守
| 6 | NIv2 | task1667_cail2018_answer_generation | fs_opt | [
0.22050432860851288,
-0.010753167793154716,
-0.7337180376052856,
-0.5102310180664062,
0.2940509021282196,
-0.48842233419418335,
0.11998649686574936,
1.2161505222320557,
-0.5383375883102417,
0.3591635227203369,
-0.3577718436717987,
0.8901718258857727,
-0.45260149240493774,
0.095442079007625... |
In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an adjunct island or as an incorrect representation. A correct representation should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation of an adjunct island w... | bad
| 1 | NIv2 | task1559_blimp_binary_classification | fs_opt | [
-0.3955405354499817,
0.5491076707839966,
-0.03720933198928833,
-0.6751057505607605,
-0.08073367178440094,
-1.4672633409500122,
0.5807463526725769,
0.18311241269111633,
0.2098677158355713,
0.24657122790813446,
0.3007179796695709,
-0.2584628164768219,
-0.5209916830062866,
-0.0633496791124343... |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while... | Output: True
| 2 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.522110104560852,
0.11602470278739929,
-0.3857063949108124,
-0.19362898170948029,
0.27239125967025757,
-0.4143963158130646,
0.5990190505981445,
0.7965250611305237,
0.5024253726005554,
0.32934755086898804,
-0.6150212287902832,
0.13774555921554565,
-0.7799843549728394,
-0.35863059759140015,... |
Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
One example: excavator, crane, pelican, hoist, upraise
Solution is here: pelican
Explanation: The common category here are words related to construction. A pel... | bike | 6 | NIv2 | task142_odd-man-out_classification_no_category | fs_opt | [
0.315073698759079,
0.6485116481781006,
-0.44706106185913086,
0.0482180193066597,
0.19461239874362946,
0.025222765281796455,
0.5123271942138672,
0.32162177562713623,
0.02855101227760315,
-0.5871591567993164,
-1.2377153635025024,
0.4176560640335083,
-0.7007072567939758,
0.3647429645061493,
... |
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: so this started way back on my birthday in 2012. i decided to treat myself for it and boug... | team won... i didnt... oh wait... i did. no i didn't... yeah i did... oh fuck i peppercorn did not... i did i did... oh fuck no.... yes... i'm a winner.
| 6 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
-0.46307817101478577,
0.360526978969574,
-0.47281524538993835,
-1.17719304561615,
0.49316588044166565,
-0.3242841958999634,
0.8482666611671448,
0.7835690975189209,
-0.004686378408223391,
-0.18395820260047913,
-0.2853359580039978,
0.6731154322624207,
-0.6254639625549316,
0.2036340832710266,... |
Given the task definition and input, reply with output. In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
اماخداوند با یوسف میبود و بر وی احسان میفرمود، و او را در نظر داروغه زندان حرمت داد.
| And it came to pass, when his master heard the words of his wife, which she spake unto him, saying, After this manner did thy servant to me; that his wrath was kindled. | 5 | NIv2 | task654_bible_fa_en_translation | zs_opt | [
-0.5035622119903564,
0.9145734310150146,
-0.39440053701400757,
-0.07853859663009644,
-1.1553572416305542,
0.35399943590164185,
0.7337478399276733,
0.08438755571842194,
0.8613415956497192,
-0.23361068964004517,
-1.2389352321624756,
0.6847912669181824,
-0.02190755307674408,
-0.39593869447708... |
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... | Ein Zeitungstext wird durch eine Bombe beendet.
| 6 | NIv2 | task416_mickey_de_sentence_perturbation_generation | fs_opt | [
-0.7130056619644165,
0.4898923635482788,
0.25218480825424194,
-0.5504404306411743,
0.021474819630384445,
-0.37667256593704224,
0.822270393371582,
0.7810425758361816,
-0.07434509694576263,
0.21958759427070618,
-0.42392703890800476,
0.0676296204328537,
-1.1693525314331055,
0.2469035238027572... |
In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anythi... | D | 3 | NIv2 | task309_race_answer_generation | fs_opt | [
0.3288078308105469,
0.3981923460960388,
-0.10180582106113434,
-0.5707759261131287,
0.2982669472694397,
-0.4384569823741913,
1.1301969289779663,
0.7851067781448364,
-0.319673091173172,
-0.2714747190475464,
0.14325112104415894,
0.030336009338498116,
-0.06271633505821228,
0.40487247705459595,... |
Q: The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user may ask details of the place sugge... | You are looking for a drinks and snacks only restaurant. You don't care about the price range. Make sure you get the address and area. | 7 | NIv2 | task1499_dstc3_summarization | zs_opt | [
0.24610264599323273,
0.3645120859146118,
-0.6074751615524292,
-0.02870284765958786,
0.30620133876800537,
-0.4525173306465149,
0.5806307196617126,
0.7205950617790222,
-0.5502398014068604,
0.2165241539478302,
0.6643094420433044,
-0.38449132442474365,
-0.24478977918624878,
0.3591521382331848,... |
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