inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Detailed Instructions: In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Q: Porque la ampliación, la globalización, el envejecimiento, la individualización y los... | Indeed, expansion, globalisation, a sharp increase in the ageing population, individualisation and changes in family situations render such reorganisation inevitable. | 9 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
-0.7085523009300232,
0.9795798063278198,
0.06468954682350159,
-0.669569730758667,
-0.12188635766506195,
-0.5854707360267639,
-0.09612181782722473,
0.5132985711097717,
0.004064754582941532,
-0.28854966163635254,
-0.23787131905555725,
0.0841190442442894,
-1.3559439182281494,
-0.2096256613731... |
Given the task definition, example input & output, solve the new input case.
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it ca... | English and French origin | 1 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.3431602120399475,
0.5599328279495239,
-0.2789594829082489,
0.18133656680583954,
-0.28568360209465027,
-0.7950862646102905,
0.8413839340209961,
0.3468632102012634,
0.09546157717704773,
-0.6532873511314392,
-0.49005991220474243,
0.13487020134925842,
-0.2763812243938446,
-0.109652340412139... |
In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office Holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Fil... | 7 | 0 | NIv2 | task629_dbpedia_14_classification | zs_opt | [
-0.08855884522199631,
-0.26550978422164917,
0.09955726563930511,
0.02560766413807869,
0.6429315209388733,
-0.015201114118099213,
0.10992824286222458,
0.42169857025146484,
-0.6425012350082397,
0.2560548186302185,
-0.08268547058105469,
0.27348512411117554,
-0.40482982993125916,
-0.2031766772... |
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguish... | a porpoise. | 0 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.13636070489883423,
0.9654611349105835,
-0.591180682182312,
-0.0051123942248523235,
-0.2961525022983551,
-1.191211462020874,
0.9086117744445801,
0.14881789684295654,
-0.05225390940904617,
-0.18832825124263763,
-0.9285531640052795,
-0.3054301142692566,
-0.7025721073150635,
0.68609535694122... |
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Input: Sentence 1: If the project team does not complete its design or programming... | 1 | 3 | NIv2 | task198_mnli_domain_classification | zs_opt | [
-0.29254043102264404,
0.2786419093608856,
0.6496326327323914,
-0.15094071626663208,
0.20266906917095184,
0.4635929465293884,
-0.40129658579826355,
0.7013418674468994,
-0.45460766553878784,
0.2955377697944641,
-0.3645303249359131,
-0.5049601793289185,
-0.23282413184642792,
-0.48980695009231... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Abstract: Lysine acetylation is a key mechanism that regulates chromatin structure; aberrant acetylation levels have been linked to the d... | no | 0 | NIv2 | task1587_scifact_classification | zs_opt | [
0.03875178098678589,
-0.1429395079612732,
-0.405940979719162,
0.3052227795124054,
0.22461368143558502,
-0.4588221311569214,
-0.028251908719539642,
0.7899481058120728,
0.20181895792484283,
-0.21755677461624146,
-0.8008847236633301,
0.8630980253219604,
-0.28892412781715393,
0.412609219551086... |
In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
--------
Question: A plant needs to use the roots of itself to move essential things (A) to the dirt (B) to the sky (C) to the plasma (D) to the buds
Answer: D
Qu... | B
| 7 | NIv2 | task1286_openbookqa_question_answering | fs_opt | [
-0.10748431831598282,
0.7595858573913574,
-0.2295016348361969,
0.10504308342933655,
-0.5653290152549744,
-0.7403133511543274,
0.616553008556366,
0.44119253754615784,
-0.15706470608711243,
-0.069949209690094,
-0.7190062999725342,
-0.17264419794082642,
-0.5137914419174194,
0.4094659090042114... |
Teacher: A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
ਪੱਛਮ ਤੋਂ ਪੂਰਬ ਤੱਕ ਊਰਜਾ ਖਪਤ ਵਿੱਚ ਇੱਕ ਤਬਦੀਲੀ ਆਈ ਹੈ... | രാജ്യസഭയില് തീര്പ്പാകാതെ കിടക്കുന്ന 2013 ഓഗസ്റ്റ് 26ന് അവതരിപ്പിച്ച നളന്ദ സര്വകലാശാ (ഭേദഗതി)ബില് 2013 പിന്വലിക്കാനുള്ളതാണ് ഇപ്പോഴത്തെ നിര്ദ്ദേശം. നളന്ദ സര്വകലാശാല നിയമം 2010ലെ നിലവിലെ ചില വ്യവസ്ഥകള് ഭേദഗതി ചെയ്യുന്നതിനും പുതിയ ചില വ്യവസ്ഥകള് കൂട്ടിച്ചേര്ക്കുന്നതിനുമുള്ളതായിരുന്നു അത്. | 2 | NIv2 | task1006_pib_translation_punjabi_malayalam | fs_opt | [
0.17600518465042114,
0.46943238377571106,
-0.23104551434516907,
-1.1763502359390259,
-0.6279148459434509,
-1.489140272140503,
0.24217835068702698,
0.6380442976951599,
-0.014458646066486835,
0.2337636500597,
-0.07859515398740768,
-0.2379404902458191,
-0.929062008857727,
-0.5643244981765747,... |
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, y... | Good
| 5 | NIv2 | task673_google_wellformed_query_classification | fs_opt | [
-0.3037155568599701,
0.5110765695571899,
-0.4613894522190094,
-0.0018705562688410282,
-0.4020985960960388,
-0.6162023544311523,
0.5441693067550659,
0.32773128151893616,
0.27613958716392517,
0.017593733966350555,
-0.30404284596443176,
0.13120967149734497,
-0.6181783080101013,
-0.41451293230... |
Teacher: This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample rea... | How many years after the wettest year did the driest year happen? | 2 | NIv2 | task026_drop_question_generation | fs_opt | [
0.982418954372406,
0.15673772990703583,
-0.10601193457841873,
-0.2641497254371643,
0.550761342048645,
-1.0985145568847656,
0.6751259565353394,
0.6909988522529602,
0.27769774198532104,
0.06126619875431061,
-0.13014866411685944,
0.2022053599357605,
-1.005826711654663,
0.07772219926118851,
... |
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 ... | [-5.5, 126, -17.5, 294, 70, 5.0, -58, 22.5, -21.0] | 0 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.24275794625282288,
0.8527348041534424,
-0.2679571509361267,
-0.3086574077606201,
0.2163590043783188,
-0.12360235303640366,
1.2087814807891846,
0.41636335849761963,
0.11950603872537613,
0.22291991114616394,
-0.42040881514549255,
-0.5048500299453735,
-0.513681173324585,
0.0798444747924804... |
Q: Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Question1: Who is Lionel Messi?, Question2: Why don't you like Lionel Messi?
A: | No | 7 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
-0.21884535253047943,
0.5128759741783142,
-0.18586280941963196,
0.017192911356687546,
-0.2777278423309326,
-0.540526807308197,
-0.0795043408870697,
0.25560909509658813,
0.25323960185050964,
-0.24064823985099792,
-1.036290168762207,
-0.3514166474342346,
-0.6250672936439514,
0.09562224894762... |
Definition: In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Input: ['s', 'o', 'b', '2127', 't', '5225', 'x', '82... | b, c, g, j, k, o, q, s, t, w, x, z | 2 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.43604499101638794,
0.5177215337753296,
-0.16802547872066498,
0.11899745464324951,
0.6961475014686584,
0.07146341353654861,
0.7857266664505005,
-0.6066967248916626,
-0.588496744632721,
0.39289623498916626,
-0.4774571657180786,
-0.49792927503585815,
0.34565281867980957,
0.0152242686599493... |
Definition: This task is to translate a news commentary statement given in German language into Spanish 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.
Input: Und doch dürfte er wahrscheinlic... | No obstante, con toda probabilidad habría estado mucho más desilusionado con la incapacidad de los palestinos para hacerse a la idea de la existencia de un Estado judío. | 2 | NIv2 | task1373_newscomm_translation | zs_opt | [
-0.5734376907348633,
0.32931163907051086,
0.11420285701751709,
0.39804837107658386,
-0.20297640562057495,
0.3532097637653351,
0.9726865291595459,
0.9619629383087158,
0.8140239715576172,
-0.23778000473976135,
-0.4815470576286316,
0.4604669511318207,
-0.8560630679130554,
0.08987312018871307,... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: in an election between two candidates - lange ... | d | 1 | NIv2 | task1419_mathqa_gain | zs_opt | [
-0.25394243001937866,
0.29036280512809753,
-0.06827504932880402,
0.39550870656967163,
0.06538519263267517,
-0.3096942901611328,
0.8714448809623718,
0.7419556379318237,
0.07650985568761826,
-0.08669790625572205,
-0.4647442698478699,
0.13968800008296967,
-0.12491622567176819,
-0.550493955612... |
Definition: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Input: My roo... | telling my roommate that I can't afford for our heat to be turned on to 75 degrees | 2 | NIv2 | task500_scruples_anecdotes_title_generation | zs_opt | [
0.15403857827186584,
-0.09912621974945068,
-0.16260407865047455,
-0.07384427636861801,
0.3256903290748596,
-0.9938576817512512,
0.32952749729156494,
1.0776301622390747,
-0.5714832544326782,
0.32271772623062134,
0.6742763519287109,
0.31513750553131104,
-0.541187047958374,
-0.163482904434204... |
Teacher: 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').
Teacher: Now, understand the problem? If you are still confused, see the following example:
Female snakes incubate eggs inside of their bo... | a | 2 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
-0.535246729850769,
-0.1726142168045044,
-0.6328206062316895,
-0.16050848364830017,
-0.2524712085723877,
-0.31618016958236694,
0.3146136403083801,
0.8571335077285767,
-0.1769007444381714,
0.3139576315879822,
0.30207979679107666,
0.09667782485485077,
-1.0701874494552612,
-0.0204774048179388... |
Detailed Instructions: Given a document, 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].
Q: Verify if the sentiment of the following document towards the entity Randal Quarles... | no | 9 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
-0.27842336893081665,
0.3470948338508606,
-0.5082298517227173,
-0.08025076240301132,
0.10508867353200912,
-0.3878944516181946,
0.8101907968521118,
0.5316793918609619,
-0.06859710812568665,
0.4446660280227661,
-0.08449280261993408,
0.0535932257771492,
0.01781618222594261,
0.3076996207237243... |
Part 1. Definition
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Part 2. Example
E eu continuo a pensar que o transporte é o centro deste universo.
Answer: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Explanation: The Portugese sentence is correctly transla... | (خنده) منظورم این است که ، موضوع جالبی برای یک جشن تولد است یا در کنار ماشین قهوه ، اما تقسیم کردن آن با همکارانت چیز دیگری است. | 7 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.2858928442001343,
0.8419781923294067,
0.45116281509399414,
0.0032592182978987694,
-0.5257453918457031,
-0.19095435738563538,
0.8626446723937988,
0.2531256675720215,
0.4222065210342407,
0.03190309926867485,
-1.1791605949401855,
0.444227010011673,
-0.4153484106063843,
0.4830847978591919,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
| 3 | NIv2 | task1201_atomic_classification_xintent | fs_opt | [
0.7055479884147644,
-0.4251103401184082,
0.2696354389190674,
0.12165641784667969,
-0.06570504605770111,
-1.2718113660812378,
1.4352285861968994,
1.0179592370986938,
-1.0248606204986572,
-0.14096151292324066,
-0.6363791823387146,
-0.3213387131690979,
-0.7397029399871826,
0.14894655346870422... |
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Let me give you an example: A photo series on the popular Humans of New York Facebook page may have went viral and captured the nation’s attention last Tuesday, but for Daniel Kang, the post rea... | Chronic pain can be downright unbearable, and opioids to treat it can be hard to quit. In fact, with opioid addiction claiming more lives than ever, the US is experiencing what President Trump has just called a national emergency. Researchers found that in 2015, one in three Americans took opioid painkillers—sometimes ... | 8 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.6613144874572754,
0.16050447523593903,
-0.051731280982494354,
-0.19943273067474365,
0.9627763628959656,
-0.22454833984375,
1.1162514686584473,
0.8074255585670471,
-0.4003203213214874,
0.7032581567764282,
0.0346568301320076,
0.3659578561782837,
-0.293748676776886,
0.44362449645996094,
-... |
Given the task definition and input, reply with output. 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].
Verify if the sentiment of the following document to... | yes | 5 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-0.8492317199707031,
-0.40815606713294983,
0.5114312171936035,
0.02938164584338665,
-0.1443309336900711,
-0.8227416276931763,
0.6291956901550293,
-0.08509957790374756,
0.2543818950653076,
0.3374386131763458,
-0.31957653164863586,
0.12275576591491699,
-0.447704017162323,
-0.2503271996974945... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: Consider Input: Wikinews contacted the McCain campaign with a request... | Output: दोपहर 1 बजे (1100 यूटीसी) के छात्रों, विद्यार्थियों और आम नागरिकों ने गिएन शहर से होकर मार्च किया, जिसमें बड़े पैमाने पर पुलिस की उपस्थिति थी और यह कई वर्षों में शहर का सबसे बड़ा प्रदर्शन था।
| 2 | NIv2 | task432_alt_en_hi_translation | fs_opt | [
-0.106348916888237,
0.29995834827423096,
0.28503814339637756,
-0.10243642330169678,
0.0029897396452724934,
-0.062416136264801025,
0.2281593680381775,
0.5276901721954346,
0.014877375215291977,
0.30216848850250244,
0.4398616552352905,
0.5416454076766968,
-0.5669703483581543,
0.29624614119529... |
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Text: this occurred a couple weeks ago.
i work in retail and we were prepping for a huge ... | TIFU By Making My Boss look dumb in front of the president of the company | 0 | NIv2 | task510_reddit_tifu_title_summarization | zs_opt | [
-0.6520977020263672,
0.8017569184303284,
-0.1859302520751953,
-0.04913841933012009,
0.11108019202947617,
0.19561421871185303,
-0.053190428763628006,
0.45461663603782654,
0.2678983807563782,
0.10177252441644669,
-0.45925354957580566,
0.16753914952278137,
-0.8203929662704468,
0.3169848918914... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Ex Input:
(تشویق حضار) یکی از دلایلی که چرا این موسسه به تنهایی کافی نیست این است که ما باید تمام افراد دنیا را تشویق کنیم که رفتار خودشان را نیز تغییر دهند در نتیجه شما نیاز به یک آیین جهانی از مسولیت ها و برابری دارید شام... | Tres árbores xuntas: unha selva.
| 1 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-0.6935783624649048,
0.8004379272460938,
-0.31723761558532715,
-0.6212451457977295,
-1.0203282833099365,
-1.0744061470031738,
0.5059630274772644,
0.3466724157333374,
-0.00397048145532608,
-0.17437225580215454,
-0.7587703466415405,
0.7481159567832947,
-0.6455280780792236,
0.3026179671287536... |
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence an... | [['[TABLECONTEXT]', 'MONTH', 'Record high °F (°C)'], ['Record high °F (°C)', 'MAY', '95 (35)'], ['[TABLECONTEXT]', '[TITLE]', 'Fayetteville, Arkansas'], ['Record high °F (°C)', 'APR', '96 (36)']] | 4 | NIv2 | task1410_dart_relationship_extraction | zs_opt | [
0.09164764732122421,
-0.024723999202251434,
-0.43786776065826416,
0.14759203791618347,
-0.48548269271850586,
-0.46730300784111023,
0.9563020467758179,
0.18346504867076874,
-0.5983535051345825,
-0.21309944987297058,
-0.8941525816917419,
0.00167284591589123,
-0.4658050537109375,
0.3016185760... |
A text is given in Tamil. Translate it from the Tamil language to the Malayalam language. The translation must not omit or add information to the original sentence.
One example: இளவயது பெண்களைச் சந்திக்கும் வாய்ப்பு எனக்குக் கிட்டியது, அவர்களில் சில பெண்கள் இமயமலைப் பகுதியில் பிறந்தவர்கள்
Solution is here: എനിക്ക് യുവത... | പി എം ജെ എ വൈ എത്ര സമഗ്രമാണെന്ന് വിവരിച് കൊണ്ട് , അത് കാൻസർ , ഹൃദ്രോഗം തുടങ്ങിയ ഗുരുതര രോഗങ്ങൾ ഉൾപ്പെടെ 1300 രോഗങ്ങൾക്ക് പ്രയോജനപ്പെടുമെന്ന് പ്രധാനമന്ത്രി വ്യക്തമാക്കി. | 6 | NIv2 | task1000_pib_translation_tamil_malayalam | fs_opt | [
-0.028546370565891266,
-0.1623726338148117,
-0.5427596569061279,
-0.3896503150463104,
-0.049923453480005264,
-1.2168140411376953,
-0.1292945295572281,
1.1774872541427612,
0.09817273914813995,
-0.08611118793487549,
-0.49624699354171753,
0.5397112965583801,
-0.4303993582725525,
0.01861585117... |
A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
One example is below.
Q: വനിതകളുടെ 53 കിലോഗ്രാം ഭാരോദ്വഹനത്തില് സ്വര്ണ്ണ മെഡല് നേടിയ കെ
A: 53 ਕਿਲੋਗ੍ਰਾਮ Women ਰਤਾਂ ਦੇ ਭਾਰ ਘਟਾਉਣ ਵਿੱਚ ਸੋਨੇ ਦੇ ਤਗਮੇ ... | ਕਾਨੂੰਨ ਮਾਮਲੇ ਦੇ ਵਿਭਾਗ ਦੇ ਸਕੱਤਰ, ਖਰਚ ਵਿਭਾਗ ਵੱਲੋਂ ਨਾਮਜ਼ਦ ਵਿੱਤੀ ਸਲਾਹਕਾਰ ਅਤੇ ਐੱਨਡੀਆਈਏਸੀ ਦੇ ਮੁੱਖ ਕਾਰਜਕਾਰੀ ਅਧਿਕਾਰੀ ਇਸਦੇ ਅਹੁਦੇ ਨਾਤੇ ਮੈਂਬਰ ਹੋਣਗੇ । | 9 | NIv2 | task1005_pib_translation_malayalam_punjabi | fs_opt | [
0.3320675492286682,
0.7277703881263733,
-0.713731050491333,
-0.7964084148406982,
0.006544862873852253,
-0.8653766512870789,
0.3703535199165344,
0.5278644561767578,
-0.4880094528198242,
0.15247058868408203,
-0.7261778116226196,
-0.3115265965461731,
-0.6489667892456055,
0.5265528559684753,
... |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
[Q]: ['353', 'd', 'h', 'd']
[A]: 3, 5
[Q]: ['431', '245', '23', 'c', '185', 'k', '155', '163', 'e', '35', 'r', '175', '163']
[A]: 1, 2, 3, 4, 5,... | 1, 3, 4, 6, 7, 9
| 5 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | fs_opt | [
-0.33808863162994385,
-0.15308082103729248,
-0.1911221146583557,
-0.8116321563720703,
-0.2704222798347473,
0.46522271633148193,
0.9910280704498291,
-0.11756428331136703,
-0.770811915397644,
0.14369001984596252,
-1.0953131914138794,
-0.2051078975200653,
-0.2492775022983551,
-0.0327351279556... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
One example:... | 1, 3 | 6 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
-0.03952135518193245,
0.3892422318458557,
-0.30634480714797974,
-0.43786177039146423,
0.3801781237125397,
-0.20555099844932556,
1.4783580303192139,
0.026200296357274055,
-0.21390056610107422,
0.1626974493265152,
-0.5273508429527283,
-0.2184363752603531,
0.4091237187385559,
-0.1888907700777... |
instruction:
This task is to translate a news commentary given in French language into Russian language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
question:
Ainsi, le 60ème anniversaire du bombar... | Эту сделку затем мог бы закрепить Совет безопасности ООН.
| 9 | NIv2 | task1377_newscomm_translation | fs_opt | [
0.504833459854126,
0.6360626220703125,
0.006190834566950798,
-0.2083939015865326,
-0.8193148374557495,
0.2754010260105133,
1.2170275449752808,
1.4804682731628418,
0.8196583390235901,
-0.13142725825309753,
-0.4424751400947571,
0.041502222418785095,
-0.3143967390060425,
0.6700762510299683,
... |
Instructions: A text is given in Bengali. Translate it from the Bengali language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: కేంద్ర ఆరోగ్య సేవల కు చెందిన బోధన, బోధనేతర, ఇంకా పబ్లిక్ హెల్త్ సబ్-కేడర్ లో జనరల్ డ్యూటీ మెడికల్ ఆఫీసర్లు, ఇంకా స్పెషల... | প্রসঙ্গত উল্লেখ্য, কেন্দ্রীয় স্বাস্থ্য পরিষেবার সঙ্গে যুক্ত সাধারণ কর্তব্যরত চিকিৎসক আধিকারিক, শিক্ষাদানের সঙ্গে যুক্ত বিশেষজ্ঞ চিকিৎসক এবং অন্যান্য সংশ্লিষ্ট কর্মীদের অবসর গ্রহণের বয়ঃসীমা ৬৫ বছরে উন্নীত করা হয় এ বছরের জানুয়ারি মাসে। | 3 | NIv2 | task1032_pib_translation_telugu_bengali | zs_opt | [
-0.1883060336112976,
0.23166018724441528,
-0.08346667885780334,
-0.11116527020931244,
0.2758397161960602,
-1.0781872272491455,
-0.42290008068084717,
0.4586859345436096,
-0.11673591285943985,
-0.12531353533267975,
-0.42644578218460083,
-0.7597212195396423,
-0.6149421334266663,
0.33901044726... |
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
Let me give you an example: മാനവികത ഒരുമിച്ചു ചേരുമ്പോള് അദ്ഭുതങ്ങള് സംഭവിക്കുന്നു എന്നാണിത് കാണിക്കുന്നത്
The answer to this example can be: इससे पता च... | आज लाल किले सेमैं जब देश को संबोधित कर रहा हूं, मैं यह गर्व के साथ कहता हूं कि आज हर हिन्दुस्तानी कह सकता है- ne Nation, ne onstitution और हम सरदार साहब का एक भारत-श्रेष्ठ भारत, इसी सपने को चरितार्थ करने में लगे हुए हैं। | 8 | NIv2 | task1018_pib_translation_malayalam_hindi | fs_opt | [
0.04155777022242546,
0.6312153339385986,
0.07620520144701004,
-0.501341700553894,
-0.21511207520961761,
-1.1007684469223022,
-0.11734911799430847,
0.15501469373703003,
-0.49289700388908386,
-0.00667678564786911,
-1.1955143213272095,
-0.20587687194347382,
-0.26568007469177246,
-0.0195889975... |
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 Portugese.
"تو می تونی ، داداش."
Output: | "Vá em frente, irmão." | 1 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.23773467540740967,
1.210261583328247,
0.2206254005432129,
-0.7041524648666382,
-0.3934440016746521,
0.412105530500412,
-0.1449749618768692,
1.258468508720398,
0.994624137878418,
0.4490939974784851,
-0.9058231115341187,
-0.19607630372047424,
0.13046042621135712,
-0.028221692889928818,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12',... | JWQ | 0 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
0.07244724035263062,
0.1012997031211853,
-0.5666427612304688,
-0.43824461102485657,
0.23181147873401642,
-0.026071056723594666,
0.48685288429260254,
0.1798591911792755,
-0.6492857933044434,
-0.03844407945871353,
-0.9533436298370361,
-0.279659628868103,
0.24216300249099731,
-0.2136309146881... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
--------
Question: ["" זוכה האוסקר על פעלולים חזותיים - (השנה הראשונה לקטגוריה זו) ""] [התפוצצות] ["" 2012 (2009) ""] המושל: נראה לי שהגרוע מכל מאחורינו.
Answer: ["" Óscar de Melhores Efeitos Especiais "" – (Primeiro Ano d... | O vermelho mais profundo que já vi na minha vida vive debaixo de água.
| 7 | NIv2 | task1114_ted_translation_he_pt | fs_opt | [
-1.4525349140167236,
0.42422589659690857,
0.7380015850067139,
-0.31103765964508057,
-0.5955431461334229,
0.5184507369995117,
-0.4042295217514038,
0.6867144107818604,
0.2067984938621521,
-0.17530493438243866,
-0.5181835889816284,
0.3099933862686157,
-0.2878115773200989,
0.11733879148960114,... |
In this task, you will be presented with a question having multiple possible answers in Vietnamese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Example Input: Question: Billy thông minh nhưng thiếu kinh nghiệm. Theo nhiều cách, anh ấy là... | B
| 3 | NIv2 | task1130_xcsr_vi_commonsense_mc_classification | fs_opt | [
0.4432407021522522,
-0.010883783921599388,
0.17859259247779846,
0.11101347208023071,
0.1592726707458496,
-0.6034163236618042,
0.740418553352356,
1.0840413570404053,
0.465410053730011,
-0.04868972301483154,
-0.45806851983070374,
0.5128657817840576,
0.6217225790023804,
-0.4243570566177368,
... |
You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
One example is below.
Q: System Reference: there is a chinese restaurant on x called x.
Original Reference: x is a c... | 0 | 9 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-0.3340063691139221,
1.0121846199035645,
-0.7668490409851074,
0.09698189049959183,
-0.26366475224494934,
-0.5893831253051758,
0.8475731611251831,
0.6238699555397034,
-0.037762366235256195,
-0.2905099391937256,
-0.28869980573654175,
-0.20931394398212433,
-0.11030758917331696,
-0.23336164653... |
Instructions: You are given a statement written in Kannada. 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 .
Input: Statement: ಇವರು ೧೬೬೭ ರಲ್ಲಿ ಸನ್ಯಾಸಿನಿಗಳ ಮಠವಾದ 'ಸೈಂಟ್ ಜೋಸೆಫ್ ಕೂಟ'ವನ್ನು ಸೇರಿದರು. ಆದರೆ ಅಲ್ಲಿ ಕಟ್ಟ... | ಕಾನ್ವೆಂಟ್ | 3 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | zs_opt | [
0.29274582862854004,
0.39090898633003235,
-0.6508411169052124,
0.1399775594472885,
-0.4586736559867859,
-0.9974032044410706,
0.2368839681148529,
0.2851204574108124,
0.08191968500614166,
-0.13639794290065765,
0.4012228846549988,
0.1356690526008606,
-0.36278417706489563,
-0.5877206325531006,... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Example input: شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند
Example output: אתם רואים שהפינגווין הזה ניגש ומסתכל על החוטים, הוא לא אוהב את החוט הזה.
Example explanat... | למחרת צפיתי שוב כשהמטריארכית שברה ענף ושמה אותו בפיה, ואז היא שברה עוד אחד והפילה אותו על הקרקע. | 3 | NIv2 | task1269_ted_translation_fa_he | fs_opt | [
-1.4844160079956055,
0.8703204393386841,
0.09789229184389114,
0.180917888879776,
-0.6684623956680298,
-0.5028620958328247,
0.6685900092124939,
0.20864003896713257,
-0.09445418417453766,
0.080128014087677,
-0.8112455606460571,
0.5142194032669067,
-0.7177889347076416,
0.4248846769332886,
0... |
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Example input: Who were the builders of the mosque in Herat with fire temples ?
Example output: Ghurids
Example explanation: This is a good example. Ghurids were... | temperate eucalypt forests | 3 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
-0.5905046463012695,
0.5822252035140991,
0.0662909597158432,
-0.699080228805542,
-0.885310173034668,
-1.0174812078475952,
0.5332688689231873,
-0.41349130868911743,
-0.12339097261428833,
0.17056387662887573,
0.15913739800453186,
0.0720260739326477,
-0.6620872616767883,
-0.3605567216873169,
... |
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
One example: [2, 5, 9, 6, 11]
Solution is here: [2, 5, 11]
Explanation: 6 an... | [26, -19, -1, 65] | 6 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
0.1644809991121292,
-0.125224769115448,
-0.23456436395645142,
-0.9106166958808899,
0.3070102035999298,
-0.2610641121864319,
1.3113173246383667,
0.10851441323757172,
-0.14608943462371826,
0.16530358791351318,
-0.8129783868789673,
-0.06066837161779404,
-0.5059983134269714,
-0.587521314620971... |
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Input: Conside... | Output: B
| 2 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
-0.4897766709327698,
0.029198940843343735,
0.013225896283984184,
-0.012785693630576134,
-0.14655834436416626,
0.1070568859577179,
0.3632171154022217,
0.5715118646621704,
0.2817433178424835,
-0.3473956286907196,
-0.5964027047157288,
0.33291226625442505,
0.18906688690185547,
0.01542500872164... |
Q: You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
CONTEXT: Administración
La ciudad de Montreal está administrada por el alcalde y el Consejo Municipa... | Los habitantes de la ciudad | 7 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
-0.08166243880987167,
1.051517128944397,
0.25551074743270874,
-0.2924620509147644,
0.6389736533164978,
-0.050825875252485275,
-0.11039227992296219,
0.6108446717262268,
0.32482612133026123,
0.3577125370502472,
0.07063688337802887,
0.36340075731277466,
-0.5518960952758789,
0.0906635969877243... |
This task is about translating a given English language sentence to Yoruba language.
[EX Q]: According to him, Senator Adeyemi polled a total of 88,373 votes to beat Senator Dino Melaye of the People’s Democratic Party (PDP) who scored 62,133 votes.
[EX A]: Gẹ́gẹ́ bí àbájáde ètò ìdìbò náà l se lọ, Ọ̀jọ̀gbọ́n Ọlajide ... | Ṣé ó tún yẹ kí n bẹ̀rù ẹnikẹ́ni?
| 6 | NIv2 | task1685_menyo20k_translation | fs_opt | [
0.4138602614402771,
0.17913638055324554,
-0.02437729574739933,
-0.2792550027370453,
0.15671540796756744,
-0.6399019956588745,
0.724849283695221,
-0.03552485257387161,
-0.06611870229244232,
-0.35190436244010925,
0.02535744197666645,
0.34955137968063354,
-0.5854620933532715,
0.03698826581239... |
Teacher:Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Teacher: Now, understand the problem? Solve this instance: Studies have shown that increased l... | 0 | 6 | NIv2 | task848_pubmedqa_classification | zs_opt | [
0.2080049216747284,
-0.5398142337799072,
-0.6979893445968628,
-0.5240280628204346,
0.7794266939163208,
-0.22092530131340027,
0.679039478302002,
0.9971216917037964,
-0.30694252252578735,
0.16443127393722534,
0.00439485814422369,
-0.0034296303056180477,
-0.3266217112541199,
-0.01085322163999... |
Detailed Instructions: 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.
Problem:Sentence1: Bailey was nervous about kindergarten, but mostly about taking a bus. Sentence2: After a great first day, Bailey proudly hopp... | Bailey, Home, Bailey's mother, Mom | 8 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
0.41031786799430847,
-0.00197957968339324,
0.08416645228862762,
-0.24312980473041534,
0.25641870498657227,
-0.23883792757987976,
0.6280544996261597,
0.5398232936859131,
0.43246766924858093,
0.0662108063697815,
-0.8646782040596008,
-0.39976295828819275,
-0.06729808449745178,
-0.226069346070... |
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.... | [949, -828] | 4 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-1.2736873626708984,
0.14644156396389008,
-0.1180945560336113,
-0.43956249952316284,
-0.4333052635192871,
0.1309092789888382,
1.0814112424850464,
-0.013419121503829956,
-0.741532027721405,
0.13512103259563446,
-0.5514048337936401,
0.011656831949949265,
-0.6633241176605225,
-0.1822211891412... |
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: two trains each 180 m in length are running on the same parallel lines in opposite directions with the speed of each 80 kmph . in what time will they cross each other c... | b | 4 | NIv2 | task1422_mathqa_physics | zs_opt | [
0.09217274934053421,
-0.09462940692901611,
-0.47018539905548096,
-0.6126255989074707,
-0.2553401291370392,
0.2125791311264038,
0.05525605008006096,
0.25409603118896484,
-0.16703841090202332,
-0.3126329481601715,
-0.9889572858810425,
-0.007047961466014385,
0.6319800019264221,
0.106414459645... |
Part 1. Definition
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Part 2. Example
when ... | 16 | 7 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
0.040395401418209076,
0.11458520591259003,
0.049437932670116425,
0.18458205461502075,
-0.4590306878089905,
-0.5218331813812256,
1.4008617401123047,
0.15450742840766907,
0.19621334969997406,
-0.4801195561885834,
-0.8830877542495728,
-0.3100583553314209,
-0.37864378094673157,
0.3428968787193... |
Q: Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences are roughly equivalent... | 3 | 7 | NIv2 | task1347_glue_sts-b_similarity_classification | zs_opt | [
-0.7695621848106384,
0.36340272426605225,
-0.037999678403139114,
-0.3393227159976959,
0.39056938886642456,
-0.6110430359840393,
1.059410810470581,
1.0814768075942993,
0.2805837094783783,
0.15299375355243683,
-0.8700327277183533,
-0.7227583527565002,
-0.4510732889175415,
0.15655843913555145... |
Translate from English to Hindi.
One example: Go to the employment office.
Solution is here: रोजगार कार्यालय जाओ.
Explanation: The translation is accurate.
Now, solve this: Bogs spent a week in the hole.
Solution: | बॉग्स ने एक सप्ताह छेद में बिताया. | 6 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
-0.5342726111412048,
0.36152467131614685,
-0.46305423974990845,
0.2198132872581482,
0.3149976134300232,
-0.8919272422790527,
-0.4013540744781494,
0.40879198908805847,
0.28144562244415283,
0.11546434462070465,
-0.353976845741272,
-0.16726171970367432,
0.6555643081665039,
0.2251477688550949,... |
Definition: 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. Remembe... | The photo could not be kept in the frame the _ is big for it. | 2 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.5971975922584534,
-0.029027272015810013,
0.03276742994785309,
-0.28138667345046997,
0.6801542639732361,
-0.7465997338294983,
0.9546132683753967,
1.1493144035339355,
-0.6186380386352539,
-0.3220635652542114,
-0.5129851698875427,
0.21263493597507477,
-0.33121389150619507,
0.157103776931762... |
Definition: In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and misce... | None | 2 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | zs_opt | [
-0.5066618919372559,
0.12504221498966217,
-0.07995347678661346,
-0.07846798002719879,
-0.59872967004776,
0.018546590581536293,
1.0649713277816772,
-0.1401270031929016,
0.4018263518810272,
-0.034375037997961044,
-0.9473458528518677,
0.2601909637451172,
-0.11158346384763718,
-0.0831606388092... |
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: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief abou... | green_pantry | 2 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
0.14148055016994476,
-0.5616803765296936,
-0.20639006793498993,
-0.43529099225997925,
-0.474012166261673,
-0.2538124918937683,
0.27483487129211426,
0.47465306520462036,
0.029483918100595474,
-0.5525562167167664,
-0.13225242495536804,
0.41325148940086365,
-0.019220802932977676,
0.4185255765... |
Detailed Instructions: In this task, you are given an input text which is in one of the 11 languages listed as follows: ['Oriya' 'Malayalam' 'Bengali' 'Gujarati' 'Hindi' 'English' 'Marathi'
'Panjabi' 'Tamil' 'Telugu' 'Urdu']. Identify the language of input text. The input text can be in one of the given languages only... | Tamil | 9 | NIv2 | task976_pib_indian_language_identification | zs_opt | [
-0.28531867265701294,
0.8771289587020874,
0.46540889143943787,
-0.6546462774276733,
-0.2511526346206665,
-1.152567744255066,
0.3806871473789215,
-0.18045470118522644,
0.08365297317504883,
-0.2091144472360611,
-0.42878907918930054,
-0.42784538865089417,
-0.020761266350746155,
-0.04352987557... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Let me give you an example: Isto inclúe un sistema en árabe chamado al-jebra.
The answer to this example can be: Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Here is why: The Galician sentence is c... | Ora usiamo il potere dei dati e prendiamo ogni momento in cui mio figlio ha sentito la parola "" acqua "" e il contesto in cui l'ha sentita usare, e li usiamo per penetrare attraverso il video e trovare ogni traccia di attività che si presentava assieme alla richiesta di acqua. | 8 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.1731531172990799,
1.3075932264328003,
-0.815278172492981,
0.0024101142771542072,
-0.5579618215560913,
-0.8461878895759583,
0.8412672281265259,
0.8883151412010193,
-1.1157135963439941,
0.19525477290153503,
-0.010140960104763508,
-0.44628846645355225,
-0.8947412967681885,
0.26238453388214... |
Instructions: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Input: what is the language spoken in the film Hello I Must Be Going?
Output: | English | 3 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.053718045353889465,
0.4614199995994568,
-0.012071983888745308,
0.895804762840271,
-0.42208874225616455,
-0.07457408308982849,
-0.17953944206237793,
-0.1803213357925415,
-0.15668484568595886,
-0.5719653367996216,
-0.3665641248226166,
-0.8060433864593506,
-0.13658440113067627,
0.244698196... |
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.
Q: This woman made me feel miserable.
A: sadness
****
Q: Roger feels discou... | anger
****
| 4 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.4616943299770355,
0.2658253312110901,
0.49459588527679443,
-0.9173144102096558,
-0.15737557411193848,
-0.33907532691955566,
1.0001951456069946,
0.8014793992042542,
0.4009040594100952,
-0.7712240219116211,
-0.7035801410675049,
-0.5676663517951965,
-0.3276979923248291,
-0.1153562664985656... |
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Let me give you an example: Alterations of the architecture of cerebral white matter in the developing human brain can affect cortical development and result in functional disab... | Monitoring starvation-induced reactive oxygen species formation. | 8 | NIv2 | task1586_scifact_title_generation | fs_opt | [
0.9816365838050842,
0.1694519817829132,
-0.3791995644569397,
0.15019860863685608,
0.23256558179855347,
-0.20476241409778595,
0.7584265470504761,
1.12189519405365,
0.41862815618515015,
0.7599172592163086,
-0.21364963054656982,
-0.009775330312550068,
-0.23052173852920532,
0.47915390133857727... |
Q: 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 ... | Wenn Sie Kunst erhalten wollen, dann sollten Sie eine Klasse untersuchen. | 7 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.737229585647583,
0.6085879802703857,
0.3110541105270386,
-0.14713123440742493,
0.3336716592311859,
-0.07117458432912827,
0.7303529381752014,
1.004978895187378,
-0.01586068421602249,
-0.39918673038482666,
-0.045467253774404526,
0.10686549544334412,
-0.831985592842102,
-0.2400213032960891... |
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're given reviews from Amazon's products. Your task is to generate the Summary of the review.
My cat won't touch these. My dog, however, chews them and makes a mess all over the car... | The person in shipping needs glasses to understanding the meaning of (2) | 0 | NIv2 | task618_amazonreview_summary_text_generation | fs_opt | [
-0.4343186020851135,
0.19091129302978516,
-0.15225842595100403,
-0.1402066946029663,
0.444246381521225,
-0.12667477130889893,
0.04404072090983391,
0.5457726716995239,
-0.3713681399822235,
0.1339704990386963,
0.4275161027908325,
0.32185524702072144,
-0.514804482460022,
-0.23163272440433502,... |
You are given a question title. You need to classify it into one of the 10 topics: 0 - 'Society & Culture', 1 - 'Science & Mathematics', 2 - 'Health', 3 - 'Education & Reference', 4 - 'Computers & Internet', 5 - 'Sports', 6 - 'Business & Finance', 7 - 'Entertainment & Music', 8 - 'Family & Relationships', 9 - 'Politics... | 4 | 0 | NIv2 | task1592_yahoo_answers_topics_classfication | zs_opt | [
-0.3317890167236328,
0.5097967386245728,
0.10676607489585876,
-0.3204948306083679,
0.0621022954583168,
-0.1994369924068451,
-0.35408613085746765,
-0.24898886680603027,
0.10801255702972412,
-0.35632145404815674,
0.09487129747867584,
0.18604573607444763,
-0.5410012006759644,
-0.7851552963256... |
Teacher:In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
Teacher: Now, understand the p... | Editor | 6 | NIv2 | task342_winomt_classification_profession_pro | zs_opt | [
-1.5549423694610596,
0.5191008448600769,
-0.012264248915016651,
-0.9771496653556824,
0.3015889525413513,
-0.6685565114021301,
-0.019146637991070747,
0.7109119892120361,
0.7036117315292358,
-0.15791545808315277,
-0.8954687118530273,
-0.23999455571174622,
-0.5802046060562134,
-0.086238473653... |
Given the task definition and input, reply with output. In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
و سخن آنان جز این نبود که گفتند: «پروردگارا، گناهان ما و زیادهروى ما، در کارمان را بر ما ببخش، و گامهاى ما را استوار دار، و ما را بر گروه کافران یارى... | Nor did they say aught but: "O our Lord, forgive us our sins and excesses in our acts, and steady our steps, and help us against unbelieving people." | 5 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.23111332952976227,
1.1829805374145508,
0.07171852886676788,
-0.6909540295600891,
-0.8148195743560791,
-0.09042976796627045,
0.3445042669773102,
0.33034661412239075,
0.4009581506252289,
-0.4056972563266754,
-0.956554114818573,
0.7176291942596436,
-0.6530271768569946,
0.008233617059886456... |
In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
III Lights raced across the window.
Plural
Part of me wants RPI and the other part of me wants to go to school with Dana. "
Singular
Un... | Singular
| 0 | NIv2 | task430_senteval_subject_count | fs_opt | [
-1.5650949478149414,
0.896283745765686,
0.5372836589813232,
-0.4201416075229645,
-0.7780012488365173,
0.6728403568267822,
0.768496572971344,
0.36870214343070984,
0.18111097812652588,
-0.2273654043674469,
-0.537617564201355,
0.31390899419784546,
-0.8248310089111328,
-0.1212095320224762,
0... |
Definition: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Input: Context: Addison had to study all night and he started an hour ago.
Answer: get a snack to help him study well
Outp... | What will Addison want to do next? | 2 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
0.3597605228424072,
0.7288705706596375,
0.32432928681373596,
-0.6575496196746826,
-0.22205540537834167,
0.12326649576425552,
-0.39302998781204224,
0.3759649395942688,
0.7360711693763733,
-0.5094879269599915,
-0.6058842539787292,
-0.15746580064296722,
-0.9185067415237427,
0.0966453105211258... |
Detailed Instructions: This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a senten... | Wichita Falls, Texas | 9 | NIv2 | task1413_dart_object_identification | zs_opt | [
0.07557180523872375,
0.6376127004623413,
-0.24036455154418945,
0.08681880682706833,
-0.04656406119465828,
-0.5092865228652954,
0.977031946182251,
0.6739112138748169,
0.47219014167785645,
-0.35095369815826416,
-1.094298243522644,
-0.2855376899242401,
-0.3092633783817291,
0.41880881786346436... |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Where did, no wait, What did Newton's mechanics affect? | What did Newton's mechanics affect? | 0 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
0.2644187808036804,
1.3526010513305664,
0.03745238482952118,
-0.45963364839553833,
-0.3475185036659241,
0.07977442443370819,
-0.30114996433258057,
0.9110652208328247,
0.7717599868774414,
-0.3083342909812927,
-0.14014984667301178,
-0.4975789189338684,
-1.1373757123947144,
-0.068386614322662... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Let me give you an example: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה.
The answer to this example can be: Pregunteille: "" É coma un soño? "" E dixo: ... | E miras a Lenny e está a sufrir. | 8 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.8217433094978333,
0.9124771356582642,
0.5033185482025146,
-0.6809549331665039,
-0.307239830493927,
-0.4775997996330261,
0.8125239014625549,
-0.1636851727962494,
-0.47983622550964355,
-0.6702125668525696,
-0.14494897425174713,
0.2911360263824463,
-0.7614681720733643,
-0.02441629581153392... |
Q: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Sentence ... | C | 7 | NIv2 | task190_snli_classification | zs_opt | [
-0.5972213745117188,
0.10209481418132782,
-0.024436943233013153,
-0.2308434545993805,
0.3101329803466797,
-1.3229279518127441,
0.0839109867811203,
0.3867312967777252,
0.6659355163574219,
0.525812566280365,
0.1044289767742157,
-0.6233839392662048,
-0.45435142517089844,
-0.406240850687027,
... |
Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.
Q:... | Juul Labs facing scrutiny from federal and state officials. | 4 | NIv2 | task1368_healthfact_sentence_generation | zs_opt | [
-0.1368390917778015,
0.47979792952537537,
0.1624603420495987,
-0.9261956810951233,
0.13622911274433136,
0.006955161690711975,
0.3533669710159302,
1.4060678482055664,
-0.7046812772750854,
0.5500304102897644,
-0.047810450196266174,
0.12976478040218353,
-0.8849049806594849,
0.1546119004487991... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video... | other | 1 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
-0.257662296295166,
0.027012797072529793,
-0.6460004448890686,
0.5101077556610107,
0.5844162702560425,
0.17275066673755646,
0.47804197669029236,
0.9485453963279724,
-0.20485253632068634,
0.5604780912399292,
0.353313148021698,
0.5064712762832642,
-0.08903901278972626,
-0.37618839740753174,
... |
A text is given in English. Translate it from the English language to the Telugu language. The translation must not omit or add information to the original sentence.
Ex Input:
శ్రీ ఎ.
Ex Output:
Shri A. N.
Ex Input:
చట్టంలో మార్పునకు కొత్త నిర్వచనం ఉంటుంది. అందులో.
Ex Output:
"Actual Project Cost" would be repl... | "I will be visiting Sweden and the United Kingdom for bilateral meetings and for the India-Nordic Summit and the Commonwealth Heads of Government Meeting during 17-20 April 2018.
| 1 | NIv2 | task1048_pib_translation_telugu_english | fs_opt | [
0.1358736902475357,
-0.22607427835464478,
0.3026173710823059,
0.5349738597869873,
0.1978556215763092,
-0.923599123954773,
-0.3503478765487671,
0.6837784051895142,
0.2749076187610626,
0.26827532052993774,
0.12596334517002106,
-0.16739332675933838,
-0.3799660801887512,
-0.22219987213611603,
... |
In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Q: This case is not unique and it brings to our notice once more that profit-orientated organisations are constantly evading current animal protection provisions in Europe in a cri... | Състав на междупарламентарните делегации: вж. протоколи
****
| 4 | NIv2 | task272_europarl_translation | fs_opt | [
-0.4581858515739441,
0.3556591272354126,
0.03336188197135925,
0.1299317181110382,
-0.8653088808059692,
-0.31139495968818665,
0.4682167172431946,
0.23792818188667297,
0.15560707449913025,
0.0501658171415329,
-0.48766642808914185,
0.7909901142120361,
-1.0805153846740723,
0.23248235881328583,... |
Definition: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Input: Anche fuori da Haiti, tutto sembrava diverso.
Output: | Fuera de Haití también las cosas se veían diferentes. | 2 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
0.2518562972545624,
0.8637049794197083,
-0.7924195528030396,
0.005713730119168758,
0.171995609998703,
-1.2857074737548828,
-0.6513365507125854,
1.3682067394256592,
0.37247925996780396,
-0.337087482213974,
-0.443778395652771,
-0.15926334261894226,
-0.47032609581947327,
0.16056029498577118,
... |
In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follo... | user | 4 | NIv2 | task1599_smcalflow_classification | zs_opt | [
-0.339474081993103,
0.6589257121086121,
-0.14174243807792664,
-0.1158071905374527,
-0.024201948195695877,
-0.21798177063465118,
0.29523372650146484,
-0.10342144221067429,
0.3888360857963562,
0.2814825773239136,
-0.30915844440460205,
-0.03480212762951851,
-0.5762701034545898,
0.226791813969... |
instruction:
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
question:
Comment: Majesctic Loucks!
answer:
Non-sexual-e... | Non-sexual-explicit
| 9 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.8238800764083862,
0.09972894191741943,
-0.0021949256770312786,
0.2019374668598175,
0.005036327056586742,
-0.18712955713272095,
0.6889361143112183,
0.797815203666687,
0.3119375705718994,
0.18237516283988953,
0.4791673421859741,
0.6722365617752075,
-0.4578281044960022,
-0.9270274639129639... |
Detailed Instructions: 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 o... | X | 9 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.42357033491134644,
0.22871485352516174,
-0.23730731010437012,
0.20004360377788544,
-0.04902442544698715,
-0.8524816632270813,
0.7096436023712158,
0.6178568005561829,
-0.24309910833835602,
-0.052983347326517105,
-0.5795489549636841,
0.3284938335418701,
-0.5632453560829163,
0.2435000836849... |
In this task, you are given product reviews about dvds. The goal is to classify the review as "POS" if the overall sentiment of the review is positive(the reviewer is satisfied) or as "NEG" if the overall sentiment of the review is negative(the reviewer is not satisfied).
--------
Question: It was what I expected . I p... | POS
| 7 | NIv2 | task477_cls_english_dvd_classification | fs_opt | [
0.2543565332889557,
-0.3997197449207306,
-0.7218759059906006,
-0.2096329629421234,
0.4846283495426178,
-0.5935734510421753,
1.2569609880447388,
0.5867933630943298,
0.03763941302895546,
0.05703212320804596,
0.1818343997001648,
-0.21839898824691772,
-0.8807855844497681,
0.12347324192523956,
... |
Detailed Instructions: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
See one example below:
Problem: Alterations of the architecture of cerebral white matter in the developing human brain can affect cortical development and ... | A Pharmacological Map of the PI3-K Family Defines a Role for p110α in Insulin Signaling | 4 | NIv2 | task1586_scifact_title_generation | fs_opt | [
1.0754640102386475,
0.5201001167297363,
-0.23385131359100342,
-0.2115735113620758,
0.26549068093299866,
-0.10600915551185608,
0.3631882667541504,
0.8057656288146973,
0.697036623954773,
0.8739001750946045,
-0.5288703441619873,
0.22372178733348846,
-0.4437045454978943,
0.15141591429710388,
... |
instruction:
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
question:
El otro título que hemos puesto en marcha se llama "" Secret Paths in the Forest "" que aborda la fantasía más orientada hacia la vida interior de las niñas.
answer:
הכותר השני שהשקנו נקרא "" שבילים סו... | ורק עם זכוכית מגדלת, הוא שכתב את כל הטקסט שהוא יכל.
| 9 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-1.0565582513809204,
0.5642732381820679,
-0.05524912476539612,
-0.04011575132608414,
-0.6804358959197998,
0.07505246996879578,
0.5938418507575989,
-0.3978663980960846,
0.21034583449363708,
-0.47738999128341675,
-0.6816481351852417,
0.15303632616996765,
-1.1335097551345825,
0.24292862415313... |
Detailed Instructions: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
... | select the rows whose area km square record is less than 100000 . select the row whose population record of these rows is 1st maximum . the member countries record of this row is denmark . | 8 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.20721915364265442,
0.19242814183235168,
-0.1713477075099945,
-0.014679346233606339,
0.08335653692483902,
-0.29929351806640625,
0.39408552646636963,
0.29671043157577515,
-0.19173946976661682,
-0.13245180249214172,
-0.7441117763519287,
0.01568305492401123,
-0.0949050784111023,
0.6151776909... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
But having an I.P. address means that it can be connected to any other data that has an I.P. address.
אבל כשיש כתובת IP אומר שהוא יכול להיות מחובר לכל מידע אחר שיש לו כתובת IP.
They're even building machines, weapons, that... | והואיל והטלוויזיה אולי ספגה מכות, מה שנבנה עתה הוא צורה חדשה ובאמת מרגשת של תקשורת, ויש לנו סוג של מיזוג של שתי התעשיות ודרך חדשה לחשוב ולהביט בזה.
| 0 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
0.13943086564540863,
0.20719973742961884,
0.12595674395561218,
0.5498430728912354,
-0.03961626812815666,
-0.5026844143867493,
0.5144920349121094,
0.038679927587509155,
0.46328723430633545,
0.16516979038715363,
-0.2184859961271286,
0.20708319544792175,
-0.9540787935256958,
-0.38788017630577... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Category: AQUATIC LIFE
Clue: A fish called the feather blenny lays its eggs in this mollusk'... | oysters | 0 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.5193691253662109,
0.5181379318237305,
-0.43779563903808594,
-0.340104877948761,
-0.43338140845298767,
-0.21778684854507446,
0.30599114298820496,
-0.19342632591724396,
-0.371898889541626,
-0.29989826679229736,
-0.04418770596385002,
0.18832378089427948,
-1.0299896001815796,
0.602794945240... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Person1: Kelly , the guys and I think you should run for senior c... | 0 | 0 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
-0.3865598738193512,
0.347659707069397,
0.44117212295532227,
-0.28451645374298096,
-0.0051946984604001045,
-0.269504189491272,
0.6037560105323792,
0.35970860719680786,
0.10483062267303467,
0.13394559919834137,
0.08817446231842041,
-0.3523399531841278,
-0.337273508310318,
-0.019729394465684... |
Detailed Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Problem:6, ['i', '1951', '4095', '5407', '7863', '1523', 't', '7805', '7693', '9351', 'v', 'o... | t, 7805, 7693, 9351, v, o, F, p, 381, 7245, 1839, I | 8 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
0.29173555970191956,
0.15589627623558044,
-0.34091854095458984,
-0.3885345458984375,
-0.6841531991958618,
0.0476386621594429,
0.5949676036834717,
-0.11303417384624481,
0.2594885230064392,
-0.4629899561405182,
-1.0571691989898682,
-0.4052014946937561,
0.04488751292228699,
-0.028210809454321... |
Teacher: 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 to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Teacher: Now, understand the problem? If you are s... | Then he got a $4 raise at his job! | 2 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
-0.18249164521694183,
0.46684741973876953,
0.40309274196624756,
-0.4537413716316223,
0.3304792046546936,
-0.08448699116706848,
-0.08748942613601685,
0.5208311676979065,
0.14331205189228058,
0.3047668933868408,
-0.4378792345523834,
-0.25385645031929016,
-0.6126987338066101,
-0.3059345781803... |
Given the task definition and input, reply with output. 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 y... | Her parents wait in a long line at the toy store >Causes/Enables> Her parents get a doll | 5 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
-0.4905346632003784,
0.6303152441978455,
0.15316902101039886,
0.18864993751049042,
-0.4830286502838135,
-0.20492303371429443,
0.06886166334152222,
1.3872789144515991,
0.08401566743850708,
-0.0007177256047725677,
-0.1274762898683548,
0.5661595463752747,
-0.017462437972426414,
-0.33266991376... |
Given the task definition and input, reply with output. In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectiv... | (5, 6) | 5 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.3692241311073303,
0.6570929884910583,
0.143697589635849,
-0.3602786958217621,
-0.07988090813159943,
-0.1701829433441162,
0.10336852073669434,
0.3084794878959656,
0.19289271533489227,
-0.12198080867528915,
-0.4685767889022827,
-0.24055737257003784,
0.04209582880139351,
0.1138733103871345... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Av... | a dog is outside. | 4 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
-0.07654374837875366,
0.5341695547103882,
0.5355069637298584,
-0.3509597182273865,
0.4317606985569,
-0.8662632703781128,
-0.601178765296936,
0.8228279948234558,
0.034653715789318085,
-0.3099273443222046,
-0.9638657569885254,
-0.7309103608131409,
-0.6449486613273621,
-0.5171582698822021,
... |
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
| 7 | NIv2 | task1207_atomic_classification_atlocation | fs_opt | [
0.16542944312095642,
0.04619310051202774,
0.23266646265983582,
-0.12103922665119171,
-0.8045656085014343,
-0.7610809803009033,
1.0804009437561035,
0.5070075988769531,
-0.4625786542892456,
-0.48072558641433716,
-0.8762476444244385,
-0.39727216958999634,
-0.6406879425048828,
0.53361469507217... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
One example: I heard enough of what she said to you last night to understand her unwillingness to be acting with a stranger;
Solution is here: دیشب شنیدم به تو چه میگفت. فهمیدم که دوست ندارد با یک غریبه این نقش را بازی کن... | به ماهی فروش نگاه کردو گفت | 6 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
-0.1339501142501831,
0.7692108750343323,
-0.9109246730804443,
0.21433255076408386,
-0.42384177446365356,
-0.4431988596916199,
1.4755643606185913,
0.05748128518462181,
0.03184156492352486,
-0.1405831277370453,
-0.16594725847244263,
0.23816567659378052,
-0.2778240442276001,
-0.20441581308841... |
Detailed 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 "HYPO... | yes | 9 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
0.08828651160001755,
0.46703338623046875,
0.21530479192733765,
0.3242528438568115,
0.3092738389968872,
-0.5824474096298218,
0.22714172303676605,
1.785003662109375,
0.018561430275440216,
-0.21235626935958862,
0.30666041374206543,
0.7740762233734131,
-0.2733611762523651,
-0.33337339758872986... |
Q: Find the movie name from the given conversation. If the movie name is not found give output as "unknown"
ASSISTANT: Tell me what kind of movies you dislike? , USER: I don't really like romantic movies. , ASSISTANT: why's that? , USER: I find them boring and uninteresting, most likely because I don't just don't enjoy... | the new Spider-Man movie | 7 | NIv2 | task926_coached_conv_pref_word_generation | zs_opt | [
-0.5181378126144409,
0.8133425712585449,
-0.22071239352226257,
-0.26605457067489624,
-0.40079230070114136,
-0.03403140604496002,
0.7046958208084106,
-0.0907011404633522,
0.1486048698425293,
-0.41468846797943115,
-0.214432030916214,
-0.7155297994613647,
-0.852141261100769,
-0.31466734409332... |
Instructions: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Input: It's not going to be easy, but it is going to be worth it.
Output: | זה לא יהיה קל, אבל זה יהיה שווה את זה. | 3 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
0.051139794290065765,
0.750815212726593,
-0.0009466549381613731,
0.2641391158103943,
-0.19298362731933594,
-0.4182744026184082,
0.41467368602752686,
0.45083189010620117,
0.6467399597167969,
-0.2576342225074768,
0.013715074397623539,
-0.11012844741344452,
-0.5943630933761597,
0.107407659292... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
سباستینا بارائز (@SebastianaB) نیز گزارش داده: | Sebastiana Barráez (@SebastianaB) also reported: | 0 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-0.46130120754241943,
0.817500114440918,
-0.17677812278270721,
-0.49718087911605835,
-0.19487792253494263,
-0.30472055077552795,
0.6454606056213379,
0.10414260625839233,
0.7621728181838989,
-0.2718322277069092,
-0.2187749147415161,
0.4172412157058716,
-0.1661326140165329,
0.238938286900520... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | Sentence 1: PersonX had a much easier time when riding horses than PersonY, because _ had extensive lessons as a child.
Sentence 2: PersonX had a much easier time when riding horses than PersonY, because _ had very few lessons as a child. | 3 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.5114923715591431,
0.2913510799407959,
0.08504390716552734,
-0.12630103528499603,
0.26484987139701843,
-0.38696569204330444,
0.6939246654510498,
1.0294417142868042,
0.05416960269212723,
-0.653617262840271,
-0.8467084169387817,
-0.19570991396903992,
-0.3425791263580322,
0.09945841878652573... |
Detailed Instructions: In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative ef... | against | 9 | NIv2 | task1727_wiqa_what_is_the_effect | zs_opt | [
-0.21711128950119019,
0.6087000370025635,
-0.49882271885871887,
-0.4449503421783447,
-0.29701387882232666,
-1.4774036407470703,
0.47381895780563354,
0.8686443567276001,
0.07762617617845535,
0.5751920938491821,
-0.19973307847976685,
0.40716353058815,
-1.0163888931274414,
0.41771456599235535... |
TASK DEFINITION: Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
PROBLEM: I’m Asian Indian and I agree.
SOLUTION: Not Hope Speech
PROBLEM: There's more black pp... | Not Hope Speech
| 8 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
0.47741931676864624,
-0.3052457273006439,
0.38029706478118896,
-0.11887428164482117,
-0.6230936050415039,
-0.8502562046051025,
0.36778154969215393,
0.7415229082107544,
0.0009183100191876292,
0.10354335606098175,
-0.5344735383987427,
-0.07460283488035202,
-0.059096962213516235,
0.0468976721... |
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