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: You are given a sentence in English. Your job is to translate the English sentence into Persian.
Problem:They're hugely dedicated to the institutions that they work for, and the reason that they speak up, the reason they insist on seeing, is because they care so much about the institution and wan... | آنها به شدت به موسسه ای که در آن کار می کنند وفادار و متعهدند ، و به همین دلیل افشاگری می کنند ، و دلیل اینکه آنها اصرار دارند که موضوعات را ببینید ، این است که آنها برای موسسه ای که کار میکنند بسیار اهمیت قائل هستند و می خواهند این موسسه سالم باقی بماند. | 8 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-0.11844673752784729,
0.6743550300598145,
-0.12841172516345978,
-0.07868264615535736,
-0.4588889479637146,
-0.7995455265045166,
-0.08619247376918793,
0.23416689038276672,
0.5676754713058472,
0.06772613525390625,
0.25841057300567627,
0.02711237408220768,
-0.18569031357765198,
0.437322735786... |
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Q: It appears that the coffee is not very consistent with the flavor. My first experience with this coffee was a... | Varied reviews, bad coffee | 4 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
-0.11693139374256134,
-0.063350148499012,
0.5731167793273926,
-0.8578551411628723,
0.37251222133636475,
-0.5100786089897156,
0.41586047410964966,
0.5372869968414307,
-0.2820444405078888,
0.5854361057281494,
0.26929301023483276,
-0.37606287002563477,
-0.580525815486908,
0.33612221479415894,... |
Given the task definition and input, reply with output. In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are sepera... | Not paraphrase | 5 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.9380224943161011,
1.4870389699935913,
-0.09264565259218216,
0.1715528666973114,
-0.4358196258544922,
-0.5282502174377441,
0.4475821852684021,
0.4674077033996582,
0.36918574571609497,
-0.16475974023342133,
-0.9122726321220398,
0.33944007754325867,
-0.3626468777656555,
0.09028732031583786... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to deter... | Yes | 8 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.50276118516922,
-0.22760836780071259,
0.5746227502822876,
-0.03041185811161995,
-0.0736907422542572,
-0.9851251244544983,
0.959270715713501,
0.8394293785095215,
-0.8399907350540161,
0.059494249522686005,
-0.38101527094841003,
-0.12170612812042236,
-0.8658283352851868,
-0.2796677649021148... |
Given the task definition and input, reply with output. 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). Person... | Yes | 5 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
-0.16646328568458557,
0.2971348762512207,
0.30548685789108276,
0.15622279047966003,
-0.42469266057014465,
-0.4400091767311096,
0.9186179041862488,
0.6754181385040283,
-0.3931141495704651,
0.10499176383018494,
-0.4374190866947174,
-0.16516715288162231,
-0.5227193832397461,
0.184268072247505... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Ex Input:
que las ganancias se incrementan a un nivel mayor dandonos un margen saludables mientras damos atención gratuita a un gran numero de personas
Ex Output:
הפדיון גדל ברמה גבוהה יותר והדבר נתן לנו שוליים בריאים תוך ... | מעולם לא חשבתי על DNA כמשהו יפה לפני כן, לפני שראיתי אותו בצורה הזו.
| 1 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-1.4285669326782227,
0.04849190264940262,
-0.3885082006454468,
0.18377862870693207,
-0.7142395973205566,
-0.2325647473335266,
0.4633415937423706,
0.38275575637817383,
0.08460357785224915,
-0.4147731363773346,
-0.6634387373924255,
0.5870239734649658,
-1.4230194091796875,
0.04980451613664627... |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justificati... | mountainous
| 1 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.31860730051994324,
0.3447880148887634,
-0.48750537633895874,
0.08596698194742203,
0.6069197654724121,
-0.9146804809570312,
0.7302687764167786,
0.8570107817649841,
-0.09091413766145706,
0.13427281379699707,
0.007861336693167686,
0.5342161655426025,
-1.1501878499984741,
0.25698021054267883... |
You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the inp... | i dont know i am looking for medicines that can be used to treat fybromyalgia im not sure if im experiencing a flare up
| 5 | NIv2 | task1714_convai3_sentence_generation | fs_opt | [
0.27913719415664673,
-0.10580182075500488,
-0.5775758028030396,
-0.1827179193496704,
0.3953803777694702,
-0.43338343501091003,
0.36937981843948364,
0.6679016351699829,
0.6279590129852295,
0.5024616718292236,
-0.07271801680326462,
-0.27902549505233765,
-0.10569161176681519,
-0.0844078585505... |
Q: In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
We therefore await, and I await, the European Commissi... | English | 7 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.3085581064224243,
0.80809485912323,
0.686720073223114,
-0.045912548899650574,
0.49512892961502075,
-0.666191816329956,
0.27444136142730713,
0.6807847619056702,
0.6223731637001038,
0.10235511511564255,
0.06667023152112961,
0.3238484263420105,
0.14131122827529907,
-0.5469741821289062,
-... |
Teacher: In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Teacher: Now, understand the problem? If you are still confused, see the ... | English | 2 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
0.2071080356836319,
0.3137879967689514,
1.1791229248046875,
-0.3503836989402771,
0.21895729005336761,
-1.1799927949905396,
-0.037916287779808044,
1.1846325397491455,
0.5700517892837524,
-0.31376123428344727,
-0.12029013782739639,
0.041960496455430984,
0.010204635560512543,
-0.9190489053726... |
You will be given a definition of a task first, then some input of the task.
Given a text, write a compressed version of it in a single sentence.
The papers all note that upon his victory, Kim pledged to implement the IMF-crafted economic bailout that was already agreed to by the current government.
Output: | The papers, Kim pledged to implement the IMF-crafted economic bailout. | 1 | NIv2 | task1340_msr_text_compression_compression | zs_opt | [
0.1222410798072815,
0.7980867624282837,
-0.2142048478126526,
-0.9330133199691772,
0.04838711768388748,
0.045439839363098145,
0.3184020519256592,
0.5020745992660522,
-0.1588069051504135,
0.30694445967674255,
-0.7984325289726257,
-0.22647958993911743,
0.047358911484479904,
0.4437152445316314... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Problem:Umożliwi nam obserwację pierwszego światła wyemitowanego we wszechświecie. Narodziny kosmosu.
Solution: | Vainos permitir mirar cara a atrás e ver a primeira luz do universo — literalmente, o alborecer do cosmos. | 8 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-0.4796923100948334,
1.5240398645401,
0.26976755261421204,
-0.7532846927642822,
-0.3391878604888916,
-0.8677054643630981,
0.3481024503707886,
0.18287333846092224,
-0.2460072636604309,
-0.14079219102859497,
-0.34151002764701843,
-0.01675676554441452,
-0.6203688383102417,
0.6004977226257324,... |
You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous.
... | Output: fear
| 2 | NIv2 | task1663_cedr_ru_incorrect_classification | fs_opt | [
-0.17514270544052124,
0.4230365753173828,
-0.0694754496216774,
-0.44700318574905396,
-0.6637530326843262,
-0.3553175926208496,
0.4675520658493042,
1.2929445505142212,
0.19979150593280792,
-0.13193148374557495,
-0.7156425714492798,
0.18789741396903992,
-0.43646711111068726,
0.20109862089157... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
______,Bring to a boil, immediately reduce the heat to a slow simmer, and skim... | Wash the chicken thoroughly with cold water, place in an 8-quart or larger stockpot, and add the onion, celery, carrots, garlic, and cold water. | 1 | NIv2 | task572_recipe_nlg_text_generation | zs_opt | [
0.1900816261768341,
-0.03808882087469101,
-0.34426113963127136,
0.142969012260437,
0.3001520037651062,
-0.4324679970741272,
0.777106523513794,
1.0071370601654053,
-0.265813946723938,
-0.06996351480484009,
0.3397660255432129,
-0.5338380336761475,
-0.8908754587173462,
0.5818476676940918,
0... |
Q: In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the p... | b | 7 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
0.6613741517066956,
0.2397758513689041,
-0.09904199838638306,
-0.19706612825393677,
0.5955851078033447,
0.1302696019411087,
0.03792406618595123,
1.016729474067688,
-0.4740093946456909,
-0.32290178537368774,
-0.7785921096801758,
0.9797292947769165,
-0.9785995483398438,
0.44712257385253906,
... |
Detailed Instructions: Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: Nagbigay ng puna sa batas ang Senate Democratic majority leader Harry Reid, nagsasabing, "Sa panahon nang ang 2 milyong ... | 民主党上院の多数派院内代表のハリー・リードは法案についてこう語った「2百万の男女がイラクとアフガニスタンで戦い、軍が複雑な配置や不明瞭な戦略に耐えているとき、私たちには未来の経済の発展の機会を彼らに与えることしかできない」。 | 9 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-0.5007753968238831,
-0.1493295431137085,
-0.11066251248121262,
-0.9732529520988464,
-0.4711695909500122,
-1.079115629196167,
0.6333050727844238,
0.4475865960121155,
0.22422799468040466,
0.16380298137664795,
-0.9178875684738159,
0.026408765465021133,
-1.077120065689087,
0.39626577496528625... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the tex... | Li | 1 | NIv2 | task339_record_answer_generation | zs_opt | [
0.39654165506362915,
0.21935823559761047,
-0.2114529013633728,
-0.44241392612457275,
-0.18929851055145264,
0.617487907409668,
0.2684602737426758,
0.6630173921585083,
0.25751277804374695,
0.11718081682920456,
-0.4068262577056885,
0.004127986263483763,
-0.11086443066596985,
-0.17451176047325... |
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].
Q: Verify if the sentiment of the following document towards the entity Porter is Neutral . The probe comes... | yes | 4 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-0.9634249210357666,
-0.1360369324684143,
0.23966874182224274,
0.14952412247657776,
-0.14388638734817505,
-1.3535257577896118,
0.383287250995636,
0.3126460313796997,
0.8011307716369629,
0.2825595438480377,
0.584984302520752,
-0.15329042077064514,
-0.2999446988105774,
-0.46394073963165283,
... |
Given the task definition and input, reply with output. Translate from English to Hindi.
Danny's gone away, Mrs. Torrance.
| डैनी दूर चला गया है, श्रीमती टॉरंस. | 5 | NIv2 | task1329_open_subtitles_en_hi_translation | zs_opt | [
-0.19980186223983765,
0.8913713693618774,
-0.46478599309921265,
-0.3766387701034546,
-0.21121306717395782,
-0.2318749725818634,
-0.4780017137527466,
-0.35668256878852844,
0.10166595876216888,
0.06699581444263458,
-0.25628662109375,
0.4999869763851166,
-0.31212159991264343,
0.15288472175598... |
Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
Q: The site collects your unspecified information for analytics or research. Collectio... | Unspecified | 4 | NIv2 | task684_online_privacy_policy_text_information_type_generation | zs_opt | [
-1.2153774499893188,
-0.007281857542693615,
-0.623336911201477,
0.3291235566139221,
-0.6684465408325195,
-0.7633621692657471,
0.09145426750183105,
0.18999513983726501,
0.2880679965019226,
0.6233915090560913,
0.5367412567138672,
0.183004230260849,
-0.41999632120132446,
-0.36524200439453125,... |
Instructions: In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your an... | 35421 | 3 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.4131215810775757,
0.3567713499069214,
-0.2725829482078552,
-0.6362649202346802,
-0.581641674041748,
-0.36071228981018066,
0.5872873067855835,
0.24654114246368408,
-0.1292264461517334,
0.03196043521165848,
-0.9185789823532104,
-0.6559263467788696,
-0.9761862754821777,
0.04513736069202423... |
Q: Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Relationship: 'be state of', Argument/Subject 1: 'madhya pradesh', Argument/Subject 2: 'indium'
A: | Chhindwara district is one of the districts of Madhya Pradesh state of India , and Chhindwara town is the district headquarte ... | 7 | NIv2 | task677_ollie_sentence_answer_generation | zs_opt | [
0.29236388206481934,
0.00528465723618865,
0.02353343740105629,
-0.7303507924079895,
-0.5547605752944946,
-0.4440755248069763,
-0.2853810787200928,
1.223822832107544,
-0.1275007426738739,
-0.5683084726333618,
-0.6184525489807129,
-0.8821898102760315,
0.12318453192710876,
-0.1968080252408981... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences fro... | Tom hears a loud roaring >Causes> Tom feel(s) worried | 3 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.1643681824207306,
0.5701459646224976,
-0.5267054438591003,
0.06813979893922806,
-0.1499222218990326,
-1.4717216491699219,
0.6425619721412659,
0.6035722494125366,
-0.2113797813653946,
-0.06085924804210663,
-0.37698471546173096,
0.7290178537368774,
-0.8399222493171692,
-0.34127360582351685... |
Q: You are given a statement written in Malayalam. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: അക്കാലത്ത് ബ്രബാന്തിലെ സിഗറിന്റെ (Siger de Brabant) നേതൃത്വത്തിൽ <MASK> സർവകലാശാലയിലെ ഒരു കൂട്ടം ... | പാരിസ് | 7 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | zs_opt | [
0.6127728819847107,
0.8539056777954102,
0.009449109435081482,
-0.4169362187385559,
-0.30790185928344727,
-0.6524473428726196,
0.34377679228782654,
1.1634669303894043,
-0.1498464047908783,
0.48848438262939453,
-0.16005343198776245,
0.7778786420822144,
-0.4318010210990906,
-0.410247802734375... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Example input: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Example output: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Example explanation: The A... | ואיימי עשתה מה שכל אחד מאיתנו היה עושה: היא צילמה את זה. | 3 | NIv2 | task1233_ted_translation_ar_he | fs_opt | [
-0.8033721446990967,
0.07350341975688934,
0.2589431405067444,
-0.5393246412277222,
-0.4681369364261627,
-0.35850027203559875,
0.7384637594223022,
0.13717135787010193,
0.3468398153781891,
-0.5382500290870667,
-1.085538625717163,
0.12248237431049347,
-0.5636084675788879,
0.16359418630599976,... |
Detailed Instructions: In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
Q: [2.193... | [-9] | 9 | NIv2 | task367_synthetic_remove_floats | zs_opt | [
-0.5336782336235046,
0.547768771648407,
-0.3189772367477417,
-0.9327466487884521,
-0.24678723514080048,
-0.6480340361595154,
1.0695593357086182,
0.09425780177116394,
-0.10820189118385315,
0.48757830262184143,
-0.46540936827659607,
0.6868862509727478,
-0.012203078716993332,
0.17159014940261... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to Translate Czech text to English.
Způsob komplexního zpracování obilních mouk, a výhodou mouk nepekařských vlastností na potravinářská nebo krmivéřská aditiva, spočívá v přípravě speciální stabilizovaná suspenze m... | A method of complex processing of grain flour, and the advantage of non-bakery flour properties for food or feed additives, it consists of a special stabilized preparation a suspension of flour in water at 0 to 40 C, in its distribution in a centrifugal field within the coefficient of centrifugation 300 up to 3,... | 1 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
-0.43196308612823486,
-0.024528497830033302,
-0.46410632133483887,
0.1714504063129425,
0.09879589825868607,
0.2585287094116211,
0.3643819987773895,
0.703515887260437,
0.6303000450134277,
0.26631659269332886,
-0.21391308307647705,
-0.1865164041519165,
0.07062448561191559,
-0.103874541819095... |
You are given a statement written in Tamil. 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 .
--------
Question: Statement: கக்ரா (ஆங்கிலம்:Gagra) என்பது <MASK> வடகிழக்கு கடற்கரையில் இருக்கும், காகசஸ் மலைகளின் ... | காபூல்
| 7 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | fs_opt | [
1.1062079668045044,
0.24088771641254425,
-0.7860854864120483,
0.09914490580558777,
0.6800375580787659,
-0.7925528287887573,
0.5020096302032471,
0.4613405168056488,
-0.25641411542892456,
0.3739081621170044,
0.09198855608701706,
0.28045034408569336,
-0.8261924982070923,
-0.14405587315559387,... |
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Cr... | I oni nisu ni slutili. | 3 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.45062029361724854,
0.7169111371040344,
-0.1845627725124359,
0.7575629949569702,
-0.10508328676223755,
-0.9127449989318848,
0.48636573553085327,
0.10282201319932938,
-0.07986778020858765,
-0.29434943199157715,
-0.2792382836341858,
0.5610311031341553,
-0.18005111813545227,
-0.028269488364... |
In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
Example input: Bulgarian: Състав на Парламента: вж. протоколи, English: Membership of Parliament: se... | yes | 3 | NIv2 | task273_europarl_classification | fs_opt | [
-0.2454853504896164,
0.16285166144371033,
0.26384586095809937,
0.28255942463874817,
0.5629717111587524,
-1.2262322902679443,
0.33285433053970337,
1.1433742046356201,
0.2648949921131134,
0.7505400776863098,
0.24298951029777527,
0.8598612546920776,
-0.2654930353164673,
0.24283555150032043,
... |
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
[Q]: News ... | Funny
| 5 | NIv2 | task495_semeval_headline_classification | fs_opt | [
0.1859106719493866,
0.40970224142074585,
0.3114745020866394,
0.08240288496017456,
-0.3450429141521454,
-0.4256862998008728,
0.0034133298322558403,
1.2262243032455444,
-0.11858441680669785,
-0.03709232807159424,
-0.7226221561431885,
-0.26399609446525574,
-0.5971776247024536,
0.3461699783802... |
In this task, you are given a question. You have to answer the question based on your information.
Q: What TV show did the singer of Stunnah become prominent for?
A: | "The Simple Life" | 4 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
-0.057725269347429276,
1.0885182619094849,
0.14055198431015015,
-0.8835941553115845,
-0.3686090111732483,
0.7205844521522522,
0.7585904002189636,
0.2772640585899353,
-0.39973902702331543,
0.0014408810529857874,
-0.6402698755264282,
1.1399234533309937,
-1.1101598739624023,
-0.30666989088058... |
Given the task definition and input, reply with output. In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but n... | Hateful | 5 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.6638579368591309,
0.7881172895431519,
0.2635262906551361,
0.6498322486877441,
-0.1896055042743683,
-0.7667825222015381,
0.30275991559028625,
1.122619390487671,
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0.2732011079788208,
-0.18613050878047943,
0.19324183464050293,
-0.49376827478408813,
-0.23198460042476654,... |
Detailed Instructions: In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Q: During this... | Not paraphrase | 9 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.9324321746826172,
1.0857288837432861,
0.5274006128311157,
-0.40101712942123413,
-0.48934826254844666,
-0.2950412333011627,
1.355107307434082,
0.4128116965293884,
0.4862028956413269,
-0.32028454542160034,
-0.21947680413722992,
-0.08069263398647308,
-0.7540294528007507,
0.1531191766262054... |
You will be given a definition of a task first, then some input 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. 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 wil... | 6395x381323835287LOf | 1 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.1575353592634201,
0.3801797330379486,
-0.42746156454086304,
-0.5578542947769165,
0.0038729223888367414,
0.2035282850265503,
-0.046473149210214615,
-0.5062569379806519,
-0.17078354954719543,
0.03170228376984596,
-1.0049017667770386,
0.045639101415872574,
-0.16343112289905548,
-0.15935748... |
Detailed Instructions: In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
Q: [90, -... | [90, -58] | 9 | NIv2 | task367_synthetic_remove_floats | zs_opt | [
-0.7442138195037842,
0.6188841462135315,
-0.3660459518432617,
-0.9923923015594482,
-0.1321733295917511,
-0.8890438079833984,
1.1840360164642334,
-0.035068728029727936,
0.11315128207206726,
0.5080912113189697,
-0.34842777252197266,
0.7336829304695129,
0.11413607001304626,
0.2537776529788971... |
Teacher: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... | Вы подозреваете, что нашли акулу в фильме. | 6 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.8357658386230469,
0.07307425141334534,
-0.16522860527038574,
-0.2708354890346527,
-0.726037323474884,
0.3405264616012573,
0.51310133934021,
1.3679752349853516,
0.2080080360174179,
-0.5115052461624146,
-0.12851378321647644,
-0.466484010219574,
-0.7158232927322388,
0.29844915866851807,
... |
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... | progress | 8 | NIv2 | task390_torque_text_span_selection | zs_opt | [
0.3525863587856293,
0.30149322748184204,
0.20197224617004395,
-0.5550042390823364,
-0.20160934329032898,
0.37911421060562134,
0.9766954183578491,
0.5106978416442871,
-0.09644325822591782,
0.422695517539978,
-0.6090821027755737,
-0.30855315923690796,
-0.8709559440612793,
0.7917255163192749,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully... | Yes. | 1 | NIv2 | task057_multirc_classify_incorrect_answer | zs_opt | [
0.6812542676925659,
0.5945339202880859,
-0.626371443271637,
-0.41852617263793945,
0.8091357946395874,
-0.1860552430152893,
0.9292212724685669,
0.6896438598632812,
0.21033594012260437,
0.2705972194671631,
-0.40768498182296753,
0.3011876344680786,
-1.479396104812622,
-0.09735037386417389,
... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Input: 私達のグループは数百人と小規模ですが大きな影響を与えました
Output: | הקבוצות שלי קטנות, יש מאות מאיתנו, אבל יש לנו השפעה עצומה. | 2 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
0.08235430717468262,
0.5006387233734131,
-0.38478952646255493,
-0.11260302364826202,
-0.3920218050479889,
-1.0424590110778809,
0.6664937138557434,
-0.4117620289325714,
0.9914790391921997,
0.040852032601833344,
-0.46781060099601746,
0.5997999906539917,
-1.0356025695800781,
-0.35880827903747... |
instruction:
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'o... | 685407711
| 9 | NIv2 | task1443_string_to_number | fs_opt | [
-0.3940437436103821,
1.3732037544250488,
-0.3539000153541565,
-1.021317481994629,
-0.3678392767906189,
-0.653295636177063,
1.1596492528915405,
0.14833921194076538,
-0.16345053911209106,
-0.50873863697052,
-0.49198660254478455,
0.525397002696991,
-1.1951756477355957,
-0.14874109625816345,
... |
Instructions: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) ... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'NO_DIFF'... | 3 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.6190272569656372,
0.12726622819900513,
-0.572144091129303,
-0.04041590541601181,
0.1276347041130066,
-0.5643619298934937,
0.48880693316459656,
0.6838308572769165,
-0.46515217423439026,
0.18589061498641968,
-0.35908272862434387,
-0.4454349875450134,
-0.754159688949585,
-0.2470918297767639... |
Teacher:You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and... | No. | 6 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.9494746923446655,
0.3223080337047577,
0.6001510620117188,
0.5150437355041504,
-0.2704833745956421,
-1.5048773288726807,
0.08782250434160233,
1.224790334701538,
-0.051711346954107285,
-0.2783866822719574,
0.3335985839366913,
0.019115760922431946,
0.04941124469041824,
-0.26437997817993164... |
Definition: Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no cl... | Neutral | 2 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-0.28345683217048645,
-0.1789667010307312,
0.1999250054359436,
0.43250536918640137,
0.16898545622825623,
-0.8482098579406738,
0.9862102270126343,
0.2070314884185791,
0.22431716322898865,
-0.0380648635327816,
-0.44176408648490906,
-0.22573743760585785,
-0.7318646907806396,
-0.03744921460747... |
Definition: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering 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:... | WP | 2 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
0.28090059757232666,
0.4674999713897705,
0.1524280458688736,
0.5346521139144897,
0.08429907262325287,
-0.767269492149353,
0.9731067419052124,
0.6468225121498108,
-0.3547934293746948,
0.03311127796769142,
-0.1892617642879486,
0.032437197864055634,
-0.21364766359329224,
-0.25241219997406006,... |
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 set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a... | Who controlled the lower coast in 1615? | 0 | NIv2 | task184_break_generate_question | fs_opt | [
0.9428746700286865,
-0.02410011738538742,
-0.6255964040756226,
0.5312027931213379,
0.2921985983848572,
-0.4750981628894806,
0.7552295923233032,
0.583202600479126,
-0.6526772975921631,
0.6023514270782471,
-0.3058599531650543,
0.4919506311416626,
0.016339141875505447,
0.32963258028030396,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You 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... | algebra | 0 | NIv2 | task834_mathdataset_classification | fs_opt | [
0.10200992226600647,
0.04235537350177765,
-0.3148673176765442,
-0.19995157420635223,
0.19579260051250458,
0.5082806348800659,
0.4776247441768646,
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-0.43018853664398193,
-0.7110143303871155,
-0.19162702560424805,
-0.22487406432628632,
0.17252284288406... |
Given the task definition and input, reply with output. You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Sentence1: The 2002 second quarter results don 't include figures from our friends at Compaq ., Sentence2: The year-ago n... | Yes | 5 | NIv2 | task1288_glue_mrpc_paraphrasing | zs_opt | [
-1.2522389888763428,
0.9797664880752563,
-0.05919631943106651,
-0.2539690136909485,
-0.8369323015213013,
0.16280072927474976,
0.68397057056427,
0.6441164016723633,
0.3743005692958832,
0.000962562276981771,
-0.22898003458976746,
0.2747587561607361,
-0.16096653044223785,
0.3207276463508606,
... |
Given a sentence in French, generate a new French 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... | L'effet de l'achat d'une couverture est de posséder une chemise.
| 0 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | fs_opt | [
-0.672076940536499,
0.9947957992553711,
-0.4135599732398987,
-0.4839378595352173,
0.057895008474588394,
-0.46321237087249756,
0.3893975615501404,
0.22450220584869385,
0.18777787685394287,
-0.0434643030166626,
-0.5888670086860657,
0.15644297003746033,
-0.7516471743583679,
0.0814983174204826... |
Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
--------
Question: Well, actually dumba** I go back to Cowper days and I still live in Alaska. I spent thirty years dealing with idiots like you, and most of the time I won.
Answer: Yes
Question: Whoever ge... | Yes
| 7 | NIv2 | task1721_civil_comments_obscenity_classification | fs_opt | [
-0.6032021045684814,
0.4264976382255554,
0.6034773588180542,
0.3579733967781067,
-0.536758303642273,
-0.9082894921302795,
0.24770767986774445,
0.9734925627708435,
-0.3630162477493286,
0.45989954471588135,
-0.43059495091438293,
0.3997170329093933,
-0.13075748085975647,
-0.5270804762840271,
... |
In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', c... | 1
****
| 4 | NIv2 | task201_mnli_neutral_classification | fs_opt | [
-0.2053494155406952,
-0.5696374177932739,
-0.2266281694173813,
0.38537347316741943,
0.5849244594573975,
0.3397483229637146,
0.3734040856361389,
0.7901325821876526,
0.10434847325086594,
0.11900074779987335,
-0.02266654372215271,
-0.3603213131427765,
-0.06527775526046753,
-0.1348743885755539... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: English: "That's a terrible thing to say but those people who run Iran need to u... | No
****
| 4 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
0.34932971000671387,
-0.2986469268798828,
0.07733898609876633,
-0.0038035502657294273,
0.5340251922607422,
-0.3329336941242218,
0.14702215790748596,
0.49324551224708557,
-0.4994525909423828,
0.4575846791267395,
0.17062124609947205,
0.05554512143135071,
-0.344722718000412,
0.521585643291473... |
Detailed Instructions: In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the s... | False | 9 | NIv2 | task1311_amazonreview_rating_classification | zs_opt | [
-0.1355169713497162,
-0.20045194029808044,
0.1410360336303711,
0.02740602195262909,
0.6359188556671143,
-0.38766342401504517,
0.8011550307273865,
0.7914959192276001,
0.024706555530428886,
0.3884008526802063,
-0.6534428596496582,
-0.1679631769657135,
-0.9841674566268921,
0.111971415579319,
... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Q: I don't have that exact in... | assistant | 4 | NIv2 | task577_curiosity_dialogs_classification | zs_opt | [
-0.2953822612762451,
0.7108821868896484,
0.06819692254066467,
-0.9801091551780701,
-0.5788864493370056,
0.08030980080366135,
1.3806979656219482,
-1.0251948833465576,
0.7678807973861694,
-0.17595259845256805,
0.07988287508487701,
-0.5745055079460144,
-0.2781429886817932,
0.09413724392652512... |
You will be given a passage with an enumerated set of facts, a question of form 'Where is <person_name>?', and its answer. The task is to identify a supporting fact that is necessary to answer the question. The output would be the corresponding fact number.
Q: Passage: Fact 1- Sandra went to the kitchen. Fact 2- Mary ... | Fact 8
****
| 4 | NIv2 | task084_babi_t1_single_supporting_fact_identify_relevant_fact | fs_opt | [
0.2774105668067932,
0.714972972869873,
-1.1757373809814453,
-0.732987642288208,
-0.9214289784431458,
-0.6117978096008301,
0.2124556303024292,
0.4667602777481079,
0.17862261831760406,
0.3169863224029541,
-0.4148426353931427,
0.3644304871559143,
-0.8710280656814575,
0.19071340560913086,
-0... |
Definition: In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Input: Rachel has a more active social life than Felicia because _ invites people on dates frequently. (A) Rachel (B) Felicia
Output: | A | 2 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
-0.01212979108095169,
0.35626834630966187,
0.11406809091567993,
-0.12402620911598206,
-0.5309540033340454,
0.02772376500070095,
0.4744362235069275,
0.7118751406669617,
0.495114266872406,
-0.24527297914028168,
-0.5167919993400574,
-0.22378621995449066,
0.3688942790031433,
0.0221529342234134... |
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 | 4 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.2592387795448303,
0.43549448251724243,
0.11567898094654083,
0.029592320322990417,
-0.3559824228286743,
-0.677352249622345,
1.0145337581634521,
0.6607767939567566,
-0.7304078936576843,
-0.15453004837036133,
-0.6764973402023315,
-0.19089549779891968,
-0.5321276187896729,
-0.019468475133180... |
The input is a tweet which can be Hate Speech, Offensive or Normal tweet. Hate Speech and Offensive tweets target one community. Given such a tweet, output the community targeted in the tweet. The community will be one of the nine values: 'African', 'Islam', 'Jewish', 'Women', 'Refugee', 'Arab', 'Caucasian', 'Hispanic'... | Islam | 6 | NIv2 | task1503_hatexplain_classification | fs_opt | [
-0.16691842675209045,
0.45887017250061035,
0.0635853186249733,
0.36585578322410583,
-0.3264476954936981,
-0.6981774568557739,
0.08371611684560776,
0.9706546068191528,
0.3002138137817383,
0.5599604249000549,
-0.3287944495677948,
-0.04274684563279152,
-0.2314973920583725,
-1.211350679397583,... |
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Q: so now we have a scenario where two of the angles have the same measure .
A: now we have a case in which two angles are equal .
****
Q: she... | i do n't know , but there will be food and music .
****
| 4 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
-0.6437020301818848,
0.7115561962127686,
0.2380964308977127,
-0.12323959916830063,
-0.21527276933193207,
-1.1288962364196777,
0.3005061447620392,
0.56052565574646,
-0.1449737548828125,
0.28092503547668457,
-0.15313448011875153,
-0.3172762989997864,
-0.4408545196056366,
0.5941952466964722,
... |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common'... | music
| 1 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.0022652866318821907,
0.16317081451416016,
-0.33149388432502747,
-0.2643383741378784,
0.3781510591506958,
-0.19097161293029785,
0.16550560295581818,
0.7879693508148193,
-0.07583335787057877,
0.42518675327301025,
-0.27753332257270813,
0.2696213722229004,
-0.49142536520957947,
-0.3622570037... |
In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position is the nu... | 2, But her new job meant she had less time to make food.
| 1 | NIv2 | task299_storycloze_sentence_generation | fs_opt | [
-0.15899309515953064,
0.37018316984176636,
-0.14874666929244995,
-0.30519193410873413,
0.20631961524486542,
-0.04164355248212814,
0.046371154487133026,
0.6881923079490662,
-0.17022638022899628,
-0.0391499400138855,
-0.27779620885849,
-0.32500773668289185,
-0.394232839345932,
-0.27399092912... |
You will be given a definition of a task first, then some input of the task.
A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
દેશના લોકોના જીવનને વધુ સારું બનાવવા માટે તેમના અધિકાર સુનિશ્ચિત કરવા માટ... | मानवाधिकारांच्या प्रति जागरूकता तर आवश्यक आहेच, तसेच नागरिकांना त्यांचे कर्तव्य, त्यांच्या जबाबदाऱ्यांची आठवण करून देणे देखील तितकेच आवश्यक आहे. | 1 | NIv2 | task983_pib_translation_gujarati_marathi | zs_opt | [
-0.11811435222625732,
0.5438932180404663,
0.41028305888175964,
-0.6254191398620605,
0.6280254125595093,
-1.2087383270263672,
1.1761138439178467,
0.0628947988152504,
-0.2749292254447937,
0.22473818063735962,
-1.180943250656128,
-0.6652408242225647,
-0.7549748420715332,
-0.10481245070695877,... |
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words ar... | ['So', 'when', "we're", 'at', 'a', 'social', 'gathering', 'and', "we've", 'determined', 'that', 'this', 'is', 'the', 'most', 'appropriate', 'time', 'to', 'perform', 'the', 'worm,', 'how', 'does', 'our', 'brain', 'tell', 'our', 'muscles', 'to', 'contract', 'well', 'this', 'video,', "we'll", 'talk', 'about', 'the', 'plac... | 4 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.8177707195281982,
0.6338372230529785,
0.07401922345161438,
-0.5237278938293457,
0.41712138056755066,
-0.6728334426879883,
-0.011447980999946594,
0.6958218812942505,
-0.24753379821777344,
0.3748910427093506,
0.10634122043848038,
0.04304143786430359,
-0.43634000420570374,
-0.38890326023101... |
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
ఈ మేరకు 2015-2018 మధ్య వార్షిక తగ్గుదల 8. | 2011-ல் 44 ஆக சிசு இறப்பு விகிதம் (ஐ. | 0 | NIv2 | task1076_pib_translation_telugu_tamil | zs_opt | [
-0.6066970825195312,
0.5604138374328613,
0.2762213349342346,
0.04684297367930412,
0.2990727722644806,
-0.4634884297847748,
-0.5116387605667114,
0.728393018245697,
-0.9733721017837524,
-0.23828013241291046,
-0.4248037040233612,
-0.8344767093658447,
-1.0834195613861084,
0.11793507635593414,
... |
In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
One example is below.
Q: They both let out relieved breaths at the doctor's words.
A: Plural
Rationale: ... | Singular | 9 | NIv2 | task431_senteval_object_count | fs_opt | [
-1.157888650894165,
0.7925616502761841,
-0.19473513960838318,
-0.747032642364502,
-0.298385888338089,
-0.7680595517158508,
1.3720405101776123,
-0.2226727157831192,
0.3894420862197876,
-0.6554915308952332,
-0.47943463921546936,
0.4200547933578491,
-0.8418501615524292,
0.10532239824533463,
... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
كانت حول انخفاض تكاليف المعاملات كسر سلاسل القيمة وبالتالي السماح باللاوساطة ، أو ما نسميه التفكيكية.
A: | It was about falling transaction costs breaking up value chains and therefore allowing disintermediation, or what we call deconstruction. | 7 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
-0.5124800205230713,
-0.10856734961271286,
0.08520441502332687,
-0.3370066285133362,
0.4586836099624634,
0.5708488821983337,
0.7332581281661987,
0.07113376259803772,
0.7268346548080444,
-0.2736707329750061,
-0.2145097851753235,
-0.5995205640792847,
-0.31738701462745667,
0.875298261642456,
... |
instruction:
In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence be... | True
| 9 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
-0.007704087533056736,
0.3836907744407654,
-0.5915737748146057,
0.12033163011074066,
0.1614384949207306,
-0.7843761444091797,
1.136892318725586,
0.5990257263183594,
-0.3572917878627777,
-0.011945088393986225,
0.1350712776184082,
0.48194530606269836,
-0.46932438015937805,
-0.142044275999069... |
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
Example ... | your arm off with a doctor if you're sane | 3 | NIv2 | task080_piqa_answer_generation | fs_opt | [
-0.13770705461502075,
0.7765539884567261,
-0.32729971408843994,
-0.3707764148712158,
-0.06321657449007034,
0.10930483043193817,
0.10880964249372482,
0.5843396186828613,
0.24589282274246216,
0.5758242607116699,
0.5243856310844421,
0.5049463510513306,
-0.35619881749153137,
-0.061335373669862... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input... | H, g, V, B, K, T, e, r, 7835, 7179, 2329, 6613, 6351, 1993
| 6 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | fs_opt | [
-0.16236838698387146,
0.0371299684047699,
-0.3799625039100647,
-0.00017832918092608452,
0.21701689064502716,
-0.6537989377975464,
0.5839270353317261,
0.4955349862575531,
-0.5788756608963013,
0.6237682104110718,
-0.6341906785964966,
0.19942626357078552,
-0.4555746912956238,
0.30889636278152... |
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
One example is below.
Q: PersonX sees ___ in the wild
A: tiger
Rationale: This is a g... | alcohol | 9 | NIv2 | task1217_atomic_answer_generation | fs_opt | [
-0.4944407343864441,
1.050133466720581,
-0.002943061525002122,
-0.47456949949264526,
-0.3677075505256653,
-0.3591991662979126,
0.6497504711151123,
0.6572245359420776,
-0.06102445721626282,
-0.7083620429039001,
-0.26122403144836426,
-0.8545477986335754,
-0.6717475652694702,
0.03386346995830... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes
| 0 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.6920243501663208,
-0.35260361433029175,
0.2589653730392456,
0.2483561933040619,
0.02187647856771946,
-1.357782244682312,
1.3518503904342651,
0.7853704690933228,
-1.0587871074676514,
-0.28941988945007324,
-0.17488466203212738,
-0.27422434091567993,
-0.675242006778717,
0.25177842378616333,... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Q: من فقط ۴سالم بود وقتی برای اولین بار یه ماشین لباس شوی رو دیدم که مادرم داشت من فقط ۴سالم بود وقتی برای اولین بار یه ماشین لباس شوی رو دیدم که مادرم داشت برای اولین بار در زندگیش اونو پر میکرد.
A: | Eu tiña só catro anos cando vin á miña nai cargar a lavadora por primeira vez na súa vida. | 4 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-0.33343878388404846,
1.1446082592010498,
-0.9351171255111694,
0.1357560157775879,
-0.7251649498939514,
-0.41511398553848267,
0.0663670226931572,
1.0533976554870605,
0.24933017790317535,
0.5469340682029724,
-0.07654786109924316,
0.015640653669834137,
0.2314663529396057,
-0.2092759609222412... |
Teacher:A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: കേന്ദ്രത്തേയും സംസ്ഥാനങ്ങളേയും ഒന്നായെടുത്തുകൊണ്ട്, നഗരങ്ങളേയും മെട്രോപോളിറ്റന് മുന... | ଜିଏସଟି ମାଧ୍ୟମରେ ଆମେ ଏକ ରାଷ୍ଟ୍ର, ଏକ ଟିକସ ସ୍ୱପ୍ନକୁ ସାକାର କରିଛୁ । ଆମେ ସଫଳତା ପୂର୍ବକ ଶକ୍ତି କ୍ଷେତ୍ରରେ ଏକ ରାଷ୍ଟ୍ର, ଏକ ଗ୍ରୀଡ କରିପାରିଛୁ । ସେହିପରି ଏକ ରାଷ୍ଟ୍ର, ଏକ ପରିବହନ କାର୍ଡ-ଏହି ବ୍ୟବସ୍ଥାକୁ ମଧ୍ୟ ଆମେ ବିକଶିତ କରିଛୁ । ଆହୁରି ଆଜି ଦେଶରେ ବ୍ୟାପକ ଭାବେ ଆଲୋଚନା ହେଉଛି ଯେ, “ଏକ ଦେଶ, ଏକ ସଙ୍ଗେ ନିର୍ବାଚନ” । ଏହା ଗଣତାନ୍ତ୍ରିକ ଢଙ୍ଗରେ ହେବା ଉଚିତ । | 6 | NIv2 | task979_pib_translation_malayalam_oriya | zs_opt | [
0.08292592316865921,
0.9627784490585327,
-0.07638667523860931,
-1.0720851421356201,
-0.07738561928272247,
-0.39064979553222656,
0.44264084100723267,
0.5604296922683716,
-0.4303681552410126,
-0.1719704270362854,
-0.3764335811138153,
-0.4449826776981354,
-0.20113134384155273,
-0.265772581100... |
Part 1. Definition
This task is to translate the English language Input to Telugu Language Output
Part 2. Example
I am very happy
Answer: స్నేను చాలా సంతోషంగా ఉన్నాను
Explanation: The translation is correct with meaning of the sentence not being impacted.
Part 3. Exercise
activity before 1 year, 3 month
Answer: | 1 సంవత్సరం ముందు, నెల నెల | 7 | NIv2 | task1616_cc_alligned_translate_eng_tel | fs_opt | [
0.20744606852531433,
1.042036533355713,
-0.09561069309711456,
-0.03141193091869354,
0.10697194933891296,
-0.2932414412498474,
0.042461246252059937,
0.14987361431121826,
0.23595857620239258,
-0.4700666666030884,
-0.4007681608200073,
0.2206859439611435,
-0.9233326315879822,
-0.46258005499839... |
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 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 re... | Yes | 0 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
0.7222683429718018,
-0.23667360842227936,
0.3472226858139038,
0.22567930817604065,
0.06945857405662537,
-0.8658621311187744,
0.563217043876648,
0.8660762310028076,
-0.7613774538040161,
0.08670589327812195,
-0.44448599219322205,
-0.4793965220451355,
-0.5664451122283936,
-0.10257618129253387... |
In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
[Q]: The boy rides his basketball to school.
The bo... | first
| 5 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
0.3217025399208069,
0.7635539770126343,
-0.3616480231285095,
-0.03020990639925003,
-0.17267116904258728,
-0.3304917812347412,
0.5882046222686768,
0.5071295499801636,
0.7437195777893066,
0.012203196994960308,
-0.5695881843566895,
-0.05577709525823593,
-0.6147478818893433,
-0.160114929080009... |
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | Mijn cel heeft de hele nacht geslapen.
| 3 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.42767494916915894,
0.7162613272666931,
-0.03226053714752197,
-0.17485961318016052,
-0.6363167762756348,
-0.8185267448425293,
-0.13243712484836578,
0.7241389751434326,
0.19447572529315948,
-0.2771003842353821,
-0.7397738695144653,
0.6103951930999756,
-0.6238558888435364,
0.18113948404788... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Problem:Comment: You just cannot shut your trap, can you? You made your ... | Insult | 8 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
-0.5848138332366943,
0.939132809638977,
1.0780218839645386,
-0.21143878996372223,
0.02989780902862549,
-0.2763153910636902,
0.42165058851242065,
0.32804951071739197,
0.08216126263141632,
0.07538910955190659,
0.15221403539180756,
-0.18187040090560913,
-0.5895524024963379,
-0.424067974090576... |
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.
Q: والله ظلموه ل... | NEGATIVE | 4 | NIv2 | task1414_ajgt_twitter_ar_classification | zs_opt | [
-1.8599703311920166,
-0.239627406001091,
0.5830626487731934,
-0.452434778213501,
-0.6085765957832336,
-0.2663503885269165,
0.6084380745887756,
0.014752363786101341,
0.3464230000972748,
-0.07583734393119812,
-0.7445759773254395,
0.18581481277942657,
-0.18393854796886444,
-0.1321242451667785... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Teacher: Now, understand the problem? Solve this instance: 例えば私たちの研究のグループは恐怖の記憶を司る脳細胞を見つけ出しそれを喜びの記憶に変えることに成功しました
Student: | SR: For example, one group in our lab was able to find the brain cells that make up a fear memory and converted them into a pleasurable memory, just like that. | 6 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
0.2271098494529724,
0.15955689549446106,
0.8139112591743469,
-0.8318274617195129,
-0.5359869599342346,
-1.0245287418365479,
0.2686247229576111,
-0.558631181716919,
0.08497302234172821,
-0.6155412793159485,
-0.30581414699554443,
0.15362392365932465,
-0.8742548227310181,
-0.18940511345863342... |
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).
Example: Alonzo feels angry.
Example solution: male
Example explanation: The gender of the person is correct and detected mainly based on the n... | Solution: female | 5 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.4558559060096741,
0.5009667873382568,
-0.40141886472702026,
-0.4082212746143341,
-0.3749772012233734,
-0.5432553291320801,
0.8156237006187439,
0.13803313672542572,
0.4300767481327057,
-0.1474292129278183,
-0.9934737682342529,
-0.2690333127975464,
-1.1510703563690186,
0.02489230036735534... |
TASK DEFINITION: A text is given in Hindi. Translate it from the Hindi language to the Panjabi language. The translation must not omit or add information to the original sentence.
PROBLEM: डिजिटल इंडिया क्रांति
SOLUTION: ਡਿਜੀਟਲ ਇੰਡੀਆ ਕ੍ਰਾਂਤੀ
PROBLEM: महात्मा गांधी केन्द्र की स्थापना के लिए फार ईस्ट फेडरल यूनिवर्सिटी ... | Rodrigo Duterte) ਨਾਲ ਦੁਵੱਲੀ ਮੀਟਿੰਗ ਦਾ ਰਾਹ ਦੇਖ ਰਿਹਾ ਹਾਂ। ਮੈਂ ਆਸੀਆਨ ਅਤੇ ਪੂਰਬੀ ਏਸ਼ੀਆ ਸਿਖਰ ਆਗੂਆਂ ਨਾਲ ਵੀ ਵਿਚਾਰ-ਵਟਾਂਦਰਾ ਕਰਾਂਗਾ।
| 8 | NIv2 | task1011_pib_translation_hindi_punjabi | fs_opt | [
0.4659044146537781,
0.07846041023731232,
0.03311717510223389,
-0.4067007899284363,
-0.45547252893447876,
-0.14592649042606354,
0.7432066202163696,
0.564903974533081,
-0.05498316138982773,
0.12037558853626251,
-0.2665199637413025,
-0.5297032594680786,
-0.4589821398258209,
0.4978326559066772... |
Given the task definition and input, reply with output. 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). Person... | Yes | 5 | NIv2 | task1204_atomic_classification_hinderedby | zs_opt | [
0.6041899919509888,
0.27337366342544556,
0.4770224988460541,
0.4776461124420166,
-0.4634067416191101,
-1.003547191619873,
0.5385147333145142,
0.5348671674728394,
-0.4392354190349579,
-0.24845898151397705,
-0.7058626413345337,
-0.12602593004703522,
-0.5587713718414307,
0.025993024930357933,... |
Definition: Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Input: Category: consumer product
Words: service, specialty, content, item, nervous
Output: | nervous | 2 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
0.043929487466812134,
-0.004914888180792332,
0.17118696868419647,
-0.1288450062274933,
0.3380758464336395,
0.09106677770614624,
0.4034498333930969,
-0.020679693669080734,
0.3008478283882141,
-0.19814011454582214,
-0.5699400901794434,
-0.30245906114578247,
-0.9291086792945862,
-0.1324856579... |
Detailed Instructions: This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint ... | When did the two black congressmen retire? | 9 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
0.15980201959609985,
0.3342026174068451,
-0.13081830739974976,
0.2949766218662262,
0.048401109874248505,
-0.5456835627555847,
-0.4697380065917969,
0.9295960664749146,
0.3488692343235016,
0.4906480014324188,
-0.2513483166694641,
-0.03537902235984802,
-0.24501053988933563,
-0.423092365264892... |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Input: Consider Input: [-50, 97, 175]
Output: [-50, 100, 180]
Input: Consider Input: [-981, 108, -448, -714, -770, 938, -172, -88, 609, -7... | Output: [-610, 350, 260, 180, 630, -340, -930, -550, -720, -910, -380, -180, 180, 80, -990]
| 2 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-1.1309809684753418,
0.5487825870513916,
-0.3737078905105591,
-0.2167946696281433,
-0.28444331884384155,
-0.11222201585769653,
0.7919937372207642,
0.18748244643211365,
-0.3240146338939667,
0.5008671283721924,
-0.7462518811225891,
0.3272818326950073,
-0.658643364906311,
0.3552922010421753,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Or perhaps this was just a bad New Year's joke?
| Или може би това е било само лоша новогодишна шега? | 5 | NIv2 | task272_europarl_translation | zs_opt | [
-0.8226770162582397,
1.3124967813491821,
0.4096602499485016,
-0.2999565601348877,
-0.04416212439537048,
0.14990900456905365,
0.518747091293335,
-0.0080385971814394,
0.849219560623169,
-0.7373898029327393,
-0.4729940891265869,
1.0971033573150635,
-0.6395291686058044,
0.4420933127403259,
0... |
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 return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be... | Solution: 5729 | 5 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
0.12313225120306015,
0.11411722004413605,
-0.5508625507354736,
-0.5589103698730469,
-0.10238514095544815,
-0.14077970385551453,
0.015189320780336857,
0.43987175822257996,
-0.47732919454574585,
-0.4257790148258209,
-1.1147348880767822,
0.3783539831638336,
0.03692246600985527,
0.062799781560... |
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Non-hateful
| 0 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.4131157398223877,
0.30717194080352783,
0.545040488243103,
0.5521777868270874,
0.038044676184654236,
-0.5856323838233948,
0.14213579893112183,
0.6947616934776306,
0.0925111472606659,
0.9727479815483093,
0.0590255931019783,
0.03345514088869095,
-0.38160550594329834,
-0.7346899509429932,
... |
Q: 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.
Der Grund ist, dass die monetären Kosten nur ein... | La razón es que el costo monetario es sólo un factor. | 7 | NIv2 | task1373_newscomm_translation | zs_opt | [
-0.4401809573173523,
0.33365240693092346,
-0.056757792830467224,
-0.08815930783748627,
-0.1598767638206482,
0.08777857571840286,
0.5102770924568176,
1.1045315265655518,
0.3958122730255127,
-0.3368130028247833,
0.13467435538768768,
0.09412907063961029,
-0.639690637588501,
0.0320858433842659... |
Definition: In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
... | [8, -96, -20, -38, 68, 22, 84] | 2 | NIv2 | task369_synthetic_remove_odds | zs_opt | [
-0.7746628522872925,
0.4114835262298584,
-0.21610327064990997,
-0.5200265645980835,
0.059282444417476654,
-0.20956115424633026,
0.8038867712020874,
0.25033140182495117,
0.06193584203720093,
0.20391465723514557,
-0.799118161201477,
-0.15283864736557007,
-0.09526802599430084,
-0.358400553464... |
In this task, we ask you to write an answer to a question about the events that may happen before or after a certain event. For example, "earning money" usually appears before "spending money". Note that a lot of the questions could have more than one correct answer. We only need a single most-likely answer. Please try... | Solution: she became a teacher. | 5 | NIv2 | task010_mctaco_answer_generation_event_ordering | fs_opt | [
0.20897918939590454,
0.7802612781524658,
-0.6506603956222534,
-0.3137595057487488,
-0.5799857378005981,
-0.11763863265514374,
0.6581794619560242,
0.4006401598453522,
0.29602324962615967,
-0.6122955083847046,
0.007091880310326815,
0.34004655480384827,
-0.7964586615562439,
-0.147342935204505... |
A question is presented to you in this task, and your job is to write a potentially correct answer.
Q: what 3 countries does mexico border?
A: | United States of America | 4 | NIv2 | task1412_web_questions_question_answering | zs_opt | [
0.20408684015274048,
0.5558757781982422,
-0.09622596949338913,
-0.18883666396141052,
-0.5903487205505371,
1.3373472690582275,
0.4053574204444885,
0.2621411085128784,
-0.07130380719900131,
-0.5137451887130737,
-0.36761319637298584,
0.2627798914909363,
0.44849562644958496,
-0.211053743958473... |
Part 1. Definition
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 fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this... | RB | 7 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.11537744104862213,
0.3424674868583679,
-0.04420647397637367,
0.23168352246284485,
0.14432305097579956,
-0.6574423909187317,
0.6645198464393616,
1.0115272998809814,
-0.6487268805503845,
-0.16786104440689087,
-0.10770349949598312,
0.18473589420318604,
-0.14322523772716522,
-0.0353997722268... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Neural machine translation (NMT) approaches have improved the state of the art in many mac... | Neural machine translation for low-resource languages | 1 | NIv2 | task1540_parsed_pdfs_summarization | zs_opt | [
-0.3631840646266937,
0.601551353931427,
-0.02069960907101631,
0.14337584376335144,
0.10368433594703674,
-0.09232577681541443,
0.5414857864379883,
0.6909436583518982,
0.5338449478149414,
0.27211669087409973,
-0.6434715390205383,
-0.19567644596099854,
-0.423473060131073,
0.45753127336502075,... |
Q: 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', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulti... | 7344u51267529176 | 7 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
-0.28432172536849976,
0.7281957864761353,
-0.5043330192565918,
-0.4803367853164673,
0.07116176187992096,
0.24610044062137604,
0.8149710297584534,
0.23354335129261017,
-0.13647809624671936,
-0.18172919750213623,
-0.8649080991744995,
0.10180854797363281,
0.16788193583488464,
-0.1217296719551... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Q: Perché è già cominciato.
A: Porque o crecemento aínda está en proceso.
****
Q: E 'l'equivalente di quasi 1,45 miliardi di dollari statunitensi solo di costi di traduzione.
A: Iso supón arredor de 1.450 millóns de dól... | Foi unha gran proeza porque se lles fas caso aos dermatólogos dinche que tes que poñer unha copiña de protector solar.
****
| 4 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.7827247381210327,
1.2897483110427856,
-0.22546985745429993,
-0.3222757875919342,
-0.8711420297622681,
-0.022077884525060654,
0.08448722958564758,
1.519296646118164,
-0.1598840355873108,
-0.5512714385986328,
0.04918619990348816,
0.39856839179992676,
-0.7425440549850464,
0.474218487739563... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (co... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'STEM_BASED_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUN... | 0 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.3622032403945923,
-0.1624194085597992,
-0.022012077271938324,
-0.06126829981803894,
0.308735728263855,
-0.045239731669425964,
0.37537962198257446,
0.48371046781539917,
0.048486825078725815,
0.29578840732574463,
-0.16199803352355957,
-0.5697267651557922,
-0.24982252717018127,
-0.034979358... |
Definition: A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: एचआईवी पीड़ित लोगों के साथ किसी तरह का भेदभाव न हो, उन्हेंसमान उपचार मिले, उसे भी कानून द्वारा सुनिश्चित करने का काम हमने किया है।
Output: | एचआयव्ही पीडित लोकांबरोबर कोणताही भेदभाव होऊ नये, त्यांना समान उपचार मिळावे, हेदेखील कायद्याने सुनिश्चित करण्याचे काम आमच्या सरकारने केले आहे. | 2 | NIv2 | task1081_pib_translation_hindi_marathi | zs_opt | [
-0.14627936482429504,
-0.24537411332130432,
0.18409618735313416,
0.1558915078639984,
0.04057122766971588,
-1.1583629846572876,
0.38719069957733154,
0.9707542657852173,
0.06157081574201584,
0.03748079761862755,
-0.9816752672195435,
-0.4267768859863281,
-0.20731209218502045,
0.51941919326782... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Q: Inizieremo dalla Guida "" Claro "" della Giustizia
A: Vamos começar pelo Guia Claro da Justiça.
****
Q: Abbiamo creato un istituto, l'Istituto Terra, e abbiamo costruito un grande progetto ambientale per raccogliere ... | E eu exponho os seus planos.
****
| 4 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
-0.1772996336221695,
0.6376094222068787,
0.0530339777469635,
-0.5200859308242798,
-0.5422950387001038,
-1.2220361232757568,
-0.8193728923797607,
1.0540403127670288,
-0.3254891037940979,
-0.11349287629127502,
0.13809171319007874,
0.03412638604640961,
-0.2022629976272583,
0.26372790336608887... |
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