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 |
|---|---|---|---|---|---|---|
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.
[EX Q]: Comment: A Trump/Bannon boot-licking sycophant, Tancredo wear... | Non-sexual-explicit
| 6 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.5123027563095093,
-0.1857459545135498,
0.06267908960580826,
0.23695608973503113,
0.15666386485099792,
-0.09374726563692093,
-0.3324034810066223,
0.90788733959198,
0.29898056387901306,
0.7552362680435181,
0.1427142471075058,
0.34445053339004517,
-0.1828034222126007,
-0.9294087886810303,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
--------
Question: A beleza da sopa é que por causa de ser uma sopa, pode ser agitada e fazer esses núcleos distribuírem-se homogeneamente no líquido, pelo que, olhando agora ao microscópio para apenas quatro ou cinco... | Osservavano il calcolo dentale al microscopio, e quello che trovavano erano polline e amido delle piante, e trovavano cellule muscolari di carne animale e batteri.
| 7 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
0.4036155045032501,
0.4690382182598114,
-0.34993505477905273,
-0.3073982298374176,
-0.2954257130622864,
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0.2852618098258972,
0.9474216103553772,
-0.17366045713424683,
-0.48586058616638184,
-0.4511599540710449,
0.3741661608219147,
-0.7231336832046509,
0.20518305897712708... |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
پس شما یعنی همه مردان جنگی شهر را طواف کنید، و یک مرتبه دور شهر بگردید، و شش روزچنین کن. | And they did eat of the old corn of the land on the morrow after the passover, unleavened cakes, and parched corn in the selfsame day. | 0 | NIv2 | task654_bible_fa_en_translation | zs_opt | [
-0.9817388653755188,
1.0803720951080322,
-0.026618197560310364,
-0.1972067803144455,
-0.15611746907234192,
-0.14873993396759033,
0.41216981410980225,
-0.4194324016571045,
0.6822988986968994,
-0.498730331659317,
-1.041943907737732,
0.48574644327163696,
-0.72923743724823,
-0.2300394773483276... |
Detailed Instructions: In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
See one example ... | neutral | 4 | NIv2 | task1554_scitail_classification | fs_opt | [
0.3658600151538849,
0.4295775294303894,
-0.09127302467823029,
-0.1855490654706955,
-0.4552614092826843,
-0.520789384841919,
-0.22847332060337067,
0.8855698108673096,
-0.06541306525468826,
-0.4305184483528137,
-1.018510103225708,
-0.38628706336021423,
-0.43986621499061584,
-0.22242356836795... |
Teacher: 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..
Teacher: Now, understand the problem? If you are still confused, see the following example:
Context: Tracy didn't go home that ... | Why did Tracy do this? | 2 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
0.3506995439529419,
0.7816761136054993,
0.2535017728805542,
0.12047038227319717,
0.12118780612945557,
-0.7921767234802246,
0.11326287686824799,
0.01842712238430977,
0.3263693153858185,
0.09762884676456451,
-0.22658324241638184,
-0.15497371554374695,
-0.39590489864349365,
-0.444869518280029... |
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... | j, T, B, c, A, P, v, v, P, w, 7699, 8033, 8105, 7903, 2479, 6061, 1629, 2101, 9311, 1401, 7823, 8859, 6747, 3521, 7175, 5673, 2315
| 7 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | fs_opt | [
0.2291254848241806,
0.32049089670181274,
0.22265732288360596,
-0.1709510087966919,
-0.03212260454893112,
-0.3234516680240631,
0.4328179359436035,
0.4139493405818939,
-0.6815856695175171,
0.07014840096235275,
-0.9329562187194824,
0.2609771490097046,
-0.2859824299812317,
-0.00818933825939893... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Catalan Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Catalan language. 2)... | CAPITULO XVI | 6 | NIv2 | task1652_opus_books_ca-en_translation | fs_opt | [
0.050299398601055145,
0.7646281123161316,
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-0.6499433517456055,
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-0.352326571941375... |
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.
--------
Question: तपासातील उत्कृष्टतेबाबत केंद्रीय गृहमंत्री पदक :- तपासात अतुलनीय कार्य करणाऱ्या अधिकारी आणि कर्मचाऱ्यांना, यात केंद्रीय, राज्य तसेच केंद्र... | nterconnected दुनिया में ये सभी एक दूसरे से जुड़े हुए हैं।
| 7 | NIv2 | task1082_pib_translation_marathi_hindi | fs_opt | [
-0.023243185132741928,
0.4737488925457001,
-0.00007812143303453922,
0.28715208172798157,
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-0.14856675267219543,
-0.5904735922813416,
-0.07172152400016785,
-0.7776134014129639,
0.1787714064... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
کاملا ثروتمند، آقا؛ اگر نگذارید اینجا با شما زندگی کنم، | If you won't let me live with you, | 0 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
-0.09918974339962006,
1.0734367370605469,
0.12950363755226135,
-0.31884098052978516,
-0.5830498933792114,
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-0.3999834954738617,
0.8209441900253296,
-0.8503901958465576,
-0.19084064662456512... |
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 | task1214_atomic_classification_xwant | fs_opt | [
0.26135173439979553,
0.15130466222763062,
0.33034834265708923,
-0.11000679433345795,
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1.3690623044967651,
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0.025873392820358276,
-0.7218664884567261,
-1.1114921569824219,
0.21797330677509... |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Q: BASEketball is one of the funniest movies I have ever seen. It is an off-the-wall movie starring South park creators Matt Stone and Trey Parker.They play ... | positive | 4 | NIv2 | task284_imdb_classification | zs_opt | [
-0.1583455353975296,
0.24551042914390564,
-0.6555184125900269,
0.11738698184490204,
0.4000234603881836,
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-0.8182724118232727,
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-0.005216778721660376,
-0.6947578191757202... |
Given the task definition and input, reply with output. In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and shoul... | score | 5 | NIv2 | task401_numeric_fused_head_reference | zs_opt | [
-0.6822408437728882,
1.102916955947876,
0.03233886510133743,
-0.23414896428585052,
-0.2606416642665863,
-0.08566506206989288,
0.9763187170028687,
0.49684756994247437,
-0.2824627757072449,
-0.23367349803447723,
-0.8799684047698975,
0.37634313106536865,
-0.505908191204071,
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instruction:
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
question:
Primeiro, tudo está sobrevalorizado em 30 a 50% em relação ao que se paga cá fora, e, segundo, não se ganha muito dinheiro.
answer:
私の仕事はトラックの荷卸しでした食料倉庫で一日中やっていました収入は5.25ドルでした時給ではなく月給ですよ
ques... | 車の生産自体がギーッと急停止しました
| 9 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
0.029634926468133926,
0.15194737911224365,
-0.033249277621507645,
0.032880641520023346,
-0.3501090109348297,
0.04730451852083206,
-0.1568281054496765,
1.3605248928070068,
0.15945950150489807,
-0.4503830671310425,
-0.03326965868473053,
-0.47309014201164246,
-0.9070621728897095,
0.2735081017... |
Detailed Instructions: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Problem:[[6, 35, 23], [47, ... | [4830, 416232, 132300, -1362816, 14002560, -20150, 279936] | 8 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.07374702394008636,
0.22697630524635315,
-0.288407564163208,
-0.6390243768692017,
-0.5259877443313599,
-0.04088292270898819,
1.1891655921936035,
-0.09477091580629349,
-0.27048608660697937,
-0.41562122106552124,
-1.2078973054885864,
-0.05949407070875168,
-0.9512513875961304,
-0.2472230494... |
Teacher: In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though the... | CNN Student News | 2 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
-0.3403514623641968,
0.4144366979598999,
-0.39792507886886597,
-0.0810461938381195,
0.15261949598789215,
0.09854844957590103,
0.20405793190002441,
0.9627498388290405,
-0.2397896945476532,
0.6412370204925537,
0.304954469203949,
0.5348354578018188,
-1.0636754035949707,
0.32800376415252686,
... |
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Q: Topic: Assisted suicide should be a criminal offence<sep>Argument: Allowing ... | True | 4 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
0.10258844494819641,
0.8299168348312378,
0.14778432250022888,
-0.603145956993103,
-0.23084378242492676,
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0.5593841075897217,
0.42009711265563965,
0.4911420941352844,
0.7346817255020142,
-0.32372790575027466,
-0.32503068447113037,
-0.6049832701683044,
0.3849555253982544,... |
In this task your given a passage in Catalan. you must ask a question in Catalan, that is relevant to the passage. A question that is constructed should be precise and based on factual information from the passage. A constructed question should be: (a) unambiguous (b) be directly answerable from the passage (c) have a ... | On s'ubica el claustre?
| 7 | NIv2 | task836_viquiquad_question_generation | fs_opt | [
0.8595778346061707,
0.36894190311431885,
-0.4856416583061218,
-0.11628429591655731,
-0.2108639031648636,
-0.9283415079116821,
0.440887987613678,
0.7587016224861145,
-0.27886632084846497,
-0.17789433896541595,
-0.1184232234954834,
0.46287649869918823,
-0.7665257453918457,
0.6175395250320435... |
Detailed Instructions: In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lis... | [53, 61, 76, 38, -5, 47] | 8 | NIv2 | task207_max_element_lists | zs_opt | [
0.12608954310417175,
-0.27345460653305054,
-0.6163793206214905,
0.2730986177921295,
0.22734619677066803,
0.40160706639289856,
0.8737101554870605,
-0.045122623443603516,
-0.0185103639960289,
0.20007741451263428,
-0.6099066734313965,
-0.08297199010848999,
-0.334231436252594,
-0.1574045419692... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and nou... | Says Bahadur : Its an ongoing process and I am dedicating the year 2001 to collecting musical instruments and tribal head-gear ornaments . | 1 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
0.08469672501087189,
0.44856107234954834,
-0.05608290806412697,
0.4632444977760315,
0.2006101906299591,
-0.30510371923446655,
0.002711488166823983,
0.617570161819458,
-0.29625403881073,
-0.5940059423446655,
-0.7414537668228149,
0.08102138340473175,
-0.2366410195827484,
-0.19723869860172272... |
Given the task definition and input, reply with output. 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. Se... | Neutral | 5 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-1.1700479984283447,
0.1426815688610077,
0.707280695438385,
0.03099459409713745,
-0.10120144486427307,
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1.1522585153579712,
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0.13244923949241638,
0.07288986444473267,
-0.18974071741104126,
-0.2382248193025589,
... |
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. Avoid using... | They want to buy video games. | 3 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | zs_opt | [
-0.5766496658325195,
0.7250980138778687,
-0.1664528250694275,
-0.5629922747612,
-0.09544363617897034,
0.020769169554114342,
-0.3816419839859009,
0.492651104927063,
0.46647191047668457,
-0.46499818563461304,
-0.576407253742218,
-0.5575743913650513,
-0.13321708142757416,
-0.5833214521408081,... |
Q: In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appear... | religion | 7 | NIv2 | task317_crows-pairs_classification_stereotype_type | zs_opt | [
0.06859659403562546,
-0.019582673907279968,
-0.08122770488262177,
-0.1414339244365692,
0.137867733836174,
-0.6214386224746704,
0.2975277304649353,
0.5352249145507812,
0.5259751081466675,
0.5337485074996948,
-0.8223238587379456,
0.15683820843696594,
-0.5121468305587769,
-0.3074074387550354,... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Let me give you an example: Sentence: 'the street light is green in the city'. How many words end with the letter 't' in the sentence.
The answer to this example can be: 2
Here is why: T... | 3 | 8 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.6700824499130249,
0.5749403238296509,
-0.5108766555786133,
-1.0138556957244873,
0.25139665603637695,
-0.7998724579811096,
0.1643969714641571,
0.4108775556087494,
0.11204291880130768,
-0.43852752447128296,
-0.272863507270813,
-0.18079635500907898,
-0.18626320362091064,
-0.459671854972839... |
TASK DEFINITION: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
PROBLEM: Comment: You're ... | Toxic
| 8 | NIv2 | task327_jigsaw_classification_toxic | fs_opt | [
-0.19506078958511353,
0.2487172782421112,
0.34951233863830566,
0.43553653359413147,
0.051191315054893494,
-0.9045374393463135,
0.5131629705429077,
0.9662700891494751,
0.03249012306332588,
0.32352393865585327,
-0.3665381073951721,
-0.054929859936237335,
0.18435655534267426,
-0.5810413956642... |
Detailed Instructions: 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... | de: B-ORG, Volkskrant: I-ORG | 4 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt | [
-0.1773492693901062,
0.08691608160734177,
-0.0166582353413105,
0.0489283911883831,
-0.333568811416626,
-0.41930943727493286,
1.0777374505996704,
-0.15237034857273102,
0.6904488801956177,
-0.3601223826408386,
-0.791590690612793,
0.30524617433547974,
0.23943978548049927,
-0.02093761228024959... |
instruction:
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
question:
إنه تفاعل بين المتطوعين ، المخترعين المتحمسين ، والتكنولوجيا ، وهي قصة يمكن أن يسردها عليكم مكفوفون آخرون.
answer:
Si tratta di un'interazione tra volontari, ideatori appassionati, e la tecnologia ed è ... | Come facciamo a fare il passo successivo?
| 9 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.6665447950363159,
0.2961317002773285,
0.16996128857135773,
-0.5987240076065063,
-0.49247854948043823,
-0.8739776015281677,
0.5399810075759888,
0.44101566076278687,
0.5606322288513184,
-0.5042726993560791,
-0.412729412317276,
0.2686429023742676,
0.021840255707502365,
0.16030225157737732,... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Input: והסיבה לכך היא שהם חושבים שבאמירת הדברים האלה, הם מגנים על בטחון מדינותיהם.
Output: | والسبب وراء قولهم هذا أنهم يعتقدون بالقيام بهذا أو قول هذا ، هم يحمون أمن بلدانهم. | 2 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.30737513303756714,
0.8934260010719299,
0.09264646470546722,
-0.6809794902801514,
-0.3129473328590393,
-0.23940613865852356,
0.9138244986534119,
-0.06147812306880951,
0.9254269003868103,
-0.43760573863983154,
-1.0011953115463257,
-0.08860381692647934,
-0.9217858910560608,
-0.091149434447... |
instruction:
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
question:
Context: Badalan (Persian: بدلان also Romanized as Badalān) is a village in Firuraq Rural Di... | 1
| 9 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
0.7790048122406006,
-0.5046992301940918,
-1.0879466533660889,
0.29210135340690613,
-0.059502795338630676,
-0.5342299342155457,
0.8248515725135803,
0.8741543889045715,
-0.983130693435669,
-0.5052474141120911,
-0.44968143105506897,
0.1789650321006775,
-0.6252967119216919,
-0.2936383783817291... |
A text is given in Marathi. Translate it from the Marathi language to the Oriya language. The translation must not omit or add information to the original sentence.
One example: मी जेथे जात असे तेथे सांडणीच्या दुधाच्या विषयावरून माझी खिल्ली उडवली जात असे, व्यंगचित्रे तयार केली जात असत, कल्पनाही करता येणार नाही अशा वाईट... | ସଡ଼କ ସୁରକ୍ଷା ଉପରେ ହୋଇଥିବା ପ୍ରବନ୍ଧ ପ୍ରତିଯୋଗିତାର କୃତୀ 15 ଜଣ ସ୍କୁଲ ପିଲାଙ୍କୁ ମନ୍ତ୍ରୀ ପୁରସ୍କୃତ କରିଥିଲେ । ପ୍ରଥମ ହୋଇଥିବା 3 ଜଣଙ୍କୁ ଯଥାକ୍ରମେ 15 ହଜାର, 10 ହଜାର ଏବଂ 5 ହଜାର ଟଙ୍କା ସହ ସାର୍ଟିଫିକେଟ ଦିଆଯାଇଥିଲା । | 6 | NIv2 | task1055_pib_translation_marathi_oriya | fs_opt | [
-0.04931958392262459,
0.6296688318252563,
0.0274275504052639,
0.0974062979221344,
0.27536827325820923,
-0.9148775339126587,
-0.11456006020307541,
0.5571476221084595,
-0.38759124279022217,
-0.0827922448515892,
-1.178987979888916,
-0.3608478307723999,
-0.5812042951583862,
-0.2302022278308868... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Example Input: Ma questo modello a spina di pesce usato per la deforestazione è qualcosa che si nota molto nella zona dei tropici, specialmente in questa parte del mondo.
Example Output: しかしこの魚の骨のような森林破壊のパターンは熱帯雨林地域でよく見られ... | そういったものに注意してください
| 3 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
0.2812213599681854,
-0.08002229034900665,
-0.7344921827316284,
0.27020812034606934,
-0.2863449454307556,
-0.41190969944000244,
0.5775068402290344,
0.5323885679244995,
-0.5563219785690308,
-0.4709632992744446,
-0.96855628490448,
-0.034489359706640244,
-0.4199705123901367,
0.3777550458908081... |
You will be given a definition of a task first, then some input of the task.
A text is given in English. Translate it from the English language to the Tamil language. The translation must not omit or add information to the original sentence.
Initiatives like GST and strict action against corruption has helped people d... | எஸ். டி, ஊழலுக்கு எதிரான கடுமையான நடவடிக்கை போன்ற முன்முயற்சிகள் மக்கள் நேர்மையுடன் தொழில் நடத்துவதற்கு உதவி உள்ளது. | 1 | NIv2 | task991_pib_translation_english_tamil | zs_opt | [
-0.367967814207077,
0.3900808095932007,
0.357089102268219,
-0.1790890395641327,
0.34838414192199707,
-1.0358294248580933,
-0.13547393679618835,
0.09769333899021149,
-0.628972589969635,
0.4617950916290283,
-0.012137172743678093,
-0.12175727635622025,
-0.3661413788795471,
-0.1853509843349456... |
Q: In this task, you are given two sets, and you need to count the number of elements at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that are common to bo... | 1 | 7 | NIv2 | task243_count_elements_in_set_intersection | zs_opt | [
0.368691086769104,
0.11467038094997406,
-0.7738420963287354,
-0.2554261088371277,
-0.26903465390205383,
-0.12853576242923737,
0.48872625827789307,
0.19964240491390228,
-0.11306902766227722,
-0.3014598786830902,
-0.8147116899490356,
0.16080129146575928,
0.09863343834877014,
-0.0934193134307... |
Given the task definition and input, reply with output. In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using ... | She loved them. | 5 | NIv2 | task071_abductivenli_answer_generation | zs_opt | [
-0.3803445100784302,
1.1237603425979614,
-0.14411765336990356,
-0.1272396445274353,
-0.533084511756897,
0.24097120761871338,
0.48893406987190247,
0.3574346899986267,
-0.14784058928489685,
-0.4160056710243225,
-0.5671737194061279,
0.5361982583999634,
0.03255587816238403,
0.3567582368850708,... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoy... | positive | 1 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.5356937646865845,
0.29503148794174194,
0.08390539139509201,
0.167626291513443,
0.6229336857795715,
0.13985106348991394,
-0.25405558943748474,
0.47199735045433044,
0.1922421008348465,
0.7267393469810486,
-0.3194604516029358,
-0.39466142654418945,
0.06990537792444229,
-0.5877913236618042,... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
See one example below:
Problem: وقتی به این جامعه های در حال توسعه می روید زنها رکن اصلی اجتماعشان هستند ولی هنوز این مردها هستند که خیابون ها رو در دست دارند.
Solution: Cando chegas a estas sociedades... | A continuación, illamos as células cutáneas...... e multiplicámolas nun medio de cultivo celular. | 4 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-0.7381703853607178,
1.2402026653289795,
-0.5387464165687561,
-0.23619979619979858,
-0.46404343843460083,
-0.5269827842712402,
0.27182701230049133,
1.27338445186615,
-0.22860704362392426,
0.4724624752998352,
-1.2132833003997803,
0.7182149887084961,
-1.0306117534637451,
-0.02079154551029205... |
Teacher:In this task, given a sentence in the English language, your task is to convert it into the Malay language.
Teacher: Now, understand the problem? Solve this instance: The statement asked "the Nation of Islam and the Nation of Arabism to rejoice" about the attacks.
Student: | Kenyataan itu meminta "Negara-negara Islam dan Negara-negara Arab supaya bergembira" dengan serangan itu. | 6 | NIv2 | task553_alt_translation_en_ma | zs_opt | [
0.09561973810195923,
0.45399048924446106,
0.36784350872039795,
-0.8432657718658447,
-0.1418769359588623,
-0.48489370942115784,
0.9282106757164001,
0.19054006040096283,
-0.024967603385448456,
0.17697229981422424,
-0.22642555832862854,
-0.2498953640460968,
-0.5793712139129639,
-0.61567854881... |
Part 1. Definition
In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
Part 2. Example
A herd of sheep standing together grazing in a pasture.
Answer: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
Explanation: The translated sentence... | આ ચિત્રમાં ઝૂમ કરેલ ફ્રન્ટ ડ્રાઈવર બાજુ વ્હીલ અને ડ્રાઇવર વિન્ડો દેખાય છે. | 7 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | fs_opt | [
-0.4927949011325836,
0.22895783185958862,
0.28415754437446594,
0.1582418978214264,
0.0064337002113461494,
-0.5547922849655151,
0.07720726728439331,
0.3817189931869507,
0.04590032249689102,
-0.173458993434906,
-0.7039299607276917,
0.19744694232940674,
-0.29386013746261597,
-0.03562451153993... |
Instructions: Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
Input: Prior studies, all using SPECT techniques, failed to find any differences for dopamine transporter (DAT) in restless legs syndrome (RLS) subjects. The distinct pharmacokin... | Which deficiency is the cause of restless leg syndrome? | 3 | NIv2 | task470_mrqa_question_generation | zs_opt | [
-0.1586647927761078,
0.4046023488044739,
-0.7494490146636963,
-0.4593192934989929,
-0.6484450697898865,
-0.34575706720352173,
-0.07818383723497391,
0.48119568824768066,
0.394348680973053,
-0.1524541974067688,
-0.9558573961257935,
0.7955868244171143,
-0.4245906174182892,
-0.0069381548091769... |
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.... | [-747, 898, 868] | 4 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.6485189199447632,
0.400899201631546,
0.003718486987054348,
-0.3165774345397949,
-0.270630806684494,
0.34469881653785706,
0.973038911819458,
-0.02137734740972519,
-0.4332005977630615,
-0.14867758750915527,
-0.3985787034034729,
0.25046926736831665,
-0.20333242416381836,
0.0098901223391294... |
Given the task definition, example input & output, solve the new input case.
A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
Example: କରାଯାଇଥିବା ଚୁକ୍ତି ଅନୁଯାୟୀ ପାରମ୍ପରିକ ଚିକିତ୍ସା ପଦ୍ଧତି କ୍ଷେତ୍ରରେ ଦୁଇ ଦେଶ... | Ease of Doing Business(EoDB) reforms, ranking of states on EoDB, district level EoDB ranking, regulatory reforms to support startups and lower tax rates for MSMEs, quicker environmental clearances from 600 days to 140 days, abolition of inter-state check-posts after GST, enhanced input tax credits and electronic GST ne... | 1 | NIv2 | task988_pib_translation_oriya_english | fs_opt | [
-0.16836173832416534,
0.5875515937805176,
-0.10095742344856262,
0.5562829375267029,
0.5254918932914734,
-0.5215129852294922,
0.41102132201194763,
1.1444728374481201,
0.30011945962905884,
0.2870638072490692,
-0.8851093649864197,
-0.4264252781867981,
-0.08707021176815033,
0.00641828449442982... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Example Input: Sentence 1: The northerner drew a long thin blade from his belt... | yes
| 3 | NIv2 | task199_mnli_classification | fs_opt | [
-0.2456725835800171,
-0.03940093144774437,
0.3378373384475708,
-0.02721593901515007,
0.25598472356796265,
-0.6709948182106018,
0.5635151863098145,
0.9230628609657288,
0.6073465347290039,
0.5865684747695923,
-0.4573293626308441,
-0.3380372226238251,
-1.1750117540359497,
-0.15370279550552368... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: W pewnym sensie jest też dojrzały.
Student: | 何らかの方法でここまで発展してきました | 6 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-0.053311411291360855,
0.5180877447128296,
0.236107736825943,
-0.9213249087333679,
-0.07178972661495209,
-0.4433068037033081,
0.8403047919273376,
0.4284502863883972,
0.26950758695602417,
-0.569104790687561,
0.26291483640670776,
-0.06308910250663757,
-0.7287150621414185,
-0.3873645663261413... |
Detailed Instructions: In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Q: 1, 1, ['m', '3049', '5131', 'w', 'q', '... | m, 3049, 5131, w, q, r, 8377, 2459, 4001 | 9 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
-0.08870494365692139,
0.3169448673725128,
-0.7202807664871216,
-0.9867302179336548,
-0.7978513240814209,
-0.30895668268203735,
0.5329894423484802,
-0.584996223449707,
-0.026299260556697845,
0.0006239077774807811,
-0.4979928135871887,
-0.2038676142692566,
-0.16904044151306152,
0.27791619300... |
Part 1. Definition
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 inc... | similar pattern | 7 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.6301853656768799,
0.46996867656707764,
0.09460704028606415,
0.1918260008096695,
0.17731869220733643,
-0.4405514597892761,
0.46811994910240173,
0.8402639031410217,
0.7055460214614868,
-0.16269764304161072,
-0.06655259430408478,
-0.17459514737129211,
-0.6953643560409546,
-0.125447496771812... |
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as ... | b | 4 | NIv2 | task231_iirc_link_classification | zs_opt | [
-0.1728159785270691,
0.4796954393386841,
-0.4403994679450989,
0.28810882568359375,
-0.26879656314849854,
0.2572065591812134,
-0.12945127487182617,
1.607696771621704,
0.5332387685775757,
0.7799028754234314,
0.4552793800830841,
0.06619156152009964,
-0.4794735312461853,
-0.35045379400253296,
... |
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.
See one example below:
Problem: Comment: your posts shows you are stupid... | Insult | 4 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.5933703780174255,
0.37434154748916626,
0.529152512550354,
0.054452236741781235,
0.17548274993896484,
-0.6544013023376465,
0.7628986835479736,
0.868750810623169,
-0.1931806057691574,
0.17111173272132874,
-0.10739866644144058,
0.3897770941257477,
-0.8132156729698181,
-0.6469252705574036,
... |
Teacher: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".
Teacher: Now, understand the problem? Solve this instance: Abstract: It has been shown by several investigators that adipocyte num... | yes | 6 | NIv2 | task1587_scifact_classification | zs_opt | [
0.07840516418218613,
0.2765733599662781,
-0.5938672423362732,
0.3393495976924896,
0.013982538133859634,
-0.8795722723007202,
0.14252330362796783,
0.9436390399932861,
0.11739873886108398,
-0.05722609907388687,
-0.047807496041059494,
0.14384105801582336,
-0.43441689014434814,
-0.207131713628... |
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.
One example: Sentence 1: Next to the MGM Grand you will find M and M World. Sentence 2: The cand... | 4 | 6 | NIv2 | task198_mnli_domain_classification | fs_opt | [
-0.7293991446495056,
0.1194247156381607,
0.5092447996139526,
-0.5361507534980774,
-0.07192570716142654,
-0.15915286540985107,
-0.07375586032867432,
0.7930601835250854,
-0.020672528073191643,
-0.5269672274589539,
-0.783645749092102,
-0.31812745332717896,
-0.48354628682136536,
-0.57861906290... |
Part 1. Definition
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easi... | The Blue Spice offers quality Italian cuisine for over 30 lbs near Riverside | 7 | NIv2 | task1409_dart_text_generation | fs_opt | [
-0.194184809923172,
-0.1028442531824112,
-0.3324686884880066,
-0.4512609839439392,
0.3717671036720276,
-0.15381906926631927,
0.3108298182487488,
0.9979701042175293,
-0.36891764402389526,
0.039521224796772,
-0.11996681243181229,
-0.10078327357769012,
-0.18585361540317535,
-0.728134512901306... |
Teacher: You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Isto inclúe un sistema en árabe chamado al-jebra.
Solution: Tra di esse, si annovera il piccolo sistema in arabo detto a... | Passate da 280 a 185, da 140 a 92 metri quadri. | 2 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.44056907296180725,
0.8342145681381226,
-0.35698002576828003,
0.19718219339847565,
-0.8094663619995117,
-1.1555883884429932,
0.603034257888794,
0.8648874759674072,
-1.0428047180175781,
-0.13512808084487915,
-0.4340653717517853,
0.10647951066493988,
-0.9678493738174438,
0.3343993425369262... |
Detailed Instructions: In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
See one example below:
Problem: JkbloNUq, nYblowj
Solution: b, j, k, l, n, o, q, u
Explanation: Here, 'Jkb... | b, c, e, j, k, l, m, o, p, q, s, v, w, x, y, z | 4 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.42685580253601074,
1.3057563304901123,
-0.7746362686157227,
-0.7657501697540283,
-0.054281774908304214,
-0.03113396465778351,
0.9802260994911194,
-0.12163463234901428,
-0.055666543543338776,
0.5281707048416138,
-0.03471546992659569,
-0.11242059618234634,
-0.40945082902908325,
0.22652208... |
Q: In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
مردی را که می بینم ، به من میگوید جذاب هستم. آیا این به این معنی است که او جذب من نشده است؟ <sep> من از او خ... | not-paraphrase | 7 | NIv2 | task465_parsinlu_qqp_classification | zs_opt | [
-0.8175457715988159,
0.9348626136779785,
0.20308849215507507,
-0.5599199533462524,
-0.7792368531227112,
-0.5713111162185669,
1.3662195205688477,
0.2498069405555725,
0.15258216857910156,
-0.26214757561683655,
-0.361089825630188,
0.0340329110622406,
-0.15860265493392944,
0.3083398938179016,
... |
Instructions: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Input: I made my aunt feel devastated.
Output: | female | 3 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.7477903962135315,
0.6735990047454834,
-0.8071854114532471,
-0.5231178998947144,
-0.11820454150438309,
-0.270950049161911,
0.21532857418060303,
0.4345993399620056,
0.5760583281517029,
0.261382520198822,
-1.1019055843353271,
-0.31746649742126465,
-0.8354831337928772,
-0.21288198232650757,... |
Definition: In this task, you must classify if a given review is positive/negative, indicating your answer as P or N.
Input: in this good natured , pleasent and easy going comedy , bill murray ( ghostbusters , 1984 ) plays grumpy weatherman phil conners , who , every year , is sent to punxsutawney , p. a , to report on... | P | 2 | NIv2 | task1361_movierationales_classification | zs_opt | [
0.050730179995298386,
0.12089227139949799,
-0.5031384229660034,
-0.004335349425673485,
0.34575602412223816,
-0.747388482093811,
1.0624401569366455,
0.5282191634178162,
-0.4348318576812744,
0.45037031173706055,
-0.5737382173538208,
0.019373396411538124,
-0.3448951244354248,
-0.0033094447571... |
Definition: In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence de... | the calf near mother on a summer pasture | 2 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.4062572121620178,
-0.08659511059522629,
-0.5151411294937134,
0.13365979492664337,
-0.44661450386047363,
-0.05895359441637993,
0.6751689314842224,
0.7143429517745972,
0.008489353582262993,
-0.06161990016698837,
-0.41287484765052795,
0.08108046650886536,
-0.37222787737846375,
0.3187162280... |
You are given a sentence from a conversation between a human and a virtual assistant. Your task is to identify whether the sentence is a question or not. Answer with Yes or No.
Q: Is there any particular type of food you want, like Chinese, Mexican, or anything else?
A: Yes
****
Q: Thank you. That will be all.
A: No... | No
****
| 4 | NIv2 | task879_schema_guided_dstc8_classification | fs_opt | [
-0.7982268333435059,
0.11198156327009201,
0.8601605892181396,
0.14438164234161377,
-0.41506409645080566,
0.04828435182571411,
0.899836540222168,
0.8187232613563538,
0.2618314027786255,
0.03674077242612839,
0.8117985129356384,
-0.4362017512321472,
-0.12850213050842285,
-0.18115749955177307,... |
Definition: 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 find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will alwa... | 416533077683a69637851l3385L333 | 2 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | zs_opt | [
0.05460198596119881,
0.20866258442401886,
-0.8441377282142639,
-0.6222559809684753,
-0.10121574997901917,
0.008750353008508682,
0.5033248662948608,
-0.216515451669693,
-0.09276749193668365,
0.04772809147834778,
-1.0642976760864258,
-0.056693971157073975,
0.3386033773422241,
-0.099505886435... |
Detailed Instructions: You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Q: Event:PersonX puts PersonY's hea... | bad | 9 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.5979443192481995,
-0.06525692343711853,
0.19450941681861877,
-0.24900302290916443,
-0.35704559087753296,
-1.0009684562683105,
0.9867080450057983,
0.3756069540977478,
0.13849669694900513,
-0.22968176007270813,
0.3603747487068176,
-0.3566301167011261,
-0.5515488386154175,
0.090476557612419... |
Definition: 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).
Input: En consecuencia, a mi juicio, es sumamente importante dedicar la máxima atención al agua que... | In my view, it is, therefore, immensely important to exercise extreme vigilance over the water we all drink and, consequently, to study and approve the provisions referred to here. | 2 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
0.01210557110607624,
0.7560683488845825,
0.26496970653533936,
-0.26215848326683044,
-0.2364930510520935,
-0.7891308665275574,
0.4755290746688843,
0.46070894598960876,
0.372575044631958,
-0.17513705790042877,
0.1047976166009903,
-0.268996000289917,
-0.9009749293327332,
0.10688190162181854,
... |
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.
... | [607, 929, 827, 563, 941, 967, 317]
| 6 | NIv2 | task366_synthetic_return_primes | fs_opt | [
-0.7482757568359375,
-0.058341652154922485,
-0.7261935472488403,
-0.17305587232112885,
-0.12256943434476852,
-0.1314396858215332,
0.2514169216156006,
0.6493269801139832,
-0.5270031690597534,
0.44005659222602844,
-0.9042708873748779,
-0.2434445321559906,
-0.20937319099903107,
-0.16464290022... |
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 fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of ... | VBG | 9 | NIv2 | task584_udeps_eng_fine_pos_tagging | zs_opt | [
-0.10279682278633118,
0.5342389941215515,
-0.038237594068050385,
0.14426162838935852,
-0.1944858729839325,
-0.5088284015655518,
0.7154578566551208,
1.0091865062713623,
-0.5165782570838928,
-0.32665491104125977,
-0.3330560326576233,
0.4144356846809387,
-0.4243766963481903,
-0.01123403850942... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | Solution: A track with bikers racing on it. | 5 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.10602965205907822,
0.4240819215774536,
0.7316486239433289,
-0.33687645196914673,
0.34259748458862305,
-0.557263970375061,
-0.6628313660621643,
0.5500682592391968,
0.1578321009874344,
-0.360298752784729,
-1.2559456825256348,
-0.39798426628112793,
-0.5216150283813477,
-0.49915164709091187... |
Teacher:In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? Solve this instance: अपने प... | Check all close family/friends by the “ wet combing ” method , as described , and treat anyone who is found to have lice at the same time , to prevent re-infection . | 6 | NIv2 | task424_hindienglish_corpora_hi_en_translation | zs_opt | [
-0.11056302487850189,
0.8586486577987671,
0.5108045339584351,
-0.8060002326965332,
0.17167538404464722,
-0.7164528369903564,
0.3886033892631531,
0.9384341239929199,
-0.6976876258850098,
-0.1517469733953476,
-0.06416404992341995,
-0.2527496814727783,
-0.05026250705122948,
-0.296169131994247... |
This task is about identifying the subject of a given sentence. The subject of a sentence is the person, place, or thing that is performing the action of the sentence. The subject represents what or whom the sentence is about. Each sentence in this task is guaranteed to contain a single subject. The input is a sentence... | Solution: Nell McAndrew | 5 | NIv2 | task1411_dart_subject_identification | fs_opt | [
-0.1250201165676117,
0.7673704624176025,
-0.5070458650588989,
-0.2993449866771698,
-0.3011980950832367,
-0.1604587584733963,
0.8159893751144409,
-0.008174975402653217,
0.4213920533657074,
-0.27044326066970825,
-1.0381710529327393,
-0.13927501440048218,
-0.4674791693687439,
-0.2429750263690... |
Detailed Instructions: In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation retu... | -8537 | 8 | NIv2 | task087_new_operator_addsub_arithmetic | zs_opt | [
-0.004243115428835154,
0.5707466006278992,
-1.2579679489135742,
0.1384674608707428,
-0.5836981534957886,
-0.47135674953460693,
0.13516567647457123,
1.747879981994629,
0.6912391185760498,
0.10805992037057877,
-0.37999457120895386,
-0.6163173913955688,
0.41151681542396545,
-0.102980360388755... |
Given the task definition, example input & output, solve the new input case.
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from t... | decreases | 1 | NIv2 | task178_quartz_question_answering | fs_opt | [
-0.43687206506729126,
0.3039582371711731,
-0.20569154620170593,
0.22226081788539886,
0.3521970510482788,
-0.32938092947006226,
0.1813804656267166,
0.8908596038818359,
-0.43738728761672974,
0.05838451534509659,
-0.23000206053256989,
-1.028796911239624,
-0.1721736490726471,
0.107585936784744... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | Yes | 9 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.22544139623641968,
0.27723777294158936,
0.510542631149292,
-0.3949129283428192,
-0.5189030170440674,
-1.1778526306152344,
1.414153814315796,
0.3874373137950897,
-0.44856709241867065,
-0.4174101948738098,
-0.21002650260925293,
-0.23729169368743896,
-0.7395402193069458,
0.21544140577316284... |
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").
While studying the rings in a fossilized tree trunk, a scientist notices a group of rings that are closer together than the other. This means that (A) the trees had... | C | 0 | NIv2 | task1286_openbookqa_question_answering | zs_opt | [
-0.424629271030426,
0.882026195526123,
-0.3976905643939972,
-0.3266794681549072,
-0.7914719581604004,
-1.1841824054718018,
0.8926764726638794,
0.49759966135025024,
-0.6374313235282898,
0.38859981298446655,
-0.7971038818359375,
-1.0611411333084106,
-0.17410318553447723,
0.22377678751945496,... |
Teacher:The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Teacher: Now, understand the problem? Solve this instance: Topic: Assis... | False | 6 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
0.18004968762397766,
0.36296671628952026,
0.2800160348415375,
-0.4283614754676819,
-0.4240644872188568,
-0.8622297048568726,
0.005060071125626564,
0.34153831005096436,
0.23479314148426056,
0.650338888168335,
-0.07952455431222916,
-0.309401273727417,
-0.19293662905693054,
0.0644134879112243... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
何であんなに気持ち良かったか分かりません | Não compreendo porque me senti tão bem a fazê-lo. | 0 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
-0.1955043077468872,
0.48848819732666016,
0.3270670771598816,
-0.03462443873286247,
-0.391601026058197,
-0.6366027593612671,
-0.2053661346435547,
0.6384662985801697,
0.4016367793083191,
0.02281814068555832,
-0.16712495684623718,
-0.16702565550804138,
-0.9030919075012207,
0.3721207976341247... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Persian.
And what they said was, look, fine to protect the city against future tsunamis, we really appreciate, but the next one is going to come in, what,... | و چیزی که اونها گفتن این بود: ببینید ، خیلی خوبه که شهر رو در برابر توفان های آینده حفظ کنیم ، ما ازین استقبال می کنیم. اما توفان بعدی کِی اتفاق میفته ؟ بیست سال دیگه ؟ | 1 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-0.5030462741851807,
1.0352447032928467,
0.13659721612930298,
-0.14137974381446838,
-0.1330767571926117,
-1.0266246795654297,
0.13071832060813904,
0.5242160558700562,
0.1949656903743744,
0.759820818901062,
0.051255133002996445,
0.9489681720733643,
-0.4283146262168884,
-0.5470918416976929,
... |
Teacher:In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN:... | IN WP NN VBZ DT NN WDT VBZ IN NNP NNP NN . | 6 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
0.43565988540649414,
0.026322968304157257,
-0.6511234045028687,
0.4086248576641083,
0.00005469704046845436,
-0.7262301445007324,
1.22869873046875,
0.7292376756668091,
-0.24887216091156006,
-0.4301861524581909,
-0.10423052310943604,
0.5767751932144165,
-0.3653864860534668,
0.294744163751602... |
Given the task definition and input, reply with output. In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
Two of the three plants were dying and are now dead. They all were tiny!!! They are suppo... | True | 5 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
-0.8483970165252686,
0.4527680277824402,
0.2115672081708908,
-0.7046784162521362,
-0.4259933829307556,
-0.5209317207336426,
0.46503424644470215,
0.7625113725662231,
-0.6526151299476624,
0.4490935802459717,
-0.7280391454696655,
0.15341299772262573,
-0.4439800977706909,
0.22089824080467224,
... |
Detailed Instructions: You are given a statement written in Telugu. 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 .
Problem:Statement: గ్రామంలో ప్రభుత్వ ప్రాథమిక పాఠశాల ఒకటి, ప్రైవేటు ప్రాథమిక పాఠశాలలు రెండు,... | చిరుమర్తిలో | 8 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | zs_opt | [
0.14896166324615479,
0.7006337642669678,
0.524348795413971,
-0.6981467008590698,
-0.18289129436016083,
-0.5626252889633179,
-0.05645839869976044,
1.0072250366210938,
0.08735709637403488,
-0.4226163327693939,
-0.061347343027591705,
-0.16303449869155884,
-0.14123091101646423,
-0.050041567534... |
Given the task definition and input, reply with output. Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individua... | I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK | 5 | NIv2 | task130_scan_structured_text_generation_command_action_long | zs_opt | [
0.0667513906955719,
0.7960851192474365,
-0.45553481578826904,
0.42716968059539795,
0.03717193752527237,
-0.004904286935925484,
0.015819750726222992,
0.14438876509666443,
-0.18254700303077698,
-0.32384729385375977,
-0.7051868438720703,
-0.24305689334869385,
-0.41747766733169556,
-0.21425271... |
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Rolando_Maran | club | Calcio_Catania | Rolando Maran is attached to the club Calcio Catania. | 0 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
-0.2543204426765442,
0.9724175930023193,
-1.0392942428588867,
-0.8883057832717896,
-0.8400094509124756,
0.6695939302444458,
1.2175731658935547,
-0.17378978431224823,
-0.31544333696365356,
-0.8706279993057251,
-0.36610937118530273,
0.04485539346933365,
-0.7180491089820862,
0.138565003871917... |
Given the task definition and input, reply with output. In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Beware ! This place swipes your credit/debit cards mul... | NEGATIVE | 5 | NIv2 | task475_yelp_polarity_classification | zs_opt | [
-1.7835636138916016,
0.46936875581741333,
0.12740683555603027,
0.09989968687295914,
0.19709888100624084,
-0.2811160683631897,
0.2961885333061218,
0.6429386138916016,
0.2565110921859741,
-0.03657197207212448,
-0.03664812073111534,
0.18374216556549072,
-0.36843806505203247,
-0.16694454848766... |
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "ac... | acceptable | 0 | NIv2 | task616_cola_classification | zs_opt | [
-0.46814587712287903,
0.66901695728302,
0.19077658653259277,
-0.5225628614425659,
-0.21298331022262573,
-1.04156494140625,
0.7330998182296753,
0.06653482466936111,
0.09146390855312347,
0.21167266368865967,
-0.9297651052474976,
0.13599959015846252,
-0.7412019968032837,
-0.09046514332294464,... |
Given a text passage as input comprising of dialogue of negotiations between a seller and a buyer about the sale of an item, your task is to classify the item being sold into exactly one of these categories: 'housing', 'furniture', 'bike', 'phone', 'car', 'electronics'. The output should be the name of the category fro... | car
| 1 | NIv2 | task767_craigslist_bargains_classification | fs_opt | [
-0.2957990765571594,
-0.48798781633377075,
-0.7531577944755554,
0.3186633586883545,
0.5065937638282776,
0.10068012773990631,
0.6512236595153809,
1.0455896854400635,
-0.49795466661453247,
0.20143191516399384,
0.12204466760158539,
0.5238997936248779,
0.08675257116556168,
0.5223968029022217,
... |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post co... | OFFENSIVE | 9 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-1.1272025108337402,
0.6359351873397827,
0.5524014830589294,
0.5468777418136597,
-0.4163452088832855,
-0.8113925457000732,
0.611137866973877,
0.25609177350997925,
0.6718087196350098,
-0.11794619262218475,
0.378873735666275,
-0.08346764743328094,
-0.4983295202255249,
-0.6111795902252197,
... |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Problem:وزیراعظم کی جانب سے بنگلہ دیش میں چٹانیں کھسکنے سے ہوئے جانی اتلاف پراظہارتاسف
Solution: | ধ্বস নামার কারণে বাংলাদেশে প্রাণহানির ঘটনায় শোক প্রকাশ করেছেন ভারতের প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদী। এই বিশেষ পরিস্হিতিতে বাংলাদেশের পাশে থাকার-ই বার্তা দিয়েছেন তিনি। | 8 | NIv2 | task1070_pib_translation_urdu_bengali | zs_opt | [
0.2781117558479309,
0.5606615543365479,
-0.3883226215839386,
-0.7108112573623657,
-0.655123233795166,
-0.7384881973266602,
0.8187781572341919,
0.18088160455226898,
-0.4039780795574188,
-0.4332493841648102,
-0.641017735004425,
0.22444066405296326,
0.125215545296669,
0.49298661947250366,
0... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, ... | Do [ BONE TRANSPORTATION BY RING TYPE EXTERNAL FIXATOR COMBINED WITH LOCKED INTRAMEDULLARY NAIL FOR TIBIAL NON-INFECTIOUS DEFECT ]? | 0 | NIv2 | task847_pubmedqa_question_generation | fs_opt | [
0.21822397410869598,
0.16654512286186218,
-0.23960137367248535,
-0.15904130041599274,
0.5134432911872864,
-0.3375186026096344,
0.3277019262313843,
0.6722337007522583,
-0.4030909240245819,
0.038612350821495056,
-0.18085336685180664,
0.11214907467365265,
-0.7191365957260132,
0.58026003837585... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you are given a 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 o... | Plural | 0 | NIv2 | task431_senteval_object_count | fs_opt | [
-0.8429743647575378,
0.7624474763870239,
0.18499866127967834,
-0.4989502429962158,
-0.06142622232437134,
-0.34555378556251526,
1.5069770812988281,
-0.21754197776317596,
0.3429832458496094,
-0.6380375027656555,
-0.40455296635627747,
0.14913174510002136,
-0.4129558801651001,
0.16736525297164... |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Q: This thing works perfect and it's very accurate. You just add food ingredients on a plate... | Good Review | 4 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.3652057945728302,
0.1911035031080246,
0.0408986397087574,
0.39363938570022583,
0.23904037475585938,
-0.9380317330360413,
0.6582108736038208,
0.8100879192352295,
0.28819185495376587,
0.19446521997451782,
-0.458173930644989,
-0.140433669090271,
-0.40017151832580566,
0.14308896660804749,
... |
You will be given a definition of a task first, then some input of the task.
A text is given in Malayalam. Translate it from the Malayalam language to the Tamil language. The translation must not omit or add information to the original sentence.
2018 ഏപ്രില് 16 നാണ് ധാരണാപത്രം ഒപ്പുവച്ചത്.
Output: | இந்த ஒப்பந்தம் 16, ஏப்ரல் 2018-ல் கையெழுத்தானது. | 1 | NIv2 | task999_pib_translation_malayalam_tamil | zs_opt | [
0.019537393003702164,
0.9074804782867432,
-0.0009621924255043268,
-0.3038695156574249,
0.04747756943106651,
-0.7856775522232056,
0.6028944253921509,
0.29199591279029846,
-0.17761996388435364,
0.09286165237426758,
0.04889218509197235,
-0.10615174472332001,
0.049645714461803436,
0.2536713778... |
Definition: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Input: Background: The prevalence and risk factors for infection with enteropathogens in dogs frequenting dog ... | Prevalence of Enteropathogens in Dogs Attending 3 Regional Dog Parks in Northern California | 2 | NIv2 | task1161_coda19_title_generation | zs_opt | [
-0.09765757620334625,
-0.07472281157970428,
-0.7746250629425049,
-0.04236961901187897,
-0.058341044932603836,
-0.2322273999452591,
-0.44401559233665466,
0.4879007935523987,
0.0029242336750030518,
-0.2887832522392273,
-0.296428382396698,
1.0518672466278076,
-0.15044818818569183,
-0.21045178... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statemen... | Solution: Appendix II has a detailed discussion of sales. | 5 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.10123409330844879,
-0.021377550438046455,
0.3718037009239197,
0.13163934648036957,
0.25922977924346924,
-0.5409874320030212,
-0.9568923115730286,
0.2625400125980377,
0.11956769973039627,
-0.34245920181274414,
-0.05933595448732376,
-0.5207746028900146,
-0.15881334245204926,
-0.1806720495... |
Detailed Instructions: In this task, you are given music product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Problem:? . What is this compilation have to do with anything? The... | NEG | 8 | NIv2 | task478_cls_english_music_classification | zs_opt | [
-0.09480749070644379,
0.1711631417274475,
-0.7622339725494385,
0.05903477966785431,
0.26526615023612976,
-0.774522066116333,
0.5743737816810608,
0.5451895594596863,
0.02283680997788906,
0.12626774609088898,
-0.31271499395370483,
0.022921673953533173,
-0.24493208527565002,
-0.41784271597862... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to count the number of times the given letter appears in the given sentence.
Sentence: 'a catcher playing baseball in the snow beside a snowman'. Find frequency of the letter 'a'
Output: | 7 | 1 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.8314010500907898,
0.2748207151889801,
-0.6875432133674622,
-0.30804193019866943,
-0.10693401098251343,
0.4300270080566406,
0.4269041121006012,
0.7269397974014282,
0.35803359746932983,
-0.30364444851875305,
-0.9946452975273132,
-0.16831284761428833,
-0.0966266393661499,
-0.03835853189229... |
In this task, you are given one French sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into English.
One example: La LGV est très rare en Europe.
Solution is here: LGV is very rare ... | Hepatitis C | 6 | NIv2 | task1397_europa_ecdc_tm_fr_en_translation | fs_opt | [
-0.697314441204071,
0.6643990278244019,
0.014576703310012817,
0.039344120770692825,
0.023062869906425476,
-0.5404536128044128,
0.23081889748573303,
-0.003005283884704113,
0.09213843196630478,
-0.591632604598999,
-0.38764429092407227,
0.18407456576824188,
-0.5894355773925781,
0.405824840068... |
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 effect, answer with "agai... | for
| 3 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
0.03898340463638306,
0.2748829126358032,
-0.578697681427002,
-0.062184467911720276,
0.10238252580165863,
-0.5516881942749023,
0.185872882604599,
1.0987308025360107,
-0.10934333503246307,
-0.03164125233888626,
-0.4416102170944214,
0.2423192411661148,
-0.4520464241504669,
0.2661583423614502,... |
Q: Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., ... | no | 7 | NIv2 | task115_help_advice_classification | zs_opt | [
-0.37534868717193604,
0.7831728458404541,
0.1148417592048645,
0.03978008031845093,
0.17702966928482056,
-1.6094508171081543,
0.8990931510925293,
0.4807472825050354,
0.047763705253601074,
0.08557621389627457,
-0.15763303637504578,
-0.25958555936813354,
-0.7586642503738403,
-0.13857951760292... |
Q: In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
where are you goimg i'm here my feelings sooo sad
A: | sad | 7 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-1.048471450805664,
0.4398787319660187,
0.715002179145813,
-1.3130629062652588,
0.08303892612457275,
-0.8152167797088623,
0.3104027509689331,
0.5854218006134033,
0.4999510645866394,
0.05517318844795227,
-0.10692048072814941,
-0.25366127490997314,
-0.5290786027908325,
-0.060954175889492035,... |
Instructions: You are given a science question (hard-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is onl... | A | 3 | NIv2 | task229_arc_answer_generation_hard | zs_opt | [
0.8183205127716064,
0.9899274110794067,
-0.9611380100250244,
-0.23711779713630676,
-0.5014160871505737,
-0.9776557683944702,
0.5303637981414795,
0.3227825164794922,
-0.009097270667552948,
-0.5329066514968872,
-1.0127031803131104,
-0.5158038139343262,
-0.15432992577552795,
0.038814447820186... |
Q: You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because ... | emerald be the color of may's birtstone it's a green stem emerald smell like a freshly pick apple it's like a rise that have just bloom it's a baby bird chirp for food emerald taste like a lime popsicle and a green lollipop emerald feel like a warm fleece blanket on a cold night it make me feel calm happy and cheerful | 7 | NIv2 | task1711_poki_text_generation | zs_opt | [
-1.11710786819458,
1.5593304634094238,
0.5982787013053894,
-1.315518856048584,
-0.5565675497055054,
-0.7914702892303467,
0.5409678816795349,
0.8369994163513184,
0.20440685749053955,
-0.13221028447151184,
-0.2948424220085144,
0.75676029920578,
-0.8835353851318359,
-0.007507999427616596,
0... |
Instructions: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Input: ` Matrix ' - style massacres erupt throughout ... but the movie has a tougher time balancing it... | NEG | 3 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-0.23735710978507996,
-0.14049388468265533,
0.25210797786712646,
-0.2637953758239746,
0.053877733647823334,
-0.6230595111846924,
1.4849504232406616,
1.024438500404358,
0.4678412079811096,
0.42234042286872864,
-0.30723464488983154,
-0.6115015745162964,
0.1754360944032669,
0.0858238413929939... |
Instructions: In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian... | name[The Rice Boat], food[Fast food], area[city centre] | 3 | NIv2 | task958_e2e_nlg_text_generation_parse | zs_opt | [
-0.6891043782234192,
0.2890237867832184,
-0.03363959863781929,
-0.020786887034773827,
-0.04835508018732071,
-0.44100332260131836,
0.9146424531936646,
0.4747861921787262,
-0.2423362135887146,
0.11212542653083801,
0.5440750122070312,
-0.9495429992675781,
-0.5816202759742737,
0.07452213764190... |
Given the task definition and input, reply with output. Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, locat... | moral characteristic | 5 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
-0.24344901740550995,
0.5795406103134155,
-0.40314504504203796,
-0.1327105164527893,
-0.07414799928665161,
0.1816127598285675,
-0.023696327582001686,
0.1943625807762146,
0.3843010365962982,
-0.39428597688674927,
-0.15554365515708923,
-0.05457299202680588,
-0.3606899082660675,
-0.3451721370... |
Teacher:In this task your given two statements in Italian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Teacher: Now, understand the problem? Solve this instance:... | effect | 6 | NIv2 | task1173_xcopa_commonsense_cause_effect_it | zs_opt | [
-0.41355806589126587,
0.5390869379043579,
-0.10222221910953522,
-0.5574173927307129,
-0.24117335677146912,
-0.19241806864738464,
0.08609521389007568,
1.2828636169433594,
-0.11047296971082687,
-0.05437241494655609,
-0.6808946132659912,
0.9166188836097717,
-0.722531795501709,
-0.078966706991... |
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, v... | Solution: N | 5 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-0.7425484657287598,
0.44263094663619995,
0.12438347190618515,
-0.32104504108428955,
0.13577187061309814,
-0.02682625874876976,
-0.16185443103313446,
0.8467147350311279,
-0.03385462611913681,
-0.017469916492700577,
-0.5013660192489624,
0.20136861503124237,
-0.5032919049263,
-0.127893462777... |
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