inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Given a sentence in French, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
L'amitié entre lui et Duncan a pris fin lors d'une réunion de club en 1951 lorsque les deux hommes se sont opposés lors d'une réunion annuelle et Duncan a r... | 그와 던컨의 우정은 1951 년 클럽 회의에서 끝났는데, 두 사람이 연례 회의에서 동의하지 않았을 때 던컨 (Duncan)은 Greaves가 다음과 같이 말했습니다 : | 0 | NIv2 | task790_pawsx_french_korean_translation | zs_opt | [
-0.16004148125648499,
1.4065165519714355,
-0.03469815477728844,
-1.4631953239440918,
0.03357357531785965,
-0.7743082642555237,
0.31034427881240845,
-0.7668287754058838,
0.5215747356414795,
-0.11554092168807983,
-0.0029402561485767365,
-0.11804187297821045,
-0.3094821274280548,
0.0830755829... |
Detailed Instructions: Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Problem:Eighteen year-old Eri Yoshida, known as the Knuckleball Princess, in 2010 became the first Japanese woman to play in the US professional ... | baseball | 8 | NIv2 | task898_freebase_qa_answer_generation | zs_opt | [
0.23503632843494415,
0.4774443507194519,
-0.41356682777404785,
-0.05715073645114899,
-0.5249289274215698,
-0.21667489409446716,
0.43302056193351746,
-0.08748707175254822,
0.5094922780990601,
-0.3259948492050171,
-0.4764614701271057,
0.6236141920089722,
-0.5906130075454712,
-0.0131653957068... |
Given scene/plot descriptions from movies or TV shows, and given a specific question about the scene, summarize the question into a title
I recently learned about a twist ending, a twist in a plot that happens near the end of a film. If a twist ending happens near the end of a series of films, is it still called a tw... | Why would Mike need a part time job as a PI for Saul?
| 0 | NIv2 | task1638_doqa2.1_movies_text_summarization | fs_opt | [
-0.3361714482307434,
0.22523391246795654,
-0.7331830263137817,
0.5361062288284302,
-0.3059835135936737,
-0.4200375974178314,
0.16447719931602478,
0.8494071960449219,
0.17901058495044708,
0.2384408414363861,
0.36406752467155457,
0.29962629079818726,
-0.8271650671958923,
0.6257215142250061,
... |
Part 1. Definition
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Part 2. Example
Context: Our prayers are with the students, educators & families at Independence High School & all the first respo... | nyu | 7 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
-0.16193722188472748,
0.5148246884346008,
0.26208269596099854,
-0.7759714126586914,
-0.047586239874362946,
-0.5863069891929626,
0.5771527886390686,
0.005170025862753391,
0.3079724907875061,
0.36537835001945496,
-0.6507329940795898,
-0.05359099805355072,
-0.514805018901825,
-0.2277537286281... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Q: امروز میخواهم به شما نوع جدیدی از نقشه را نمایش دهم.
A: 今日は新しい種類の地図をご紹介します
****
Q: تنوع رفتاری خیلی کم میشه.
A: 余裕はほとんどありません
****
Q: این رشته ی بلند اعداد و حروف در اینجا یک نشانگر یکتاست که به هریک تغییر چِفت شده ، ... | この長い英数字の列は個々の変更に割り当てられた固有の識別子でこれは中央での調整なしに行われます
****
| 4 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
-0.7751745581626892,
0.3516048789024353,
-0.2524312138557434,
-0.52986079454422,
-0.5518848896026611,
0.09497025609016418,
0.7829378843307495,
0.17535844445228577,
0.5325628519058228,
-0.43698060512542725,
-0.8761672973632812,
0.0500701479613781,
0.17553062736988068,
0.4662707448005676,
... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
كان باستطاعتى القيام بشئ. | I could have done something. | 0 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
0.566870927810669,
1.003420114517212,
0.7578040361404419,
-0.4211415648460388,
-0.1809520572423935,
-0.07436032593250275,
0.640548586845398,
0.5596082210540771,
0.8717477321624756,
0.07280291616916656,
-0.59063720703125,
0.35850441455841064,
-0.6629459261894226,
0.45552533864974976,
0.44... |
Given a sentence in Vietnamese, generate a new Vietnamese 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 o... | Nếu bạn muốn mua sắm sau đó bạn nên sở hữu của một... | 8 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | fs_opt | [
0.4123779237270355,
-0.04223596304655075,
-0.11258523166179657,
0.1597953736782074,
-0.012376551516354084,
-1.143533706665039,
0.3101250231266022,
1.2377995252609253,
-0.12465491145849228,
0.0897870659828186,
-0.840640664100647,
0.09752455353736877,
-0.5036084651947021,
-0.200002521276474,... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
اجازه بدهید نگاهی به عملکرد آن بیندازیم.
A: | Botemos unha ollada máis de preto. | 7 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-1.4236738681793213,
1.3740102052688599,
-0.03983689472079277,
-0.7744382619857788,
-0.25192371010780334,
-0.037764016538858414,
0.6261532306671143,
0.14795447885990143,
0.3046664893627167,
-0.3755061626434326,
-0.36292654275894165,
0.18312537670135498,
-0.413169264793396,
0.53367376327514... |
In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
The RTI40 gene spans 35 kilobase pairs ; it contains 6 exons and at least 6 rat Identifier repetitive elements .
RTI40 gene
Upstream of t... | egr - 1
| 0 | NIv2 | task1481_gene_extraction_bc2gm_dataset | fs_opt | [
-0.1602613776922226,
0.37996935844421387,
-0.1078677549958229,
0.47727304697036743,
-0.40485119819641113,
-0.3722195327281952,
0.44156891107559204,
0.05015123635530472,
-0.0044465623795986176,
-0.3834725618362427,
-0.8941175937652588,
0.8109656572341919,
-1.160764217376709,
0.9168343544006... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
Ex... | joy
| 1 | NIv2 | task1662_cedr_ru_classification | fs_opt | [
-0.8229738473892212,
-0.5281153321266174,
-0.11361844092607498,
-0.3057013750076294,
-0.6244208812713623,
-0.08923410624265671,
0.23311665654182434,
1.0424569845199585,
0.31980082392692566,
-0.12972930073738098,
-0.2465762495994568,
-0.303608238697052,
0.2976726293563843,
0.322521805763244... |
Q: In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversion" b... | Inversion | 7 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
-0.16229882836341858,
0.8756762742996216,
0.1277201920747757,
0.0017520685214549303,
0.27928486466407776,
-0.6914824843406677,
0.4500870108604431,
1.0293511152267456,
0.05161605775356293,
-0.20282752811908722,
-0.4475767910480499,
-0.8674830794334412,
-0.9000959396362305,
-0.48574322462081... |
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social ca... | yes | 6 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
-0.21967999637126923,
0.003375664819031954,
0.3144688010215759,
0.558175802230835,
-0.05042306333780289,
-0.32586991786956787,
0.45221567153930664,
1.1610913276672363,
0.055244602262973785,
0.5684465169906616,
0.5787771344184875,
-0.24511802196502686,
0.05423596501350403,
-0.69458597898483... |
Given the task definition and input, reply with output. Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
If America has always been this racist country why didn’t... | Not Hope Speech | 5 | NIv2 | task679_hope_edi_english_text_classification | zs_opt | [
0.02781403623521328,
0.5065566897392273,
0.7428232431411743,
0.03222747892141342,
-0.4781796336174011,
-0.544952929019928,
0.38098692893981934,
0.886132538318634,
0.3634369969367981,
0.4849068820476532,
-0.21922239661216736,
-0.0164050180464983,
0.02304966375231743,
-0.1186462864279747,
... |
Teacher: Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try... | Chick - Fil - A is kid - friendly . | 2 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
0.1958157867193222,
0.27583956718444824,
0.0781705304980278,
0.5233783721923828,
-0.22940918803215027,
-0.6525532007217407,
0.5892999172210693,
0.5211588144302368,
-0.3981267213821411,
-0.7485038638114929,
0.07449088990688324,
-0.4118524491786957,
-0.1896500289440155,
0.11097467690706253,
... |
Teacher:In this task you are given a short story and a question regarding that story. You must answer the question based on the events of the story. Try to use the same words in the story to answer each question. You should completely answer the question in a short answer. Do not include information that is unnecessary... | the man wanted to do something adventurous. | 6 | NIv2 | task332_tellmewhy_answer_generation | zs_opt | [
0.08842620998620987,
0.43566930294036865,
0.2949294447898865,
-0.7423310279846191,
-0.25605010986328125,
-0.6644643545150757,
1.3056395053863525,
0.400458961725235,
-0.15092909336090088,
-0.6580361127853394,
-0.6565747261047363,
0.025425422936677933,
-1.0561738014221191,
0.1131652817130088... |
Teacher:In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Teacher: Now, under... | 1 | 6 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.4709075689315796,
0.7148204445838928,
0.21099026501178741,
0.03903990983963013,
-0.3270793557167053,
-0.40365421772003174,
0.13301023840904236,
0.31600385904312134,
0.004751881584525108,
-0.25946924090385437,
-0.44820934534072876,
0.0742122158408165,
-0.5228873491287231,
-0.225441485643... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | Yes | 3 | NIv2 | task1212_atomic_classification_hasproperty | zs_opt | [
0.4681040942668915,
-0.11465705186128616,
0.22276374697685242,
0.01613861322402954,
-0.35086238384246826,
-0.6088323593139648,
0.9391940832138062,
0.5217187404632568,
-0.6154508590698242,
-0.09670906513929367,
-0.37322378158569336,
-0.307528555393219,
-0.48261359333992004,
0.04504091292619... |
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 an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corre... | B | 0 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | fs_opt | [
0.04606138914823532,
0.5628991723060608,
-0.3503376245498657,
-0.44638413190841675,
0.22559162974357605,
-0.7263333201408386,
0.6267492771148682,
0.6099774837493896,
-0.08240100741386414,
0.8217794895172119,
-0.3897261917591095,
0.1445460319519043,
0.02737845480442047,
-0.4506952166557312,... |
This task is about translating a given Spanish language sentence to English.
[EX Q]: CO:
[EX A]: CO:
[EX Q]: Los módulos populares que has estado usando, están probablemente ya listos o son parte de Drupal 7.
[EX A]: Popular modules you've been using are probably already available or part of Drupal 7 itself.
[EX Q]:... | I have spoken a lot about population growth.
| 6 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.6806492805480957,
0.7480466365814209,
0.1219070628285408,
-0.4890969693660736,
-0.6892358660697937,
-1.4356982707977295,
0.6562160849571228,
1.445303201675415,
-0.14432458579540253,
-0.512300968170166,
0.3829007148742676,
0.7049976587295532,
-0.5721819400787354,
0.14002685248851776,
-... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Q: E despois os asfaltenos — e isto é un asunto crucial — os asfaltenos son batidos polas ondas ata convertérense nunha emulsión cremosa, como a maionesa.
A: | And then the asphaltenes — and this is the crucial thing — the asphaltenes get whipped by the waves into a frothy emulsion, something like mayonnaise. | 9 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
0.6686163544654846,
0.7600864171981812,
-0.3504601716995239,
-0.2922540307044983,
-0.13944876194000244,
-1.5648390054702759,
-0.49081915616989136,
0.843707263469696,
-0.6498382687568665,
0.3004135489463806,
-0.34845876693725586,
-0.03703075647354126,
-0.39865565299987793,
-0.18033614754676... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
Example: PersonX does PersonX's job well
Example solution... | Solution: happy | 5 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.04392171651124954,
0.6329408288002014,
0.05403013899922371,
-0.7181686162948608,
-0.2564893364906311,
-0.5466810464859009,
1.277967095375061,
0.7500391006469727,
0.23277895152568817,
-0.5447767376899719,
0.054947689175605774,
-0.06918545067310333,
-0.7074311375617981,
0.2865507900714874... |
Detailed Instructions: In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the... | agent: Thanks for contacting us. | 8 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.2155981957912445,
0.5833325386047363,
-0.45179569721221924,
-0.575595498085022,
0.00498005747795105,
-0.260650634765625,
0.6306127309799194,
-0.04728696122765541,
-0.16329196095466614,
0.38667720556259155,
0.09794111549854279,
0.056516651064157486,
-0.40294206142425537,
0.23701003193855... |
TASK DEFINITION: Given a text passage, come up with an appropriate title for it. The title should accurately represent what the main focus of the passage is. The title of a passage may be present in the first few sentences of the passage and/or be referred to multiple times in the passage. The title should be 1-5 words... | Ram Nath Kovind
| 8 | NIv2 | task769_qed_summarization | fs_opt | [
0.15880902111530304,
0.030628006905317307,
-0.2242770791053772,
0.23321476578712463,
0.37792956829071045,
0.4474989175796509,
1.2150235176086426,
0.25637274980545044,
-1.0969276428222656,
0.447130411863327,
-0.7886233329772949,
0.7632230520248413,
-0.7965677380561829,
0.10142187774181366,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
フランスのパリ、パルク・デ・プランスで行われた2... | "Ito ay naging isang madamdaming araw ngayon, pero sa termino ng aking tatlong buwan sa pangangalaga, ito'y naging isang napakagandang karanasan." | 0 | NIv2 | task1118_alt_ja_fil_translation | fs_opt | [
-0.01890360191464424,
0.4556385278701782,
-0.6235004663467407,
0.1817055344581604,
-0.09510531276464462,
-0.3980448842048645,
0.8642536401748657,
0.42856940627098083,
0.007816281169652939,
-0.5767666101455688,
-1.2063257694244385,
0.500931441783905,
-0.3156698942184448,
0.8691438436508179,... |
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.
Q: GKlqQZvSV, rjlqQZyD
A: | g, k, l, q, s, v, z | 4 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | zs_opt | [
-0.746330201625824,
1.8932831287384033,
0.517733097076416,
-0.7160710096359253,
0.009883497841656208,
0.4736989736557007,
1.0566303730010986,
-0.9410269260406494,
-0.6787148714065552,
-0.17188072204589844,
-0.2530120611190796,
-0.3783062696456909,
-0.008694705553352833,
0.48500701785087585... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Let me give you an example: Category: EVERYBODY TALKS ABOUT IT...
Clue: In the winter of 197... | denver | 8 | NIv2 | task305_jeopardy_answer_generation_normal | fs_opt | [
-0.3826231360435486,
0.2846983075141907,
-0.39166951179504395,
-0.09187101572751999,
-0.02201210707426071,
-0.8659213781356812,
-0.1745838075876236,
0.6558334231376648,
0.12856817245483398,
-0.08823180198669434,
0.07730349898338318,
-0.17706294357776642,
-0.48911958932876587,
0.43130278587... |
A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: ਚਾਂਦੀਖੋਲ ਅਤੇ ਪਦੁਰ ਵਿੱਚ ਐੱਮਸਪੀਆਰ ਦੇ ਨਿਰਮਾਣ ਪਡ਼ਾਅ ਦੌਰਾਨ ਓਡ਼ੀਸਾ ਅਤੇ ਕਰਨਾਟਕ ਰਾਜਾਂ ਵਿੱਚ ਪ੍ਰਤੱਖ ਅਤੇ ਅਪ੍ਰਤੱਖ ਰੋਜ਼ਗਾਰ ਦੇ ਢੁਕਵੇਂ ਅਵਸਰਾਂ ਦੀ ਸਿਰਜਣਾ ਦੀ ਉਮੀਦ ਹੈ।
A: | சாண்டிகோல் மற்றும் பாடூரில் இந்த எஸ் பி ஆர்-களுக்கான கட்டுமானப் பணி நடைபெறும் போது ஒடிசா மற்றும் கர்நாடகா மாநிலங்களில் குறிப்பிடத்தக்க நேரடி மற்றும் மறைமுக வேலைவாய்ப்புகள் உருவாகும். | 4 | NIv2 | task1015_pib_translation_punjabi_tamil | zs_opt | [
-0.38617998361587524,
0.8437188863754272,
0.3048200309276581,
-0.12988455593585968,
-0.25879228115081787,
-0.8007727265357971,
-0.3419990837574005,
0.11052004992961884,
-0.36751869320869446,
0.5463082194328308,
-0.5045385956764221,
-0.8317224979400635,
-0.134208083152771,
0.115853540599346... |
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the inde... | Solution: (2, 3) | 5 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.24128252267837524,
0.32492923736572266,
-0.021916931495070457,
-0.8871029615402222,
-0.04987452179193497,
0.09967167675495148,
0.28168755769729614,
0.2740124464035034,
0.2643619477748871,
-0.2034941166639328,
-0.12624651193618774,
-0.33921879529953003,
-0.3884478509426117,
0.05868404731... |
Instructions: In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Input: Eddie Morra (Bradley Cooper), a struggling author suffering from writer's block, living in New Yo... | Answer: On the Brooklyn Bridge. | 3 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.6901795864105225,
0.42086124420166016,
-0.05229261517524719,
-0.54079270362854,
0.3721332848072052,
0.49214762449264526,
1.049403190612793,
1.127465844154358,
0.019232846796512604,
-0.09725511074066162,
-0.21037864685058594,
0.15100334584712982,
-0.509160041809082,
0.2763468027114868,
... |
Part 1. Definition
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based o... | Original | 7 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.05928714573383331,
0.031694889068603516,
0.5657205581665039,
0.5587887763977051,
0.1474665105342865,
-0.07379001379013062,
1.0129122734069824,
0.149542897939682,
0.4818491041660309,
-0.5182021856307983,
-1.0006351470947266,
-0.6507112383842468,
-0.7535063624382019,
-0.022419990971684456... |
Teacher:You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given optio... | Option B | 6 | NIv2 | task750_aqua_multiple_choice_answering | zs_opt | [
-0.7363421320915222,
-0.8040037155151367,
-0.11439532786607742,
-0.4876565933227539,
0.3759980797767639,
-0.5947180986404419,
-0.4726262092590332,
0.7355631589889526,
0.39951497316360474,
-0.06935590505599976,
-0.6395144462585449,
0.08408860862255096,
-0.07307377457618713,
-0.4130181670188... |
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Example Input: A campaign has been started to restore a huge glass memorial to Winston ... | Erewash River oil spill clean-up starts
| 3 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.2068653702735901,
1.0706095695495605,
0.24943792819976807,
-0.6158149242401123,
0.17554570734500885,
-1.421931505203247,
0.7327106595039368,
0.022667616605758667,
0.03617892414331436,
0.093222975730896,
0.2604060769081116,
0.6552664041519165,
-0.02381996437907219,
-0.683390736579895,
... |
This task is about translating a given English language sentence to Yoruba language.
Example: While you should not share legal advice to others based on course content, you will develop a high level of expertise upon completion of this course.
Example solution: Bí ó ti jẹ́ wí pé o kò leè fún ẹnikẹ́ni nímọ̀ràn ajẹmófin ... | Solution: Déètì: July 19-21, 2019 | 5 | NIv2 | task1685_menyo20k_translation | fs_opt | [
-0.30693429708480835,
0.5166476964950562,
0.42242181301116943,
-0.31528931856155396,
-0.3518383502960205,
-0.13197308778762817,
-0.007517034653574228,
0.46777576208114624,
-0.10831904411315918,
-1.2600255012512207,
0.21937142312526703,
0.49305444955825806,
-1.130096435546875,
0.63489961624... |
Detailed Instructions: Given a sentence in the English language, translate it into the Nepali language.
See one example below:
Problem: Text: If the research problem is not clear then review of literature can help focus on the problem.
Solution: अथवा शोध समस्याबारे स्पष्ट हुन सकिरहेको छैन भने साहित्यको अवलोकन र पुनरा... | यदि सबै ग्रहहरू वा केही ग्रहहरू राहु वा केतुका साथमा रहेको भएमा पनि अंशात्मक रूपमा राहु र केतुको बीचमा सबै ग्रहहरू परेकै हुनुपर्दछ ।
| 4 | NIv2 | task1514_flores_translation_entone | fs_opt | [
-0.6564203500747681,
0.5630583763122559,
0.13294191658496857,
-0.709179162979126,
-0.5954707860946655,
-0.814694881439209,
1.531103491783142,
-0.2138524353504181,
0.18034249544143677,
-0.1937301754951477,
-0.37499910593032837,
-0.08157839626073837,
-0.8259940147399902,
0.6574161648750305,
... |
Given a text, write a compressed version of it in a single sentence.
Example: Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, " says APA president Philip G. Zimbardo of Stanford University.
Example solution: "Except for this small vocal minority, we have not... | Solution: In 1839, the governor of Singapore sent James Brooke (1803-1868) to promote trade links with the Sultan of Brunei. He had been an cavalry officer in the Anglo-Burmese wars. | 5 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.4725804924964905,
0.6827987432479858,
0.4304632842540741,
-0.5604555606842041,
0.06974141299724579,
-1.7188751697540283,
0.49415141344070435,
0.11410608887672424,
-0.030538801103830338,
0.5163320899009705,
-0.19776369631290436,
0.593762218952179,
-0.42126336693763733,
-0.107189804315567... |
Given the task definition and input, reply with output. Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
彼女は、何週間ものあいだ農家が抗議を表明してきたルクセンブルグのＥＵ農業会議で「私はポケットを空にする」が、それは自分に提供できる最大のことで、「私はスイスにも他のどこにも特別な... | Sinabi niya na, "ibibigay niya ang lahat ang laman ng kaniyang bulsa," ngunit iyon ay hangga't makakaya niyang maibibigay; "wala akong espesyal na akaunt sa Switzerland o kahit saan pa man," siya ay nagkomento na ang pagpupulong ng bukirin ng EU sa Luxembourg pinagdarausan ng mga magsasaka ng pangatlong protesra sa loo... | 5 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
-0.4529418647289276,
0.271212100982666,
-0.17662233114242554,
-0.31409013271331787,
-0.31142663955688477,
-0.019709229469299316,
0.6873191595077515,
0.18508760631084442,
-0.08364251255989075,
-0.33833613991737366,
-0.6806355118751526,
0.8550201654434204,
-0.7708017826080322,
0.552750349044... |
Teacher:A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: ਭਾਰਤ ਵੱਲ ਵੇਖਣ ਦਾ ਨਜ਼ਰੀਆ ਬਦਲ ਗਿਆ।
Student: | ഇന്ത്യയേക്കുറിച്ചുള്ള അവരുടെ പരിപ്രേക്ഷ്യവും മാറി. | 6 | NIv2 | task1006_pib_translation_punjabi_malayalam | zs_opt | [
0.7430791854858398,
0.4273456931114197,
0.4301864206790924,
-0.7134979963302612,
-0.4601339101791382,
-0.7340273857116699,
0.6851112842559814,
0.4619516432285309,
0.25024229288101196,
-0.13191483914852142,
-0.47729355096817017,
-0.6892622709274292,
-0.20939265191555023,
-0.2491228580474853... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following exam... | 9 | 2 | NIv2 | task198_mnli_domain_classification | fs_opt | [
-0.1984357237815857,
-0.06272316724061966,
0.37832140922546387,
-0.2919480800628662,
0.028385525569319725,
-0.26367729902267456,
-0.08573582768440247,
0.8831009268760681,
-0.39206546545028687,
-0.20202592015266418,
-0.39187800884246826,
-0.35780835151672363,
-0.13891202211380005,
-0.874957... |
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".
Q: WOW! I am a PEPSI-holic and was gaining weight as you can imagine. A little 85 year old woman introduced me to your tea HOT. AND now with jus... | False | 4 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
0.247249037027359,
-0.23298117518424988,
-0.018181268125772476,
-0.31450051069259644,
-0.19258421659469604,
-1.311924934387207,
0.8313758373260498,
0.27920103073120117,
0.29123303294181824,
-0.13626518845558167,
-0.5190269947052002,
-0.6286248564720154,
-0.8449314832687378,
-0.040859207510... |
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 conversation between a flight agent and the customer. You are given 4 options and you need to select the goal of the conversation. It is provided as part of customer's c... | no_reservation | 0 | NIv2 | task573_air_dialogue_classification | fs_opt | [
0.7452993988990784,
-0.055378034710884094,
-0.19802787899971008,
-0.5498305559158325,
0.865400493144989,
-0.5078939199447632,
1.5913262367248535,
0.6095988154411316,
-0.4214743971824646,
0.2648202180862427,
0.41347020864486694,
-0.4373742341995239,
-0.7406867742538452,
-0.03622334077954292... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example: Japanese: 詳細は昨日UTC17時3... | Yes | 1 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt | [
0.07386665791273117,
-0.316116064786911,
-0.28105494379997253,
0.3951149582862854,
0.6542316675186157,
-0.2396240085363388,
0.6187663078308105,
0.33705636858940125,
-0.46650877594947815,
0.10458669811487198,
-0.013086467981338501,
0.3064482510089874,
0.010381361469626427,
0.383479177951812... |
In this task, you are given Wikipedia articles on a range of topics, we ask you to write a question based on the content of the articles that can be answered in a binary manner i.e. True or False.
[EX Q]: Bullsnake -- The bullsnake (Pituophis catenifer sayi) is a large non-venomous colubrid snake. It is currently cons... | has a mlb game ever ended in a tie
| 6 | NIv2 | task1660_super_glue_question_generation | fs_opt | [
0.3344622254371643,
0.07021165639162064,
-0.8750014305114746,
0.3624303936958313,
-0.26121219992637634,
-0.30324438214302063,
0.7108452320098877,
0.12507881224155426,
0.056882329285144806,
-0.0007452573627233505,
-0.2364371418952942,
0.3057093620300293,
-0.6196943521499634,
-0.499720752239... |
Teacher: In this task, you have given an input which is agent's reply, based on that you have to identify what will be users' command for that reply. The user generally asks a question related to event scheduling or information of the scheduled events. Agent reply based on the available information or do the task as pe... | do you see any appoinments next week? | 2 | NIv2 | task1600_smcalflow_sentence_generation | fs_opt | [
-0.06925667822360992,
-0.775197446346283,
-0.1655404269695282,
-0.569013237953186,
0.07138772308826447,
-1.044996976852417,
0.7149673700332642,
-0.09255610406398773,
0.25990092754364014,
0.005105276592075825,
0.13788190484046936,
-0.06386685371398926,
-1.0296926498413086,
0.393823385238647... |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Let me give you an example: Sentence: 'a hot dog in a bun with ketchup on a plate with french fries'. How many words start with the letter 'a' in the sentence.
The answer to this examp... | 1 | 8 | NIv2 | task162_count_words_starting_with_letter | fs_opt | [
0.12222498655319214,
0.09627938270568848,
0.0718362033367157,
-0.4981890320777893,
-0.5292725563049316,
-0.01722961850464344,
0.28007951378822327,
0.32881271839141846,
0.29577237367630005,
-1.1884315013885498,
-0.488092839717865,
-0.3566261827945709,
0.3439805507659912,
-0.0784583687782287... |
In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
[Q]: Sentence: The laborer greeted th... | Mover
| 5 | NIv2 | task342_winomt_classification_profession_pro | fs_opt | [
-1.4461803436279297,
0.6856468915939331,
-0.275637686252594,
-0.8119481801986694,
0.05038752406835556,
-0.1725880354642868,
0.030649106949567795,
0.7303619384765625,
0.9740061163902283,
0.009763086214661598,
-0.9405612349510193,
0.16483917832374573,
-0.1150861456990242,
-0.2476043403148651... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Example input: Who was the first American President?
Example output: president of the united states
Example explanation: The question talks about the president of the USA.
Q: In which country is ... | uluru | 3 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
1.0643213987350464,
0.9539185166358948,
0.1475493460893631,
0.6203324794769287,
-0.6329427361488342,
-1.02655827999115,
0.8541395664215088,
0.6901687383651733,
0.2991975247859955,
0.31116753816604614,
-0.36338406801223755,
0.234686940908432,
-0.5471333265304565,
0.023383470252156258,
0.1... |
Q: 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.
[[-21, -33, -33, 31, 26], [1, 17, 36, -44], [-1... | [-18432414, -26928, -650, -12, -25480, 59400, -3532800, 87480] | 7 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.4976113438606262,
0.34705764055252075,
-0.27696430683135986,
-0.16758263111114502,
0.06119382381439209,
-0.6632130146026611,
1.3283910751342773,
-0.02020849846303463,
-0.1087556853890419,
-0.22466066479682922,
-0.7661436796188354,
0.325435072183609,
-0.7902907133102417,
-0.0531669333577... |
Generate a correct and concise answer for the question based on the words in the context.
Q: Context : Apache Forrest is a web-publishing framework based on Apache Cocoon.
Question : The Apache Forrest is based upon what?
A: | Apache Cocoon | 4 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
1.5028882026672363,
0.28045743703842163,
0.24407514929771423,
0.01811257377266884,
-0.9502996802330017,
-0.692939281463623,
1.1958732604980469,
0.4064016342163086,
0.09968462586402893,
-0.3524966537952423,
-0.17766080796718597,
-0.08617067337036133,
-0.7999752759933472,
0.62249755859375,
... |
instruction:
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 tran... | Kako je moguće da se ove promjene događaju, ali mi nismo njih svjesni?
| 9 | NIv2 | task1365_opustedtalks_translation | fs_opt | [
-0.32377225160598755,
0.6039088368415833,
-0.26400041580200195,
0.21101762354373932,
-0.12770311534404755,
-0.7560528516769409,
0.6920859813690186,
0.10931194573640823,
-0.41572338342666626,
-0.11679062247276306,
0.17863517999649048,
0.5625337362289429,
-0.6236273050308228,
0.1423132419586... |
The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced letter in a ... | ekephant | 3 | NIv2 | task088_identify_typo_verification | fs_opt | [
-1.1029400825500488,
0.18011656403541565,
0.48855677247047424,
0.8393208980560303,
-0.050578538328409195,
-1.6609529256820679,
0.4511522948741913,
0.2010398507118225,
-0.37858298420906067,
0.0282778050750494,
-0.2156440168619156,
0.0377962701022625,
-0.7337709665298462,
-0.1280883848667144... |
Given the task definition and input, reply with output. 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.
[-129, 566, 159, -248, 12, 954, 389, 487]
| [-130, 570, 160, -250, 10, 950, 390, 490] | 5 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.5391262769699097,
0.6691892147064209,
0.1110016405582428,
-0.228081613779068,
-0.3864881992340088,
0.056398339569568634,
0.7654778957366943,
-0.4817914366722107,
-0.31428462266921997,
0.23111766576766968,
-0.7459884285926819,
0.3441670536994934,
-0.2898964285850525,
0.18424345552921295,... |
Teacher:In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? Solve this instance: And she conceived again, and bare a son: and she said, Now will I praise the LORD: therefore she called his name Judah; and left bearing.
St... | آنگاه غضب یعقوب برراحیل افروخته شد و گفت: «مگر من بهجای خدا هستم که بار رحم را از تو باز داشته است؟» | 6 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
-0.8097462058067322,
0.947023868560791,
-0.3913261294364929,
0.0905466377735138,
-0.6294127106666565,
-0.19299939274787903,
0.30747783184051514,
0.7166945934295654,
0.33212804794311523,
-0.11575987935066223,
-0.04892287403345108,
0.46179690957069397,
-0.7010031938552856,
-0.697066068649292... |
instruction:
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sente... | 21
| 9 | NIv2 | task218_rocstories_swap_order_answer_generation | fs_opt | [
-0.06716454029083252,
0.3709474802017212,
-0.34507182240486145,
-0.2830873727798462,
0.31797483563423157,
-1.154587984085083,
0.497689425945282,
0.7935584187507629,
-0.162650927901268,
0.5517464280128479,
-0.4074838161468506,
-0.033929552882909775,
-0.7086437344551086,
-0.2953224778175354,... |
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 return the answer
Q: 9554 @... | 13015 | 4 | NIv2 | task087_new_operator_addsub_arithmetic | zs_opt | [
-0.3487401604652405,
0.5795707702636719,
-1.08479905128479,
-0.1336299479007721,
-0.7371257543563843,
-0.2509821653366089,
0.44272875785827637,
1.4331128597259521,
0.615596354007721,
0.08300663530826569,
-0.7171566486358643,
-0.18429109454154968,
0.2863883674144745,
0.3176869750022888,
-... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
GG: Un pouco? (Risas) Reláxate.
Output: | GG: Un po '? (Risate) Rilassala. | 1 | NIv2 | task1243_ted_translation_gl_it | zs_opt | [
-0.2946871519088745,
1.027467966079712,
-0.11662979423999786,
-0.8518189191818237,
-0.017918502911925316,
-0.9470924139022827,
0.8722020387649536,
0.6977763772010803,
-0.253058522939682,
-0.4523678123950958,
-0.8103642463684082,
0.22646808624267578,
-0.20841726660728455,
0.3013246655464172... |
Detailed Instructions: From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Q: Given Relationship: 'be part of', Sentence: 'Drug Class and patrick SOMA is a real drug darkly antepartum Soma SOMA is part of GlaxoSmit... | part | 9 | NIv2 | task678_ollie_actual_relationship_answer_generation | zs_opt | [
-0.0023459610529243946,
0.41559410095214844,
0.21363452076911926,
-1.1685848236083984,
-0.28558406233787537,
-0.5741264820098877,
0.6430070400238037,
0.6033537983894348,
0.8874417543411255,
0.12734979391098022,
-0.6184729337692261,
1.0181940793991089,
-0.7351820468902588,
-0.13635683059692... |
Q: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has... | green_pantry | 7 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
-0.029508059844374657,
-0.20369060337543488,
-0.012285617180168629,
-0.20605258643627167,
-0.4291017949581146,
0.017435945570468903,
0.24541226029396057,
0.606042206287384,
0.7047399878501892,
-0.2592906355857849,
-0.4568561911582947,
0.5854394435882568,
-0.20114374160766602,
0.07242224365... |
Instructions: In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F ... | A | 3 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
-0.2522333860397339,
0.6555730104446411,
-0.1922888159751892,
-0.36095088720321655,
0.4015048146247864,
0.14514537155628204,
0.34445813298225403,
0.25463342666625977,
0.656025230884552,
0.16971533000469208,
-0.2830579876899719,
-0.07917638123035431,
0.4322527050971985,
-0.01389517635107040... |
Q: In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
The Swiss people have voted yes to the freedom of circulation to the ne... | スイス国民は、欧州連合新規加盟国に対し人の移動を自由に行うことを認めるかに関して、賛成に投票した。 | 7 | NIv2 | task435_alt_en_ja_translation | zs_opt | [
-0.2341868132352829,
0.2622542977333069,
0.23651990294456482,
0.38766568899154663,
0.510589599609375,
-0.13335463404655457,
1.06596040725708,
0.10374803841114044,
0.14523261785507202,
0.005795223638415337,
0.2561623752117157,
0.14380207657814026,
0.15307356417179108,
-0.3030863404273987,
... |
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 given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Così diventa un igloo.
Solution: این یک خانه ی اسکیمو می شود.
Why? The Italian sentence is correctly tr... | پس ما بسیاری از این سیاره ها را می شماریم و اینها اندازه های متفاوتی دارند. | 0 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
-0.18560093641281128,
0.2757605314254761,
-0.2790263891220093,
-0.3164052367210388,
-0.06227604299783707,
-0.4325442314147949,
0.972533106803894,
0.031149668619036674,
0.11041536927223206,
-0.3380574584007263,
-0.5839468240737915,
0.9205445051193237,
-0.6289538741111755,
0.5657217502593994... |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Example Input: "แต่กากเชื้อเพลิงของโรงงานถ่านหินมีประมาณ1,000 ตัน ต่อวัน"
Example Output: 「石炭火力発電所から出てくる廃棄物の量は一日約1000トンである」
Example Input: โฆษกอย่าง... | ポイントに関しては、ハービックとジョンソンが引き続き1位と2位のままだった。
| 3 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
-0.2504456043243408,
0.0468994602560997,
-0.2049521803855896,
-0.41760730743408203,
0.3481194078922272,
-1.4282844066619873,
0.4243243336677551,
0.24275954067707062,
-0.49554598331451416,
0.28030383586883545,
-0.37782832980155945,
0.12056199461221695,
-0.3866819143295288,
0.526410162448883... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Problem:The writer is associate professor and director , Center for South Asian Studies , University of Michigan .
Solution: | लेखक युनिवर्सिटी ऑफ मिशिगन में एसोसिएट प्रोफेसर और सेंटर फॉर साउथ एशियन स्टड़ीज़ के निदेशक हैं । | 8 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
-0.11128280311822891,
-0.7810104489326477,
0.17566998302936554,
-0.47188785672187805,
0.000030661001801490784,
-0.8125303983688354,
-0.9137614369392395,
-0.583528995513916,
-0.5342630743980408,
-0.1850687563419342,
-0.332788348197937,
-0.6676634550094604,
-0.5941836833953857,
0.62926912307... |
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.
Q: ohh in btwn wer are you talking to a friend
A: | other | 4 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-0.6107902526855469,
1.0047221183776855,
0.42474231123924255,
-1.2728811502456665,
-0.37976139783859253,
-0.30668729543685913,
1.045791745185852,
-0.1303066611289978,
1.045288324356079,
0.06124811992049217,
-0.12245608121156693,
-0.3243407905101776,
-0.08577338606119156,
-0.108517974615097... |
Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a pref... | Yes | 4 | NIv2 | task1439_doqa_cooking_isanswerable | zs_opt | [
1.022545337677002,
0.6088517904281616,
-0.11386330425739288,
0.4247024953365326,
-0.18849308788776398,
-0.5760079026222229,
0.8950488567352295,
1.1725044250488281,
-0.5934828519821167,
-0.047898147255182266,
0.34360525012016296,
0.411085844039917,
-0.4969298541545868,
0.41894686222076416,
... |
We would like you to classify each of the following sets of argument pairs (discussing Gay Marriage) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FA... | Not similar
| 5 | NIv2 | task147_afs_argument_similarity_gay_marriage | fs_opt | [
-0.4292144179344177,
0.24335141479969025,
0.08292369544506073,
0.3703225553035736,
0.3159742057323456,
-0.3296147882938385,
0.2939208745956421,
0.9179559946060181,
0.3160914480686188,
-0.0014022577088326216,
-0.6817910671234131,
0.5851801037788391,
-0.7305324077606201,
-0.3112838864326477,... |
Detailed Instructions: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: Manasie Phampe, pemimpin Palang Merah dari negara bagian tersebut menjelaskan: "Air hujan dan air dari... | 赤十字の州リーダーのManasiePhampe氏は「雨量とオーバーフローしたラミンゴダムからの水とで市のいくつかの地区が流された」と説明した。 | 9 | NIv2 | task1116_alt_id_ja_translation | zs_opt | [
-0.41679322719573975,
0.2902963161468506,
-0.02323869615793228,
-0.8417370915412903,
-0.17177990078926086,
-1.1048147678375244,
0.601051926612854,
-0.18000911176204681,
-0.5951786637306213,
-0.004959984682500362,
-0.6514323353767395,
0.35622042417526245,
-1.0558948516845703,
0.330489575862... |
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: [-3.688, 0.281, -5.095, -0.40... | [] | 4 | NIv2 | task367_synthetic_remove_floats | zs_opt | [
-0.3299850821495056,
0.3286144435405731,
-0.44649267196655273,
-0.4024127721786499,
-0.10344728827476501,
-0.237606018781662,
0.9896832704544067,
0.32254981994628906,
0.06408751010894775,
0.42860954999923706,
-0.48590490221977234,
0.37733229994773865,
0.33055487275123596,
-0.18051268160343... |
Definition: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer,... | It was amazing . | 2 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
0.8182559609413147,
0.2533402740955353,
0.06579340994358063,
0.1433388888835907,
0.2426075041294098,
-0.16377508640289307,
1.1886284351348877,
0.2825225591659546,
0.636996328830719,
0.20752385258674622,
-0.14234012365341187,
0.7120479345321655,
-0.10331608355045319,
0.574368953704834,
0.... |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
--------
Question: what type of movie is The Competition?
Answer: Drama, Romance, Music
Question: what year was The End of Poverty? relea... | Agnes Moorehead, Vincent Price, John Sutton, Gavin Gordon
| 7 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.8213517069816589,
0.31740763783454895,
-0.30236151814460754,
0.20413655042648315,
-0.413440465927124,
0.43340015411376953,
0.5258715152740479,
0.32635676860809326,
-0.09276306629180908,
-0.4983905553817749,
-0.7634048461914062,
0.45552486181259155,
-0.7676860690116882,
-0.97619497776031... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Input: אך עם עדשה כזו, עליך להיות קרוב כ-25 ס "" מ לאדם.
Output: | Pero con aquel obxectivo, tiña que acercarme a menos de 25 cm da persoa. | 2 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-0.7444273829460144,
0.5525041818618774,
-0.10252665728330612,
-0.3385774493217468,
-0.573442816734314,
-0.6489400267601013,
0.7612230777740479,
0.12081655114889145,
-0.16328376531600952,
-0.5406198501586914,
-0.7321012020111084,
0.5315054655075073,
-0.7385635375976562,
-0.1409412324428558... |
Teacher:In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Teacher: Now, understand the problem? Solve this instanc... | c, m, o, s, t, u, w, z | 6 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | zs_opt | [
-0.6325024366378784,
0.4339425563812256,
-0.11930965632200241,
-0.21088483929634094,
0.6361502408981323,
0.2704960107803345,
0.5164378881454468,
-0.10133615136146545,
-0.7530999779701233,
0.2898824214935303,
-0.1913183331489563,
-0.7168392539024353,
0.3255050480365753,
-0.48186320066452026... |
Instructions: In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for ... | When did the conversation take place? (A) In the morning. (B) In the afternoon. (C) In the evening. | 3 | NIv2 | task246_dream_question_generation | zs_opt | [
0.7458078861236572,
0.8723706007003784,
-0.7452353835105896,
-0.5051484107971191,
-0.1254045069217682,
-0.17987114191055298,
0.41425907611846924,
0.39494168758392334,
0.000036658719182014465,
-0.5162280797958374,
-0.7583989500999451,
0.15709368884563446,
0.1668149083852768,
-0.785361170768... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate l... | Yes | 0 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.33269166946411133,
0.1698291152715683,
-0.26246732473373413,
0.19685965776443481,
-0.3412758708000183,
-0.3380346894264221,
0.533603310585022,
-0.245784193277359,
-0.4832581579685211,
-0.14571335911750793,
0.1298806071281433,
0.8360766172409058,
-1.0553925037384033,
0.8404033184051514,
... |
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.
First time to this Franchise and this location. Well lit, in strip mall, good parking and no line at 7:30 pm. ... | NEGATIVE | 0 | NIv2 | task475_yelp_polarity_classification | zs_opt | [
-0.6889932751655579,
-0.6580447554588318,
0.0037461742758750916,
0.9573414325714111,
0.4062991738319397,
0.15731963515281677,
0.3170625865459442,
0.9698469638824463,
0.07942216098308563,
0.1472158581018448,
0.8241920471191406,
-0.4056040346622467,
-0.5527886152267456,
-0.16686251759529114,... |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closes... | Sci/Tech | 3 | NIv2 | task379_agnews_topic_classification | fs_opt | [
-0.5843467116355896,
0.15336155891418457,
-0.1027715802192688,
0.9329001307487488,
0.015605929307639599,
-0.26856106519699097,
-0.44164609909057617,
0.5833851099014282,
-0.5062059760093689,
0.12228207290172577,
0.09664421528577805,
0.17991992831230164,
0.05808610841631889,
-0.3128865957260... |
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".
Example Input: English: "It's a sign of change," she said.
Japanese: 「それは変化の兆しだ」... | Yes
| 3 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
0.8343597054481506,
-0.3736361563205719,
-0.04841901361942291,
0.20087593793869019,
0.6410260796546936,
-1.0329251289367676,
0.379054456949234,
0.7372214794158936,
-0.9297066926956177,
0.22044259309768677,
0.7527933120727539,
0.6024234294891357,
-0.4825642704963684,
0.3451404869556427,
0... |
In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Let me give you an example: Sentence 1: Marcus needed clothing for a business casual event. Sentenc... | b | 8 | NIv2 | task220_rocstories_title_classification | fs_opt | [
0.283596009016037,
0.09433047473430634,
-0.2964547872543335,
0.04568061605095863,
-0.11618640273809433,
-0.37809082865715027,
0.7052389979362488,
0.8513031601905823,
0.5198280811309814,
0.6073377132415771,
-0.8040087223052979,
0.39079904556274414,
-0.718258261680603,
0.09599113464355469,
... |
Detailed Instructions: In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Q: Text: i went to college right after high school, like a lot of pe... | TIFU by losing my financial aid. | 9 | NIv2 | task510_reddit_tifu_title_summarization | zs_opt | [
-0.8301259875297546,
0.3860851526260376,
0.7491770386695862,
-0.6314154863357544,
-0.12420552968978882,
-0.03036358579993248,
0.06495731323957443,
0.9912996292114258,
-0.20294736325740814,
0.12363868951797485,
0.28839707374572754,
-0.796667754650116,
-0.6144383549690247,
-0.276434898376464... |
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Input: Consider Input: Context: Mila was a... | Output: True
| 2 | NIv2 | task384_socialiqa_question_classification | fs_opt | [
-0.6242636442184448,
0.5765520334243774,
0.20138566195964813,
0.10903315246105194,
0.11555898189544678,
-0.16696113348007202,
0.6596695184707642,
0.8063708543777466,
0.08992427587509155,
0.17026042938232422,
-0.38426488637924194,
-0.1549542248249054,
-0.3058905005455017,
0.1444415599107742... |
We would like you to classify each of the following sets of argument pairs (discussing Gay Marriage) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FA... | Not similar
****
| 4 | NIv2 | task147_afs_argument_similarity_gay_marriage | fs_opt | [
-0.734759509563446,
0.36362046003341675,
-0.2841970920562744,
0.2638809084892273,
0.07935917377471924,
-0.42760419845581055,
0.4078364968299866,
0.8215658068656921,
-0.03540372848510742,
0.012590818107128143,
-0.7636023759841919,
1.0382376909255981,
-0.7824605107307434,
-0.2390517294406891... |
Definition: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a ... | Who has sold the must music albums ever worldwide?
The Beatles | 2 | NIv2 | task671_ambigqa_text_generation | zs_opt | [
-0.2127501368522644,
0.17062953114509583,
-0.4737270474433899,
0.2442777156829834,
-0.008297791704535484,
0.24475473165512085,
-0.21168048679828644,
0.10068439692258835,
0.012407186441123486,
-0.28492096066474915,
-0.9626542925834656,
-0.028839804232120514,
-0.38152122497558594,
0.10790502... |
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Q: Personality: When I t... | Oh that sucks I'm a political science major myself.
****
| 4 | NIv2 | task1729_personachat_generate_next | fs_opt | [
0.6042152643203735,
0.4112831950187683,
-0.22384707629680634,
0.1874808520078659,
-0.10171446204185486,
-0.5831999778747559,
0.5405217409133911,
0.2502932548522949,
-0.4212252199649811,
0.06884647905826569,
0.12215477973222733,
0.4930964410305023,
-0.7548073530197144,
-0.001453312113881111... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
[Q]: بل لديها شيء آخر.
[A]: Hanno qualcos'altro.
[Q]: انها تشبه الموسيقى — حقا هو تماما مثل الموسيقى.
[A]: Simile alla musica, proprio come la musica.
[Q]: الديموقراطية ، كنظام سياسي ، هي تكنولوجيا لضبط و توظيف السلطة
[A... | La Democrazia, come tipo di politica, è una tecnologia per il controllo e l'impiego del potere.
| 5 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.5028823614120483,
0.7235022783279419,
-0.18728691339492798,
-0.01928609237074852,
-0.6980451941490173,
-0.3424508571624756,
1.0912806987762451,
0.7129460573196411,
-0.192629873752594,
-0.08105769008398056,
-0.5568681359291077,
-0.10766567289829254,
-0.45022323727607727,
0.12397572398185... |
In this task, you will be shown a passage and a question in Persian. You need to write an answer in Persian for the question. Try to keep your answers as short as possible.
غَلات گیاهانی از خانواده گندمیان هستند که گیاهان علفی تک لپهای بوده و دانههای ریز آنها، مصرف خوراکی دارد. غلات گیاهانی یک ساله هستند، یعنی چرخهٔ... | گیاهانی از خانواده گندمیان هستند که گیاهان علفی تک لپهای بوده و دانههای ریز آنها، مصرف خوراکی دارد | 0 | NIv2 | task467_parsinlu_rc_answer_generation | zs_opt | [
-0.5273618698120117,
1.3375917673110962,
-0.6966843605041504,
0.2131207287311554,
-0.6862985491752625,
-0.5436185598373413,
0.8305319547653198,
-0.057268351316452026,
-0.05454225838184357,
-0.5477335453033447,
-1.3744597434997559,
0.5312468409538269,
-0.6982694864273071,
0.5121384859085083... |
In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Input: Consider Input: Erwin Finla... | Output: Social Science
| 2 | NIv2 | task521_trivia_question_classification | fs_opt | [
-0.07380136847496033,
0.7572391033172607,
-0.6089780926704407,
0.032503727823495865,
0.08090813457965851,
-0.5458393692970276,
0.46492457389831543,
0.5286983251571655,
0.4719260036945343,
0.1929168999195099,
-0.6511884927749634,
0.8266681432723999,
-0.7383146286010742,
-0.16681954264640808... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to... | Jamie cries >Causes/Enables> Jamie stops crying
| 7 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
0.571853518486023,
-0.3630017042160034,
-0.291437029838562,
-0.4612226188182831,
0.31377798318862915,
-0.2475692480802536,
0.5034587979316711,
1.196051836013794,
-0.3172968626022339,
-0.23782125115394592,
-0.14078783988952637,
0.6782699823379517,
-0.5858583450317383,
0.12616151571273804,
... |
instruction:
In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
question:
Sure, my trip dates are 12/11 and 12/13.
answer:
customer
question:
Sure, I want to depart on June 25 and I will ... | customer
| 9 | NIv2 | task575_air_dialogue_classification | fs_opt | [
0.05774517357349396,
0.17117443680763245,
-0.30571669340133667,
-0.6289854049682617,
-0.21024005115032196,
-0.27057668566703796,
0.09054408967494965,
-0.3930146098136902,
-0.4597383737564087,
0.5016407370567322,
0.7294143438339233,
-0.13978074491024017,
-0.9942224025726318,
-0.168546125292... |
Instructions: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that migh... | weakener | 3 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.19855351746082306,
0.4655662178993225,
-0.16905641555786133,
0.18404199182987213,
0.06593650579452515,
-0.9431362152099609,
0.8035526275634766,
1.1337385177612305,
0.2857985496520996,
-0.24771881103515625,
-1.3960883617401123,
-0.009028113447129726,
-0.7547050714492798,
-0.3606409430503... |
This task is to translate the Telugu Language Input to English Language Output
Example Input: ఈ ఖచ్చితంగా నేను కోరుకున్న విధంగా కాదు, కానీ ఇప్పుడు కోసం, అది ఉండాలి.
Example Output: This is certainly not the way I want it, but for now, it must be.
Example Input: దృఢమైన నియోడైమియమ్ అయస్కాంతాలు
Example Output: Permane... | Intercity Rail Systems _ RayHaber _ raillynews
| 3 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt | [
-0.3377034664154053,
0.6275629997253418,
0.053839750587940216,
0.2085292786359787,
-0.05903064087033272,
-0.8303584456443787,
-0.26199406385421753,
0.9713647365570068,
0.12523753941059113,
0.3808836340904236,
0.16595573723316193,
0.6518267393112183,
-0.6694698333740234,
-0.1406219154596328... |
instruction:
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always b... | f4195QkvpU573633184171429
| 9 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
0.17414328455924988,
0.21494248509407043,
-0.8617279529571533,
-0.2655695080757141,
-0.32841378450393677,
-0.515081524848938,
0.585098385810852,
0.19923822581768036,
-0.2010800987482071,
0.2704414129257202,
-0.8118883371353149,
0.283674955368042,
0.03428193926811218,
0.11017601191997528,
... |
Detailed Instructions: Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
See one example below:
Problem: English sentence: Roger Federer was the first player to win 20 Grand Slams
Solution: Si Roger Federer ang unang manlalaro na nanalo... | Napakatagal na ang ganitong maling katuruan na noon pa man ay makikita na sa hardin ng Eden kung saan pinagdudahan ni satanas ang salita ng Diyos at kinumbinse si Adan at Eba na tanggihan ang Diyos at paniwalaan ang kanyang kasinungalingan. Ginagawa pa rin niya ang gayon sa panahon ngayon dahil siya ang "leong umaatung... | 4 | NIv2 | task448_opus_paracrawl_en_tl_translation | fs_opt | [
0.11409665644168854,
0.41665446758270264,
-0.7697339653968811,
-0.2437322437763214,
0.0032692851964384317,
-1.1289397478103638,
0.7551933526992798,
0.40312641859054565,
0.1938038468360901,
0.015035267919301987,
-0.17362526059150696,
0.9937753677368164,
-1.5154616832733154,
-0.0740434825420... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
One example: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Solution is here: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
Explanation: The Japanese sentence is corr... | که اکثریت قریب مردم به تجدید پذیری توجه می کنند بعد از مسائل روزمره ، مسائل روزمره ، که چطور بچه ها را به مدرسه برسانم ؟ | 6 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
0.36813297867774963,
0.7012478709220886,
-0.20953263342380524,
-0.13915948569774628,
-0.841775119304657,
-0.5755467414855957,
1.3099284172058105,
0.10843345522880554,
0.007333510555326939,
-0.5712931156158447,
-1.100029706954956,
0.37348678708076477,
-1.1454862356185913,
0.6349989175796509... |
Teacher:In this task, you will be given text in English. You need to translate the text into the Sinhali language.
Teacher: Now, understand the problem? Solve this instance: Tango and flamenco shoes are used for tango or flamenco dancing.
Student: | ටැංගෝ සහ ෆ්ලමෙන්කෝ සපත්තු ටැංගෝ සහ ෆ්ලමෙන්කෝ නර්තන සඳහා භාවිතා කළේය. | 6 | NIv2 | task604_flores_translation_entosn | zs_opt | [
0.1604694128036499,
0.6215798854827881,
-0.04345826432108879,
0.5256191492080688,
-0.3242238759994507,
-0.8181818723678589,
0.13439592719078064,
0.24330230057239532,
-0.5736889243125916,
-0.1740630865097046,
0.3089559078216553,
0.03287838399410248,
-0.3447125554084778,
0.056382566690444946... |
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 given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it... | false | 0 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-0.9501201510429382,
0.5934144258499146,
0.555725634098053,
0.19052790105342865,
-0.48101794719696045,
-0.6192411184310913,
0.4601098895072937,
0.5137479305267334,
0.3164216876029968,
0.3494243323802948,
-0.2396334409713745,
-0.3043997287750244,
-0.9703891277313232,
-0.2345293015241623,
... |
TASK DEFINITION: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
PROBLEM: Billy Griffin, 28, was one of eight people, mostly from Manchester, who admitted conspiracy to supply cocaine and heroin at a hearing last month. Griffin's sentencing was delaye... | Some people with mental health conditions are going hungry because of their anxiety about coronavirus, according to a charity.
| 8 | NIv2 | task1357_xlsum_summary_generation | fs_opt | [
0.3663102388381958,
0.18717020750045776,
-0.05514613166451454,
-1.174193263053894,
1.1302332878112793,
-0.24328258633613586,
0.37478673458099365,
1.1618003845214844,
-0.3396412432193756,
-0.05813276022672653,
-0.38793420791625977,
0.7129107713699341,
-0.7467328310012817,
0.0457971319556236... |
In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun ph... | tennis tournament on Thursday ( prefix number denotes seeding ) : | 3 | NIv2 | task610_conllpp_ner | fs_opt | [
0.27494606375694275,
-0.3770836591720581,
-0.016107380390167236,
0.632986307144165,
0.19874781370162964,
-0.6000239849090576,
0.1395082026720047,
0.9515299201011658,
-0.6304497718811035,
0.07247291505336761,
-0.6072890162467957,
0.5078003406524658,
-0.42690953612327576,
0.5013112425804138,... |
Q: In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
W: Morning, this is TGC. M: Good morning. Walter Ba... | He is a chemist. | 7 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
0.2702285647392273,
0.5917458534240723,
-0.17030885815620422,
-0.22891589999198914,
0.7527555823326111,
-1.217421054840088,
-0.061988092958927155,
0.45434826612472534,
0.2746965289115906,
0.08512543141841888,
-0.46491527557373047,
0.5766633152961731,
0.04048701375722885,
0.0486147329211235... |
Detailed Instructions: Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applie... | RANDOM | 8 | NIv2 | task1505_root09_semantic_relation_classification | zs_opt | [
-0.6262751221656799,
0.27573710680007935,
-0.1006774976849556,
-0.5151984691619873,
-0.7556343078613281,
-0.3937910795211792,
0.45504286885261536,
0.4960046708583832,
0.5093346238136292,
-0.5676602721214294,
-1.128214955329895,
-0.11023901402950287,
-0.31932467222213745,
0.0071610435843467... |
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.
Ex Input:
Today' s vote went beyond the problem of chocolate alone and has threat... | English
| 1 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
-0.17001909017562866,
0.3621911108493805,
0.7602493762969971,
0.06787830591201782,
0.1629805862903595,
-0.5811156630516052,
-0.023880327120423317,
0.929206371307373,
-0.21218430995941162,
-0.33140891790390015,
0.03495470806956291,
0.03865053504705429,
0.26632094383239746,
-0.84231239557266... |
Detailed Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to 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 ... | 45808 | 8 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
-0.33233869075775146,
0.4921681582927704,
-0.24770507216453552,
-0.674490749835968,
-0.19447138905525208,
0.14270296692848206,
0.9540729522705078,
-0.09355104714632034,
-0.1296047866344452,
0.12033875286579132,
-0.6323136687278748,
0.61216139793396,
0.17320296168327332,
-0.359262615442276,... |
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