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 country name, and you need to return the year in which the country became independent. Independence is a nation's independence or statehood, usually after ceasing to be a group or part of another nation or state, or more rarely after the end of military occupation.
Q: Bangladesh
A: | 1971 | 4 | NIv2 | task1426_country_independence_year | zs_opt | [
0.25088220834732056,
0.912226676940918,
-0.3382517397403717,
0.09211527556180954,
0.4585123062133789,
-0.7051128149032593,
1.0279878377914429,
0.0010357158025726676,
0.25637802481651306,
-0.07862871885299683,
-1.0596730709075928,
-0.19295236468315125,
-0.42834559082984924,
-0.0369710177183... |
Given the task definition and input, reply with output. In this task, we ask you to write a question that asks about "event duration", based on a given sentence. The question will likely start with "How long". Your question should be answerable based on the common knowledge of how long certain events usually last. Don'... | How many years did it take raw-material production to double? | 5 | NIv2 | task003_mctaco_question_generation_event_duration | zs_opt | [
-0.4107595980167389,
0.7559009194374084,
-0.11527620255947113,
-0.16434073448181152,
-0.8332217931747437,
-0.467171311378479,
-0.05167461931705475,
0.813758909702301,
-0.006376636680215597,
-0.04849087446928024,
-0.8262550830841064,
1.0605227947235107,
-0.4622340202331543,
-0.0468975380063... |
In this task, you are given an article. Your task is to summarize the article in a sentence.
Q: It gets under way with a world premiere of Tommy's Honour, a film based on a true story about Scottish golfing pioneer Old Tom Morris.
A remake of the classic Scottish comedy Whisky Galore will close the festival, which run... | Virgin Money, the UK challenger bank part-owned by entrepreneur Sir Richard Branson, has announced plans to float shares on the London Stock Exchange.
****
| 4 | NIv2 | task1290_xsum_summarization | fs_opt | [
0.030927371233701706,
0.3448081910610199,
-0.1183190569281578,
-0.17376722395420074,
0.6649326682090759,
-0.4609552025794983,
0.18647785484790802,
0.9599514007568359,
-0.03721051290631294,
0.32626938819885254,
0.06133599579334259,
0.7869114279747009,
-0.9427090883255005,
0.1793407201766967... |
Given the task definition and input, reply with output. Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Tagalog sentence: Katapusan ng taon na posisyon
| End of year positions | 5 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
0.03621484339237213,
0.6636743545532227,
0.24893462657928467,
-0.3765829801559448,
0.26276275515556335,
-0.40746375918388367,
0.3168393075466156,
-0.18176177144050598,
0.45733827352523804,
-0.4235153794288635,
0.026270966976881027,
0.5093034505844116,
-0.7521976828575134,
0.299023091793060... |
Teacher: In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Text... | did not read the card i was asked to sign, totally offended a man in mourning. | 2 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.1035248339176178,
0.20481660962104797,
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0.40606993436813354,
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0.6566793918609619,
0.6668422222137451,
0.25360244512557983,
-0.022974809631705284,
-0.02555149234831333,
0.3878176212310791,
-0.0014142736326903105,
-0.11608770489... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Input: Consider Input: Rachel was interested in learning about herbal treatments and asked Betty to share her knowledge. _ was anxious to learn. (A) Rach... | Output: A
| 2 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
-0.039847783744335175,
0.34012526273727417,
-0.3648650646209717,
-0.09101399034261703,
-0.5906071066856384,
-1.1905841827392578,
0.8699386715888977,
0.5204493403434753,
0.18316012620925903,
0.3889346122741699,
-0.2205200493335724,
0.5309293866157532,
0.04059051349759102,
-0.057995725423097... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Q: Ahí también está esa idea de usar el espacio público para generar actividad externa.
A: | To również idea publicznej przestrzeni, która wykorzystuje otwarty teren. | 9 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.5123517513275146,
1.3536776304244995,
-0.3613058924674988,
-0.34472352266311646,
-0.23221427202224731,
-0.13119849562644958,
0.3992079198360443,
-0.23093220591545105,
0.5886704921722412,
-0.21193081140518188,
-0.5115579962730408,
0.6451081037521362,
-0.38894277811050415,
0.0059958389028... |
Teacher:You are given a statement written in Panjabi. 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 .
Teacher: Now, understand the problem? Solve this instance: Statement: <MASK> ਵਿਚ ਰਣਜੀਤ ਸਿੰਘ ਦਾ ਰਾਜ ਸਿਖ, ਹ... | ਪੰਜਾਬ | 6 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | zs_opt | [
0.14721176028251648,
1.052588701248169,
0.5024670362472534,
-0.8545721769332886,
-0.5726772546768188,
-0.8644533753395081,
0.527764081954956,
0.8524380326271057,
-0.06823916733264923,
0.35757434368133545,
-0.5213660001754761,
-0.3278738558292389,
-0.35523465275764465,
-0.11650975048542023,... |
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Ex Input:
Kommissionären instämmer och lovat att lägga I... | English
| 1 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
-0.21010348200798035,
0.40859851241111755,
0.232547327876091,
-0.2081051468849182,
0.09724070131778717,
-0.19197645783424377,
0.8840627670288086,
0.8056765794754028,
0.5805386304855347,
0.5729129314422607,
-0.14252664148807526,
0.2112218737602234,
-0.3209223747253418,
-0.25504931807518005,... |
You are given a conversation between two people.'Person1:' and 'Person2:' are used to separate their respective dialogues. You have to classify if there exist more than 2 unique emotions in conversation. If there are more than 2 unique emotions present in the conversation, the output should be classified as '1' else it... | Output: 0
| 2 | NIv2 | task1535_daily_dialog_uniqueness_classification | fs_opt | [
0.21531258523464203,
0.14432089030742645,
-0.22014521062374115,
0.305532306432724,
0.24395936727523804,
0.062015093863010406,
0.9854117631912231,
0.20174293220043182,
0.16998600959777832,
-0.0888780727982521,
-0.44280457496643066,
-0.1402144432067871,
-0.37014466524124146,
-0.2513565719127... |
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Input: Consider Input: To determine whether full-scale simulation (SIM) is superior to interactive pr... | Output: 0
| 2 | NIv2 | task848_pubmedqa_classification | fs_opt | [
0.7663094997406006,
-0.08340220153331757,
-0.3791894316673279,
-0.004406109917908907,
1.1671128273010254,
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0.3377692699432373,
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0.8352115154266357,
-0.379050076007843,
0.3002796173095703,
-0.10275855660438538,
0.024132002145051956... |
Definition: 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.
Input: [[8, -39, -25], [-10, -13], [25... | [7800, 130, -266600] | 2 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.28715986013412476,
-0.053394343703985214,
-0.9898392558097839,
-0.21076956391334534,
-0.040577150881290436,
0.06602033972740173,
1.0402811765670776,
-0.1810646951198578,
-0.050194211304187775,
-0.20658431947231293,
-1.2002946138381958,
0.17208735644817352,
-0.47604674100875854,
-0.20060... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of yo... | [-108, 89, 17, -13, 100, 60, 28, 53, 10]
| 1 | NIv2 | task122_conala_list_index_addition | fs_opt | [
0.12082427740097046,
-0.24197818338871002,
-0.781000554561615,
-0.36671966314315796,
0.0315827950835228,
-0.1750822365283966,
0.9267510175704956,
0.7356122732162476,
-0.5157504677772522,
-0.07254158705472946,
-0.844814658164978,
0.20375531911849976,
-0.5114948749542236,
-0.1179847568273544... |
The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Example Input: Harry told us all about the recent grim events.
Example Outpu... | joy
| 3 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.3078770339488983,
0.2762674391269684,
0.4256961941719055,
-0.8193280100822449,
-0.27364903688430786,
-0.897749662399292,
0.7434159517288208,
0.35669761896133423,
0.1927194595336914,
-0.5109741687774658,
-1.2176705598831177,
-0.08006973564624786,
-0.23798662424087524,
-0.0998766049742698... |
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Paragraph: Background: The Iberian lynx (Lynx pardinus... | False | 0 | NIv2 | task1162_coda19_title_classification | zs_opt | [
-0.884315550327301,
0.589942991733551,
-0.1267828494310379,
-0.04816698282957077,
-0.8894945979118347,
0.08953067660331726,
0.6390770673751831,
0.1105838418006897,
-0.13774734735488892,
-0.35293060541152954,
-0.7506595849990845,
0.5974617004394531,
-0.9717156291007996,
0.45618659257888794,... |
Detailed Instructions: 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 should not contain other words.
See on... | ritual | 4 | NIv2 | task401_numeric_fused_head_reference | fs_opt | [
-0.7587090134620667,
0.12277823686599731,
-0.8281058073043823,
-0.1370759904384613,
-0.5228195786476135,
-0.3281097114086151,
0.43064165115356445,
0.1726696491241455,
-0.5431588888168335,
0.15849322080612183,
-0.6407331228256226,
0.03588397055864334,
-0.31604111194610596,
0.158617943525314... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? ... | finding | 8 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.09354148805141449,
0.6251484155654907,
-0.19260013103485107,
-0.12183904647827148,
0.27300751209259033,
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0.15956883132457733,
1.6260923147201538,
0.19287347793579102,
0.7321082949638367,
-1.087846279144287,
0.13445408642292023,
-0.00045423838309943676,
-0.15562656521... |
Instructions: In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ .
Inpu... | "We hope the release of these pages will clear up, once and for all, any lingering questions or suspicions about Saudi Arabia's actions, intentions, or long-term friendship with the _." | 3 | NIv2 | task301_record_question_generation | zs_opt | [
-0.3279670774936676,
0.03242754191160202,
-0.3927488625049591,
-0.15123672783374786,
-0.2564969062805176,
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0.4457118809223175,
0.5036665201187134,
-0.4769535958766937,
0.8125739097595215,
-0.2290627658367157,
0.2586330473423004,
-0.8913857936859131,
-0.2509649395942688,
... |
Q: You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous... | surprise | 7 | NIv2 | task1663_cedr_ru_incorrect_classification | zs_opt | [
-0.7869630455970764,
0.23762384057044983,
-0.10321314632892609,
-0.4825013279914856,
-0.4911423623561859,
-0.5604131817817688,
0.18606488406658173,
0.8593969941139221,
0.286912739276886,
-0.11139187216758728,
-0.3513723313808441,
-0.13117912411689758,
-0.414010614156723,
0.1944952607154846... |
Detailed Instructions: You are given a statement written in Oriya. 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 .
See one example below:
Problem: Statement: 'ରକନୁଦ୍ଦୀନ'ଙ୍କ ଶାସନ ବହୁତ କମ ସମୟ ପାଇଁ ଥିଲା । ଇଲତୁତମ... | ଅଷ୍ଟ୍ରେଲିଆ | 4 | NIv2 | task951_wiki_cloze_or_multiple_choice_question_answering | fs_opt | [
0.10695265978574753,
0.9280093908309937,
-0.26038527488708496,
0.22967396676540375,
0.27445393800735474,
0.07521428167819977,
0.11734598875045776,
1.1012146472930908,
-0.07739164680242538,
0.46740686893463135,
-0.39557304978370667,
0.09284011274576187,
-0.5137206315994263,
-0.0015392228960... |
Definition: Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Inpu... | increase | 2 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
0.08316879719495773,
0.24957789480686188,
0.4220016598701477,
-0.09355577826499939,
0.12231704592704773,
-0.21242299675941467,
0.8406276702880859,
-0.03983408212661743,
0.20382052659988403,
-0.7845847010612488,
-0.6796140670776367,
-0.09996932744979858,
-1.1089999675750732,
0.5254329442977... |
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 describing a d... | A train travels down the country side on tracks
| 3 | NIv2 | task102_commongen_sentence_generation | fs_opt | [
-0.022737378254532814,
0.3773060142993927,
-0.5693649053573608,
-0.12214196473360062,
-0.18247121572494507,
-0.9003554582595825,
0.030618956312537193,
0.3749326467514038,
0.09606203436851501,
-0.7141090631484985,
-0.6202168464660645,
0.16066834330558777,
-0.5137261748313904,
0.101242646574... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Problem:So imagine that right now you went and you found your musician friend.
Solution: | אז דמיינו שממש עכשיו נתקלתם בחברכם המוזיקאי. | 8 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
-0.13899289071559906,
0.9390680193901062,
-0.2734297215938568,
-0.029110044240951538,
-0.14257550239562988,
-0.002280303742736578,
0.4882553517818451,
-0.23766838014125824,
1.1708680391311646,
-0.1718214750289917,
0.25583207607269287,
-0.08023542165756226,
-0.667614758014679,
-0.2963416576... |
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that defin... | eq { count { filter_eq { all_rows ; high assists ; mo williams } } ; 2 } | 4 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.25195375084877014,
-0.1666640341281891,
-0.6270704865455627,
0.36936429142951965,
0.2914789319038391,
-0.7799545526504517,
0.16867271065711975,
0.3475978672504425,
0.1487032175064087,
-0.22549046576023102,
-0.5348658561706543,
-0.05514616519212723,
-0.24878133833408356,
0.339346915483474... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Example input: Co... | C | 3 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
0.30092939734458923,
0.47870028018951416,
-0.18450257182121277,
0.476212739944458,
0.07482460141181946,
-0.3533261716365814,
0.23380374908447266,
0.2854604125022888,
-0.15860064327716827,
0.5102870464324951,
-0.5798435807228088,
0.12541510164737701,
0.24847155809402466,
-0.5925586819648743... |
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
One example: [1, 2, 3]
Solution is here: [0.167, 0.333, 0.500]
Explanation: The output list sums to 1.0 and has the... | [-2.987 3.987] | 6 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.20971748232841492,
0.4280255138874054,
-0.9057457447052002,
-0.7043273448944092,
0.5224418640136719,
0.18886452913284302,
0.9558550119400024,
0.038001686334609985,
0.02677086368203163,
-0.06068699061870575,
-0.7277313470840454,
0.1332305371761322,
-0.08217166364192963,
-0.27830445766448... |
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 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 p... | Bad review | 0 | NIv2 | task929_products_reviews_classification | fs_opt | [
-0.2710334360599518,
0.1136859878897667,
-0.4996073544025421,
0.09635643661022186,
0.3225892186164856,
-0.37740427255630493,
0.7934858798980713,
0.8340442180633545,
-0.7309544086456299,
0.5176175832748413,
0.0070841191336512566,
-0.09835873544216156,
-0.4479762315750122,
-0.563845634460449... |
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... | The angry man approaches us >Causes/Enables> The angry man talks to her
| 6 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
-0.03963475301861763,
0.16544581949710846,
-0.35882312059402466,
-0.3085513710975647,
-0.13266757130622864,
-0.7988150119781494,
0.25931495428085327,
0.7775134444236755,
-0.1349957287311554,
-0.344093918800354,
-0.6323369741439819,
0.04453923553228378,
-0.29520368576049805,
-0.115323737263... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
--------
Question: Ferdinand: Beyond all limit.
Answer: ファーディナンド ： 限りなく
Question: He was placed on intravenous antibiotics and he recovered after a few days.
Answer: 抗生物質の静脈投与を受けそのあと数日で回復しました
Question: So each idea h... | １つ１つのアイデアに「ミーモム」がありそれはそれぞれユニークですが勿論お互いアイデアを借り合い時にはアイデアを盗んだり確かに相互関係にありますそこで数学的に一つのトークから「ミーモム」をとり他の個々のトークから取ったものと比べますもし類似点があればリンクで繋ぎグラフに表します私とエリックが繋がった様にです
| 7 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.4507214426994324,
0.011910036206245422,
-0.022158630192279816,
-0.5860111117362976,
-0.3829551041126251,
-0.9598078727722168,
0.2327631562948227,
0.1652171015739441,
0.4366869330406189,
-0.3410155177116394,
-1.2803205251693726,
0.5019819736480713,
-0.9834257364273071,
0.08508936315774918... |
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.
[EX Q]: [-328, 729, 75]
[EX A]: [-330, 730, 80]
[EX Q]: [787, 743, -525, -253, 668, 799, -665, -836, 524, -79, -219, 918, 246, -887]
[EX A]:... | [260, -210, 90]
| 6 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-1.3533029556274414,
0.3277028799057007,
-0.20111675560474396,
-0.306673139333725,
-0.26899445056915283,
-0.3072972893714905,
0.55811607837677,
-0.023881997913122177,
-0.47763240337371826,
0.03373180329799652,
-0.695061445236206,
0.36980387568473816,
-0.8780100345611572,
0.2390680313110351... |
Teacher: In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun,... | Prep Pron N Prep N Punc V Pron Adv Adj Adv Punc Conj N N Adj Prep V Punc Punc Misc Punc Pron V Pron N Punc Pron V N Conj Adv V Pron Adv Prep V Punc Punc | 2 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | fs_opt | [
0.08817189931869507,
0.37719252705574036,
-0.01391886081546545,
-0.28172674775123596,
-0.2806171774864197,
-0.2929028272628784,
-0.0072077312506735325,
0.21264517307281494,
0.17835590243339539,
-0.30150920152664185,
0.09499190747737885,
0.4134082496166229,
-0.2892146706581116,
-0.059025123... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions ... | True | 1 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
-0.4109761118888855,
-0.12533414363861084,
-0.46726441383361816,
-0.16243049502372742,
-0.37738093733787537,
-0.19634300470352173,
0.22430947422981262,
0.27584925293922424,
0.061314381659030914,
0.29518765211105347,
-0.42251402139663696,
0.06403780728578568,
0.09933848679065704,
0.10486972... |
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
--------
Question: Det vore fantastiskt om vi med detta betänkande skulle k... | Finally, in my view, this sixth periodic report presents interesting arguments from the viewpoint of a real project for the balanced sustainable development of Europe, particularly when it outlines the importance of relations between the central areas of Europe and its more remote regions.
| 7 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
-0.2820032835006714,
0.9355950951576233,
0.44103533029556274,
-0.5562917590141296,
0.043363042175769806,
0.10083959251642227,
0.5606998205184937,
1.0944644212722778,
0.680892288684845,
0.01143164187669754,
-0.09807848930358887,
0.8632588386535645,
-0.3396075963973999,
0.07340111583471298,
... |
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix... | 069259790
| 7 | NIv2 | task1443_string_to_number | fs_opt | [
-0.3813868761062622,
1.2939221858978271,
-0.22095592319965363,
-1.1956357955932617,
-0.4579905867576599,
-0.3386867344379425,
0.8717575669288635,
-0.019208312034606934,
0.06876979768276215,
-0.550216555595398,
-0.4907756447792053,
0.23337095975875854,
-1.1090948581695557,
-0.20338965952396... |
Detailed Instructions: You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating ... | Who set the standards for ISO 3166-2:SI? | 9 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | zs_opt | [
-0.22350932657718658,
0.6295269727706909,
-0.40245041251182556,
-0.025345589965581894,
-0.1405268758535385,
0.20279139280319214,
0.5088341236114502,
0.07880134880542755,
-0.9192564487457275,
-0.1188216507434845,
-0.46989893913269043,
0.879172146320343,
-0.567228376865387,
0.975018680095672... |
In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
Ex Input:
i feel amazed because when he watch his victim intensely the lying blonde has a pretty face like a girl his skin so smooth his li... | anger
| 1 | NIv2 | task875_emotion_classification | fs_opt | [
-0.33118492364883423,
0.3173457086086273,
0.7986133098602295,
-0.47336357831954956,
-0.1830761879682541,
-0.9246647953987122,
0.46837687492370605,
0.7118551731109619,
0.3963550925254822,
-0.3525352478027344,
-0.3800837993621826,
-0.0724184438586235,
-1.0066704750061035,
-0.3426609039306640... |
You will be given a definition of a task first, then some input of the task.
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.
ਸੈਂਟਰਲ ਵਾਟਰ ਕਮਿਸ਼ਨ ਲਈ ਇਹ ਵਿਕਸਿਤ ਮਾਰਗ ਲਾਭਦਾਇਕ ਹੋਵੇਗਾ , ਕਿਉਂਕਿ ਅਲਾਟ ਕੀਤੀ ਭੂਮੀ ਉ... | அந்த இடத்தில் அமைக்கப்பட உள்ள மத்திய நீர்வள ஆணையத்தின் உயர் சிறப்பு மையத்திற்கு, விரிவுப்படுத்தப்பட்ட சாலை மிகவும் பயனுள்ளதாக அமையும். | 1 | NIv2 | task1015_pib_translation_punjabi_tamil | zs_opt | [
0.015323198400437832,
0.8370603322982788,
-0.08459248393774033,
0.39079222083091736,
0.024883830919861794,
-1.0994360446929932,
0.7701640129089355,
0.2019839882850647,
-0.07086367905139923,
0.24042055010795593,
0.28551849722862244,
0.05736343562602997,
-0.7859938144683838,
0.24677187204360... |
Teacher:In this task, we ask you to write an answer to a question that involves “event duration", based on a given sentence. Here, event duration is defined as the understanding of how long events typically last. For example, “brushing teeth”, usually takes a few minutes. Note that a lot of the questions could have mor... | two days. | 6 | NIv2 | task004_mctaco_answer_generation_event_duration | zs_opt | [
-0.19127677381038666,
0.3518833816051483,
0.16067194938659668,
-0.7003156542778015,
-0.49955588579177856,
-0.04385438561439514,
0.3980010449886322,
0.3945000171661377,
0.023612130433321,
0.012994157150387764,
0.1637304127216339,
0.7246636152267456,
-0.46712255477905273,
0.1898399144411087,... |
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.
Let me give you an example: ['8129', 'a', '4245', 'y', 'm', 'a'... | b, e, n, t, y | 8 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | fs_opt | [
0.10741603374481201,
0.10351838916540146,
-0.04966191202402115,
-0.5302059650421143,
0.6168670058250427,
-0.21856029331684113,
0.5459766387939453,
0.24932719767093658,
0.00391213595867157,
0.15926769375801086,
-0.7014509439468384,
-0.36464160680770874,
-0.24472934007644653,
-0.163924351334... |
Q: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have... | Yes | 7 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
0.09033653885126114,
0.0541931614279747,
0.5974864363670349,
-0.07415695488452911,
-0.17831137776374817,
-1.322815179824829,
1.4672083854675293,
0.3104493021965027,
-0.47932058572769165,
-0.5591886043548584,
0.02806052379310131,
-0.022519560530781746,
-0.7874572277069092,
0.616501092910766... |
Translate the given Spanish text to English
Input: Consider Input: The present invention further provides peptides that include one, two, or several amino acid insertions, substitutions or additions to the aforementioned peptides or fragments, but yet retain the requisite cytotoxic T cell inducibility.
Output: La pre... | Output: El suavizador puede ser, por ejemplo, un polisiloxano.
| 2 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
-0.2175956517457962,
-0.3176998198032379,
-1.495171308517456,
0.798145055770874,
0.374847948551178,
-0.7983561754226685,
-0.35475364327430725,
0.7961642146110535,
0.13505548238754272,
0.4376525282859802,
-0.664732813835144,
0.08169271051883698,
-0.11853095144033432,
-0.24907442927360535,
... |
Q: In this task, you will be presented with a question having multiple possible answers in Spanish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Sam era un ingeniero de sonido. Era bueno en el trabajo, porque el sonido era la fo... | E | 7 | NIv2 | task1131_xcsr_es_commonsense_mc_classification | zs_opt | [
-0.1046316921710968,
0.6323732733726501,
0.19886645674705505,
-0.4884589910507202,
-0.02927052602171898,
-0.6740387678146362,
-0.089474618434906,
1.5111303329467773,
-0.20447570085525513,
0.11035413295030594,
0.3831711411476135,
0.04755435138940811,
0.23854106664657593,
-1.1190505027770996... |
Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Solution: Писатель может печатать письменные задания на принтере. | 5 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
-0.17492139339447021,
0.4481109380722046,
0.1962604969739914,
-0.5378507375717163,
-0.5594204068183899,
0.28575047850608826,
0.1776691973209381,
1.579885721206665,
0.6448377370834351,
-0.602928638458252,
-0.8682059049606323,
-0.303034245967865,
-0.037221670150756836,
0.048747915774583817,
... |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
これは木工用の機械か何かですが私のタスクはこの機械を少しモダンにしてすこし使い易くすることでした
A: | Es una máquina de carpintería, o por lo menos parte de una. Y mi trabajo era hacer que esta cosa fuese un poquito más moderna, un poquito más fácil de usar. | 7 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.4237254858016968,
0.2551490366458893,
-0.36340272426605225,
-0.843828022480011,
-0.024853283539414406,
-1.2639541625976562,
0.015610666945576668,
0.7317081689834595,
0.42398521304130554,
-0.5355829000473022,
-0.0342685841023922,
0.31831997632980347,
-0.05666224658489227,
0.2147814333438... |
This task is about translating a given English language sentence to Spanish.
[Q]: In Egyptian iconography, the snake and bird represent the duality or polarity of human nature.
[A]: En la iconografía egipcia, la serpiente y el pájaro representan la dualidad o polaridad de la naturaleza humana.
[Q]: Then we fear the ... | He comes and goes.he
| 5 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-1.0629603862762451,
0.25181418657302856,
0.0917646512389183,
-0.6121760010719299,
-0.6329226493835449,
-0.12643858790397644,
0.7692157030105591,
0.2942606210708618,
0.29231590032577515,
0.024917522445321083,
0.505098283290863,
0.5869918465614319,
-1.120394229888916,
-0.0064340634271502495... |
Given a text, write a compressed version of it in a single sentence.
[Q]: You can help be a part of this magic. We need your help and participation in our acclaimed education program.
[A]: We need your help & particiaption in our acclaimed education program in this Magic
[Q]: The savings are counted in more ways tha... | "Gilded Age" just an expression? The Wall Street Journal says a men's fashion trend is weaving gold into suits.
| 5 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.3615330457687378,
1.2393027544021606,
-0.221104234457016,
-0.9834744334220886,
-0.3799683749675751,
-0.6501770615577698,
0.3315442204475403,
1.1255275011062622,
0.2609933614730835,
-0.28945836424827576,
-0.13811996579170227,
-0.31898587942123413,
-0.48612144589424133,
-0.300356119871139... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Sentence: 'fresh ham and cheese pizza before it has been cut'. Remove all words of length '4' in the given sentence. | fresh ham and cheese pizza before it has cut | 0 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
0.4566861689090729,
0.1894124448299408,
0.1391286849975586,
-0.4570722281932831,
-0.016291800886392593,
-0.794008731842041,
-0.10795770585536957,
0.44436487555503845,
-0.10456984490156174,
-0.07225309312343597,
-1.1031004190444946,
-0.5047639012336731,
-0.3328213393688202,
-0.4076137542724... |
You will be given a definition of a task first, then some input of the task.
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... | neutral | 1 | NIv2 | task1554_scitail_classification | zs_opt | [
-0.5704149007797241,
0.369398295879364,
0.021063445135951042,
-0.11428558826446533,
-0.3134235143661499,
-0.5019419193267822,
-0.23946622014045715,
0.6025867462158203,
-0.060196589678525925,
-0.3914489150047302,
-0.8084043860435486,
-0.6363300085067749,
-0.370158851146698,
-0.1293343305587... |
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
One example is below.
Q: Questions are gathered from anonymized, aggregated queries to the Google search engine... | What is the best performing model? | 9 | NIv2 | task461_qasper_question_generation | fs_opt | [
-0.38021236658096313,
-0.17111961543560028,
-0.17055651545524597,
0.5557430982589722,
0.1680639684200287,
-0.260945588350296,
0.44805747270584106,
0.7530272006988525,
0.21260808408260345,
0.542468249797821,
-0.3699003756046295,
0.02656685747206211,
-1.0095770359039307,
0.11039212346076965,... |
Teacher: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 ... | (1, 2) | 6 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.36263206601142883,
0.6553268432617188,
-0.5023096799850464,
-1.0852429866790771,
0.26595813035964966,
-0.6812436580657959,
0.37300267815589905,
0.5398003458976746,
0.2610257863998413,
-0.1388813555240631,
-0.2466391772031784,
-0.16938930749893188,
-0.5929087996482849,
-0.242805093526840... |
Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Porque hay líderes y hay personas que lideran.
| Perché ci sono i leader e ci sono quelli che guidano. | 5 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-1.0586867332458496,
0.7316277027130127,
-0.101369708776474,
-0.34990155696868896,
-0.3586167097091675,
-0.45832768082618713,
0.3634512424468994,
0.2552970051765442,
-0.07631079852581024,
-0.8379138112068176,
-0.277884304523468,
0.46461212635040283,
-0.5533524751663208,
0.17078183591365814... |
In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise sentence. Please answer with "Contradiction", "Neutral", or "Entailment".
Example Input: Premise: Bazinama is... | Entailment
| 3 | NIv2 | task1385_anli_r1_entailment | fs_opt | [
0.5752214193344116,
-0.08898487687110901,
-0.5950518846511841,
-0.1749921441078186,
0.4445607662200928,
-0.49640417098999023,
1.0954735279083252,
0.7640930414199829,
0.2825621962547302,
-0.007402997929602861,
-0.49561336636543274,
1.0344388484954834,
-0.8851797580718994,
-0.473495066165924... |
You will be given a definition of a task first, then some input of the task.
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 .
Statement: సమీప బాలబడి అడ్డతీగలలోను, ... | యార్లగడ్డ | 1 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | zs_opt | [
0.41097307205200195,
1.0950220823287964,
0.43352144956588745,
-0.5665792226791382,
-0.07811352610588074,
-0.46864038705825806,
0.17510195076465607,
0.9172109961509705,
-0.0911388024687767,
-0.17403559386730194,
-0.28987735509872437,
-0.3820321559906006,
-0.34606829285621643,
-0.17304161190... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Cremos ter atopado a forma de facelo e ides ser os primeiros en coñecela. | We believe that we have found a way to do so, and this is the first time that we've shown it in public. | 0 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.6926136016845703,
1.181214451789856,
0.44883179664611816,
-0.3802635073661804,
-0.1469077616930008,
-1.3617722988128662,
0.33389657735824585,
0.01641765609383583,
0.48180264234542847,
0.20399662852287292,
-0.18929339945316315,
-0.07176530361175537,
-0.4918363690376282,
0.345216572284698... |
Part 1. Definition
In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Part 2. Example
ACTION1: telling my friends sister that she probably won'... | no | 7 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | fs_opt | [
-0.07592883706092834,
0.2913384735584259,
0.49986156821250916,
0.36307990550994873,
-0.28614020347595215,
-0.5564593076705933,
0.1727219521999359,
0.25540733337402344,
0.2155408412218094,
0.5379482507705688,
-0.24420112371444702,
-0.4161386489868164,
-0.8574079275131226,
-0.438538283109664... |
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
इस बार-पुणे-संधि-की तरफ जब ब्रिटिश सरकार का ध्यान दिलाया गया... | English
| 0 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | fs_opt | [
-0.020720914006233215,
0.34741610288619995,
0.013962483033537865,
-0.006724084261804819,
0.27357766032218933,
-0.5159162282943726,
0.4473576247692108,
-0.0613667294383049,
0.40096205472946167,
-0.9074282646179199,
-0.6729257702827454,
-0.19237937033176422,
0.05212198197841644,
0.0996343046... |
TASK DEFINITION: Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
PROBLEM: Question1: What are some similarities and differences between the Republican Party and the Conservative Party (UK)?, Question2: What faction of the UK Conse... | No
| 8 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.4775303602218628,
0.3185265064239502,
0.18042172491550446,
-0.019940275698900223,
-0.6158278584480286,
-0.14075136184692383,
1.1977277994155884,
0.5772080421447754,
0.17928142845630646,
-0.023225558921694756,
-0.05420278012752533,
-0.2737405598163605,
-0.1995500773191452,
0.215868711471... |
In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain conditions apply. A ... | SELECT Avg ( T2.price ) FROM Customers AS T1 JOIN Lessons AS T2 ON T1.customer_id = T2.customer_id WHERE T1.first_name = "Janessa" AND T1.last_name = "Sawayn" | 4 | NIv2 | task077_splash_explanation_to_sql | zs_opt | [
0.44890809059143066,
0.541466236114502,
-1.2209125757217407,
0.7250956892967224,
-0.4262982904911041,
-0.07454170286655426,
0.8412330746650696,
0.9026896953582764,
-0.5032902956008911,
0.514156699180603,
0.3867515027523041,
0.5061689615249634,
-0.10247894376516342,
0.35026299953460693,
0... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Example input: E eu continuo a pensar que o transporte é o centro deste universo.
Example output: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Example explanation: The Portugese sentence is correctly translated... | همچنین این کمپین ها آسیب فیزیکی کمتری رو به اونهایی که از اون حمایت می کنند ، و همچنین مخالفینش وارد می کنند. | 3 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.657913863658905,
0.8879925012588501,
0.44742944836616516,
0.37083861231803894,
-0.8349876403808594,
-0.5051405429840088,
0.5712332725524902,
0.6202384233474731,
0.34323614835739136,
0.2799733281135559,
-1.0306050777435303,
0.5467240810394287,
-0.5267353057861328,
0.369364857673645,
0.... |
Detailed Instructions: In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and... | 4, Danny and his best friend manned the boat. | 4 | NIv2 | task299_storycloze_sentence_generation | fs_opt | [
-0.5702563524246216,
0.7262080907821655,
-0.15457594394683838,
-0.4573153555393219,
0.07689573615789413,
-0.31043189764022827,
0.48633241653442383,
0.8960751295089722,
0.38892441987991333,
0.13589099049568176,
-0.7547656297683716,
-0.36976954340934753,
-0.5344104766845703,
0.19455845654010... |
Given the task definition, example input & output, solve the new input case.
The provided file includes inquiries about restaurants in Chinese, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally writte... | search for " vegetarian " restaurants with 0 star reviews or better . | 1 | NIv2 | task260_spl_translation_zh_en | fs_opt | [
-0.35586339235305786,
0.8197481036186218,
0.09031666815280914,
0.27062639594078064,
0.2092496156692505,
-0.37436556816101074,
0.26932594180107117,
0.8408808708190918,
-0.3396650552749634,
-0.36269184947013855,
0.4278385639190674,
0.43482112884521484,
-0.038537029176950455,
0.10492112487554... |
Detailed Instructions: This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The... | [['Madrid', 'IS_PART_OF', 'Community of Madrid'], ['Adolfo Suárez Madrid–Barajas Airport', 'ELEVATION', '610.0'], ['Adolfo Suárez Madrid–Barajas Airport', 'LOCATION', 'Madrid'], ['Madrid', 'COUNTRY', 'Spain']] | 8 | NIv2 | task1410_dart_relationship_extraction | zs_opt | [
-0.19626682996749878,
0.8241763710975647,
-0.5647595524787903,
-0.7221561670303345,
-0.5869683027267456,
0.37977683544158936,
1.5078885555267334,
0.359500527381897,
0.10857658088207245,
-0.39838752150535583,
-0.9943065047264099,
0.0792970359325409,
-0.5391121506690979,
0.22662246227264404,... |
Detailed Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations an... | There are three similarly sized cylinders: what is the color of the one farthest back in the group? | 4 | NIv2 | task184_break_generate_question | fs_opt | [
0.7293803691864014,
-0.05569291114807129,
-0.6496008038520813,
0.22564396262168884,
0.16739578545093536,
-0.28593477606773376,
0.6599478721618652,
0.5209362506866455,
-0.4663282632827759,
0.6740769147872925,
-0.34735429286956787,
0.42448633909225464,
0.09590162336826324,
0.1485345065593719... |
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
[EX Q]: Event:PersonX finally got around. Intent: 1) to l... | endangered
| 6 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.13307613134384155,
0.09659038484096527,
0.1713941991329193,
-0.49675700068473816,
-0.7308768630027771,
-0.3176719844341278,
1.0244060754776,
0.42358267307281494,
0.2022610455751419,
-0.39469391107559204,
0.15397870540618896,
-0.001387995551340282,
-0.4908732771873474,
0.26399195194244385... |
Instructions: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Input: what does Ulvi Dogan appear in?
Output: | Dry Summer | 3 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.30162060260772705,
0.2728846073150635,
-0.8867232799530029,
0.6052355766296387,
-0.7498468160629272,
0.4173251688480377,
1.384217381477356,
0.07511437684297562,
0.290044367313385,
-0.8484116196632385,
-0.7643033266067505,
0.38748136162757874,
-0.3369680643081665,
0.022629663348197937,
... |
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: If you like jasmine tea, This is a great tea! Its lite not, overly medicine tasting like jasmine tea can be. Its also fun to watch the tea leav... | True | 4 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
-0.3412454128265381,
-0.09405198693275452,
-0.1817135214805603,
-0.43337175250053406,
0.001498774392530322,
-0.673372745513916,
0.7975379228591919,
0.13920235633850098,
0.3054850697517395,
0.2313496172428131,
0.3974969983100891,
-0.11290140450000763,
-0.710082471370697,
0.05244268476963043... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
Q: Jerusalem (CNN) Long-time Palestinian riv... | (E) | 4 | NIv2 | task302_record_classification | zs_opt | [
0.9264014363288879,
0.36628657579421997,
0.11717291176319122,
-0.011246002279222012,
0.04099491983652115,
-0.35605716705322266,
1.4564039707183838,
0.6793186664581299,
0.5457357168197632,
0.5121287107467651,
-0.08008842170238495,
1.179518461227417,
-1.2183886766433716,
0.09628477692604065,... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Ex Input:
Sentence: 'a brown bull with very long horns walking through a forest'. Remove all words of length '4' in the given sentence.
... | a sitting on a desk next to a computer
| 1 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
-0.22793202102184296,
0.4298384189605713,
-0.5856454372406006,
-0.4221368134021759,
-0.1424107849597931,
-0.682570219039917,
-0.1716446876525879,
0.3600107431411743,
-0.15047630667686462,
-0.27107375860214233,
-0.9907244443893433,
-0.11868905276060104,
-0.4872691035270691,
-0.1543303281068... |
Definition: In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Input: (A) stopping helping my friend apply for university
(B) getting after my boyfriend ... | A | 2 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.3749973475933075,
0.432769775390625,
0.42204681038856506,
-0.7323638796806335,
-0.772327184677124,
-0.31300461292266846,
0.17238107323646545,
0.24501045048236847,
0.4694085717201233,
0.20131409168243408,
-0.7674610018730164,
-0.25194692611694336,
0.33662205934524536,
-0.7153590321540833... |
Q: In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Has a woman ever raped a man?
A: | If a woman rapes a man and gets pregnant, what rights does the man have? Would he have to pay child support? | 7 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-0.19190579652786255,
1.5704877376556396,
-0.3039189577102661,
-0.4619954824447632,
-0.5217822194099426,
0.006328459829092026,
0.7428138256072998,
0.16218248009681702,
0.10421491414308548,
0.08693081885576248,
-0.6954848766326904,
0.6063249111175537,
-0.4323112368583679,
0.0642996281385421... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: English: According to Navi Pillay, High Commissioner for Human Rights at the Uni... | Yes
****
| 4 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
0.3571481704711914,
-0.751577615737915,
0.33151599764823914,
0.461275190114975,
0.6367577910423279,
-0.42348143458366394,
0.7241142392158508,
0.5033303499221802,
-0.37991106510162354,
0.700229287147522,
-0.11354553699493408,
0.5373883247375488,
-0.5270912647247314,
0.3660421371459961,
0.... |
The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
Ex Input:
... | curry nignog streetpooper
| 1 | NIv2 | task1504_hatexplain_answer_generation | fs_opt | [
-0.8208308815956116,
0.49841880798339844,
0.15134572982788086,
0.6983277201652527,
-0.24067682027816772,
-0.8274771571159363,
-0.4153832793235779,
0.8741178512573242,
0.5448929071426392,
0.505115270614624,
-0.580288290977478,
0.18051058053970337,
-0.6373445987701416,
-0.7690805196762085,
... |
Given the task definition and input, reply with output. 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 additio... | strengthener | 5 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.5112383961677551,
0.7428666353225708,
0.21558263897895813,
0.3295150697231293,
0.10919605940580368,
-0.5070525407791138,
0.6444886922836304,
0.7045619487762451,
0.4734511971473694,
-0.6287034749984741,
-1.4005358219146729,
-0.0348009318113327,
-0.3541286587715149,
0.13536156713962555,
... |
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any external k... | Who realizes someone discovered Soneji? | 3 | NIv2 | task193_duorc_question_generation | fs_opt | [
0.5828489065170288,
-0.01928190141916275,
-0.6584047079086304,
-0.3238043189048767,
0.5006282329559326,
-0.3354071378707886,
0.6419180035591125,
0.9716072082519531,
0.024263247847557068,
0.10963708162307739,
-0.4648875594139099,
0.4797282814979553,
-0.5479211807250977,
0.5252476930618286,
... |
The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user may ask details of the place suggeste... | Output: You want to find an English restaurant. You don't care about the price range. Make sure you get the address and area of the venue.
| 2 | NIv2 | task1499_dstc3_summarization | fs_opt | [
0.29248204827308655,
0.2666216492652893,
-0.13238003849983215,
-0.15591315925121307,
0.6095949411392212,
-0.6035664081573486,
0.6420902013778687,
0.9532003998756409,
-0.18925665318965912,
0.16552917659282684,
0.3038082718849182,
-0.07860209047794342,
-0.5728020071983337,
0.1146484464406967... |
Q: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Review: Well, I'd heard from somewhere that Ossessione is a prec... | no | 7 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.43933504819869995,
0.15262840688228607,
-0.2368248701095581,
0.46028316020965576,
0.6213237047195435,
-0.39917632937431335,
0.8603716492652893,
1.059835433959961,
0.3424660563468933,
0.32469433546066284,
-0.3186407685279846,
0.11532974243164062,
-0.7122124433517456,
0.4476235508918762,
... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Input: Echemos un vistazo a la actualidad.
Output: | Vamos ver como é hoje. | 2 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
0.2416994869709015,
0.8669586181640625,
0.07499834895133972,
-0.29847845435142517,
-0.1760251522064209,
-0.2420080155134201,
-0.2947435677051544,
1.0573197603225708,
1.0715594291687012,
-0.10463742911815643,
-0.7724390029907227,
-0.1089644804596901,
0.01774003729224205,
0.41012459993362427... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another in... | red_pantry
| 5 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
-0.4800058603286743,
-0.34884488582611084,
-0.5456677675247192,
-0.08996948599815369,
-0.48034608364105225,
-0.48198992013931274,
-0.03488614410161972,
0.7910051345825195,
0.026767825707793236,
-0.07901082932949066,
-0.1939023733139038,
0.18413659930229187,
-0.43715399503707886,
0.24982635... |
Detailed Instructions: Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
See one example below:
Problem: Somali sentence: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Solution: Lionel Messi is the greatest football player of... | Kaqaybgaleyaasha ayaa isweydaarsaday fikrado ku aaddan qaab-dhismeedka sharciga iyo sidii uu u noqon lahaa mid suuragalin kara in la cirib-tiro gabi ahaanba kufsiga. | 4 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
-0.13791602849960327,
0.5734109878540039,
-0.1415879875421524,
-0.16945549845695496,
0.1597946137189865,
-1.0015778541564941,
-0.1479838490486145,
0.8498212695121765,
0.36893588304519653,
-0.12177656590938568,
0.17334946990013123,
1.1680963039398193,
-0.5207404494285583,
0.0957123115658760... |
In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesis sentence based on the label and the premise sentence. Your sentence should ... | من دقیقاً می دانم | 0 | NIv2 | task464_parsinlu_entailment_sentence_generation | zs_opt | [
-1.0467326641082764,
0.0844646543264389,
0.4163379371166229,
0.10323982685804367,
-0.3993804454803467,
-1.1358284950256348,
0.3890146017074585,
0.19996702671051025,
0.028900714591145515,
-0.48514488339424133,
-1.019810438156128,
0.3586570620536804,
-0.7400490045547485,
0.06925520300865173,... |
Detailed Instructions: In this task, you are given a sentence in Arabic, and your task is to translate it into English.
See one example below:
Problem: أمي - سأعود بالحال -
Solution: Mommy will be right back.
Explanation: This is a good example. The above sentence is correctly translated from Arabic to English.
Proble... | Yeah, but how are you feeling? | 4 | NIv2 | task650_opus100_ar_en_translation | fs_opt | [
-0.26737502217292786,
-0.11640795320272446,
-0.09706041216850281,
-0.7685191631317139,
-0.3310587704181671,
-0.7093009352684021,
1.1491780281066895,
1.2210197448730469,
0.4094806909561157,
0.26518386602401733,
-0.4368046522140503,
0.615937352180481,
-0.6482862234115601,
-0.0737164914608001... |
Detailed Instructions: In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, indu... | electronics | 9 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.27074193954467773,
0.2048514038324356,
-0.5073632001876831,
-0.031638242304325104,
0.3208020329475403,
-0.05243248492479324,
-0.14278888702392578,
0.35093486309051514,
-0.19222983717918396,
0.7124659419059753,
0.09941966831684113,
0.6741153597831726,
-0.3023282587528229,
-0.567868828773... |
Instructions: This task is about translating a given Yoruba language sentence to English.
Input: Ó kéré tán èèyàn mẹ́ta ló pàdánù ẹ̀mí wọn.
Output: | At least three people were killed. | 3 | NIv2 | task1686_menyo20k_translation | zs_opt | [
0.5675292611122131,
0.7584545612335205,
0.020227350294589996,
-0.4234544634819031,
-0.13762019574642181,
-0.742640495300293,
0.71528160572052,
-0.653329074382782,
-0.22089873254299164,
-0.48130983114242554,
0.15594163537025452,
0.8368580341339111,
-0.6197002530097961,
-0.268632173538208,
... |
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 Telugu language. The translation must not omit or add information to the original sentence.
కేంద్రంలో మోదీ ప్రభుత్వం 3 సంవత్సరాల పాన పూర్తి సందర్భంలో 2017 జూన్ 1న హైదరా... | Ministry of Mines VIKAS PARV ON 1ST JUNE IN HYDERABAD TO COMMEMORATE THE COMPLETION OF 3 YEARS OF NDA RULE AT THE CENTRE | 1 | NIv2 | task1048_pib_translation_telugu_english | zs_opt | [
-0.06338731944561005,
0.4106718897819519,
-0.2015371322631836,
-0.4626352787017822,
-0.2550199031829834,
-0.629851222038269,
0.47353583574295044,
0.7005738019943237,
0.10227003693580627,
-0.004669378511607647,
-0.20835059881210327,
0.025287674739956856,
-0.9924710988998413,
0.4238350987434... |
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example: English: Details were given by the UK Transport Secretary, Ruth Kelly, in the Hou... | Solution: Yes | 5 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.15847346186637878,
0.12619508802890778,
0.5727252960205078,
0.8759559392929077,
0.5463842749595642,
-0.3914659023284912,
-0.43891116976737976,
0.28138571977615356,
-0.5453842878341675,
-0.21434162557125092,
0.14222946763038635,
0.41677325963974,
0.12690778076648712,
0.188658207654953,
... |
Detailed Instructions: The provided file includes inquiries about restaurants, and we ask you to translate those to the Turkish language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *... | bana " alex smith " tarafından " chinese " restoranlar hakkında yazılmış tüm değerlendirmeleri göster. | 9 | NIv2 | task252_spl_translation_en_tr | zs_opt | [
-0.39021527767181396,
0.2845800817012787,
0.07812659442424774,
-0.2257796823978424,
0.08204333484172821,
0.02955229952931404,
0.8099241852760315,
-0.14992280304431915,
-0.12794603407382965,
-0.08197209984064102,
0.5251878499984741,
0.2048051953315735,
-0.4499138593673706,
0.805189609527587... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Input: Con este tipo de imágenes — este tipo de vistas de luces infrarrojas, ultravioleta o invisible — nunca podríamos haber hecho las vistas a través de los plagios en oro.
Output: | Con questo tipo di immagini — questo tipo di immagini create con luce infrarossa, ultravioletta ed invisibile — siamo stati in grado di creare immagini andando oltre le falsificazioni d'oro sul fondo. | 2 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.7739008665084839,
0.9548180103302002,
-0.1492321491241455,
0.2045503407716751,
-0.4598349928855896,
0.4270556569099426,
-0.22268658876419067,
1.615172028541565,
0.19100479781627655,
-0.5770748853683472,
-0.03502611070871353,
-0.29166102409362793,
0.40725696086883545,
0.29691290855407715... |
Teacher:You are given a sentence in English. Your job is to translate the English sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: We don't have to choose between inspired employees and sizable profits, we can have both.
Student: | Nie musimy wybierać między zmotywowanymi pracownikami a dużymi dochodami. Możemy mieć jedno i drugie. | 6 | NIv2 | task1092_ted_translation_en_pl | zs_opt | [
-0.32085227966308594,
0.32757094502449036,
0.47200316190719604,
-0.1914759874343872,
-0.5597493648529053,
-1.1332216262817383,
0.24987176060676575,
-0.08994649350643158,
0.47028154134750366,
0.10163423418998718,
0.09157818555831909,
-0.5071951150894165,
-0.23307012021541595,
-0.57884204387... |
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
One example: [7, 1, 5, 8, -4]
Solution is here: [6, 4, 3, 12]
Explanation: The... | [44, 67, 60, 178, 151, 25] | 6 | NIv2 | task125_conala_pair_differences | fs_opt | [
-0.6724299192428589,
0.6586354970932007,
-0.628191351890564,
-0.05519893020391464,
-0.41370949149131775,
0.14117412269115448,
0.9746105670928955,
0.4798097014427185,
0.5744118690490723,
-0.6331493854522705,
-0.16872897744178772,
-0.36185890436172485,
-0.12208669632673264,
0.054198198020458... |
Definition: A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: আজ গোটা দেশ সর্দার বল্লভভাই প্যাটেলের স্মৃতিতে রাষ্ট্রীয় একতা দিবস পালন করছে।
Output: | सरदारसाहेबांकडून मिळालेला हा एकप्रकारचा आशीर्वादच आहे, असे मी मानतो. | 2 | NIv2 | task1061_pib_translation_bengali_marathi | zs_opt | [
-0.6199506521224976,
0.9385844469070435,
-0.19236034154891968,
0.278599351644516,
-0.20311051607131958,
-1.2621054649353027,
0.8639798760414124,
0.19940054416656494,
0.3092128336429596,
-0.3217773735523224,
-1.1429758071899414,
0.14895859360694885,
-0.016269579529762268,
0.3195971250534057... |
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.
оу... | sadness | 0 | NIv2 | task1662_cedr_ru_classification | zs_opt | [
-0.947898268699646,
-0.14344006776809692,
0.10231608152389526,
-0.17318004369735718,
-0.42237499356269836,
-0.5461216568946838,
0.38092494010925293,
1.2079639434814453,
0.203566312789917,
0.0065254890359938145,
-0.24459165334701538,
-0.38256627321243286,
0.4290089011192322,
0.2924149632453... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
אבל מה שגילינו בהדמיות המוח היא תמונה עשירה ומרתקת של המוח האנושי.
A: | En lugar disto, o que as técnicas de imaxe do cerebro amosan é esta imaxe rica e interesante da mente humana. | 7 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-0.978631854057312,
0.6335632801055908,
0.829962968826294,
-0.807808518409729,
-0.6863894462585449,
-0.2939440608024597,
0.7795552015304565,
-0.13196103274822235,
1.1330671310424805,
-1.0109519958496094,
-0.7560635805130005,
0.18302828073501587,
-0.24504593014717102,
0.7586994767189026,
... |
Given the task definition, example input & output, solve the new input case.
Given a question, generate a paraphrase of that question wihout changing the meaning of it. Your answer should reword the given sentence, but not add information to it or remove information from it. The answer to your question should be the sa... | who was the last great absolute european monarch? | 1 | NIv2 | task442_com_qa_paraphrase_question_generation | fs_opt | [
0.16572661697864532,
0.9588086605072021,
0.6214033365249634,
-0.2727500796318054,
0.20552054047584534,
-0.40297049283981323,
0.8673819303512573,
0.6568032503128052,
-0.4002546966075897,
-0.11654485762119293,
-0.7263399362564087,
0.03589041903614998,
-0.4374542236328125,
0.09862713515758514... |
Definition: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: داراي سرکردن .
Output: | head . | 2 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
0.14571645855903625,
0.2822933793067932,
-0.054972242563962936,
-0.2473815232515335,
-0.23225849866867065,
0.20677360892295837,
0.9577475786209106,
0.07708892971277237,
0.7605245113372803,
0.041909582912921906,
-0.8474823832511902,
-0.00041690305806696415,
-0.2695094048976898,
0.4552533030... |
Given the task definition and input, reply with output. In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sen... | second | 5 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
-0.32753005623817444,
0.839665412902832,
-0.23760248720645905,
-0.09007994830608368,
-0.38134703040122986,
-0.009453834965825081,
0.4178394675254822,
0.4052511155605316,
0.34474727511405945,
0.09948514401912689,
-0.3490726351737976,
-0.052037838846445084,
-0.6059088706970215,
-0.5718948841... |
You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
Q: System Reference: a la turca restaurant, is cheap.
Original Reference: a la tur... | 1 | 4 | NIv2 | task1186_nne_hrngo_classification | zs_opt | [
-0.43484729528427124,
1.1353659629821777,
-0.678345263004303,
0.31392037868499756,
-0.5211172103881836,
-0.021108150482177734,
0.8955701589584351,
0.7172783613204956,
-0.06537602841854095,
-0.06454510241746902,
-0.21422506868839264,
0.4759995937347412,
-0.7051033973693848,
0.41530171036720... |
Definition: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = ... | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', ... | 2 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.6968713998794556,
-0.25667285919189453,
-0.40475648641586304,
-0.08904534578323364,
0.6855422258377075,
-0.4338994026184082,
0.5398496985435486,
0.8832780122756958,
-0.4774015545845032,
0.1384076327085495,
-0.2267848700284958,
0.05699004977941513,
-0.28419941663742065,
-0.182880073785781... |
Teacher: You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the paragraph.
Te... | What do you think of canadian prime minister Paul Martin attitude in the kioto conference in Montreal? | 2 | NIv2 | task1594_yahoo_answers_topics_question_generation | fs_opt | [
-0.9041948318481445,
0.16615507006645203,
-0.5413405895233154,
0.20475676655769348,
0.4714711308479309,
-0.05597919225692749,
-0.4169592559337616,
0.9129705429077148,
-0.0433175265789032,
0.6904088258743286,
0.3779106140136719,
0.3143255114555359,
0.0989040732383728,
0.2845453917980194,
... |
Given the task definition and input, reply with output. In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is ... | [{'first': -79, 'second': 86}, {'first': -72, 'second': -84}, {'first': -43, 'second': -66}, {'first': -10, 'second': 56}, {'first': -3, 'second': -31}, {'first': 35, 'second': -53}, {'first': 66, 'second': 74}, {'first': 95, 'second': 80}] | 5 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
-0.25373801589012146,
0.06889734417200089,
0.19335561990737915,
-0.023943381384015083,
0.335725337266922,
-0.007827620953321457,
0.08523193746805191,
0.8444980382919312,
-0.06254234910011292,
-0.34098559617996216,
-0.8056401014328003,
-0.37416765093803406,
-0.6407559514045715,
-0.511666834... |
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.
Input: Consider Input: At the end of 2009's \""SBC Goes to Vegas\"" epic comedy/tragedy, JMC, Cobber, and I sp... | Output: NEGATIVE
| 2 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
0.13915802538394928,
-0.17732389271259308,
-0.6918920874595642,
0.0043825414031744,
0.475796103477478,
-0.28804269433021545,
1.077366828918457,
1.1986351013183594,
0.13237878680229187,
0.07929757982492447,
1.1565630435943604,
-0.11265576630830765,
-0.14915969967842102,
0.04964778199791908,... |
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