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 the task definition and input, reply with output. You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Category: MIDDLE NAME, PLEASE
Clue: ... | rosalynn | 5 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-1.1827871799468994,
0.7614858150482178,
-0.5736129283905029,
-0.05202210694551468,
0.1054627075791359,
-0.20374977588653564,
0.5902067422866821,
-0.04659734293818474,
0.3762734532356262,
-0.30820608139038086,
-0.32633906602859497,
0.19098137319087982,
-0.3383222818374634,
-0.3480675220489... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
خوشحالم که بحث در این مورد شروع شده. | Felizmente está a haver discussão em torno deste assunto. | 0 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.46682208776474,
0.4945981502532959,
-0.24275261163711548,
0.5874199867248535,
-0.4207543134689331,
0.6600707769393921,
0.15212887525558472,
0.16524511575698853,
1.3242067098617554,
-0.3829795718193054,
-0.684456467628479,
-0.03076082654297352,
-0.03466898202896118,
0.5776097774505615,
... |
Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
Q: The ideal gas law does not require that the... | copper change | 4 | NIv2 | task592_sciq_incorrect_answer_generation | zs_opt | [
-0.16086870431900024,
1.8479843139648438,
-0.031707651913166046,
-0.5195311903953552,
-0.780349850654602,
-0.96659255027771,
-0.27471762895584106,
-0.010343119502067566,
-0.2863314747810364,
-0.24401015043258667,
-0.482504665851593,
-0.23406948149204254,
-0.20291495323181152,
-0.6244742870... |
Detailed Instructions: In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Problem:Abstract: CONTEXT Maternal depressive symptoms during pregnancy have been reported in some, but not all, st... | no | 8 | NIv2 | task1587_scifact_classification | zs_opt | [
0.15141414105892181,
-0.5280829668045044,
-0.5622891187667847,
0.1283244788646698,
0.42663300037384033,
0.5369298458099365,
0.844573974609375,
0.8820946216583252,
-0.19544467329978943,
0.3743513822555542,
-0.7075639367103577,
0.8545269966125488,
-0.9250156879425049,
0.7069114446640015,
-... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Input: لكنني لاحظت أن هذا الأمر ليس صحيحا.
Output: | Ma ho anche notato che non stava funzionando. | 2 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
0.1292479932308197,
0.5659879446029663,
-0.7297544479370117,
-0.10822679847478867,
-0.7943547964096069,
-0.4305127263069153,
0.28432589769363403,
0.6361292600631714,
0.24364963173866272,
-0.35143643617630005,
-0.731300950050354,
-0.1009238064289093,
-0.32794278860092163,
0.1203978359699249... |
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 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, sub... | Option D | 0 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.3366185426712036,
0.4561672806739807,
-0.5160547494888306,
-0.8613119721412659,
-0.06521707773208618,
0.21620497107505798,
0.7710692882537842,
0.6031159162521362,
-0.017917407676577568,
-0.23491469025611877,
-0.2837144732475281,
0.3616396188735962,
-0.1522175669670105,
-0.612103819847106... |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: 一方、モルドバの首相ヴァシレ・タルレフ氏は木曜日、沿ドニエストルにいるロシア兵がチェチェン地域に兵器を供給したことを糾弾し、それに対しロシアの国防大臣セルゲイ・イワノフ氏は彼... | Yes
****
| 4 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
0.42981889843940735,
-0.3995858430862427,
0.08742981404066086,
-0.2708553969860077,
0.5582876205444336,
-0.5680949091911316,
0.5366393327713013,
0.6971583366394043,
-0.20309153199195862,
-0.05767292156815529,
0.08599162846803665,
0.3094484210014343,
-0.7823470234870911,
0.42383694648742676... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Dialogue 1: 'girlfrien... | no | 1 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.816795825958252,
0.22101914882659912,
0.06463776528835297,
-0.22753861546516418,
-0.15383468568325043,
0.4307258427143097,
0.8437893390655518,
-0.01417694054543972,
0.09113913774490356,
-0.053775206208229065,
0.08239957690238953,
-0.7882323861122131,
-0.41443753242492676,
0.175088346004... |
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
For the price this case is very nice. I find it a bit awkward to hold even while putting my hand it the strap. | nice | 0 | NIv2 | task1342_amazon_us_reviews_title | zs_opt | [
-0.3497324287891388,
0.24842704832553864,
-0.32447245717048645,
-0.12017099559307098,
0.16044239699840546,
-0.48878729343414307,
0.4206031262874603,
0.4432401657104492,
0.12001439929008484,
1.114434003829956,
-0.16585931181907654,
0.5340666770935059,
-0.6453397274017334,
0.0334797352552413... |
Detailed Instructions: In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
See one example below:
Problem: Sentence-1: I'm looking forward to it.<sep>Sentence-2: I did hear about the event next week .
Solution: Ye... | Yes | 4 | NIv2 | task566_circa_classification | fs_opt | [
-0.5940650701522827,
0.18291962146759033,
0.2985004186630249,
0.007604565471410751,
-0.22381451725959778,
-0.6937158703804016,
0.675862729549408,
0.8730827569961548,
0.5582301616668701,
0.0037495498545467854,
-0.47072896361351013,
-0.14530326426029205,
-0.4118309020996094,
0.12081210315227... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Q: Sentence 1: Loosening his hold of me, he mechani... | travel
****
| 4 | NIv2 | task197_mnli_domain_answer_generation | fs_opt | [
-0.8310925960540771,
0.46934032440185547,
0.3912000060081482,
-0.7589777708053589,
0.21744735538959503,
-0.09839095920324326,
-0.07322490960359573,
0.6156823039054871,
0.2002064734697342,
-0.20055070519447327,
-0.5292203426361084,
-0.4394815266132355,
-0.5237857103347778,
-0.39137524366378... |
Definition: 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 ha... | Yes | 2 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
0.10804054141044617,
0.2311612367630005,
0.026406753808259964,
-0.08358919620513916,
-0.5636286735534668,
-0.5369863510131836,
1.3889861106872559,
0.12746770679950714,
-0.18349498510360718,
-0.36155030131340027,
-0.21309340000152588,
-0.4037354290485382,
-0.5670657753944397,
0.236233502626... |
Teacher:You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to o... | Text two | 6 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-0.8502312898635864,
0.44358283281326294,
0.4584686756134033,
-0.5275872945785522,
0.2770962715148926,
-0.7241051197052002,
0.29513832926750183,
0.9270791411399841,
0.22300225496292114,
-0.5164351463317871,
0.12436655908823013,
-0.3305203914642334,
-0.4065472483634949,
-0.27021148800849915... |
Detailed Instructions: In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the questi... | The chair at the shop was a better bargain than the table because the price on the _ was marked higher. | 9 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.7743995189666748,
0.19194325804710388,
0.032161079347133636,
-0.28990989923477173,
0.5975263118743896,
-0.6470791101455688,
0.892427921295166,
0.9213042855262756,
-0.660679042339325,
-0.25475555658340454,
-0.24568308889865875,
0.27735549211502075,
-0.4676792621612549,
0.15632981061935425... |
Teacher:Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Teacher: Now, understand the problem? Solve this instance: Tweet: @anonymized_account @anonymized_account Moze był przeciąg w szpitalu i go rozwiało i nie ma co pokazać. , Question: Does the tweet co... | No | 6 | NIv2 | task839_cdt_classification | zs_opt | [
-0.9257044792175293,
0.7836973071098328,
0.49475157260894775,
0.3657728135585785,
-0.599777102470398,
-1.2740085124969482,
0.3238621652126312,
0.055057935416698456,
0.5433386564254761,
0.3293910026550293,
0.017714504152536392,
0.18543657660484314,
-0.2320880889892578,
-0.39649662375450134,... |
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
One example: Problem: walking at 5 / 6 th of its usual speed a cab is 15 mnts late . find its usual time to cover the journey ?
Options: a ) 25 m , b ) 45 m , c ) 32 m , d ) 75 m ... | b | 6 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.7547459006309509,
0.22524845600128174,
-0.176881805062294,
0.3791388273239136,
-0.1957169771194458,
-0.3355386257171631,
0.5163824558258057,
0.9372659921646118,
-0.34729504585266113,
-0.1676197052001953,
-0.9747313261032104,
-0.019668234512209892,
0.24384470283985138,
-0.2035417258739471... |
instruction:
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. St... | ["Let's", 'say', 'that', 'I', 'have', 'a', 'ramp', 'made', 'of', 'ice', 'sake', 'maybe', 'a', 'wedge', 'or', 'some', 'type', 'of', 'an', 'inclined', 'plane', 'made', 'of', 'ice', 'and', 'make', 'everything', 'of', 'ice', 'in', 'this', 'video', 'so', '', 'we', 'have', 'negligible', 'friction.', 'So', 'this', 'right', 'h... | 9 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | fs_opt | [
1.05867600440979,
-0.040601931512355804,
-0.09384001791477203,
-0.1358526647090912,
0.33776941895484924,
-1.2068912982940674,
0.21480876207351685,
0.7800099849700928,
-0.6700072288513184,
0.38155654072761536,
-0.21066191792488098,
-0.06590743362903595,
-0.09031648933887482,
-0.075947597622... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | No
| 7 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
1.0676990747451782,
-0.41969698667526245,
0.13348683714866638,
-0.30571749806404114,
-0.10270929336547852,
-0.9941632747650146,
1.192803978919983,
0.4740949273109436,
-0.6949623823165894,
-0.18744462728500366,
-0.4327196478843689,
0.1967029571533203,
-0.4127061367034912,
0.2227973639965057... |
A text is given in English. Translate it from the English language to the Gujarati language. The translation must not omit or add information to the original sentence.
Example input: Indias growth story is not only good for the people of India but also for the entire world
Example output: ભારતની વૃદ્ધિની વાર્તા ફક્ત ભ... | તેમણે કહ્યું હતું કે, દેશનાં યુવાનો ન્યૂ ઇન્ડિયાનાં નિર્માણમાં મહત્ત્વપૂર્ણ ભૂમિકા ભજવે છે. | 3 | NIv2 | task1079_pib_translation_english_gujarati | fs_opt | [
-0.8954119682312012,
0.5940530896186829,
-0.16685450077056885,
-0.1656895875930786,
-0.265348345041275,
-1.5058913230895996,
0.36297696828842163,
0.1953948438167572,
-0.13953740894794464,
-0.08212301880121231,
-0.7430547475814819,
0.15015637874603271,
-0.7092286348342896,
-0.03013478592038... |
Instructions: Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sen... | Mail-in voters in the United States can send their ballots with first-class postage to ensure that it is delivered on time before the November 3 2020 election. | 3 | NIv2 | task1368_healthfact_sentence_generation | zs_opt | [
0.14439991116523743,
0.2015107125043869,
-0.0337841659784317,
-0.3504553437232971,
0.757483720779419,
-0.5097202658653259,
0.4303455054759979,
0.48342570662498474,
-0.9432048797607422,
0.08260737359523773,
0.113475501537323,
0.776282548904419,
0.4356362223625183,
-0.40698137879371643,
-0... |
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Input: Consider Input: It works and is half the price of the exact same product at Costco. What more could you ask? I have ordered several of these just to have extras for backup.
Output: Positive Review
Input: Consider Input: ... | Output: Negative Review
| 2 | NIv2 | task1343_amazon_us_reviews_rating | fs_opt | [
-0.08140268921852112,
-0.0032407541293650866,
-1.055284023284912,
-0.010692344047129154,
0.5126596093177795,
-0.5288896560668945,
0.21160888671875,
0.5536661148071289,
1.0723837614059448,
0.49710026383399963,
0.49196112155914307,
0.40510380268096924,
-0.00251663476228714,
-0.61995577812194... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
הלכתי ופגשתי את אחיו ואביו ואמרתי, "" אנחנו נמסור לכם את הכסף הזה. | So I went and met with his brother and father and said, "" We're going to give you this money. | 0 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.1679854691028595,
0.5588124990463257,
0.07403895258903503,
0.04382310062646866,
-0.8272815942764282,
0.06449808925390244,
0.5381786823272705,
0.18888208270072937,
1.2175151109695435,
-0.46228164434432983,
0.029638906940817833,
0.5241689682006836,
-0.9756405353546143,
0.18495947122573853... |
Teacher: In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Teacher: Now, understand the problem? If you are still confuse... | No | 2 | NIv2 | task579_socialiqa_classification | fs_opt | [
0.13925641775131226,
0.22488893568515778,
0.4089322090148926,
0.09524412453174591,
0.0201761145144701,
-0.5349613428115845,
0.35771095752716064,
0.6181935667991638,
0.2718239426612854,
0.4749096632003784,
0.14794041216373444,
-0.07130341231822968,
0.019882358610630035,
-0.6901407837867737,... |
Teacher: In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the fi... | [-11, 14, 0, 3, 2, 7, -16] | 2 | NIv2 | task096_conala_list_index_subtraction | fs_opt | [
0.2780854403972626,
0.02941613271832466,
-0.8376781940460205,
-0.35703346133232117,
0.0913248360157013,
-0.5395985245704651,
1.0699667930603027,
0.9080904722213745,
-0.4351254105567932,
0.02854328043758869,
-0.3829243779182434,
-0.5027125477790833,
-0.39090368151664734,
-0.5539718270301819... |
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 "woman" and "m... | What will they ask Lucy to do? (A) To turn on the radio. (B) To turn off the radio. (C) To turn down the radio.
| 0 | NIv2 | task246_dream_question_generation | fs_opt | [
0.1875450611114502,
0.5200066566467285,
-0.3773077726364136,
-0.22001200914382935,
0.08608123660087585,
-0.49045541882514954,
0.9962332248687744,
0.4688904285430908,
0.37704360485076904,
-0.12091472744941711,
-0.5922256708145142,
0.5169315338134766,
-0.10129888355731964,
-0.393340319395065... |
Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are... | yes | 8 | NIv2 | task211_logic2text_classification | zs_opt | [
-0.11712527275085449,
-0.23207491636276245,
-0.25231486558914185,
0.31081992387771606,
0.4620010256767273,
-0.3769221007823944,
0.0800454318523407,
0.44946223497390747,
0.23517854511737823,
-0.14964480698108673,
-0.28604990243911743,
0.23358510434627533,
0.14416106045246124,
0.366452217102... |
Given a sentence in the English language, translate it into the Nepali language.
Let me give you an example: Text: If the research problem is not clear then review of literature can help focus on the problem.
The answer to this example can be: अथवा शोध समस्याबारे स्पष्ट हुन सकिरहेको छैन भने साहित्यको अवलोकन र पुनराव... | नेवारलाई शारीरीक बनौटको आधारमा मात्र चिनाउन सम्भव छैन ।
| 8 | NIv2 | task1514_flores_translation_entone | fs_opt | [
-0.6549451351165771,
0.4163782596588135,
0.1289229393005371,
-0.18559537827968597,
-0.12949569523334503,
-0.4618936777114868,
1.4694938659667969,
-0.11483268439769745,
0.32363003492355347,
-0.17495885491371155,
-0.001248726388439536,
-0.10241194069385529,
-1.0896905660629272,
0.59414023160... |
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating... | Output: Does the prognosis of pulmonary metastasectomy depend on the location of the primary colorectal cancer?
| 2 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.10885180532932281,
0.047941964119672775,
-0.26350459456443787,
0.26385313272476196,
0.5983450412750244,
-0.2282601296901703,
0.5267651081085205,
0.8567944169044495,
0.5226303339004517,
0.6280704140663147,
-0.6744060516357422,
0.5069849491119385,
-0.9001590013504028,
0.5827798247337341,
... |
Detailed Instructions: In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed wit... | B | 4 | NIv2 | task329_gap_classification | fs_opt | [
0.08933986723423004,
0.07110650092363358,
0.11510886251926422,
-0.07372582703828812,
0.14555132389068604,
0.4556758999824524,
0.9018579125404358,
1.1713731288909912,
-0.08055846393108368,
0.3255017399787903,
0.00838406477123499,
0.011853227391839027,
-0.6708865165710449,
-0.097858712077140... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
この帰還は、国際宇宙ステーションでダン・タニと入れ替わったクレイ・アンダーソンをも連れ帰る。
Output: | การกลับมานั้นจะมี เคลย์ แอนเดอร์สัน เดินทางกลับมาด้วย ซึ่งเขาได้ไปประจำอยู่ที่สถานีอวกาศนานาชาติแทน แดน ทานี่ | 1 | NIv2 | task1127_alt_ja_th_translation | zs_opt | [
-0.31806403398513794,
0.09101447463035583,
-0.31847113370895386,
-0.6609057188034058,
-0.1442411243915558,
-0.5308108329772949,
0.6324329376220703,
0.3732127249240875,
-0.16001152992248535,
0.5538167953491211,
-0.15101832151412964,
0.42126762866973877,
-0.40447360277175903,
0.4013147354125... |
Given the task definition and input, reply with output. This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which... | What civilizations didn't use the divine and supernatural in their architecture? | 5 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
-0.40898770093917847,
0.9826031923294067,
0.14881563186645508,
0.09199469536542892,
-0.4106671214103699,
-0.36107543110847473,
1.0761463642120361,
0.5723340511322021,
-0.020012494176626205,
-0.07526735216379166,
-1.205579400062561,
0.2469434291124344,
-0.7117527723312378,
-0.16459202766418... |
Detailed Instructions: In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
Problem:How many hearts will he break ?
Solution: | Plural | 8 | NIv2 | task431_senteval_object_count | zs_opt | [
-0.728703498840332,
0.47198355197906494,
0.5814981460571289,
0.20160852372646332,
-0.15564489364624023,
-0.27158981561660767,
0.9775463938713074,
-0.613980770111084,
-0.43446874618530273,
-0.6511616110801697,
-0.19962434470653534,
0.013666571117937565,
-0.6639851331710815,
-0.1241213977336... |
Q: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to det... | Yes | 7 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.40328606963157654,
0.44193902611732483,
0.4146518111228943,
-0.04007664695382118,
-0.6822400689125061,
-0.9833470582962036,
1.3948428630828857,
0.2513432502746582,
-0.6813764572143555,
-0.34418463706970215,
-0.4797797203063965,
0.1733986735343933,
-0.9862716794013977,
0.3365112841129303,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
What did the library do besides protecting information during the war, Context: The overcrowded conditions of the librar... | The library remained open | 1 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.3505534827709198,
0.44394269585609436,
-0.3238828778266907,
0.6104279160499573,
-0.28829723596572876,
0.02337963692843914,
-0.09272032231092453,
0.2521268427371979,
1.0428466796875,
-0.054128266870975494,
-0.4063217043876648,
-0.16383199393749237,
-1.2605626583099365,
0.08286444842815399... |
Detailed Instructions: In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Problem:Close the Revolving Door Act of 2015 This bill amends the federal criminal ... | Close the Revolving Door Act of 2015 | 8 | NIv2 | task1659_title_generation | zs_opt | [
-0.4825199246406555,
0.1369321346282959,
-0.5015206336975098,
0.8123670816421509,
0.43212783336639404,
-0.4716760814189911,
0.4315824508666992,
0.3429983854293823,
-0.22598306834697723,
0.5515496730804443,
0.6366931796073914,
0.37526780366897583,
-0.6714420318603516,
-0.2151450514793396,
... |
Instructions: Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur... | False | 3 | NIv2 | task1507_boolean_temporal_reasoning | zs_opt | [
-0.4274974465370178,
0.17460079491138458,
-0.7511180639266968,
0.8003109693527222,
-0.38575536012649536,
-0.6143136024475098,
-0.040612611919641495,
0.8473363518714905,
-0.7855797410011292,
-0.03340279310941696,
-0.6459076404571533,
-0.6091262102127075,
0.4283250570297241,
-0.5011680126190... |
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Let me give you an example: Timothy likes to play sports. He spends his time after school playing basketball a... | No | 8 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.4264332056045532,
0.2505280077457428,
-0.45515790581703186,
-0.13246428966522217,
0.4475821852684021,
-0.594734787940979,
0.9372010231018066,
0.8086920976638794,
0.34597620368003845,
-0.0540175661444664,
-0.13832184672355652,
0.4989369213581085,
-0.4966699481010437,
-0.008136936463415623... |
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting ... | 9831935878949498109535391773 | 3 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
-0.04634205624461174,
0.17834337055683136,
-0.32565128803253174,
-0.3859052062034607,
-0.08506064116954803,
-0.11782146245241165,
0.3195909261703491,
0.0059607806615531445,
-0.5047316551208496,
-0.016349153593182564,
-1.2775051593780518,
0.08713468909263611,
0.1504255086183548,
-0.34877061... |
Given the task definition and input, reply with output. In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is th... | 4 | 5 | NIv2 | task1445_closest_integers | zs_opt | [
-0.3922659158706665,
0.29816094040870667,
0.21400703489780426,
0.034408606588840485,
-0.08002153784036636,
0.021546505391597748,
0.24308955669403076,
0.10587598383426666,
0.3117944896221161,
0.022764652967453003,
-0.523231029510498,
-0.6090420484542847,
-0.3335263729095459,
-0.136086344718... |
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the sentence. The ... | Output: Wrong
| 2 | NIv2 | task133_winowhy_reason_plausibility_detection | fs_opt | [
-0.08630464971065521,
0.1266782283782959,
-0.18231144547462463,
0.25860583782196045,
0.2826882600784302,
-1.06343412399292,
0.25736624002456665,
0.36300429701805115,
0.37883853912353516,
-0.017781689763069153,
0.2696673274040222,
0.23757857084274292,
-0.2758901119232178,
-0.331060796976089... |
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Buy American Carbon Incentives Program Act of 2009 - Directs the Secretary of Agriculture to: (1) establi... | To require the Secretary of Agriculture to establish a carbon incentives program to achieve supplemental greenhouse gas emissions reductions on private agricultural and forestland of the United States, and for other purposes. | 0 | NIv2 | task1659_title_generation | zs_opt | [
-1.3078155517578125,
0.6433489322662354,
-0.21646566689014435,
-0.4899335503578186,
-0.28204578161239624,
-1.0271698236465454,
0.13274019956588745,
0.7761436700820923,
-0.7678760290145874,
0.5946055054664612,
0.15215367078781128,
0.26719871163368225,
-1.1303703784942627,
0.263952374458313,... |
Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: As you can understand, it would be easy to do so.
Outp... | Det skulle som ni förstår vara enkelt att göra det. | 3 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
-0.2838902175426483,
1.0328948497772217,
0.6206100583076477,
-0.7647143602371216,
0.5932167768478394,
0.12580254673957825,
1.0126782655715942,
0.8397682905197144,
0.325371116399765,
0.26364994049072266,
-0.2694005072116852,
0.3120078444480896,
-0.43170544505119324,
-0.4221305847167969,
-... |
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 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.
P... | have the rockies ever made it to the playoffs | 0 | NIv2 | task1660_super_glue_question_generation | fs_opt | [
0.4414464235305786,
0.1211286261677742,
-0.9938346147537231,
0.7485756278038025,
0.4114750921726227,
-0.7345190048217773,
0.8865048289299011,
0.7922737002372742,
-0.07839928567409515,
-0.11260049045085907,
-0.3726428151130676,
0.8657528758049011,
-0.6508374810218811,
-0.32655102014541626,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Input: Consider Input: O síndrome de Capgras é uma doença em que se tem uma ilusão específica.
Output: So Capgras syndrome is a disorder where you get a specific delusion.
Input: Consider Input: E não são só as no... | Output: This is not supposed to occur.
| 2 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
-0.10087525099515915,
0.686621904373169,
-0.3789522647857666,
-0.5325751304626465,
-0.7024967074394226,
-0.9608351588249207,
-0.3339673578739166,
1.243424654006958,
0.46933358907699585,
-0.4037708640098572,
-0.8785340785980225,
0.6515204906463623,
-0.2396450936794281,
0.3012985587120056,
... |
Detailed Instructions: In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
See one example belo... | no | 4 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.5215656757354736,
0.5371561050415039,
0.26367413997650146,
-0.3713579773902893,
-0.09318040311336517,
-0.34903720021247864,
0.2637357711791992,
0.7998324632644653,
-0.25237059593200684,
-0.16564463078975677,
-0.3585768938064575,
0.3802762031555176,
-0.023187873885035515,
-0.535130620002... |
Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Example Input: Context : Lilika (Serbian: Лилика) is a 1970 Yugoslav drama film directed by Branko Pleša.
Answer : Branko Pleša
Example Output:... | Which production company is involved with Star of Midnight?
| 3 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
0.03310046344995499,
0.5848937034606934,
-0.3935057818889618,
-0.08072146773338318,
-0.12172669917345047,
-0.29505473375320435,
0.7035189270973206,
0.18528294563293457,
0.43027880787849426,
-0.791454017162323,
-0.16638365387916565,
0.645194411277771,
-0.9967930316925049,
0.0196535363793373... |
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 list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a l... | [16.0] | 0 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.09597131609916687,
0.7743485569953918,
-0.5119931101799011,
-0.13721463084220886,
0.2677590847015381,
0.4999467432498932,
0.9141917824745178,
0.9333293437957764,
0.29781100153923035,
-0.2896539568901062,
-0.48436176776885986,
-0.25192791223526,
0.07379943132400513,
0.6242572069168091,
... |
Definition: You are given an original reference as well as a system reference. Your task is to judge the informativeness of the system reference. If the utterance provides all the useful information from the meaning representation output 1, else output 0.
Input: System Reference: x is a japanese restaurant in the city ... | 1 | 2 | NIv2 | task1284_hrngo_informativeness_classification | zs_opt | [
-0.3419950008392334,
0.5628405809402466,
-1.0055264234542847,
0.17349904775619507,
-0.5959222316741943,
-0.3382507562637329,
0.8939182162284851,
0.6538281440734863,
0.15213482081890106,
-0.5248783826828003,
-0.1614661067724228,
-0.2762700915336609,
-0.5639113783836365,
0.3210233151912689,
... |
You will be given a definition of a task first, then some input of the task.
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.
Given Relationship: 'be god of', Sentence: 'Osiris was the Egyptian god of the Nile ... | god | 1 | NIv2 | task678_ollie_actual_relationship_answer_generation | zs_opt | [
-0.5761780142784119,
1.183558464050293,
-0.22855660319328308,
-0.2524663805961609,
-1.010605812072754,
-1.2413662672042847,
0.9622390866279602,
0.1997998058795929,
0.7742997407913208,
-0.12624101340770721,
-0.657049298286438,
-0.3855014741420746,
-0.4806545674800873,
0.06727074086666107,
... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Q: Reviews: Love the pops, but as usual the box from Amazon ... | False | 4 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.30924272537231445,
0.25867873430252075,
-0.04117321968078613,
-0.11181381344795227,
-0.027676787227392197,
-0.29924148321151733,
0.5624642372131348,
0.7456210851669312,
-0.6819427013397217,
0.27101659774780273,
-0.46194520592689514,
-0.2883630394935608,
-0.8231207132339478,
0.0857200026... |
instruction:
Translation from English to Telugu.
question:
AND HE'S GONNA RELIEVE YOU OF YOUR RUCKSACK.
answer:
మరియు తను ఉపశమనానికి గొన్న మీరు మీ సంచి OF .
question:
I can see the turnoff.
answer:
నేను సిగ్నల్ పోస్ట్ తర్వాత చూడవచ్చు.
question:
He was my partner.
answer:
| అతను నా భాగస్వామి.
| 9 | NIv2 | task1330_open_subtitles_en_te_translation | fs_opt | [
0.3111843168735504,
0.8822953701019287,
0.05304256081581116,
-0.08046168088912964,
-0.10692371428012848,
-0.9010708332061768,
0.1634155958890915,
0.8452059030532837,
0.736852765083313,
0.25350484251976013,
-0.5409395694732666,
0.3679482638835907,
-0.9847712516784668,
0.46542736887931824,
... |
A text is given in Oriya. Translate it from the Oriya language to the Tamil language. The translation must not omit or add information to the original sentence.
Ex Input:
ସରକାର 6ଟି ଉତ୍କୃଷ୍ଟ ସଂସ୍ଥାନର ଚୟନ କରିଛନ୍ତି ଯେଉଁଥିରେ 3ଟି ସରକାରୀ ଏବଂ 3ଟି ବେସରକାରୀ ସଂସ୍ଥାନ ସାମିଲ । କେନ୍ଦ୍ର ମାନବ ସମ୍ବଳ ବିକାଶ ମନ୍ତ୍ରଣାଳୟର ଉଚ୍ଚସ୍ତରୀୟ କମିଟି ... | மின்சாரத்தை ஏற்றுமதி செய்யும் அளவிற்கு உருவெடுத்துள்ள இந்தியாதான், நாடு சுதந்திரம் அடைந்ததிலிருந்து இதுவரை மின்சார வசதி இல்லாத கோடிக்கணக்கான வீடுகளுக்கு மின் இணைப்பை வழங்கியுள்ளது.
| 1 | NIv2 | task1073_pib_translation_oriya_tamil | fs_opt | [
-0.0381721593439579,
0.11464276909828186,
-0.1731119155883789,
-0.31140807271003723,
0.6747708320617676,
-0.8745747804641724,
0.6284083127975464,
1.2251474857330322,
-0.6009773015975952,
-0.09747111797332764,
-0.6026420593261719,
0.7341396808624268,
-0.5838781595230103,
-0.1239856183528900... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Sentence: 'pasta with broccoli on a white plate with blue designs'. Count the number of vowels in the given sentence. | 17 | 0 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.28929099440574646,
0.8288717865943909,
-0.5902585983276367,
-0.295607328414917,
-0.2709476947784424,
0.2992401719093323,
-0.04262951761484146,
0.6903988718986511,
0.11970992386341095,
-0.35081103444099426,
-0.15845493972301483,
-0.011215141043066978,
0.4453919529914856,
-0.60769617557525... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
למרבה הצער אנו חלקית זקוקים למערכת זו. | But unfortunately, we need this system in part. | 0 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.54997318983078,
0.35022488236427307,
0.4265841245651245,
0.07413670420646667,
-0.1636238396167755,
-0.4408946633338928,
0.3753037452697754,
-0.45090216398239136,
0.5071128606796265,
-0.4468868672847748,
-0.9917687177658081,
-0.2939436435699463,
-0.47371232509613037,
0.5796769857406616,
... |
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: a one - foot stick is marked in 1 / 4 and 1 / 5 portion . how many total markings will there be , including the end points ?
Options: a ) 18 , b ) 16 , c ) 13 , d )... | d | 0 | NIv2 | task1420_mathqa_general | zs_opt | [
0.5087214112281799,
0.014551003463566303,
-0.7433293461799622,
-0.17097914218902588,
0.34118419885635376,
-0.3727216124534607,
0.41933175921440125,
0.895535945892334,
-0.3141706585884094,
0.20009440183639526,
-0.8290308713912964,
0.11799018085002899,
0.1640973538160324,
-0.3082872331142425... |
In this task, you need to count the number of words in a sentence that contain the given letter
Sentence: 'a skier posing for a photo in front of a slope'. How many words contain the letter 'a' in the sentence.
3
Sentence: 'a plate has many different types of food on it'. How many words contain the letter 'r' in the ... | 0
| 0 | NIv2 | task161_count_words_containing_letter | fs_opt | [
-0.4989604353904724,
0.3013298809528351,
-0.12612131237983704,
-0.7530811429023743,
-0.2853460907936096,
0.465419739484787,
0.389018714427948,
0.5152301788330078,
0.47371119260787964,
-0.8788861036300659,
0.17532141506671906,
0.09063446521759033,
-0.23866258561611176,
0.3753747344017029,
... |
Definition: Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
Input: news:The program included operational improvements and reductions in personnel , mainly in the Netherlands .
... | true | 2 | NIv2 | task844_financial_phrasebank_classification | zs_opt | [
-0.7426885962486267,
-0.1527746468782425,
-0.40325671434402466,
0.5520139932632446,
-0.19043463468551636,
-0.2305169552564621,
0.5857390761375427,
0.2992215156555176,
0.6520881652832031,
0.022587547078728676,
-0.7593297958374023,
0.22433680295944214,
-0.331187903881073,
0.11287212371826172... |
In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
Input: Consider Input: These are too small. I wanted somewhat tight for assurances, but these we... | Output: 3
| 2 | NIv2 | task1310_amazonreview_rating_classification | fs_opt | [
0.3486317992210388,
0.2005123645067215,
-0.7912137508392334,
0.5659096240997314,
0.4724634289741516,
-0.715542197227478,
-0.06862339377403259,
0.966910719871521,
-0.5901035070419312,
0.798878014087677,
-0.45977872610092163,
0.25001126527786255,
-0.5191553831100464,
-0.34390270709991455,
... |
instruction:
In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
question:
Question: Virgina Henderson describes the relationship of the nurse with the patient in the following structure:
Options:... | 1
| 9 | NIv2 | task1431_head_qa_answer_generation | fs_opt | [
0.4576018452644348,
0.5970908403396606,
-0.2596636414527893,
-0.3690478205680847,
0.1869724541902542,
-0.8896837830543518,
0.5297514200210571,
1.0987548828125,
0.2840234637260437,
0.10932950675487518,
-0.17838837206363678,
-0.1913703978061676,
-0.24258533120155334,
-0.30447882413864136,
... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Let me give you an example: ... | assistant | 8 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.17679241299629211,
0.6511991024017334,
-0.4371468424797058,
-0.668178915977478,
-0.3107156455516815,
-0.13890358805656433,
1.4485348463058472,
-0.7935687303543091,
1.1178970336914062,
-0.37112027406692505,
-0.028333544731140137,
0.02307560294866562,
-0.19715455174446106,
0.4446471929550... |
In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the choice... | 2
| 6 | NIv2 | task200_mnli_entailment_classification | fs_opt | [
-0.03536120057106018,
0.09537146985530853,
-0.458805114030838,
0.38218584656715393,
0.5552175045013428,
-0.5920373201370239,
-0.9245918989181519,
1.1087121963500977,
-0.21465854346752167,
0.3186078667640686,
-0.3731539249420166,
0.33669042587280273,
0.04346834868192673,
-0.0827649235725402... |
This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Q: Daher glauben viele, dass uns in den Industrielä... | En consecuencia, muchos creen que pende sobre nosotros una "nueva normalidad" de crecimiento más lento de los países avanzados. | 4 | NIv2 | task1373_newscomm_translation | zs_opt | [
-1.3522634506225586,
0.5733741521835327,
-0.21512936055660248,
-0.07666489481925964,
-0.39346393942832947,
0.09269870817661285,
0.6108107566833496,
1.4430866241455078,
0.2720305025577545,
-0.41590234637260437,
-0.41511163115501404,
0.09178449213504791,
-0.3095088005065918,
0.23705981671810... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
به آن ها آسفالتین گفته می شوند ؛ آن ها یکی از مواد مورد نیاز برای درست کردن آسفالت هستند.
Chámanlles asfaltenos, e son un ingrediente do asfalto.
ولی او دندانهای بزرگی در یک طرف دهانش دارد.
Pero ten dentes enormes nun lado... | O mellor disto é que non condiciona ás persoas, xa que cando un rostro sorrí o outro torce o fociño.
| 0 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-0.3643229901790619,
1.0833547115325928,
0.06781654804944992,
-0.2558397650718689,
-0.6523466110229492,
0.6265280246734619,
0.5236940979957581,
0.4669550657272339,
-0.11995392292737961,
-0.4738014340400696,
-0.5498234033584595,
0.26810866594314575,
-0.10189930349588394,
0.4400978088378906,... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
פירוש הדבר הוא גם כיצד אנשים יכולים לקבל גישה ולעשות דברים שישפיעו על הקהילה שלהם, וזו דוגמה.
| それはまた人々がいかにネットにアクセスし自らのコミュニティに影響を及ぼせるかということでもありますあの映像はまさにその一例ですね | 5 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
-0.7303838133811951,
0.44143858551979065,
0.5252515077590942,
0.29639944434165955,
0.1350030153989792,
0.5793210864067078,
0.5745049118995667,
-0.39522790908813477,
0.8008005619049072,
-0.8482955098152161,
-0.6109144687652588,
0.5475594997406006,
-0.47588589787483215,
0.18116462230682373,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Example: The severe acute respiratory syndrom... | Simulate_PCR for amplicon prediction and annotation from multiplex, degenerate primers and probes | 1 | NIv2 | task1161_coda19_title_generation | fs_opt | [
0.2702556848526001,
0.39964377880096436,
-0.6539201736450195,
0.2731418013572693,
0.7345650792121887,
0.22104758024215698,
0.644136905670166,
1.0527691841125488,
-0.07082177698612213,
0.9048148989677429,
-0.5944357514381409,
1.0876492261886597,
-0.19987201690673828,
0.3731445074081421,
-... |
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 Input:
Event:PersonX has PersonX's first baby. Intent:... | confused and irritated
| 1 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.008181899785995483,
0.0004947107518091798,
0.1824539303779602,
-0.14054273068904877,
-0.820041835308075,
-0.33786821365356445,
1.156949520111084,
0.44978922605514526,
0.3496285676956177,
-0.49136313796043396,
0.17624172568321228,
-0.029299218207597733,
-0.45563817024230957,
0.45829468965... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_RIGHT I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK
| 0 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.49619531631469727,
0.6442948579788208,
-0.438372939825058,
0.17692919075489044,
-0.0618695467710495,
-0.22858019173145294,
0.06876732409000397,
0.26122862100601196,
-0.11027085781097412,
-0.07315246760845184,
-0.7861096858978271,
-0.2796868681907654,
-0.6692022085189819,
-0.0866313651204... |
Detailed Instructions: Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but ... | Good | 8 | NIv2 | task673_google_wellformed_query_classification | zs_opt | [
-0.2764686346054077,
0.5219504237174988,
0.09102177619934082,
-0.4596503674983978,
-0.5610616207122803,
-0.3237425684928894,
0.5287713408470154,
0.18998856842517853,
0.31888729333877563,
-0.0459766648709774,
0.14136096835136414,
-0.16468402743339539,
-0.6639041900634766,
-0.253662824630737... |
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Input: وهذا مثال بسيط لذلك.
Output: | Questo è davvero un buon esempio di ciò. | 3 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
-0.6142418384552002,
1.1292603015899658,
-0.3745596408843994,
-0.3445340394973755,
-0.4188605546951294,
0.44414693117141724,
0.5529098510742188,
0.6880629062652588,
0.3422561287879944,
-0.49120765924453735,
-1.1257004737854004,
0.05904766172170639,
0.14733324944972992,
0.1704423725605011,
... |
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 young lady is holding on to a street sign and smiling'. Remove all words of length '3' in the given sentence.
Ex ... | the elephants are the tall grass
| 1 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
0.05123082548379898,
0.14772847294807434,
-0.2545354962348938,
-0.7462158203125,
-0.06592077016830444,
-0.6431095600128174,
-0.4626544713973999,
0.887603759765625,
-0.1907232403755188,
0.03137824311852455,
-0.9265766143798828,
-0.17533908784389496,
-0.31509116291999817,
-0.2947262525558471... |
Given the task definition and input, reply with output. Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
A gymnast performs on a pommel horse on front two judges while a man watch her, then the gymnast runs and make a flip to finis... | perform jump springs routine after the handstand and walks by during the first performance. | 5 | NIv2 | task453_swag_answer_generation | zs_opt | [
-0.3017634153366089,
1.2905038595199585,
-0.11892068386077881,
0.25983405113220215,
-0.227424755692482,
0.4104735255241394,
-0.6024080514907837,
0.42267417907714844,
0.5967625975608826,
-0.5828276872634888,
-0.8706424236297607,
0.7218323945999146,
-0.2760847210884094,
0.030161406844854355,... |
Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are... | yes | 8 | NIv2 | task211_logic2text_classification | zs_opt | [
0.06983128190040588,
-0.30584079027175903,
-0.41608425974845886,
0.37240099906921387,
0.46194517612457275,
-0.5683084726333618,
0.3431975841522217,
0.4507838785648346,
0.05206603184342384,
-0.05473112314939499,
-0.06546878814697266,
0.2439112514257431,
0.23498304188251495,
0.41539824008941... |
Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Q: If you don't like it here go back to Africa or wherever you came, or were taken from. My ancestors in Eastern Europe were also slaves but instead of whining about it every day as an excuse for ... | Yes
****
| 4 | NIv2 | task1725_civil_comments_severtoxicity_classification | fs_opt | [
-0.10959680378437042,
0.3454599976539612,
0.23473000526428223,
-0.03505012392997742,
-0.32097098231315613,
-0.7146494388580322,
0.18524706363677979,
0.9989954233169556,
0.17341189086437225,
0.5535415410995483,
-0.615689754486084,
0.6389772891998291,
-0.9399231672286987,
-0.2459342330694198... |
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.
One example is below.
Q: Text: title speaks for itself really...
i just wasted $1500 of my... | TIFU by not looking at my pay stubs | 9 | NIv2 | task510_reddit_tifu_title_summarization | fs_opt | [
-0.9056059122085571,
0.3802018463611603,
0.3320081830024719,
-0.4764831066131592,
0.23410989344120026,
0.2573005259037018,
0.1989835798740387,
1.3325870037078857,
0.24479514360427856,
0.44430282711982727,
0.17664417624473572,
-0.47919508814811707,
-0.4993321895599365,
-0.19894251227378845,... |
Detailed Instructions: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Q: Context: Q7:... | what group is giving tips on tech startup advertising? | 9 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-0.981139063835144,
0.636998176574707,
0.5320345163345337,
-0.043230846524238586,
0.0979759693145752,
-0.24114161729812622,
-0.2293713390827179,
0.5040169954299927,
-0.030756525695323944,
0.23547495901584625,
0.04271853342652321,
-0.011635184288024902,
-1.293157935142517,
0.308274835348129... |
TASK DEFINITION: Given the background description of some cooking related query, summarize the question into a title
PROBLEM: Recently watch a cooking show, and in one of the recipes (before cooking the chicken) the instruction was to put the spice below the skin of the chicken.How to do it? Does it have some special m... | Preserving small amounts of milk
| 8 | NIv2 | task1637_doqa2.1_cooking_text_summarization | fs_opt | [
0.14490513503551483,
0.23974032700061798,
-0.325379878282547,
0.7095425128936768,
0.5915118455886841,
-0.07369591295719147,
0.5148202776908875,
1.2766425609588623,
-0.3721121847629547,
0.3388543128967285,
0.02078608050942421,
0.04347933083772659,
-0.6894338130950928,
0.4333660304546356,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
[Q]: ريبكا: كيف يمكن لحجة منطقية أن يترتب عليها حجج منطقية غير فعالة ؟
[A]: RNG: Como é que, segundo a lógica, um argumento sensato pode implicar a ineficácia de argumentos sensatos?
[Q]: أنا أضيف 2 + 2 لأحصل على 4
[A]: ... | Ouço o mais pequeno movimento que cada pessoa faz.
| 5 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
-0.6377514600753784,
0.5427830219268799,
0.596788227558136,
-0.02292811870574951,
-0.7481769323348999,
0.022779298946261406,
0.6702094674110413,
0.30397576093673706,
0.09624284505844116,
-0.7421805262565613,
-0.6248872876167297,
-0.0703832358121872,
-0.9436659216880798,
0.02886379137635231... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Input: زبان واقعا صدای ژن های ما می باشد.
Output: | Język to głos naszych genów. Język to głos naszych genów. | 3 | NIv2 | task1272_ted_translation_fa_pl | zs_opt | [
-0.821597158908844,
1.0977600812911987,
-0.3223539888858795,
0.0570208840072155,
-0.8675023317337036,
-0.1628776490688324,
0.7917984127998352,
-0.42738962173461914,
0.4416840672492981,
-0.6355391144752502,
-0.9665725827217102,
0.8439396619796753,
-0.55592942237854,
0.29047101736068726,
1... |
Q: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'a black and white photo of two women and a bbq', Sentence2: 'a train engine is traveling down some tracks'. Is the frequency of the word 'a' in two sentences equal?
A: | No | 7 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt | [
-0.4470527172088623,
0.05275781452655792,
-0.5335274934768677,
0.02221604622900486,
-0.004109164699912071,
-0.2877575159072876,
0.9854269623756409,
0.7370662093162537,
0.03809237480163574,
0.0957268625497818,
-0.30897256731987,
-0.26287901401519775,
0.6446460485458374,
0.5730153322219849,
... |
Instructions: In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Input: Sentence1: A little girl fell asleep in her classroom due to boredom. Sentence2: The teacher saw her and chastised her for it. Sentence3: She was ... | Girl, Teacher | 3 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
-0.1835431307554245,
0.4593426585197449,
-0.13198116421699524,
-0.8314114212989807,
0.0039357990026474,
-0.5274239778518677,
0.3658665418624878,
0.6136474609375,
0.19336509704589844,
-0.2407887876033783,
-0.47286075353622437,
-0.4679708480834961,
-0.5660467147827148,
-0.011893220245838165,... |
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
One example is below.
Q: Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) wa... | Karron Graves is best known for playing Mary Warren in what 1996 histroica drama written by Arthur Miller? | 9 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.6891534328460693,
0.34985288977622986,
-0.8356341123580933,
1.054969072341919,
0.5251984000205994,
-0.13426482677459717,
0.7167499661445618,
0.5180169343948364,
-0.061062756925821304,
0.3338373303413391,
-0.022834811359643936,
0.5336179733276367,
-0.9618646502494812,
-0.10721589624881744... |
Part 1. Definition
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Part 2. Example
Who did the Han Chinese want to help the Khitan no I mean the Mongols fight?
Answer: Who did the Han Chinese want to help the Mongols fight?
Explanation: The in... | For what nation did Ribault initially claim what is now Jacksonville? | 7 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
-0.6640380620956421,
1.0390783548355103,
-0.13539434969425201,
-0.5919766426086426,
-0.16258130967617035,
-0.5119452476501465,
1.132081151008606,
0.6119370460510254,
0.3325316309928894,
0.13632754981517792,
-0.2466438114643097,
-0.8195728063583374,
-0.8812118768692017,
-0.13884365558624268... |
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Example: [2, 5, 9, 6, 11]
Example solution: [2, 5, 11]
Example explanation: ... | Solution: [-32] | 5 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
0.11943016946315765,
-0.34779098629951477,
-0.2889276146888733,
-0.754158616065979,
0.36401718854904175,
-0.4810291528701782,
1.0894291400909424,
-0.038326602429151535,
-0.26886212825775146,
0.06389828026294708,
-0.8735958337783813,
0.01723339781165123,
-0.30909591913223267,
-0.61521357297... |
Q: In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
I've already gone through the 2 screen protectors in a week.. One cracked from being dropped o... | 1 | 7 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
0.04930254817008972,
0.28087255358695984,
-0.15730012953281403,
-0.17078004777431488,
0.137769877910614,
-0.7378400564193726,
-0.1030755341053009,
0.7407862544059753,
-0.11254660785198212,
0.31352823972702026,
-0.35747218132019043,
0.18880970776081085,
-0.6573301553726196,
-0.0844106674194... |
This task is to translate the Telugu Language Input to English Language Output
Ex Input:
అవసరాలు (మీరు అవసరం)
Ex Output:
Requirements (What you need)
Ex Input:
ఆ ఎప్పుడూ జరగలేదు.
Ex Output:
That never happened.
Ex Input:
పైకి Porn Videos
Ex Output:
| Random video
| 1 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt | [
-0.13664767146110535,
0.4028279483318329,
-0.1504254937171936,
0.7309842109680176,
-0.05682932585477829,
0.256308376789093,
-0.1612120270729065,
0.63564532995224,
-0.5832211375236511,
-0.2660174071788788,
0.22352048754692078,
-0.13734091818332672,
-0.37630894780158997,
-0.5519883036613464,... |
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Q: Category: emotional status
Words: down, emotional upsets, disgusted, shameful, sliding
A: sliding
****
Q: Category: type of sa... | let go
****
| 4 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
0.380380779504776,
0.15327700972557068,
0.13684208691120148,
-0.29190677404403687,
0.17424511909484863,
0.34166598320007324,
0.7723634243011475,
0.04206565394997597,
0.4105113744735718,
-0.23369042575359344,
0.09943185746669769,
-0.05868074297904968,
-1.2007534503936768,
0.2112299501895904... |
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Panjabi language. The translation must not omit or add information to the original sentence.
Q: ਭਾਰਤ ਅਤੇ ਯੂਰਪੀ ਯੂਨੀਅਨ ਦੀ Strategic Partnership ਨੂੰ ਮਜ਼ਬੂਤ ਕਰਨ ਵਿੱਚ ਤੁਹਾਡੀ ਦੋਹਾਂ ਦੀ ਅਗਵਾਈ ਅਤੇ ਯੋਗਦਾਨ ਲਈ ਮੈਂ ਤੁਹਾਡਾ ਅਭਿਨੰਦਨ ਕਰਦਾ ਹਾਂ।... | भारत और यूरोपियन यूनियन की Strategic Partnership को मजबूत करने में आप दोनों के नेतृत्व और योगदान के लिए मैं आपका अभिनंदन करता हूं। | 9 | NIv2 | task1012_pib_translation_punjabi_hindi | zs_opt | [
-0.4506290853023529,
0.6955482959747314,
-0.24536459147930145,
0.35462939739227295,
-0.29446980357170105,
-0.9727651476860046,
0.9445086121559143,
-0.08416073024272919,
0.14920049905776978,
-0.04510430991649628,
-0.07466880977153778,
-0.21212662756443024,
-0.36855587363243103,
0.2441811710... |
Detailed Instructions: 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 sent... | Taylor's dad warns Taylor not to do it >Causes/Enables> Taylor doesn't care | 9 | NIv2 | task748_glucose_reverse_cause_event_detection | zs_opt | [
-0.4142957031726837,
0.46506035327911377,
0.12066036462783813,
-0.18656191229820251,
-0.7026762962341309,
-0.5688297748565674,
0.47129470109939575,
1.3994063138961792,
-0.20914366841316223,
-0.1358117312192917,
-0.09796465933322906,
0.28541576862335205,
-0.5992633104324341,
-0.313910484313... |
In this task, you need to replace a letter in the sentence with another given letter.
Example Input: Sentence: 'a woman in a floral swimsuit holds a pink umbrella'. Replace the letter 't' with 'l' in the sentence.
Example Output: a woman in a floral swimsuil holds a pink umbrella
Example Input: Sentence: 'a herd of c... | d professiondl bdsebdll pldyer following through on d pitch
| 3 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.9809125661849976,
0.266149640083313,
-0.7921931147575378,
-0.4758179783821106,
0.47430315613746643,
-1.1912832260131836,
-0.23098045587539673,
0.7680476307868958,
-0.0756433829665184,
-0.25070416927337646,
-0.6185637712478638,
0.1163654774427414,
-0.15775564312934875,
-0.058072991669178... |
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 Malayalam language. The translation must not omit or add information to the original sentence.
3) ധാന്യ ഉല്പ്പാദനം, അവയുടെ വൈവിദ്ധ്യവല്ക്കരണം എന്നീ മേഖലകളിലെ അനുഭവസമ്... | Exchange of experience in the field of crop production and theirdiversification | 1 | NIv2 | task1022_pib_translation_malayalam_english | zs_opt | [
-0.7969046831130981,
0.3856862783432007,
0.2956417202949524,
-0.0393265001475811,
-0.030849028378725052,
-0.45587611198425293,
0.40068677067756653,
0.701087474822998,
-0.3180620074272156,
0.08809644728899002,
-0.3831489384174347,
0.14463062584400177,
-0.7504590749740601,
0.3674252331256866... |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sente... | 8, 9, 12. | 4 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
-0.30131155252456665,
0.22520817816257477,
0.1534745991230011,
-0.1859118640422821,
0.5653743743896484,
-0.3320741653442383,
0.3194819688796997,
0.9490748643875122,
-0.44815802574157715,
-0.1900445520877838,
-0.6599345803260803,
0.1830528974533081,
-0.8654706478118896,
0.25429344177246094,... |
Detailed Instructions: In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she... | How many tons of materials were used to build the memorial that was first thought about being built in the early 1920s? | 4 | NIv2 | task001_quoref_question_generation | fs_opt | [
0.7856301665306091,
0.2795580327510834,
-0.440782368183136,
-0.016527310013771057,
0.6296743154525757,
-0.2726045250892639,
0.7897710800170898,
1.088955044746399,
-0.1969454437494278,
-0.0033226043451577425,
-0.3717828392982483,
0.7716344594955444,
-0.2837415039539337,
0.2829788625240326,
... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist ... | Clinton | 0 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
-0.3812220096588135,
0.8910666704177856,
0.6048482656478882,
-0.04756196588277817,
0.5037614107131958,
-0.07213807851076126,
0.7047055959701538,
1.0779008865356445,
-0.5626116394996643,
0.21537888050079346,
-0.34296107292175293,
0.6291434168815613,
-0.2970930337905884,
0.0674961507320404,
... |
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 Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise g... | No | 0 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
0.20154988765716553,
-0.457319438457489,
-0.1855878084897995,
0.025879912078380585,
0.11710694432258606,
-0.8868188858032227,
0.10109681636095047,
0.3538234531879425,
-0.4946972131729126,
-0.26017051935195923,
0.2635239362716675,
0.5624439716339111,
-0.1979086697101593,
0.4730273485183716,... |
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 "woman" and "m... | Output: Who are they talking about? (A) The teacher (B) The officer (C) The manager
| 2 | NIv2 | task246_dream_question_generation | fs_opt | [
-0.14197766780853271,
0.8755186200141907,
-0.4893023371696472,
-0.6859273314476013,
0.07780082523822784,
0.6077437996864319,
0.22930574417114258,
0.5236291885375977,
0.18152520060539246,
-0.06413862109184265,
-0.29994577169418335,
0.6024454832077026,
0.30715420842170715,
-0.191956937313079... |
Given the task definition, example input & output, solve the new input case.
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 ans... | no | 1 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.25545716285705566,
0.1955225020647049,
-0.18445205688476562,
0.681678056716919,
0.6899436712265015,
-0.9736371040344238,
0.46272656321525574,
1.02083158493042,
-0.3405036926269531,
-0.281796932220459,
-0.6436302661895752,
0.2496529221534729,
0.07217390090227127,
-0.3444000482559204,
0... |
Instructions: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mi... | Preheat oven to 200°. Set a wire rack inside 2 large rimmed baking sheets. ... Bake wings until cooked through and skin is crispy, 25–30 minutes. Line another rimmed baking sheet with foil; top with a wire rack. Add half of wings to ginger-soy glaze and toss to evenly coat. ... Toss remaining half of wings in ... | 3 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
0.17860424518585205,
1.0245190858840942,
-0.6220064163208008,
0.4142707288265228,
-0.3178030550479889,
-0.5832343101501465,
0.3425367772579193,
0.5929796099662781,
-0.12806729972362518,
0.42903751134872437,
-0.13349658250808716,
0.11921460181474686,
0.020243946462869644,
-0.052954509854316... |
instruction:
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 ans... | -11886
| 9 | NIv2 | task087_new_operator_addsub_arithmetic | fs_opt | [
0.2533377707004547,
0.4279778003692627,
-1.0375081300735474,
0.08046115934848785,
-0.5028749704360962,
-0.26978471875190735,
0.26647090911865234,
1.405705451965332,
0.48962995409965515,
0.09016719460487366,
-0.6486093997955322,
-0.5062766075134277,
0.12224080413579941,
0.030203022062778473... |
Instructions: In this task, you are given a question in Persian, and your task is to translate it into English.
Input: آیا صفرهای تابع ریمان زتا ساده هستند؟
Output: | Are the zeroes of the Riemann zeta function simple? | 3 | NIv2 | task653_parsinlu_fa_en_translation | zs_opt | [
-0.547983705997467,
0.6673747301101685,
-0.042650140821933746,
0.39478015899658203,
0.024572808295488358,
0.17622317373752594,
1.4630953073501587,
0.4528939723968506,
0.8650386333465576,
0.5674475431442261,
-1.1118481159210205,
-0.07468728721141815,
-0.027118977159261703,
0.303504645824432... |
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Q: This one has a major problem. It's waaaay too watery, even at the recommended settings. The chocolate flavor ... | Seriously??? | 4 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
0.3936532735824585,
0.8276115655899048,
0.4194002151489258,
-1.1899285316467285,
-0.0533522367477417,
-0.3194417357444763,
0.5989493131637573,
0.4555553197860718,
-0.3127124011516571,
0.411291241645813,
0.38190412521362305,
-0.6692744493484497,
-0.5485348105430603,
-0.0480748750269413,
-... |
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