inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Given a 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.
One example: What are arteries, veins, and cap... | rib cage | 6 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
0.8094945549964905,
0.8331292271614075,
-0.26050275564193726,
0.6713933944702148,
-0.27180036902427673,
-0.27765628695487976,
0.41345375776290894,
0.23569807410240173,
0.04029161483049393,
-0.47224071621894836,
0.5345191359519958,
-0.1230052188038826,
-0.9338381886482239,
-0.25107651948928... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | No | 3 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.533063530921936,
0.3794517517089844,
0.20602089166641235,
-0.34517964720726013,
-0.3616946339607239,
-0.5625075697898865,
1.3738248348236084,
0.16830196976661682,
-0.49445366859436035,
-0.6884900331497192,
-0.4349006414413452,
-0.6287497878074646,
-0.8049378395080566,
0.4052620232105255,... |
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".
Input: Consider Input: Reviews: Was expecting a bit longer ... | Output: False
| 2 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.4697646200656891,
0.14944051206111908,
0.06303742527961731,
-0.5579212307929993,
-0.03517208248376846,
-0.3370703458786011,
0.8936492800712585,
0.5203051567077637,
-0.345939576625824,
0.3164560794830322,
-0.830032467842102,
-0.3704342544078827,
-0.5900918245315552,
-0.028296252712607384... |
Detailed Instructions: 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".
Q: Review: The first 45 minutes of Dragon Fi... | yes | 9 | NIv2 | task285_imdb_answer_generation | zs_opt | [
0.006782160140573978,
-0.23940902948379517,
-0.22584420442581177,
0.11701817065477371,
0.10419224202632904,
-0.7639462351799011,
0.8090916872024536,
1.2294358015060425,
0.02256901003420353,
-0.21391591429710388,
0.07996483147144318,
-0.3787211775779724,
-0.29748380184173584,
-0.13678038120... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
****
| 4 | NIv2 | task1202_atomic_classification_xneed | fs_opt | [
0.5377400517463684,
0.11008213460445404,
-0.09151583909988403,
-0.265601247549057,
-0.5914202332496643,
-0.8944688439369202,
1.2250008583068848,
0.4873540699481964,
-0.47008469700813293,
-0.43504762649536133,
-0.7207449674606323,
-0.31361180543899536,
-1.0565276145935059,
0.575583815574646... |
You will be given a definition of a task first, then some input of the task.
Given a scientific question, generate a correct answer to it.
The difference in electric potential energy which allows for an electric charge to move from one position to another is measured by what si unit?
Output: | volt | 1 | NIv2 | task591_sciq_answer_generation | zs_opt | [
-0.4850614666938782,
0.6966405510902405,
0.21255818009376526,
-0.2496534287929535,
0.07837601751089096,
-0.9140297174453735,
-0.3009873628616333,
0.17194867134094238,
0.8361861705780029,
0.6246582269668579,
0.5874109864234924,
0.4802449643611908,
-0.31130433082580566,
-0.2529982328414917,
... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
| 1 | NIv2 | task1213_atomic_classification_desires | fs_opt | [
-0.32046085596084595,
0.142034649848938,
0.0015672193840146065,
0.059906765818595886,
-0.4964611232280731,
-0.41891586780548096,
0.9581396579742432,
0.57054603099823,
-0.27175796031951904,
-0.42711687088012695,
-0.7508408427238464,
-0.2760675251483917,
-0.5485039949417114,
0.14546284079551... |
Given the task definition and input, reply with output. You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
لكنك عندما تنظر إلى البيانات ، التي ، بالمناسبة ، لا يمتلكها القضاة ، عندما نبدأ بالنظر إلى البيانات ، الأمر الذي نجده مراراً و تكراراً ، هو أن هذا ليس ما يحصل حقاً.
| でも判事達はデータを持っていません実際にデータを検討するとそれに当てはまらないケースがしばしば見つかるのです | 5 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
-0.6968962550163269,
0.10259716212749481,
-0.24060940742492676,
-0.11644203960895538,
-0.59524005651474,
0.17247888445854187,
0.9723553657531738,
0.6638854742050171,
0.49194392561912537,
-0.7019373774528503,
-0.6044074296951294,
0.005232688970863819,
-0.7219557166099548,
0.7883400321006775... |
Given the task definition, example input & output, solve the new input case.
Given a text, write a compressed version of it in a single sentence.
Example: Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, " says APA president Philip G. Zimbardo of Stanford Uni... | Some, like the romance languages, had more in common with each other than with German, English, Swedish, etc. which in turn only slightly resemble Russian and Polish on the one hand, and the two varieties of Gaelic on the other. | 1 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.2740534245967865,
0.5122147798538208,
0.4249410331249237,
-0.22836190462112427,
0.02996588684618473,
-0.794285774230957,
0.5359083414077759,
0.5871286392211914,
-0.05058683082461357,
0.3890780806541443,
0.014866591431200504,
0.045689161866903305,
-0.378203421831131,
-0.5262264013290405,... |
Teacher: In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer w... | for | 2 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
-0.35583847761154175,
0.06624126434326172,
-0.5430461168289185,
-0.2384253740310669,
-0.5567763447761536,
-0.8210349082946777,
0.14699006080627441,
1.3730289936065674,
-0.2393554151058197,
0.015475455671548843,
-0.13172414898872375,
0.1671452820301056,
-1.1295347213745117,
-0.0045613944530... |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in t... | AcfbehijkzjanIhnu, JUGbehijkzPU
| 0 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.6996759176254272,
0.9064096808433533,
0.17323794960975647,
-0.11141788214445114,
0.01993311382830143,
-0.0492512546479702,
0.1360645592212677,
0.4459989666938782,
-0.13786908984184265,
-0.16553983092308044,
-1.0551139116287231,
-0.6391904354095459,
-0.29465532302856445,
-0.31944179534912... |
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".
American Airlines Flight 11: FAA Awareness. Although the Boston Center air traffic controller realized at an e... | No | 0 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
0.7139109373092651,
-0.1437775045633316,
-0.06753475964069366,
0.04147706925868988,
0.3594397008419037,
0.18605536222457886,
0.7842134833335876,
0.7698189616203308,
-0.6415714025497437,
0.43520474433898926,
-0.7060010433197021,
-0.18661753833293915,
-0.194993257522583,
-0.1525261253118515,... |
Detailed Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Q: Person1: Here we are , Ryan ! This is wh... | 1 | 9 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
0.4105527997016907,
0.671701192855835,
0.14344242215156555,
-0.2635391056537628,
0.15985044836997986,
-0.4269474148750305,
0.9092262983322144,
0.2772984504699707,
0.23033542931079865,
0.29136741161346436,
0.23192809522151947,
0.07053615152835846,
-0.9340260028839111,
0.07967405021190643,
... |
Given the task definition, example input & output, solve the new input case.
We would like you to assess the QUALITY of each of the following argument (discussing Gay Marriage) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or ... | Valid | 1 | NIv2 | task148_afs_argument_quality_gay_marriage | fs_opt | [
-0.37442541122436523,
0.43040698766708374,
0.2149098664522171,
-0.059867702424526215,
-0.1180734783411026,
-0.8385453820228577,
0.3169456124305725,
0.672465443611145,
0.15204623341560364,
-0.36555182933807373,
-0.8569357395172119,
0.17201858758926392,
-0.0643526166677475,
-0.30551159381866... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that st... | [0, 66, 878] | 1 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.36282867193222046,
-0.14497160911560059,
-0.3505731523036957,
0.09912039339542389,
0.20998480916023254,
0.4301583468914032,
0.5161711573600769,
0.16405698657035828,
-0.5091304779052734,
0.5583242774009705,
-0.5329599380493164,
-0.4653504490852356,
0.02489122562110424,
-0.335282266139984... |
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.
Q: what do people think of These Girls?
A: | okay | 4 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.4985158443450928,
0.5596626996994019,
-0.3927067518234253,
-0.28163307905197144,
0.13736359775066376,
-0.3507263660430908,
1.5995234251022339,
0.7510839700698853,
0.2105245441198349,
-0.003956410102546215,
-0.4982703626155853,
-0.12355610728263855,
-0.03250117972493172,
-0.0613515265285... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientatio... | Non-identity-attack | 2 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.5732164978981018,
0.2425774335861206,
0.3123936057090759,
0.2678450345993042,
-0.20039746165275574,
0.1835477352142334,
0.8143755793571472,
0.37712258100509644,
0.3231419026851654,
0.13974645733833313,
-0.002371404320001602,
-0.5564309358596802,
-0.6487913131713867,
-0.9478867053985596,... |
Teacher:Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
Teacher: Now, understand the problem? Solve this instance: concept: Paul Keating question: what party did paul keating belong to?
Student: | ['Australian Labor Party'] | 6 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
-0.7659671902656555,
1.0433580875396729,
0.2586166262626648,
0.0525493249297142,
-1.35819673538208,
-0.9355313777923584,
1.1459782123565674,
-0.12685784697532654,
0.24800676107406616,
-0.01684250496327877,
-0.19861140847206116,
-0.24352623522281647,
0.27330905199050903,
-0.4402904510498047... |
Detailed Instructions: In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: if a and b get profits of rs . 15,000 and rs . 5,000 respectively at the end of year then ratio of... | c | 9 | NIv2 | task1419_mathqa_gain | zs_opt | [
0.432245671749115,
0.7829141616821289,
-0.46727606654167175,
0.4263681173324585,
-0.7625974416732788,
0.24928995966911316,
0.7176228165626526,
1.082655429840088,
0.1278785765171051,
-0.007238776423037052,
-1.0305662155151367,
0.13604804873466492,
-0.2895999550819397,
-0.33014726638793945,
... |
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.
[EX Q]: Sentence: 'a phone on a white toilet in a room'. Count the number of consonants in the given sentence.
[EX A]: 13
[EX Q]: Sentence: 'two plates of pasties ... | 19
| 6 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.29762446880340576,
0.7205123901367188,
-1.3581124544143677,
-0.7341727614402771,
0.012972633354365826,
0.31231045722961426,
-0.5893257856369019,
0.8400000333786011,
0.13753825426101685,
-0.020032908767461777,
-0.38214683532714844,
0.2515462040901184,
0.11246154457330704,
-0.6940497159957... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Q: بیش از ۱۰۰ هزار دانش آموز علوم را این جوری یاد میگیرند.
A: | מעל ל-100,000 תלמידים לומדים מדע בדרך זו. | 9 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
-1.0055303573608398,
0.8034409284591675,
0.007805273402482271,
-0.44690796732902527,
-0.8671544194221497,
0.16587761044502258,
0.5501067042350769,
-0.12133453786373138,
0.8021407127380371,
-0.7446529269218445,
-0.7147469520568848,
0.239903062582016,
-0.5796550512313843,
0.432208776473999,
... |
Detailed Instructions: 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'.
Problem:Dialogue 1: 'ok when's good for you didn't get you'. Dialogue 2: 'not... | yes | 8 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.5933060646057129,
0.35580065846443176,
0.5140444040298462,
-0.8214298486709595,
-0.16010820865631104,
0.2102993279695511,
1.0098463296890259,
0.05161750689148903,
-0.5174293518066406,
-0.15304449200630188,
0.357030987739563,
-0.617948055267334,
-0.19484281539916992,
0.21224886178970337,... |
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Q: Sentence: 'Why does China demand apology from only Japan ?', Argument/Subject 1: 'japan', Argument/Subject 2: 'china'
A: demand apology from
****
Q:... | marry
****
| 4 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.23482555150985718,
-0.28849804401397705,
-0.1942369043827057,
-0.05881644785404205,
0.032559677958488464,
-1.0578062534332275,
-0.21877408027648926,
0.3983801007270813,
0.20329806208610535,
0.23181037604808807,
-0.2696209251880646,
-0.07027117908000946,
0.17982053756713867,
-0.003910147... |
In this task, you are given a hateful post in Spanish from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Example Input: Post: @zvonimirsoldo @FOXSpor... | Generic
| 3 | NIv2 | task338_hateeval_classification_individual_es | fs_opt | [
-0.43274715542793274,
0.468461275100708,
0.22767195105552673,
0.5751926898956299,
-0.4535616636276245,
-1.1983402967453003,
0.4635280966758728,
0.5596190690994263,
-0.2242673933506012,
-0.5246829986572266,
-0.4545077383518219,
0.28050655126571655,
-0.9511095881462097,
-0.6883924603462219,
... |
In this task you will be given a list of strings and you need to concatenate them.
[EX Q]: ['ye,', 'U', 'he', 'T']
[EX A]: ye,UheT
[EX Q]: ['B', 'timeliest', 'E', 'for', 'S']
[EX A]: BtimeliestEforS
[EX Q]: ['N', 'R', 'Now', 'B', 'S', 'the', 'G', 'to', 'm', 'tell', 'I', 'F']
[EX A]: | NRNowBStheGtomtellIF
| 6 | NIv2 | task079_conala_concat_strings | fs_opt | [
0.21159985661506653,
0.5554609298706055,
0.4613175392150879,
0.3473321199417114,
0.5056664347648621,
-0.9483346343040466,
-0.13081398606300354,
0.005029551684856415,
-0.0413474440574646,
0.7130789160728455,
-0.40883970260620117,
0.11237426102161407,
-0.3967296779155731,
-0.5456922054290771... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
Q: ['3005', 'Q', '9251', 'T', 'w', '1325', '4335', '5069', 'D', 'F', 'w', '715', ... | 13
****
| 4 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
-0.24646946787834167,
-0.012724112719297409,
-0.25178802013397217,
-0.2275884449481964,
-0.0037048771046102047,
-0.5278222560882568,
0.8138190507888794,
0.49688807129859924,
-0.8913834691047668,
0.6584999561309814,
-0.4753630757331848,
0.5477855205535889,
-0.4392527937889099,
0.27341625094... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Example: ۵۲٪ از کاربران رایانه دارای دانش رایانهای هستند.
Output: 52% of computer users are Internet literate.
This is a good example. The above... | A man was beaten by members of the public in Kotodayo community in Ota in western Nigeria, on August 22, 2013, for allegedly being gay. This came in the wake of a bill passed in the Nigeria's House of Representative on May 30, 2013, which criminalises gay marriage, same-sex relationships and membership of a gay rights ... | 1 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-0.9876587390899658,
0.5829184651374817,
-0.10524937510490417,
0.3707107603549957,
-0.2754420042037964,
0.4994097352027893,
1.081207513809204,
0.22456830739974976,
0.5861828327178955,
0.5905091762542725,
-0.07320642471313477,
0.35421299934387207,
-0.5183084607124329,
-0.1139247715473175,
... |
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Consider Input: Japanese: 父兄は、生徒の間での白血病の多発を含めた学校や職場での健康問題についての懸念を表明し、何年も求めてきた対話を始めた。
Thai: บรรดาผู... | Output: Yes
| 2 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt | [
0.11990387737751007,
-0.844306230545044,
-0.2546039819717407,
0.32617372274398804,
0.21092800796031952,
-0.4180147647857666,
0.6407314538955688,
1.0225017070770264,
-0.2690250277519226,
0.025892170146107674,
-0.056873686611652374,
0.7491258978843689,
-0.04847947135567665,
0.250303208827972... |
Detailed Instructions: In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" ... | False | 9 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.4020364284515381,
0.5372949242591858,
-0.5125371217727661,
-0.6930946111679077,
-0.3409748375415802,
-0.42308521270751953,
1.0216343402862549,
0.22806689143180847,
0.4349520206451416,
-0.02437811903655529,
-0.4345356822013855,
0.22177466750144958,
-0.6334915161132812,
0.4558351337909698... |
You are given a statement written in Hindi. 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 .
[EX Q]: Statement: ऑस्ट्रेलिया में, यूरेशियाई वृक्ष गौरैया <MASK>, उत्तरी विक्टोरिया के कस्बों और न्यू साउथ वेल्स क... | डेनमार्क
| 6 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | fs_opt | [
0.17118540406227112,
0.3849639296531677,
-0.5679922699928284,
0.5378190279006958,
0.24715787172317505,
-0.8023123145103455,
-0.24957406520843506,
0.5525087118148804,
-0.24609613418579102,
-0.4250175952911377,
-0.28563177585601807,
0.9660903811454773,
-0.5996434688568115,
-0.135280847549438... |
Instructions: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: 「その時、私は彼が私に会いたがっていると気付いた」
Output: | "វាគឺនៅពេលដែលខ្ញុំបានដឹងថា គាត់ចង់អោយខ្ញុំមើលគាត់។" | 3 | NIv2 | task1121_alt_ja_khm_translation | zs_opt | [
0.3270914852619171,
0.20829112827777863,
0.18777284026145935,
-0.34383463859558105,
0.10606660693883896,
-0.5400463342666626,
0.9478734135627747,
-0.05425477772951126,
0.0912046954035759,
0.10894057154655457,
-1.202425241470337,
0.015008274465799332,
-1.3161463737487793,
0.2209711670875549... |
Given a sentence in Vietnamese, generate a new Vietnamese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability o... | Một cuốn sách được dùng để hỏi về âm nhạc.
| 1 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | fs_opt | [
-0.19339525699615479,
-0.036842796951532364,
-0.30821841955184937,
0.23889407515525818,
-0.04662078619003296,
-0.7365272045135498,
0.14499424397945404,
1.3526825904846191,
-0.11829294264316559,
0.27948522567749023,
-0.5060243010520935,
-0.05349494516849518,
-0.11385570466518402,
0.11053952... |
Definition: In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office Holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)A... | 3 | 2 | NIv2 | task629_dbpedia_14_classification | zs_opt | [
-0.3284187912940979,
0.712827742099762,
-0.012466199696063995,
-0.6689275503158569,
0.3195728659629822,
0.07072954624891281,
-0.010590970516204834,
0.09185303747653961,
-0.29251718521118164,
-0.09408679604530334,
-0.39533764123916626,
0.1739596426486969,
-0.17641708254814148,
-0.1094660609... |
Detailed Instructions: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[... | [-666, -232, -55] | 4 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.31375667452812195,
0.06898181885480881,
-0.3092291057109833,
-0.47615599632263184,
-0.21370616555213928,
0.3896637260913849,
0.8291962146759033,
0.23669639229774475,
-0.4827996492385864,
0.547417938709259,
-0.7206313610076904,
-0.3420644700527191,
-0.02990005724132061,
-0.15414734184741... |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Let me give you an example: Personality: I like spending time with my friends and family.
I ... | I think it has something to do with being 6 feet tall. | 8 | NIv2 | task1730_personachat_choose_next | fs_opt | [
0.6219918727874756,
-0.004707247018814087,
-0.42080020904541016,
-0.16262517869472504,
0.03999215364456177,
-0.46568310260772705,
1.1943352222442627,
0.06266655027866364,
-0.8266545534133911,
-0.6584731340408325,
-0.10292549431324005,
0.4265630841255188,
-0.6300182342529297,
0.036652766168... |
Detailed Instructions: You are given a statement written in Gujarati. 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 .
Q: Statement: વાસણા ચૌધરી <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્ય ભાગમાં આવે... | ભારત | 9 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
0.3140532970428467,
0.9080082178115845,
-0.057468339800834656,
0.16967597603797913,
-0.40679436922073364,
-0.2562280297279358,
0.56839519739151,
0.7748438119888306,
0.13403645157814026,
-0.31401997804641724,
-0.38259899616241455,
0.1478673219680786,
0.195663720369339,
-0.5886746644973755,
... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'a man holding a tennis racquet in front of a blue wall'. Rem... | a man a tennis in front of a blue wall | 6 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
0.22840683162212372,
0.5579173564910889,
-0.0203908309340477,
-0.7365859746932983,
0.01572280563414097,
-0.30193108320236206,
0.0014688735827803612,
0.7680999040603638,
0.4589064121246338,
-0.2241300344467163,
-0.7912188172340393,
-0.06975962221622467,
-0.500795304775238,
-0.24796833097934... |
Given the task definition and input, reply with output. Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: これらは在来植物に代わって植えられる予定である。
Filipino: ... | No | 5 | NIv2 | task1120_alt_ja_fil_answer_generation | zs_opt | [
-0.5215673446655273,
0.08259525895118713,
0.30857911705970764,
0.3503722548484802,
-0.1738753616809845,
-1.415130376815796,
0.8296995759010315,
0.6713697910308838,
-0.14249937236309052,
-0.2491147667169571,
-1.0520347356796265,
0.36295950412750244,
-0.5762832164764404,
0.6865040063858032,
... |
You are given a statement written in Bengali. 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 .
Q: Statement: <MASK> সালের ক্রিকেট বিশ্বকাপ প্রতিযোগিতায় অংশগ্রহণের লক্ষ্যে ১১ জানুয়ারি, ২০১৫ তারিখে ক্রিকেট অস... | ২০১৫ | 4 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | zs_opt | [
0.5524970889091492,
0.4082038402557373,
-0.7035697102546692,
0.47477591037750244,
0.014489669352769852,
-0.9036427140235901,
0.28070664405822754,
0.3688162863254547,
0.31411051750183105,
0.008392605930566788,
0.0470072478055954,
-0.13196231424808502,
0.11349844932556152,
0.0145673630759119... |
Detailed Instructions: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Problem:Title: Going to Bed Early. S... | It broke and made the cat screech. | 8 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.26043686270713806,
1.0458605289459229,
0.24914222955703735,
-1.1237905025482178,
-0.8066072463989258,
-0.16811752319335938,
0.03736661374568939,
0.19148477911949158,
-0.15057848393917084,
-0.09023686498403549,
-0.5398718118667603,
-0.020477620884776115,
-0.23303407430648804,
0.111295297... |
Teacher:Given a sentence in Hindi, generate a new Hindi 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 ... | आप एक कार्य - नियुक्ति दर होगा क्योंकि आप इसे देखने के लिए पैसे का भुगतान करते थे । | 6 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
0.046619389206171036,
0.48293569684028625,
0.3886539340019226,
-0.1274365484714508,
-0.2829759120941162,
-0.6214561462402344,
0.6633709669113159,
0.8098264336585999,
-0.08544247597455978,
-1.055490493774414,
-0.0994020402431488,
-0.06429360806941986,
-0.5957064628601074,
0.0359993129968643... |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For ... | None | 3 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
-0.08779360353946686,
0.24011540412902832,
-0.11330467462539673,
-0.34024354815483093,
0.20675106346607208,
-0.09991271048784256,
0.6145752668380737,
0.694359540939331,
-0.016613107174634933,
-0.39884141087532043,
-0.2762693166732788,
-0.036648716777563095,
-0.6458503007888794,
0.134827643... |
instruction:
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.
question:
Turning around quickly Kol dodges a dagger just in time.
answer:
Singular
quest... | Plural
| 9 | NIv2 | task431_senteval_object_count | fs_opt | [
-0.8168210983276367,
1.0793707370758057,
0.023765912279486656,
-0.5579057335853577,
-0.457388699054718,
-0.2540193796157837,
1.2609922885894775,
0.02055026963353157,
-0.2841106057167053,
-0.11530182510614395,
-0.09739739447832108,
0.283052921295166,
-0.6102023124694824,
-0.0928022786974906... |
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
Example input: [1,3,5]
Example output: 3.000
Ex... | 68.167 | 3 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.21571193635463715,
0.2849167585372925,
-1.2283735275268555,
-1.131340742111206,
0.20943769812583923,
0.021022941917181015,
0.8033806681632996,
0.005719806998968124,
0.07448269426822662,
-0.17817877233028412,
-1.0103436708450317,
0.8541531562805176,
-0.42571786046028137,
0.00457398034632... |
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question ... | #1 return books
#2 return #1 after year 1989
#3 return categories of #2
#4 return number of #2 for each #3
#5 return #3 where #4 is at least two
| 5 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.8721176981925964,
-0.2873847186565399,
-0.7997850775718689,
0.44799792766571045,
0.13605044782161713,
-0.1556151658296585,
1.2138841152191162,
0.20051512122154236,
-0.12264426052570343,
0.49908557534217834,
-0.5566658973693848,
0.027761589735746384,
0.1878131777048111,
0.5625104904174805... |
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.
Q: It also has original jurisdiction to try Sessions cases , ... | English | 4 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.21738368272781372,
0.4036117494106293,
0.7897268533706665,
0.603030264377594,
0.2104906588792801,
-0.07767174392938614,
0.09646567702293396,
0.12558072805404663,
-0.11027752608060837,
-0.6464561820030212,
0.20509417355060577,
-0.058291755616664886,
0.003949180245399475,
0.71724790334701... |
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
[EX Q]:... | You are likely to find a loop in a rock journal .
| 6 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
0.13563549518585205,
0.9144103527069092,
-0.2601056694984436,
-0.07015165686607361,
-0.13249698281288147,
-1.449729084968567,
0.2540505528450012,
0.5775604844093323,
-0.23416343331336975,
0.07004985958337784,
-0.5582735538482666,
-0.28449341654777527,
-0.7019554972648621,
0.258334457874298... |
The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
Ex... | Solution: Offensive | 5 | NIv2 | task1502_hatexplain_classification | fs_opt | [
-0.4629841446876526,
0.6228801608085632,
0.42178016901016235,
0.42988139390945435,
-0.41593053936958313,
-0.9156920313835144,
-0.04500843212008476,
0.1487908661365509,
0.6618843674659729,
0.440299391746521,
-0.37043678760528564,
0.13343897461891174,
-0.15648481249809265,
-0.724999666213989... |
Instructions: In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbe... | Numbers Win | 3 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
0.04501551017165184,
0.1888597011566162,
-0.36947470903396606,
0.20482055842876434,
-0.0065614450722932816,
-0.9631564021110535,
0.5179514288902283,
0.40772485733032227,
-0.8381145596504211,
0.4098404347896576,
-0.862183153629303,
0.22555331885814667,
-0.38643917441368103,
-0.0740900635719... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | Yes | 8 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.006165634840726852,
0.41483551263809204,
0.3378590941429138,
-0.5316705703735352,
-0.601138710975647,
-0.8212845325469971,
1.4141654968261719,
0.31655627489089966,
-0.5627363920211792,
-0.7158021926879883,
-0.22929969429969788,
-0.4882727265357971,
-0.6703692078590393,
0.3350933194160461... |
In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
Example Input: SECTION 1. SHORT TITLE.
This Act may be cited as the ``Invest in Energy Security Act''.
SEC. 2. STRATEGIC PETROLEUM RESERVE.
(a) Petroleum Acquisition for the St... | Directs the Secretary of the Interior to make a grant to the Alaska Federation of Natives to further investigate and report to the Congress with proposals to implement the recommendations of the Alaska Natives Commission.
Authorizes appropriations.
Encourages additional State funding for the completion of the study.
... | 3 | NIv2 | task1658_billsum_summarization | fs_opt | [
0.529981255531311,
-0.008795447647571564,
-0.5818867683410645,
-0.33563753962516785,
0.13326239585876465,
-0.46933531761169434,
0.7350819110870361,
1.1643495559692383,
-0.32374411821365356,
0.10443136096000671,
0.3503071665763855,
0.22247938811779022,
-0.28885215520858765,
-0.7629450559616... |
TASK DEFINITION: Given a passage in simplified Chinese, generate a reading comprehension question. The question should be unambiguous and the answer to this question should be in the passage.
PROBLEM: Passage: 王栋（），中国足球运动员，司职中场。2003年王栋就进入北京国安的一线队名单，曾担任北京十运队队长，但在北京国安却始终无法获得机会。2010年，王栋在北京国安坐了多年的板凳之后选择转会，加盟深圳红钻寻求比赛机会，因要求转... | 干杉镇位于什么地方？
| 8 | NIv2 | task1402_clue_question_generation | fs_opt | [
0.6276495456695557,
0.5765990018844604,
-0.6880556344985962,
0.1722354143857956,
0.5596458911895752,
-0.00340179237537086,
0.6411027908325195,
1.2455203533172607,
-0.3955678343772888,
0.24412330985069275,
-0.5210351347923279,
0.40593135356903076,
-0.7293847799301147,
0.5596789121627808,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Example: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.
Example solution: Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Example explanation: The Spanish sentence is ... | Solution: Em vez de curiosidade, o que temos | 5 | NIv2 | task1104_ted_translation_es_pt | fs_opt | [
0.016658931970596313,
1.106442928314209,
0.6154615879058838,
-0.41575339436531067,
-0.2912645936012268,
-0.8195420503616333,
-0.18210962414741516,
0.4637448191642761,
0.5398086905479431,
-0.880385160446167,
-0.9269265532493591,
0.10224751383066177,
-0.9155373573303223,
-0.1886092722415924,... |
Teacher:In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Teacher: Now, understand the problem? Solve this instance: Piglets normally grow about half their potential growth rate from birth to _ weeks of age.
Student: | three | 6 | NIv2 | task672_nummersense | zs_opt | [
-0.4583326578140259,
0.817872166633606,
-0.10035066306591034,
-0.5789939165115356,
-0.5004469752311707,
-0.47940492630004883,
-0.14896321296691895,
0.6969718337059021,
0.3565705418586731,
-0.24919679760932922,
-0.1655891239643097,
0.3759128451347351,
-0.8195674419403076,
-0.227110400795936... |
Detailed Instructions: In this task, you are given a sentence in the Hindi 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).
Problem:साकाशविली का युद्धविराम का आह्वान उसके घोषणा क... | Saakashvili's call for a ceasefire comes soon after his declaration that Georgia is now in a state of war. | 8 | NIv2 | task433_alt_hi_en_translation | zs_opt | [
-0.25564634799957275,
0.4128454327583313,
0.47503694891929626,
-0.6930904388427734,
0.10656806081533432,
-0.4981977343559265,
0.6140385866165161,
0.46764957904815674,
-0.10475105792284012,
-0.36498335003852844,
-0.19658440351486206,
-0.21787399053573608,
-0.37759196758270264,
-0.3159377574... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Uczą też odpowiedniego karmienia dziecka, planowania rodziny, bezpiecznego seksu - robią to, na co pielęgniarki po prostu nie mają czasu.
Output: | They delegate education about infant feeding, family planning, safer sex, actions that nurses simple just don't have time for. | 1 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-1.2931331396102905,
0.7929437160491943,
0.07665053009986877,
-0.6611274480819702,
0.045693349093198776,
-0.41919389367103577,
0.146809384226799,
0.440947949886322,
0.18382766842842102,
0.15054649114608765,
0.18807223439216614,
0.17512598633766174,
-0.659206748008728,
-0.0804603174328804,
... |
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | Solution: U zult zich waarschijnlijk een bordspel in een bibliotheekwinkel herinneren. | 5 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.2475508749485016,
1.0893946886062622,
-0.39260512590408325,
-0.16041862964630127,
-0.12979556620121002,
-0.9379940032958984,
0.429430216550827,
0.637192964553833,
0.3522127866744995,
-0.4244457483291626,
-0.6975443959236145,
0.4539982080459595,
-0.8600728511810303,
0.1852128803730011,
... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (co... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF'... | 4 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.42929840087890625,
-0.11995101720094681,
0.06627610325813293,
-0.5835031270980835,
-0.03036324679851532,
-0.9027871489524841,
0.4741700291633606,
0.8412627577781677,
-0.2562653422355652,
0.20382270216941833,
-0.4361391067504883,
0.13364309072494507,
-0.3433710038661957,
-0.05556499958038... |
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.
Example input: What can one do after MBBS?
Example output: What do i do after my MBBS ?
Example explanation: In this example both the question ask the same th... | What are some popular western assumptions made about China over the past 200 years which have proven wrong? | 3 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
-0.2331564873456955,
1.223329782485962,
-0.004136526957154274,
0.045840926468372345,
-0.453911691904068,
-0.3350129723548889,
1.3243484497070312,
-0.04332377761602402,
0.048444584012031555,
-0.144826278090477,
-0.2486470341682434,
0.09831436723470688,
-0.6565383672714233,
-0.02000934816896... |
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".
--------
Question: Reviews: It stopped working after 6 weeks... | True
| 7 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.49476128816604614,
-0.14354628324508667,
0.14805328845977783,
-0.8754092454910278,
0.021309759467840195,
-0.2703939974308014,
0.49927371740341187,
0.5112645030021667,
-0.33758944272994995,
0.33669519424438477,
-0.38908958435058594,
-0.10582877695560455,
-0.36005181074142456,
-0.06973217... |
Detailed Instructions: In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False"
Problem:Review: I never by clothes online because I’m scared that I won’t like them. I’m glad I took a ri... | False | 8 | NIv2 | task1313_amazonreview_polarity_classification | zs_opt | [
-0.5826904773712158,
-0.0809553861618042,
0.3704811930656433,
-0.09811758995056152,
-0.1357828974723816,
-0.44577139616012573,
1.1886508464813232,
0.0520143061876297,
0.5751866102218628,
0.33878618478775024,
-0.3113407492637634,
-0.004858663771301508,
-0.7030091881752014,
-0.78421932458877... |
Teacher: In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should... | Yes | 2 | NIv2 | task426_hindienglish_corpora_hi-en_classification | fs_opt | [
0.12610986828804016,
0.007833742536604404,
0.537724494934082,
0.25946229696273804,
0.06331858038902283,
-0.7608658075332642,
-0.3642894923686981,
1.1991465091705322,
-0.3504437804222107,
-0.5347862243652344,
-0.3936273455619812,
-0.1277095377445221,
-0.5684318542480469,
-0.1912915408611297... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
One example is below.
Q: PersonX does PersonX's job well
... | apologetic for stopping in front of person. | 9 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.21842381358146667,
0.7556469440460205,
0.18463876843452454,
-0.7466548681259155,
-0.3568772077560425,
-0.5921730995178223,
1.3979759216308594,
0.4652895927429199,
0.21252286434173584,
-0.8275055885314941,
0.16555145382881165,
-0.22914351522922516,
-0.6157161593437195,
0.563136875629425,... |
Teacher: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Con el crecimiento, los países y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente, de oportunidad y me... | So on this side, you've got a number — you've done it lots of times, so you get it accurately — which is the average number of tosses until head-tail-tail. | 2 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.5596358180046082,
0.4078276753425598,
0.4157180190086365,
-0.8806396722793579,
-0.20996682345867157,
0.36360597610473633,
-0.3212907314300537,
1.08156156539917,
-0.37295475602149963,
0.0036435681395232677,
-0.5776101350784302,
0.14958232641220093,
-0.7539867758750916,
-0.432789802551269... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Input: Consider Input: 冷却効果が起こります。良いアイディアでしたが、うまくいきませんでした。爆発したんです。アンモニアの熱し方を間違えると、大変な気圧が発生し ４００psiまで達します。有毒性のアンモニアが飛び散ったという訳です。
Output: Questo Canadese pazzo chiamato Powell Crosley commercializzò, nel 1928, la IcyBall.... | Output: Per loro, la scelta non era solo un modo per definire e affermare la loro individualità, ma un modo per creare comunità e armonia accettando le scelte fatte da persone che rispettavano e di cui si fidavano.
| 2 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
0.04699370265007019,
0.5929901599884033,
-0.3668400049209595,
0.4923195242881775,
0.04182042181491852,
-0.7413793802261353,
0.3199160099029541,
0.46713411808013916,
-0.29218530654907227,
-0.39500248432159424,
-0.4943459630012512,
0.6022951602935791,
-0.3558350205421448,
-0.6389594078063965... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Person1: Excuse me . What time does the next bus for Boston leave... | 1 | 0 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
-0.18743757903575897,
-0.25588467717170715,
0.14169204235076904,
0.19442814588546753,
-0.2640407681465149,
0.10741540789604187,
0.2924945652484894,
0.35735368728637695,
0.3742918372154236,
0.1303587555885315,
-0.14843520522117615,
-0.6471693515777588,
0.6466380953788757,
-0.141024887561798... |
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correc... | Converted sugar. | 4 | NIv2 | task041_qasc_answer_generation | zs_opt | [
0.5672683715820312,
1.3810200691223145,
-0.39556899666786194,
-1.0431900024414062,
-0.8582192659378052,
-1.379041075706482,
0.7931150197982788,
0.1969282329082489,
-0.03298494964838028,
-0.48805686831474304,
-0.4935297667980194,
0.28057804703712463,
-0.5811359286308289,
0.08942418545484543... |
TASK DEFINITION: In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
PROBLEM: [header] How to treat cold sores in your nose [title] Figure out if you h... | A
| 8 | NIv2 | task1389_hellaswag_completion | fs_opt | [
0.8054922819137573,
-0.0005330368876457214,
-0.3577142357826233,
0.4126034677028656,
0.8547529578208923,
-0.26906663179397583,
1.0016905069351196,
0.3305034637451172,
-0.15596896409988403,
0.1715410351753235,
-0.17594222724437714,
-0.11830918490886688,
0.11759400367736816,
0.07192197442054... |
A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
આ ગતિ, આ ઝડપ, આ પ્રગતિ, આ લક્ષ્ય તેની પ્રાપ્તિ માટે આપણે આગળ વધીશું.
இந்த இலக்குகள் அனைத்தையும் எட்டுவதற்கு வேகத்தில் நாம் செல்வோம்.
બસ્તર હવે રેલવેનાં... | நாடு முழுவதும் மாற்றுத் திறனாளிகள் பயன்பெறுவதற்கு வசதியாக ஒரே மாதிரியான சமிஞை மொழியினை அரசு துவக்கி, செயல்படுத்தி வருகிறது.
| 0 | NIv2 | task1063_pib_translation_gujarati_tamil | fs_opt | [
-0.9048025608062744,
0.732323408126831,
0.4129248857498169,
-0.1900745928287506,
-0.46492260694503784,
-0.08015057444572449,
0.7300822138786316,
0.5881305932998657,
-0.3369247317314148,
-0.39027470350265503,
-0.8917099833488464,
-0.00047006679233163595,
-0.4133296012878418,
0.2426892668008... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
Let me give you an example: It's sort of the biggest TiVo box you've ever seen.
The answer to this example can be: To największa nagrywarka, jaką w życiu widzieliście.
Here is why: The English sentence is correctly translat... | Nazywa się to "" zmianą funkcji "". | 8 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
-0.25848057866096497,
0.33991044759750366,
0.4362144470214844,
0.7005764245986938,
0.483808308839798,
-0.4592472016811371,
0.5345073938369751,
-0.7622928619384766,
0.025794751942157745,
0.035550788044929504,
0.5338334441184998,
0.08911488950252533,
-0.8938841223716736,
0.6426731944084167,
... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
Ex Input:
[... | 4, 5, 8, 12, 13, 15, 18, 20, 22, 25, 26, 27
| 1 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
0.26090842485427856,
-0.09399797767400742,
-0.16359105706214905,
-0.5083682537078857,
0.4635896682739258,
-0.5182689428329468,
0.8352043032646179,
0.7466728687286377,
-0.5697551369667053,
0.4021414816379547,
-0.6482948660850525,
-0.19947946071624756,
0.031416356563568115,
-0.20142510533332... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further informati... | Following the success of Sullivan's ballet Victoria and Merrie England in 1897, Carte asked Sullivan to work on another new opera for the Savoy | 1 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
0.39096206426620483,
0.9951707124710083,
0.05848385766148567,
0.2433219701051712,
0.17537884414196014,
0.06151772290468216,
-0.3070288896560669,
0.2910325229167938,
0.6614282131195068,
0.2595716714859009,
-0.0052822045981884,
1.0138691663742065,
-0.3674256205558777,
0.13834066689014435,
... |
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Q: Sentence1: Lester was a good student. Sentence2: One day he forgot to do his homework. Sentence3: He told... | Lester was happy but knew it wouldn't work again. | 4 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.7200623750686646,
1.016181230545044,
0.3602702021598816,
-1.6617610454559326,
0.38503408432006836,
-0.26256221532821655,
0.4843120872974396,
0.2681676745414734,
0.35068583488464355,
-0.28674590587615967,
-0.3739338517189026,
0.2248011827468872,
-0.028150612488389015,
-0.4315117597579956... |
Definition: In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
... | [76, 38, -46] | 2 | NIv2 | task369_synthetic_remove_odds | zs_opt | [
-0.7337769269943237,
0.4646218717098236,
-0.1787087768316269,
-0.5928595066070557,
0.14021697640419006,
-0.03012559935450554,
0.7618404626846313,
0.1962614357471466,
0.5282210111618042,
0.3481598496437073,
-0.7506921887397766,
-0.3687230944633484,
-0.032952770590782166,
-0.1716761589050293... |
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
--------
Question: Sentence1: John was excited. Sentence2: He was going to the beach tomorrow. Sentence3: Th... | The other boy helped him rebuild the sand castle!
| 7 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt | [
0.546272873878479,
0.8776910305023193,
-0.9623396396636963,
-0.6524198055267334,
-0.41104599833488464,
-0.956182599067688,
0.17259038984775543,
0.8843249082565308,
-0.38950860500335693,
-0.20233726501464844,
-0.5465857982635498,
0.4745248854160309,
-0.47891443967819214,
-0.3183971643447876... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
[EX Q]: Refiro-me a isto porque há hoje profetas que alegam que a tecnologia irá alterar a condição humana na sua fundação, e talvez até transformar a espécie humana.
[EX A]: Affronto il tema perché ci sono dei profe... | ho seguito questo maiale, il maiale numero 05049, dall'inizio alla fine, fino ai prodotti in cui è finito.
| 6 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-1.025634527206421,
0.5662835836410522,
-0.03376617655158043,
0.05577400326728821,
-1.2189701795578003,
-0.191270112991333,
0.5873816013336182,
1.1326080560684204,
0.07950669527053833,
-0.15909728407859802,
-0.5127134323120117,
0.8107451796531677,
-0.1264532208442688,
0.13365775346755981,
... |
You will be given a definition of a task first, then some input 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 generate label "No".
Japanese: 1981年以降最も低い数値... | No | 1 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.40699344873428345,
-0.43111205101013184,
0.1325930505990982,
-0.2255217283964157,
0.30253341794013977,
-0.2730790376663208,
0.23847821354866028,
0.2877301573753357,
-0.34656620025634766,
0.3368490934371948,
-0.0821656733751297,
-0.17755049467086792,
-0.23315894603729248,
0.3845292329788... |
Detailed Instructions: 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 buildin... | I_WALK I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN | 9 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
-0.040371328592300415,
1.0778906345367432,
-0.3096425533294678,
0.18880903720855713,
-0.17300280928611755,
0.1036362498998642,
0.11907932907342911,
-0.05237893387675285,
-0.0933377668261528,
-0.1862477958202362,
-0.7608538866043091,
0.12425998598337173,
-0.522948145866394,
0.08339708298444... |
Part 1. Definition
In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
Part 2. Example
Do you want to see that movie?
Answer: Y... | Y has just travelled from a different city to meet X. | 7 | NIv2 | task567_circa_text_generation | fs_opt | [
0.080658920109272,
0.5903695821762085,
-0.38715821504592896,
0.28923267126083374,
0.30429643392562866,
-0.2582630217075348,
0.6010915040969849,
0.4120943546295166,
0.456310510635376,
-0.40054237842559814,
-0.6003753542900085,
-0.035835325717926025,
-0.9835668802261353,
0.39281466603279114,... |
Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Input: Comment: Trump's death is wh... | Threat | 3 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.7008183002471924,
0.9727360010147095,
0.5900037288665771,
0.5946215391159058,
-0.27844732999801636,
-0.5001526474952698,
0.9401991963386536,
0.8263101577758789,
0.04486357420682907,
0.34904977679252625,
-0.2392047643661499,
0.009975936263799667,
-0.3382260501384735,
-0.5511109828948975,... |
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Q: PersonX prevents the ___ from taking
A: burglar
****
Q: PersonX drives ___ from ... | pepperoni pizza
****
| 4 | NIv2 | task1217_atomic_answer_generation | fs_opt | [
0.3904097080230713,
1.2891472578048706,
0.11675457656383514,
-0.5709406137466431,
-0.5779704451560974,
-0.39947062730789185,
0.8129082322120667,
0.7559444308280945,
0.048185691237449646,
-0.5406156182289124,
-0.9661190509796143,
-0.747285008430481,
-0.32667553424835205,
-0.6096636056900024... |
The input is a conversation between an automated system and a user, followed by a question. The user is 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 ... | No | 9 | NIv2 | task1501_dstc3_answer_generation | fs_opt | [
0.6445387601852417,
0.4316522479057312,
-0.2888685464859009,
-0.12907639145851135,
0.09501668810844421,
-0.5787045955657959,
0.4969080090522766,
0.8574531078338623,
-0.007595031522214413,
0.2895166575908661,
0.20489197969436646,
-0.22033622860908508,
-0.1574975550174713,
0.0744023919105529... |
Detailed Instructions: In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Problem:Quiero, por último, referirme a las enmiendas relativas a sustancias peligrosas ... | I would lastly like to refer to the amendments on dangerous substances which establish that we must achieve a zero, or close to zero, degree of pollution. | 8 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
-0.29207614064216614,
0.8125674724578857,
0.5910543203353882,
-0.4918343424797058,
0.08971931785345078,
-0.7055116891860962,
0.6273468136787415,
0.7065321207046509,
-0.22941434383392334,
-0.22782932221889496,
-0.5243157148361206,
0.019669339060783386,
-0.769402027130127,
-0.428145468235015... |
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".
Bought this under the influence of many positive reviews. I'm sorry to say that I found this produce upalatable, unacceptable. It manages to be... | False | 0 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
-0.4011479616165161,
0.3365190625190735,
0.23494639992713928,
-0.8594569563865662,
-0.3122105002403259,
-0.7262921333312988,
0.48132744431495667,
0.5719103813171387,
-0.8482086062431335,
0.42685866355895996,
-0.25684165954589844,
0.11611048877239227,
-0.7142036557197571,
-0.286805510520935... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Ex Input:
המרכיבים לקיום חיים הם: מים נוזליים - חייבים שתהיה תמיסה, לא קרח, אלא נוזל.
Ex Output:
Os ingredientes da vida son: auga en estado líquido, temos que ter un solvente, non pode ser xeo, ten que ser líquido.
Ex I... | Esta é a derradeira fronteira da reciclaxe.
| 1 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.6935324668884277,
0.9368579983711243,
0.02050270140171051,
-0.2049388587474823,
-0.013167010620236397,
-1.0359318256378174,
0.4556543231010437,
0.23003938794136047,
-0.6413998603820801,
-0.14226259291172028,
-0.1014319583773613,
-0.033183883875608444,
-1.1986322402954102,
0.090373285114... |
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.
One example: Category: EVERYBODY TALKS ABOUT IT...
Clue: In the winter of 1971-72, a record 1... | white fang | 6 | NIv2 | task305_jeopardy_answer_generation_normal | fs_opt | [
-0.24975009262561798,
0.3069709837436676,
-0.4518274664878845,
-0.27115562558174133,
-0.21523745357990265,
-0.15689536929130554,
0.19190755486488342,
0.2581235468387604,
0.46531611680984497,
-0.34894847869873047,
-0.35811787843704224,
-0.07662856578826904,
-0.7039294838905334,
0.4577972888... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
実は外界に見られるネットワーク構造は脳内のネットワーク構造と似通っていることが分かっています
Okazuje się, że pewne wzory sieci w świecie zewnętrznym naśladują wzory sieci z wnętrza ludzkiego mózgu.
人類はつがいを作る種です
Należymy do gatunku, łączącego się w pary.
それぞれの生物種が欲し... | powtórzę, niech każdy gatunek dostanie to, czego potrzebuje. Niech zaspokoją swoje potrzeby, związane z fizjologiczną odmiennością.
| 0 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
-1.0609897375106812,
0.43747279047966003,
-0.44116413593292236,
-0.13842719793319702,
-0.7402220964431763,
-0.12938633561134338,
0.9128081798553467,
-0.639507532119751,
0.11313828825950623,
-0.7293273210525513,
-1.0984306335449219,
0.6994020342826843,
-0.5964816808700562,
0.352067112922668... |
Instructions: Given a scientific question, generate a correct answer to it.
Input: By what process does oxygen enter the pores of flatworms?
Output: | diffusion | 3 | NIv2 | task591_sciq_answer_generation | zs_opt | [
0.48122715950012207,
0.49132946133613586,
-1.1217166185379028,
-0.651677668094635,
-0.5958536267280579,
0.5803744792938232,
0.3216429650783539,
-0.04738170653581619,
-0.27041521668434143,
0.03440587595105171,
-0.32616233825683594,
-0.6482288837432861,
-0.4583246111869812,
0.121919535100460... |
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'.
Example input: (A) trying to be a decent parent
(B) remaining Friendly with my racist coworker
Exampl... | A | 3 | NIv2 | task106_scruples_ethical_judgment | fs_opt | [
-0.04069940000772476,
0.34893861413002014,
0.738158643245697,
-0.21467086672782898,
-0.5775365829467773,
-0.3660656213760376,
0.42736440896987915,
0.7129959464073181,
0.22038675844669342,
0.4341047406196594,
-0.22694185376167297,
-0.088579922914505,
0.22097626328468323,
-1.269487738609314,... |
Teacher:Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability o... | Vous pouvez acheter de la viande dans une épicerie. | 6 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.49554458260536194,
0.3013695776462555,
0.4265403747558594,
-0.09026223421096802,
0.18869945406913757,
-0.2726074457168579,
0.8036497235298157,
0.5759910941123962,
0.10873772948980331,
-0.3186561167240143,
-0.8011642694473267,
0.22202439606189728,
-0.28231558203697205,
-0.264526605606079... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
[Q]: Ogłosiliśmy powstanie kursu 29 lipca, a w przeciągu dwóch tygodni 50 tysięcy ludzi się zapisało.
[A]: Anunciámos a turma a 29 de Julho e, no período de duas semanas, 50.000 pessoas já se tinham inscrito.
[Q]: Muszę ... | E para pelo menos uma delas, existe um fármaco.
| 5 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
-0.778721272945404,
0.7222133874893188,
-0.06272141635417938,
-0.27785253524780273,
-0.560904860496521,
-0.6515896320343018,
0.48113247752189636,
0.21719497442245483,
0.6644518971443176,
-0.11739680916070938,
-0.07084009051322937,
0.17352363467216492,
-0.2855522632598877,
0.451779663562774... |
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Example input: Although I did enjoy the food here, I was completely unimpressed (and slightly annoyed) by the overpriced margaritas. I ordered a platinum which contained \"fresh\" juice. It tasted like it h... | 1 star | 3 | NIv2 | task1292_yelp_review_full_text_categorization | fs_opt | [
0.464228093624115,
0.18088792264461517,
-0.8548560738563538,
0.23890233039855957,
0.5351238250732422,
-1.2862728834152222,
0.3848888874053955,
1.6651557683944702,
-0.3162556290626526,
0.18055672943592072,
0.9330399632453918,
0.1666882336139679,
-0.8859004378318787,
-0.07110017538070679,
... |
Instructions: This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WH... | ¿Cuántos empleos se han destruido en el sector manufacturero? | 3 | NIv2 | task1335_sqac_question_generation | zs_opt | [
-0.16178692877292633,
0.4383440315723419,
-1.1298601627349854,
0.5315378904342651,
-0.27086809277534485,
0.7915385961532593,
-0.4243902266025543,
1.4753448963165283,
-0.22498047351837158,
0.4613614082336426,
-0.8549643754959106,
0.7194363474845886,
-0.5268352031707764,
0.3850254416465759,
... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
واعتمد المجلس القرار 2007/33 بشأن ''تعميم مراعاة المنظور الجنساني فى جميع السياسات والبرامج في منظومة الأمم المتحدة`` الذي شُجعت فيه جميع كيانات الأمم المتحدة على مواصلة الاستثمار في تنمية القدرات، بوسائل منها تقديم التدري... | It adopted resolution 2007/33, “Mainstreaming a gender perspective into all policies and programmes in the United Nations system”, in which all United Nations entities were encouraged to continue investing in capacity development, including through mandatory training for all staff and personnel and training for senior ... | 0 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
-0.5352359414100647,
0.37501901388168335,
-0.5201404094696045,
-0.16848179697990417,
-0.2957861125469208,
-0.35796892642974854,
0.7669161558151245,
0.5505257844924927,
0.010845664888620377,
-0.31434527039527893,
-0.4460776448249817,
0.16118386387825012,
-0.1866559237241745,
0.3052600026130... |
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.
Let me give you an example: ... | museum | 8 | NIv2 | task401_numeric_fused_head_reference | fs_opt | [
-0.27544426918029785,
-0.0958167240023613,
-0.4911857545375824,
-0.059340961277484894,
-0.0725928246974945,
-0.5428347587585449,
0.2629949450492859,
0.1739993393421173,
0.11723411828279495,
0.1975938379764557,
-0.5183371901512146,
0.13257789611816406,
-0.08291901648044586,
-0.3255704641342... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Example: Tagalog sentence: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams
Example solution: Roger Federer was the first player to win 20 Grand Slams
Example explanation... | Solution: He remained there for the rest of his life but, after 1874, he was an examiner at the École. Bertrand, who was a great admirer of his work, supported him for election to the Academy of Sciences, and also supported his appointment to an additional post, namely that of professor of mathematical physics at the C... | 5 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
0.03358966484665871,
0.18263515830039978,
-0.3224857747554779,
-0.33018580079078674,
0.7440844774246216,
-0.9249622821807861,
0.4932851791381836,
0.20829202234745026,
0.05319704860448837,
-0.13872811198234558,
0.37054672837257385,
0.6667866706848145,
-0.8257254362106323,
-0.439646482467651... |
Teacher:In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, Geopolitical and... | Religious | 6 | NIv2 | task1494_bengali_hate_speech_classification | zs_opt | [
-0.3947179913520813,
0.38755685091018677,
0.5037023425102234,
0.41960328817367554,
-0.0891510471701622,
-0.9283593893051147,
-0.11577494442462921,
0.04902549833059311,
-0.11888232827186584,
-0.13028272986412048,
-0.4276040196418762,
-0.03740154206752777,
0.05894497409462929,
-1.03607940673... |
Teacher:You are given a math word problem and you are supposed to apply a single mathematical operator like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Teacher: Now, understand the problem? Solve... | 48 | 6 | NIv2 | task864_asdiv_singleop_question_answering | zs_opt | [
0.7197908163070679,
0.6165255308151245,
-0.0848204493522644,
-0.8687883615493774,
-0.8782718181610107,
0.08568714559078217,
0.33397412300109863,
0.3999449610710144,
0.12077070772647858,
-0.27742236852645874,
-0.13806593418121338,
-0.174105703830719,
-0.2552441656589508,
-0.2471083402633667... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of li... | [343, 1131, -2465, 9, 407, 705] | 1 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.473996102809906,
-0.27989280223846436,
-0.8008643388748169,
0.08925075083971024,
0.2909865081310272,
-0.2256712019443512,
0.8497189283370972,
0.9808684587478638,
-0.6284232139587402,
-0.044465065002441406,
-0.9679611325263977,
-0.294217050075531,
-0.01323005836457014,
-0.2854077816009521... |
In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office Holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Fil... | Output: 12
| 2 | NIv2 | task629_dbpedia_14_classification | fs_opt | [
0.24117136001586914,
0.6091461777687073,
-0.5788623094558716,
-0.14689901471138,
0.47230660915374756,
0.13353770971298218,
0.8581733703613281,
0.527168333530426,
-0.17862549424171448,
0.4628776013851166,
-0.34858715534210205,
0.03038688749074936,
-0.18380451202392578,
-0.4072002172470093,
... |
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