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 |
|---|---|---|---|---|---|---|
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 The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).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... | No | 4 | NIv2 | task1214_atomic_classification_xwant | fs_opt | [
0.5785104632377625,
0.16378575563430786,
0.10104522854089737,
0.013150996528565884,
-0.694482147693634,
-0.7984528541564941,
1.3456909656524658,
0.3913760781288147,
-0.6320183277130127,
-0.20068767666816711,
-0.18619570136070251,
-0.22803767025470734,
-0.8687371015548706,
0.368947058916091... |
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'.
One example is below.
Q: (A) trying to be a decent parent
(B) remaining Friendly with my racist cowork... | B | 9 | NIv2 | task106_scruples_ethical_judgment | fs_opt | [
-0.26585787534713745,
0.8283035755157471,
0.6415232419967651,
-0.05531935766339302,
-0.7619363069534302,
-0.28666001558303833,
0.08006606996059418,
0.28776562213897705,
0.020742708817124367,
0.6691362857818604,
-0.21875721216201782,
0.1453724503517151,
-0.2073737382888794,
-0.8936700820922... |
Instructions: In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number... | [143, 49, 27] | 3 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.2817276418209076,
0.7788432836532593,
-0.220854714512825,
-0.7627578377723694,
0.3307225704193115,
-0.15141193568706512,
0.8474668264389038,
0.3454199731349945,
-0.4408658742904663,
0.5208529233932495,
-0.9402907490730286,
0.295453816652298,
-0.22851714491844177,
-0.43110933899879456,
... |
In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
[Q]: This article's plot summary may be too long or excessively detailed. Please help improve it by removing unnecess... | Answer: Audrey
| 5 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.37771838903427124,
0.24785950779914856,
-0.6071866750717163,
-0.2307509332895279,
0.5959363579750061,
0.20729872584342957,
0.729508638381958,
0.8514065742492676,
-0.12004797160625458,
0.1128193587064743,
-0.4628032445907593,
0.2948107421398163,
-0.4920192062854767,
0.3270057141780853,
... |
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.
Example: what kind of film is Best Seller?
Example solution: crime
Example explanation: The answer is correct because crime genre movie is a... | Solution: Patrick Dewaere, Maurice Barrier, France Dougnac, Dorothée Jemma | 5 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
-0.2884674668312073,
0.41468560695648193,
-0.8614271879196167,
0.4254401922225952,
-0.2828150987625122,
0.9216984510421753,
0.4939177632331848,
0.19294172525405884,
0.2211182415485382,
-0.3118121922016144,
-0.4846932590007782,
-0.14682811498641968,
-0.7830829620361328,
-0.00378434406593441... |
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 ... | 1038X78935323146g3628lu17589247O
| 3 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
0.2136545181274414,
-0.17036569118499756,
-0.5011119842529297,
-0.1641143560409546,
-0.021425761282444,
-0.15573009848594666,
0.7666124701499939,
0.47199878096580505,
-0.6652464866638184,
0.01638014242053032,
-0.8270739316940308,
-0.18756932020187378,
-0.06822451204061508,
0.02025908976793... |
A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
Example input: କରାଯାଇଥିବା ଚୁକ୍ତି ଅନୁଯାୟୀ ପାରମ୍ପରିକ ଚିକିତ୍ସା ପଦ୍ଧତି କ୍ଷେତ୍ରରେ ଦୁଇ ଦେଶ ମଧ୍ୟରେ ଦ୍ୱିପାକ୍ଷୀକ ସହଯୋଗ ବୃଦ୍ଧି ହେବ । ଏହା ଦୁଇ ଦେଶ ମଧ୍ୟରେ ସାଂସ୍କୃତିକ ପ... | PETROTECH provides the perfect setting to ponder over the future of the energy sector. | 3 | NIv2 | task988_pib_translation_oriya_english | fs_opt | [
-0.05655897781252861,
1.4633671045303345,
0.11439888179302216,
0.031342096626758575,
0.19336587190628052,
-0.8403800129890442,
0.9374167323112488,
0.49775490164756775,
0.27343904972076416,
-0.19896158576011658,
-0.49885064363479614,
0.1639748215675354,
-0.37873414158821106,
0.2982591390609... |
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're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the numbe... | 4 | 0 | NIv2 | task198_mnli_domain_classification | fs_opt | [
-0.0640418529510498,
0.08541981875896454,
0.5170691609382629,
0.09301365911960602,
0.05993430316448212,
-0.38637614250183105,
0.128835529088974,
0.8779754042625427,
-0.19630461931228638,
-0.20721754431724548,
-0.558613657951355,
-0.5357897281646729,
0.00869748368859291,
-0.6492619514465332... |
Given the task definition and input, reply with output. In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
The mother of a teenager who wa... | Matthew Seddon death: Family want police compensation | 5 | NIv2 | task1358_xlsum_title_generation | zs_opt | [
-0.6115413308143616,
1.089162826538086,
0.19008032977581024,
-0.5368401408195496,
-0.7600063681602478,
-0.08955198526382446,
0.2777339220046997,
0.5230705738067627,
0.05669694393873215,
-0.15972289443016052,
-0.7550599575042725,
0.170199453830719,
-0.5093691349029541,
0.06313714385032654,
... |
Q: Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it.
Abstract: Several preclinical and clinical studies have documented that dose or dose intensity of chemotherapeutic agents are importan... | Antineoplastic Agents | 7 | NIv2 | task620_ohsumed_medical_subject_headings_answer_generation | zs_opt | [
0.38979172706604004,
0.4954219162464142,
-0.6345154047012329,
-0.3365189731121063,
0.012207661755383015,
-0.354833722114563,
0.8787856101989746,
0.8917933702468872,
0.2928047478199005,
0.09999342262744904,
-0.39697176218032837,
-0.10020320117473602,
-0.8345874547958374,
0.15823820233345032... |
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
[EX Q]: Context: Common cellular and molecular mechanisms including protein aggregation and inclusion body formation are involved in man... | sonya sones
| 6 | NIv2 | task469_mrqa_answer_generation | fs_opt | [
-0.011456670239567757,
0.2804375886917114,
0.18572452664375305,
0.3295813500881195,
0.2553238868713379,
-0.3362715542316437,
-0.131729394197464,
0.5345211625099182,
0.6397128701210022,
0.19463782012462616,
0.1179124042391777,
0.8281450867652893,
-0.9681912660598755,
0.03293300420045853,
... |
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
On... | Original | 6 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.24740801751613617,
0.7611122727394104,
0.2310969978570938,
0.07792715728282928,
-0.031496986746788025,
-0.07899616658687592,
0.9090033769607544,
0.009228761307895184,
0.6059679985046387,
-0.7454296350479126,
-0.3958052396774292,
-0.29109835624694824,
-0.7544746398925781,
0.0096157304942... |
Definition: Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Input: The official waves a score flag.
Output: | Someone knocks the boy to his knees. | 2 | NIv2 | task455_swag_context_generation | zs_opt | [
-0.045117974281311035,
0.7343072891235352,
-0.7225874662399292,
-0.13283565640449524,
0.14835596084594727,
-0.7310640811920166,
-0.4999392628669739,
0.20239220559597015,
0.3847391605377197,
-0.19450238347053528,
-0.20544880628585815,
0.34599030017852783,
-0.35974937677383423,
0.68475091457... |
Instructions: In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? ... | True | 3 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
1.0419504642486572,
-0.31450679898262024,
-0.15506431460380554,
-0.5934770107269287,
-0.003276136703789234,
-0.23314109444618225,
0.49764585494995117,
0.9532941579818726,
-0.2608450651168823,
0.3349197506904602,
0.16520148515701294,
-0.2190416157245636,
0.014709933660924435,
-0.01294677238... |
Given the task definition, example input & output, solve the new input case.
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Example: Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it'
Output: The ... | Sunnyvale is a city located in Santa Clara County , California . | 1 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
-0.21479745209217072,
1.1205956935882568,
0.33965393900871277,
0.0013295081444084644,
0.43212074041366577,
0.07317890226840973,
0.06191699206829071,
0.8632527589797974,
0.06938706338405609,
-0.39775383472442627,
0.16381336748600006,
0.3469417691230774,
-0.700179934501648,
-0.22631956636905... |
Detailed Instructions: 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... | Identity-attack | 8 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.45141690969467163,
0.4606063663959503,
0.6203612685203552,
0.16255545616149902,
-0.37113597989082336,
-0.16959846019744873,
0.9655471444129944,
0.40290945768356323,
0.6479562520980835,
0.1704825758934021,
0.10106129944324493,
-0.12256965786218643,
-0.503263533115387,
-0.556002140045166,... |
Teacher:Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Teacher: Now, understand the problem? Solve this instance: Which African country is sandwiched between Ghana and Benin?
Student: | benin | 6 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.23996767401695251,
-0.172456294298172,
0.4959077835083008,
-0.6398531198501587,
-0.4448005259037018,
-0.7024081945419312,
0.046790190041065216,
0.6954038143157959,
-0.21282576024532318,
0.4061265289783478,
-0.9642273187637329,
-0.021328575909137726,
-1.1655296087265015,
-0.00783749483525... |
Detailed Instructions: In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original... | Original | 9 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-1.1347795724868774,
1.1562557220458984,
0.17082218825817108,
-0.5432793498039246,
-0.5747832655906677,
-0.8494665622711182,
0.3482409715652466,
0.5281447172164917,
0.2558494806289673,
-0.6032154560089111,
-0.23150154948234558,
-0.5312503576278687,
-0.4341253638267517,
0.033491846174001694... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one tha... | b
| 3 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.0741925984621048,
-0.44644129276275635,
-0.02536824718117714,
0.03432322293519974,
0.21130049228668213,
-0.4470951557159424,
0.2945335805416107,
1.1203972101211548,
-0.2804124355316162,
0.21790477633476257,
-0.5089402198791504,
0.2900354266166687,
-0.19272109866142273,
-0.328870177268981... |
You are given a statement written in Telugu. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Example Input: Statement: ఇది మండల కేంద్రమైన గొల్లపల్లి నుండి 9 కి. మీ. దూరం లోను, సమీప పట్టణమైన <MASK> నుండి 23 క... | 1832
| 3 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | fs_opt | [
0.5901612043380737,
0.9756160974502563,
0.10944665968418121,
-0.2702644467353821,
-0.018401697278022766,
-1.4572157859802246,
0.40755128860473633,
1.0641443729400635,
-0.2952733635902405,
-0.2528693675994873,
-0.3499874472618103,
0.4964904189109802,
-0.8855894804000854,
-0.3870517611503601... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Q: CA: Cinco años atrás tuviste una idea, ¿Cúal era?
A: | CA: Cinque anni fa hai avuto un'idea. Ce ne vuoi parlare? | 4 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.017093827947974205,
0.5810781717300415,
-0.31383928656578064,
0.8626391291618347,
-0.18579179048538208,
-0.9313618540763855,
-0.1851343810558319,
2.247647285461426,
0.05615224689245224,
0.056132227182388306,
-0.2748917043209076,
-0.48937827348709106,
-0.49919506907463074,
0.435971617698... |
In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' category. The sent... | Yes
| 3 | NIv2 | task1517_limit_classfication | fs_opt | [
-0.34548336267471313,
0.3012675642967224,
0.1937662959098816,
0.994671106338501,
-0.31773900985717773,
-0.3053983449935913,
0.08393050730228424,
1.1594840288162231,
0.46689707040786743,
-0.12550681829452515,
-0.5294976234436035,
-0.31392720341682434,
-0.15377332270145416,
-0.09050163626670... |
Teacher: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.
Teacher: Now, understand the problem? Sol... | Non-threat | 6 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.22643062472343445,
0.4031701683998108,
0.7331869602203369,
0.15388134121894836,
0.03366893529891968,
-0.1825515180826187,
1.6664764881134033,
0.4201734662055969,
0.5724215507507324,
0.5983675718307495,
0.1897614598274231,
0.11011292040348053,
-0.8350971937179565,
-0.6917470693588257,
... |
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
[EX Q]: Sentence 1: Proteins travel to... | neutral
| 6 | NIv2 | task1554_scitail_classification | fs_opt | [
-0.31986004114151,
0.2775976061820984,
-0.4240359365940094,
0.37121903896331787,
-0.045249663293361664,
-0.8327800035476685,
-0.16525456309318542,
1.1045105457305908,
0.41761329770088196,
0.2312583029270172,
-0.5152456760406494,
0.02551458217203617,
-0.2124849557876587,
-0.0120378192514181... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Q: E o esgotamento das nais que colleran dous, tres ou catro autobuses para traer ao seu fillo ao médico podíase tocar
A: | And the exhaustion of mothers who had taken two, three, sometimes four buses to bring their child to the doctor was just palpable. | 9 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
0.1119454950094223,
0.34636378288269043,
-0.6536973714828491,
-0.20773878693580627,
-0.16584184765815735,
-1.0842663049697876,
0.6330586671829224,
0.7531850337982178,
-0.18875442445278168,
0.13443434238433838,
-0.2688300609588623,
0.7807703018188477,
0.08059084415435791,
0.2196469008922577... |
instruction:
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
question:
It's something so old-fashioned, but if you don't respect your own word of honor and you leave before — that's not my problem.
answer:
Es algo tan pasado de moda, pero si uno no respeta su propia pala... | Hemos cambiado la temperatura en el siglo pasado la cantidad justa.
| 9 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
0.2823502719402313,
1.1486237049102783,
-0.11085070669651031,
-0.19213178753852844,
-0.4672476053237915,
-1.391016960144043,
0.22321543097496033,
0.24855998158454895,
0.12286669760942459,
-0.6683903932571411,
-0.10130495578050613,
0.5876126885414124,
-0.9227317571640015,
0.2952489554882049... |
Detailed Instructions: In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Problem:Any attempt to replace the national logos would end... | English | 8 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
-0.15029528737068176,
0.5854917168617249,
0.6879818439483643,
-0.42282453179359436,
-0.13109824061393738,
-0.730176568031311,
0.2247592806816101,
0.9257503151893616,
-0.13306854665279388,
-0.5201046466827393,
0.045282989740371704,
0.06962980329990387,
0.016826041042804718,
-0.5781288743019... |
Definition: Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences are roughly e... | 0 | 2 | NIv2 | task1347_glue_sts-b_similarity_classification | zs_opt | [
-0.48817726969718933,
-0.15456634759902954,
-0.25782856345176697,
0.2624897062778473,
0.3712005913257599,
-0.5657026767730713,
0.6248078346252441,
0.8696780800819397,
0.3134199380874634,
0.46660399436950684,
-1.299375295639038,
-0.3402685225009918,
-0.5454045534133911,
0.28008031845092773,... |
In this task, you are given a food review in Persian, and you have to extract aspects of the food mentioned in the text. We define aspects as taste/smell(طعم), nutritional value(ارزش غذایی), product quality(کیفیت), delivery(ارسال), packaging(بسته بندی) and purchase value/price(ارزش خرید). Although there might be multip... | طعم
****
| 4 | NIv2 | task529_parsinlu_food_aspect_detection | fs_opt | [
-0.8635514974594116,
0.27022427320480347,
-0.10730260610580444,
-0.430031955242157,
-0.46804335713386536,
0.8050926923751831,
0.8344412446022034,
0.8575077652931213,
-0.288068562746048,
0.24179156124591827,
0.08973541110754013,
0.13164930045604706,
-0.571007490158081,
0.429627001285553,
... |
Given the task definition and input, reply with output. You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
As a house band, Metalhead puts up a great show... The upstairs patio is surprisingly comfortable. The only truly rough thing about this place- good luc... | 3 stars | 5 | NIv2 | task1292_yelp_review_full_text_categorization | zs_opt | [
0.2755850553512573,
0.7436913847923279,
-0.7487919926643372,
0.036543767899274826,
0.3886382579803467,
-0.49521756172180176,
0.34341877698898315,
0.671350359916687,
-0.12131059169769287,
0.28531837463378906,
-0.599111795425415,
-0.12133067101240158,
-0.48145556449890137,
0.2924240231513977... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Input: בזמן שעשיתי את המשרדים של בלומברג העבודה שלי התחילה להיות מקובלת
Output: | Da quando poi ho fatto il quartier generale di Bloomberg il mio lavoro ha iniziato ad essere accettato. | 2 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
-0.6008751392364502,
0.7158583402633667,
-0.42619168758392334,
0.10654375702142715,
-0.5368666052818298,
-0.1099579781293869,
0.04369279369711876,
0.327658474445343,
1.263258457183838,
-0.7410348653793335,
-0.3017006516456604,
0.1516515016555786,
0.23653806746006012,
0.41904300451278687,
... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
See one example below:
Problem: 処方箋を支払う為の保険は ？
Solution: Terán seguro para pagar a receita?
Explanation: The Japanese sentence is correctly translated into Galician, because the meaning is preserve... | E hai indicios que indican que si. | 4 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.26389944553375244,
0.45846235752105713,
0.3201218545436859,
-0.6076081991195679,
-0.07287877798080444,
-1.7117059230804443,
0.9719401597976685,
0.37908005714416504,
0.07295931130647659,
-0.3220307528972626,
-0.6529074907302856,
0.45059478282928467,
-1.0009934902191162,
0.648085117340087... |
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 will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-ini... | None | 0 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | fs_opt | [
-0.0882369726896286,
0.18376901745796204,
-0.2929428815841675,
0.20214444398880005,
-0.07148246467113495,
0.2795099914073944,
0.9755945205688477,
-0.002114875242114067,
0.7792872190475464,
-0.5075087547302246,
-0.285638689994812,
0.7155169248580933,
-0.27356427907943726,
0.5977907180786133... |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset o... | PRON | 9 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.34966450929641724,
0.1452426016330719,
-0.18910925090312958,
0.11253240704536438,
-0.15264958143234253,
-0.7908228635787964,
0.7718380689620972,
0.631380558013916,
-0.25829070806503296,
-0.11352573335170746,
-0.7025712728500366,
0.1619340479373932,
-0.528464674949646,
0.31801560521125793... |
In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Example input: Effektiv und mit viel Spaß lernen . Ich habe mir dieses Buch zu Weihnachten... | NEG | 3 | NIv2 | task479_cls_german_books_classification | fs_opt | [
-0.2205485701560974,
0.19384151697158813,
0.09898610413074493,
-0.7037025094032288,
0.7888343930244446,
0.12088608741760254,
1.415464162826538,
0.9625534415245056,
0.2826385200023651,
0.21678751707077026,
-0.11051154136657715,
-0.21806851029396057,
-0.6494143009185791,
-0.29506850242614746... |
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_WALK I_TURN_RIGHT I_LOOK | 8 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.21998342871665955,
0.8058760762214661,
-0.3578331172466278,
-0.08337020874023438,
0.1472119241952896,
-0.1644599437713623,
0.288241446018219,
0.06356517970561981,
-0.17584776878356934,
-0.2992134094238281,
-0.7779104709625244,
-0.2875426411628723,
-0.8563697338104248,
-0.1714504659175872... |
Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | 建筑商可以建房子
| 1 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
-0.5579978227615356,
0.05838247388601303,
-0.38681137561798096,
0.21934878826141357,
-0.38948124647140503,
-0.2541126608848572,
-0.24936853349208832,
0.8805640339851379,
-0.2679215371608734,
-0.17954029142856598,
-0.7560088038444519,
-0.0857156366109848,
-0.019702427089214325,
0.2176390886... |
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 | task1200_atomic_classification_xeffect | zs_opt | [
-0.03610087186098099,
0.11573377251625061,
0.3303104043006897,
-0.5251883268356323,
-0.4552578330039978,
-0.8835048675537109,
1.567662239074707,
0.5172543525695801,
-0.5190438032150269,
-0.4442168176174164,
-0.23192644119262695,
-0.6493109464645386,
-0.6415446996688843,
0.39777445793151855... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | No | 6 | NIv2 | task357_casino_classification_negotiation_small_talk | fs_opt | [
-0.5263800621032715,
0.7257158756256104,
-0.5265411138534546,
-0.16138052940368652,
-0.2974642813205719,
-0.19650395214557648,
0.495763897895813,
0.8112725615501404,
-0.14052730798721313,
0.18751145899295807,
0.0011901271063834429,
-0.04750318080186844,
-0.7952119708061218,
-0.059703093022... |
Given the task definition and input, reply with output. In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjuncti... | NNP | 5 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
0.3709407150745392,
0.5226325988769531,
-0.19813574850559235,
0.4443083107471466,
-0.10638338327407837,
-1.3304718732833862,
0.8382977247238159,
0.6153562068939209,
-0.3851677477359772,
-0.10783521085977554,
-0.2940804064273834,
0.15839147567749023,
-0.0007104356773197651,
0.17338413000106... |
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
One example: Baloney. You are going to see real action against Herr Trump and his white supremacist agenda.
Solution is here: Yes
Explanation: The comment suggests threat against Trump and his agendas and clas... | Yes | 6 | NIv2 | task1722_civil_comments_threat_classification | fs_opt | [
0.49246272444725037,
0.25430455803871155,
-0.49399200081825256,
0.23008890450000763,
-0.025324445217847824,
-0.617939293384552,
0.7125017046928406,
1.0952726602554321,
-0.11151090264320374,
-0.1711835116147995,
0.036561157554388046,
0.641616940498352,
-0.6327813863754272,
-0.09044298529624... |
Instructions: Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', ... | people | 3 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
-0.3023328483104706,
0.20935730636119843,
-0.515291690826416,
0.08037234842777252,
0.02450183592736721,
0.22041593492031097,
0.3527317941188812,
0.6322000622749329,
0.14395028352737427,
0.5775513052940369,
0.1737239956855774,
-0.13003914058208466,
-0.27166295051574707,
-0.45175591111183167... |
Teacher:Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Teacher: Now, understand the problem? Solve this instance: Verify if the sentiment of the following d... | yes | 6 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
0.12941506505012512,
-0.44288405776023865,
0.5879676342010498,
0.01608860120177269,
1.0210379362106323,
-0.37291550636291504,
0.692689061164856,
1.1815812587738037,
-0.10701466351747513,
-0.038537755608558655,
0.5259813666343689,
1.1590073108673096,
-0.44614720344543457,
0.2816143631935119... |
In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
Let me give you an example: [73... | [-29, -97] | 8 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.22451630234718323,
0.8593873977661133,
-0.008872331120073795,
-0.5317525863647461,
-0.19265159964561462,
-0.7694073915481567,
0.887069582939148,
0.5517639517784119,
0.1591205596923828,
0.020907461643218994,
-0.27305570244789124,
0.2178366482257843,
-0.1631404012441635,
-0.04582189023494... |
In this task, we ask you to write an implausible answer to a question that involves "transient v. stationary" events, i.e., the understanding of whether an event will change over time or not. For example, the sentence "he was born in the U.S." contains a stationary event since it will last forever; however, "he is hung... | yes they do this every minute for fun. | 6 | NIv2 | task008_mctaco_wrong_answer_generation_transient_stationary | fs_opt | [
0.0444645956158638,
0.3065584897994995,
-0.4740462601184845,
0.4222067594528198,
-0.46464669704437256,
-0.7134088277816772,
0.8791227340698242,
0.9874683618545532,
-0.13852830231189728,
0.09547357261180878,
-0.8717504143714905,
0.2913198173046112,
-0.6150426864624023,
0.1154252141714096,
... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
See one example below:
Problem: Agora, está ao lado, ou na miña casa.
Solution: Now, it's next door, or in my house.
Explanation: The Galician sentence is correctly translated into English. `casa` i... | SB: Thank you very much. FC: Well done. Well done, buddy. | 4 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-0.2650226652622223,
1.117923378944397,
-0.24442556500434875,
-0.6433340311050415,
0.179100900888443,
-1.2813379764556885,
0.7477261424064636,
0.5357928276062012,
-0.020357728004455566,
0.13550741970539093,
-0.5243555307388306,
0.8172105550765991,
-0.9539804458618164,
0.027212873101234436,... |
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.
One example: PersonX sees ___ in the wild
Solution is here: tiger
Explanation: This i... | pepperoni pizza | 6 | NIv2 | task1217_atomic_answer_generation | fs_opt | [
-0.6586329936981201,
1.0500948429107666,
-0.27834147214889526,
-0.44348037242889404,
-0.5115131735801697,
-0.0691419169306755,
0.8102614879608154,
0.7932599782943726,
-0.458337664604187,
-0.7838292121887207,
-0.46456000208854675,
-0.9293608665466309,
-0.6571495532989502,
-0.267849266529083... |
Q: In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
['h', '149', '81', 'd', '141', 't', 'k', 'h', '245', 'd', '203', 'p', 't', 's']
A: | 0, 1, 2, 3, 4, 5, 8, 9 | 7 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | zs_opt | [
-0.3783618211746216,
-0.0594203919172287,
-0.4173690676689148,
-0.333065003156662,
-0.2671026587486267,
0.11244145780801773,
1.1104767322540283,
-0.25594228506088257,
-0.42796942591667175,
0.345321923494339,
-0.8385552167892456,
-0.07048419117927551,
-0.19374123215675354,
0.287802934646606... |
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 will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n',... | [128, 1024, 2048, 2048, 16] | 0 | NIv2 | task1444_round_power_of_two | fs_opt | [
0.09495165199041367,
0.5901356935501099,
-0.3933963179588318,
0.09166620671749115,
0.07399354875087738,
-0.10595692694187164,
0.5960603356361389,
0.5418261289596558,
-0.2108992338180542,
0.18685325980186462,
-0.4110998511314392,
0.15321926772594452,
-0.05147714912891388,
-0.155682310461997... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
One example is below.
Q: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
A: 931, 7, 3432, 13245, 762
Rationa... | C | 9 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
-0.26887112855911255,
0.5169227123260498,
-0.3422960042953491,
-0.5487285852432251,
-0.30213847756385803,
-0.03436923772096634,
0.6804741024971008,
-0.03394777327775955,
-0.5048818588256836,
-0.6077375411987305,
-0.7845108509063721,
-0.022903108969330788,
0.10645894706249237,
-0.2867324948... |
Definition: In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If ... | agent: May I know your preferred timings? | 2 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
0.021442972123622894,
-0.10279785096645355,
-0.09714893996715546,
-0.7220127582550049,
0.31565988063812256,
-0.13867688179016113,
0.9183657169342041,
-0.2605821490287781,
0.04155194014310837,
0.1824275553226471,
-0.35488277673721313,
0.08108877390623093,
-0.5711147785186768,
0.331052720546... |
instruction:
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
question:
כל יום קלטנו טרה-בתים של נתונים.
answer:
We take in terabytes of data a day.
question:
הוא צעד כל הזמן הלוך ושוב.
answer:
He kept pacing back and forth.
question:
יש לי סרטן.
answer:
| I have cancer.
| 9 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.5453726649284363,
0.4941733479499817,
-0.32992374897003174,
0.49360334873199463,
-0.32961422204971313,
-0.5304476022720337,
0.8517180681228638,
0.07088664174079895,
0.1550360918045044,
-0.3545231521129608,
-0.17376966774463654,
0.42381033301353455,
-0.4650445580482483,
0.311914026737213... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
passage: Miles Dominic Heizer (born May 16, 1994) is an American actor and musician. He stars in the Netflix original series 13 Reasons Why as Alex Standall. His m... | Yes | 0 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
-0.0730040967464447,
-0.5235229134559631,
0.3774058222770691,
-0.17358148097991943,
-0.14372584223747253,
0.19209042191505432,
0.6133278608322144,
0.5951145887374878,
-0.045580871403217316,
0.26749080419540405,
-0.09531600773334503,
0.40175557136535645,
-0.9797981977462769,
0.0547068975865... |
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 _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia... | REFERENCE joke
| 0 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
-0.0016400753520429134,
0.5353119969367981,
-0.6530402898788452,
0.11964336037635803,
-0.08203341066837311,
-0.6826533079147339,
0.8412901759147644,
0.51185142993927,
-0.07732808589935303,
-0.020516853779554367,
-0.5655182600021362,
0.5982062816619873,
-0.18016375601291656,
0.3171121478080... |
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the inde... | (9, 10) | 4 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.48949989676475525,
0.6497753262519836,
-0.4482879638671875,
-0.499069482088089,
0.5332292318344116,
-0.3493553400039673,
0.2607336640357971,
0.8030837178230286,
0.39318105578422546,
0.1715293526649475,
-0.10753481090068817,
0.2764940857887268,
-0.4129505753517151,
-0.26700711250305176,
... |
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 large cube
#2 return #1 that is in the very back
#3 return material of #2
| 6 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.6959354877471924,
-0.17495864629745483,
-0.7407643795013428,
0.3753550052642822,
-0.14937272667884827,
-0.02117285132408142,
0.9134215116500854,
0.6258578896522522,
-0.27537184953689575,
0.6030115485191345,
-0.7509297728538513,
0.17145630717277527,
0.24262592196464539,
0.1999242305755615... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Malgrado ciò, il libro viene anche letto in paesi agricoli e in via di sviluppo.
| Y sin embargo, está siendo leído el libro, como bien dices, en países en desarrollo rurales. | 5 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.6441760063171387,
0.8583975434303284,
0.1269698143005371,
-0.6580672264099121,
0.18636977672576904,
-0.14802010357379913,
0.4359090030193329,
0.8389691710472107,
-0.3516806960105896,
-0.6563739776611328,
-0.9931886196136475,
0.003348712343722582,
-0.9267503023147583,
-0.1255305856466293... |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closes... | Sci/Tech | 6 | NIv2 | task379_agnews_topic_classification | fs_opt | [
-0.783238410949707,
0.1687343567609787,
-0.03212912380695343,
0.6542051434516907,
0.46661922335624695,
-0.002295328304171562,
-0.3696982264518738,
0.8281821608543396,
0.0929982140660286,
-0.04838799685239792,
-0.33247804641723633,
0.34066081047058105,
-0.33035212755203247,
-0.3283115625381... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Pomyślałem: "" To rewelacyjne! Ciekawe, czemu tak jest? "" Oczywiście musiałem pojechać do Afryki, zapytać, czemu. | Y pensé: "" ¡Esto es fabuloso! Me pregunto: ¿por qué? "" Y por supuesto tuve que ir a África y preguntarle a la gente por qué. | 0 | NIv2 | task1258_ted_translation_pl_es | zs_opt | [
-0.6680538058280945,
1.0238312482833862,
0.025775426998734474,
-0.38014569878578186,
-0.4446917772293091,
-0.4007604718208313,
-0.00859873741865158,
-0.512874186038971,
0.5276734232902527,
-0.4701595902442932,
-0.4508833885192871,
0.014177640900015831,
-1.0609910488128662,
-0.2261453568935... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
If a season switches from one to another in a place, the earth has (A) exploded (B) sta... | C | 1 | NIv2 | task1286_openbookqa_question_answering | zs_opt | [
0.18126341700553894,
0.5216595530509949,
-0.46930429339408875,
0.2402341067790985,
-0.261843204498291,
-0.4874250292778015,
0.5770687460899353,
0.7178478240966797,
0.018304817378520966,
-0.2510111331939697,
-0.38343459367752075,
-0.619380533695221,
-0.07158351689577103,
-0.1432407796382904... |
In this task, you need to count the occurrences of the given word in the given sentence.
--------
Question: Sentence: 'a group of cows standing next to each other'. Count the occurrences of the word 'a' in the given sentence.
Answer: 1
Question: Sentence: 'woman wearing all black holding up a white surfboard'. Count... | 2
| 7 | NIv2 | task158_count_frequency_of_words | fs_opt | [
0.7148053050041199,
0.336280882358551,
-0.9804575443267822,
-0.10185771435499191,
-0.40284305810928345,
0.013910382054746151,
-0.40987107157707214,
1.083478569984436,
-0.33469706773757935,
0.2834341526031494,
-0.5563146471977234,
0.0723494440317154,
0.46980321407318115,
-0.0641767457127571... |
You will be given a definition of a task first, then some input of the task.
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^... | (Pljesak) Počnite normalno, idite u suprotnom smjeru oko petlje. | 1 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.38331225514411926,
0.9081324338912964,
-0.3126641511917114,
0.3183349072933197,
0.1814776062965393,
-0.6250982284545898,
0.4573121666908264,
-0.03852567449212074,
0.03476303070783615,
-0.35435518622398376,
-0.05079295486211777,
0.038898251950740814,
-0.299857497215271,
0.165423214435577... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Input: (צחוק) חתכנו תנור מקצועי השווה 5000 דולר לשניים.
Output: | (Laughter) We cut a $5,000 restaurant oven in half. | 2 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.7488405704498291,
0.07321052253246307,
0.1114489957690239,
0.47395360469818115,
-0.18696844577789307,
0.6787631511688232,
-0.03601158410310745,
0.20218157768249512,
0.7967550754547119,
0.18936550617218018,
-0.5026693344116211,
0.42214348912239075,
-0.8168820738792419,
0.2613869309425354... |
You will be given a definition of a task first, then some input of the task.
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.
Sentence1: Neil had tried to s... | They said they did not believe in the monster at all! | 1 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.5905462503433228,
1.431467890739441,
0.5789239406585693,
-0.9513501524925232,
0.04583404213190079,
-0.3047138750553131,
0.4324988126754761,
-0.3343498706817627,
-0.03617935627698898,
-0.22633202373981476,
-0.09402067959308624,
-0.05269909277558327,
-0.2511681318283081,
-0.11683621257543... |
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presen... | [126, 144, 128, 273, 86, 51]
| 1 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.8933340311050415,
0.18439990282058716,
-0.42011526226997375,
-0.10488256812095642,
-0.08610820025205612,
0.12668555974960327,
0.9314169883728027,
0.17550012469291687,
-0.572455883026123,
0.25162339210510254,
-0.9836947321891785,
0.2474973350763321,
-0.38505423069000244,
-0.3777904808521... |
Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
Q: cheat... | cheat Synonym deceive | 4 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
0.16226798295974731,
1.259986400604248,
0.2852343022823334,
-0.78114253282547,
-0.4385477602481842,
-0.6903913021087646,
0.6832758188247681,
0.21491211652755737,
-0.03320919722318649,
-0.9458444714546204,
-0.8661234974861145,
0.18314649164676666,
-0.9298022985458374,
0.14375999569892883,
... |
You will be given a definition of a task first, then some input of the task.
You are given a paper review either in Spanish or English language. Based on the given review, evaluate the paper by classifying it to one of the five classes: (1) very negative, (2) negative, (3) neutral, (4) positive, and (5) very positive. ... | very positive | 1 | NIv2 | task266_paper_reviews_reviewer_perspective_classification | zs_opt | [
-1.1327317953109741,
-0.059302426874637604,
0.7471720576286316,
0.2756047248840332,
0.5442519187927246,
-0.14519652724266052,
0.6885057687759399,
1.0926878452301025,
0.3882049322128296,
0.2286849319934845,
-0.4040621519088745,
0.10232703387737274,
0.3511076867580414,
-0.31042641401290894,
... |
In this task, we ask you to write an answer to a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Note that a lot of the questions... | when someone steps down or gets fired. | 4 | NIv2 | task016_mctaco_answer_generation_frequency | zs_opt | [
-0.19725379347801208,
0.06991079449653625,
-0.5233170986175537,
0.17730960249900818,
-0.2966197729110718,
-0.5271116495132446,
0.2441612184047699,
0.04032401368021965,
-0.3748323619365692,
0.11486750841140747,
0.006135096773505211,
0.07720911502838135,
-0.16737700998783112,
0.6338681578636... |
In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. You are expected to cla... | Stereotype
| 7 | NIv2 | task316_crows-pairs_classification_stereotype | fs_opt | [
-0.11472074687480927,
0.023324405774474144,
-0.28120601177215576,
0.16036681830883026,
0.0412851944565773,
0.017127662897109985,
0.6409286260604858,
1.1879633665084839,
0.40736639499664307,
-0.19590744376182556,
-1.1349852085113525,
-0.14186817407608032,
-0.625505805015564,
-0.501146912574... |
TASK DEFINITION: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this c... | .
| 8 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.14855270087718964,
0.25509291887283325,
-0.048903681337833405,
0.131264328956604,
-0.03826163709163666,
-0.4841810166835785,
0.8612443804740906,
0.8035250306129456,
-0.3400779664516449,
-0.32160043716430664,
-0.03967498987913132,
0.4211753308773041,
-0.3957964777946472,
0.014366004616022... |
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".
Ex Input:
I ordered this for my wife as it was reccomended by our daughter. She has this almost every morning and likes all flavors. She's happ... | False
| 1 | NIv2 | task590_amazonfood_summary_correction_classification | fs_opt | [
-0.20861417055130005,
0.3494020700454712,
-0.5119553804397583,
-0.3125745952129364,
0.11985045671463013,
-0.23614144325256348,
0.44989970326423645,
1.091902732849121,
-0.06069106236100197,
-0.2650054693222046,
0.05130627006292343,
-0.20133987069129944,
-0.9396229386329651,
-0.1834628731012... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposi... | WRB JJ NNS VBD DT NN NN WP VBD VBN CD NNP CD IN NNP . | 0 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
-0.05882775038480759,
0.47683995962142944,
-0.5211142301559448,
0.3214985728263855,
-0.40652379393577576,
-0.6148639917373657,
0.8711245059967041,
0.19444501399993896,
-0.08487612754106522,
-0.5011968016624451,
-0.40907537937164307,
0.46690911054611206,
-0.587550163269043,
-0.0849628448486... |
You are given a statement written in Marathi. 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: १९१३ नंतर मात्र दिवाकरांचे नाट्यछटांचे लेखन मागे पडले. 'शोकान्त' हा नाट्याचा नवीन प्रकार दिवाकरा... | फ्रान्स
| 5 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
0.2766179144382477,
0.5129640102386475,
0.23723171651363373,
0.5795326232910156,
-0.040567122399806976,
-0.418571412563324,
0.6205328702926636,
0.7179673910140991,
-0.11774779111146927,
0.20022007822990417,
0.0322672575712204,
0.3861488401889801,
-0.1721491813659668,
-0.6573053002357483,
... |
Definition: You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Input: System Reference: may i ask near where?
Original Reference: is there a location you would like th... | 0 | 2 | NIv2 | task1283_hrngo_quality_classification | zs_opt | [
-0.6088652610778809,
1.1473190784454346,
-0.7083117961883545,
-0.16558828949928284,
-0.49572134017944336,
-0.927588939666748,
1.127502202987671,
0.07357054948806763,
0.18009278178215027,
-0.35789573192596436,
-1.0489530563354492,
0.020574556663632393,
-0.711575984954834,
-0.242847248911857... |
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
[EX Q]: But it is set in a world that is very , very far from the one most of us inhabit .
[EX A]: POS
[EX Q]: Thi... | NEG
| 6 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-0.3662860095500946,
0.3624936640262604,
0.07999587804079056,
0.26640841364860535,
-0.2650107443332672,
-1.1358758211135864,
0.46238973736763,
0.8919901847839355,
0.2968502640724182,
0.3230994641780853,
-1.0903871059417725,
-0.5908164381980896,
0.17246189713478088,
-0.15290147066116333,
... |
Detailed Instructions: In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the out... | B | 4 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
0.2894585430622101,
0.3159129321575165,
-0.060194458812475204,
0.27462583780288696,
0.12518611550331116,
-0.5345537662506104,
0.8741561770439148,
0.6576769948005676,
-0.2690427303314209,
0.6583743095397949,
-0.3596910834312439,
0.306502103805542,
0.30485624074935913,
-0.2637179493904114,
... |
Instructions: This task is to translate a news commentary given in French language into Russian 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.
Input: Il est désormais absolument évident que ... | На сегодняшний день совершенно очевидно, что мер строгой экономии и внутренних реформ недостаточно, чтобы вытащить периферию еврозоны из глубокого экономического спада. | 3 | NIv2 | task1377_newscomm_translation | zs_opt | [
-0.32725027203559875,
0.5694264769554138,
-0.20907634496688843,
0.14158248901367188,
0.2632441520690918,
0.6310145854949951,
0.49231278896331787,
0.8038281202316284,
0.5738085508346558,
0.042550548911094666,
-0.4107406735420227,
-0.2112317979335785,
-0.11495894938707352,
0.268474817276001,... |
Detailed Instructions: In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an ev... | [183, 45, 105] | 9 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.4256601333618164,
0.5422858595848083,
-0.3322519361972809,
-1.2846949100494385,
-0.016716519370675087,
-0.6269143223762512,
0.8843560218811035,
0.35668328404426575,
-0.9287492036819458,
0.6871994137763977,
-0.5897857546806335,
0.18040648102760315,
-0.19298511743545532,
-0.31924259662628... |
This task is to translate the Telugu Language Input to English Language Output
Input: Consider Input: ఫైబర్ నెట్లో కొత్త సినిమాల విడుదల
Output: Kadapa webseries trailer
Input: Consider Input: మీరు ప్రశ్నలు తేనే ఉంటే, మేము మీకు సహాయం ఇక్కడ ఉన్నారు.
Output: If you have questions Tene, we are here to help you.
In... | Output: What's wrong with you ? why this username ???
| 2 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt | [
-0.05359677970409393,
0.2165749967098236,
0.07925622165203094,
0.31161004304885864,
-0.2164105474948883,
-0.3396836519241333,
0.6339213252067566,
0.6072626113891602,
-0.33905449509620667,
0.24150720238685608,
0.5175281167030334,
-0.4279976487159729,
-0.5333913564682007,
-0.7795900702476501... |
TASK DEFINITION: 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,... | Purée 2 cups cubed seedy watermelon, 3 tablespoons sherry vinegar, 1/3 cup each olive oil and vegetable oil, 1/2 teaspoon kosher salt, and pepper to taste in a blender. Add 1/2 cup torn mint; pulse to combine.
| 8 | NIv2 | task081_piqa_wrong_answer_generation | fs_opt | [
0.45575761795043945,
0.497014582157135,
-0.7526963949203491,
0.630401074886322,
-0.14303293824195862,
-0.46688684821128845,
0.6681095361709595,
0.9563139081001282,
-0.2698999047279358,
-0.20748001337051392,
0.6034350991249084,
0.338517963886261,
-0.6095994710922241,
0.4947439432144165,
0... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
--------
Question: I was hungry and I put the pork chop on the pan because the _ was warm. (A) pork chop (B) pan
Answer: B
Question: The Smiths were mo... | B
| 7 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.2655665874481201,
0.06284350901842117,
0.2704571485519409,
0.1118951067328453,
-0.2778123617172241,
-0.6706072688102722,
0.5154507160186768,
0.8234140872955322,
0.1567639857530594,
0.01647060364484787,
0.055416449904441833,
0.17753015458583832,
-0.05576060712337494,
-0.6053334474563599,
... |
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: may i ask near where?
Original Referenc... | 0 | 2 | NIv2 | task1284_hrngo_informativeness_classification | zs_opt | [
-0.6459187269210815,
0.9057210683822632,
-0.733980655670166,
-0.00569562055170536,
-0.6235120892524719,
-1.4712291955947876,
1.0868959426879883,
0.01201989222317934,
0.2748064398765564,
-0.25649207830429077,
-1.0970245599746704,
-0.3514825105667114,
-0.4686468839645386,
0.10751861333847046... |
Detailed Instructions: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Q: share tweet pin email
Body-positive blogger Megan Jayne Crabbe, who goes by Bodyposipanda on social media, isn't letting critics get in the way of her confidence.
... | Megan Jayne Crabbe says she was just 5 years old when she first began to hate her body. She thought her classmates were prettier and thinner, and gradually began to believe that if she were also thin, she could be pretty, too, reports the Independent. By 10, she was dieting; by 14, she was diagnosed with anorexia nervo... | 9 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.3538023829460144,
0.12846820056438446,
-0.42762070894241333,
-0.375545859336853,
0.5212409496307373,
0.02327803336083889,
0.20329439640045166,
0.6440466642379761,
-0.5070712566375732,
-0.45056766271591187,
0.1903446912765503,
0.11357483267784119,
-0.8353034257888794,
0.5716730952262878,
... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
--------
Question: LONDON, England -- Americ... | (A)
| 7 | NIv2 | task302_record_classification | fs_opt | [
1.107505202293396,
0.3717197775840759,
-0.44807612895965576,
0.28037500381469727,
0.3456982374191284,
0.47330009937286377,
0.5096343159675598,
0.5655726194381714,
0.5366483330726624,
0.32117608189582825,
0.28888049721717834,
0.5416959524154663,
-1.1229794025421143,
-0.11688114702701569,
... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Problem:As políticas de um país não afetam necessariamente as comunidades tribais e rurais.
Solution: | המדיניות של מדינה לא בהכרח תמיד משפיעה על הקהילות השבטיות והכפריות. | 8 | NIv2 | task1278_ted_translation_pt_he | zs_opt | [
-0.30530422925949097,
0.7584607601165771,
0.003596460446715355,
-0.27511662244796753,
-0.8314075469970703,
-0.2601410746574402,
1.2770097255706787,
0.21652543544769287,
0.17044803500175476,
-0.11819612979888916,
-0.7670742273330688,
-0.0012284789700061083,
-0.6511408090591431,
-0.213806807... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Example: Cando chegas a estas sociedades en desenrolo, as mulleres son os piares da súa comunidade, pero os homes seguen a ser os que controlan as rúas.
Example solution: وقتی به این جامعه های در حال توسعه می روید زنها رکن ... | Solution: یکی از چیزهایی که ما را نگران می کند این است که آیا واقعا اوتیسم یک بیماری واگیردار است. | 5 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-0.9139448404312134,
0.8234702348709106,
-0.32828545570373535,
-0.48009857535362244,
-0.06127937138080597,
-0.8268922567367554,
0.8211534023284912,
0.8104288578033447,
-0.0091354725882411,
0.22385530173778534,
-1.6635069847106934,
0.8755531311035156,
-0.47051990032196045,
0.026127949357032... |
Q: Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
Downbelow Station is a science fiction novel written by C. J. Cherryh and published in 1981 by DAW Books.
A: | Who was the publisher of Downbelow Station? | 7 | NIv2 | task470_mrqa_question_generation | zs_opt | [
-0.1148773655295372,
-0.06629087030887604,
-0.20684529840946198,
-0.5714874267578125,
1.0159862041473389,
-0.30376794934272766,
1.274832844734192,
0.4601598381996155,
0.3360152840614319,
-0.34683722257614136,
-1.0018810033798218,
-0.28184813261032104,
-0.3409116566181183,
-0.27512758970260... |
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: 'a man sitting in a chair opening empty luggage'. Count the number of vowels in the given sentence.
15
Sentence: 'a man taking a photo of a wall mural fe... | 15
| 0 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.1706916093826294,
0.5632269382476807,
-0.7837539315223694,
-0.3020543158054352,
-0.036962710320949554,
0.0209801122546196,
-0.031238172203302383,
0.6318103075027466,
-0.06860416382551193,
-0.5631686449050903,
-0.4440920054912567,
0.027186531573534012,
-0.1761050969362259,
-0.461937844753... |
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that defin... | round_eq { sum { all_rows ; rainfall by depth ( mm / year ) } ; 19537 }
| 7 | NIv2 | task210_logic2text_structured_text_generation | fs_opt | [
0.5170629024505615,
-0.2582651376724243,
-0.5078636407852173,
0.5473697781562805,
0.3490869998931885,
-0.6675395369529724,
0.48530131578445435,
0.34461015462875366,
-0.007687131874263287,
-0.3651597797870636,
-0.3176113963127136,
0.07934480160474777,
-0.2272031009197235,
0.4531157612800598... |
Part 1. Definition
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Part 2. Example
3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Answer: 931, 7, 3432, 132... | i, J, 855, F, 5719, 1101, 3385, 4541, 717, 2003, a, Q | 7 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
0.196355402469635,
-0.14754226803779602,
-0.4028080999851227,
-0.393815815448761,
-0.1994098424911499,
-0.46298855543136597,
0.8228658437728882,
0.21506711840629578,
-0.7337714433670044,
-0.0328589528799057,
-0.9006539583206177,
-0.07246334850788116,
0.06658028811216354,
0.0893248468637466... |
Two analogies that relate items to the associated containers is given in the form "A : B. C : ?". "A : B" relates item A to its associated container B. Your task is to replace the question mark (?) with the appropriate container for the given item C, following the "A : B" relation.
--------
Question: coat : closet. dia... | tube
| 7 | NIv2 | task1159_bard_analogical_reasoning_containers | fs_opt | [
0.026958001777529716,
0.781921923160553,
-0.31459665298461914,
0.9914453029632568,
-0.75298011302948,
-0.1280195415019989,
0.1572464555501938,
0.7801734805107117,
0.13377302885055542,
-0.05901576578617096,
-0.20696555078029633,
0.12122870236635208,
-0.06364887207746506,
0.2834761440753937,... |
Definition: 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 fo... | I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_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 | 2 | NIv2 | task130_scan_structured_text_generation_command_action_long | zs_opt | [
0.12476855516433716,
0.4004542827606201,
-0.42162686586380005,
0.1103110983967781,
0.08152830600738525,
-0.053592026233673096,
0.16842615604400635,
0.10641133785247803,
0.08051364123821259,
-0.08648453652858734,
-0.7857257127761841,
-0.15900307893753052,
-0.629572868347168,
-0.102220095694... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave,... | cyclophosphamide | 1 | NIv2 | task1447_drug_extraction_ade | fs_opt | [
0.13508443534374237,
0.24567155539989471,
-0.4527185559272766,
-0.4696676731109619,
-0.021758243441581726,
-0.7372556328773499,
0.8590865731239319,
0.5930155515670776,
0.7407984733581543,
-0.47897303104400635,
-0.5941934585571289,
-0.3602548837661743,
-0.14257937669754028,
-0.1541180908679... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
¿Liquidstore29, non? ¿Si? Ben.
A: | Liquidsore29, really? Really? Okay. | 7 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-1.3122920989990234,
0.6011792421340942,
0.8982090950012207,
-1.0157992839813232,
0.15294602513313293,
-1.9910266399383545,
-0.5543662309646606,
0.5298696756362915,
-0.30856427550315857,
0.02124948799610138,
0.040247589349746704,
-0.08186502009630203,
-0.9584969282150269,
0.153491169214248... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Q: ليست رطبة؟
A: | What are you talking about? | 4 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
0.003897608956322074,
1.105207920074463,
0.24641773104667664,
-1.0500503778457642,
-0.1864539086818695,
-0.5864293575286865,
0.6003879904747009,
-0.2775995135307312,
0.335684597492218,
0.21116311848163605,
-0.3653952181339264,
-0.3654794692993164,
-0.895912230014801,
0.016499150544404984,
... |
Definition: You are given a statement written in Tamil. 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 .
Input: Statement: ஒலிவியர் ஜிரூட் (Olivier Giroud, ; பிறப்பு: செப்டம்பர் 30, 1986) என்பவர் <MASK> நாட்டை... | பிரான்சு | 2 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | zs_opt | [
0.05231941118836403,
0.6424267292022705,
-0.3679807782173157,
-0.24412813782691956,
0.1941513568162918,
-0.5411404371261597,
-0.12506674230098724,
-0.4477682411670685,
-0.056211575865745544,
0.13832658529281616,
0.10539732873439789,
0.12333482503890991,
-0.8476289510726929,
-0.158819034695... |
TASK DEFINITION: In this task, you are given a sentence in Persian, and your task is to translate it into English.
PROBLEM: در واقع او هرگز آرام و قراری نداشت،
SOLUTION: In reality, he never rested,
PROBLEM: قدرت سلی حیرت آور بود، استعدادش، شخصیتش.
SOLUTION: Sally's power was amazing, her gift, her personality.
PRO... | I could hardly comprehend his present frigidity.
| 8 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.03738788515329361,
0.8276808261871338,
-0.4235988259315491,
-0.5667557120323181,
-0.7095993161201477,
-0.6897772550582886,
1.5064804553985596,
0.2571946978569031,
0.3536578416824341,
-0.5830810070037842,
-0.26513993740081787,
0.40959006547927856,
-0.5006507635116577,
-0.1278204023838043... |
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... | QqtRdbcfgggiinoprruwNMCTbIwiCMA, pYOdVqTJRuTAuZbcfgggiinoprruwcUhr | 0 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.1389252245426178,
0.9749834537506104,
-0.13773682713508606,
-0.04602747783064842,
-0.21363431215286255,
-0.12243920564651489,
0.5564297437667847,
-0.20989122986793518,
0.13040947914123535,
0.033195044845342636,
-0.7737331390380859,
-0.6610348224639893,
-0.1555982530117035,
-0.31044715642... |
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Paragraph: A rapid, cost-effective diagnostic test for... | False
| 0 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.2622370719909668,
-0.14967873692512512,
-0.46103230118751526,
0.32201117277145386,
0.9739688634872437,
-0.15330304205417633,
0.5916061401367188,
0.712794303894043,
-0.19205667078495026,
0.21236997842788696,
-0.2597932815551758,
0.2791164517402649,
-0.7834550738334656,
0.1397421807050705,... |
You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: ೯೦ರ ದಶಕದ ಮಧ್ಯಭಾಗದಲ್ಲಿ ಮುಂಬಯಿಯಿಂದ ಕೊಂಚ ವಿರಾಮ ಪಡೆದುಕೊಂಡು ಊಟಿಯಲ್ಲಿ ಆತ ಮರುನೆಲೆಯನ್ನು ಕಲ್ಪಿಸಿಕೊಂಡ. ಅಲ್ಲಿ ಆತ ... | ಇಟಲಿ
| 0 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
1.526476263999939,
0.43232184648513794,
-0.3828105926513672,
-0.25051939487457275,
0.07154965400695801,
-0.2486923485994339,
0.6968379020690918,
1.203614592552185,
0.08616484701633453,
0.11978552490472794,
0.11534716188907623,
-0.29040950536727905,
-0.8506006002426147,
-0.2251792997121811,... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.