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 an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
Problem:These tasted so good! I was surprised because I have heard so many negative things about glutten free bread product... | False | 8 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
-0.610708475112915,
0.18418169021606445,
0.4276818037033081,
-1.0274707078933716,
-0.1423087865114212,
-0.3482702374458313,
1.018937110900879,
0.21851956844329834,
-0.36225152015686035,
-0.3803698420524597,
-0.8751555681228638,
-0.16461439430713654,
-0.8647323250770569,
-0.2957968115806579... |
Teacher:In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Teacher: Now, understand the problem? Solve this instance: Tw... | yes | 6 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-1.6684043407440186,
0.3945697546005249,
0.8088051080703735,
0.5064616799354553,
0.07021137326955795,
-1.3973660469055176,
-0.4918634295463562,
0.3315008878707886,
0.9599815011024475,
0.026459483429789543,
-0.5009548664093018,
-0.614964485168457,
0.01187194138765335,
-0.22108447551727295,
... |
Part 1. Definition
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 g... | content | 7 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
-0.0892844870686531,
0.07991442084312439,
0.023322694003582,
-0.34464192390441895,
0.1144997850060463,
-0.2390109747648239,
1.0968773365020752,
0.1998656988143921,
0.15586261451244354,
-0.3528611660003662,
-0.1752643883228302,
0.05226713418960571,
-0.841907799243927,
0.2796812057495117,
... |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the... | Output: 54213
| 2 | NIv2 | task300_storycloze_order_generation | fs_opt | [
0.6441305875778198,
0.3907935321331024,
-1.036489725112915,
-0.9147909879684448,
-0.695822536945343,
-0.3713890612125397,
0.19552727043628693,
0.24595123529434204,
-0.07199978083372116,
0.1214478611946106,
-0.9476584196090698,
-0.16225899755954742,
-1.258587121963501,
-0.19635304808616638,... |
Given a sentence in the English language, translate it into the Nepali language.
Text: Large swaths of the Alaskan coastline offer wind and geothermal energy potential as well.
| अलास्काको निकै लमो अनि बिशाल तटिय छेत्रले हावा अनि जियोथर्मल ऊर्जा को लागि बाटो खोल्न सक्छ ।
| 0 | NIv2 | task1514_flores_translation_entone | zs_opt | [
-0.7644372582435608,
0.5183535218238831,
-0.39624717831611633,
-0.5582661628723145,
-0.7887158989906311,
-1.1940646171569824,
0.5720128417015076,
0.12193308025598526,
0.09351298958063126,
0.010173967108130455,
0.8030676245689392,
0.3011624813079834,
-0.46287140250205994,
-0.199776872992515... |
Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
Ex Input:
@anonymized_account Facet, to ty i twoi koledzy w kieckach jesteście jedną wielką dewiacją.
Ex Output:
1
Ex Input:
@anonymized_account Jakie pranie, trzeba coś z tym zrobi... | 0
| 1 | NIv2 | task838_cdt_classification | fs_opt | [
-0.922989010810852,
0.9801836013793945,
0.3892783522605896,
0.4670446217060089,
-0.4280358552932739,
-0.2116154134273529,
0.013138512149453163,
-0.07818089425563812,
0.015230294317007065,
0.37345850467681885,
-0.2565253674983978,
-0.2414371222257614,
-0.013998802751302719,
-0.1063525974750... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimal... | [-74, 278, -22.5, -122, 5.0, 14.0, 8.5, -274, 20.0, 9.0, -23.5]
| 7 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.5886595845222473,
0.5281118750572205,
-0.16018342971801758,
-0.30423253774642944,
0.1448059380054474,
-0.22517487406730652,
1.4850034713745117,
0.12952660024166107,
-0.12330806255340576,
0.1499994695186615,
-0.6916401386260986,
-0.16994498670101166,
-0.7318446636199951,
0.04052410274744... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Input: Consider Input: The maid preferred cleaning the hotel guest's kitchen over the bedroom, because the _ was pleasant. (A) kitchen (B) bedroom
Outpu... | Output: A
| 2 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.23958581686019897,
0.3357795178890228,
-0.3200762867927551,
-0.3696196675300598,
-0.015995219349861145,
-0.7065361142158508,
0.21552401781082153,
0.731410026550293,
0.15903210639953613,
0.12282820045948029,
0.420551061630249,
0.36229342222213745,
0.14262498915195465,
-1.1549321413040161,... |
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
[[-124, 60, 60], [... | [60, 97, -59, 65, 56, 89, 92, 89, 71] | 0 | NIv2 | task207_max_element_lists | zs_opt | [
-0.039492905139923096,
-0.09944941103458405,
-0.76979660987854,
-0.000611134571954608,
-0.06352019309997559,
0.33746853470802307,
0.7450544834136963,
0.07778099179267883,
0.17254990339279175,
0.0894322395324707,
-0.7587006688117981,
-0.00224042939953506,
-0.18466658890247345,
-0.0695636421... |
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', 'media_common'... | location
| 5 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.19041064381599426,
0.49628955125808716,
-0.11106033623218536,
-0.3962891101837158,
0.4108612537384033,
-0.13195344805717468,
0.37589576840400696,
0.13968807458877563,
0.03651922196149826,
-0.34038448333740234,
-0.012248757295310497,
0.415549099445343,
-0.6139921545982361,
-0.441046059131... |
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words ar... | ['all', 'right', 'we', 'have', 'a', 'wordy', 'question', 'here.', 'The', 'global', 'temperature', 'anomaly', 'indicates', 'how', 'much', 'warmer', 'or', 'colder', 'the', 'average', 'global', 'temperature', 'is', 'than', 'normal', 'during', 'a', 'particular', 'time.', 'A', 'researcher', 'conducting', 'an', 'observationa... | 6 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | fs_opt | [
0.6329196691513062,
0.0189862959086895,
-0.1311243176460266,
-0.13678689301013947,
0.4509982168674469,
-1.2771719694137573,
0.10413187742233276,
0.8378320932388306,
-0.7050870060920715,
-0.1300833523273468,
-0.2886197865009308,
-0.5443229675292969,
-0.473145455121994,
0.03295925632119179,
... |
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No". ... | No | 4 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.7145068645477295,
0.24039381742477417,
-0.02358531579375267,
0.0002688319655135274,
-0.4986441135406494,
-0.41471394896507263,
-0.48490110039711,
0.9486737251281738,
-0.13170547783374786,
0.20534327626228333,
0.17361119389533997,
0.09369310736656189,
-1.3811848163604736,
0.0132449176162... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to... | I pull out my tool box >Causes/Enables> I use my hammer | 0 | NIv2 | task748_glucose_reverse_cause_event_detection | zs_opt | [
-0.11186440289020538,
0.9897131323814392,
-0.04939524084329605,
0.1513708233833313,
-0.08250201493501663,
-1.1869926452636719,
0.22465409338474274,
1.313154697418213,
0.051481664180755615,
-0.13733038306236267,
-0.586060643196106,
0.25278744101524353,
-0.4870558977127075,
-0.13298568129539... |
Detailed Instructions: In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
Problem:[0, 4, 3, 7, 1, 2, 1, 4]
Solution: | [0, 3, 7, 2] | 8 | NIv2 | task097_conala_remove_duplicates | zs_opt | [
-0.1452268660068512,
0.7923521995544434,
-0.22375814616680145,
-0.5018418431282043,
0.1890774369239807,
-0.4449567496776581,
0.924597978591919,
0.29402855038642883,
-0.48032355308532715,
-0.17999562621116638,
-0.7888274192810059,
-0.002878560684621334,
0.1689966917037964,
-0.36116480827331... |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the... | 51243
| 6 | NIv2 | task300_storycloze_order_generation | fs_opt | [
-0.23101237416267395,
0.5435548424720764,
-0.40002524852752686,
-0.4874533414840698,
-0.8967812061309814,
-0.6893757581710815,
-0.09948065876960754,
0.7454029321670532,
-0.048164017498493195,
-0.30904194712638855,
-1.0865216255187988,
-0.18358659744262695,
-0.938082754611969,
-0.4094531834... |
Detailed Instructions: In this task, you're given an input that contains two words, and your task is to predict the correct preposition that connects these two words. Predict the preposition that explicitly conveys both words' meaning, e.g., Word1: king
Word2: fort: "king of fort". Possible prepositions are: "of", "o... | for | 8 | NIv2 | task585_preposition_classification | zs_opt | [
0.1716151237487793,
1.5471673011779785,
0.23932896554470062,
-0.6181976795196533,
-0.2157888412475586,
-0.7065916061401367,
0.2681925296783447,
0.802793562412262,
-0.012376385740935802,
-0.9267127513885498,
-0.8174137473106384,
-0.2848621606826782,
-1.0429503917694092,
0.1410549283027649,
... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Problem:Que hai da arte?
Solution: | じゃあアートは ？ | 8 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.2207144945859909,
0.36053064465522766,
-0.10901758074760437,
-0.42064493894577026,
0.15989619493484497,
-0.5061662197113037,
-0.31108418107032776,
0.6465027928352356,
-0.4396057724952698,
-0.5199702978134155,
-0.37986183166503906,
-0.20050746202468872,
-0.4084911346435547,
0.66005516052... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | Woman enjoys walking on a sunny day through water fountain.
| 7 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.5097196102142334,
0.8170742988586426,
-0.09666488319635391,
-0.4485810101032257,
0.21276403963565826,
-0.3962182402610779,
-0.497033953666687,
0.5658969283103943,
0.33529579639434814,
-0.22995281219482422,
-0.9708561301231384,
-0.6233393549919128,
0.12969791889190674,
-0.300751686096191... |
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
--------
Question: Mr President, the EU is now exposed to... | English
| 7 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
-0.37965530157089233,
0.8500514030456543,
1.0351200103759766,
-0.1334453821182251,
-0.06672503054141998,
-0.3517625033855438,
0.2641116976737976,
0.5929535031318665,
0.37955304980278015,
-0.04460567235946655,
-0.18149110674858093,
0.3672630190849304,
-0.24184179306030273,
-0.47274953126907... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
--------
Question: [[18, 17, 12, -10, -11], [45, -... | [131404, -141, 12]
| 7 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.1369115114212036,
0.3217327296733856,
-1.0559102296829224,
-0.538272500038147,
-0.22681404650211334,
-0.5278894901275635,
1.2580580711364746,
0.24474173784255981,
-0.4294479489326477,
-0.6986191272735596,
-1.547683596611023,
0.048272330313920975,
-0.6730915307998657,
-0.3012489080429077,... |
In this task, you are given one French sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into English.
Ex Input:
- des postes de direction
Ex Output:
- Management posts
Ex Input:
... | If the management team of the mailbox is unable to answer your question, it will forward your e-mail to another service.
| 1 | NIv2 | task1397_europa_ecdc_tm_fr_en_translation | fs_opt | [
-0.5597726702690125,
0.3523341417312622,
0.32712048292160034,
-0.7031134366989136,
0.431410551071167,
-1.067164659500122,
-0.22458910942077637,
0.06058284640312195,
0.5158230066299438,
0.42835062742233276,
0.32177889347076416,
0.1848078817129135,
0.03430413082242012,
0.45046496391296387,
... |
In this task, you need to reverse 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.
Example input: Sentence: 'as a guy jumps over the snow with his snowboard people riding on the lift behind him look on'. Reverse all wor... | many vegetables are on the green nehctik retnuoc | 3 | NIv2 | task378_reverse_words_of_given_length | fs_opt | [
-0.7547927498817444,
0.9279730319976807,
0.09240847826004028,
-0.8226381540298462,
-0.136045902967453,
-0.12526574730873108,
0.6254193782806396,
0.3824034631252289,
0.3135831356048584,
-1.1522728204727173,
-1.2814948558807373,
0.3536425828933716,
-0.9459506273269653,
0.6789867877960205,
... |
Teacher:In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated val... | [-11.5] | 6 | NIv2 | task124_conala_pair_averages | zs_opt | [
-0.649407148361206,
0.08054201304912567,
-0.49544838070869446,
-0.7120813131332397,
-0.10830897092819214,
-0.1259562224149704,
0.6445575952529907,
0.7291069626808167,
0.22523190081119537,
-0.24202454090118408,
-0.051902540028095245,
-0.2873654365539551,
-0.0018498022109270096,
0.3021173179... |
In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list of n... | [2, 4, 8] | 9 | NIv2 | task098_conala_list_intersection | fs_opt | [
0.3174375593662262,
0.08327038586139679,
-0.18143849074840546,
-0.5108501315116882,
0.08100230991840363,
0.09429392218589783,
0.9317853450775146,
0.0137331523001194,
-0.09333498775959015,
0.3161482512950897,
-0.7161704897880554,
-0.38954299688339233,
-0.32698652148246765,
0.052781842648983... |
Given the task definition and input, reply with output. 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.
Context: Sharpe's Challenge is a British TV film from 2006, usually shown in two... | richard sharpe | 5 | NIv2 | task469_mrqa_answer_generation | zs_opt | [
-0.46651941537857056,
0.9269105792045593,
0.38518068194389343,
-0.49551844596862793,
-0.24359270930290222,
-0.06028804928064346,
1.5705957412719727,
0.02491636760532856,
0.2119045853614807,
-0.9295051097869873,
-0.6627799272537231,
0.09726710617542267,
-1.6244661808013916,
-0.3445102572441... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and nou... | The women 's washing with cold water is common to all the days of this month . . .. | 1 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
0.3911423087120056,
0.2538900375366211,
0.12747998535633087,
0.4755498170852661,
0.6224852204322815,
-0.2813451290130615,
-0.5103390216827393,
0.7720156311988831,
0.12146061658859253,
-0.26571446657180786,
-0.6238309741020203,
-0.6162734031677246,
-0.2009618878364563,
-0.13616493344306946,... |
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguish... | attacks foreign bodies.
| 5 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.6042399406433105,
0.973527193069458,
-0.4769844114780426,
0.44669827818870544,
-0.3128843307495117,
-1.7687963247299194,
0.12133894860744476,
0.8016680479049683,
-0.7486529350280762,
0.10302689671516418,
-1.1795977354049683,
0.03557976335287094,
-1.09153413772583,
0.33849093317985535,
... |
Teacher:In this task, you are given a context sentence containing a blank (_). You are expected to fill the blank with one word to make the sentence convey a cultural stereotype. A stereotype is an over-generalized belief about a particular group of people. Your answer must not contain more than one word.
Teacher: Now,... | white | 6 | NIv2 | task277_stereoset_sentence_generation_stereotype | zs_opt | [
-0.21021929383277893,
0.49442198872566223,
-0.2142878919839859,
0.18443112075328827,
0.6523445844650269,
-0.12232469022274017,
0.36570656299591064,
0.8270750045776367,
0.21027231216430664,
-0.5727469325065613,
-0.6653908491134644,
-0.15004144608974457,
-0.8706455826759338,
0.14349779486656... |
Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Problem:این جنگ پاکستان علیه فلج اطفال است.
Solution: | This is Pakistan’s fight against polio. | 8 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-0.40942907333374023,
0.9401912689208984,
-0.2246239334344864,
-0.4613801836967468,
-0.32718878984451294,
0.4123886823654175,
1.595170497894287,
0.35038796067237854,
0.916469931602478,
-0.016963815316557884,
-0.8118027448654175,
0.6493433713912964,
-0.6542991399765015,
0.43300753831863403,... |
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? What relevant ... | True | 0 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
-0.6036206483840942,
0.4586874842643738,
-0.275727778673172,
-0.2269599884748459,
0.06616716086864471,
-0.1474761962890625,
0.47564759850502014,
0.8612185716629028,
0.17299917340278625,
-0.026808373630046844,
-1.2262312173843384,
-0.280454158782959,
0.025890398770570755,
0.1670332849025726... |
You will be given a definition of a task first, then some input of the task.
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 preceding the last i elements. i will always have a value less than the length of A.
4, ['u', 'J', 'J', '2773', '3755', ... | u, J, J, 2773, 3755, 1657, p, 2413, B, m, x, p | 1 | NIv2 | task078_all_elements_except_last_i | zs_opt | [
-0.20146462321281433,
0.3428247272968292,
-0.6127960681915283,
0.077800452709198,
-0.0030843152198940516,
0.22554099559783936,
0.3989764153957367,
0.11941158026456833,
-0.24495114386081696,
-0.17153409123420715,
-0.8158412575721741,
-0.39127862453460693,
0.6077893972396851,
-0.720562219619... |
Definition: Given an object and a part, decide whether the object has that part. For example if you are asked 'gun has barrel?', you need to decide if a gun has a barrel as one of its components or parts, indicating 1 or 0 as your answer respectively. All sentences strictly follow the template 'object has part?.'
Input... | 0 | 2 | NIv2 | task1583_bless_meronym_classification | zs_opt | [
0.14723354578018188,
0.2310345470905304,
-0.11493979394435883,
0.2022080421447754,
0.12222881615161896,
-0.641917884349823,
1.7579067945480347,
-0.27990734577178955,
0.25577718019485474,
-0.0026973991189152002,
-1.0053496360778809,
0.0947481021285057,
-0.7621856331825256,
0.415518313646316... |
Detailed Instructions: Given a sentence in Italian, generate a new Italian 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 reasona... | Se si desidera mettere a fuoco gli sport allora si dovrebbe vincere un disegno. | 8 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.25047269463539124,
0.4223438799381256,
-0.4063867926597595,
0.17754989862442017,
-0.20617395639419556,
-0.042320992797613144,
0.6581782102584839,
0.8540588617324829,
-0.051280032843351364,
-0.6257680058479309,
-0.8105590343475342,
0.3863821029663086,
-0.6848316192626953,
0.0586969405412... |
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 the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have f... | The handyman took his ladder to his van and threw it down. | 0 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
0.03411766141653061,
0.39699119329452515,
-0.05983569100499153,
-0.46794041991233826,
-0.25507497787475586,
0.5192897319793701,
0.6108962297439575,
0.6486639976501465,
-0.28478193283081055,
-0.31165438890457153,
-0.3971685767173767,
0.20575135946273804,
0.21709448099136353,
0.0378667153418... |
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Q: The chef added wa... | mixture | 4 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
0.09146181493997574,
1.140944480895996,
0.19466479122638702,
-0.6222046613693237,
-0.04777572304010391,
-0.29056358337402344,
0.9473950862884521,
0.37949129939079285,
0.0492720752954483,
-0.4896776080131531,
0.6331351399421692,
0.13919828832149506,
-0.6428910493850708,
-0.00607693800702691... |
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
Example input: [1, 2, 3]
Example output: [0.167, 0.333, 0.500]
Example explanation: The output list sums to 1.0 an... | [-0.014 0.296 0.308 0.121 0.316 0.013 0.039 -0.08 ] | 3 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.10032659769058228,
0.5276190042495728,
-1.0172545909881592,
-0.7372251749038696,
0.4507311284542084,
-0.02528940513730049,
0.6927635073661804,
0.1808868646621704,
-0.17778077721595764,
0.01553640142083168,
-0.7160506844520569,
0.4621528387069702,
-0.1171959936618805,
-0.4563031792640686... |
Detailed Instructions: In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. La... | False | 4 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
0.09751784801483154,
0.2220623642206192,
-0.6959198117256165,
0.1440717726945877,
-0.39616504311561584,
-1.2288872003555298,
0.8754125833511353,
0.3157517910003662,
0.02519172988831997,
-0.4794538617134094,
-0.16937370598316193,
-0.30375832319259644,
-0.25123435258865356,
0.233169585466384... |
Given the task definition, example input & output, solve the new input case.
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 afte... | friendly | 1 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.21295399963855743,
0.22938965260982513,
0.4225619435310364,
0.13727834820747375,
0.1974477767944336,
-0.37623143196105957,
0.44195619225502014,
0.850726842880249,
0.21444988250732422,
-0.40698403120040894,
-0.15354353189468384,
-0.18245498836040497,
-0.3318740725517273,
0.11400898545980... |
Detailed Instructions: 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'.
Problem:(A) not being happy when a girl grinded on me
(B) holding onto things m... | B | 8 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
0.14095723628997803,
0.6064110398292542,
-0.15173783898353577,
-0.6760791540145874,
-0.38643068075180054,
-0.602112352848053,
0.014312345534563065,
0.9231550693511963,
0.2087409496307373,
0.3632093667984009,
-0.6607557535171509,
-0.16297361254692078,
0.38545751571655273,
-0.855350255966186... |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
[EX Q]: What is the Islamic State no no what kind of people make up the Islamic State?
[EX A]: What type of group is The Islamic State?
[EX Q]: What are cestida named?
[EX A]: What are cestida ... | What type of movement is the non-Muslim Brotherhood?
| 6 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
-0.20642805099487305,
0.602841854095459,
-0.15325039625167847,
-0.09919638931751251,
-0.3023689091205597,
-0.3475770950317383,
0.7151099443435669,
0.5604389309883118,
0.7516259551048279,
0.38702183961868286,
-0.7668159008026123,
-0.9799671173095703,
-0.9849734306335449,
-0.554550290107727,... |
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Sentence1: Initial autopsy reports show they died of dehydration , hyperthermia and suffocation ., Sentence2: Two more died later , and initial autopsy reports show they succumb... | Yes
| 0 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
0.2647201418876648,
0.8573141694068909,
0.3373485505580902,
-0.1691434234380722,
0.05105149745941162,
-0.6532784104347229,
0.4014568328857422,
1.1013177633285522,
-0.02580108866095543,
0.07030738890171051,
-0.373836874961853,
-0.2638128697872162,
-0.4851199686527252,
0.3416672348976135,
... |
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".
Example: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like... | Solution: True | 5 | NIv2 | task590_amazonfood_summary_correction_classification | fs_opt | [
-0.25411921739578247,
-0.6120069026947021,
0.18063735961914062,
-0.06983795762062073,
-0.23535776138305664,
-0.31200242042541504,
0.7098446488380432,
0.8441842794418335,
-0.7350001335144043,
-0.009351165033876896,
0.024147436022758484,
-0.20586536824703217,
-0.5282316207885742,
-0.14617979... |
Teacher:Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: Apat na miyembro ng gumagawa ng pelikula ang hinuli dahil sa hinalang pag-asult... | 撮影班の4人のメンバーが日曜の夜、「宇宙戦争」のロンドンプレミア公演で映画スターのトム・クルーズに水をかけた暴行容疑で逮捕された。 | 6 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-0.32249915599823,
1.0390880107879639,
0.2751579284667969,
-0.45404309034347534,
0.30066609382629395,
-0.777370810508728,
-0.212611585855484,
-0.05400066822767258,
0.15119487047195435,
-0.27712389826774597,
-0.10341282933950424,
-0.16234156489372253,
-0.8310825824737549,
-0.361291378736495... |
Instructions: 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.
Input: Wisconsin's Republican ... | (C) | 3 | NIv2 | task302_record_classification | zs_opt | [
0.04452693462371826,
0.31990882754325867,
-0.328952819108963,
0.6422080993652344,
-0.011550079099833965,
0.10767880082130432,
0.626350998878479,
0.9577890634536743,
0.13387612998485565,
0.5019163489341736,
0.3516491651535034,
1.0060951709747314,
-0.07410148531198502,
-0.09413163363933563,
... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: इस अनुच्छेद द्वारा प्रदत्त संरक्षण केवल नागरिकों तक सीमित नहीं है बल्क... | Here the protection provided by the article is not limited to citizens only but is applicable to all persons . | 4 | NIv2 | task424_hindienglish_corpora_hi_en_translation | zs_opt | [
0.0758165717124939,
0.7081705927848816,
0.6593575477600098,
-0.3940899968147278,
0.1675889641046524,
-1.3971834182739258,
0.8844542503356934,
0.812562108039856,
-0.05130574852228165,
-0.45841333270072937,
-0.7248733043670654,
-0.12217999994754791,
-0.3870430290699005,
0.06412482261657715,
... |
Definition: 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.
Input: मैं चाहता हूं कि सरकार में और आर्थिक मामलो... | Hindi | 2 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.24692654609680176,
0.18359233438968658,
0.5840128660202026,
0.011236906051635742,
0.11276605725288391,
-0.12708637118339539,
0.0038884212262928486,
0.5351164937019348,
0.02720620110630989,
-0.39000192284584045,
-0.5501943826675415,
-0.36160504817962646,
-0.1301111876964569,
-0.361298501... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Media łączyły się z nami.
Solution: Os "" media "" interligavam-se connosco.
Why? The Polish sentence... | E depois deste, há 77 outros artistas. | 0 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
-0.27840250730514526,
0.6061439514160156,
0.27243492007255554,
-0.49514490365982056,
0.06925630569458008,
0.45897555351257324,
0.3221033811569214,
-0.12542468309402466,
0.5275497436523438,
-0.2589395046234131,
-0.17834019660949707,
0.3390417993068695,
-0.5991219878196716,
0.119983300566673... |
Detailed Instructions: In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
Q: Question: Donald is comparing types of magma, a... | Magmas that produce lighter colored minerals are higher in silica. | 9 | NIv2 | task223_quartz_explanation_generation | zs_opt | [
-0.5367492437362671,
0.45983606576919556,
-0.07865913212299347,
-1.1094119548797607,
-0.28666186332702637,
-0.7351791858673096,
0.6462121605873108,
0.8170977830886841,
-0.08110009878873825,
0.1842006891965866,
-0.006125620566308498,
-0.0971301943063736,
-0.6103404760360718,
-0.105533167719... |
Instructions: 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".
Input: Japanese: 「今後しばらく、街の中心部では警察活動が行われるだろう。」
Khamer: "វានឹងមានការចូលមកនូវសកម្មភាពប៉... | Yes | 3 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
0.08448971807956696,
-0.10527348518371582,
-0.27549147605895996,
0.34246155619621277,
0.017101958394050598,
-0.9553758502006531,
0.5729753971099854,
0.20971009135246277,
-0.16995058953762054,
-0.33574753999710083,
-0.033628806471824646,
0.40179988741874695,
-0.8941316604614258,
0.490837037... |
Given the task definition and input, reply with output. In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but n... | Non-hateful | 5 | NIv2 | task333_hateeval_classification_hate_en | zs_opt | [
-0.7766356468200684,
0.3250594735145569,
0.6274222135543823,
0.4699735641479492,
-0.2457599639892578,
-0.5716093182563782,
0.6102228164672852,
0.9215050935745239,
0.592139720916748,
0.5676276683807373,
-0.21299177408218384,
0.34865063428878784,
-0.8616369962692261,
-0.5858830213546753,
0... |
Instructions: In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Input: Sentence: 'a bus and two cars are going down a two way street'. How many words start with the letter 't' in the sentence.
Output: | 2 | 3 | NIv2 | task162_count_words_starting_with_letter | zs_opt | [
0.4158256947994232,
0.8409190773963928,
-0.16356992721557617,
0.30091702938079834,
0.38485974073410034,
0.4069080054759979,
-0.23336605727672577,
0.2093391716480255,
0.19158898293972015,
-0.2785964012145996,
-0.4899776577949524,
-0.42335543036460876,
-0.17728514969348907,
-0.31836336851119... |
In this task, you are given an article. Your task is to summarize the article in a sentence.
Can you recite the constituencies of prime ministers? Do your friends roll their eyes if you mention the recounts in 1974?
Jeremy Vine asks five questions to sort the hanging chads from the swinging marginals.
If you can answe... | Are you the ultimate election geek? | 0 | NIv2 | task1290_xsum_summarization | zs_opt | [
-0.5657691955566406,
0.4490920603275299,
0.019503407180309296,
0.05874115228652954,
0.1250879317522049,
-0.18245179951190948,
1.4397432804107666,
-0.07855556905269623,
-0.29824012517929077,
-0.0024533874820917845,
-0.7025356292724609,
0.050976887345314026,
-0.4810521602630615,
0.5501412153... |
TASK DEFINITION: A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
PROBLEM: खरे तर नवे तंत्रज्ञान आणि कनेक्टीविटीचा वापर करत त्याला आपलेसे करण्यात वित्तीय क्षेत्र नेहमी अग्रेसर असते असे इतिहास सांगतो.
SOLU... | نئی دہلی،26جولائی،؛صدرجمہوریہ ہند جنا ب رام ناتھ کووند نے آج 20 ویں کرگل وجے دوس پر سری نگر میں چنارکور (15ویں کور) جنگی یادگار پر 1999 کی کرگل جنگ میں شہید ہونے والے بھارتی فوج کے سپاہیوں اور افسران کو خراج عقیدت پیش کیا۔
| 8 | NIv2 | task989_pib_translation_marathi_urdu | fs_opt | [
-1.0763497352600098,
0.2917066514492035,
-0.3164672255516052,
0.07732461392879486,
-0.5853267908096313,
-0.42323124408721924,
1.1453619003295898,
0.8693865537643433,
0.050395023077726364,
-0.12567177414894104,
-0.5688236951828003,
-0.14502468705177307,
-0.5954238772392273,
0.58084368705749... |
Given the task definition and input, reply with output. You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Person1: Excuse me , can you tell me where I can take a taxi ?... | 0 | 5 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
-0.35522890090942383,
0.6801741719245911,
0.15043792128562927,
-0.12607182562351227,
0.2873241603374481,
-0.321138471364975,
0.4315129518508911,
0.2256961613893509,
0.3699861168861389,
-0.09389790892601013,
-0.4283517599105835,
-0.20979757606983185,
-0.1260770559310913,
0.0655241534113884,... |
Categorize the comment on the basis of sexual explicitness. If the comment is sexually explicit output Yes, otherwise output No.
Q: Regarding your Fred Stewart story, you need to ask yourself how certain you are before you print a story that absolutely destroys the candidacy of someone who has served his community well... | No | 4 | NIv2 | task1723_civil_comments_sexuallyexplicit_classification | zs_opt | [
-0.4108337163925171,
0.07087397575378418,
0.01570594683289528,
0.027654409408569336,
0.2456386834383011,
-0.48673558235168457,
0.18178831040859222,
0.40803956985473633,
0.25053608417510986,
-0.1346558928489685,
0.3310086727142334,
0.3924236297607422,
-0.44389837980270386,
-0.94308000802993... |
Teacher: In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Teacher: Now, understand the problem? If you are still ... | 3 | 2 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.11104860156774521,
0.446626752614975,
-0.6129043698310852,
0.022033311426639557,
0.6315065026283264,
-0.19003820419311523,
0.7684574127197266,
1.2953228950500488,
-0.02568988874554634,
0.16310814023017883,
0.08481770753860474,
0.33813685178756714,
-0.3172430396080017,
-0.0345572270452976... |
Teacher:In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
Teacher: Now, understand the problem? Solve this instance: The motorcycle has a compartment attached on the back to hold items for the rider.
Student: | મોટરસાઇકલમાં એક ડબ્બો છે જે પાછળથી જોડે છે અને તેને રાઇડર માટે વસ્તુઓ પકડી રાખે છે. | 6 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | zs_opt | [
-0.21556851267814636,
-0.04869303107261658,
0.2243262678384781,
-0.7102209329605103,
0.1431775987148285,
-1.123134732246399,
0.12107472121715546,
-0.014986468479037285,
0.08077989518642426,
-0.4829620122909546,
-0.8651046752929688,
0.032667070627212524,
-0.8519965410232544,
-0.106452666223... |
Detailed Instructions: A text is given in Tamil. Translate it from the Tamil language to the Hindi language. The translation must not omit or add information to the original sentence.
Problem:பூடானின் மிகச்சிறந்த மற்றும் ஆற்றல்மிக்க இளைஞர்களான உங்கள் முன் இன்று நிற்கிறேன்.
Solution: | आजमैं भूटान के सर्वश्रेष्ठ और प्रतिभाशाली युवाओं के बीच उपस्थित हूं। | 8 | NIv2 | task994_pib_translation_tamil_hindi | zs_opt | [
0.5958023071289062,
0.09208323806524277,
-0.026069795712828636,
-0.09873571991920471,
-0.5042228102684021,
-1.3720016479492188,
0.10985110700130463,
-0.12801097333431244,
0.07564318180084229,
-0.12296488881111145,
-0.3678779602050781,
0.2537733316421509,
-0.5971241593360901,
0.201796233654... |
Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
Ex Input:
Human rabies is extremely rare, and there have been no cases in Oregon in the last ____ years.\Question: Choose the right answer from op... | a
| 1 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
-0.5295979976654053,
0.4724072813987732,
-0.4971952438354492,
-0.13813859224319458,
-0.5186764001846313,
-0.7938926815986633,
0.8337695002555847,
1.2598292827606201,
-0.0943564772605896,
-0.01298215426504612,
-0.7624563574790955,
0.017774639651179314,
-0.10710272938013077,
-0.1752896755933... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
One example: Isto inclúe un sistema en árabe chamado al-jebra.
Solution is here: Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Explanation: The Galician sentence is correctly translated into Italian,... | Ok. Cosa avete visto? | 6 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.05149740353226662,
1.0220156908035278,
-0.28812476992607117,
0.5316042900085449,
-0.26194506883621216,
-0.8074542284011841,
0.8679856061935425,
0.8608766198158264,
-0.9814576506614685,
-0.037217359989881516,
-0.4866352379322052,
-0.5236868858337402,
-0.6068188548088074,
0.60828757286071... |
Teacher:Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when ... | no | 6 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
0.04546678066253662,
0.015565984882414341,
0.15604247152805328,
0.16952162981033325,
0.5262712836265564,
-0.7053557634353638,
0.12924139201641083,
1.0110692977905273,
-0.3481614887714386,
-0.2243562489748001,
-0.15817734599113464,
0.5394803285598755,
-0.46400755643844604,
-0.10806689411401... |
You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothesis. Your... | neutral
| 1 | NIv2 | task1529_scitail1.1_classification | fs_opt | [
-0.45871639251708984,
0.052283842116594315,
-0.77464759349823,
0.2997472882270813,
-0.5948202610015869,
-0.8840814828872681,
0.19610200822353363,
0.65377277135849,
0.07602670788764954,
-0.03117218054831028,
-0.8532217741012573,
-0.010340199805796146,
-0.4818326234817505,
0.1109206229448318... |
In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Q: سيبلي حسناً
A: | He'll do fine. | 4 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
0.2549947500228882,
1.098608374595642,
0.31840580701828003,
-0.48878002166748047,
-0.029673296958208084,
-0.7819054126739502,
0.7815611362457275,
-0.6761132478713989,
0.7086166739463806,
0.4548441171646118,
-0.07189594209194183,
0.7697204947471619,
-0.6758296489715576,
0.5015017986297607,
... |
Part 1. Definition
This task is about translating a given English language sentence to French.
Part 2. Example
How shall we inscribe intent on all the objects we create, on all the circumstances we create, on all the places we change?
Answer: Comment devrions nous inscrire l'intention sur tous les objets que nous créon... | Doug : | 7 | NIv2 | task1689_qed_amara_translation | fs_opt | [
-0.7235760688781738,
0.613312840461731,
0.9072048664093018,
-0.3583694398403168,
0.23713776469230652,
-0.8301533460617065,
0.6781216859817505,
-0.42327865958213806,
0.44123393297195435,
-0.3276383578777313,
-0.15618452429771423,
0.45951753854751587,
-0.06705360859632492,
-0.381676137447357... |
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
[EX Q]: does not work properly the reviews online are grossly inacurate do not buy this item... it does not work correctly.
[EX A]: does not work properly the reviews online are grossly inacurate ...
[EX Q]:... | not happy with this Shop or their referbished computers that don’t ...
| 6 | NIv2 | task618_amazonreview_summary_text_generation | fs_opt | [
0.42917919158935547,
0.2663425803184509,
-0.9066936373710632,
-0.22327128052711487,
0.5900797843933105,
-0.13854721188545227,
1.0581839084625244,
1.2203527688980103,
0.04094885662198067,
0.33927208185195923,
-0.09818879514932632,
0.04323567450046539,
-0.18934112787246704,
-0.04735341668128... |
Detailed Instructions: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible rea... | What is the narrator trying to get working by Christmas ? | 9 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
-0.15865552425384521,
-0.32297462224960327,
-0.08062618970870972,
0.21141068637371063,
0.04621909558773041,
-0.6879911422729492,
0.16087329387664795,
1.1289054155349731,
-0.04733966290950775,
0.1811850666999817,
-0.32090437412261963,
0.4332149624824524,
-0.22426721453666687,
0.421078860759... |
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: નાના-મોટાં એમ બધાં મળીને આશરે બસો જેટલાં પુસ્તકો એમણે આપ્યાં છે. તેમણે રવિન્... | મુહમ્મદ | 9 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
-0.3317341208457947,
0.14360594749450684,
0.24881118535995483,
-0.8431135416030884,
-0.2088175266981125,
-0.5559866428375244,
1.0290924310684204,
-0.5503430366516113,
0.7183928489685059,
-0.38988035917282104,
-0.3488072454929352,
0.0031866971403360367,
-0.3389171361923218,
-0.1242917925119... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task is to translate the Telugu Language Input to English Language Output
నేను వీడియో చేస్తున్నాను
Solution: I am making a video.
Why? Both the sentences says the same meaning in different lang... | 10:6 And when he had entered, he said to him, “What ought to be done for the man whom the king wishes to honor?” But Haman, thinking in his heart and supposing that the king would honor no one else but himself, | 0 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt | [
-0.05552852153778076,
0.3391980826854706,
0.3700231909751892,
0.2805933952331543,
-0.216326504945755,
-0.38775286078453064,
-0.21127095818519592,
0.5405955910682678,
-0.5140485167503357,
-0.4363151788711548,
0.4636048674583435,
-0.17261902987957,
-0.3915026783943176,
-0.3484829366207123,
... |
You will be given a definition of a task first, then some input of the task.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
i got this for my son who wants to go to china. he is pleased and is starting to speak a little of the language already. good book... | Positive | 1 | NIv2 | task493_review_polarity_classification | zs_opt | [
0.08224476873874664,
-0.4131599962711334,
0.15837527811527252,
-0.6362853050231934,
0.5866402983665466,
0.48719388246536255,
1.1040494441986084,
0.12972447276115417,
0.16550302505493164,
0.7426756620407104,
-0.3239781856536865,
-0.2621932327747345,
-0.501578688621521,
-0.2528928816318512,
... |
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
One example: 5 + 3
Solution is here: 2
Explanation: Here, '+' represents subtra... | -3670 | 6 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.1297859400510788,
0.038257766515016556,
-0.8594760298728943,
0.2176310420036316,
-0.17839564383029938,
0.21402090787887573,
0.900194525718689,
1.6092842817306519,
0.3137754499912262,
-0.3272577226161957,
-0.7333859205245972,
-0.35336834192276,
-0.42536526918411255,
0.17956948280334473,
... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
One example is below.
Q: Why? Because that profit allows whatever solution we've created to be infinitely scalable.
A: Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproducibile... | Ma viviamo comunque in un mondo con vincoli ed esigenze molto reali. | 9 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.3483346104621887,
1.285085916519165,
0.4947243332862854,
-0.13942550122737885,
-0.19841396808624268,
-0.9869621992111206,
-0.1553228497505188,
0.8767276406288147,
0.10133393108844757,
0.14340445399284363,
-0.13996757566928864,
0.8087944388389587,
-0.7554667592048645,
0.42660635709762573... |
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
| 0 | NIv2 | task357_casino_classification_negotiation_small_talk | fs_opt | [
-0.1835780143737793,
0.4837690591812134,
-0.4293885827064514,
0.2492346316576004,
-0.3095366954803467,
-0.2913491129875183,
0.7471396923065186,
0.7484618425369263,
-0.28331249952316284,
0.3130474090576172,
0.10894763469696045,
0.003641527146100998,
-0.8830357789993286,
-0.406202495098114,
... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
One example is below.
Q: جناب گرانت خیلی دلش میخواست روز یکشنبه بعد از آن همه خستگی روزانه بنشیند و بوقلمون را بخورد.
A: because I know how much more Dr. Grant would enjoy it on Sunday after the fatigues of the day,
Ratio... | It must be very difficult to keep Anhalt from appearing a formal, solemn lecturer; | 9 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.8316198587417603,
0.35600531101226807,
-0.22651821374893188,
-0.20405274629592896,
-0.7044738531112671,
-1.342627763748169,
0.9465280771255493,
0.008665230125188828,
0.3164549469947815,
-0.27106142044067383,
-0.10967662930488586,
0.551908016204834,
-0.5477646589279175,
0.775151014328002... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
آناناس یا کاجدیس (به فرانسوی: Ananas) نوعی میوه است که ریشه آن از جنوب برزیل و پاراگوئ... | ناحیه گرمسیری قارهٔ آمریکا | 1 | NIv2 | task395_persianqa_answer_generation | zs_opt | [
0.30466845631599426,
0.752208948135376,
-0.1522589772939682,
0.6944915652275085,
-0.6123125553131104,
-0.19730010628700256,
0.6323510408401489,
0.7123390436172485,
-0.544735312461853,
0.4321131706237793,
-0.7527839541435242,
0.4637076258659363,
-0.6327904462814331,
0.446738600730896,
1.0... |
Detailed Instructions: In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absol... | 96.71 | 9 | NIv2 | task095_conala_max_absolute_value | zs_opt | [
0.08147726953029633,
0.02958337590098381,
-0.1544046700000763,
0.7464069128036499,
0.06533874571323395,
-0.6003032922744751,
0.8705443739891052,
0.9627784490585327,
-0.011145171709358692,
-0.2634798586368561,
-0.5250864624977112,
0.1670767068862915,
-0.010896598920226097,
0.033511698246002... |
instruction:
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... | WRB VBD DT NN IN NN IN DT NN WP VBD DT JJ NNP NNP IN PRP$ NN .
| 9 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
0.7638624906539917,
0.10925935953855515,
-0.497647762298584,
-0.06095835566520691,
0.0451047345995903,
-0.6790362596511841,
0.9980955123901367,
0.6726901531219482,
0.08219648897647858,
0.002085392363369465,
-0.4329551160335541,
0.715408444404602,
-0.7418991327285767,
0.3319488763809204,
... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimal... | Output: [-14.0, -2.0, 342, 222, 166, -20.0, -114, -394, -130, -314, -12.5]
| 2 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.12625905871391296,
-0.08540801703929901,
-0.6457986831665039,
0.062824547290802,
0.385991632938385,
-0.17491833865642548,
1.0398411750793457,
0.4532387852668762,
-0.4443426728248596,
-0.12972597777843475,
-0.9786236882209778,
-0.14987941086292267,
0.09806550294160843,
-0.102605134248733... |
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of log... | no | 8 | NIv2 | task211_logic2text_classification | fs_opt | [
-0.032011479139328,
-0.1383868157863617,
-0.35237860679626465,
0.6462269425392151,
0.33573684096336365,
-0.5054898262023926,
0.1146773248910904,
0.46681421995162964,
0.14546598494052887,
0.021908463910222054,
-0.4423438310623169,
0.5639280080795288,
-0.08191743493080139,
0.5674201250076294... |
You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two possible outputs, i.e... | high | 8 | NIv2 | task1712_poki_classification | fs_opt | [
0.6445888876914978,
0.7740176320075989,
0.18634989857673645,
-0.3414789140224457,
-0.23250892758369446,
-1.4727730751037598,
0.744044840335846,
0.4205351769924164,
0.3436172306537628,
-0.8147199749946594,
-0.3607613444328308,
0.2620263993740082,
-0.4304054379463196,
0.0071462481282651424,
... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Problem:驚いたことに結果は普通の採取器に比べ骨髄液だけでなく 10倍もの幹細胞の活動を含んだ骨髄液をこのメローマイナ ― で採取することができたのです
Solution: | E abbiamo scoperto, con nostra sorpresa, che non solo potevamo raccogliere midollo osseo, ma che avevamo un attività delle cellule staminali 10 volte maggiore nel midollo raccolto con lo Scava-Midollo, rispetto al normale apparecchio. | 8 | NIv2 | task1096_ted_translation_ja_it | zs_opt | [
1.3633794784545898,
0.5909146070480347,
-1.2131115198135376,
0.4094586670398712,
-0.7070566415786743,
-0.8010036945343018,
-0.37312421202659607,
0.8131103515625,
0.25062376260757446,
-0.9561676979064941,
-0.6462472081184387,
0.4455043375492096,
-0.5272098183631897,
0.1335400938987732,
-0... |
In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Q: @elena_yip My random guesses for you! A potential Amelie, Kenneth of 30 Rock (but YA instead of TV) & maybe w/ the optimism of Lara Jean?
A: | Not happy | 4 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
-0.9397051334381104,
0.5687929391860962,
0.3282979726791382,
-0.409300833940506,
0.38375669717788696,
-0.55438232421875,
0.44496604800224304,
-0.3765068054199219,
0.38368067145347595,
-0.27001458406448364,
-0.019399281591176987,
0.5849765539169312,
-0.6042269468307495,
-0.5487258434295654,... |
Definition: In this task, you are given a question. You have to answer the question based on your information.
Input: Saturn 3 had a screenplay written by the novelist best known for which 1984 novel?
Output: | Money | 2 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
-0.23391297459602356,
0.6220499277114868,
-0.1779402643442154,
-1.3597265481948853,
-0.015051155351102352,
0.7103747129440308,
0.5468127727508545,
0.26740148663520813,
0.3516070544719696,
-0.3533511459827423,
-0.032635532319545746,
1.1431167125701904,
-0.40615540742874146,
-0.6326144933700... |
Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear view tow... | Neutral
****
| 4 | NIv2 | task420_persent_document_sentiment_classification | fs_opt | [
0.13709548115730286,
0.11050750315189362,
-0.4678898751735687,
0.32402724027633667,
0.7298957109451294,
-0.6289831399917603,
0.9524217844009399,
0.7374663352966309,
0.09289660304784775,
0.4043564796447754,
0.5885531902313232,
0.23252955079078674,
0.12106228619813919,
0.010008303448557854,
... |
Instructions: This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a sentence and th... | Solanum | 3 | NIv2 | task1413_dart_object_identification | zs_opt | [
-0.15200641751289368,
0.656801700592041,
-0.3599892854690552,
0.11873231828212738,
-0.27799874544143677,
-0.31593844294548035,
0.49820026755332947,
0.6374127268791199,
0.160213440656662,
-0.4494282305240631,
-0.5187282562255859,
-0.03526891767978668,
-0.31285935640335083,
0.161457151174545... |
Q: This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning... | How many games had the Saints lost before this game? | 7 | NIv2 | task026_drop_question_generation | zs_opt | [
0.7736601233482361,
-0.014856415800750256,
-0.6784564256668091,
0.5146421194076538,
0.15334518253803253,
-0.1291462630033493,
0.40375247597694397,
0.37802618741989136,
0.2903751730918884,
0.2138688713312149,
-0.5064668655395508,
0.3953370451927185,
-0.7879871129989624,
-0.0158853642642498,... |
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.
[EX Q]: What is the history of government?
[EX A]: What is the history of the government of Nepal?
[EX Q]: Is there a free internet trick for afghanistan's s... | How much of the blockchain trend is a hype? How much real potential has the technology?
| 6 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
-1.3846672773361206,
0.8259435892105103,
0.5359727740287781,
-0.784321665763855,
-0.6283403635025024,
-0.24744747579097748,
1.314061164855957,
0.6843643188476562,
-0.08204498142004013,
0.19551317393779755,
-0.4922769069671631,
0.2847806513309479,
-0.4014848470687866,
-0.05255522578954697,
... |
instruction:
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
question:
Context: To determine whether testosterone levels change as women with the polycystic ovary syndrome (PCOS) grow older.', 'A ... | Hypothyroidism is associated with low EPC counts. Treatment with LT4, but not Se, can improve EPC counts.
| 9 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.5797731876373291,
-0.11152728646993637,
-1.0982625484466553,
0.0789087563753128,
0.35391366481781006,
-0.6252869963645935,
1.0085296630859375,
0.8873101472854614,
-0.0427841953933239,
0.03507882356643677,
-1.2007603645324707,
0.04996173828840256,
-0.35850289463996887,
0.33358845114707947... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | [['s', 'K', 'n', 'O', 'N'], ['s', 'K', 'n', 'O', 'u'], ['s', 'K', 'n', 'N', 'u'], ['s', 'K', 'O', 'N', 'u'], ['s', 'n', 'O', 'N', 'u'], ['K', 'n', 'O', 'N', 'u']]
| 1 | NIv2 | task208_combinations_of_list | fs_opt | [
-0.06546899676322937,
0.35097581148147583,
-0.9493263363838196,
0.7157478332519531,
0.5803093910217285,
-0.5784499645233154,
0.4916048049926758,
0.9241033792495728,
-0.4596831798553467,
0.36793291568756104,
-0.3787190020084381,
-0.15035930275917053,
-0.4833640456199646,
0.02538691461086273... |
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 two classes: religious or non-political religious on the top... | non-religious
| 5 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | fs_opt | [
-0.3715052604675293,
-0.16901861131191254,
0.2403516173362732,
0.24482521414756775,
-0.5377891659736633,
-0.18231213092803955,
0.1415630429983139,
0.19442138075828552,
-0.13704539835453033,
0.045391764491796494,
-0.3359430134296417,
-0.27726849913597107,
-0.20618516206741333,
-0.9196915626... |
Instructions: Given a sentence in Italian, generate a new Italian 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 proba... | Se volete mangiare in un ristorante allora dovreste portare i soldi. | 3 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.29284659028053284,
0.9401446580886841,
-0.039958126842975616,
0.02428637258708477,
-0.31158894300460815,
0.06455609202384949,
0.5625205039978027,
1.3358503580093384,
-0.08804821968078613,
-0.5793624520301819,
-0.8854181170463562,
0.5202873945236206,
-0.5791851282119751,
0.10494652390480... |
Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: و تمريناتي که بايد ممنوع شوند ، ممنوع ميشوند .
A: | and prohibit practices that should be prohibited . | 9 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-0.13407465815544128,
1.2623399496078491,
-0.3012992739677429,
-0.4931934177875519,
-0.030397644266486168,
0.419312059879303,
0.009808570146560669,
0.42386168241500854,
0.33858585357666016,
-0.5396705865859985,
-1.2065213918685913,
0.08599495887756348,
0.16593140363693237,
0.37160524725914... |
TASK DEFINITION: In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an anaphor number agreement or as an incorrect representation. An anaphor is an expression whose interpretation depends upon another expression. Anaphor number agreement is a restriction... | bad
| 8 | NIv2 | task1560_blimp_binary_classification | fs_opt | [
0.09755866229534149,
0.45774006843566895,
-0.10350028425455093,
-0.5081555843353271,
-0.8706790208816528,
-0.053274866193532944,
0.9462956786155701,
0.34823882579803467,
0.3171507716178894,
-0.567062497138977,
-0.6740344166755676,
-0.038040366023778915,
-0.8223038911819458,
0.1297054886817... |
Given the task definition and input, reply with output. 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].
Verify if the sentiment of the following document to... | no | 5 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
-0.7903851866722107,
-0.19026418030261993,
-0.17999312281608582,
0.6535708904266357,
0.22490093111991882,
0.4566863179206848,
0.9310826063156128,
0.4520137906074524,
0.12438428401947021,
0.49412620067596436,
0.5268257856369019,
0.8462615013122559,
-0.39545366168022156,
-0.24889950454235077... |
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 lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up th... | [-47, -146, 22, 89, -60, 32, 11] | 1 | NIv2 | task122_conala_list_index_addition | zs_opt | [
0.3511069715023041,
0.1804385781288147,
-0.4881356954574585,
-0.31354445219039917,
0.1820644587278366,
0.267509400844574,
0.8645694255828857,
0.2834495007991791,
0.018041810020804405,
0.14723318815231323,
-0.543599545955658,
0.12343665212392807,
0.009132841601967812,
-0.3499015271663666,
... |
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Q: Event:PersonX changes PersonX's nature. Intent: 1) to g... | lack of acceptance | 4 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.07681489735841751,
0.13287052512168884,
-0.4203020930290222,
-0.5764005184173584,
-1.1688766479492188,
-0.8468136787414551,
1.0890867710113525,
0.26307034492492676,
0.2953636944293976,
-0.6229954957962036,
0.5380200147628784,
-0.20024114847183228,
-0.8219807147979736,
0.1366444230079651,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
স্তন্যপান সম্পর্কে অভিভাবকদের স... | ज्या ज्या वेळी, विकास आणि परंपरा व पर्यावरण यांच्यात संघर्ष निर्माण झाला, त्या त्या वेळी जगाला त्याची उत्तरे भूतानकडून मिळाली आहेत. | 0 | NIv2 | task1061_pib_translation_bengali_marathi | fs_opt | [
-0.6734834909439087,
0.5169171690940857,
-0.4041758179664612,
-0.05498555302619934,
-1.1365745067596436,
-0.40271076560020447,
0.5032660961151123,
0.6723863482475281,
0.34465688467025757,
-0.45209693908691406,
-0.6245768070220947,
0.20198199152946472,
-0.5346565246582031,
0.224432617425918... |
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.
[EX Q]:... | fly Antonym ride
| 6 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
0.23407775163650513,
0.741507887840271,
0.4474031627178192,
-0.8129092454910278,
-0.2747849225997925,
-0.714965283870697,
0.8313025236129761,
0.3529542088508606,
0.02658439800143242,
-0.3522075414657593,
-0.7793591022491455,
-0.15478599071502686,
-1.2440235614776611,
-0.1486363410949707,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Q: Usiamo anche la risonanza magnetica funzionale, chiamata FMRI, per fare dei video, dei filmati, sull'attività cerebrale dei pazienti mentre sono impegnati a svolgere dei compiti come ad esempio pensare, sentire, o perc... | Por fin as levei a revelar e gustaríame darchas "". Esta fotografía nunca foi devolta á xente que a perdera, pero este segredo impactou en moitas vidas, empezando cun estudante de Canadá chamado Matty.
****
| 4 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.06981310993432999,
0.2127079963684082,
-0.19636452198028564,
-0.5984653234481812,
-0.27413615584373474,
-0.39674967527389526,
0.847873330116272,
0.8377740383148193,
-0.11674587428569794,
-0.33797842264175415,
-0.2931453585624695,
0.32489752769470215,
-0.28501981496810913,
0.831656336784... |
Detailed Instructions: Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
Q: A chemical equation is a symbolic representation of a chemical reaction. It is a shorthand way of showing how atoms are rearranged in the reaction. The general form o... | symbolic representation of a chemical reaction | 9 | NIv2 | task470_mrqa_question_generation | zs_opt | [
1.0464818477630615,
0.9547845125198364,
-0.667667806148529,
-0.571340799331665,
0.9051678776741028,
-0.4458603858947754,
0.4999336004257202,
1.1159803867340088,
-0.26654312014579773,
-0.13583159446716309,
-0.5271073579788208,
-0.29224923253059387,
-0.3343448042869568,
0.21586692333221436,
... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surpris... | No emotion,No emotion,surprise,happiness,No emotion,happiness,No emotion,happiness,happiness,No emotion,No emotion,No emotion,No emotion,No emotion,happiness
| 3 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.5162922739982605,
-0.13929495215415955,
-0.5183408260345459,
0.1102663055062294,
0.4809575080871582,
-1.1050207614898682,
0.9693423509597778,
0.2741985023021698,
-0.75651615858078,
0.07779383659362793,
0.22790825366973877,
0.014244399033486843,
-0.7303669452667236,
0.43060579895973206,
... |
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