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: The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Problem:Topic: We should end mandatory retirement<sep>Ar... | True | 8 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
0.32007452845573425,
0.7056944370269775,
0.014299539849162102,
-0.27562323212623596,
-0.35805031657218933,
-0.5822687745094299,
0.6794447898864746,
0.24204275012016296,
0.6513863801956177,
0.011553068645298481,
0.03662605956196785,
-0.11948386579751968,
-0.27998948097229004,
0.112440332770... |
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 an article and an answer. Your task is to generate the question for the answer based on the given article.
Article: There are a lot of public libraries in Britain. These l... | How do dogs bring happiness and health to humans according to the author? | 0 | NIv2 | task311_race_question_generation | fs_opt | [
0.47581806778907776,
0.248489648103714,
-0.0866117924451828,
-0.4397640824317932,
1.0150537490844727,
-0.7185875177383423,
0.6477823257446289,
0.3223153352737427,
0.10722246766090393,
-0.8118975758552551,
-0.4183574914932251,
0.767103910446167,
-1.0001540184020996,
0.4237818121910095,
0.... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three... | red_suitcase | 0 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.22632905840873718,
-0.6118708848953247,
0.04896637052297592,
0.28459280729293823,
-0.019922887906432152,
-0.1850433349609375,
0.2507706880569458,
0.5121987462043762,
-0.3777849078178406,
0.36907655000686646,
0.6507290601730347,
0.1798892319202423,
-0.0997711792588234,
0.4399292469024658,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
Q: و كنت جاثية ، وكنت محطمة ، وكنت غاضبة.
A: | E eu estava no chão, despedaçada, e estava chateada. | 4 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
-0.24724969267845154,
0.8315800428390503,
-0.10704231262207031,
-0.32523173093795776,
0.0443120077252388,
-0.9560550451278687,
0.22469688951969147,
0.6547279357910156,
0.41167327761650085,
0.0916329100728035,
-0.5410422086715698,
-0.4813348054885864,
-0.291252464056015,
-0.0414752103388309... |
Given a fact, create a question that can be answered using the fact. Construct the question such that it is unambiguous, has a unique answer and the answer can be given using the fact.
Q: Fact: solar energy is an inexhaustible resource
A: A person needs to make a stove run with only energy that will run forever, so t... | Just like with humans, if another organism consumes more calories than it burns off, it will inevitably?
****
| 4 | NIv2 | task1398_obqa_question_generation | fs_opt | [
0.0837734043598175,
1.0610451698303223,
-0.637660026550293,
0.08626676350831985,
-0.5205580592155457,
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0.6988327503204346,
0.9907858371734619,
0.0016741594299674034,
-0.49893754720687866,
-0.16846716403961182,
0.12708431482315063,
-0.9734477996826172,
-0.2198759764432907... |
You will be given a definition of a task first, then some input of the task.
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 ... | A peace agreement was signed with the government of Sudan how many years before they decided to withdraw? | 1 | NIv2 | task026_drop_question_generation | zs_opt | [
0.695478081703186,
0.352830708026886,
-0.31912076473236084,
0.2520996332168579,
0.22822269797325134,
-0.33988088369369507,
0.9159283638000488,
0.28631097078323364,
-0.5906123518943787,
0.7700105905532837,
-0.3659198582172394,
0.4042873978614807,
-0.24656715989112854,
0.3525693416595459,
... |
Instructions: In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence ... | A plane with passengers tacking down a runway. | 3 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.6092420816421509,
0.35983267426490784,
-0.3630313277244568,
-0.5212539434432983,
-0.3456503748893738,
-0.26752740144729614,
0.12830127775669098,
0.5610834956169128,
-0.11788998544216156,
0.08359844982624054,
-0.6335779428482056,
0.16547583043575287,
-0.08461274951696396,
-0.071400359272... |
Definition: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'... | No | 2 | NIv2 | task227_clariq_classification | zs_opt | [
-0.2572392523288727,
-0.3019151985645294,
-0.3144546151161194,
0.1030874252319336,
-0.41123664379119873,
-0.36944717168807983,
0.725628137588501,
-0.16456829011440277,
0.33339640498161316,
-0.42452722787857056,
0.12785808742046356,
0.09345291554927826,
-0.476415753364563,
-0.13362894952297... |
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... | a | 4 | NIv2 | task213_rocstories_correct_ending_classification | zs_opt | [
-0.34200984239578247,
0.3022458553314209,
0.43307602405548096,
-0.19734233617782593,
0.06737935543060303,
0.2572386860847473,
0.3265305757522583,
0.8418147563934326,
0.45955270528793335,
-0.1451912820339203,
-0.8331236839294434,
-0.264472097158432,
-0.00465778773650527,
0.17029356956481934... |
Teacher:In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questio... | Question: Who is Alvin?, Answer: School bully. | 6 | NIv2 | task182_duorc_question_generation | zs_opt | [
0.953567385673523,
0.7981497645378113,
-0.13482242822647095,
-0.7223454713821411,
0.521716833114624,
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1.0140931606292725,
0.8181769847869873,
-0.35075315833091736,
-0.2907126545906067,
0.09091797471046448,
0.49730777740478516,
-0.7957411408424377,
0.21396301686763763,
... |
Teacher:Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produ... | Light is made of photons . | 6 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
0.3528267443180084,
0.8547420501708984,
-0.1290879249572754,
-0.4940941035747528,
-0.526164174079895,
-0.8486988544464111,
-0.004460802301764488,
1.0125209093093872,
0.07536660134792328,
-0.30274534225463867,
-0.9172605276107788,
0.523639976978302,
-0.6057847142219543,
0.09104475378990173,... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
Q: ['x', '8389', ... | 3, 5, 6, 9, 15, 16, 17, 18, 19, 20, 22, 25, 29, 30, 31, 33, 36
****
| 4 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.490955114364624,
0.26118314266204834,
-0.5141597986221313,
-0.60825115442276,
-0.21732670068740845,
-0.14422646164894104,
0.6812820434570312,
0.0763009786605835,
-0.7311409711837769,
0.3760673403739929,
-0.6306034326553345,
0.0177517831325531,
-0.3841441869735718,
-0.05967918410897255,
... |
Given the task definition and input, reply with output. In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Statement: ... | 1 | 5 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
-0.2504619061946869,
0.8078281283378601,
0.029478251934051514,
-0.13942626118659973,
0.41524142026901245,
-0.15891516208648682,
-0.4068571627140045,
0.4073673486709595,
0.04402913898229599,
0.4323536157608032,
-0.40664413571357727,
-0.4495883882045746,
-0.12836134433746338,
-0.503847002983... |
Q: You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Personality: My mom is my best friend.
I have four sisters.
I believe that mermaids are re... | I enjoy hanging with my mother she's my best friend. | 7 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.47552651166915894,
0.651611328125,
-0.4341616928577423,
-0.31908199191093445,
-0.05618858337402344,
-0.2384239137172699,
1.339510440826416,
-0.07437025010585785,
0.17555475234985352,
0.11542266607284546,
0.005219962447881699,
-0.6339619755744934,
-0.37857580184936523,
-0.237861320376396... |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such poor... | Solution: negative | 5 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.28124910593032837,
-0.13411381840705872,
0.3325631022453308,
-0.47613346576690674,
0.029985178261995316,
-0.35800397396087646,
0.9294265508651733,
0.4123077988624573,
-0.007823667488992214,
0.7856254577636719,
-0.25310224294662476,
0.07494126260280609,
-0.4638681709766388,
-0.2803680002... |
Detailed Instructions: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers i... | [-15360, 32, 0, 880, 576, -14] | 4 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
0.374196320772171,
-0.12311629951000214,
-0.8677226305007935,
-0.0034947681706398726,
0.40767186880111694,
-0.628201961517334,
1.0725586414337158,
0.6680096387863159,
-0.5095748901367188,
-0.35946089029312134,
-0.8176125884056091,
0.1337396204471588,
-0.2565293312072754,
-0.264110922813415... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Problem:ניקח לדוגמה ארץ אחת ויחידה באפריקה, סנגל.
Solution: | لناخذ دولة واحده في افريقيا, السنغال. | 8 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.5166007280349731,
0.6045472621917725,
0.446306049823761,
-0.7930329442024231,
-0.488366961479187,
-0.36634182929992676,
1.4480869770050049,
0.02130940556526184,
0.4149646759033203,
0.17778797447681427,
-0.6390519142150879,
-0.5002716183662415,
-1.0113639831542969,
0.17849420011043549,
... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a ... | green_drawer
| 3 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
0.041104983538389206,
-0.5613728761672974,
-0.48181939125061035,
0.11343717575073242,
-0.06509354710578918,
-0.7325886487960815,
-0.1474880427122116,
0.5074558854103088,
-0.2798502445220947,
-0.10107795894145966,
-0.1987992525100708,
0.2564530074596405,
-0.01869271881878376,
-0.08935141563... |
A text is given in Marathi. Translate it from the Marathi language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: भारत आणि ब्राझील यांचा सामायिक वारसाचा विचार करता हा करार उभय देशांसाठी अतिशय महत्वाचा ठरेल.
A: యావత్తు లేటిన్ అమెరికా, ఇంకా కరీబియన్ ప్రాంతాల లో ... | సేంద్రియ వ్యవసాయం లో సిక్కిమ్ సాధించిన ప్రగతి ని గురించి ప్రధాన మంత్రి తన ప్రసంగం లో పేర్కొన్నారు.
****
| 4 | NIv2 | task1027_pib_translation_marathi_telugu | fs_opt | [
-0.3852611780166626,
1.1965274810791016,
0.1252022683620453,
0.15518149733543396,
-0.27805280685424805,
-0.6166507005691528,
0.33676689863204956,
0.9086663722991943,
-0.6416213512420654,
0.06440912187099457,
-0.050197239965200424,
-0.06814086437225342,
-0.09364822506904602,
-0.272888988256... |
Part 1. Definition
A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
Part 2. Example
તેમણે કહ્યું કે ભિલાઈ સ્ટીલ પ્લાન્ટે દેશના નિર્માણમાં સિંહફાળો આપ્યો છે
Answer: उन्होंने कहा कि भाई इस्पात संयंत्र ने ... | उद्यमियों के लिए बिना गारंटी 50 लाख रुपए तक के ण की योजना भी लाई जाएगी। | 7 | NIv2 | task1033_pib_translation_gujarati_hindi | fs_opt | [
-0.7028558850288391,
0.18516948819160461,
0.08282352983951569,
-0.28307339549064636,
0.09497329592704773,
-0.7624932527542114,
0.650331974029541,
0.533974289894104,
-0.8991703987121582,
0.21794377267360687,
-0.8552212715148926,
0.0731358528137207,
-0.39319974184036255,
0.1404644399881363,
... |
This task is to translate the Telugu Language Input to English Language Output
Input: Consider Input: టెల్: + 86-22-66863746
Output: Tel:+86-22-66863746
Input: Consider Input: 12:17, అంగ _ cumshots _ టీనేజ్
Output: 12:17, anal _ cumshots _ teens
Input: Consider Input: ప్రజలు ఏమంటున్నారు:
| Output: What people are saying:
| 2 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt | [
-0.19507727026939392,
0.5628796219825745,
0.20091135799884796,
-0.273894339799881,
-0.056081611663103104,
-0.21450091898441315,
-0.42633238434791565,
0.04029017314314842,
-0.5115259289741516,
0.3556327223777771,
0.4131685495376587,
0.42981377243995667,
-0.584384560585022,
-0.67224562168121... |
Detailed Instructions: You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about ... | Quantity | 9 | NIv2 | task1289_trec_classification | zs_opt | [
-0.042604465037584305,
-0.6293063759803772,
0.09073979407548904,
-0.03390517830848694,
-0.0876472145318985,
-0.4869691729545593,
-0.21269965171813965,
-0.04869384318590164,
0.23988056182861328,
-0.08557005226612091,
-0.9358606338500977,
-0.2724476754665375,
-0.006249628029763699,
0.1121042... |
Instructions: 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', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8... | [8, 1024, 2048, 2048, 8, 32, 2, 128] | 3 | NIv2 | task1444_round_power_of_two | zs_opt | [
-0.48896241188049316,
1.307788372039795,
-0.15722887217998505,
-0.17105796933174133,
-0.3791196346282959,
0.21281644701957703,
0.6192345023155212,
0.10503654181957245,
-0.35445043444633484,
0.11731866002082825,
-0.8540202975273132,
0.4656178057193756,
-0.3684349060058594,
-0.28970402479171... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
Q: Context: Police intervene #Panathina... | no | 4 | NIv2 | task241_tweetqa_classification | zs_opt | [
-0.18281175196170807,
-0.34123408794403076,
-0.21821007132530212,
0.4955153465270996,
0.12065494805574417,
-0.7386683225631714,
0.5164451599121094,
-0.31934553384780884,
0.47254109382629395,
0.42048072814941406,
-0.3860183656215668,
0.3590192198753357,
-0.49172529578208923,
-0.408328354358... |
Q: Given a sentence in Bulgarian, generate a new Bulgarian 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 ... | Най-вероятно ще намерите място за живеене в хотел. | 7 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
-0.27913159132003784,
0.4123479425907135,
-0.11484672129154205,
-0.6062449216842651,
-0.3978792726993561,
-0.5708093643188477,
1.1895067691802979,
1.0947504043579102,
0.7099192142486572,
-0.8851367235183716,
-0.6686344146728516,
0.8189455270767212,
-0.8441236615180969,
0.028728177770972252... |
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 statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the i... | Answer: none | 0 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
0.24008741974830627,
0.08940994739532471,
-0.6247076988220215,
0.19824427366256714,
0.3036654591560364,
-0.28177836537361145,
0.22625485062599182,
0.7110728025436401,
0.3113864064216614,
0.08484046161174774,
-0.3217101991176605,
0.07609112560749054,
-0.8806518912315369,
0.20103055238723755... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: これからの5000日、ウェブが進歩するだけではなく全く別なものが現れます
Student: | ال 5,000 يوماً القادمة — لن تصبح الويب فقط ، وتتحسن فقط; ستكون شئ مختلف. | 6 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
-0.5629764795303345,
-0.26978400349617004,
0.4854312241077423,
-0.27726083993911743,
-0.148975670337677,
0.771525502204895,
0.31151044368743896,
0.0942213386297226,
0.24534200131893158,
0.37806886434555054,
-0.10677166283130646,
-0.07147739082574844,
-0.7163716554641724,
-0.047229390591382... |
Given the task definition and input, reply with output. In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect... | 1a, 2b | 5 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
0.2634863555431366,
0.517709493637085,
-0.2547184228897095,
-0.07274572551250458,
-0.1100793406367302,
0.33413082361221313,
0.2776276171207428,
1.030458927154541,
-0.05834215134382248,
0.08326129615306854,
-0.634757936000824,
-0.29158222675323486,
0.131319060921669,
-0.4534458816051483,
... |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Against
| 7 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
-0.10250736773014069,
0.7128919363021851,
-0.09831852465867996,
0.3331892192363739,
-0.3738303780555725,
-1.0998051166534424,
0.688163697719574,
0.7004979252815247,
-0.1668006032705307,
0.07846145331859589,
-0.6822130084037781,
0.3509896695613861,
-0.23773989081382751,
0.10934294015169144,... |
Given a text, write a compressed version of it in a single sentence.
One example is below.
Q: Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, " says APA president Philip G. Zimbardo of Stanford University.
A: "Except for this small vocal minority, we have no... | Your gift may be closed your area of choice. Please indicate the specific research on the form. | 9 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
-0.5698574781417847,
0.627961277961731,
0.42799657583236694,
-0.1684151440858841,
-0.06542720645666122,
-1.9660714864730835,
0.2896357774734497,
0.4904311001300812,
-0.14651204645633698,
0.3477349877357483,
-0.1931379735469818,
0.2975134253501892,
-0.2654876708984375,
-0.2364884465932846,
... |
Detailed Instructions: In this task, you are given a sentence in Arabic, and your task is to translate it into English.
Q: هي تركتني الشهر الماضي من اجل رجل اخر
A: | She left me last month for another guy. | 9 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
0.39798322319984436,
0.7500806450843811,
-0.6932532787322998,
-0.6838922500610352,
0.23971331119537354,
-1.06695556640625,
-0.031189000234007835,
0.11459703743457794,
0.15822356939315796,
-0.2600424587726593,
0.08146605640649796,
0.02346295304596424,
-0.3063194155693054,
0.3765974342823028... |
Given the task definition, example input & output, solve the new input case.
The task is to generate text based off 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 intent behind doing the event, i.e. why did the person do th... | to show appreciation | 1 | NIv2 | task1596_event2mind_text_generation_2 | fs_opt | [
-0.33461278676986694,
0.6688311100006104,
0.08777837455272675,
-0.16194495558738708,
-0.14041854441165924,
-0.4609883725643158,
0.8700487613677979,
0.5763022303581238,
0.21019476652145386,
-0.3845241069793701,
-0.1763915717601776,
-0.2295292466878891,
-0.43604347109794617,
0.31188237667083... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Example Input: به عنوان زیر ساخت ، بگذارید فقط یک مثال بزنیم.
Example Output: בנוגע לתשתית, הבה ניקח רק דוגמה אחת.
Example Input: و وقتی که دست از شکایت کشیدم از اینکه انصاف نیست که مسیح بر گردد درست همان وقتی که تازه مسئول ... | אז כחברה עומדת בפנינו שאלה: הטכנולוגיה יוצרת את הפרדוקטיביות החדשה הזו, אבל מי משתתף בה?
| 3 | NIv2 | task1269_ted_translation_fa_he | fs_opt | [
-0.5293864607810974,
0.9394006729125977,
-0.19022923707962036,
0.33436816930770874,
-0.4643516540527344,
0.2868506610393524,
0.8206084966659546,
0.8671140670776367,
0.1751147210597992,
-0.09148892760276794,
-0.8762260675430298,
0.602562665939331,
-0.17876869440078735,
0.041504014283418655,... |
Translate from English to Hindi.
Yes, and I want it back.
हाँ, और मैं इसे वापस चाहता हूं.
Duettino from The Marriage Of Figaro
♪ फिगरो की शादी से गीत ♪
A walk and a talk that just wasn't normal around here.
| हलकी फुलकी चाल और बात यहाँ सामान्य नहीं था.
| 0 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
0.4250919818878174,
0.7736819982528687,
-0.2632814049720764,
0.5013045072555542,
0.14603060483932495,
-0.20069369673728943,
0.7169310450553894,
0.29975736141204834,
-0.61431884765625,
-0.5204580426216125,
-0.8790372610092163,
0.4615272879600525,
-0.9051938056945801,
0.3669263422489166,
-... |
Teacher:Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_... | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF',... | 6 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
-0.17464831471443176,
-0.012866775505244732,
0.29890936613082886,
-0.4456256628036499,
0.19182080030441284,
-0.38344383239746094,
0.3611130118370056,
0.7441412210464478,
-0.2751103341579437,
0.08701500296592712,
-0.011774390935897827,
-0.16997021436691284,
-0.3692389726638794,
-0.366040676... |
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in th... | show last flight from philadelphia to boston | 3 | NIv2 | task184_break_generate_question | fs_opt | [
0.8162087202072144,
-0.028523029759526253,
-0.5789996385574341,
0.04797550290822983,
0.56780606508255,
-0.3637884259223938,
1.0903379917144775,
0.28557300567626953,
-0.5873374938964844,
0.6348080635070801,
-0.3194848299026489,
0.6820782423019409,
0.022876687347888947,
0.3307793438434601,
... |
Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., sug... | yes
| 3 | NIv2 | task115_help_advice_classification | fs_opt | [
0.37260621786117554,
0.7027464509010315,
0.09201905131340027,
-0.06733420491218567,
0.22995752096176147,
-0.9236913919448853,
0.6629205942153931,
0.7575451135635376,
-0.1028127670288086,
0.15280121564865112,
-0.5729641914367676,
-0.19760994613170624,
-0.6110677719116211,
-0.563098192214965... |
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".
Let me give you an example: Katrina gave Christine a stuffed animal for their birthday, but _ already had this one. (A) Katrina (B) Christine
The answer ... | A | 8 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.10549351572990417,
0.4202055335044861,
-0.22551177442073822,
-0.482858270406723,
-0.18768972158432007,
-0.5593067407608032,
0.506188154220581,
0.8512350916862488,
0.04562630504369736,
0.19391414523124695,
0.7423608303070068,
0.40468189120292664,
0.009984094649553299,
-0.26137593388557434... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Uno de cada cien. | واحد من المئة. | 0 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
-0.2657836973667145,
0.5669938921928406,
-0.4562450647354126,
-1.023184061050415,
-0.16115354001522064,
0.4847298264503479,
0.8577442169189453,
-0.037698209285736084,
0.03824182599782944,
0.054833583533763885,
-0.5252607464790344,
-0.18168886005878448,
-0.9488483667373657,
0.18174371123313... |
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 does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that m... | a | 3 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
0.40467673540115356,
-0.06966066360473633,
-0.3818127512931824,
-0.11094142496585846,
0.3495157063007355,
-0.6819212436676025,
0.3911375105381012,
1.1616594791412354,
-0.015699107199907303,
0.3878192901611328,
-0.8174437284469604,
0.21679329872131348,
-0.22893595695495605,
0.27486097812652... |
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.
Q: Sentence: 'a pizza sitting on top of a metal pan on a table'. Count the number of consonants in the given sentence.
A: | 21 | 4 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.31706440448760986,
0.5072439908981323,
-0.697648823261261,
-0.49096107482910156,
-0.12496448308229446,
0.04073173180222511,
-0.3298439681529999,
0.5816227197647095,
0.08081117272377014,
-0.1728062629699707,
0.14750486612319946,
-0.09345130622386932,
-0.19490905106067657,
-0.0304623860865... |
Teacher:In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Teacher: Now, understand the problem? Solve this instance: Sentence 1: ... | yes | 6 | NIv2 | task199_mnli_classification | zs_opt | [
-0.7674492597579956,
0.3722251057624817,
0.6523935198783875,
-0.3057209849357605,
-0.05565676838159561,
-0.5100541114807129,
0.3145841360092163,
0.8455708622932434,
0.47218072414398193,
0.14520122110843658,
0.31667399406433105,
-0.6447122097015381,
-0.47913658618927,
-0.5870445966720581,
... |
Translation from English to Telugu.
Example Input: I should get going.
Example Output: L వెళుతున్న పొందాలి.
Example Input: That's it!
Example Output: న కమ్! అది అంటే!
Example Input: Then what?
Example Output: | అప్పుడు ఏమి?
| 3 | NIv2 | task1330_open_subtitles_en_te_translation | fs_opt | [
-0.1297096163034439,
0.8325185179710388,
0.406659334897995,
-0.12518757581710815,
-0.16729821264743805,
-0.4638518691062927,
-0.19777439534664154,
0.7130017280578613,
-0.3252556324005127,
0.330321729183197,
-0.31374943256378174,
0.04338532313704491,
-0.6705282330513,
-0.3616214990615845,
... |
Teacher:Given a scientific passage and an answer, generate a question for the given answer.
Teacher: Now, understand the problem? Solve this instance: Passage: Phototrophs are organisms that capture light energy and convert it to chemical energy inside their cell. Most phototrophs are the autotrophs that perform photos... | Which organisms capture light energy and convert it to chemical energy inside their cell? | 6 | NIv2 | task594_sciq_question_generation | zs_opt | [
0.7709113955497742,
0.5205838680267334,
-0.2342749536037445,
-0.731564462184906,
-0.8057842254638672,
-1.1337213516235352,
0.44138020277023315,
1.1987777948379517,
0.2486880123615265,
-0.6127409338951111,
-0.6699727773666382,
-1.0025222301483154,
-1.3003461360931396,
0.0714079886674881,
... |
Teacher: In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Teacher: Now, understand the problem? If you are still confused, see the following example:
what is the first event mentioned?, Context: The Russian Revolution is the series of revolutions ... | predation | 2 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.8401548862457275,
0.4079204201698303,
-0.7074300050735474,
-0.061276257038116455,
-0.43293723464012146,
0.05268223583698273,
0.2168605625629425,
1.9350359439849854,
0.14743801951408386,
0.05927276611328125,
-0.1399792730808258,
-0.6872819662094116,
-0.5951887369155884,
-0.258105635643005... |
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.
He might have only just learned to write hi... | (F) | 0 | NIv2 | task302_record_classification | zs_opt | [
0.5903576612472534,
0.7961894273757935,
-0.052661143243312836,
0.13457325100898743,
-0.20023569464683533,
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0.8389874696731567,
0.8116076588630676,
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0.013872765004634857,
-0.23309090733528137,
0.26703423261642456,
-0.13844440877437592,
0.3231395781040... |
Q: 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 comma... | I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK | 7 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.1641811728477478,
0.8090786933898926,
-0.3254818916320801,
0.059493616223335266,
-0.005441669374704361,
-0.029861921444535255,
0.06345883011817932,
0.07243959605693817,
-0.043580926954746246,
-0.18529754877090454,
-0.6664693355560303,
-0.26470792293548584,
-0.803184449672699,
-0.17820598... |
Q: 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 does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one tha... | a | 7 | NIv2 | task214_rocstories_incorrect_ending_classification | zs_opt | [
0.29840409755706787,
0.4097128212451935,
0.1274949312210083,
0.18461476266384125,
0.02175479382276535,
-0.001237749122083187,
0.44562000036239624,
1.3241163492202759,
0.399164617061615,
0.07448362559080124,
-0.3174353539943695,
0.6686349511146545,
-0.1489984393119812,
-0.3690360188484192,
... |
Given the task definition and input, reply with output. In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, outp... | Answer: none | 5 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
-0.557955801486969,
0.7986791133880615,
-0.3094817101955414,
0.06125198304653168,
-0.4658641219139099,
0.4405101537704468,
0.8113982677459717,
0.36868909001350403,
0.028804199770092964,
-0.6726747155189514,
-0.36385709047317505,
0.22545543313026428,
-0.8385509252548218,
-0.1980637907981872... |
In this task you are given a tweet that contains some form of irony. You must classify the type of irony the tweet has. Label the tweets ("polarity","situational","other") based on the irony they have. Situational irony happens when a situation fails to meet some expectations, Label these instances as "situational". po... | situational | 8 | NIv2 | task387_semeval_2018_task3_irony_classification | fs_opt | [
-1.371991753578186,
0.43162816762924194,
0.8814426064491272,
-0.08509846031665802,
-0.1879117786884308,
0.29180559515953064,
0.5408198833465576,
0.4476097822189331,
0.3411518335342407,
-0.21539051830768585,
-0.3972547948360443,
-0.17967911064624786,
-0.34520530700683594,
0.1814185678958892... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | green_bottle | 6 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.50120609998703,
-0.639701783657074,
-0.3260859251022339,
0.012185778468847275,
-0.023288171738386154,
-0.2379913032054901,
0.18563038110733032,
0.6045358777046204,
0.13458535075187683,
0.31412532925605774,
0.03977176174521446,
0.2692261040210724,
0.10251325368881226,
0.15729717910289764,... |
Detailed Instructions: Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasona... | Вы, скорее всего, сдадите банку в свою дыру. | 9 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
0.1454799473285675,
0.49901485443115234,
-0.2837526798248291,
-0.18504279851913452,
-0.7820336818695068,
-0.069208525121212,
0.7835626602172852,
1.055427074432373,
0.33573228120803833,
-0.31599193811416626,
-0.4213547110557556,
0.04477890580892563,
-0.636212944984436,
0.4726276993751526,
... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
One example is below.
Q: Review: My cat won't touch these. M... | False | 9 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.5021995902061462,
0.002054902259260416,
0.24719035625457764,
-0.7261806130409241,
0.1037459447979927,
-0.5545885562896729,
0.1674708127975464,
0.6136509776115417,
-0.420863538980484,
0.3141920566558838,
-0.1857568919658661,
-0.05567871779203415,
-0.7160484194755554,
-0.01333259604871273... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Optio... | Option 1 | 3 | NIv2 | task065_timetravel_consistent_sentence_classification | fs_opt | [
0.19725975394248962,
0.24120917916297913,
-0.6650308966636658,
0.15265534818172455,
0.2461707890033722,
-0.02852620556950569,
0.3069874942302704,
0.9447071552276611,
0.6524534225463867,
-0.05763377621769905,
-0.273375004529953,
-0.021901177242398262,
-0.39542701840400696,
-0.40907886624336... |
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | Een kind kan een zandbus bouwen. | 0 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.636178731918335,
1.1336623430252075,
0.08093082159757614,
-0.5856196284294128,
-0.5634415149688721,
-0.5380069017410278,
0.4282741844654083,
0.5208779573440552,
0.09500617533922195,
-0.5929199457168579,
-0.3371047079563141,
0.8007013201713562,
-1.104080080986023,
0.2967912256717682,
-... |
Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | Een theorie is gemaakt van regels.
| 1 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.22200360894203186,
0.7669401168823242,
-0.21721339225769043,
-0.1954185962677002,
-0.2511073350906372,
-0.03037363849580288,
0.3715595006942749,
0.5540119409561157,
0.3784429430961609,
-0.06015075370669365,
-0.8421454429626465,
0.27170753479003906,
-0.7611355781555176,
0.336166858673095... |
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "agai... | none | 8 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
-0.43579715490341187,
0.21271848678588867,
-0.8164843916893005,
-0.09588897228240967,
-0.6645231246948242,
-1.2620301246643066,
0.39292001724243164,
1.1843537092208862,
-0.268313467502594,
-0.05359160900115967,
-0.42942002415657043,
0.07850421220064163,
-1.210014820098877,
0.17851814627647... |
Given the task definition and input, reply with output. In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick... | 2 | 5 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
-0.41154903173446655,
0.7109167575836182,
0.1179131418466568,
-0.05203085392713547,
-0.638960599899292,
-0.24308618903160095,
-0.09113026410341263,
0.6053540706634521,
0.07764413207769394,
-0.16555853188037872,
-0.8772485256195068,
0.10421926528215408,
-0.4560721516609192,
-0.2635304927825... |
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
Example ... | Place saran wrap over opening before closing with lid. | 3 | NIv2 | task080_piqa_answer_generation | fs_opt | [
-0.1417546570301056,
0.8272356986999512,
-0.7138902544975281,
-0.10276874899864197,
-0.33965426683425903,
-0.22258546948432922,
-0.25041428208351135,
0.5264962911605835,
0.07647049427032471,
0.4075653851032257,
-0.0884123146533966,
0.5266743302345276,
-0.39634382724761963,
0.13860316574573... |
Instructions: Given a sentence in English(en), generate a translation of that sentence in Hindi(hi) without changing the meaning of the input sentence as the output
Input: You will be happy to note that in a year, more than 26 lakh tourists visited the 'Statue of Unity'.
Output: | आपको ख़ुशी होगी एक वर्ष में, 26 लाख से अधिक पर्यटक, Statue o nity को देखने के लिए पहुचें | 3 | NIv2 | task1654_mkb_translation | zs_opt | [
-0.36196064949035645,
-0.21220819652080536,
-0.3335196375846863,
0.49365538358688354,
-0.2534559965133667,
-1.3055875301361084,
-0.9787298440933228,
-0.09679242968559265,
-0.17787230014801025,
-0.23379313945770264,
-0.26888343691825867,
-0.3132363557815552,
0.4976901412010193,
-0.120269373... |
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... | NN | 5 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
-0.08114300668239594,
0.11437392234802246,
-0.5981921553611755,
0.8438379764556885,
-0.6202795505523682,
-0.6764870882034302,
0.8686510324478149,
0.5296552777290344,
-0.06669670343399048,
-0.11661026626825333,
-0.30834436416625977,
0.5859524011611938,
-0.4955660402774811,
-0.18712773919105... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Example Input: E atopamos a poboación dos Estados Unidos con unha vida máis longa entre os adventistas do sétimo día que se concentran en torno a Loma Linda, California.
Example Output: ומצאנו את האוכלוסייה המאריכה-חיים ב... | בניגוד להם, העניים והאנשים הכי פגיעים בחברה משתמשים במכשירים שמשאירים אותם לגמרי פגיעים למעקב.
| 3 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.39184099435806274,
0.19217288494110107,
-0.0450017973780632,
0.08264045417308807,
-0.8847112059593201,
-0.616315484046936,
0.34683531522750854,
0.6128965616226196,
-0.24740120768547058,
-0.07160679996013641,
-0.443952351808548,
0.22486837208271027,
-0.5614646077156067,
-0.29503929615020... |
instruction:
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
question:
Context: Ash attempted to take Addison's test which was harder.
Answer: wanting to take a harder test
answer:
H... | How would Bailey feel as a result?
| 9 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
-0.13131436705589294,
0.8007646203041077,
0.4349433481693268,
-0.7174787521362305,
0.1541050672531128,
-1.5375672578811646,
0.14966145157814026,
0.4242422580718994,
0.5501155853271484,
0.06989775598049164,
-0.4063226282596588,
0.22265098989009857,
-1.2210252285003662,
0.3632081151008606,
... |
Instructions: 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 ... | ppdlwRL, nPdlwVXP | 3 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
-0.10361960530281067,
0.6863971948623657,
-0.3070550560951233,
-0.07409454882144928,
-0.07393084466457367,
0.7683619260787964,
0.5035211443901062,
-0.18166473507881165,
-0.08325989544391632,
0.3462245464324951,
-0.8390787243843079,
-0.41216742992401123,
0.5567313432693481,
-0.2740821540355... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Example input: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Example output: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیق... | کتابها اغلب از منابع شگفت آوری می آمد. | 3 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.24052375555038452,
0.4144226610660553,
-0.5177092552185059,
-0.023045271635055542,
-0.15398845076560974,
-0.42453569173812866,
0.4312913119792938,
0.5398153066635132,
-0.13799920678138733,
-0.5270268321037292,
-0.6458436846733093,
0.12400348484516144,
-0.7844504117965698,
-0.26738417148... |
Given the task definition and input, reply with output. A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
സതി സമ്പ്രദായം നിര്ത്തലാക്കാനും പെണ്ഭ്രൂണഹത്യ ഇല്ലാതാക്കാന് കര്ശന നിയമം ഉണ്ടാക്കാനും ശൈശവ ... | If we can abolish Sati system, make stringent laws against female foeticide and take action against child marriage and dowry, we can also raise our voice against Triple Talaq. | 5 | NIv2 | task1022_pib_translation_malayalam_english | zs_opt | [
-0.5424644947052002,
0.747488260269165,
0.6271967887878418,
-0.15776309370994568,
-0.09065809845924377,
-0.45200249552726746,
0.010343397967517376,
0.28531739115715027,
0.3331700563430786,
0.11793216317892075,
-0.26853838562965393,
-0.1793578565120697,
-0.5815210938453674,
-0.2586982846260... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Q: והשאלות גדלו.
A: | As interrogações aumentavam. | 9 | NIv2 | task1114_ted_translation_he_pt | zs_opt | [
-0.3440389633178711,
0.8844714760780334,
0.020345237106084824,
-0.41817283630371094,
-0.6877478957176208,
0.06936020404100418,
0.1427680402994156,
-0.0029405858367681503,
0.584285318851471,
-0.6429595947265625,
-0.7648838758468628,
-0.2803877592086792,
-0.8936603665351868,
0.45454514026641... |
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.
[Q]: En tant que membres d’un comité consultatif pour l’init... | Важнее то, что они смогут позволить нам выполнить глобальное обещание.
| 5 | NIv2 | task1377_newscomm_translation | fs_opt | [
-0.15681694447994232,
0.18236032128334045,
0.20916160941123962,
-0.46800142526626587,
-0.17744934558868408,
0.25235888361930847,
0.503746509552002,
1.540278434753418,
0.27792179584503174,
-0.05872618407011032,
-0.6058549284934998,
-0.21675416827201843,
-0.4740816056728363,
0.11090067774057... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not men... | An animal. | 0 | NIv2 | task041_qasc_answer_generation | fs_opt | [
0.02795127034187317,
0.5863782167434692,
-0.16374675929546356,
0.5044007301330566,
-0.061029307544231415,
-1.349271297454834,
0.5808013677597046,
0.4874458909034729,
-0.04181235656142235,
-0.11109372973442078,
-1.3000736236572266,
0.11838576197624207,
-0.15676209330558777,
0.15494170784950... |
Given the task definition, example input & output, solve the new input case.
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 pa... | True | 1 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.036290936172008514,
0.48935604095458984,
-0.413071870803833,
0.03551124036312103,
0.49256980419158936,
0.04637332633137703,
0.37977543473243713,
1.3136366605758667,
-0.5666855573654175,
0.9786163568496704,
0.10285043716430664,
0.9127086400985718,
-0.006346098147332668,
0.5494755506515503... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガ... | Si Goody ay isang kontrobersyal na katauhan noong nakaraang taong Big Brother, na humikayat ng higit na 40,000 mga reklamo sa Ofcom, na tagapamahala ng brodkast sa Britanya pagkatapos niyang nagsabi diumano ng mga rasista at mapanirang-puring pahayag sa kapwa kabahay at Indyang selebridad na si Shilpa Shetty. | 1 | NIv2 | task1118_alt_ja_fil_translation | fs_opt | [
0.05973111465573311,
-0.06646685302257538,
-0.5699573755264282,
0.5938745737075806,
0.6484675407409668,
-0.1741904467344284,
0.24755175411701202,
0.5284623503684998,
-0.11863385140895844,
-0.4818001687526703,
-1.0419987440109253,
0.859954833984375,
0.005232570227235556,
0.30769428610801697... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Problem:私は自分で "" 危険な恋 ” を終わらせることができました沈黙を破ったからです
Solution: | من توانستم عشق دیوانه وار خودم را با شکستن سکوت تمام کنم. | 8 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
1.0415197610855103,
0.7720010280609131,
0.4369368553161621,
-0.29172199964523315,
-0.513125479221344,
-0.5079917907714844,
0.19285887479782104,
0.004997549578547478,
0.07956983149051666,
-0.3468012809753418,
-0.6952145099639893,
0.8074814677238464,
-1.3228546380996704,
-0.24211706221103668... |
Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'.
Example Input: YIT Construction and the town of Riihim+Æki have signed a lease contract whereby the town will occupy the Travel Centre office facilities .
Example Outpu... | negative
| 3 | NIv2 | task843_financial_phrasebank_classification | fs_opt | [
-1.2179503440856934,
0.31220507621765137,
0.19652757048606873,
0.04083273559808731,
0.43940654397010803,
0.44694972038269043,
-0.655691385269165,
1.453069806098938,
-0.25875571370124817,
0.04958780109882355,
0.1196097880601883,
1.1398475170135498,
-0.5641536712646484,
-0.5708538293838501,
... |
Teacher: A text is given in English. Translate it from the English language to the Panjabi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
ਸਾਥੀਓ , ਰਾਮਚਰਿਤ ਮਾਨਸ ਵਿੱਚ ਇੱਕ ਚੌਪਈ ਹੈ । ਗੋਸਵਾਮੀ ਤੁਲਸ... | Governor of Manipur, Dr. | 2 | NIv2 | task1008_pib_translation_punjabi_english | fs_opt | [
-0.17537665367126465,
0.7918661832809448,
0.4446992874145508,
-0.7273945212364197,
-0.053318459540605545,
-0.7556114196777344,
0.666852593421936,
0.6287639737129211,
0.07043792307376862,
0.0049940613098442554,
-0.7347947359085083,
-0.09202688187360764,
-0.6105120182037354,
-0.3807385861873... |
Given a paragraph from a Wikipedia article about some topic, and a question related to the topic, determine whether the question is answerable from the paragraph. If the question is answerable, answer "True", otherwise, answer "False".
--------
Question: Kerry said that he had intended the remark as a jab at President ... | False
| 7 | NIv2 | task1640_aqa1.0_answerable_unanswerable_question_classification | fs_opt | [
-0.048528172075748444,
0.520855188369751,
-0.007453214377164841,
-0.18137645721435547,
-0.12992307543754578,
-0.5287002921104431,
1.098229169845581,
0.5828519463539124,
0.3875752389431,
0.5278851389884949,
-0.3329985737800598,
0.48361924290657043,
-0.6325731873512268,
0.5512643456459045,
... |
Teacher: The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Teacher: Now, understand the problem? If you are still confused, see... | anger | 2 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.5885505676269531,
0.16400054097175598,
0.47368043661117554,
-0.8474831581115723,
0.04081296548247337,
-0.10324853658676147,
1.0851695537567139,
0.5503171682357788,
-0.024809494614601135,
-0.046778902411460876,
-0.5146311521530151,
-0.4347287118434906,
-0.6009808778762817,
-0.10523682832... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Reviews: This item was much shorter than I expected it to b... | True | 0 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.5964444279670715,
0.06170593947172165,
0.16254845261573792,
-0.2635663151741028,
-0.3465772271156311,
-0.42405882477760315,
0.7132419347763062,
0.5924041867256165,
-0.3391774296760559,
0.18207591772079468,
-0.7919034957885742,
-0.14504489302635193,
-0.703850507736206,
0.3283326327800751... |
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 coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corp... | PRT | 2 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.5194849967956543,
0.10035888850688934,
-0.24165037274360657,
0.2135968804359436,
-0.21090638637542725,
-0.7698923945426941,
0.5546817183494568,
0.6394264101982117,
-0.16316327452659607,
-0.0025734342634677887,
-0.5757972002029419,
0.17600442469120026,
-0.7559380531311035,
0.3742060065269... |
Detailed Instructions: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tag... | NNP | 4 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.31969350576400757,
0.8784264922142029,
-0.358040988445282,
0.8375983238220215,
-0.19741076231002808,
-0.731533408164978,
0.9268486499786377,
0.4791364073753357,
-0.44907236099243164,
0.3967914283275604,
-0.31223589181900024,
0.14514851570129395,
-0.29686152935028076,
-0.07339124381542206... |
You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Input: Consider Input: Statement: ਆਪ ਨੇ ਸਤੰਬਰ 1914 ਤੋਂ ਫਰਵਰੀ 1920 ਤਕ ਖਾਲਸਾ ਹਾਈ ਸਕੂਲ ਦੇ ਹੈੱਡਮਾਸਟਰ ਦੇ ਤੌਰ ’ਤੇ ਸੇਵਾ-... | Output: ਗੂਗਲ
| 2 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.29502296447753906,
0.5593544244766235,
0.028959767892956734,
-0.28147417306900024,
0.07394739240407944,
-1.111873745918274,
0.22178103029727936,
0.7480795979499817,
0.2398507297039032,
0.22405679523944855,
-0.028813987970352173,
0.458604097366333,
-0.14576078951358795,
-0.642879784107208... |
In this task, you need to count the number of nouns/verbs in the given sentence.
Ex Input:
Sentence: 'a man is flying through the air on a snowboard'. Count the number of nouns in this sentence.
Ex Output:
3
Ex Input:
Sentence: 'A man riding skis across snow covered ground'. Count the number of verbs in this senten... | 2
| 1 | NIv2 | task155_count_nouns_verbs | fs_opt | [
0.1980770230293274,
1.1422749757766724,
-0.30973100662231445,
-0.7121396660804749,
-0.01714732125401497,
-0.586104154586792,
0.41370314359664917,
0.728880763053894,
-0.008566217496991158,
-0.6383837461471558,
-1.1872590780258179,
0.4059898257255554,
-0.3594072461128235,
0.29610195755958557... |
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Q: 7084 sottrazione 1879 a... | -7690
****
| 4 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
-0.05474954843521118,
0.7846592664718628,
-0.3466232120990753,
-0.18242241442203522,
-0.38414818048477173,
-0.3845483064651489,
0.46380606293678284,
1.1302201747894287,
0.07558633387088776,
-0.44638270139694214,
-0.8823902606964111,
-0.714367151260376,
-0.38796889781951904,
0.4748317599296... |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their,... | What was the name of the person that used the name Spike WIlbury?
| 7 | NIv2 | task001_quoref_question_generation | fs_opt | [
1.0794109106063843,
0.3471170663833618,
-0.7022819519042969,
0.5857231020927429,
0.4191628396511078,
-0.2100042849779129,
1.2315142154693604,
0.7155636548995972,
-0.41632917523384094,
0.6783894896507263,
-0.20222625136375427,
0.7114924192428589,
-0.2772825360298157,
-0.012770336121320724,
... |
Teacher: In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be r... | [229, 569, 677, 971, 557, 43, 773, 251, 701, 619, 463] | 2 | NIv2 | task366_synthetic_return_primes | fs_opt | [
-0.03853577747941017,
-0.2158532738685608,
-0.14845573902130127,
-0.5040442943572998,
0.05085952207446098,
-0.30307769775390625,
0.4404177963733673,
0.6978002786636353,
-0.18977998197078705,
0.25852474570274353,
-0.9983168244361877,
-0.6550371646881104,
-0.4686439037322998,
-0.445599406957... |
Teacher:Given a sentence, 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... | no | 6 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-0.269769549369812,
-0.4456440806388855,
0.6213642954826355,
-0.40228065848350525,
-0.11588625609874725,
-0.8108352422714233,
0.8251639008522034,
0.15270128846168518,
0.09022256731987,
0.3388883173465729,
-1.002434253692627,
0.06047886982560158,
-0.8727613091468811,
-0.722929835319519,
-... |
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.
One example is below.
Q: Natalo ng Italya ang Portugal sa puntos na 31-5 sa Grupong C noong 2007 sa Pandaigdigang laro ng Ragbi sa Parc des Prince... | NTSBはこれを次のメンテナンスチェックかあるいは６ヵ月以内にするべきだと提案している。 | 9 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
-0.09264525771141052,
0.5841414928436279,
-0.764495849609375,
0.31435731053352356,
-0.05082058534026146,
-0.4878918528556824,
0.6636283993721008,
0.6469247341156006,
0.30274510383605957,
-0.490623414516449,
-1.0184040069580078,
0.8837212324142456,
-0.7676055431365967,
0.9677549600601196,
... |
TASK DEFINITION: Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
PROBLEM: Poster: https://instagram.com/p/4kBWJju7nb/ ... | Negative
| 8 | NIv2 | task823_peixian-rtgender_sentiment_analysis | fs_opt | [
-0.39842164516448975,
0.18941058218479156,
-0.13505487143993378,
0.07836994528770447,
0.40378808975219727,
-0.6931535601615906,
0.7608964443206787,
0.29957813024520874,
0.5028576850891113,
0.29947710037231445,
-0.015346281230449677,
-0.05416041240096092,
-0.18413206934928894,
-0.0380552932... |
Q: In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
[-57, -90, 82, ... | 182 | 7 | NIv2 | task1446_farthest_integers | zs_opt | [
-0.7286630272865295,
0.6496844291687012,
0.3503933548927307,
-0.1264338195323944,
-0.2776666581630707,
-0.5816392302513123,
0.7168834805488586,
0.22218219935894012,
0.8266788721084595,
-0.011613687500357628,
0.14976797997951508,
-0.09538821130990982,
-0.6327860355377197,
0.3657374382019043... |
You will be given a context and a verb separated with a newline character. You have to decide if the given verb implies a hypothetical or conditioned action or not. We say a verb is hypothetical if it involves or is based on a suggested idea or theory. A verb is conditional if it appears in a conditional phrase and is ... | Solution: No | 5 | NIv2 | task457_matres_conditional_classification | fs_opt | [
0.6664136648178101,
0.7896752953529358,
0.3945772647857666,
0.452311635017395,
0.427998811006546,
-0.6977543830871582,
0.684320330619812,
1.0617390871047974,
-0.4855465292930603,
-0.31456661224365234,
-0.7711480259895325,
0.5455053448677063,
-0.7167980670928955,
0.3290444016456604,
0.288... |
Detailed Instructions: In this task, given a sentence in the English language, your task is to convert it into the Vietnamese language.
Q: At the same time, Conoco Inc. has announced, that they will evacuate around 500 staff oil from platforms at the Ekofisk oil field.
A: | Đồng thời, Công ty Conoco đã công bố rằng họ sẽ sơ tán khoảng 500 nhân viên từ các thềm khoan dầu tại mỏ dầu Ekofisk. | 9 | NIv2 | task549_alt_translation_en_vi | zs_opt | [
-0.30221524834632874,
-0.14327120780944824,
-0.1116173267364502,
-0.5444729328155518,
-0.36575478315353394,
-0.4470657706260681,
-0.2349303960800171,
0.5831656455993652,
0.36478304862976074,
-0.10430451482534409,
0.37814128398895264,
0.2166791558265686,
0.02834760956466198,
-0.130329519510... |
TASK DEFINITION: Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) oc... | residence
| 8 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
-0.04768829792737961,
0.5956162214279175,
0.07926935702562332,
0.2176785171031952,
0.06439957022666931,
0.3193408250808716,
0.658481240272522,
0.4639422297477722,
0.340189665555954,
0.201847106218338,
-0.06555289775133133,
0.6783745288848877,
-1.174851417541504,
-0.07895025610923767,
-0.... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | run around right thrice and turn right | 0 | NIv2 | task131_scan_long_text_generation_action_command_long | zs_opt | [
0.4082184135913849,
0.7824985980987549,
-0.4429488778114319,
0.0744430422782898,
-0.33096063137054443,
0.25490790605545044,
0.014921866357326508,
0.56425940990448,
-0.22607919573783875,
-0.09858008474111557,
-0.8304651379585266,
-0.4374969005584717,
-0.6862257719039917,
-0.0397402942180633... |
Definition: 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 ... | At the end of the battle how many more men did the Jacobits have compared to Argyll? | 2 | NIv2 | task026_drop_question_generation | zs_opt | [
1.0248534679412842,
0.3060961961746216,
-0.4437870383262634,
-0.33323848247528076,
0.30377691984176636,
-1.0710783004760742,
0.6022576093673706,
0.4323727786540985,
0.4056640863418579,
0.04200001060962677,
0.2590867578983307,
0.40430793166160583,
-1.2254655361175537,
0.2385510951280594,
... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Input: Ironically, we used to turn to adultery — that was the space where we sought pure love.
Output: | 皮肉にもかつては私達が純愛を探し求めるときに不倫に頼ったのでした | 2 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-0.04116564244031906,
0.6429401636123657,
-0.19323742389678955,
-0.3960898816585541,
-0.6432275772094727,
-0.2915920615196228,
0.0918019637465477,
-0.551961362361908,
0.8166850805282593,
-0.09496419131755829,
-0.8654047846794128,
-0.1044568121433258,
-0.5814371109008789,
-0.023646730929613... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Q: Iniziamo con una buona notizia, la quale ha a che fare con ciò che sappiamo per certo, basandoci sulla ricerca biomedica, che ha effettivamente influito sugli esiti di molte malattie gravi.
A: Vamos a empezar con buena... | Orgullosamente, les anuncio, que hace seis meses, fue elegida Vicealcaldesa de Narok.
****
| 4 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
0.678641676902771,
0.3271012008190155,
-0.16980908811092377,
-0.21783527731895447,
0.4975406527519226,
-1.42537260055542,
0.9178288578987122,
0.8971937894821167,
0.053225938230752945,
-0.16617098450660706,
-0.9256874918937683,
1.0218536853790283,
-0.437186598777771,
0.9524039626121521,
0... |
TASK DEFINITION: Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
PROBLEM: Japanese: ケニア医師薬剤師歯科医師組合の議長である、ドクターVictorNg'aniは、行政措置を”向こうみずである”と言った。
Lao: ພະນັກງານ ກົ... | Yes
| 8 | NIv2 | task1126_alt_ja_lo_answer_generation | fs_opt | [
-0.12114943563938141,
-0.560781717300415,
-0.40279409289360046,
-0.17828145623207092,
0.3883339762687683,
0.00620630756020546,
0.04585650563240051,
0.5839505195617676,
-0.19392308592796326,
-0.06331097334623337,
-0.42300182580947876,
0.8677921891212463,
-0.542233943939209,
0.49588108062744... |
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Example Input: Problem: a and b together can do a piece of work in 6 days and a alone can do it in 13 days . in how many days can b alone can do it ?
Options: a ) 12 days , b ) 1... | b
| 3 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.36790043115615845,
0.2629222571849823,
0.4536726474761963,
-0.4243897795677185,
-0.2671269178390503,
-0.41205865144729614,
0.06380259990692139,
0.8464925289154053,
-0.3917968273162842,
0.05137376859784126,
-0.8546654582023621,
0.30283743143081665,
0.6428768038749695,
-0.6463406085968018,... |
In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that... | True
| 5 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
-0.06382010132074356,
0.1527368426322937,
0.2060975879430771,
-0.5616554021835327,
-0.07792861014604568,
-0.46583080291748047,
0.879429817199707,
0.7661418318748474,
-0.0871274471282959,
0.2952898442745209,
-0.3510415852069855,
0.10628220438957214,
-0.8834795951843262,
0.4327884018421173,
... |
This task is about translating a given Spanish language sentence to English.
¿ Puedo retirarme? | Can I go? | 0 | NIv2 | task1692_qed_amara_translation | zs_opt | [
0.04134386032819748,
1.058586835861206,
0.32461991906166077,
-0.5933049917221069,
-0.45260363817214966,
-0.9740594625473022,
0.7999688386917114,
0.46225064992904663,
0.6923295855522156,
-0.606895387172699,
-0.02985314652323723,
0.50928795337677,
-1.1724305152893066,
0.13590103387832642,
... |
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 values, lik... | [-32.0, -49.5, 27.5, 84.5]
| 3 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.364901602268219,
0.12214026600122452,
-0.9180453419685364,
0.007946816273033619,
0.00372644723393023,
0.3759416341781616,
0.5647875070571899,
1.0335071086883545,
-0.2905474305152893,
-0.1132645457983017,
-0.9036258459091187,
-0.05852711573243141,
0.04661066085100174,
-0.1594925969839096... |
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