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 |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then some input of the task.
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Sentence: 'The Kingdom of Cambodia is a country in South East Asia with a p... | be country in | 1 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
0.327583372592926,
0.05906067043542862,
0.024914352223277092,
-1.1724772453308105,
-0.26572275161743164,
-0.546831488609314,
0.32759737968444824,
0.9773051738739014,
-0.5544676780700684,
0.32027196884155273,
-0.22789029777050018,
-0.20255695283412933,
-0.18886026740074158,
0.11768949031829... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Q: Bom, podemos voltar à estrutura em rede das ideias para o fazermos.
A: | Possiamo tornare alla struttura di sistema delle idee per farlo. | 4 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
0.20740874111652374,
1.0660669803619385,
0.4237920939922333,
-0.21057775616645813,
-0.1659400314092636,
-0.98493891954422,
0.9170868396759033,
0.6596336960792542,
-0.1653575301170349,
-0.16595175862312317,
-0.6109994053840637,
0.9062202572822571,
0.22245989739894867,
0.4380911588668823,
... |
Part 1. Definition
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Part 2. Example
Gujarati: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા... | Yes | 7 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt | [
-0.49978768825531006,
0.37052100896835327,
0.29084908962249756,
0.3767671585083008,
0.40135282278060913,
-0.8722095489501953,
-0.3530799150466919,
0.4254879355430603,
-0.5681984424591064,
0.020458277314901352,
-0.1795208603143692,
0.32437700033187866,
-0.6589161157608032,
0.030093064531683... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in order... | 12 | 9 | NIv2 | task218_rocstories_swap_order_answer_generation | fs_opt | [
0.27869507670402527,
0.07324455678462982,
-0.27557259798049927,
0.1131858080625534,
0.5473471879959106,
-0.5832960605621338,
0.33873796463012695,
1.0802969932556152,
-0.4680718779563904,
0.3629651367664337,
-1.2572669982910156,
-0.29913902282714844,
-0.8847563862800598,
-0.0456316880881786... |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post co... | OFFENSIVE
| 7 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-1.0883424282073975,
0.5245341062545776,
0.6098111867904663,
0.6739158630371094,
-0.34884506464004517,
-0.9236222505569458,
0.4745398461818695,
0.40590900182724,
0.6657460331916809,
0.17102299630641937,
0.21906837821006775,
0.1326746642589569,
-0.2276965081691742,
-0.4302268922328949,
-0... |
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... | Als je een feestje wilt dan moet je een tuin hebben. | 3 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.5617529153823853,
0.8873039484024048,
0.19159230589866638,
0.008421960286796093,
-0.2025338113307953,
-0.8357477784156799,
0.35920146107673645,
0.5370098352432251,
0.36163341999053955,
-0.21055908501148224,
-0.6337134838104248,
0.20870713889598846,
-0.44576993584632874,
-0.2043767571449... |
TASK DEFINITION: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. Y... | Yes
| 8 | NIv2 | task1205_atomic_classification_isafter | fs_opt | [
0.6421974897384644,
0.18812842667102814,
0.31712132692337036,
-0.06527768820524216,
-0.590711772441864,
-0.7437452077865601,
1.5476665496826172,
0.5535999536514282,
-0.1665237843990326,
-0.6158842444419861,
-0.4472491145133972,
-0.5167297124862671,
-0.5238964557647705,
0.15489132702350616,... |
Given a part of privacy policy text, identify the purpose for which the user information is collected/used. The purpose should be given inside the policy text, answer as 'Not Specified' otherwise
[EX Q]: The site collects your unspecified information for an unspecified purpose. Collection happens when you explicitly p... | Marketing
| 6 | NIv2 | task683_online_privacy_policy_text_purpose_answer_generation | fs_opt | [
-1.1921534538269043,
-0.2021002620458603,
-1.0168142318725586,
0.19077712297439575,
-0.6624088287353516,
-1.185945749282837,
-0.33835265040397644,
-0.2182546854019165,
-0.2732451558113098,
0.9998225569725037,
0.7291171550750732,
0.3323628306388855,
-0.4115859866142273,
-0.33357980847358704... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: מה אם רופאים היום הופכים לשקופים לחלוטין עם החולים שלהם?
Student: | E se i dottori fossero completamente trasparenti con i loro pazienti. | 6 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
-0.39027076959609985,
0.3852812349796295,
0.2502009868621826,
-0.5782144069671631,
-0.4033370018005371,
-0.7328380346298218,
-0.035310108214616776,
0.5550304651260376,
0.6818588376045227,
-0.3187771439552307,
-0.20303604006767273,
0.33285433053970337,
-0.24306181073188782,
-0.3474169373512... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so... | Jeremy put down the soda and grabbed an avocado to eat because the _ was making him healthy. | 1 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.7826102375984192,
0.0005279518663883209,
0.2708600163459778,
-0.10524945706129074,
0.7556432485580444,
-0.8400424122810364,
0.7968445420265198,
1.0892775058746338,
-0.7459955215454102,
-0.29783880710601807,
-0.3352047801017761,
0.19408965110778809,
-0.5214213728904724,
0.0171470884233713... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
Q: ... | joy | 4 | NIv2 | task1662_cedr_ru_classification | zs_opt | [
-0.827335774898529,
-0.09197968989610672,
0.38320401310920715,
-0.3204795718193054,
-0.7046939730644226,
-0.1321474313735962,
0.5381633639335632,
0.853291392326355,
0.01620020717382431,
-0.06498492509126663,
-0.15902888774871826,
0.12408485263586044,
-0.13502724468708038,
0.234957516193389... |
Teacher:In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the ... | Recent deliberations about the appropriate location for visa processing is not an example. | 6 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-1.306416392326355,
0.4667811691761017,
0.3263867497444153,
-0.3180426359176636,
0.21817293763160706,
0.2116847187280655,
-0.18326503038406372,
0.4705524742603302,
0.48193100094795227,
-0.167727530002594,
0.4719616174697876,
-0.24223592877388,
-0.5829006433486938,
-0.04660061001777649,
0... |
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. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Input: "Trust needs to be reb... | U.S. National Security Agency | 3 | NIv2 | task339_record_answer_generation | zs_opt | [
-0.2597099840641022,
0.49388110637664795,
-0.6300783157348633,
-0.3473438620567322,
-0.23514267802238464,
-0.024906383827328682,
0.890291154384613,
0.5500071048736572,
-0.26034271717071533,
0.2204371839761734,
-0.19906941056251526,
0.933029294013977,
-0.7092689275741577,
0.3556814789772033... |
Detailed Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of... | Yes | 9 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
0.07010599970817566,
-0.14294441044330597,
0.6558202505111694,
0.14314916729927063,
-0.21972760558128357,
-1.440860629081726,
0.5420488715171814,
0.27337804436683655,
-0.05771620199084282,
-0.3511417806148529,
-0.004870623350143433,
-0.5514737367630005,
-0.7100952863693237,
0.1310867369174... |
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 ... | walk around right thrice and turn opposite left thrice
****
| 4 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.7087664008140564,
0.5820897221565247,
-0.3943505585193634,
0.18521356582641602,
-0.009138274006545544,
0.054575495421886444,
-0.11497730016708374,
0.763327956199646,
-0.3095059096813202,
0.00520129781216383,
-0.5318225622177124,
-0.4166637063026428,
-0.6068214774131775,
0.009125965647399... |
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: Consider Input: స్వచ్ఛతా హీ సేవ ఉద్యమం లో ప్రతి ఒక్కరూ పాలుపంచుకోవలసిందంటూ పిలుపునిచ్చిన ప్రధాన మంత్రి
Output: தூய்மைக்கான சேவை இயக்கத்தின் ... | Output: அனைவருக்கும் வீடு, மின்சாரம், உணவு, குடிநீர், சுகாதாரம், தூய்மை, காப்பீடு மற்றும் திறன் மேம்பாடு அளிப்பதுடன் நாட்டு மக்கள் அனைவரையும் ஒருங்கிணைக்கும் தமது தொலைநோக்குப் பார்வையை பிரதமர் வலியுறுத்தினார்.
| 2 | NIv2 | task1076_pib_translation_telugu_tamil | fs_opt | [
0.17234620451927185,
-0.06307880580425262,
-0.5692538619041443,
0.16128137707710266,
0.1893867552280426,
-0.8101385831832886,
0.32253363728523254,
0.6443859338760376,
-0.6798689365386963,
0.7664543390274048,
-0.35716113448143005,
0.3898429870605469,
0.0313664972782135,
-0.1497163474559784,... |
Instructions: In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Input: Context_1 : Thamnocalamus tessellatus (Nees) Soderstrom & R.P.Ellis is a... | What route contains the tunnels which connect the island whose name means Bamboo Man with another island? | 3 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
0.9507573246955872,
0.8552356958389282,
-0.46521681547164917,
0.02603045292198658,
0.3747052848339081,
-0.5636140704154968,
1.1168618202209473,
0.8840692043304443,
0.05314440280199051,
0.23534753918647766,
-0.44560208916664124,
0.7749749422073364,
-0.42867690324783325,
0.36940672993659973,... |
Q: In this task, you are given product reviews about dvds. The goal is to classify the review as "POS" if the overall sentiment of the review is positive(the reviewer is satisfied) or as "NEG" if the overall sentiment of the review is negative(the reviewer is not satisfied).
Shockingly Revisionist and Doctrinaire View ... | NEG | 7 | NIv2 | task477_cls_english_dvd_classification | zs_opt | [
-0.4463532865047455,
-0.029454819858074188,
-0.6039987206459045,
0.7543194890022278,
0.5595204830169678,
-0.4021814465522766,
1.599954605102539,
0.5753028392791748,
-0.27937495708465576,
0.5417137742042542,
-0.07954570651054382,
-0.3277260959148407,
0.023574071004986763,
-0.542210221290588... |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Ale kiedy zbliżysz je do siebie odpowiednio blisko Coś zwanego wielką siłą zaczyna działać, i przyciągać je do siebie.
A: | Pero cuando se acercan lo suficiente, algo llamado la fuerza fuerte comienza a actuar y los hace acercarse más. | 7 | NIv2 | task1258_ted_translation_pl_es | zs_opt | [
-0.3186640739440918,
1.8439419269561768,
-0.25397440791130066,
-0.5100299119949341,
-0.5510352849960327,
-0.8660801649093628,
0.7375490665435791,
0.029473526403307915,
0.0569266676902771,
-0.27081650495529175,
-0.12023374438285828,
0.36331260204315186,
-1.1071174144744873,
-0.2757624387741... |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
how famous of a film was Open Season 2? | famous | 0 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.49673721194267273,
0.6962937116622925,
-0.6165281534194946,
0.854536235332489,
-0.46176135540008545,
-0.37123262882232666,
0.31827157735824585,
0.010722227394580841,
-0.12090945988893509,
-0.6882646679878235,
-0.3540007472038269,
0.09724599123001099,
-0.9215056300163269,
-0.064514614641... |
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Paragraph: • Longer time from diagnosis to definitive ... | True | 0 | NIv2 | task1162_coda19_title_classification | zs_opt | [
0.15422423183918,
0.2613333761692047,
-0.528043270111084,
-0.1494138389825821,
0.07885792851448059,
0.36507779359817505,
0.12191050499677658,
1.3857983350753784,
0.3775400221347809,
0.8555830717086792,
-0.10156485438346863,
0.06716230511665344,
-0.034592803567647934,
0.5087037682533264,
... |
In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
[Q]: Sound quality and comfort are fantastic. However, they are not durable and have consistent ... | 3
| 5 | NIv2 | task1310_amazonreview_rating_classification | fs_opt | [
-0.04951443523168564,
0.626796305179596,
-0.23844149708747864,
-0.23582491278648376,
0.6730652451515198,
-0.7538773417472839,
0.6096806526184082,
1.0639866590499878,
-0.289859801530838,
0.26598060131073,
-0.051435649394989014,
0.19181838631629944,
-0.7048230171203613,
-0.2300194352865219,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Context: Our prayers are wi... | lgbt | 0 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
-0.49322932958602905,
0.7757176160812378,
0.34641599655151367,
-0.607551097869873,
-0.40782541036605835,
-0.44392839074134827,
0.5236040353775024,
0.27594193816185,
0.3916591703891754,
0.16226062178611755,
-0.3677791953086853,
-0.337496817111969,
-0.07582982629537582,
0.015840517356991768,... |
In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Example input: And the sun runs his course for a period determined for him: that is the decree of (Him), the Exalted in Might, the All-Knowing.
Example output: و خورشید [نیز برای آنان نشانهای از قدرت ماست]... | [و به آنان میگویند:] این همان آتشی است که همواره آن را تکذیب میکردید. | 3 | NIv2 | task656_quran_en_fa_translation | fs_opt | [
-0.7488188147544861,
1.201650619506836,
-0.20204493403434753,
-0.7398654222488403,
-0.6865126490592957,
-1.224839210510254,
0.654589056968689,
0.43927910923957825,
0.1612653136253357,
0.1277017444372177,
-0.29922354221343994,
0.6230350732803345,
-0.7270897030830383,
0.08100452274084091,
... |
instruction:
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not ... | 5, 6.
| 9 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
0.7501935362815857,
0.5577470660209656,
-0.2722671329975128,
-0.2985542416572571,
0.5159319639205933,
-0.8623059391975403,
0.7796617746353149,
0.9938477277755737,
-0.12797892093658447,
-0.008193014189600945,
-0.6628550291061401,
0.3257988691329956,
-0.7321639657020569,
-0.049787737429142,
... |
Teacher:In this task, you're given a passage, 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, output 'none'.
Teacher: Now, understand the problem? S... | Answer: none | 6 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
0.055608347058296204,
0.11599980294704437,
-0.26881134510040283,
-0.4194859266281128,
0.1751563400030136,
-0.17736105620861053,
0.066460020840168,
0.5035523176193237,
-0.34920644760131836,
0.009865179657936096,
0.42479628324508667,
0.7519057989120483,
-0.9464293718338013,
0.331248044967651... |
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
Q: News He... | Not Funny
****
| 4 | NIv2 | task495_semeval_headline_classification | fs_opt | [
0.3848187029361725,
0.7737386226654053,
0.35589730739593506,
-0.13278356194496155,
-0.5101358294487,
-0.5961676239967346,
0.14236071705818176,
1.33943510055542,
0.16939260065555573,
0.26661181449890137,
-0.49210286140441895,
-0.07350565493106842,
-0.7243973016738892,
0.15872740745544434,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Q: چیزی که ما امروزه داریم در واقع بازار کربن قهوه ایست.
A: Temos hoje, o que basicamente chamamos mercado de carbono castanho.
****
Q: زیباست.
A: É lindo.
****
Q: اما مسئله ی اصلی این هست که واقعا مقدار دقیقی از به هم ر... | Mas o que acontece é que não há, na verdade, uma medida padrão de entropia.
****
| 4 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
-0.21215656399726868,
1.010019063949585,
0.16140180826187134,
-0.8185074329376221,
-0.567607581615448,
0.24193096160888672,
0.058598488569259644,
0.7341789603233337,
0.29997381567955017,
-0.09308237582445145,
-1.1695499420166016,
-0.07185456901788712,
-0.15478608012199402,
0.86032414436340... |
Teacher: In this task, given a sentence in the English language, your task is to convert it into the Filipino language.
Teacher: Now, understand the problem? If you are still confused, see the following example:
According to Assistant Secretary of State, Sean McCormack, at least one breach occurred during a training se... | Inalalayan nina Ryan Smith at Tom Poti ang pag gowl ni Blake. | 2 | NIv2 | task559_alt_translation_en_fi | fs_opt | [
0.055824343115091324,
-0.12880486249923706,
-0.5214952230453491,
-0.586825966835022,
0.644558310508728,
-0.031073078513145447,
0.2692384123802185,
0.09779460728168488,
0.4977881908416748,
0.07773233950138092,
0.38084378838539124,
0.15784285962581635,
-0.682328999042511,
0.11394858360290527... |
Teacher:In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Teacher: Now, understand the problem? Solve this instance: Okay. "Jan is smart, successful.
Student: | حسناً, " جان " ذكية, ناجحة | 6 | NIv2 | task651_opus100_en_ar_translation | zs_opt | [
-0.3270409107208252,
0.4872152805328369,
0.3108775019645691,
-1.6275935173034668,
0.16491752862930298,
0.164817675948143,
0.11409220844507217,
0.24745485186576843,
0.5086464285850525,
0.5856972932815552,
-0.2035236805677414,
0.3945847749710083,
-0.8078739047050476,
-0.4566633701324463,
0... |
Definition: 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.
Input: T... | beef | 2 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
-0.013086508959531784,
0.322588711977005,
0.0986187756061554,
0.10450199246406555,
0.1456640213727951,
-0.1615556925535202,
0.3838811218738556,
0.5841031670570374,
0.08962265402078629,
-0.1461414396762848,
0.02843913994729519,
-0.0995207279920578,
-0.44724202156066895,
0.03863608092069626,... |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Ex Input:
[-85, -205, -773, 245, 419, -60, 852, 930, 996, -384]
Ex Output:
[-80, -200, -770, 240, 420, -60, 850, 930, 1000, -380]
Ex Input... | [130, -50, 10, -750, 660, -280, 910, 110, -830, -420, -80, -70, -540, -750, -910]
| 1 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-1.0317445993423462,
0.27220723032951355,
-0.3858698010444641,
-0.10312514007091522,
-0.26000910997390747,
-0.06831091642379761,
0.7763534784317017,
0.008209142833948135,
-0.36396920680999756,
0.26660263538360596,
-0.7118796706199646,
0.34901922941207886,
-0.9067344665527344,
-0.1360755115... |
Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, mil... | physical activity | 0 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
0.12553609907627106,
0.20509447157382965,
-0.6566630005836487,
0.17924559116363525,
0.08010971546173096,
-0.2039998471736908,
-0.3751419186592102,
0.2207510769367218,
0.17303366959095,
-0.14776378870010376,
-0.38746190071105957,
0.031622081995010376,
-0.4074084162712097,
-0.415303617715835... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'T... | Solution: Text two | 5 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.8376295566558838,
0.3028927147388458,
0.10614382475614548,
-0.4211534261703491,
0.26822829246520996,
-0.794903576374054,
-0.1838323175907135,
0.8703609704971313,
0.02022217959165573,
0.40863335132598877,
-0.3006654381752014,
-0.17208412289619446,
-0.5874061584472656,
-0.8176471590995789... |
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
Example In... | Not Funny
| 3 | NIv2 | task495_semeval_headline_classification | fs_opt | [
0.22918762266635895,
0.47861361503601074,
0.45132237672805786,
-0.11378026008605957,
-0.1898653507232666,
-0.630893349647522,
0.14061090350151062,
1.1990509033203125,
-0.11645594239234924,
-0.07389290630817413,
-0.5857721567153931,
-0.32066798210144043,
-0.678409218788147,
0.07019971311092... |
Definition: Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Input: @MadanGowri Manasula ... | Not Hope Speech | 2 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
-0.3845323324203491,
-0.36131006479263306,
0.4738713502883911,
0.6583168506622314,
-0.22142952680587769,
-1.103959083557129,
-0.13144293427467346,
0.9494877457618713,
-0.41213154792785645,
0.5552501678466797,
-0.16444019973278046,
-0.20332114398479462,
-0.1018420159816742,
-0.5708546042442... |
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Input: هناك منطقة ، وحول خليج جوانتانامو حيث تعطي معاهدة الولايات المتحدة المسؤولية الإدارية عن قطعة أرض هي ضعف مساحة مانهاتن.
Output: | There is a zone there, around Guantanamo Bay, where a treaty gives the United States administrative responsibility for a piece of land that's about twice the size of Manhattan. | 3 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
0.33934682607650757,
0.769184947013855,
-0.1764111965894699,
-1.6732144355773926,
-0.10251585394144058,
-0.48784393072128296,
-0.06036343798041344,
0.23826995491981506,
0.27155470848083496,
-0.34831446409225464,
0.5036033391952515,
-0.2095617651939392,
-1.2582855224609375,
0.21320927143096... |
Definition: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Input: Title... | 32154 | 2 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
0.0810261070728302,
0.028178978711366653,
-0.11668447405099869,
-0.4402812123298645,
-0.3017685115337372,
0.901482880115509,
0.37950989603996277,
0.7526530027389526,
0.27717089653015137,
-0.49640387296676636,
-0.8978430032730103,
-0.41950228810310364,
-0.4418196380138397,
0.259739160537719... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
The girls continue to speak with one another while the girl knits.... | is interviewed with a note written with notes. | 0 | NIv2 | task454_swag_incorrect_answer_generation | fs_opt | [
0.4242697060108185,
0.9394820928573608,
-0.3661732077598572,
0.11044289171695709,
-0.13574515283107758,
-0.46209782361984253,
0.041526392102241516,
0.4474400281906128,
0.08462035655975342,
0.4221029281616211,
-0.527069628238678,
-0.021267851814627647,
-0.2945745587348938,
-0.16964630782604... |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
I am a huge fan of the Bourne series and when it came to buying this, even considering purc... | Bad review | 0 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.16097095608711243,
-0.4077499508857727,
-0.2123604416847229,
0.2896178066730499,
0.11235908418893814,
-0.34966298937797546,
1.24457848072052,
0.8118422031402588,
0.1455633044242859,
0.5263065099716187,
-0.015512385405600071,
-0.036569129675626755,
-0.7538067102432251,
-0.369391739368438... |
Teacher: In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Teacher: Now, understand the problem? If you are still confused, see the following example... | B | 2 | NIv2 | task1389_hellaswag_completion | fs_opt | [
0.5845082402229309,
-0.06362762302160263,
-0.4686642289161682,
-0.34710872173309326,
-0.04777998477220535,
-0.37674015760421753,
1.1039503812789917,
1.2574127912521362,
-0.07764876633882523,
0.0823306292295456,
-0.1487792581319809,
-0.2415740042924881,
-0.045782141387462616,
-0.14379031956... |
Teacher: You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Teacher: Now, understand the problem? If you are still confused, see the following example:
How many miles is 43560 ?... | How do you find the volume of irregulars volumes ? | 2 | NIv2 | task674_google_wellformed_query_sentence_generation | fs_opt | [
0.07120928168296814,
0.05418447032570839,
-0.09282464534044266,
-0.05174747109413147,
-0.2909814715385437,
-0.3738556504249573,
0.42434993386268616,
-0.40381622314453125,
-0.6425060033798218,
-0.18046841025352478,
-0.22177135944366455,
-0.06934806704521179,
-0.25684431195259094,
-0.3236176... |
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... | [['z', 'g'], ['z', 'u'], ['g', 'u']] | 4 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.45334380865097046,
0.320016086101532,
-0.31731075048446655,
-0.1939595639705658,
1.0282187461853027,
-0.4735099971294403,
0.3219086825847626,
0.13940362632274628,
-0.5513999462127686,
0.3704274892807007,
0.15651312470436096,
0.08429441601037979,
0.33909714221954346,
-0.5546164512634277,... |
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 will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in... | strategy | 0 | NIv2 | task306_jeopardy_answer_generation_double | fs_opt | [
-0.4275721311569214,
0.5137083530426025,
-0.16147427260875702,
-0.49770501255989075,
-0.3778480589389801,
0.6671700477600098,
0.2451018989086151,
0.4324207901954651,
-0.2599162757396698,
-0.03209393471479416,
-0.01793096214532852,
-0.13567030429840088,
-0.5992473363876343,
-0.4317046403884... |
In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
[Q]: Ok, my trip dates are Oct 28 and Oct 30.
[A]: customer
[Q]: Can you please help me in booking from LAS to DCA?
[A]: customer
[Q]... | customer
| 5 | NIv2 | task575_air_dialogue_classification | fs_opt | [
0.08558627963066101,
0.42513447999954224,
-0.43242472410202026,
-0.5882454514503479,
-0.3187985122203827,
-0.4401068389415741,
0.5180505514144897,
-0.10287337005138397,
0.39385485649108887,
0.4744724631309509,
0.028436899185180664,
-0.21673570573329926,
-0.04154156148433685,
-0.18751026690... |
Definition: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Input: Category: MOVIE SONGS
Clue: He had a 1994 hit with "Streets of Philadelphi... | bruce springsteen | 2 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.4058753550052643,
0.7206802368164062,
0.08849774301052094,
0.2106713503599167,
0.3223388195037842,
0.21808935701847076,
0.8882735371589661,
-0.20929710566997528,
0.26508042216300964,
0.006949859205633402,
-1.0230467319488525,
-0.24370884895324707,
-0.6530120372772217,
0.2842059135437011... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
question:
Sapete.... ricerca.
answer:
Ya saben, investigación.
question:
E vedo che alcuni di loro sono riusciti a venire alla conferenza.
answer:
Y veo que alguno de ellos lograron venir a la conferencia.
... | Puedes venir a la inauguración. Te invito.
| 9 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
0.17318418622016907,
0.5980979204177856,
-0.14172175526618958,
0.24411018192768097,
-0.575762152671814,
-0.6436456441879272,
-0.6158491373062134,
0.5592798590660095,
0.46574074029922485,
-0.5225586891174316,
-0.34354057908058167,
0.44569307565689087,
-0.43333345651626587,
0.529143989086151... |
Q: You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
20_Fenchurch_Street | completionDate | "April 2014"
20_Fenchurch_Stree... | 20 Fenchurch Street, which has a floor count of 34, was completed in April 2014. | 7 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
-1.3442411422729492,
0.7138873934745789,
-0.2574807107448578,
-1.1434991359710693,
-0.3820095658302307,
-0.027112267911434174,
1.2142951488494873,
-0.4616427421569824,
-0.181695818901062,
0.16612164676189423,
-0.5746051073074341,
1.2236229181289673,
-0.6343402862548828,
0.00172995473258197... |
Instructions: In this task, you will be presented with a question having multiple possible answers in Vietnamese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Input: Question: Tôi phát ngán khi lái chiếc xe như đã làm trong 10 giờ, tôi cảm... | B | 3 | NIv2 | task1130_xcsr_vi_commonsense_mc_classification | zs_opt | [
0.12657175958156586,
0.01580318808555603,
-0.04652821272611618,
-0.22950029373168945,
-0.8300568461418152,
-1.1555323600769043,
0.7261682748794556,
1.0403894186019897,
0.1627875119447708,
0.3989400267601013,
-0.4692838191986084,
0.10965895652770996,
0.5593951940536499,
-0.5262365341186523,... |
Given the Question and Answer pair, detect whether the answer is acceptable or not. Denote acceptable answer as "yes", otherwise denote as "no". An acceptable answer is consistent with the context in question, detailed, long, and uses general knowledge of English. Answers that are not definite and suggest a variety of ... | yes | 0 | NIv2 | task226_english_language_answer_relevance_classification | zs_opt | [
-0.6022309064865112,
0.21379545331001282,
0.10978436470031738,
0.17267978191375732,
-0.18794195353984833,
-0.6198878288269043,
0.6609903573989868,
0.36060789227485657,
0.24351003766059875,
0.5326887965202332,
-0.17466410994529724,
-0.1716046929359436,
-0.4050934314727783,
0.236562058329582... |
Q: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Passage: Sandringham is recorded in the Domesday Book as "sant-Dersingham" and... | Sandringham Hall. | 7 | NIv2 | task002_quoref_answer_generation | zs_opt | [
1.1685304641723633,
0.26308685541152954,
-0.5383964776992798,
0.0066487668082118034,
0.6762932538986206,
-0.9377365708351135,
1.1124203205108643,
0.907471776008606,
0.1586652398109436,
0.09062280505895615,
-0.12377103418111801,
1.3219234943389893,
-1.040908694267273,
0.165339857339859,
-... |
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.
Ex Input:
My husband and both love almonds. I've even shared this snack with co-workers and everyone is raving about the good taste of this snack. I'm taking a ... | Positive
| 1 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
-0.4157772362232208,
-0.11552636325359344,
-0.1265040934085846,
0.13219164311885834,
-0.30483874678611755,
-0.28587791323661804,
1.1044526100158691,
0.678138792514801,
0.18623369932174683,
0.0021498724818229675,
-0.4614787995815277,
0.36478161811828613,
-0.6282196640968323,
-0.105111934244... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប្រកួ... | それは、今タバコに無関心な数百万の命の多くを救うことが国際地域に認識される重要性を明示している、とWHO事務局長のイ・ジョンウクは語った。 | 1 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
-0.024701738730072975,
0.6038305759429932,
-0.5810171365737915,
0.4126015901565552,
-0.07045333087444305,
-0.4902713894844055,
0.1846037656068802,
0.25787729024887085,
-0.11733201891183853,
-0.4850168824195862,
-0.889694094657898,
0.9995031356811523,
-0.2678966820240021,
0.3805686831474304... |
Q: Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
ໃນວັນທີ 18 ກໍລະກົດ 2003 ໂດໂຣຕ້າ ນີນານສະກາ ໄດ້ຖືກຕັດສິນໃຫ້ເຮັດວຽກບໍລິການຊຸມຊົນເປັນເວລາ6ເດືອນສຳລັບການສະແດງຜົນງານສິລະປະທີ່ສະແດງອະໄວຍະວະເພດຊາຍເທິງໄມ້ກາງ... | 2003年7月18日、DorotaNieznalskaが、十字架にペニスをのせたアート作品を展示したために、6ヶ月間の地域奉仕の罰則を科せられた。 | 7 | NIv2 | task1125_alt_lo_ja_translation | zs_opt | [
0.05704481154680252,
0.10226686298847198,
-0.3178747594356537,
-0.5831100344657898,
-0.36993372440338135,
-0.363471657037735,
-0.08359493315219879,
0.2778458297252655,
-0.20270180702209473,
-0.28253209590911865,
-0.0894886776804924,
1.1159908771514893,
-0.851891040802002,
0.152479782700538... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
چون یه کار رویایی باید یه ذره رویایی باشه. | 夢のような仕事なのだから少しは夢があっても良いでしょう | 0 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-1.0772994756698608,
1.1746320724487305,
0.10352526605129242,
-0.6850051283836365,
-0.5833272337913513,
1.0058847665786743,
0.345546692609787,
0.19253693521022797,
0.44927385449409485,
-0.7930217981338501,
-0.7263284921646118,
-0.2344895452260971,
0.06553643941879272,
0.10845357179641724,
... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Norwegian Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Norwegian language... | Noe grønt, som beveget seg gjennom luften, vakte min oppmerksomhet. I neste øyeblikk så jeg at det grønne ble båret på en stokk av en mann som beveget seg mellom bakkene.
| 5 | NIv2 | task1649_opus_books_en-no_translation | fs_opt | [
-0.22681154310703278,
0.6377410292625427,
-0.16877587139606476,
-0.1853899508714676,
-0.07635802030563354,
-1.3611047267913818,
1.053056001663208,
-0.2972230911254883,
0.4162662625312805,
-0.3542596101760864,
0.28119295835494995,
0.696453869342804,
-1.3944884538650513,
0.24866512417793274,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
أول شيء فعلته عندما خرجت من السجن ، بالطبع بعد أن أخذت حماما ، كنت على الإنترنت ، فتحت حسابي على تويتر ، وصفحتي على الفيسبوك ، وكنت دوما أحترم أول... | 刑務所を出て最初にしたことはシャワーはともかくとしてネットを開くことでしたツイッターを開きフェイスブックにログインしました私はいつも大いに敬意をもって意見を下さる方に接してきました | 1 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
-0.021735485643148422,
0.4006142020225525,
-0.24844610691070557,
-0.21726897358894348,
-0.553548276424408,
0.5183199048042297,
0.7930105328559875,
0.3963664174079895,
0.4298226237297058,
-0.18045644462108612,
0.21852701902389526,
-0.30751949548721313,
-1.1546292304992676,
0.201171636581420... |
Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the defi... | yes | 3 | NIv2 | task211_logic2text_classification | zs_opt | [
0.0917942002415657,
-0.21061766147613525,
-0.28379249572753906,
0.2675026059150696,
0.31502649188041687,
-0.23565436899662018,
0.24781154096126556,
0.5961467027664185,
0.0008434965275228024,
-0.1465381383895874,
-0.35394078493118286,
0.21357408165931702,
0.17052853107452393,
0.383849471807... |
Given the task definition and input, reply with output. In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
['5747', 'u', 'i']
| 5747, 21, 9 | 5 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
-0.23595348000526428,
0.49501973390579224,
0.5641480684280396,
-0.3522151708602905,
0.5245541334152222,
-0.5649787783622742,
-0.11871159076690674,
-0.3131977915763855,
0.517684817314148,
-0.424161434173584,
-0.2144678235054016,
0.2046566903591156,
0.31810814142227173,
-0.2320481687784195,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Let me give you an example: Grazas.
The answer to this example can be: Gracias.
Here is why: The Galician sentence is correctly translated into Spanish, because the meaning is preserved.
OK. solve this:
Voulles mostrar ... | Voy a mostrarles algunas partes de nuestro índice. | 8 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-0.820576548576355,
0.9937689304351807,
0.5380895137786865,
-0.34588319063186646,
0.0388200581073761,
-1.8001408576965332,
0.42145854234695435,
0.17565912008285522,
0.18018466234207153,
-0.4039760231971741,
-0.5889207720756531,
0.3581208288669586,
-0.826859712600708,
0.7521474361419678,
... |
Definition: You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Input: System Reference: there is a hotel called in the hotel drisco and in the area of pacific heights.... | 0 | 2 | NIv2 | task1283_hrngo_quality_classification | zs_opt | [
-0.34614723920822144,
0.7059280872344971,
-0.8573577404022217,
-0.08225896954536438,
-0.5983978509902954,
-0.5439490079879761,
1.1788777112960815,
0.19472387433052063,
-0.010479780845344067,
-0.3470001816749573,
-0.641843855381012,
-0.18728016316890717,
-0.670651912689209,
-0.0818949639797... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Option C | 4 | NIv2 | task750_aqua_multiple_choice_answering | zs_opt | [
0.8454461097717285,
0.39045456051826477,
0.0717039629817009,
-0.437949538230896,
-0.19232241809368134,
0.409224271774292,
0.2960529923439026,
1.0908864736557007,
0.025209670886397362,
-0.15039774775505066,
-0.7982892990112305,
-0.5169792175292969,
-0.22138237953186035,
-0.15717867016792297... |
Q: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try t... | I am lost >Causes/Enables> My parents look for me | 7 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
0.25531408190727234,
0.3495485782623291,
-0.43338704109191895,
-0.3490965962409973,
-0.43629178404808044,
-0.9564951658248901,
0.6615291833877563,
1.1742494106292725,
-0.06602446734905243,
-0.19806382060050964,
-0.4441673159599304,
0.0849224403500557,
-0.815635085105896,
-0.261427938938140... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
--------
Question: संघर्ष में 1,200 से अधिक लोग अपनी जान गंवा चुके हैं।
Answ... | "Usually the cases are just closed down because there's no evidence, nobody testifies, and it's impossible to get to the bottom of it."
| 7 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
0.05986269563436508,
-0.14023888111114502,
1.0490461587905884,
-0.12061915546655655,
-0.08976555615663528,
-0.2949967384338379,
-0.18398822844028473,
0.1693868637084961,
-0.10561351478099823,
-0.7326280474662781,
-0.5812797546386719,
-0.14573609828948975,
-0.3318767249584198,
0.69630420207... |
TASK DEFINITION: In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
PROBLEM: Problem: what is the value of â ˆ š 81 % ?
Options: a ) 25 % , b ) 36 % , c ) 42 % , d ) 60 % , e ) 90 %
... | d
| 8 | NIv2 | task1419_mathqa_gain | fs_opt | [
0.23276272416114807,
-0.4291166067123413,
-0.6321672201156616,
0.35584360361099243,
-0.07605169713497162,
-0.08315767347812653,
1.0199775695800781,
1.0762939453125,
-0.27753710746765137,
0.2411898672580719,
-0.822770357131958,
0.13702446222305298,
-0.8904051184654236,
0.21446065604686737,
... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | weakener
| 5 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
-0.31330323219299316,
0.23996488749980927,
-0.5058162212371826,
-0.015623140148818493,
-0.309222012758255,
-0.860693097114563,
0.7762618064880371,
1.3138892650604248,
0.7878276109695435,
-0.242698073387146,
-1.1764631271362305,
-0.23574762046337128,
-0.5177501440048218,
-0.1396701633930206... |
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
[70, 15, 57, -14, -62, 50, -78, -1] | [55, 42, 71, 48, 112, 128, 77] | 0 | NIv2 | task125_conala_pair_differences | zs_opt | [
-0.38890179991722107,
0.4640563130378723,
-0.39939379692077637,
-0.11554494500160217,
-0.44081899523735046,
-0.4566229581832886,
0.8824947476387024,
0.6503819823265076,
0.7562674880027771,
-0.24719229340553284,
-0.12956956028938293,
-0.5740162134170532,
-0.3434596359729767,
0.1203301995992... |
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 | 6 | NIv2 | task115_help_advice_classification | fs_opt | [
0.3739900588989258,
0.29637593030929565,
0.2907658815383911,
-0.3671010732650757,
0.4820821285247803,
-0.9000272750854492,
0.449079304933548,
0.6960060596466064,
0.3112230896949768,
0.4654301404953003,
-0.5325084924697876,
-0.33963099122047424,
-1.0054048299789429,
-0.2135237753391266,
0... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
[Q]: Mas quando se agita, temos a perspectiva do Paquistão.
[A]: でもひと揺すりするとパキスタンの観点になり
[Q]: Isto é muito intuitivo e é isso que queremos.
[A]: とても直観的でそれは好ましいことです
[Q]: E termino por aqui.
[A]: | それでは、ここで終わりたいと思います。
| 5 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
0.004290712997317314,
0.18104350566864014,
0.263334184885025,
-0.43799492716789246,
-0.40995651483535767,
-0.786870002746582,
0.8338543772697449,
0.538729190826416,
0.585968017578125,
0.4130677580833435,
-0.4933825135231018,
-0.17208239436149597,
-0.6807297468185425,
0.4857320785522461,
... |
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 corpus is 'ADJ'... | ADJ
| 7 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.9146071672439575,
0.30998051166534424,
0.031193222850561142,
0.0019317304249852896,
0.06180498003959656,
-0.7672945261001587,
0.7642035484313965,
0.7507981061935425,
-0.5265403985977173,
-0.3407767713069916,
-0.15916818380355835,
-0.06422702968120575,
-0.6663198471069336,
0.5313270092010... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Example: Ora, lungo il percorso, George segnala che la sua tecnologia, la tecnologia della biologia sintetica, sta accelerando molto più velocemente del tasso previsto dalla Legge di Moore.
Example solution: Ao longo do l... | Solution: As contas do iCloud de Jennifer Lawrence e de muitos outros atores foram pirateadas e foram divulgadas na Internet fotos privadas, íntimas e de nudez sem autorização deles. | 5 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
-0.32860371470451355,
0.7409061789512634,
-0.21832698583602905,
-0.2197943478822708,
-0.2677173614501953,
0.2513553500175476,
-0.864959716796875,
1.428609848022461,
-0.702842116355896,
0.033474721014499664,
-0.11090487241744995,
-0.08000285923480988,
-0.22939953207969666,
-0.13513576984405... |
Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
Example Input: Taylor Swift seen on the streets of Manhattan on September 7 2016 in New York City.
Taylor Swift seen on the streets of Ma... | Pat Robertson
| 3 | NIv2 | task419_persent_answer_generation | fs_opt | [
0.24393784999847412,
0.18771710991859436,
-0.27651286125183105,
0.22343847155570984,
0.8818646669387817,
0.199271559715271,
0.3632925748825073,
1.1253623962402344,
-0.20847287774085999,
0.43238309025764465,
0.3312087059020996,
0.296684205532074,
-0.48711681365966797,
-0.2573355436325073,
... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Input: Son tan diferentes?
Output: | Czy bardzo się różnią? | 2 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
-0.30119481682777405,
1.3940341472625732,
-0.017389720305800438,
-0.7795122265815735,
-0.31472551822662354,
-1.3541327714920044,
0.32473722100257874,
-0.31436601281166077,
0.2646375298500061,
0.5156201720237732,
-0.4661722183227539,
0.3101983666419983,
-1.1087851524353027,
0.22084039449691... |
Part 1. Definition
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 with the rest of the story and their... | 3b, 2c | 7 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
0.15487070381641388,
0.35965844988822937,
-0.2846451997756958,
0.2339514195919037,
-0.10864412784576416,
0.00837019830942154,
0.35474973917007446,
0.9978817105293274,
0.14190822839736938,
0.04568147659301758,
-0.9293452501296997,
0.15166838467121124,
-0.07632820308208466,
-0.20008473098278... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
[EX Q]: O bacallau alimentou á maioría dos pobos de Europa Occidental
[EX A]: El bacalao alimentó la mayoría de la población de Europa Occidental.
[EX Q]: Nin unha.
[EX A]: Ni una.
[EX Q]: Os adventistas son metodistas... | Los adventistas son metodistas conservadores.
| 6 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-0.14435634016990662,
0.10634656250476837,
-0.3770603537559509,
-0.808661699295044,
-0.39446961879730225,
-1.4988999366760254,
0.4833683371543884,
0.7853440046310425,
-0.21794995665550232,
-0.34141069650650024,
0.23906376957893372,
-0.40981897711753845,
-1.0106768608093262,
0.3683346211910... |
You are given a sentence and a question in the input. The information provided in the sentence should be enough to answer the question. You're expected to write the correct answer. Do not use any facts other than those provided in the sentence.
Ex Input:
Sentence: Katherine lives with her delinquent brother Caleb .
Q... | George and Laura.
| 1 | NIv2 | task051_multirc_correct_answer_single_sentence | fs_opt | [
-0.042953286319971085,
0.7598274350166321,
-0.12827017903327942,
0.0834743082523346,
-0.10324619710445404,
-0.35318803787231445,
0.383131742477417,
0.46653321385383606,
0.04481738805770874,
-0.3383936882019043,
-0.1306619942188263,
0.6182364225387573,
-0.8965668082237244,
-0.20757968723773... |
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 that action.
Q: PersonX sees PersonY's father
A: | spends time with person's father. | 4 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.2543905973434448,
0.886890709400177,
0.007193489000201225,
-0.6274462938308716,
-1.1143492460250854,
0.3853168785572052,
1.337971806526184,
0.5343409776687622,
0.7163487672805786,
-0.336635947227478,
-0.058154307305812836,
-0.0470840223133564,
-1.0298856496810913,
0.178297221660614,
0... |
In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the choice... | 2
| 3 | NIv2 | task200_mnli_entailment_classification | fs_opt | [
-0.25475990772247314,
0.4837489724159241,
-0.2774594724178314,
0.26197677850723267,
0.8061473965644836,
-0.43711739778518677,
0.10173510015010834,
1.1422481536865234,
-0.0838293582201004,
0.2613135278224945,
-0.2826804220676422,
-0.2262711226940155,
-0.5613675117492676,
-0.5232831239700317... |
Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
[EX Q]: Question: What is connected to, and dependent on, the gametophyte? Answer: the sporophyte
[EX A]: Following fertilization, the sporophyt... | Photosynthesis occurs in the chloroplast, an organelle specific to plant cells.
| 6 | NIv2 | task593_sciq_explanation_generation | fs_opt | [
0.30505844950675964,
0.9140025973320007,
-0.9728169441223145,
0.028628820553421974,
-0.2687452435493469,
-2.0009336471557617,
0.19285890460014343,
0.06922336667776108,
0.04809127748012543,
-0.7166138887405396,
-0.3903732895851135,
0.09294859319925308,
-0.8958341479301453,
-0.13052377104759... |
Given the task definition and input, reply with output. In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Comment: LOL ... | Sexual-explicit | 5 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-1.4014530181884766,
0.2536964416503906,
0.5892398953437805,
0.3570100665092468,
-0.19238293170928955,
0.42317652702331543,
0.01746271550655365,
0.6588541865348816,
0.39187681674957275,
-0.3941022753715515,
0.28912293910980225,
0.04406584054231644,
0.0946345329284668,
-0.47250545024871826,... |
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 ... | look opposite right and jump right thrice
****
| 4 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.5795685052871704,
0.7058095932006836,
-0.42130810022354126,
0.216815784573555,
0.010244605131447315,
0.23915722966194153,
-0.11804694682359695,
0.8738294243812561,
-0.30001306533813477,
-0.21599286794662476,
-0.7730483412742615,
-0.4128076136112213,
-0.5459232330322266,
-0.17799592018127... |
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. You have to classify if there exist more than 2 unique emotions in conversation. If there are more than 2 unique emotions present in the conv... | 0 | 5 | NIv2 | task1535_daily_dialog_uniqueness_classification | zs_opt | [
-0.297929048538208,
0.3135121464729309,
-0.07035396993160248,
0.06360558420419693,
-0.25984781980514526,
-0.12022824585437775,
0.3710809648036957,
0.3020864725112915,
0.38455870747566223,
0.14055074751377106,
-0.3139071464538574,
-0.5586614608764648,
0.23812085390090942,
-0.351471424102783... |
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".
Q: Leslie had to ask Nick for help with their housewarming party because _ had never hosted one before. (A) Leslie (B) Nick
A: | A | 4 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
-0.16253942251205444,
1.3854522705078125,
-0.09762798249721527,
-0.26483353972435,
-0.30994608998298645,
-0.8965786695480347,
0.8164371252059937,
-0.08098055422306061,
0.1750534176826477,
0.7394806146621704,
0.16828086972236633,
-0.22477295994758606,
-0.23477625846862793,
-0.10827548801898... |
Definition: In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Input: how does it feel to be everywhere how does it feel to know i don't care sad
Output: | sad | 2 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-0.9875973463058472,
0.07948523759841919,
0.7035515308380127,
-0.778397798538208,
-0.08330583572387695,
-0.5159941911697388,
1.2563499212265015,
-0.19906902313232422,
0.8216245174407959,
-0.22025057673454285,
-0.3667607307434082,
-0.03247539699077606,
-0.5722808241844177,
-0.00428672693669... |
This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
Example input: ఇల్లు అందంగా ఉంది
Example output: Telugu
Example explanation: The language is Telugu so it is correct.
Q: ఫీచర్ ఉచిత మరియు పూర్తి వెర్షన్ రెండు మద్దతు ఉంది.
A: | Telugu | 3 | NIv2 | task1618_cc_alligned_classify_tel_eng | fs_opt | [
-0.20492759346961975,
0.919728696346283,
0.5950033068656921,
-0.13834108412265778,
0.6978387832641602,
-1.4618537425994873,
0.34049636125564575,
0.6465418934822083,
0.24392127990722656,
-0.21794280409812927,
-0.4271842837333679,
-0.13168105483055115,
-0.6285446882247925,
-0.388964265584945... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: Quello che abbiamo fatto è stato creare delle economie.
Student: | Hemos creado economías. | 6 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.14440087974071503,
0.9476815462112427,
0.3725854456424713,
-0.3132997751235962,
-0.652724027633667,
-0.7708393931388855,
-0.2801729440689087,
1.339178204536438,
0.15098540484905243,
-0.682783842086792,
-0.1308867335319519,
-0.1947716623544693,
-0.5414689183235168,
-0.7303712368011475,
... |
In this task, you are given a conversation, and your task is to generate a summary from the information present in the given conversation. Generate a summary in such a way that the context should be present in the conversation. It should cover the complete context of the conversation.
Q: Averi: Can you come over my p... | Averi wants to show Emest his collection of coins. He's been collecting them for 3 years. Emest will look at it tomorrow. | 4 | NIv2 | task1572_samsum_summary | zs_opt | [
0.5933290719985962,
1.0569071769714355,
0.24784882366657257,
-0.7245337963104248,
-0.4245131313800812,
-0.6291778683662415,
0.08108487725257874,
0.1254836618900299,
0.26448696851730347,
0.05677587538957596,
-0.09597444534301758,
0.7212765216827393,
-0.06045006215572357,
0.07330299913883209... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
--------
Question: 病理学のケースでは診断においてがん細胞だけでなくがんの周囲の細胞も重要であることを発見しました
Answer: در این مورد آسیب شناسی ، سیستم رایانه ای در واقع فهمید که سلولهای اطراف سرطان به اندازه ی خود سلولهای سرطانی در رسیدن به تشخیص مهم هستن.
Question... | سینتیا بریزیل: خود شخصیت های بازی به دنیای شما وارد شوند ؟
| 7 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
-0.17673107981681824,
0.1806344985961914,
-0.6432400941848755,
-0.14578032493591309,
-0.5149418115615845,
-0.7158663272857666,
1.2504876852035522,
0.08534161746501923,
0.47023069858551025,
-0.03014250472187996,
-0.6051319241523743,
0.3117123544216156,
-0.939938485622406,
0.465864896774292,... |
TASK DEFINITION: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
PROBLEM:... | wanting to confront my sister about blatant lies against our father
| 8 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.4503254294395447,
0.08687802404165268,
-0.1387253999710083,
0.11543029546737671,
0.6661514639854431,
0.16466382145881653,
0.8955247402191162,
1.2122148275375366,
-0.34261345863342285,
-0.22477617859840393,
0.2951166033744812,
0.9093443751335144,
-0.9417237639427185,
0.013735726475715637,... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Q: On the way there it's going to completely revolutionize medicine and health care; that's obvious.
A: | Y de paso va a revolucionar por completo la medicina y el cuidado de la salud, evidentemente. | 9 | NIv2 | task1219_ted_translation_en_es | zs_opt | [
0.2545025944709778,
1.2460615634918213,
0.10229695588350296,
-0.879058837890625,
-0.16687968373298645,
-0.9400758743286133,
-0.12787359952926636,
1.7246063947677612,
0.714510977268219,
-0.6601173877716064,
0.5271514654159546,
0.014995723962783813,
0.47621434926986694,
-0.1758318990468979,
... |
TASK DEFINITION: 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 avai... | No
| 8 | NIv2 | task357_casino_classification_negotiation_small_talk | fs_opt | [
0.33521485328674316,
0.5243232250213623,
-0.6953457593917847,
0.2089986950159073,
-0.3968377411365509,
-0.6397852897644043,
1.2326258420944214,
0.7238832712173462,
-0.5429872274398804,
0.24620893597602844,
0.034662071615457535,
0.19756783545017242,
-0.8300846815109253,
0.02988259308040142,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Q: Esto es Ohio.
A: To Ohio.
****
Q: La democracia no es simplemente una cuestión de estructuras.
A: Demokracja to nie kwestia struktury.
****
Q: No son las cosas simples, simplificadas, que vemos en la matemática de la e... | To nie banalne zadania znane ze szkoły.
****
| 4 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-0.7221231460571289,
0.9559286236763,
0.13241666555404663,
-0.3193112313747406,
-0.46996361017227173,
-1.1287044286727905,
1.0723299980163574,
0.22607694566249847,
0.13458816707134247,
-0.26672226190567017,
-0.18904516100883484,
-0.0625099316239357,
0.06404423713684082,
0.32664915919303894... |
Definition: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i a... | 6619 | 2 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
-0.0489303283393383,
0.4773233234882355,
-0.7513453364372253,
-0.5994700789451599,
0.04430313780903816,
0.2310085892677307,
0.2719900608062744,
-0.0043393769301474094,
-0.3315240740776062,
-0.008480964228510857,
-0.7157504558563232,
0.7005778551101685,
0.3627215623855591,
-0.29722309112548... |
instruction:
Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that... | no
| 9 | NIv2 | task361_spolin_yesand_prompt_response_classification | fs_opt | [
0.4570152163505554,
0.37539905309677124,
0.5743075609207153,
0.7269954085350037,
0.3839881122112274,
-0.9607840776443481,
-0.07406391203403473,
0.7849382162094116,
-0.173882395029068,
0.2171366810798645,
-0.4910002648830414,
-0.19095858931541443,
-0.6670664548873901,
-0.0824965089559555,
... |
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.
This is one of the most disappointing purchases I have made on Amazon.The book is one long, myopic, libertarian apology.
Output: | Negative | 1 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.5050700306892395,
-0.5835126042366028,
0.5873034000396729,
-0.5211454629898071,
0.7878836393356323,
0.18574120104312897,
0.8801633715629578,
0.35841912031173706,
0.05537521094083786,
0.8486355543136597,
-0.4348030090332031,
-0.7389277815818787,
-0.4416515827178955,
-0.6674568057060242,
... |
Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
Input: ['S', 'A', 'a', 'T', 'y', 'E', 'e', 'R', '4439', 'm', 'P', 'C', 't', 'o', 'z', '9851', '6261', '2055... | S, A, a, T, y, E, e, R, m, P, C, t, o, z | 3 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
0.5262932777404785,
0.9176364541053772,
-0.42966145277023315,
0.04210525006055832,
0.25308623909950256,
-0.30920103192329407,
0.12978129088878632,
-0.6386209726333618,
0.04697571322321892,
0.3402801752090454,
-0.31782910227775574,
-0.0772070661187172,
0.0602702870965004,
-0.466306746006011... |
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 have to generate the title of the recipe given its required ingredients and directions.
ingredients: '1 cup minced onion', '1 1/2 tablespoons lemon juice', '3/4 teaspoon Hungarian ... | Congealed Salad | 0 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.5569977164268494,
0.869431734085083,
-0.2523573040962219,
0.8470529317855835,
0.04918375238776207,
-0.40125781297683716,
0.4088919162750244,
0.4840458631515503,
-0.6747033596038818,
-0.2993808388710022,
-0.1324591487646103,
-0.28204742074012756,
-0.20587292313575745,
-0.0954364687204361,... |
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the... | customer: I am comfortable with any class. | 0 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
0.63921058177948,
0.3748758137226105,
-0.7788441181182861,
-0.7698350548744202,
0.6093935966491699,
-0.2003306895494461,
1.128464937210083,
0.1640162467956543,
-0.3556232750415802,
0.46079933643341064,
0.3804457187652588,
0.06499823927879333,
-0.4154573082923889,
0.4259847402572632,
-0.4... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Състав на Парламента: вж. протоколи
Solution: Membership ... | Written Statement (Rule 142) | 0 | NIv2 | task271_europarl_translation | fs_opt | [
-0.3498402237892151,
0.3464738130569458,
0.36348196864128113,
0.3069157004356384,
0.0288688987493515,
-0.19812585413455963,
1.4797331094741821,
-0.6091313362121582,
0.43532902002334595,
-0.15386101603507996,
0.0977620780467987,
0.47024005651474,
0.05791552737355232,
0.5229125022888184,
0... |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: According to Beaver, the submarines would provide Israel with both firs... | ビーバーによると、潜水艦は先制攻撃と二次攻撃の両方の能力をイスラエルに提供するだろう。 | 4 | NIv2 | task435_alt_en_ja_translation | zs_opt | [
-0.5491549968719482,
0.184463769197464,
0.374411940574646,
-0.42173510789871216,
0.6400811672210693,
0.44215548038482666,
1.3413127660751343,
0.09794195741415024,
0.42475026845932007,
-0.1326056718826294,
-0.0288247037678957,
-0.1923597902059555,
-0.6425492763519287,
-0.4342566132545471,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.