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 |
|---|---|---|---|---|---|---|
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.
Input: Consider Input: Sentence 1: 30% is a decrease in concentration or depos... | Output: no
| 2 | NIv2 | task199_mnli_classification | fs_opt | [
-0.7951998710632324,
0.18162201344966888,
0.19920626282691956,
-0.23934721946716309,
0.06181057542562485,
-0.927070677280426,
0.4825679063796997,
1.1226131916046143,
0.5878808498382568,
0.03782190382480621,
-0.20559823513031006,
-0.4542379379272461,
-0.3381827473640442,
-0.1713957339525222... |
Given the task definition and input, reply with output. 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 y... | My football ends up on the roof of the school >Causes/Enables> I ask my dad for a ladder | 5 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
-0.6045739650726318,
0.7192932367324829,
0.10530249029397964,
0.0455922931432724,
-0.3771500289440155,
-0.08618661761283875,
0.21211335062980652,
1.1387536525726318,
-0.13726608455181122,
-0.08911987394094467,
-0.8005359172821045,
0.15990446507930756,
-0.6495261192321777,
0.133967339992523... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Sentence1: Timmy had to renew ... | He drove back home after an exhausting day. | 1 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.6882877349853516,
0.9394484758377075,
0.5492514371871948,
-0.8472402691841125,
-0.2371412217617035,
0.013743672519922256,
0.15816694498062134,
0.3123132586479187,
0.5339677333831787,
0.19296395778656006,
-0.5574259757995605,
-0.4252665638923645,
0.22843672335147858,
0.1523275524377823,
... |
In this task, you are given dvd product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Q: これがロリコンだ！！！ . ロリコンとは何か。答えはこの映画に隠されている。と、思った以上に普通じゃん？と思わせる。内容。実はロリコンとは私達が作り上げた女性崇拝の妄想なのです... | POS | 4 | NIv2 | task486_cls_japanese_dvd_classification | zs_opt | [
-0.513741135597229,
-0.02232939749956131,
0.19402362406253815,
-0.1447795033454895,
0.11013087630271912,
0.047783419489860535,
0.4903101921081543,
0.4153852164745331,
-0.10706603527069092,
-0.2303251326084137,
-0.36852771043777466,
-0.28287625312805176,
0.2326313853263855,
-0.1292095929384... |
Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.
I... | Output: Kids & Vitamin D: New recommendation: Double the dose
| 2 | NIv2 | task1368_healthfact_sentence_generation | fs_opt | [
0.7616145610809326,
0.6867730617523193,
0.084387868642807,
-0.7987719774246216,
0.3855937123298645,
-0.5102038383483887,
0.5839996337890625,
0.9900034070014954,
-0.38039809465408325,
0.6586138606071472,
-0.7315427660942078,
0.3936549425125122,
-0.9385650753974915,
0.4546358585357666,
-0.... |
You will be given a definition of a task first, then some input of the task.
A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
State Name
Output: | ریاست کانام | 1 | NIv2 | task1057_pib_translation_english_urdu | zs_opt | [
-0.2307491898536682,
0.9459196329116821,
-0.6612937450408936,
-0.3509490489959717,
-0.06233518570661545,
0.11360548436641693,
0.8888431787490845,
0.26251015067100525,
-0.14873504638671875,
-0.13129514455795288,
-0.27070149779319763,
-0.17293186485767365,
-0.17196005582809448,
-0.2941303849... |
Detailed Instructions: In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an emp... | [1, 2, 7] | 4 | NIv2 | task098_conala_list_intersection | fs_opt | [
0.4909904897212982,
0.07718439400196075,
-0.49660128355026245,
-0.2625108063220978,
0.27554354071617126,
0.11997658759355545,
0.9989492893218994,
0.2843629717826843,
0.07297039031982422,
0.3045760989189148,
-0.7694856524467468,
-0.5259140133857727,
-0.27979597449302673,
0.0917414203286171,... |
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 questions shoul... | Question: What is the name of the priest turned sorcerer?, Answer: Malachi | 6 | NIv2 | task182_duorc_question_generation | fs_opt | [
0.39856991171836853,
0.25321173667907715,
0.0014299658359959722,
-0.380717396736145,
0.2500910758972168,
-0.20233623683452606,
0.31937551498413086,
0.4187733829021454,
0.12499148398637772,
-0.2365306317806244,
-0.2789956331253052,
0.16372787952423096,
-0.8618475198745728,
-0.34747403860092... |
Instructions: 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 availab... | Yes | 3 | NIv2 | task359_casino_classification_negotiation_vouch_fair | zs_opt | [
-0.31950560212135315,
0.5026042461395264,
-0.152901291847229,
0.31033268570899963,
-0.8876304626464844,
-0.32092201709747314,
1.1955474615097046,
0.4075971841812134,
0.21481084823608398,
0.11629663407802582,
0.07724840939044952,
-0.01995815336704254,
-0.3416644036769867,
-0.252221286296844... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
What brand sponsored season 4?, Context: The top ten (eleven in season ten) toured at the end of every season. In the season twelve tour a semi-finalist who won a sing-off was also added to the tou... | Kellogg's Pop-Tarts | 0 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.17131438851356506,
1.453311800956726,
-0.022004319354891777,
0.12364833801984787,
-0.12874096632003784,
-0.02321082167327404,
-0.22132240235805511,
-0.36661913990974426,
-0.04916074126958847,
-0.09799708425998688,
-0.14481326937675476,
0.17136122286319733,
-0.37203139066696167,
-0.531887... |
instruction:
In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
qu... | 9 | NIv2 | task390_torque_text_span_selection | fs_opt | [
0.48188650608062744,
-0.3825804591178894,
-0.7956382036209106,
-0.42606252431869507,
-0.3465177118778229,
0.6495864391326904,
0.8201537132263184,
0.45540404319763184,
-0.03731812536716461,
0.5154139995574951,
0.28401803970336914,
0.019722837954759598,
-0.4004436433315277,
0.701142787933349... | |
TASK DEFINITION: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
PROBLEM: Some of these items have - safely - gone on display in a Leeds museum. Here's a quick guide to the domestic dangers of yesteryear. Household horrors This glass table centrepiece... | The owner of the Wrightbus factory has said he has not been able to reach a deal to sell it to a new owner.
| 8 | NIv2 | task1357_xlsum_summary_generation | fs_opt | [
0.5854840278625488,
0.630950927734375,
-0.8628203868865967,
-0.14633682370185852,
0.5525011420249939,
-0.347914457321167,
0.595084011554718,
0.7585717439651489,
-0.35543152689933777,
0.26459312438964844,
-0.35254019498825073,
0.7087000608444214,
-0.5002302527427673,
0.06018637865781784,
... |
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Q: Personality: I'm in c... | I do not blame you its a new place.
****
| 4 | NIv2 | task1729_personachat_generate_next | fs_opt | [
-0.2721065282821655,
0.20769049227237701,
-0.6743465662002563,
-0.3448805809020996,
-0.11117251217365265,
0.16145741939544678,
0.8155772686004639,
0.5223547220230103,
-0.14767082035541534,
-0.04927634820342064,
0.5491406917572021,
0.780982255935669,
-0.31860220432281494,
0.1278910785913467... |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common'... | royalty
| 7 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
-0.20015336573123932,
0.2826031446456909,
-0.08739307522773743,
-0.5051097273826599,
0.5237811207771301,
-0.15073537826538086,
0.3424224853515625,
0.29303550720214844,
-0.2369198501110077,
-0.050589028745889664,
-0.12901747226715088,
0.2519778907299042,
-0.3114950954914093,
-0.035732440650... |
Detailed Instructions: You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
Q: concept: Christina Aguilera answers: ['Staten Island']
A: | where is christina aguilera from? | 9 | NIv2 | task1602_webquestion_question_genreation | zs_opt | [
0.27527254819869995,
0.16030852496623993,
-1.0046700239181519,
-0.9688236117362976,
0.8971267938613892,
-1.325822114944458,
-0.40076643228530884,
0.3548710346221924,
0.1680450290441513,
-0.7635228633880615,
0.6927010416984558,
-0.3724933862686157,
-0.4140218496322632,
-0.6983807682991028,
... |
instruction:
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
question:
Sentence 1: Most... | neutral
| 9 | NIv2 | task1554_scitail_classification | fs_opt | [
0.003657305147498846,
0.6449635028839111,
-0.048052214086055756,
-0.030942903831601143,
-0.24397435784339905,
-1.2771751880645752,
-0.21754665672779083,
0.6264187693595886,
-0.18055757880210876,
-0.15116676688194275,
-0.6243594288825989,
-0.3991151750087738,
-0.644476592540741,
-0.09169417... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Tagalog sentence: Malaki naman ang panghihinayang ni Gilas Coach Tab Baldwin dahil sa magaling at malaki aniya ang karanasan ni Tenorio sa paglalaro sa international basketball. | Kabilang sa mga inaasahang magiging starting lineup sina Andray Blatche at Japeth Aguilar na pawang “Bigman” ng Philippine national basketball team. | 0 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
-0.39030325412750244,
0.5367343425750732,
-0.13640333712100983,
-0.5324810743331909,
0.261637806892395,
-0.7953939437866211,
-0.06927461922168732,
0.1938890516757965,
0.4440096318721771,
-0.28733041882514954,
-0.5848244428634644,
0.23668323457241058,
-0.504543662071228,
0.18465259671211243... |
Part 1. Definition
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 the one that makes less sense.
Part ... | 2 | 7 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
-0.24179324507713318,
0.012563487514853477,
0.5463368892669678,
-0.3329548239707947,
0.18507543206214905,
-0.23297443985939026,
0.10365305095911026,
0.8162698745727539,
-0.03325437754392624,
-0.02026217058300972,
-0.6505311131477356,
-0.01819417253136635,
-0.17879366874694824,
-0.551627159... |
TASK DEFINITION: In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
PROBLEM: she's asleep, we should ke... | first
| 8 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
0.3287481963634491,
0.6684388518333435,
-0.02699938602745533,
-0.5246025323867798,
-0.4048553705215454,
0.10257306694984436,
0.6235371828079224,
0.027420880272984505,
0.2623278796672821,
0.012985488399863243,
-0.6517013907432556,
-0.7720175981521606,
-0.73946213722229,
-0.5167385339736938,... |
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
Example Input: [-46.113, 125.487, 133.801, 230.... | 147.304
| 3 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.15908785164356232,
0.23121130466461182,
-1.039716124534607,
-0.8167392015457153,
0.14183717966079712,
0.31426599621772766,
0.6266072988510132,
0.4815063774585724,
-0.16389283537864685,
0.09843096137046814,
-1.2145607471466064,
0.4969835877418518,
-0.7146002054214478,
0.07652154564857483... |
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 abbreviat... | Description | 3 | NIv2 | task1289_trec_classification | zs_opt | [
-0.291703999042511,
-0.46044889092445374,
-0.048072610050439835,
0.34698647260665894,
-0.10414312779903412,
-0.9847644567489624,
0.21644136309623718,
0.40805384516716003,
-0.20464947819709778,
-0.1257990598678589,
-0.8626683950424194,
-0.07570251822471619,
-0.26759618520736694,
0.295889347... |
Teacher: You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Teacher: Now, understand the problem? If you are still confused, see the following example:
EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować ponownie w ciągu kilku minut.
Solution: ایلان: درسته... | قلب دارد چون باید دارای شور ، عشق و روج باشد. | 2 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.4027305245399475,
0.6918708086013794,
0.6040408611297607,
-0.34056758880615234,
-0.5730050802230835,
0.022047754377126694,
1.5611510276794434,
-0.21177668869495392,
-0.35650014877319336,
-0.8198004364967346,
-0.6567915678024292,
0.7829509973526001,
-0.7946733236312866,
0.489164233207702... |
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Q: Context: Diabetic cardiomyopathy (DCM) is associated with suppressed autophagy and augmented apoptosis in the heart although the interplay betwe... | These results suggest that benidipine inhibited LPC-induced endothelial dysfunction by maintaining increase in [Ca2+]i. Benidipine possesses membrane stabilization properties in LPC-treated endothelial cells. It is speculated that the preservation of membrane fluidity by benidipine may play a role in the retainment of ... | 4 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.3950002193450928,
0.07062980532646179,
-0.4304748773574829,
0.05334259569644928,
0.5470831990242004,
0.056047145277261734,
0.5733613967895508,
1.0062885284423828,
0.30900001525878906,
0.009431399405002594,
-0.7678314447402954,
-0.06385017931461334,
-0.4946821928024292,
0.3530046343803406... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
One example: وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة مرة أخرى للتأكد.
Solution is here: و آنگاه آنها کُد می نوشتند ، معمولا ک... | اولین تکه پازل ، دورافتادگی و کیفیت آموزش است. | 6 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.6651971936225891,
0.13046637177467346,
-0.467628538608551,
-0.6547564268112183,
-0.044848449528217316,
-0.18011391162872314,
1.2926380634307861,
0.022158335894346237,
-0.1404416263103485,
-0.46550464630126953,
-0.7145516872406006,
-0.18615785241127014,
-0.20882123708724976,
0.1420933008... |
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
Problem:നൈപുണ്യാധിഷ്ഠിത വിദ്യാഭ്യാസമെന്ന ആശയത്തെ കൂടുതല് പ്രതീക്ഷകളോടെ സമീപിക്കുന്ന സാഹചര്യം സൃഷ്ടിക്കപ്പെടുകയും അതോടെ കൂടുതല് വിദ... | कौशल आधारित शिक्षा के विचार को आकांक्षी आचरण के रूप में देखा जाएगा, जिससे छात्रों को कौशल आधारित शैक्षिक पाठ्यक्रमों में हिस्सा लेने का प्रोत्साहन मिलेगा। | 8 | NIv2 | task1018_pib_translation_malayalam_hindi | zs_opt | [
-0.15604917705059052,
0.07832106947898865,
0.82555091381073,
-0.19054892659187317,
-0.405061274766922,
-0.56887286901474,
0.21267302334308624,
0.7116748690605164,
0.03983083367347717,
-0.1189056932926178,
-0.07285377383232117,
-0.8776825666427612,
-0.7652084231376648,
0.3680385649204254,
... |
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
even if shes talkin for women i as a male was really motivated by her. I always wanted to be an engineer but i la... | Hope Speech | 0 | NIv2 | task679_hope_edi_english_text_classification | zs_opt | [
-0.26560693979263306,
0.19421689212322235,
0.21812695264816284,
-0.364327996969223,
-0.22128060460090637,
-1.215529441833496,
0.29516056180000305,
0.8533703088760376,
0.5029009580612183,
0.37831002473831177,
-0.3855966329574585,
0.08893372863531113,
-0.23628592491149902,
-0.076307132840156... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: I znowu możemy zmierzyć redukcję zużycia energii.
Student: | E di nuovo, possiamo misurare la riduzione in termini di consumo energetico. | 6 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
-0.6147360801696777,
1.1405035257339478,
-0.026437651365995407,
-0.746904730796814,
-0.44690102338790894,
-0.8804504871368408,
0.6894205808639526,
0.8101948499679565,
0.08460202813148499,
-0.44202032685279846,
-0.11664388328790665,
0.06406450271606445,
-0.1354960948228836,
-0.1608548313379... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: The first month we tried ... | Bad review | 6 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.6542991399765015,
0.30509403347969055,
-0.07754406332969666,
-0.449148029088974,
0.3541491627693176,
-0.9086779356002808,
0.7835807204246521,
0.9596586227416992,
-0.000829008175060153,
0.7320569753646851,
0.08312677592039108,
0.5207905769348145,
-0.2857676148414612,
-0.5225639939308167,... |
TASK DEFINITION: You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses... | Yes.
| 8 | NIv2 | task050_multirc_answerability | fs_opt | [
-0.2247236967086792,
0.6076574325561523,
0.4092704653739929,
0.49547022581100464,
-0.16391262412071228,
-1.0549323558807373,
0.7323523163795471,
0.7712792754173279,
-0.012797262519598007,
-0.027950715273618698,
0.2116776704788208,
0.43431323766708374,
-0.6774758100509644,
0.155934825539588... |
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the auth... | yes
| 0 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.22862496972084045,
0.07781298458576202,
0.4296281933784485,
0.09212402999401093,
0.4193859100341797,
-0.6895476579666138,
0.5112773776054382,
0.9565283060073853,
-0.21441802382469177,
-0.1268686056137085,
0.016508731991052628,
0.4167631268501282,
-0.078475221991539,
0.2925851345062256,
... |
Definition: In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
Input: You might find diamonds on a menu... | first | 2 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
-0.049162812530994415,
0.3846443295478821,
-0.38509678840637207,
-0.5824031829833984,
-0.41984015703201294,
0.033454298973083496,
0.16229799389839172,
0.47859513759613037,
0.4277302026748657,
0.2959912419319153,
-0.12656839191913605,
-0.7078087329864502,
-0.9440504908561707,
0.110903456807... |
Instructions: Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is ... | Bad | 3 | NIv2 | task673_google_wellformed_query_classification | zs_opt | [
-0.48682907223701477,
0.9046258926391602,
0.05909667909145355,
-0.030847540125250816,
-0.23850710690021515,
-0.5703078508377075,
0.024975640699267387,
0.4185159206390381,
-0.025594258680939674,
0.2405395209789276,
-0.9305106401443481,
0.02713257446885109,
-0.7761871218681335,
-0.1326826065... |
Definition: Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
Input: entity: picture frame
before: at store
after: purchased
attr: availability
Output: | availability of picture frame was at store before and purchased afterwards | 2 | NIv2 | task1631_openpi_answer_generation | zs_opt | [
0.20714518427848816,
-0.10973731428384781,
-0.4656916856765747,
0.35401469469070435,
-0.33772534132003784,
-0.9168399572372437,
-0.3527420461177826,
0.7626152634620667,
0.5169095993041992,
-0.23711884021759033,
0.17480382323265076,
-0.25699883699417114,
-0.7900248169898987,
0.1357961297035... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Q: Y esta noche, ustedes podrán ver el dispositivo en la carpa.
A: והערב, תוכלו לראות את המכשיר באוהל.
****
Q: Pueden imaginar homrigas en uno de ellas pensando que es un universo bidimensional, sin estar concientes de otr... | על כל אחת מאלה ניתן ללחוץ ונוכל להגדיל אותה.
****
| 4 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-1.4835222959518433,
0.5963271260261536,
0.09182428568601608,
-0.016512105241417885,
-0.7324879169464111,
-0.3352352976799011,
0.8308748006820679,
0.6109699606895447,
0.2634378671646118,
-0.27363497018814087,
-0.4995271563529968,
0.6685054898262024,
-0.25959673523902893,
0.0748238265514373... |
Teacher:In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though ther... | Hollywood | 6 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
0.4272953271865845,
0.10184785723686218,
-0.057352084666490555,
-0.9818136692047119,
-0.2514551281929016,
-0.8582711219787598,
0.2876519560813904,
0.5912837982177734,
0.5090687870979309,
-0.2852311134338379,
-0.6832467317581177,
0.8372944593429565,
-0.04958866909146309,
-0.2392274141311645... |
You will be given a definition of a task first, then some input of the task.
We would like you to classify each of the following sets of argument pairs (discussing Gay Marriage) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argu... | Not similar | 1 | NIv2 | task147_afs_argument_similarity_gay_marriage | zs_opt | [
-0.43810972571372986,
0.45940083265304565,
0.45160090923309326,
-0.18937227129936218,
0.39111170172691345,
-0.3066394031047821,
0.48771417140960693,
0.5185810327529907,
0.08199553191661835,
0.10460898280143738,
-0.4398431181907654,
0.316913366317749,
-0.5351611375808716,
-0.378521144390106... |
Q: 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.
['R', 'R', '1363', '2313', '8851', 'X', 'W', '1657', 'i', '3281', '3933', 'j', '167', '5339', 'Z',... | 18, 18, 1363, 2313, 8851, 24, 23, 1657, 9, 3281, 3933, 10, 167, 5339, 26, 1601, 7, 9581, 271, 24, 8455, 10, 4199, 4, 8, 1673, 8579, 22, 3219, 17, 1101, 9493 | 7 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
-0.6691566705703735,
0.3473050892353058,
0.5812447667121887,
-0.4173412621021271,
-0.09305442869663239,
-0.4560522139072418,
-0.311595618724823,
-0.18996603786945343,
0.23929524421691895,
-0.5020727515220642,
-0.16606475412845612,
-0.4492163062095642,
0.034618083387613297,
-0.2938538491725... |
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 conjunction, CD: Cardinal number, DT: Determiner, EX: Existential... | VBN | 6 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
0.49477043747901917,
0.4886710047721863,
-0.20814819633960724,
0.48346996307373047,
0.16065511107444763,
-1.0398300886154175,
0.7804470658302307,
0.7429971694946289,
-0.7168633937835693,
0.06093220412731171,
-0.16912060976028442,
0.3303418755531311,
-0.3730684518814087,
0.22291462123394012... |
A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: نیتی آیوگ مرکزی اور ریاستی حکومتوں کے صلاح و مشورے سے ایک خامیوں سے پاک طریقہ کار وضع کرے گا تاکہ کسانوں کو ان کی مصنوعات کے لئے مناسب قیمت مل سکے۔
A: | આ માટે નીતિ આયોગ કેન્દ્ર અને રાજ્ય સરકારો સાથે મળીને ફૂલ-પ્રુફ વ્યવસ્થા ગોઠવવા માટે પ્રયાસ કરી રહ્યું છે, જેથી ખેડૂતોને તેમની ખેત પેદાશોના પૂરતા ભાવ મળી રહે. | 4 | NIv2 | task1002_pib_translation_urdu_gujarati | zs_opt | [
-0.2948494851589203,
0.13769206404685974,
-0.09937325119972229,
-0.0915578305721283,
-0.2967267334461212,
-0.98003089427948,
0.8623360395431519,
0.05725513771176338,
-0.9298287630081177,
-0.2252182960510254,
-0.8148068785667419,
0.014580892398953438,
-0.41570302844047546,
0.651192247867584... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will b... | Original | 1 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.8903874158859253,
0.6529113054275513,
0.5217022895812988,
0.1824311763048172,
0.298695832490921,
-0.6214675307273865,
0.2220562994480133,
1.496637225151062,
-0.0218125618994236,
0.059380024671554565,
-0.7673759460449219,
-0.6612407565116882,
-0.4299038350582123,
-0.22556665539741516,
... |
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... | 35
| 3 | NIv2 | task218_rocstories_swap_order_answer_generation | fs_opt | [
0.2953522801399231,
-0.10062318295240402,
-0.40220633149147034,
-0.11332371085882187,
0.33841168880462646,
-0.32220712304115295,
0.2192550003528595,
1.0579626560211182,
-0.343101441860199,
-0.1271459460258484,
-0.8933798670768738,
0.4108472466468811,
-0.7418585419654846,
-0.100512936711311... |
Instructions: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive... | Hate Speech | 3 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-1.0356836318969727,
0.43173518776893616,
0.4003238379955292,
0.46295633912086487,
-0.4829930067062378,
-0.41907376050949097,
0.049189236015081406,
0.7032424807548523,
0.40243232250213623,
0.41445744037628174,
-0.8144919276237488,
-0.17664563655853271,
-0.36153650283813477,
-1.103911042213... |
Definition: A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: हम गोली और गाली के रास्ते पर नहीं, गले लगा करके कश्मीर के देशभक्ति से जीने वाले लोगों के साथ आगे बढ़ना चाहते हैं।
Output: | బుల్లెట్లు, దురాగతాలు జరపడం కాకుండా, దేశ భక్తులైన కశ్మీరీ ప్రజలను అక్కున చేర్చుకుని మరింత ముందుకు సాగాలనుకొంటున్నాం. | 2 | NIv2 | task1045_pib_translation_hindi_telugu | zs_opt | [
-0.07834261655807495,
0.27507057785987854,
-0.09859375655651093,
0.2910166382789612,
-0.4617902636528015,
-1.0208064317703247,
0.7380218505859375,
-0.18355262279510498,
-0.4091408848762512,
-0.11495983600616455,
-0.48676618933677673,
-0.12098101526498795,
0.0128838662058115,
0.197298020124... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to provide the correct option for a given problem from the provided options.
Example: Problem: jo ' s collection contains us , indian and british stamps . if the ratio of us to indian stamps is 6 to 2 and the ratio of in... | a | 1 | NIv2 | task1421_mathqa_other | fs_opt | [
-0.056765876710414886,
0.37797117233276367,
-0.12073418498039246,
0.230015367269516,
0.18741776049137115,
-0.08628660440444946,
0.1151786744594574,
1.4319626092910767,
0.3294857144355774,
-0.08442864567041397,
0.09142577648162842,
0.0867215022444725,
0.02211301401257515,
-0.141110107302665... |
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Q: how many episodes in season 1 the goo... | 10 | 4 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
0.04944290220737457,
0.5325208902359009,
0.4679638147354126,
-0.6246708631515503,
-0.04349971562623978,
-0.8243314027786255,
0.8997541666030884,
0.07856601476669312,
-0.1043584942817688,
-0.17302945256233215,
-0.8238548636436462,
0.15787506103515625,
-1.1224943399429321,
-0.216463640332221... |
You will be given a definition of a task first, then some input of the task.
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Relationship: 'be invade by', Argument/Subject 1: 'tibet', Argument/Subject 2: 'china'
Output: | China invaded Tibet in 1950-51 . | 1 | NIv2 | task677_ollie_sentence_answer_generation | zs_opt | [
0.04340418428182602,
0.4347679913043976,
-0.3156561851501465,
-0.007974568754434586,
0.033859215676784515,
-0.28819191455841064,
0.16718995571136475,
0.49094635248184204,
0.013003557920455933,
-0.04972647875547409,
0.21545353531837463,
-0.3513859510421753,
0.20463140308856964,
-0.110252469... |
Detailed Instructions: Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'space... | film | 9 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
-0.12859058380126953,
0.4920976758003235,
-0.18479950726032257,
-0.3162502348423004,
0.45323988795280457,
-0.15398578345775604,
-0.03664259612560272,
0.3214239776134491,
-0.19421696662902832,
0.039032287895679474,
-0.3650200664997101,
-0.1064131036400795,
-0.21965059638023376,
-0.416011095... |
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Why I love my Kindle: - I don't have to turn the pages, so I can read with just one hand. - Its feel and style still give that \\"book\\" experience. - Since the buttons are on both sides, I can hold it wi... | Why I love my Kindle | 0 | NIv2 | task1342_amazon_us_reviews_title | zs_opt | [
-0.04582831263542175,
0.6661189794540405,
-0.3439911901950836,
-0.933152437210083,
0.009465423412621021,
-0.49254852533340454,
1.0506175756454468,
0.2961084544658661,
0.3175499439239502,
0.2819390594959259,
0.4043966233730316,
-0.15319779515266418,
-1.3038543462753296,
-0.08444246649742126... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
Example input: ingredients: '1 cup minced onion', '1 1/2 tablespoons lemon juice', '3/4 teaspoon Hungarian paprika', '3/4 teaspoon ground cayenne pepper', '1/4 teaspoon salt', <sep> directions: 'Rinse onions in si... | Diamonds In The Mine | 3 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.8207604289054871,
0.8121539354324341,
-0.18731310963630676,
0.5664963126182556,
0.13034069538116455,
-0.9171933531761169,
0.28342217206954956,
0.889165997505188,
-0.6146526336669922,
-0.2914045453071594,
0.1394634246826172,
0.09124047309160233,
-0.8872283101081848,
0.057179562747478485,
... |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
One example: But Eluned Morgan conceded that it would be "difficult for us to stop" from a legal point of view. Her comments were criticised by a Labo... | Home wi-fi '30% slower' than fixed broadband | 6 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.13214275240898132,
1.0637460947036743,
-0.29381251335144043,
-0.3576623797416687,
0.8276630640029907,
0.05056602880358696,
0.2920946180820465,
0.9886308312416077,
-0.6793054342269897,
0.6234249472618103,
0.335852712392807,
0.9408555626869202,
-0.2407110631465912,
0.12640148401260376,
-... |
In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Example Input: Yaba yinqanawa elawulayo kuthatho lweRangoon.
Example Output: She was the command ship at the retaking of Rangoon.
Example Input: Isiqu ... | For average anchoring the minimum length of rope required is four times the depth of the seabed at high tide to the level of the boat's chocks.
| 3 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | fs_opt | [
0.3118325173854828,
0.5250747203826904,
0.2817800045013428,
-0.8121391534805298,
-0.5562790632247925,
-1.2895183563232422,
0.6010685563087463,
0.6057024598121643,
0.49381494522094727,
-0.3928266763687134,
0.03663254529237747,
0.09350664913654327,
-0.5034916400909424,
0.14594466984272003,
... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic... | non-personal | 3 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.37823277711868286,
0.2084859013557434,
-0.011628417298197746,
0.35749632120132446,
-0.10110604763031006,
-0.3113386631011963,
0.5275511145591736,
0.3526790142059326,
-0.18683168292045593,
0.35396111011505127,
-0.21686556935310364,
0.2982487082481384,
-0.05460970103740692,
-0.36865627765... |
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.
Q: Sentence 1: The Hindus' Ancestors Sentence 2: The Hindu's have very large fa... | no | 4 | NIv2 | task199_mnli_classification | zs_opt | [
-0.7897560596466064,
0.36336424946784973,
0.5268765687942505,
0.1673690676689148,
-0.5007167458534241,
-0.8374838829040527,
0.6880756616592407,
0.9969512224197388,
-0.04069442301988602,
-0.3099358379840851,
-0.3813835382461548,
-0.9089546799659729,
-0.759232759475708,
-0.013321074657142162... |
Teacher:You are given a sentence in English. Your job is to translate the English sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: And this then has given rise to unprecedented and unexpected moral controversy.
Student: | E questo ha dato poi origine ad una controversia morale inaspettata e senza precedenti. | 6 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.3227069675922394,
0.686970055103302,
0.7391605377197266,
-0.396809458732605,
-0.9034706354141235,
-0.08388856053352356,
-0.45720523595809937,
1.1019892692565918,
0.046264879405498505,
-0.5032077431678772,
0.20073102414608002,
0.09546857327222824,
-0.70103520154953,
-0.6140390634536743,
... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Problem:Avete individuato una posizione ignota di un satellite in orbita attorno al pianeta partendo da una posizione nota sulla terra.
Solution: | لقد تعرّفتم على مكان مجهول لقمر صناعيّ يدور حول الأرض من موقع معروف على الأرض. | 8 | NIv2 | task1250_ted_translation_it_ar | zs_opt | [
-0.2582550644874573,
0.7631336450576782,
-0.8991600871086121,
-0.3879978060722351,
-0.29985857009887695,
-0.16865205764770508,
0.6813223361968994,
0.49326324462890625,
0.44291234016418457,
0.07728776335716248,
-0.8712408542633057,
0.027767274528741837,
-0.7609012722969055,
-0.2358987480401... |
Part 1. Definition
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Part 2. Example
Afinal de contas elas é que decidem, e decidiram mesmo.
Answer: אחרי הכל, הם החליטו, והם עשו,
Explanation: The Portugese sentence is correctly translated into Hebrew, because the mean... | הם התקשרו אלי. | 7 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
0.36280226707458496,
0.7852139472961426,
0.30359166860580444,
-0.07106459140777588,
-0.22052672505378723,
-0.17966806888580322,
0.8137954473495483,
0.0962231457233429,
0.5575499534606934,
-0.31546175479888916,
-1.0109587907791138,
0.44132548570632935,
-0.9388641119003296,
-0.03453070670366... |
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
On... | Inversion | 9 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.5303961038589478,
0.5441219806671143,
0.5661821365356445,
0.07026926428079605,
0.0022785947658121586,
-0.36900705099105835,
0.9532685279846191,
0.34096741676330566,
0.3511296510696411,
-0.4164579510688782,
-0.9572083950042725,
-0.520801305770874,
-0.7462232112884521,
0.11723849177360535... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each ... | a man is raking | 0 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.015630504116415977,
0.672295868396759,
0.38311266899108887,
-0.2776721119880676,
0.43079066276550293,
-0.20989486575126648,
-0.028040053322911263,
0.8866048455238342,
0.07051421701908112,
0.024472828954458237,
-0.7897217273712158,
-0.032405756413936615,
-0.6006532311439514,
-0.239784613... |
Detailed Instructions: 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 pro... | weakener | 4 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
0.1597033143043518,
0.14694085717201233,
-0.48089227080345154,
0.1458600014448166,
0.06514063477516174,
-0.8202757835388184,
0.7902616858482361,
1.4635605812072754,
0.8090267181396484,
-0.34345290064811707,
-1.1806212663650513,
0.19733235239982605,
-0.6163454651832581,
0.19953104853630066,... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Q: بیل استون: این فیلمبرداری از چشمه های واکولا در فلوریدا بود
A: Bill Stone: E 'stato ripreso nelle Sorgenti Wakulla in Florida.
****
Q: بالون های به اندازه ی یک وال آبی ساختیم.
A: Palloni delle dimensioni di una bale... | e Gabby, cosa c'è in programma adesso?
****
| 4 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-0.3463379740715027,
0.33668744564056396,
-0.6198634505271912,
0.3431294560432434,
-0.4969656765460968,
0.1786174327135086,
0.44248872995376587,
0.8921827077865601,
0.33112090826034546,
-0.191944420337677,
-0.5198440551757812,
0.6576387882232666,
0.49737560749053955,
0.516424298286438,
1... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given the 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 s... | 4a, 2b | 0 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
0.05493569374084473,
-0.041363850235939026,
-0.31806662678718567,
0.8794243335723877,
0.18205928802490234,
0.1730055809020996,
-0.0016824188642203808,
0.7258169651031494,
-0.4365497827529907,
0.3727235794067383,
-0.7368594408035278,
0.25538867712020874,
0.34930160641670227,
-0.081015646457... |
In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Q: Article: An invisible smile Mr. Dawson was an old grouch , a... | Many kids didn't dare to go into Mr. Dawson's yard to pick a sweet apple because _ . | 4 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.6648399233818054,
0.8202409148216248,
-0.2274562120437622,
-1.1040527820587158,
0.20080387592315674,
-0.43305206298828125,
0.7273725867271423,
0.9142791032791138,
0.35664865374565125,
-0.19853326678276062,
-0.5832744240760803,
0.7927072644233704,
-0.6740359663963318,
0.3731943368911743,
... |
In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
One example: Bulgarian: Състав на Парламента: вж. протоколи, English: Membership of Parliament: see M... | yes | 6 | NIv2 | task273_europarl_classification | fs_opt | [
0.013383477926254272,
0.04251538962125778,
0.4398818016052246,
0.8217983245849609,
0.4492802023887634,
-0.9780778288841248,
0.9526734948158264,
0.9965481758117676,
0.49435147643089294,
0.23067300021648407,
-0.2728036940097809,
0.7540572881698608,
-0.3357343077659607,
0.3234716057777405,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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 ... | Yes | 0 | NIv2 | task354_casino_classification_negotiation_no_need | fs_opt | [
-0.00734422542154789,
0.688356876373291,
-0.23920223116874695,
0.051899418234825134,
-0.06630167365074158,
-0.5893628597259521,
1.0794916152954102,
0.6125156879425049,
-0.03785725682973862,
-0.024571554735302925,
0.3219224512577057,
-0.21514520049095154,
-0.8804813027381897,
0.149057179689... |
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Ex Input:
Category: secretary duty
Words: support, type, file, software, answer
Ex Output:
software
Ex Input:
Category: guitar ... | winch
| 1 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
-0.7128024101257324,
0.44705796241760254,
-0.5421414375305176,
-0.044952962547540665,
0.16138944029808044,
-0.6743497848510742,
0.5847426652908325,
-0.0016436062287539244,
0.5372850894927979,
-0.08508673310279846,
0.014303313568234444,
-0.16941672563552856,
-0.748550534248352,
0.1974490433... |
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using an... | I was very scared.
| 3 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
0.07604411244392395,
0.6356633901596069,
-0.891302227973938,
-0.4336177408695221,
-0.7749361991882324,
-0.36472028493881226,
0.545170783996582,
0.9296656250953674,
-0.3840688467025757,
-0.15799015760421753,
-0.38046494126319885,
0.25073617696762085,
-0.1794569492340088,
-0.231399804353714,... |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
[Q]: concept: Young Goodman Brown answers: ['The Old Man']
[A]: what does the devil look like in young goodman brown?
[Q]: concept: Maccabees answers: ['Seleucid Empire']
[A]: who d... | where did drew stanton play in college?
| 5 | NIv2 | task1602_webquestion_question_genreation | fs_opt | [
0.1176585853099823,
0.9517663717269897,
-0.294766366481781,
-0.854333758354187,
-0.5469526052474976,
-1.144531488418579,
0.1648457646369934,
0.07387709617614746,
1.1134421825408936,
-0.09133830666542053,
-0.2174932062625885,
0.009772958233952522,
-1.1113688945770264,
-0.2872978150844574,
... |
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 coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick th... | 1 | 5 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.36387497186660767,
0.7355980277061462,
-0.0018708184361457825,
-0.0758519172668457,
-0.5367937088012695,
-0.17052476108074188,
-0.1672019064426422,
0.5913680195808411,
-0.0862349346280098,
-0.5563506484031677,
-0.6161063313484192,
0.4800240993499756,
-0.1269530951976776,
0.3137578070163... |
Detailed Instructions: 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 ... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PU... | 4 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.006998137105256319,
-0.6112873554229736,
-0.1870959848165512,
-0.28337228298187256,
0.5552847385406494,
-0.6444410681724548,
0.3109601140022278,
0.7709650993347168,
-0.7020800113677979,
0.1999225616455078,
0.2989708185195923,
-0.4773976504802704,
-0.6946331262588501,
0.011876514181494713... |
Q: 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.
News Hea... | Funny | 7 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.09316744655370712,
0.7468153238296509,
0.4261244535446167,
0.24553483724594116,
-0.338064581155777,
-0.6164597272872925,
-0.12391094863414764,
1.272395372390747,
0.27612897753715515,
0.2657164931297302,
-0.2177375704050064,
-0.5659918189048767,
-0.8051223158836365,
-0.19092696905136108,
... |
In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
[Q]: 公诉机关指控，2013月3日18日18时许，被告人何某某因得知妻子柴某某与孙某某有不正当男女关系，遂纠集小某（在逃... | 危险驾驶
| 5 | NIv2 | task1667_cail2018_answer_generation | fs_opt | [
0.512317419052124,
0.4268340468406677,
-0.5277203321456909,
-0.27332788705825806,
0.5565460920333862,
0.013297962956130505,
0.7039123773574829,
1.0382108688354492,
-0.46198511123657227,
0.14354407787322998,
0.03790596127510071,
1.10710608959198,
-0.46534183621406555,
0.3890267610549927,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Example: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoy... | negative | 1 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.1813774108886719,
0.3733042776584625,
-0.021999873220920563,
0.1533023715019226,
0.6907640695571899,
-0.012486521154642105,
-0.27098751068115234,
0.3837730288505554,
0.32791823148727417,
0.6653748154640198,
-0.19138818979263306,
-0.3402937054634094,
0.3062554597854614,
-0.37212064862251... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
| 3 | NIv2 | task1205_atomic_classification_isafter | fs_opt | [
0.029084252193570137,
0.17195391654968262,
0.3657510280609131,
-0.2463604211807251,
-0.5949061512947083,
-0.7286789417266846,
1.2021454572677612,
0.5253232717514038,
-0.5187508463859558,
-0.3474385142326355,
-0.569623589515686,
-0.5496995449066162,
-0.622907280921936,
0.19757181406021118,
... |
TASK DEFINITION: In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
PROBLEM: "Vay-K" is a song by English-Irish singer-songwriter Tara McDon... | The String Quartet No. 3 in Eflat minor, Op. 30, by Pyotr Ilyich Tchaikovsky, was composed in 1876, and is the last of his three String Quartets.
| 8 | NIv2 | task192_hotpotqa_sentence_generation | fs_opt | [
-0.30850493907928467,
0.48838913440704346,
-0.6076313853263855,
0.3893495202064514,
0.29509031772613525,
-0.17670512199401855,
1.4892816543579102,
0.8197840452194214,
-0.04436660185456276,
0.3558877110481262,
0.024694178253412247,
0.1925043910741806,
-0.7643388509750366,
-0.380027979612350... |
You will be given a definition of a task first, then some input of the task.
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when th... | yes | 1 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
0.26967382431030273,
-0.0700075700879097,
-0.14554116129875183,
0.2119297981262207,
-0.2279907912015915,
-0.20037728548049927,
0.7845083475112915,
1.1796293258666992,
-0.12161357700824738,
-0.10225262492895126,
-0.350868821144104,
0.7170239686965942,
-1.042896032333374,
-0.2425194382667541... |
TASK DEFINITION: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offens... | Offensive
| 8 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.3885842561721802,
0.43859654664993286,
0.41135895252227783,
0.4798361659049988,
-0.267436683177948,
-0.8413428664207458,
0.13402846455574036,
0.4127494990825653,
0.26866185665130615,
0.51274573802948,
-0.6191294193267822,
-0.43274688720703125,
-0.5126833319664001,
-0.8610773086547852,
... |
instruction:
You are given a statement written in Tamil. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
question:
Statement: இந்த பிராந்தியத்தில் முதலில் முண்டா மொழி குடும்பத்தைச் சேர்ந்த ஒரு மொழி பேசும் கோல... | ஜெயலலிதா
| 9 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | fs_opt | [
0.48483312129974365,
0.3467305898666382,
-0.5128258466720581,
0.11117131263017654,
0.09613632410764694,
-0.10174334049224854,
0.3921634554862976,
0.8885817527770996,
-0.20767073333263397,
0.24554988741874695,
-0.004678016062825918,
0.3275553584098816,
-0.32008129358291626,
-0.2762677669525... |
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... | 32451 | 2 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
-0.46022674441337585,
-0.15798257291316986,
0.263642281293869,
-0.778608500957489,
0.32942503690719604,
0.24082280695438385,
0.7156057357788086,
0.5550891160964966,
-0.11268988251686096,
-0.1305771768093109,
-0.9577846527099609,
-0.47276103496551514,
-0.39873331785202026,
0.268714219331741... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
[EX Q]: والنص هو الحمض النووي
[EX A]: E o texto é o ADN da vida.
[EX Q]: هو حمض نووي منقسم بشكل سيء ، ولكن بفضل التقنيات الحديثةيمكنكم إعادة بناء المَجِين بالكامل.
[EX A]: É ADN que se encontra muito fragmentado mas com a... | Primeiro, precisamos de dados.
| 6 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
-0.4874303936958313,
0.3526461124420166,
0.6505147814750671,
-0.8393033742904663,
-0.6789594888687134,
-0.6311353445053101,
0.4788529872894287,
0.28750771284103394,
0.2694493234157562,
0.08182898163795471,
-0.8955895304679871,
-0.13207046687602997,
-0.9656966924667358,
0.8819427490234375,
... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
See one example below:
Problem: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Solution: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Explan... | Ora c'era l'effetto opposto. | 4 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
-0.10970042645931244,
0.24566256999969482,
-0.4183417856693268,
-0.43984949588775635,
-0.12627074122428894,
-0.815640926361084,
0.358190655708313,
1.0935324430465698,
0.4802107512950897,
-0.1499105840921402,
-0.6885169744491577,
0.550311267375946,
-0.6189880967140198,
0.13853007555007935,
... |
TASK DEFINITION: A text is given in Bengali. Translate it from the Bengali language to the Telugu language. The translation must not omit or add information to the original sentence.
PROBLEM: ఇండియన్ డిఫెన్స్ యూనివర్సిటీ కి చెందిన విద్యార్థులు, బోధన సిబ్బంది, బోధనేతర సిబ్బంది తో పాటు వారి కుటుంబ సభ్యులు, ఇంకా స్థానిక న... | আমাদের কৃষকরা আমার এই অনুরোধ রাখবেন, এতা আমার দৃঢ় বিশ্বাস।
| 8 | NIv2 | task1032_pib_translation_telugu_bengali | fs_opt | [
0.14199693500995636,
0.01587022840976715,
-0.33396342396736145,
-0.29322004318237305,
-0.2554219365119934,
-0.33515894412994385,
0.7266918420791626,
0.6374504566192627,
-0.09591473639011383,
0.1909657120704651,
-0.2690045237541199,
-0.10187020897865295,
-0.6908900737762451,
0.2083337903022... |
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... | Neutral
| 0 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
-0.8614683151245117,
0.8931775689125061,
0.43219390511512756,
0.32221001386642456,
-0.48139289021492004,
-1.1459386348724365,
0.19981789588928223,
0.7395410537719727,
-0.1552928388118744,
0.39510098099708557,
-0.2328473925590515,
0.34100985527038574,
-0.10129359364509583,
0.004627170506864... |
Detailed Instructions: In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence ... | Cocum pub is a hight price range with low ratings and is for the whole family | 8 | NIv2 | task1409_dart_text_generation | zs_opt | [
-0.5361721515655518,
0.10483990609645844,
-0.19403678178787231,
-0.7489520311355591,
-0.38820046186447144,
0.7099307775497437,
0.26009756326675415,
-0.4761904776096344,
-0.49937331676483154,
-0.3425648808479309,
-0.1058875247836113,
-0.3193603754043579,
-0.057355232536792755,
-0.4567554593... |
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.
Topic: We should adopt libertarianism<sep>Argument: Libertarianism is crucial ... | False | 0 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
-0.0680898129940033,
0.7703097462654114,
-0.05322595685720444,
-0.2592424154281616,
-0.598347544670105,
-0.2112899273633957,
0.20406335592269897,
0.3908424377441406,
0.36062878370285034,
-0.11731868982315063,
-0.3765333294868469,
-0.12559771537780762,
-0.40863317251205444,
-0.0719603002071... |
instruction:
This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a sentence in Arabic and the output is the classified sentiment.
que... | POSITIVE
| 9 | NIv2 | task1414_ajgt_twitter_ar_classification | fs_opt | [
-1.4219908714294434,
-0.22816526889801025,
0.4678754210472107,
-0.602389931678772,
-0.7334504127502441,
-0.9881690144538879,
0.8123373985290527,
0.16587421298027039,
0.043239373713731766,
-0.029660183936357498,
-0.5839813351631165,
0.16135168075561523,
-0.169687420129776,
0.227446734905242... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high... | यदि आप लैपटॉप में चलाना चाहते हैं तो आपको अपने टर्मिनल को खोलना चाहिए. | 1 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-0.4124659299850464,
0.2584131956100464,
0.355790913105011,
0.7971394062042236,
-0.372308611869812,
-0.16638728976249695,
0.2138037085533142,
0.315279483795166,
-0.1074289008975029,
-0.9009823203086853,
-0.7517271041870117,
-0.79646897315979,
0.438640832901001,
0.3660474419593811,
-0.520... |
Q: 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 line of t... | no | 7 | NIv2 | task361_spolin_yesand_prompt_response_classification | zs_opt | [
0.10107698291540146,
0.5678136348724365,
0.5693987011909485,
0.4225146472454071,
0.6069382429122925,
-0.693541407585144,
-0.4309524893760681,
0.6281042098999023,
-0.08945134282112122,
-0.06448046863079071,
-0.5067312121391296,
-0.6774367690086365,
-0.30499547719955444,
0.11115042865276337,... |
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Ex Input:
Problem: find the smallest number which leaves 2235 , 48 and 61 as remainders when divided by 26 , 39 , 52 and 65 respectively .
Options: a ) 67 , b ) 26 , c ) 99 ... | b
| 1 | NIv2 | task1420_mathqa_general | fs_opt | [
-0.08727497607469559,
0.46373462677001953,
0.05664319172501564,
-0.7643938660621643,
-0.14027711749076843,
0.3220527172088623,
0.7499003410339355,
0.479544997215271,
-0.07444268465042114,
-0.2099842131137848,
-0.0017601570580154657,
0.19930142164230347,
-0.19386164844036102,
-0.15022143721... |
Definition: In this task your given two statements. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Input: The football coach lost his voice after the game.
He yelle... | cause | 2 | NIv2 | task828_copa_commonsense_cause_effect | zs_opt | [
-0.4657488465309143,
0.30908918380737305,
-0.2723276615142822,
-0.37993723154067993,
-0.019948318600654602,
0.008288390934467316,
-0.016401508823037148,
0.8780293464660645,
0.59784996509552,
-0.5742861032485962,
-0.8954683542251587,
-0.034781359136104584,
-0.7159106135368347,
0.02046446688... |
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.
Ex Input:
... | Not Funny
| 1 | NIv2 | task495_semeval_headline_classification | fs_opt | [
0.1393437683582306,
0.5407307147979736,
0.3765851855278015,
0.09656799584627151,
-0.5604549646377563,
-0.6684424877166748,
0.14522962272167206,
0.8480088114738464,
-0.36753925681114197,
-0.12880633771419525,
-0.08904655277729034,
0.1435074508190155,
-0.8042378425598145,
0.01536448486149311... |
You are given a statement in Croatian, a question word and four choices in Croation. If the question word is "cause", you should choose the option that is most likely to be the cause of the statement. If the question word is "effect", you should pick the choice that is most likely to be a consequence of the statement. ... | Poslala mi je poklon. | 0 | NIv2 | task1628_copa_hr_question_answering | zs_opt | [
0.4020485281944275,
0.8828279972076416,
-0.5107444524765015,
0.3540198802947998,
-0.42104023694992065,
-0.8685442209243774,
0.9824802875518799,
0.045240480452775955,
0.1687246561050415,
-0.35946545004844666,
0.07537019997835159,
0.45677611231803894,
-0.5838236212730408,
-0.0584052130579948... |
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
It means "" I have enough. "" And that is utterly true. | وهذا يعني ، لقد طفل الكيل — وهذا صحيح للغاية. | 0 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
0.5360711216926575,
0.5442743301391602,
0.15989702939987183,
-0.578190803527832,
-0.6447145938873291,
-0.833964467048645,
0.9224509000778198,
0.1617283821105957,
0.20149476826190948,
-0.31717348098754883,
-0.5044050216674805,
0.14631342887878418,
-1.087095022201538,
0.17744678258895874,
... |
Instructions: A text is given in Hindi. Translate it from the Hindi language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: ਕਿ ਦੱਸੋ ਭਾਈ 2022. ( Twenty Twenty Two), ਅਸੀਂ ਦੇਸ਼ ਨੂੰ ਉੱਥੇ ਲੈ ਜਾਣਾ ਹੈ, ਤੁਸੀ ਕਿ ਜਿੰਮੇਵਾਰੀ ਲੈ ਸਕਦੇ ਹੋ?
Output: | क्या कभी उनको बैठ करके बात कहोगे? कि बताओ भाई 2022.Twenty Twenty Two, हमने देश को यहां ले जाना है, तुम क्या जिम्मा ले सकते हो? | 3 | NIv2 | task1012_pib_translation_punjabi_hindi | zs_opt | [
-0.716465950012207,
1.208516001701355,
0.5983585119247437,
0.32044750452041626,
-0.40289101004600525,
-0.8848342895507812,
0.23397614061832428,
0.3490299582481384,
-1.014620304107666,
0.730939507484436,
-0.7491970658302307,
0.3539159893989563,
-0.23436905443668365,
-0.043983299285173416,
... |
Definition: 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 reasonable probabi... | Если ты хочешь играть на гитаре, тогда тебе нужно пройти обучение на гитаре. | 2 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
0.21451644599437714,
0.20639368891716003,
-0.19111669063568115,
-0.0614628940820694,
0.09880344569683075,
-0.10043773055076599,
0.9916541576385498,
1.0476877689361572,
0.4212085008621216,
-0.3932555019855499,
-1.3726890087127686,
-0.15430891513824463,
-0.21304893493652344,
0.39929580688476... |
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
Ex Input:
Fact1... | Attorney Walter Fielding and his classical musician girlfriend, Anna Crowley, learn of Walter Sr.s wedding to a woman named Florinda shortly after fleeing the country for embezzling millions of dollars from their musician clients. The next morning, they are told they need to vacate the apartment they are subletting fro... | 1 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.6132715940475464,
0.252032995223999,
-0.48855072259902954,
0.19925804436206818,
0.32908517122268677,
0.13662610948085785,
0.500519871711731,
0.8542443513870239,
0.17639124393463135,
0.0591898113489151,
-0.6729906797409058,
1.0579655170440674,
-0.44428378343582153,
0.8366734385490417,
-... |
Teacher:In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Teacher: Now, understand the problem? Solve this instance: PersonX spends ___... | funds | 6 | NIv2 | task1217_atomic_answer_generation | zs_opt | [
-0.38513219356536865,
0.09452340751886368,
0.06320352852344513,
-0.6238111257553101,
-0.2343483865261078,
-0.7430695295333862,
0.7279787063598633,
0.7352969646453857,
-0.17722110450267792,
-0.6325641870498657,
-0.15950153768062592,
-1.0071496963500977,
-0.40571829676628113,
-0.438028693199... |
Part 1. Definition
You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Part 2. Example
Statement: उत्तराखंड व झारखंड राज्यांमध्ये मुलांच्या आयांना या योजनेत समाविष्ट ... | हिमालय | 7 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
0.4702295958995819,
-0.06119376793503761,
-0.09827814996242523,
-1.091599702835083,
-0.4940526485443115,
-0.5918846130371094,
0.22233572602272034,
0.6152471303939819,
-0.5797561407089233,
-0.20488086342811584,
-0.0350407212972641,
0.30352532863616943,
-0.2247389853000641,
-0.47908249497413... |
Part 1. Definition
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Part 2. Example
Cando chegas a estas sociedades en desenrolo, as mulleres son os piares da súa comunidade, pero os homes seguen a ser os que controlan as rúas.
Answer: وقتی به این جامعه های در حال توسعه م... | H مخفف ذرات « هیگز » است. | 7 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-1.2327643632888794,
0.951666533946991,
-0.09165625274181366,
-0.23205861449241638,
-0.05676000192761421,
-0.6224528551101685,
0.8598371148109436,
0.7967568635940552,
-0.0874374657869339,
-0.07716473937034607,
-1.6459710597991943,
0.27641892433166504,
-0.17980517446994781,
0.20491814613342... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: تا اون لحظه .
A: schindler until this moment .
****
Q: يه همچين روزي آخرش فرا ميرسيد دير يا زود ، درسته .
A: this day was about to come sooner or later , wasnt it .
****
Q: خوب اين روحيه ست .
A: | well thats the spirit .
****
| 4 | NIv2 | task659_tep_fa_en_translation | fs_opt | [
-0.4786643385887146,
0.7710596323013306,
-0.7275477051734924,
-0.49883899092674255,
-0.9553796648979187,
-0.23868530988693237,
0.7233225703239441,
0.22291365265846252,
0.442083477973938,
-0.3009852170944214,
0.1700192391872406,
0.5671077966690063,
-0.3769690990447998,
0.228226900100708,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
Q: إذاً, كيف يمكنك ان تُقلد ؟ ولمَ التقليد مُهم ؟
A: ¿Cómo se produce a imitación? ¿Por que é importante?
****
Q: وحصلنا أيضاً على نتائج غير مقصودة.
A: Tamén xurdiu unha consecuencia inesperada.
****
Q: سنبدأ في إطلاق سلس... | Imos lanzar unha serie de misións para comezar a buscar vida en Marte.
****
| 4 | NIv2 | task1105_ted_translation_ar_gl | fs_opt | [
-0.7621878981590271,
0.9991599321365356,
-0.06474475562572479,
-0.8795537948608398,
-0.1503520905971527,
-0.3026654124259949,
0.8277686238288879,
-0.0449143722653389,
-0.11972872912883759,
-0.3442269265651703,
-0.6607003211975098,
-0.057326361536979675,
-1.0347940921783447,
0.5278629660606... |
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