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 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.
Input: Consider Input: We have three cats, the youngest is about eleven years old, another is fifteen and our oldest is, well ancient. That is what the vet told... | Output: Negative
| 2 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
0.5024902820587158,
-0.2345159500837326,
-0.6426481008529663,
-0.1441083401441574,
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-0.24641606211662292,
0.8837305307388306,
-0.7225651741027832,
-0.3760935068130493,... |
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 I wanted to tell stories about all the amazing things I was seeing underwater, incredible wildlife and interesting behaviors.
Student: | E desideravo raccontare le storie di tutte le cose stupefacenti che vedevo sott'acqua, le incredibili forme di vita e i comportamenti interessanti che osservavo. | 6 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.8523321151733398,
0.24274170398712158,
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-0.31344664096832275,
-0.4145924746990204,
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-0.2733133137226105,
0.48642539978027344,
-0.1033935621380806,
-0.4010125398635864,
0.35311204195022583,
-0.5242756605148315,
-0.49207934737205505,
-0.2955599427... |
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 inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position ... | P, 2021, A, 7369, 5235, 9505, p, 7495, 3021, E, 7599, 133 | 0 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
0.014622035436332226,
0.29266056418418884,
-0.4953186810016632,
-0.3725685477256775,
-0.06864319741725922,
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-0.3585931956768036,
0.0321255698800087,
-0.4935833811759949,
-0.230219304561615,
0.12270739674568176,
0.1483530998229980... |
TASK DEFINITION: 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: വിജ്ഞാനത്തിന്റെ ആവശ്യം തലച്ചോറിനെ ശൂന്യമാക്കലും പുതിയ ചിന്തകള്കൊണ്ട് നമ്മുടെ മനസ്സിനെ നിറയ്ക്കലും പുതിയ കാര്യങ്ങള് നിര്വ്വഹിക്... | दोनों देश हीरों की सीधी खरीद के अवसरों की तलाश कर सकते हैं।
| 8 | NIv2 | task1018_pib_translation_malayalam_hindi | fs_opt | [
-0.11546210944652557,
-0.12817777693271637,
0.07597513496875763,
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-0.32224225997924805,
-0.30569395422935486,
-0.1289137899875641,
-0.3657573461532593,
0.1386460661... |
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... | 3
| 0 | NIv2 | task200_mnli_entailment_classification | fs_opt | [
0.4174256920814514,
0.07966799288988113,
-0.44746387004852295,
0.12018789350986481,
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0.5418510437011719,
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-0.9875560998916626,... |
Teacher:In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
Teacher: Now, understand the problem? Solve this instance: ['89', 'j', '441', '205', 'q', '375', 'n', '221', 'z', 'p', '411', '181']
Studen... | 0, 1, 2, 3, 4, 5, 7, 8, 9 | 6 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | zs_opt | [
-0.623519778251648,
0.20214736461639404,
-0.40464121103286743,
-0.896337628364563,
-0.4638919234275818,
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-0.505963921546936,
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-0.27092933654785156,
-0.26911401748657227,
-0.848071813583374,
-0.4367196559906006,... |
Definition: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the indiv... | red_drawer | 2 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
0.6341590881347656,
-0.5890619158744812,
-0.2527620792388916,
-0.6701393723487854,
-0.1093396544456482,
-0.37519025802612305,
-0.11211651563644409,
0.866382360458374,
0.07387613505125046,
0.17123761773109436,
-0.19444401562213898,
0.25121915340423584,
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-0.239341169595718... |
Detailed Instructions: 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.
Q: I used this flour in my usual pizza recipe. I noticed the difference with regular bread flour right away. The dough was very elastic and... | Positive | 9 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
-0.2993225157260895,
0.1434771716594696,
0.09592045098543167,
-0.2535097599029541,
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0.12708544731140137,
-0.30647552013397217,
0.32516902685165405,
0.10221479833126068,
0.0558756440877914... |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Example Input: The situation makes this boy feel disappointed.
Example Output: male
Example Input: Jasmine feels discouraged.
Example Output:... | female
| 3 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.9376682043075562,
0.19626787304878235,
-0.30630260705947876,
-0.7200981974601746,
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-0.698727011680603,
0.0884518176317215,
-0.9013685584068298,
-0.5208163261413574,
... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Q: Article: The United States is full ... | Yes
****
| 4 | NIv2 | task310_race_classification | fs_opt | [
0.42089593410491943,
0.05925065651535988,
-0.07822152972221375,
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0.32224929332733154,
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0.034415002912282944,
0.42398756742477417,
-0.09146622568368912,
0.01999667473... |
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Ex Input:
Context_1 : 3204 Lindgren or Asteroid Lindgren (Swedish: "Asteroiden Lindgren" ) is a main-belt as... | Pittsburgh, Pennsylvania
| 1 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.6513043642044067,
0.561084508895874,
-0.14014491438865662,
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0.6492397785186768,
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0.7776193618774414,
-0.8791072368621826,
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... |
You will be given a definition of a task first, then some input of the task.
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., Person... | No | 1 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.21977682411670685,
0.0347551628947258,
0.3094717562198639,
0.30848702788352966,
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-0.00999251753091812... |
Detailed Instructions: In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Problem:Set oven to 350 degrees., Grease a 2-qt baking dish., In a prepared baking dish, combine all ingredients, ... | white rice, kidney beans, onion, green chilies, garlic, chili powder, ground cumin, oregano, creole seasoning, salt, cheddar cheese | 8 | NIv2 | task571_recipe_nlg_ner_generation | zs_opt | [
0.07704760134220123,
0.2599450945854187,
-0.5706518888473511,
0.5749373435974121,
-0.838860034942627,
0.4680851399898529,
0.6295005083084106,
0.2376202791929245,
-0.10687531530857086,
-0.06647469103336334,
-0.0066708046942949295,
-0.18684065341949463,
-0.21651192009449005,
0.07694660127162... |
Detailed Instructions: 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.
Se... | Hmm, interesting. Do you have any real animals to go with your imaginary friends? | 4 | NIv2 | task1729_personachat_generate_next | fs_opt | [
0.3492824137210846,
-0.18478001654148102,
-0.3239806294441223,
0.14186853170394897,
-0.10463985800743103,
-0.30033010244369507,
0.6232205629348755,
0.5370623469352722,
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-0.11823107302188873,
-0.3702603876590729,
0.1918317973613739,
-0.3276858925819397,
0.527908086776733... |
Given the task definition and input, reply with output. In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should p... | Sad | 5 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | zs_opt | [
-1.5794451236724854,
0.23164230585098267,
0.9491713047027588,
-0.14349548518657684,
0.4253992438316345,
-0.48902595043182373,
0.5505908131599426,
0.3686060905456543,
0.2950925827026367,
0.33666038513183594,
-0.4467396140098572,
-0.4093770384788513,
0.18903982639312744,
-0.03278759494423866... |
TASK DEFINITION: In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
PROBLEM: 7533 + 2213 - 7566 + 455 - 6321 - 2480 + 1023 + 2407
... | 13396
| 8 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.3038584589958191,
0.5275156497955322,
-0.7216764688491821,
0.01939496397972107,
-0.46465182304382324,
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0.06919810175895691... |
Definition: You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Input: Ma quando ho scritto l'esercizio del necrologio, sono cresciuta in quel momento e ho realizzato che avevo bisogno di creare il mio futuro.
Output: | و لكن حينما قمت بتجربة كتابة نعى وفاتى فى الحقيقة نضجتُ قليلاً فى تلك اللحظة و أدركت أننى فى إحتياج لخلق مستقبلي | 2 | NIv2 | task1250_ted_translation_it_ar | zs_opt | [
-0.42554473876953125,
0.4809090495109558,
-0.40702390670776367,
-0.31818056106567383,
-0.2691383361816406,
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0.5134491324424744,
0.9385167360305786,
0.47827768325805664,
-0.0009154927683994174,
-0.13735279440879822,
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0.596479296684... |
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.
Ex Input:
Sentence: 'Under international humanitarian law even if Israel control of the Gaza Strip does not amount to ffective controland the territory ... | be part of
| 1 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.3398762047290802,
0.3836800456047058,
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0.10200820863246918,
-0.16701620817184448,
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0.3990880846977234,
0.5650638937950134,
0.8407145738601685,
0.37336796522140503,
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0.3013397455215454,
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-0.11566023528575897,
... |
Given the task definition and input, reply with output. In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when iro... | not | 5 | NIv2 | task386_semeval_2018_task3_irony_detection | zs_opt | [
-1.5842313766479492,
0.5721027255058289,
1.0425630807876587,
0.04245508089661598,
-0.1969498246908188,
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0.4729401469230652,
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-0.045214712619781494,
-0.8495818376541138,
-0.15131303668022156,
-1.038123607635498,
-0.300294578075408... |
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 left twice and jump around right twice
****
| 4 | NIv2 | task131_scan_long_text_generation_action_command_long | fs_opt | [
0.40195250511169434,
0.68003249168396,
-0.4909399747848511,
-0.016952019184827805,
0.1866728663444519,
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0.4014361798763275,
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0.05209578201174736,
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Definition: Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabi... | Una le vuole mangiare cibo per gatti. | 2 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
-0.5279120802879333,
0.244160994887352,
0.06714878231287003,
0.29540568590164185,
-0.38788512349128723,
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0.243165522813797,
0.9309572577476501,
-0.15094761550426483,
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-0.9380142092704773,
0.22409886121749878,
-0.5476346611976624,
0.6314563155174255,... |
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Ex Input:
Fact1: a plant requires sunlight to grow, Fact2: During the day, sunlight warms the soil., Question: When do plants grow the most? (A) week days (B... | F
| 1 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.22408635914325714,
0.14897191524505615,
-0.5493879318237305,
0.4189188480377197,
-0.3773411810398102,
-1.6105955839157104,
0.5121186375617981,
1.1431350708007812,
-0.7062782049179077,
0.13416491448879242,
-1.3105688095092773,
0.03796112909913063,
-0.36889225244522095,
0.00487193278968334... |
Instructions: Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: クリッチフィールドは、自分の養子を板で殴打し、彼らを留め金と紐で固定して長時間強制的に立たせておいたかどで訴えられた。
Output: | Critchfield dihukum karena memukul anak tirinya dengan papan, menggunakan kait dan tali untuk menahan dan memaksa mereka untuk berdiri dalam waktu yang lama. | 3 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
0.18778133392333984,
0.9613145589828491,
-0.5527499914169312,
-0.5026315450668335,
-0.3712615966796875,
-0.7788746953010559,
0.311021089553833,
0.3110962510108948,
-0.2987005114555359,
-0.1905052363872528,
-0.6319118738174438,
0.4605036973953247,
-1.3640880584716797,
0.404089093208313,
-... |
Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
English sentence: Through the Word you can understand the authority behind the name and Biblical guidelines for proper use of His name. | Sa pamamagitan ng Salita mauunawaan mo ang kapamahalaan sa likod ng pangalan at ang mga panuntunan ng Biblia para sa wastong paggamit ng pangalan. | 0 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
0.9080237746238708,
0.7181833386421204,
0.07847829163074493,
-0.35427433252334595,
0.216432124376297,
-1.8644740581512451,
1.325778841972351,
-0.478045791387558,
-0.3423267900943756,
-0.17177706956863403,
-0.0840010792016983,
0.15264001488685608,
-1.3244448900222778,
0.0834171324968338,
... |
Detailed Instructions: In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Origin... | Inversion | 9 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
-0.15808093547821045,
0.8052641153335571,
0.17023077607154846,
-0.16252565383911133,
-0.13126930594444275,
-0.8305531144142151,
0.4063120186328888,
0.7256386280059814,
0.038327738642692566,
-0.30260610580444336,
-0.1617247611284256,
0.22140085697174072,
-1.208777904510498,
0.01237608399242... |
instruction:
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 ... | Neither
| 9 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.5003089904785156,
0.4494456648826599,
0.6124981641769409,
0.08327731490135193,
-0.12590864300727844,
-0.5077739357948303,
0.3232418894767761,
0.6682887077331543,
0.2072536200284958,
0.5012291669845581,
-0.5025594234466553,
-0.3910035490989685,
-0.7082676291465759,
-0.8640482425689697,
... |
Detailed Instructions: Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Problem:พันเอกเฟร็ด เลวิส รองผู้บังคับการของกองทหารแคนาดาในกองกำลังช่วยเหลือความปลอดภัยระหว่างประเทศ(ISAF)ขององค์การนาโต้ในอัฟก... | 「2人を載せたオートバイがアフガン国家警察の外部警備バリケードを高速で突破してきた」とNATOのアフガニスタン国際治安支援部隊（ISAF）カナダ分遣隊副司令、フレッド・ルイス大佐は言った。 | 8 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.04673730581998825,
-0.060469284653663635,
-0.8565903306007385,
-0.2748274803161621,
-0.01280985213816166,
-0.45250773429870605,
0.9841498136520386,
-0.106145478785038,
-0.240749329328537,
-0.22803059220314026,
-1.4273521900177002,
0.3194025158882141,
-0.906982421875,
0.647415041923523,
... |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Q: Along with public schools, how did or uh what type of school was recognized under the South African Schools Act?
A: Along with public schools, what type of school was recognized under the So... | Beroida are known by what other name?
****
| 4 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
-0.35672426223754883,
0.8054393529891968,
0.07103996723890305,
-1.2637966871261597,
-0.4960077404975891,
-1.269110083580017,
0.2816598415374756,
0.885919988155365,
0.7725951671600342,
-0.36030831933021545,
-0.13955597579479218,
0.14728541672229767,
-0.6975146532058716,
-0.5508613586425781,... |
Q: In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Caterpillars pass through _ to seven larval instars before they enter the pupal stage.
A: | five | 7 | NIv2 | task672_nummersense | zs_opt | [
-0.3464289903640747,
1.1913414001464844,
-0.2725517749786377,
-0.14321587979793549,
0.026525162160396576,
0.36307936906814575,
-0.059743110090494156,
0.5893945693969727,
-0.37124156951904297,
-0.7527430653572083,
1.1922309398651123,
0.3058701157569885,
-0.9088457226753235,
0.14403803646564... |
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.
One example: Spr Ithan sariyana valli
So... | Not Hope Speech | 6 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
-0.3074184060096741,
-0.20927956700325012,
0.5044713020324707,
0.5672521591186523,
-0.190861776471138,
-0.8430923223495483,
-0.049382247030735016,
0.5615454912185669,
-0.6417208313941956,
0.4225972294807434,
-0.2672344446182251,
0.30191570520401,
-0.29349982738494873,
-0.6802461743354797,
... |
Teacher:The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user may ask details of the place ... | You are looking for a pub and it should have an internet connection. You don't care about whether children are allowed. Make sure you get the address, phone number, and price range of the venue. | 6 | NIv2 | task1499_dstc3_summarization | zs_opt | [
0.4429212212562561,
0.6921423673629761,
-0.46718186140060425,
-0.3173826038837433,
0.10178211331367493,
-0.4095004200935364,
0.4150817394256592,
0.7137311697006226,
0.0527714267373085,
0.1860264241695404,
0.5955352783203125,
0.0863269492983818,
-0.1589811146259308,
-0.4797142744064331,
0... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Input: Consider Input: one day I hope
Output: Are you going to be the boss?
Input: Consider Input: I have to leave in 5 min.
Output: Will you stay here for a while?
Input: Consider Input: They definitely of... | Output: Will you have better benefits at the new job?
| 2 | NIv2 | task568_circa_question_generation | fs_opt | [
-0.6928510069847107,
1.1523807048797607,
-0.013017544522881508,
-0.08382654935121536,
-0.26781967282295227,
-0.6593307256698608,
-0.28299084305763245,
0.5407440662384033,
0.34366223216056824,
0.039661407470703125,
-0.21825307607650757,
0.11388613283634186,
-0.169616237282753,
0.18878132104... |
Detailed Instructions: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Q: Nancy and her mom were pi... | 14 | 9 | NIv2 | task867_mawps_multiop_question_answering | zs_opt | [
0.18462450802326202,
0.5701003074645996,
-0.08507940173149109,
0.022379625588655472,
-0.08985275775194168,
0.2688186764717102,
0.7848638296127319,
0.4006499946117401,
-0.35263198614120483,
0.5846761465072632,
-0.7574892044067383,
-0.6801116466522217,
-0.38750702142715454,
-0.04551133513450... |
Given the task definition and input, reply with output. In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
Question: Which best describes the part of the ocean called the cont... | A shallow area of sediment near the shore best describes the part of the ocean called the continental shelf. | 5 | NIv2 | task1556_scitail_passage_generation | zs_opt | [
0.13855679333209991,
0.5854285955429077,
-0.43589067459106445,
-0.8277235627174377,
-0.5084695219993591,
0.14164382219314575,
-0.2834120988845825,
-0.04676436632871628,
0.10170604288578033,
-0.4666553735733032,
0.2648743689060211,
0.0034484220668673515,
-0.7202417254447937,
0.4389903545379... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Example: ['238', 'h', '92', 'U', '2799']
Example solution: 238, 92, 2799
Example explanation: Here, the numbers in the input list in order are '238', '92' and '2799... | Solution: 3619, 9779, 6603, 5323, 8397 | 5 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
-0.2721928656101227,
0.013021063059568405,
-0.5357412695884705,
-0.7338255047798157,
0.08930304646492004,
-0.2320660799741745,
0.5640610456466675,
-0.6648733615875244,
-0.37140291929244995,
0.1680958867073059,
-0.8158472180366516,
-0.6443569660186768,
0.2548595368862152,
0.2417298257350921... |
In this task, you are to Translate German text to English
Q: Eine Darstellungseinrichtung (9) dient zur Darstellung der Sensordaten.
A: A display device (9) is connected to the data processing module.
****
Q: Der Laufwagen wird so kompakt und gleichzeitig leistungsfähig.
A: The carriage thus becomes compact and effe... | Experience has shown that, on encountering an obstacle, the cutting edge (thin material) is protected by the full material to the left and right.
****
| 4 | NIv2 | task841_para_pdt_de_en_translation | fs_opt | [
-0.5667674541473389,
0.21526563167572021,
-0.4839245080947876,
0.029623664915561676,
-0.8964494466781616,
-0.6063502430915833,
-0.4126926362514496,
1.2682102918624878,
0.09149137884378433,
0.7533184289932251,
0.056338079273700714,
0.28874313831329346,
0.30186009407043457,
0.779320597648620... |
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 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... | neutral | 0 | NIv2 | task1554_scitail_classification | fs_opt | [
0.4850083887577057,
0.5439625978469849,
0.01125364750623703,
-0.484551340341568,
-0.4274390935897827,
-0.08483125269412994,
-0.3464501202106476,
0.43997326493263245,
-0.14736489951610565,
-0.8093734979629517,
-0.5957621335983276,
-0.34375816583633423,
-0.4503296911716461,
0.153758406639099... |
You will be given a definition of a task first, then some input of the task.
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 a... | 2 | 1 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.6728319525718689,
0.565214216709137,
0.47196686267852783,
-0.3633071184158325,
-0.30858123302459717,
-0.6821796894073486,
0.2685551643371582,
0.5335325598716736,
-0.11349102854728699,
-0.5195685625076294,
-0.780724048614502,
-0.09841910004615784,
-0.10742540657520294,
-0.287188261747360... |
Given the task definition and input, reply with output. 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 plau... | Вероятно, вы свяжетесь с телефоном в компьютере. | 5 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.38696348667144775,
0.564044713973999,
0.09524757415056229,
0.020914634689688683,
-0.8487330675125122,
0.160292387008667,
0.06733429431915283,
1.6832311153411865,
0.3824542462825775,
-0.34336867928504944,
-1.0667701959609985,
-0.23708191514015198,
-0.21418870985507965,
0.2955583930015564... |
Teacher:A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: Missile Technology Control Regime ਹੋਵੇ , Australia Group ਹੋਵੇ , ਜਾਂ ਫਿਰ Wassenaar Arrang... | மரியாதை செலுத்தும் வகையில் சுவீடன் நாட்டின் பிரதமருக்கு நீங்கள் அனைவரும் எழுந்து நின்று உங்களது பாராட்டுக்களைத் தெரிவிக்குமாறு உங்கள் அனைவரையும் நான் கேட்டுக் கொள்கிறேன். | 6 | NIv2 | task1015_pib_translation_punjabi_tamil | zs_opt | [
0.5968395471572876,
0.4311814308166504,
-0.16104701161384583,
-0.23887434601783752,
0.029469843953847885,
-0.8882926106452942,
1.0106487274169922,
0.6063539981842041,
-0.4132285714149475,
0.6646625995635986,
-0.36159080266952515,
-0.27084827423095703,
-0.2969515323638916,
-0.31286045908927... |
Given the task definition, example input & output, solve the new input case.
A text is given in Tamil. Translate it from the Tamil language to the Urdu language. The translation must not omit or add information to the original sentence.
Example: இந்தியா-இஸ்ரேல் வர்த்தக மாநாட்டில் பிரதமர் தெரிவித்த கருத்துகள் (ஜனவரி 15,... | غیرملکی کرنسی کی ایک اکائی کا زرمبادلہ کا | 1 | NIv2 | task1035_pib_translation_tamil_urdu | fs_opt | [
0.09261900186538696,
0.6190099716186523,
-0.32900726795196533,
0.10792279243469238,
0.30373290181159973,
0.25731945037841797,
0.04081614688038826,
0.411998450756073,
-0.006669390015304089,
0.26921311020851135,
-0.2737470865249634,
0.11460383236408234,
-0.1029023751616478,
-0.03328000754117... |
A text is given in Gujarati. Translate it from the Gujarati language to the Malayalam language. The translation must not omit or add information to the original sentence.
[EX Q]: രാജ്യത്തൊട്ടാകെ ഗവണ്മെന്റ് തുറന്നിട്ടുള്ള 3,600 ലധികം ജനഔഷധി കേന്ദ്രങ്ങളില് 700 ല് കൂടുതല് ജനറിക് മരുന്നുകള് താങ്ങാവുന്ന നിരക്കില് ലഭ്... | તેમણે એર અને રેલ કનેક્ટિવિટી, વધારે સારા માર્ગો અને મોટાં પુલ વધારવાની બાબતનો ઉલ્લેખ કર્યો હતો.
| 6 | NIv2 | task1042_pib_translation_malayalam_gujarati | fs_opt | [
-0.416831374168396,
-0.32706013321876526,
-0.28362777829170227,
-0.9911684989929199,
-0.06062892824411392,
-0.7891011834144592,
-0.31693851947784424,
0.3312990665435791,
-0.4785115122795105,
-0.37072497606277466,
-0.7932884693145752,
0.10640363395214081,
-0.7194222807884216,
0.593900561332... |
Detailed Instructions: The provided file includes inquiries about restaurants in German, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We... | find restaurants with more than 1 reviews . | 8 | NIv2 | task256_spl_translation_de_en | zs_opt | [
-0.620148241519928,
0.8322563767433167,
0.5518779754638672,
-0.22406063973903656,
-0.04926444590091705,
-0.16531948745250702,
0.9227252006530762,
0.6624881029129028,
-0.1554458737373352,
-0.3148450553417206,
0.7627285122871399,
0.08357656747102737,
-0.6279658675193787,
0.5770899057388306,
... |
Q: 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.
The surfer caught the wave.
The wave carried her to the shore.
A: | effect | 7 | NIv2 | task828_copa_commonsense_cause_effect | zs_opt | [
-0.738258421421051,
0.719684362411499,
-0.8623325824737549,
-1.2728626728057861,
-0.3863322138786316,
0.13945844769477844,
-0.2281065285205841,
0.8115123510360718,
0.7462146282196045,
-0.30378806591033936,
-0.013888278044760227,
0.21739590167999268,
-0.803301215171814,
-0.5492951273918152,... |
Teacher: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.
Teacher: Now... | online course | 6 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
0.13191533088684082,
0.19854697585105896,
0.08932644128799438,
-0.33337706327438354,
0.18243572115898132,
-0.3971405625343323,
0.44031471014022827,
0.7763172388076782,
0.1158331111073494,
-0.17708739638328552,
0.6247118711471558,
0.27292507886886597,
-0.10991983115673065,
-0.96436494588851... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Example Input: אנחנו יודעים זאת מאז שהיינו בני חמש.
Example Output: Sabémolo desde que tiñamos cinco anos.
Example Input: זה טלסקופ שיאפשר לנו להביט אחורה, לצפות בגלקסיות כמו שהן היו כשהן למעשה התכנסו, החורים השחורים הראשו... | E despois temos, "" Son un can para que te achegues con paos? "" Ve dous paos cando David só ten un.
| 3 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.4705069661140442,
0.4520769417285919,
-0.06561186164617538,
0.1067301332950592,
-0.23841817677021027,
-0.4663127660751343,
0.11272399872541428,
0.5221008062362671,
0.26228708028793335,
-0.019638771191239357,
-1.0201375484466553,
0.21483036875724792,
-0.7875388264656067,
0.26437985897064... |
You will be given a definition of a task first, then some input of the task.
A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.
کابینہ نے شہری ہوابازی کے میدان میں ہندوستان اور اسپین کے مابین تعاون کی مفاہم... | ਮੰਤਰੀ ਮੰਡਲ ਨੇ ਰਾਸ਼ਟਰੀ ਸਟੀਲ ਨੀਤੀ 2017 ਨੂੰ ਪ੍ਰਵਾਨਗੀ ਦਿੱਤੀ | 1 | NIv2 | task1052_pib_translation_urdu_punjabi | zs_opt | [
-0.5250651836395264,
1.6782333850860596,
-0.30061596632003784,
-0.5329111814498901,
-0.25302061438560486,
0.24087195098400116,
1.3976303339004517,
0.1314639151096344,
0.36244457960128784,
-0.49378126859664917,
-0.262503057718277,
-0.2943670153617859,
0.5678823590278625,
0.42241883277893066... |
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 -
'.': Period symbol is used f... | NUM
| 6 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.42405861616134644,
0.22349217534065247,
-0.09359513968229294,
0.16968664526939392,
-0.19472479820251465,
-0.6946067810058594,
0.6206176280975342,
0.6685994863510132,
-0.34993109107017517,
-0.18288084864616394,
-0.4344520568847656,
0.18322335183620453,
-0.4886572062969208,
0.4392998218536... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': D... | WP$ | 3 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.035768188536167145,
0.32928502559661865,
-0.059741295874118805,
0.3395598530769348,
0.0020747100934386253,
-0.536787748336792,
0.6665033102035522,
1.1512081623077393,
-0.6191571950912476,
-0.18258270621299744,
-0.1626792550086975,
0.2833779752254486,
-0.2772456109523773,
0.08859401941299... |
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social ca... | no
| 7 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
-0.13541445136070251,
-0.07678824663162231,
0.3934028148651123,
0.38702255487442017,
0.008880635723471642,
-0.6199750900268555,
0.9979047179222107,
0.6270709037780762,
0.26038169860839844,
0.4226618707180023,
-0.1577182561159134,
-0.2900991439819336,
-0.332183837890625,
-0.6348145008087158... |
Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
Example: excavator, crane, pelican, hoist, upraise
Example solution: pelican
Example explanation: The common category here are words related to construction. A... | Solution: cream | 5 | NIv2 | task142_odd-man-out_classification_no_category | fs_opt | [
0.028347719460725784,
0.618766188621521,
0.15390339493751526,
-0.5560780167579651,
0.2069089412689209,
0.003176767146214843,
0.30199432373046875,
0.28992217779159546,
-0.2437467724084854,
-0.6001359224319458,
-1.2484551668167114,
0.06885206699371338,
-0.7693471908569336,
0.2419697344303131... |
Given the task definition and input, reply with output. In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by select... | SELECT decor FROM Rooms ORDER BY basePrice Desc LIMIT 1 | 5 | NIv2 | task077_splash_explanation_to_sql | zs_opt | [
0.5377657413482666,
0.7049251794815063,
-1.0395894050598145,
0.8946069478988647,
-0.5409718751907349,
-0.05418428033590317,
0.6316748261451721,
0.6570802927017212,
-0.2039661854505539,
0.29161179065704346,
0.20899783074855804,
0.6214689016342163,
-0.06299017369747162,
0.3929697275161743,
... |
Detailed Instructions: Given an abstract of a paper, generate a title for this paper such that conveys the key focus of the paper.
See one example below:
Problem: Abstract: Some patients converted from ventricular fibrillation to organized rhythms by defibrillation-trained ambulance technicians (EMT-Ds) will refibrilla... | Cerebral vasospasm: a theoretical relationship between systolic thrust and pia-arachnoid fibers. | 4 | NIv2 | task619_ohsumed_abstract_title_generation | fs_opt | [
-0.03929566591978073,
0.42296141386032104,
-0.31852757930755615,
-0.10186102986335754,
-0.0763506144285202,
-0.38758689165115356,
0.48485857248306274,
0.5536031126976013,
0.4172450304031372,
0.7384024262428284,
-0.813732922077179,
0.5204026699066162,
-0.42294713854789734,
0.573782563209533... |
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive statements that are underh... | Yes | 0 | NIv2 | task607_sbic_intentional_offense_binary_classification | zs_opt | [
-1.2064099311828613,
0.19842779636383057,
0.9353119134902954,
0.8522098660469055,
0.2696843147277832,
-0.863980770111084,
0.2176927626132965,
0.9094682931900024,
0.017225906252861023,
0.36232587695121765,
-0.24349871277809143,
-0.6432101726531982,
-0.6471389532089233,
-0.45562082529067993,... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Problem:Sollevando una pietra c'era questo ragno granchio alle prese con un coleottero.
Solution: | Revirar pedras revelou esta aranha-caranguejo a lutar com um escaravelho. | 8 | NIv2 | task1255_ted_translation_it_pt | zs_opt | [
0.11910426616668701,
1.404745101928711,
-0.5528624653816223,
-0.3240286707878113,
-0.6070677042007446,
-0.5247374176979065,
-0.3666672706604004,
1.6131865978240967,
-0.5307767391204834,
-0.5060257911682129,
-0.3384993076324463,
0.19941028952598572,
-0.8749679327011108,
0.35909244418144226,... |
We would like you to classify each of the following sets of argument pairs (discussing Death Penalty) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A F... | Not similar | 0 | NIv2 | task145_afs_argument_similarity_death_penalty | zs_opt | [
-0.2275288701057434,
0.1259993463754654,
0.48513826727867126,
0.09299366176128387,
0.08037508279085159,
-0.9777388572692871,
0.38032492995262146,
0.9054912328720093,
0.16467835009098053,
0.5394924283027649,
-0.17804256081581116,
-0.20292778313159943,
-0.6854541301727295,
0.1417080461978912... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
Q: 5, ['H', '6289', 'X', 'M', 'v', 'l', 'D', '3805', '3153', 'l', 'P']
A: | H, 6289, X, M, v, l | 4 | NIv2 | task078_all_elements_except_last_i | zs_opt | [
0.5905474424362183,
-0.3178364634513855,
-0.293571799993515,
-0.42910832166671753,
-0.39860469102859497,
0.1462179720401764,
0.5237554311752319,
0.014773936942219734,
-0.14229488372802734,
-0.9336236119270325,
-1.307452917098999,
-0.472398966550827,
0.5009846687316895,
0.008075796067714691... |
Definition: 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 t... | look opposite right and turn around right thrice | 2 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.5356256365776062,
0.45357051491737366,
-0.5557758808135986,
0.12403714656829834,
0.03251791372895241,
0.05198872089385986,
0.20131409168243408,
0.6810258626937866,
0.03761908411979675,
0.007466270122677088,
-0.7306598424911499,
-0.3097436726093292,
-0.6453909873962402,
-0.041453562676906... |
Detailed Instructions: In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Problem:I recently had the internet service in my home transferred to my name . My roommate had it in his name for ages . Since the internet had been... | What may have caused you to transfer the internet service to your name ? | 8 | NIv2 | task596_mocha_question_generation | zs_opt | [
-0.07232419401407242,
1.1635072231292725,
-0.12716364860534668,
-0.3230007290840149,
0.5192087292671204,
0.0757984071969986,
0.24467240273952484,
0.5797609090805054,
0.16500544548034668,
0.13326586782932281,
0.2865578234195709,
0.47780799865722656,
-1.2097445726394653,
-0.35411161184310913... |
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".
Q: A man talks on front a bush while other person stands on his right side. then <sep> (A) , the ma... | A | 4 | NIv2 | task1389_hellaswag_completion | zs_opt | [
0.6054890155792236,
1.0017564296722412,
-0.31323593854904175,
-0.5694001317024231,
-0.5041089653968811,
-0.5653331279754639,
0.9349938631057739,
0.5462840795516968,
0.8757675886154175,
0.7236891984939575,
-0.8709782361984253,
-0.16444580256938934,
0.5181685090065002,
0.4257243871688843,
... |
Detailed Instructions: In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed wit... | A | 4 | NIv2 | task329_gap_classification | fs_opt | [
0.07866962254047394,
0.29920637607574463,
-0.09296742081642151,
0.22889265418052673,
-0.20723524689674377,
0.2356742024421692,
0.21150803565979004,
1.2968268394470215,
-0.4429687261581421,
0.06708911806344986,
-0.41470104455947876,
-0.15809296071529388,
-0.10989345610141754,
-0.43987900018... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Poradzi sobie, ale trzeba na nią uważać.
Solution: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
Why? T... | واحد من أول الضحايا لهذه الأوقات العصيبة كما أعتقد ، هو الدعم الحكومي بجميع أنواعه بالطبع ، في الواجهة الأولى الآن يقع الدعم الحكومي الموجه نحو العلم و بالذات العلم المدفوع بالفضول ، و الرغبة بالإستكشاف | 0 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-0.19374173879623413,
0.9960381984710693,
0.16427338123321533,
-0.875863790512085,
-0.05866852402687073,
-0.1631639003753662,
1.3703622817993164,
-0.0634743794798851,
0.3790881633758545,
0.19297751784324646,
-0.47958213090896606,
0.0982007309794426,
-0.8786830902099609,
0.22339440882205963... |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | director | 8 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.10806926339864731,
0.10970494151115417,
0.17748382687568665,
0.297915518283844,
0.3255012035369873,
0.6092836260795593,
0.37723851203918457,
0.384346067905426,
0.011738316155970097,
0.3446710407733917,
0.35230952501296997,
-0.15626420080661774,
-0.7993899583816528,
-0.047769442200660706,... |
In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
[Q]: [-22, -74, ... | 14
| 5 | NIv2 | task1445_closest_integers | fs_opt | [
-0.6025252938270569,
0.7830309867858887,
0.19493630528450012,
-0.30723339319229126,
-0.24803787469863892,
-0.25018852949142456,
0.8408732414245605,
0.08688247203826904,
0.29775291681289673,
-0.1673375368118286,
-0.2441556304693222,
-0.6110976934432983,
-0.6572439670562744,
0.05236875265836... |
A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
[EX Q]: પ્રાથમિક આરોગ્ય કાળજીને મજબૂત બનાવવી અને આરોગ્ય કેન્દ્રોની સુવિધા ઉભી કરવી
[EX A]: - प्राथमिक चिकित्सा सेवाओं की मजबूती और स्वास्थ्य सेवा सुविधा... | जेडब्ल्यूजी का क्षेत्र और कार्य सीमाएं:
| 6 | NIv2 | task1033_pib_translation_gujarati_hindi | fs_opt | [
-0.027163472026586533,
0.28119945526123047,
0.3316374719142914,
-0.98406583070755,
0.1766805797815323,
-0.676836371421814,
-0.4459683895111084,
0.3616098463535309,
-0.2638372778892517,
-0.5070293545722961,
-0.2154647409915924,
-0.41891777515411377,
-0.2393065243959427,
0.31419628858566284,... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
Example input: M: I am considering dropping my dancin... | To buy a new house. | 3 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
-0.13581766188144684,
0.4665714204311371,
-0.05349971354007721,
-0.41970884799957275,
0.384073406457901,
-0.5741435885429382,
0.5941824913024902,
0.4027561545372009,
0.6525343656539917,
-0.16148822009563446,
-0.7431511878967285,
-0.21807870268821716,
-0.5009471774101257,
-0.312586426734924... |
Detailed Instructions: In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Q: LkKBHK, nYKBij
A: | KB | 9 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | zs_opt | [
0.33935242891311646,
1.1943614482879639,
0.4308459758758545,
-0.13900555670261383,
-0.36104682087898254,
-0.4014430046081543,
0.8819935917854309,
-0.9741197824478149,
0.04363761842250824,
0.05186004191637039,
-0.5865085124969482,
-0.014138197526335716,
-0.8553276062011719,
1.25852108001708... |
Instructions: A text is given in Bengali. Translate it from the Bengali language to the Malayalam language. The translation must not omit or add information to the original sentence.
Input: বিজ্ঞান এবং তার বিভিন্ন গবেষণার বিষয়ে প্রধানমন্ত্রী সর্বদাই উৎসাহী। ইসরোর বিজ্ঞানীদের তাঁর এই সফর উৎসাহিত করবে এবং তরুণদের উদ্ভাব... | ശാസ്ത്രത്തോടും അതിന്റെ നേട്ടങ്ങളോടും വളരെതാല്പര്യമുള്ള ഒരു പ്രധാനമന്ത്രി എന്ന നിലയില് പ്രധാന മന്ത്രി ശ്രീ. മോദിയുടെഐഎസ്ആര്ഒ സന്ദര്ശനം ഇന്ത്യന് ബഹിരാകാശ രംഗത്തു പ്രവര്ത്തിക്കുന്ന ശാസ്ത്രജ്ഞരുടെ ആത്മവീര്യംവര്ധിപ്പിക്കുകയുംയുവ തലമുറയ്ക്ക് അന്വേഷണാത്മക മനസ്വികസിപ്പിക്കാന് പ്രചേദനമാവുകയുംചെയ്യും. | 3 | NIv2 | task1003_pib_translation_bengali_malayalam | zs_opt | [
-0.8846313953399658,
-0.04544247314333916,
-0.14974214136600494,
-0.20122681558132172,
-0.7013257145881653,
-0.8039780855178833,
0.6436394453048706,
-0.7117785811424255,
-0.3361324667930603,
-0.3625849783420563,
-0.7771335244178772,
0.24066871404647827,
0.045024458318948746,
0.509019792079... |
Instructions: You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hy... | entails | 3 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
0.2582383453845978,
0.8071802258491516,
-0.0016211402835324407,
-0.6801958084106445,
-0.37031614780426025,
-1.2517166137695312,
0.5148583054542542,
0.6276935935020447,
-0.032043665647506714,
-0.43457674980163574,
-0.6029762029647827,
-0.7567665576934814,
-0.20974749326705933,
0.22223328053... |
Part 1. Definition
A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
Part 2. Example
വനിതകളുടെ 53 കിലോഗ്രാം ഭാരോദ്വഹനത്തില് സ്വര്ണ്ണ മെഡല് നേടിയ കെ
Answer: 53 ਕਿਲੋਗ੍ਰਾਮ Women ਰਤਾਂ ਦੇ ਭਾਰ ਘਟਾਉਣ ਵਿੱ... | ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਫੀਫਾ ਅੰਡਰ-17 ਵਰਲਡ ਕੱਪ ਵਿੱਚ ਹਿੱਸਾ ਲੈਣ ਵਾਲੀ ਭਾਰਤੀ ਟੀਮ ਨਾਲ ਮੁਲਾਕਾਤ ਕੀਤੀ | 7 | NIv2 | task1005_pib_translation_malayalam_punjabi | fs_opt | [
0.2620469927787781,
0.395713746547699,
-1.1521227359771729,
-0.6747976541519165,
0.06577800214290619,
-0.9613879919052124,
0.9008788466453552,
0.3744697570800781,
-0.2738276422023773,
-0.1123882532119751,
-1.2189406156539917,
0.0011502678971737623,
-0.9257693886756897,
0.6438030004501343,
... |
Q: In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
Context: I saw that he came back and... | no | 7 | NIv2 | task241_tweetqa_classification | zs_opt | [
-0.4574211537837982,
0.6217484474182129,
0.04728691279888153,
0.5457614660263062,
-0.02626768685877323,
-0.2563357651233673,
0.8424412608146667,
0.5320984125137329,
0.32472869753837585,
0.7701142430305481,
-0.04286949336528778,
0.41362684965133667,
-0.7199046611785889,
0.09057942032814026,... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Input: Consider Input: Sentence: 'cars driving down the road on a cloudy day'. Count the number of vowels in the given sentence.
Output: 12
Input: Consider Input... | Output: 13
| 2 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
-0.03357993811368942,
0.10682143270969391,
-0.8316867351531982,
-0.3903222978115082,
-0.14121094346046448,
-0.27281397581100464,
-0.3221500813961029,
0.746424674987793,
-0.20633231103420258,
-0.0066863722167909145,
-0.46966615319252014,
-0.39951634407043457,
0.35525888204574585,
-0.5454207... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
I loved The Hobbit.
Output: | Do you like fantasy novels? | 1 | NIv2 | task568_circa_question_generation | zs_opt | [
0.05330818518996239,
0.6222054958343506,
-0.3635222911834717,
0.452684223651886,
-0.2206011712551117,
-0.3535185158252716,
0.8260748386383057,
-0.5804963111877441,
0.4595962166786194,
-0.3003689646720886,
-0.473212331533432,
-0.21656504273414612,
-1.045650839805603,
-0.35465553402900696,
... |
Given the task definition and input, reply with output. In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Sentence: 'a photo of a large clock on the shore of a body of water'. Reverse al... | a photo of a large clock on eht shore of a body of water | 5 | NIv2 | task378_reverse_words_of_given_length | zs_opt | [
-0.3524264693260193,
0.8404110074043274,
-0.13165807723999023,
-0.43391817808151245,
-0.1652693897485733,
0.10243609547615051,
0.1821218878030777,
0.1977289617061615,
-0.016395166516304016,
-0.6438920497894287,
-1.048764705657959,
-0.2537933588027954,
-0.45840680599212646,
0.19873359799385... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in German, generate a new German 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 hi... | Wenn Sie in der Nähe zu laufen aus dem Dampf dann sollten Sie mit dem Hinzufügen von Wasser. | 1 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.9082769155502319,
1.0154973268508911,
0.3332846164703369,
-0.5131295919418335,
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-0.545723557472229,
-0.23023152351379395,
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0.023147165775299072,... |
Teacher: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Italia berhasil mengalahkan... | イランの若者は、異様なヘアースタイルを見せびらかしたり、ジェルで髪を立てたりしないことになっている。 | 2 | NIv2 | task1116_alt_id_ja_translation | fs_opt | [
-0.15926671028137207,
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0... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
For weeks, all the volunteers and locals alike had been finding similar things.
Output: | Durante semanas, tanto los voluntarios como los vecinos encontraron cosas similares. | 1 | NIv2 | task1219_ted_translation_en_es | zs_opt | [
-0.3624928295612335,
0.5517396926879883,
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-0.21017132699489594,
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-0.209553718566... |
Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: กฎหมายนี้ได้รับการแนะนำขึ้นเมื่อ Carolina Anderson อายุ 7 ปี ถูกจู่โจมในปี 2003
A: この法律は、2003年に7歳のキャロライナ・アンダーソンが襲われたときに提案された。
****
Q: การส่งดาวเท... | 1機の航空機のエンジンが空中で酷い損傷を受けたが、怪我人なく無事シンガポール空港に着陸したのに続き、「スーパージャンボ」航空機の全6機が3週前に地上に着陸した後、オーストラリアの航空会社カンタスはエアバスA380sの航空機によるサービスを初めて再開した。
****
| 4 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
-0.49850136041641235,
0.2633761763572693,
-0.5881426334381104,
-0.34476596117019653,
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0.7298129796981812,
0.7734634876251221,
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0.4053207039833069,
-0.6506676077842712,
1.1497855186462402,
-0.412636399269104,
0.20104914903640747... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surpris... | No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion | 8 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.34121495485305786,
0.4590389132499695,
-0.3336983621120453,
-0.45600950717926025,
0.12848106026649475,
-0.9101815223693848,
0.9680244326591492,
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-0.18201632797718048,
-0.46228712797164917,
-0.15958178043365479,
-1.1241645812988281,
0.133165225386... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
ومايثير الانتباه في بالبسفينول هو كونه استروجين قوي لدرجة انه في الواقع كان يستخدم كهرمون استروجين اصطناعي في العلاج الهرموني | מה שמעניין ב-BPA הוא שמדובר באסטרוגן חזק ביותר עד כדי כך שבעבר השתמשו בו כאסטרוגן סינתטי בטיפולים הורמונליים. | 0 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.051156893372535706,
0.606876015663147,
-0.926910400390625,
-0.4523766338825226,
-0.8237679600715637,
-0.6101236343383789,
1.0779814720153809,
0.18049702048301697,
1.0158318281173706,
-0.6713978052139282,
-1.4945201873779297,
0.8735431432723999,
-0.5458741188049316,
0.012559998780488968,... |
Given a sentence and a label in Croatian, select the correct answer. There are 2 choices given, out of which only one is correct for a given statement and label. The label of the task is either 'cause' or 'effect'. The output will be the choice which matches the label with the given statement. If the label is 'cause', ... | Output: Ocjene su mu se popravile.
| 2 | NIv2 | task1626_copa_hr_question_answering | fs_opt | [
0.046120524406433105,
0.3296908140182495,
-0.2764931321144104,
0.24881936609745026,
-0.6542383432388306,
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0.005517830606549978,
0.4832717478275299,
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-0.24845369160175323,
-0.37398970127105713,
0.8056600093841553,
-0.8211473226547241,
0.1071534752845... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Q: Comment: Only one way to handle a terrorist. ... | Non-threat
****
| 4 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
0.009306150488555431,
0.5886715650558472,
-0.2059095948934555,
0.315146803855896,
-0.06476360559463501,
-0.6223659515380859,
0.8047193288803101,
1.3258275985717773,
0.24774186313152313,
0.3346194624900818,
-0.43887001276016235,
0.2633165121078491,
-0.8497581481933594,
-0.699978232383728,
... |
TASK DEFINITION: In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicat... | c
| 8 | NIv2 | task231_iirc_link_classification | fs_opt | [
0.7438931465148926,
-0.1349591612815857,
-0.4310823678970337,
0.15424475073814392,
0.7317190766334534,
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0.9180976152420044,
0.9390696287155151,
-0.5069441199302673,
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0.26478829979896545,
0.2412240356206894,
-0.4331672489643097,
0.010477431118488312,
... |
Given the task definition and input, reply with output. Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The outpu... | heart HasProperty red | 5 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
-0.27562201023101807,
1.1343494653701782,
0.38344600796699524,
-0.20084375143051147,
-0.6128893494606018,
0.06192956864833832,
0.4957403242588043,
-0.03362562507390976,
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-0.7773693203926086,
-0.8090949058532715,
0.2799338698387146,
-0.6756592988967896,
0.1541737467050552... |
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.
Q: Passage: In... |
****
| 4 | NIv2 | task390_torque_text_span_selection | fs_opt | [
0.06401148438453674,
0.22264069318771362,
-0.48052674531936646,
-0.17217162251472473,
0.08099915087223053,
0.6672506332397461,
0.5276721119880676,
0.7347941994667053,
0.3603852391242981,
0.45077794790267944,
-0.5261226296424866,
-0.05363646149635315,
-0.5448198914527893,
0.0808805748820304... |
Given a sentence in Arabic, generate a new Arabic 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 bei... | تُستخدم فرشاة مراحيض في حاويات التنظيف.
****
| 4 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | fs_opt | [
-0.174310103058815,
0.8113677501678467,
-0.12230364978313446,
-0.2950704097747803,
-0.4773128032684326,
-0.4482716917991638,
1.4619415998458862,
1.0429304838180542,
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-1.2852485179901123,
0.27244463562965393,
-0.924480676651001,
0.2513560950756073,
... |
Detailed Instructions: In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
See one example below:
Problem: Context_1 : Charles Edward Ives ( ; October 20, 1874Ma... | 1903 | 4 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.7382980585098267,
0.3111075758934021,
-0.894339382648468,
1.0314112901687622,
0.48430487513542175,
-0.177122563123703,
0.7324062585830688,
0.6067227721214294,
-0.015391341410577297,
0.3854271173477173,
-0.048919644206762314,
0.4896843731403351,
-0.8824536204338074,
-0.06685017049312592,
... |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
One example is below.
Q: در ابتدا، خدا آسمانها و زمین را آفرید.
A: In the beginning God created the heaven and the earth.
Rationale: This is a good example. The above sentence is correctly translated from Pe... | Or hath God assayed to go and take him a nation from the midst of another nation, by temptations, by signs, and by wonders, and by war, and by a mighty hand, and by a stretched out arm, and by great terrors, according to all that the LORD your God did for you in Egypt before your eyes? | 9 | NIv2 | task654_bible_fa_en_translation | fs_opt | [
-0.5621489882469177,
1.4351837635040283,
-0.32847797870635986,
-0.2073667347431183,
-0.8335403203964233,
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0.812442421913147,
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0.470003604888916,
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-0.950975239276886,
0.6891306638717651,
-0.4618721008300781,
0.025433484464883804,
... |
TASK DEFINITION: In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
PROBLEM: Context: "If you ... | yes
| 8 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.5120019316673279,
0.5108901262283325,
0.0054350863210856915,
-0.06938274204730988,
-0.04116879031062126,
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0.43273764848709106,
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0.15959835052490234,
-0.20039834082126617,
-0.6373227834701538,
-0.1279384344816208,
0.33665263652... |
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 an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the li... | Numbers Win | 0 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt | [
0.20039574801921844,
0.11006191372871399,
-0.35708463191986084,
-0.006527784746140242,
-0.1071520447731018,
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0.1298520714044571,
-1.0499567985534668,
0.2508029639720917,
-0.18736518919467926,
-0.044687997549... |
Teacher: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Teacher: Now, understand the problem? If you are still confused, see the following example:
אחרי הכל, הם החליטו, והם עשו,
Solution: Afinal de contas elas é que decidem, e decidiram mesmo.
Reason: The Hebrew sentenc... | Se a energia escura continuar por cá, as estrelas à nossa volta irão esgotar o seu combustível nuclear, irão parar de arder. | 2 | NIv2 | task1114_ted_translation_he_pt | fs_opt | [
0.2904103398323059,
0.8923566937446594,
0.47245341539382935,
-0.9727376699447632,
-0.8294790983200073,
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0.35693350434303284,
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0.2645271122455597,
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-0.45093709230422974... |
Definition: Given the sentence, generate "yes, and" response. "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 thought or context ("and..."). 1 In short, a "Yes, and" is a dial... | Well, I hadn't even considered if you wanted to do this as part of the whole experience. | 2 | NIv2 | task360_spolin_yesand_response_generation | zs_opt | [
0.6400796175003052,
0.6939270496368408,
0.6510956287384033,
-0.12631070613861084,
0.2678181529045105,
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0.01415739580988884,
-0.9207623600959778,
0.36902904510498047,
... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Ex Input:
ニュージーランドの農民らは、現役農業犬をマイクロチップ規制から除外することに関し議員が投票を行い、61対60で可決されたことで、議会で大きな勝利を勝ち取った。
Ex Output:
កសិករនូវែលហ្សេឡង់បានឈ្នះនូវជ័យជំនះដែលសំខាន់... | គាត់គឺជាប្រធានាធិបតីដំបូងបំផុតដែលធ្វើដំណើរទស្សនកិច្ចទៅ ប្រទេសរ៉ូម៉ានីចាប់តាំងពីបដិវត្តន៍រ៉ូម៉ានីឆ្នាំ1989ដែលបានផ្តួលរំលំរបបកុំម្មុយនីស្ត។
| 1 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.1992814540863037,
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-0.6978278160095215,
0.6585313081741333,
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-0.8963060975074768,
0.352469265460968,
-0.43319499492645264,
-0.084948107600212... |
Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and... | June finds out she has a broken arm >Causes> June feel(s) distressed | 3 | NIv2 | task749_glucose_reverse_cause_emotion_detection | zs_opt | [
-0.2811616361141205,
0.4361121952533722,
-0.06258488446474075,
-0.19250331819057465,
0.07667572796344757,
-1.1225590705871582,
0.673734188079834,
1.1059857606887817,
-0.06605120003223419,
0.4657876789569855,
-0.13107334077358246,
0.27295228838920593,
-0.22610162198543549,
-0.31183886528015... |
Given the task definition and input, reply with output. In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
ACTION1: not letting my husband int... | no | 5 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
-0.3921084702014923,
0.20001602172851562,
0.5119486451148987,
0.308461457490921,
-0.1883401870727539,
-0.6901454925537109,
-0.004929859656840563,
0.6667115092277527,
0.09114883840084076,
0.6093935966491699,
-0.26155805587768555,
-0.5568851828575134,
-0.5983275175094604,
-0.8051978349685669... |
instruction:
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... | personal
| 9 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-1.0485334396362305,
0.1618671715259552,
0.3097588121891022,
0.35458245873451233,
-0.3168904185295105,
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0.6954030990600586,
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-0.4128771424293518,
0.23407641053199768,
-0.6006869077682495,
-0.23316006362438... |
Detailed Instructions: This task is about translating a given Yoruba language sentence to English.
Problem:Aminu Tambuwal olùdíje fún ipò gómìnà láti inú ẹgbẹ́ alábùradà (PDP) ní ilé ẹjọ́ gíga ti gbà gẹ́gẹ́ bíi ẹni tó jáwé olúborí nínú ìdìbò gómìnà ti ọdùn 2019
Solution: | Aminu Tambuwal of the PDP has been affirmed as the winner of the 2019 governorship election in Sokoto State by Nigeria’s Supreme Court. | 8 | NIv2 | task1686_menyo20k_translation | zs_opt | [
-0.2744653820991516,
0.36104318499565125,
0.7844607830047607,
-0.46613574028015137,
-0.4599578380584717,
-1.1925866603851318,
-0.6483332514762878,
0.18030089139938354,
0.5763310194015503,
0.2396223098039627,
-0.4854842722415924,
0.2370322346687317,
-0.3513961434364319,
0.0778849869966507,
... |
TASK DEFINITION: In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
PROBLEM: F: Can you come and see me a... | He got there in only five minutes.
| 8 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
1.1719849109649658,
0.2155190408229828,
-0.31279313564300537,
-0.8537695407867432,
0.44682854413986206,
-0.6347079873085022,
1.2943568229675293,
0.01910281926393509,
0.12186674773693085,
-0.22623130679130554,
-0.6133829355239868,
0.37432292103767395,
-0.18708446621894836,
0.245474174618721... |
You will be given a definition of a task first, then some input of the task.
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (... | They are complaining that google is slow to release anything but beta . | 1 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
-0.46317148208618164,
0.14577467739582062,
-0.014292752370238304,
-0.022174064069986343,
0.0802803635597229,
-0.34430867433547974,
0.21867142617702484,
0.6910235285758972,
0.2077423632144928,
0.12060228735208511,
-0.13977734744548798,
0.3522111773490906,
-0.01903015375137329,
-0.3097754418... |
Teacher:In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Teacher: Now, understand the problem? Solv... | [6615, 300, 756, -162, 3487050, 405504] | 6 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.046173229813575745,
0.3093235194683075,
-0.41978833079338074,
-0.8164539337158203,
-0.32681360840797424,
0.055064499378204346,
1.311484694480896,
0.3564222753047943,
-0.14597296714782715,
-0.35649609565734863,
-0.7514001131057739,
0.10017524659633636,
-0.6176933646202087,
-0.51632869243... |
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