inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then some input of the task.
In this task, you need to remove 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: 'several different fruits laying together in a bun... | several different fruits laying together in bunch | 1 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
0.017428359016776085,
0.29225659370422363,
-0.27499425411224365,
-0.45149338245391846,
0.13882976770401,
-0.10054176300764084,
-0.02121761254966259,
0.4332888722419739,
0.035841114819049835,
-0.38669323921203613,
-1.0067107677459717,
-0.6378099918365479,
-0.6402349472045898,
-0.17025791108... |
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "d... | Output: 7.
| 2 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.9171421527862549,
0.3726400136947632,
-0.527458131313324,
0.1453520804643631,
0.14764410257339478,
-0.40818488597869873,
0.842430591583252,
0.6676440238952637,
-0.3077225089073181,
-0.051009129732847214,
-0.8135071992874146,
0.8604594469070435,
-0.5412915349006653,
0.07308820635080338,
... |
Given the task definition and input, reply with output. Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Various shots of a theme park are shown including rides moving, people playing games, and other people interacting with one another... | stand high in the air while the man continues to play along. | 5 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
-0.0005177689017727971,
1.0522314310073853,
-0.34981101751327515,
-0.17399835586547852,
-0.631134033203125,
0.4742986857891083,
-0.10428766161203384,
0.08477725088596344,
0.8516008257865906,
-0.26443707942962646,
-0.611861526966095,
0.0006171693676151335,
-0.29700416326522827,
-0.102068461... |
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
[Q]: Over the centuries, the living here has always been easy enough to attract a steady stream of immigrants.... | Yes
| 5 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.5041433572769165,
0.1656477451324463,
-0.2360830456018448,
0.13879725337028503,
0.5849747657775879,
-0.6133154630661011,
0.7876853942871094,
0.8559905290603638,
-0.09100162982940674,
0.1885516494512558,
-0.37926822900772095,
0.5970820188522339,
-0.0021528920624405146,
0.3053649365901947,... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct ... | (A)
| 5 | NIv2 | task268_casehold_legal_answer_generation | fs_opt | [
0.4312993884086609,
0.6525847911834717,
-0.24703606963157654,
-0.06589686870574951,
0.21382389962673187,
-0.5119473934173584,
0.16173401474952698,
0.8963748216629028,
-0.30121278762817383,
0.0236655343323946,
0.08753859996795654,
0.14067396521568298,
-0.6343202590942383,
0.0516019687056541... |
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Paragraph: Dendritic cells (DCs) link the sensing of t... | True
| 0 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.39918088912963867,
-0.0586225688457489,
-0.641309380531311,
0.2094731479883194,
0.43805214762687683,
-0.860196590423584,
0.7252134084701538,
0.38824325799942017,
-0.3160051703453064,
0.31779342889785767,
-0.4573584198951721,
-0.11898618936538696,
-0.7934535145759583,
0.13010749220848083,... |
Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: کاربر توییتر Utangac Adam چنین پاسخ فرماندار را میدهد:
A: | Twitter user Utangac Adam replied to the governor: | 9 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-1.222651481628418,
0.9130985736846924,
0.47049975395202637,
-0.6161502599716187,
-0.15415818989276886,
-0.8620878458023071,
0.6744384765625,
0.5689660310745239,
0.2937191128730774,
-0.4233795404434204,
0.22881387174129486,
0.2964802086353302,
-0.7495009899139404,
0.32711464166641235,
-0... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
Q: العشرينات والستينات نتذكرها.
A: | The '20s and the' 60s also come to mind. | 4 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
0.21068474650382996,
1.2003974914550781,
0.2361685335636139,
0.10087783634662628,
-0.6557025909423828,
-0.3162050247192383,
1.5157649517059326,
0.5858554840087891,
0.6730835437774658,
-0.4091354012489319,
-0.254355251789093,
0.5741042494773865,
-1.6543946266174316,
0.5165413618087769,
0.... |
Given the task definition and input, reply with output. In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
don't lie don't tell me what to do wowthat was rude
| angry | 5 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-0.8942073583602905,
0.8606948256492615,
1.219770908355713,
-0.7626321315765381,
-0.5975733995437622,
-0.19068144261837006,
0.5290189981460571,
0.28407034277915955,
0.49800989031791687,
-0.10513001680374146,
-0.3888189196586609,
-0.5979498624801636,
-0.6092298030853271,
-0.4250015616416931... |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Q: Article: indian shares were down #.## percent by noon thursday , joining an asian market plunge sparked by the financial turmoil... | yes | 4 | NIv2 | task289_gigaword_summarization | zs_opt | [
-1.2202095985412598,
0.016034245491027832,
0.20730635523796082,
0.41723424196243286,
-0.16609473526477814,
-0.09848597645759583,
-0.032060444355010986,
0.7633069753646851,
-0.5708742737770081,
0.10038512945175171,
-0.5888149738311768,
-0.16043832898139954,
-0.5147538185119629,
-0.094563327... |
Definition: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Input: hcscchhhsscchcc
Output: | cchcc | 2 | NIv2 | task850_synthetic_longest_palindrome | zs_opt | [
-0.5010454058647156,
0.7523394823074341,
-0.34996381402015686,
-0.3110915422439575,
-0.46168047189712524,
-0.2694743573665619,
1.0098129510879517,
-0.5686130523681641,
0.14156830310821533,
-0.28483688831329346,
-0.9592537879943848,
0.16952985525131226,
-0.1848735213279724,
0.39113652706146... |
Instructions: You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Input:... | cliffs | 3 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
0.2225499153137207,
0.49123990535736084,
-0.29062193632125854,
-0.06413431465625763,
-0.12752656638622284,
-0.6304405927658081,
0.33419838547706604,
0.8090251684188843,
-0.1388877034187317,
-0.24613726139068604,
0.2494499683380127,
-0.23329049348831177,
-0.13620153069496155,
-0.33536544442... |
Teacher:Two analogies that signify affordances are given in the form "A : B. C : ?". Affordance is the possibility of an action being done on an object, for example book is an affordance of writing. The phrase "A : B" implies that B is an affordance of A. Your task is to replace the question mark (?) with the appropria... | horse | 6 | NIv2 | task1153_bard_analogical_reasoning_affordance | zs_opt | [
0.3107067942619324,
1.0618674755096436,
-0.006563444156199694,
0.18251165747642517,
-0.4143824577331543,
0.11919087171554565,
1.382828712463379,
0.8074327707290649,
0.44691482186317444,
-0.7487475872039795,
-0.7912266254425049,
0.14770838618278503,
0.08545058220624924,
0.022872162982821465... |
Instructions: 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 thoug... | CNN | 3 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
-0.6460200548171997,
0.3042466640472412,
-0.5850062370300293,
-0.049853526055812836,
0.25760239362716675,
0.19817417860031128,
0.5801019668579102,
0.6508094072341919,
0.16191965341567993,
0.21872305870056152,
-0.3808908760547638,
0.0022431255783885717,
-0.07128331065177917,
0.0966575294733... |
Detailed Instructions: A question is presented to you in this task, and your job is to write a potentially correct answer.
Q: what does duffy sing?
A: | Mercy | 9 | NIv2 | task1412_web_questions_question_answering | zs_opt | [
-0.6348307132720947,
1.965649962425232,
-0.6376055479049683,
-0.5709789991378784,
-0.7153862118721008,
-0.10512471944093704,
0.475207656621933,
-0.05003173276782036,
0.11921067535877228,
0.12437338382005692,
0.03499782830476761,
-0.5896130204200745,
-0.08444920182228088,
-0.109694018959999... |
In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the choice... | 2 | 9 | NIv2 | task200_mnli_entailment_classification | fs_opt | [
0.11047688126564026,
0.3993772268295288,
0.15894123911857605,
-0.5269491672515869,
0.28020215034484863,
-0.22307071089744568,
-0.3003970980644226,
0.831136167049408,
0.01723942533135414,
-0.21208134293556213,
0.061296574771404266,
-0.34956610202789307,
0.04587976634502411,
-0.6282327771186... |
TASK DEFINITION: In this task, you will be shown a sentence, and you should determine whether it is overruling or non-overruling. In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent by a constitutionally valid statute or a decision by the same or higher ranking court whi... | non-overruling
| 8 | NIv2 | task274_overruling_legal_classification | fs_opt | [
0.06564877927303314,
1.078842043876648,
0.23744231462478638,
-0.9646243453025818,
-0.038234367966651917,
-0.478815495967865,
0.11120987683534622,
0.9938839077949524,
0.250940203666687,
-0.11951617896556854,
-0.23840174078941345,
-0.5040870904922485,
-0.5250895023345947,
-0.2848740816116333... |
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Gujarati: એક સેલફોન ઇમેજ પર staring પુરુષો એક જૂથ
English: a group of men staring at a... | Yes | 0 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-0.8927525281906128,
0.5259155035018921,
-0.19297051429748535,
-0.44184112548828125,
-0.17581585049629211,
-0.7158766984939575,
0.32364022731781006,
-0.17442548274993896,
-0.09664776921272278,
-0.5038610696792603,
-0.5428417921066284,
0.12313918769359589,
-0.59560227394104,
-0.005947815719... |
Given a question, generate a paraphrase of that question wihout changing the meaning of it. Your answer should reword the given sentence, but not add information to it or remove information from it. The answer to your question should be the same as the answer to the original question.
Q: Question: what was the first bo... | what was nicholas sparks first published novel? | 4 | NIv2 | task442_com_qa_paraphrase_question_generation | zs_opt | [
0.25777411460876465,
1.6586920022964478,
0.4076451063156128,
0.18615011870861053,
-0.473466157913208,
-0.6437051892280579,
2.142270088195801,
-0.38396626710891724,
0.2382420301437378,
0.06882470846176147,
-0.34838753938674927,
-0.17127840220928192,
-1.5330432653427124,
0.26193922758102417,... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r... | Solution: Option B | 5 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.7466526031494141,
-0.1318332552909851,
-0.7087984085083008,
-0.3546363413333893,
0.2818000912666321,
-0.17311963438987732,
0.8604263663291931,
0.8283408880233765,
-0.0671021118760109,
0.05410301685333252,
-0.3943604826927185,
0.11462849378585815,
-0.2605492174625397,
-0.6299900412559509,... |
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating... | Is metastasectomy for metastatic renal cell carcinoma in the era of modern systemic treatment : C-reactive protein an independent predictor of overall survival?
| 5 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.08944537490606308,
-0.0052965604700148106,
-0.8134206533432007,
0.3750353753566742,
0.5087361335754395,
-0.6294212341308594,
0.19504423439502716,
0.9002442359924316,
-0.16636303067207336,
0.28572213649749756,
-0.17065823078155518,
0.21024397015571594,
-0.5857857465744019,
0.3977969288825... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Q: A marca tem um calcanhar de Aquiles.
A: | Il marchio ha un tallone d'Achille. | 9 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
0.08064842969179153,
1.2813842296600342,
-0.6437889933586121,
0.48596590757369995,
-0.41755715012550354,
-0.8639790415763855,
0.06021139770746231,
0.5635524988174438,
0.4913063049316406,
-0.014381185173988342,
0.21085965633392334,
0.3838551342487335,
-0.3621649146080017,
0.5231932401657104... |
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Sentence: 'a woman ... | Yes | 0 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.10164989531040192,
0.7609938383102417,
-0.1718149483203888,
-0.1273914873600006,
-0.011575616896152496,
-0.5301792025566101,
0.04105318337678909,
0.6757854223251343,
0.341230571269989,
-0.3550858497619629,
-0.29091066122055054,
-0.10550178587436676,
0.17163187265396118,
-0.0699538215994... |
instruction:
Given a sentence in French, generate a new French 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 probabil... | L'effet de l'achat d'une bière est que vous buvez la bière.
| 9 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | fs_opt | [
-0.34593653678894043,
0.8263471126556396,
0.3397848606109619,
0.08046434819698334,
0.15195052325725555,
-0.4435824453830719,
0.6262186765670776,
0.7408207654953003,
0.11704046279191971,
-0.2035037875175476,
-1.3707275390625,
0.0004871364217251539,
-0.38951385021209717,
0.2596948742866516,
... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | strengthener | 3 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
-0.0620027557015419,
0.24008864164352417,
-0.15387895703315735,
-0.3052712678909302,
-0.08379776775836945,
-0.6639242172241211,
1.1218706369400024,
1.2855846881866455,
0.7684229612350464,
-0.21617203950881958,
-1.4330147504806519,
-0.03344644978642464,
-0.5079398155212402,
-0.0276362169533... |
You will be given a definition of a task first, then some input of the task.
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, Per... | Yes | 1 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.315879225730896,
0.08325554430484772,
0.7893970012664795,
-0.1013069897890091,
-0.08390527963638306,
-0.9622520208358765,
0.7977328300476074,
0.8961142301559448,
-1.0299735069274902,
-0.5469294786453247,
-0.11465875059366226,
-0.6825618743896484,
-0.3955543339252472,
-0.05697491765022278... |
Given the task definition and input, reply with output. In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be inst... | None | 5 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | zs_opt | [
-0.852160632610321,
0.3793412446975708,
-0.06314405798912048,
-0.4013618230819702,
-0.5209119319915771,
0.09199828654527664,
1.3938013315200806,
0.14645183086395264,
0.25155699253082275,
-0.5487841367721558,
-0.9052144289016724,
0.49786582589149475,
0.1891871988773346,
0.031593747437000275... |
You are given a statement written in Bengali. 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 .
Let me give you an example: Statement: ১লা ফেব্রুয়ারী <MASK> ভ্রমণ প্রদর্শক হিসেবে কর্মরত একজন চীনের নাগরিককে দ... | পাকিস্তান | 8 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | fs_opt | [
0.3406796157360077,
0.1402166485786438,
-0.4705254137516022,
0.22757472097873688,
-0.024094726890325546,
0.2075026035308838,
-0.36922627687454224,
0.952771782875061,
-0.2322298288345337,
0.02568228729069233,
-0.1491134762763977,
0.7289873361587524,
-0.33022749423980713,
0.3483107089996338,... |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: স্তন্যপান সম্পর্কে অভিভাবকদের সচেতন ও উৎসাহদানে গুরুত্ব বিশ্ব স্তন্যপান সপ্তাহ পয়লা থেকে ৭ই আগস্ট... | विज्ञानाबाबत माझ्या युवा मित्रांनी अनेक प्रश्न मला विचारले आहेत, काही ना काही लिहिले आहे. | 4 | NIv2 | task1061_pib_translation_bengali_marathi | fs_opt | [
-0.23068541288375854,
0.2958241105079651,
-0.5269400477409363,
0.3751341700553894,
-1.012385368347168,
-0.7982121109962463,
0.732695996761322,
0.25231900811195374,
0.23694992065429688,
-0.3506855368614197,
-0.9896174669265747,
0.12839773297309875,
-0.5588101744651794,
0.6084959506988525,
... |
instruction:
The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
question:
- ఈ బయటకు ఉండండి, మీరు mangy ఫూల్స్!
answer:
- Stay out of this, you mangy fools!
question:
మేముప్... | There's no way we're gonna make it to Bristol.
| 9 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.22646135091781616,
0.8066185712814331,
0.23489055037498474,
0.18925422430038452,
0.2896367907524109,
-1.769939661026001,
0.41949760913848877,
-0.5047751069068909,
0.03128717839717865,
-0.17325061559677124,
-0.985877275466919,
0.10319000482559204,
-1.1337978839874268,
0.3808128237724304,... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Relationship: 'be law of', Argument/Subject 1: 'constitution', Argument/Subject 2: 'state' | For decades , FLDS leaders have ignored numerous state laws and the Arizona Constitution , which forbids polygamy , in their relentless quest for plural wives . | 0 | NIv2 | task677_ollie_sentence_answer_generation | zs_opt | [
0.1392400562763214,
0.998150646686554,
0.2038092017173767,
-0.6779922246932983,
-0.6564638614654541,
-0.3007644712924957,
0.40870195627212524,
1.2186931371688843,
0.23079153895378113,
-0.32309097051620483,
-0.7639842629432678,
-0.995081901550293,
-0.49944567680358887,
-0.34272319078445435,... |
In this task, you need to count the number of nouns/verbs in the given sentence.
--------
Question: Sentence: 'some people and some different skateboards on display'. Count the number of nouns in this sentence.
Answer: 3
Question: Sentence: 'A woman standing next to a giant refrigerator freezer'. Count the number of... | 1
| 7 | NIv2 | task155_count_nouns_verbs | fs_opt | [
0.6145836114883423,
0.578955888748169,
-0.5907006859779358,
-0.2540568709373474,
-0.34415727853775024,
-0.13383767008781433,
0.050947949290275574,
0.6078938841819763,
0.015832923352718353,
-0.255073219537735,
-0.519040048122406,
-0.052259646356105804,
-0.07508612424135208,
0.44085562229156... |
Given a sentence in Chinese, generate a new Chinese 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 b... | Solution: 盐在热介质中比在冷水中更有效地创造。 | 5 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
0.235381618142128,
0.3073578178882599,
-0.4751574397087097,
-0.18243756890296936,
-0.01841488666832447,
-0.614409863948822,
-0.17034566402435303,
0.5734320282936096,
-0.29583239555358887,
-0.08510266244411469,
-0.5394940972328186,
-0.041334014385938644,
-0.27750363945961,
-0.04607993364334... |
Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear view tow... | Positive | 0 | NIv2 | task420_persent_document_sentiment_classification | zs_opt | [
-0.32798171043395996,
0.4364513158798218,
-0.4179767966270447,
0.4412006139755249,
0.012039314955472946,
-0.4482227563858032,
1.139666199684143,
0.5989980697631836,
-0.3935859203338623,
0.14986246824264526,
0.166579008102417,
1.2244446277618408,
-0.12009669840335846,
-0.3390379846096039,
... |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being tr... | You are likely to grow a beef in a basket . | 2 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
-0.11723750829696655,
0.6193811893463135,
-0.13344651460647583,
0.34560829401016235,
-0.0744200125336647,
-0.3459388017654419,
-0.14453932642936707,
0.7608062028884888,
0.671871542930603,
-0.49774640798568726,
-1.2492234706878662,
-0.32379835844039917,
-0.661959171295166,
0.322437644004821... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Example: Monterey is one of those.
Example solution: מונטריי היא אחת מהם.
Example explanation: The English sentence is correctly translated into Hebrew. The city `Monterey` is correctly translated as `מונטריי`.
Problem: Now... | Solution: עכשיו צריך לחשוב על כך שהבעיה הזו השפיעה על אנשים בחברות ציד, ללא ספק, הם הרגו חיות והם לא ידעו שהם עשו את זה אחרי כמה דורות. | 5 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
-0.013508114032447338,
0.42680424451828003,
0.23137347400188446,
-0.43578362464904785,
-0.38201016187667847,
-0.6362869739532471,
0.40105289220809937,
0.34299296140670776,
0.777588963508606,
-0.4671924412250519,
-0.4068869352340698,
0.21853336691856384,
-0.9413517713546753,
0.0354489125311... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
One example is below.
Q: My stomach will be upset if i eat that.
A: Do you like pineapple on your pizza?
Rationale: The answer given was regarding something that the person ate and it caused his stomach upset. The... | Do you like salmon? | 9 | NIv2 | task568_circa_question_generation | fs_opt | [
0.3748646676540375,
0.43916669487953186,
-0.12900172173976898,
-0.6753572225570679,
0.10298755764961243,
-0.5127749443054199,
0.6298707723617554,
0.8865693807601929,
-0.1310259997844696,
0.030502475798130035,
0.285506933927536,
0.20443663001060486,
-1.338212490081787,
-0.29409605264663696,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task is about translating a given English language sentence to Spanish.
It's this amazing wonderful feeling and you know it when you get it.
Solution: Es ese sentimiento asombroso e increíble, ... | Es gesto silencioso. | 0 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-0.24136227369308472,
0.36013707518577576,
0.4744914174079895,
-0.20719313621520996,
-0.11381211876869202,
-0.6886764764785767,
0.9584822654724121,
0.8254609107971191,
0.562171459197998,
-0.43908560276031494,
0.12721063196659088,
0.11322781443595886,
-0.23698729276657104,
0.529652535915374... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: Há uma objeção óbvia.
Student: | Jest do tego prosty zarzut. | 6 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.4945872724056244,
0.6540763974189758,
-0.08603935688734055,
-0.5394024848937988,
-0.3865567445755005,
-0.3529807925224304,
0.6885085105895996,
0.07718899846076965,
0.8810213208198547,
-0.10712707787752151,
-0.19490255415439606,
-0.4520761966705322,
0.1923786848783493,
-0.457503497600555... |
Teacher:In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? Solve this instance: And these are the children of Dishon; Hemdan, and Eshban, and Ithran, and Cheran.
Student: | اینانند پسران دیشان: عوص و اران. | 6 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
0.2092692255973816,
0.020810773596167564,
-0.2831392288208008,
-0.7978651523590088,
-0.17769677937030792,
-0.0021776212379336357,
0.8920938968658447,
0.43409717082977295,
0.7377313375473022,
-0.019112620502710342,
-0.6735610961914062,
0.9328863024711609,
-0.6738331913948059,
-0.65731084346... |
instruction:
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 ... | run around right and walk left
| 9 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.4965495467185974,
0.792775571346283,
-0.5134336352348328,
0.2878233790397644,
-0.14450430870056152,
0.13259248435497284,
-0.0032110800966620445,
0.7934322357177734,
-0.32172054052352905,
-0.13279461860656738,
-0.7701921463012695,
-0.38555771112442017,
-0.47952115535736084,
0.013258142396... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Adverse drug reactions are appreciably harmful or unpleasant reactions resulting from an intervention related to the use of medical products, which predicts hazard from future administration and warr... | non-adverse drug event | 0 | NIv2 | task1495_adverse_drug_event_classification | fs_opt | [
0.3945111632347107,
0.09003006666898727,
-0.5756720900535583,
-1.0700268745422363,
-0.43051037192344666,
0.24689321219921112,
0.27063044905662537,
0.591269850730896,
0.7488435506820679,
0.4721449017524719,
-0.6055750846862793,
-0.13848888874053955,
0.03802250325679779,
0.20386767387390137,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
One example is below.
Q: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
A: 地球が今よりも無垢だった時代を訪れたかのようでした
Rationale: The Arabic sentence is correctly translated into Japanese, because the meaning is preserved.
Q: منذ بضع سنوات... | 数年前ブリアナは勉強で後れを取り始めました | 9 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
0.34573113918304443,
0.46687352657318115,
-0.3008606433868408,
-0.7501872777938843,
-0.13901814818382263,
-0.47296708822250366,
0.5291854739189148,
-0.4508741497993469,
0.17736265063285828,
-0.011342138051986694,
-0.6353805065155029,
0.26252442598342896,
-0.6482400894165039,
0.460941314697... |
Given the task definition and input, reply with output. This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a sin... | Halimah Yacob | 5 | NIv2 | task1413_dart_object_identification | zs_opt | [
-0.8467168807983398,
0.426419734954834,
0.2433367669582367,
-0.12905895709991455,
-0.24929994344711304,
0.13259826600551605,
0.7499111890792847,
-0.10829198360443115,
0.42074263095855713,
-0.06990661472082138,
-0.6654872298240662,
0.12130961567163467,
-0.3084447979927063,
0.471092462539672... |
Given a part of privacy policy text, classify it into one of these categories:
(1) First Party Collection/Use (how and why a service provider collects user information),
(2) Third Party Sharing/Collection (how user information may be shared with or collected by third parties),
(3) User Choice/Control (choices and... | Policy Change
| 3 | NIv2 | task682_online_privacy_policy_text_classification | fs_opt | [
-0.5101377964019775,
-0.22685199975967407,
-0.38138097524642944,
0.4886735677719116,
0.1260448396205902,
-0.8561719655990601,
0.0186164528131485,
0.9645305275917053,
0.10950833559036255,
0.49975937604904175,
0.18420961499214172,
0.14507800340652466,
-0.28647923469543457,
-0.812300980091095... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Beatrix Borchard (born... | The focus of her publications is life and work of female and male musicians, such as Clara and Robert Schumann, Amalie and Joseph Joachim, Pauline ViardotGarcia, Adriana Hölszky. | 6 | NIv2 | task192_hotpotqa_sentence_generation | zs_opt | [
-0.058755211532115936,
0.5907712578773499,
-0.7530979514122009,
-0.12728136777877808,
-0.049462780356407166,
-0.1843738555908203,
1.1317098140716553,
0.2236061692237854,
0.5907639265060425,
0.5781530141830444,
0.12722176313400269,
0.7690687775611877,
-0.7770328521728516,
-0.784933149814605... |
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
[EX Q]: Torfason氏は、ヨハンナ氏では経済危機は救済できず政府の出費はより増えると危惧しているため、ヨハンナ氏の任命を批判している。
[EX A]: Jóhanna จะเข้ามาแทนนายกรัฐมนตรีคนปัจจุบัน Geir Haarde ซึ่งลาออกจากต... | ผู้วิจารณ์ได้ตั้งข้อสังเกตว่า Obama มักจะทำได้ดีในรัฐที่มีการประชุมภายในพรรค
| 6 | NIv2 | task1127_alt_ja_th_translation | fs_opt | [
-0.12530528008937836,
-0.3565601110458374,
-0.5992419719696045,
-0.24440479278564453,
0.39345186948776245,
-0.4648141860961914,
0.5974422097206116,
0.6907669305801392,
-0.17123550176620483,
-0.019608935341238976,
-0.3364099860191345,
0.8021687269210815,
-0.779990017414093,
0.39014998078346... |
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 will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task... | WP JJ NN VBZ VBN IN DT NN IN DT NN IN WDT NNP NNP VBD NNP NNP IN CD . | 0 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
0.6088113784790039,
0.10905393958091736,
-0.7483409643173218,
0.6257123947143555,
0.30241259932518005,
-0.7232433557510376,
0.8856843709945679,
0.626571774482727,
-0.497099906206131,
0.07701864838600159,
-0.12478217482566833,
0.07941435277462006,
-0.013235656544566154,
-0.00033459393307566... |
Part 1. Definition
Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
Part 2. Example
In a letter posted on the White House web site Tuesday John Brennan assis... | The Latest: Dem accuses White House of 'gag order' on Bannon | 7 | NIv2 | task418_persent_title_generation | fs_opt | [
0.3938540816307068,
0.3111862540245056,
-0.4974953532218933,
-0.008373551070690155,
0.43196022510528564,
0.07085518538951874,
0.6114293336868286,
0.3346875309944153,
0.032380178570747375,
0.5886070728302002,
0.5424371957778931,
1.0201990604400635,
-0.8252964019775391,
-0.06687961518764496,... |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
One example is below.
Q: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is ... | positive | 9 | NIv2 | task284_imdb_classification | fs_opt | [
-0.22102001309394836,
0.3651217222213745,
-0.5435575246810913,
0.43246495723724365,
0.1006043553352356,
-0.38165736198425293,
0.17454154789447784,
0.652812123298645,
0.19606953859329224,
0.21550050377845764,
-0.5898405313491821,
-0.3645631968975067,
-0.4220716655254364,
-0.2235529720783233... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Na Światowym Forum Ekonomicznym zauważono, że zmniejszenie różnić między kobietami a mężczyznami wiąże się ściśle ze wzrostem konkurencyjności ekonomicznej. | 世界経済フォーラムの発表では性差指数と経済競争力は正比例の関係にあるそうです | 0 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-1.1096012592315674,
0.18795768916606903,
-0.3572414517402649,
-0.28339603543281555,
-0.2615363299846649,
-0.1257423460483551,
0.7167419791221619,
0.27052009105682373,
0.6718995571136475,
-0.3884595036506653,
-0.5634080171585083,
0.24092286825180054,
-0.9914290308952332,
0.4865125417709350... |
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.
Q: Sentence1: John was diagnosed with bone cancer. Sentence2: He was sad and felt defeated. Sentence3: But,... | Gina told her dad how unsafe it was for her niece.
****
| 4 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt | [
0.3009815216064453,
0.31128814816474915,
-0.24849390983581543,
-0.6949048638343811,
0.3694278597831726,
-0.3362237215042114,
0.9040446281433105,
1.0507125854492188,
0.17528891563415527,
-0.41272446513175964,
-0.26626136898994446,
0.8600438833236694,
0.05346956104040146,
-0.3695744872093200... |
Teacher: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.
Tea... | Funny | 6 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.0317496731877327,
0.40288931131362915,
0.515807032585144,
-0.5312600135803223,
-0.5078666806221008,
-0.14471164345741272,
-0.06854920089244843,
1.3521769046783447,
0.16980388760566711,
0.16257339715957642,
-0.7677439451217651,
-0.02948741242289543,
-0.7010979652404785,
-0.111323013901710... |
You will be given a definition of a task first, then some input of the task.
Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Verify if the sentiment of the ... | no | 1 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-1.0259804725646973,
-0.3110687732696533,
0.42309266328811646,
-0.311405748128891,
0.25856703519821167,
-1.0049898624420166,
0.3184230625629425,
0.158652663230896,
0.025694187730550766,
-0.20618002116680145,
-0.0007104864344000816,
-0.28385162353515625,
0.08097153902053833,
-0.307732999324... |
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: 6, ['7151', 'S', '4193', '6261', 'H', '4623', '1455', 't', '1421', 'e', '4227', '4719', 'g', 'V', 'Z', 't', '... | A, 499, E, 783, P, 7067, 2465, 9991, Y, k, 2995, J
****
| 4 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
-0.006348553579300642,
0.27065756916999817,
-0.14710453152656555,
-0.21076250076293945,
-0.6131770610809326,
-0.843817949295044,
0.8737558126449585,
0.25528985261917114,
-0.5137207508087158,
0.07662682235240936,
-0.5714806318283081,
0.08959158509969711,
-0.11900149285793304,
0.118225812911... |
instruction:
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
question:
[46, 54, -69, 62, 92]
answer:
[46, 62, 92]
question... | [79]
| 9 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
-0.12680357694625854,
0.04933035373687744,
-0.5757248401641846,
-0.6326541900634766,
0.3337754011154175,
0.47333982586860657,
1.1038726568222046,
-0.07783378660678864,
-0.5783930420875549,
0.07584293931722641,
-0.6036144495010376,
0.07237089425325394,
-0.07527899742126465,
-0.4982791543006... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely g... | 5 | 1 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
-0.2253381311893463,
-0.3504064083099365,
0.5018556714057922,
0.04894573986530304,
0.5341845750808716,
-0.015479118563234806,
0.8228592872619629,
0.8968313932418823,
-0.673633337020874,
0.4454002380371094,
-0.10189555585384369,
-0.5304344296455383,
-0.6492878198623657,
0.09205465018749237,... |
Given the task definition and input, reply with output. In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
1/4 c. Extra virgin olive oil, 1 lrg Onion, thinly sliced, 3 c. Raw Long-grain Rice, 3 c. Chicken St... | Extra virgin olive oil, Onion, Rice, Chicken, Water, Tomatoes, Salt | 5 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
-0.30457523465156555,
0.4304632544517517,
0.15264511108398438,
0.5942850112915039,
-0.13687783479690552,
-0.643622875213623,
1.0270044803619385,
0.7161530256271362,
-0.0003924034535884857,
-0.3878311514854431,
0.022862713783979416,
-0.30107396841049194,
-0.9177435636520386,
-0.093916505575... |
Detailed Instructions: Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable ... | Mensen schreeuwen door hun neuzen. | 4 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.46103227138519287,
0.8764740228652954,
-0.23276275396347046,
-0.2722691297531128,
-0.13833412528038025,
-0.6680295467376709,
0.4926750659942627,
0.5000382661819458,
0.21085844933986664,
-0.2888740301132202,
-0.4665369987487793,
0.5095574855804443,
-0.7073287963867188,
0.4582390189170837... |
In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
--------
Question: [2, 2, 3, 7, 2, 5]
Answer: [3, 7, 5]
Question: [5, 5, ... | [0]
| 7 | NIv2 | task097_conala_remove_duplicates | fs_opt | [
-0.11054150015115738,
0.41256213188171387,
-0.1699979305267334,
-0.17340004444122314,
0.28010958433151245,
-0.36127275228500366,
1.1135039329528809,
0.1754210889339447,
-0.46145397424697876,
-0.23180028796195984,
-1.104963779449463,
-0.1503603160381317,
-0.3692299723625183,
0.0516202151775... |
instruction:
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
question:
Entonces el micelio se saturó de petróleo y cuando volvimos seis semanas después se habían eliminado todos los desechos, el resto de las pilas estaban muertas, oscuras, olían mal.
answer:
So, the myce... | Just do it 10 times; you will realize the pain in this shoulder.
| 9 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.011182408779859543,
0.6873294115066528,
0.2119137942790985,
-0.5260473489761353,
-0.41628336906433105,
-1.724919319152832,
0.011459563858807087,
0.9426603317260742,
-0.4079272747039795,
0.051459070295095444,
-0.05915961042046547,
0.11172423511743546,
-0.2721383273601532,
0.1505716890096... |
Q: In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statements that de... | round_eq { sum { filter_eq { all_rows ; television ; espn2 } ; attendance } ; 44912 } | 7 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.27225834131240845,
-0.01680883765220642,
-0.26712167263031006,
0.23079803586006165,
0.21662071347236633,
-0.5579182505607605,
0.5349100828170776,
0.1540982723236084,
0.23721849918365479,
0.01939992792904377,
-0.30563682317733765,
0.27748769521713257,
-0.4314064681529999,
0.41501447558403... |
Given the task definition and input, reply with output. In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the... | D | 5 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
-0.10685821622610092,
0.5823217630386353,
-0.020253486931324005,
0.3030894696712494,
0.3854939341545105,
0.3617265820503235,
-0.027798261493444443,
0.47153007984161377,
0.1887354850769043,
-0.0020287446677684784,
-1.1200659275054932,
-0.16727283596992493,
-0.056495945900678635,
-0.09376136... |
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
[EX Q]: Rep. Eric Swalwell Eric Michael SwalwellDem generation gap widens Dem lawmaker slams Fox News: 'We’re battling misinformation' Rosenstein unaware of ‘disqualifying’ conflict of interest ... | A smartphone app currently in the works will offer a view of the New York City skyline as it once was. The app will tell you how to aim your phone toward Ground Zero; it then superimposes an image of the Twin Towers of the World Trade Center as they looked before the 9/11 attacks, FastCoDesign reports. Once you have yo... | 6 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.07211364060640335,
0.08776204288005829,
-0.2979627549648285,
-0.025487132370471954,
0.5391944646835327,
-0.18305639922618866,
0.5332542657852173,
1.195683240890503,
-0.2180856168270111,
0.4044506251811981,
0.034194331616163254,
0.5914550423622131,
-0.49145615100860596,
0.1399946510791778... |
Instructions: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Input: zppppppzzzpz
Output: | zppppppz | 3 | NIv2 | task850_synthetic_longest_palindrome | zs_opt | [
-0.29268404841423035,
1.0510605573654175,
0.02073976770043373,
-0.2845832109451294,
-0.38176000118255615,
0.15298554301261902,
1.3857803344726562,
-0.7728012800216675,
-0.41505658626556396,
-0.36207398772239685,
-0.6504852175712585,
0.242485910654068,
-0.5399022698402405,
0.094216391444206... |
Detailed Instructions: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect to... | An example is the uncontrolled cutting of trees for fuel. | 4 | NIv2 | task037_qasc_generate_related_fact | fs_opt | [
-0.10868009179830551,
0.6144686937332153,
-0.8348374366760254,
-0.03790232911705971,
-0.5587495565414429,
-0.9859682321548462,
-0.3714376986026764,
1.2879953384399414,
-0.5626895427703857,
0.2189246416091919,
-1.3790221214294434,
0.6460167169570923,
-0.2626548707485199,
0.16254067420959473... |
Given the task definition and input, reply with output. In this task, you will be presented with a question having multiple possible answers in Swahili language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Je! Wakala wa mali isiyohamish... | B | 5 | NIv2 | task1144_xcsr_sw_commonsense_mc_classification | zs_opt | [
-0.6701796650886536,
1.468578577041626,
0.3048093914985657,
-0.156254380941391,
-0.6749776601791382,
-0.5131502151489258,
1.2337849140167236,
0.41239267587661743,
0.14955708384513855,
-0.584827721118927,
-0.21364717185497284,
0.4721382260322571,
-0.6309651732444763,
-0.5165148973464966,
... |
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Q: Sen. Marco Rubio says the Cuban government used celebrity couple Jay-Z and Beyoncé’s recent trip to the country for “propaganda purposes,” and the Florida Republican wants answers from the Wh... | The nuclear deal between Iran and Western powers is still only a "framework," but Vladimir Putin has decided to lift a ban on missile sales to Tehran—and make it a lot harder for the US to strike Iran if the deal goes bad. The Russian leader has approved the sale of an S-300 surface-to-air missile defense system to Ira... | 4 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.5882330536842346,
0.23371410369873047,
-0.6334372758865356,
0.07293564826250076,
0.7534282207489014,
0.03235270082950592,
0.6681130528450012,
0.9055907726287842,
-0.8095497488975525,
0.4019734859466553,
0.07462942600250244,
0.7844193577766418,
0.1638687700033188,
0.021513279527425766,
... |
Given the task definition and input, reply with output. "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..."). Given a prompt and two responses, identi... | Response 2 | 5 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
-0.17933431267738342,
0.8268527388572693,
0.7501758337020874,
0.20233620703220367,
0.2070392668247223,
-0.4351344704627991,
0.19605806469917297,
0.4445146322250366,
0.12357147783041,
-0.5358697175979614,
-0.7878711819648743,
-0.014672137796878815,
-0.4910176396369934,
0.39125949144363403,
... |
Q: 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'.
Title: Hair cut. Sent... | 52431 | 7 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
-0.07662637531757355,
0.8573892116546631,
0.20724067091941833,
-0.6826202869415283,
-0.2666277289390564,
-0.2651389241218567,
0.5501766204833984,
0.6429523229598999,
-0.0046936022117733955,
0.008204438723623753,
-0.6960216760635376,
-0.7458377480506897,
-0.8006070256233215,
0.0953314453363... |
Definition: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the su... | The tanned worker is repairing the concrete. | 2 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | zs_opt | [
-0.743294358253479,
0.5711194276809692,
0.38173186779022217,
-0.9269157648086548,
0.19164055585861206,
-0.0644751638174057,
-0.33271467685699463,
0.7396379113197327,
0.40933555364608765,
-0.4193035364151001,
-1.276852011680603,
-0.30339404940605164,
-0.8000245094299316,
0.05318215861916542... |
In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False"
Q: Review: If you're skeptical because of the price, don't be this thing is awesome. Burned through 8 boards at half inch reall... | False
****
| 4 | NIv2 | task1313_amazonreview_polarity_classification | fs_opt | [
-0.5565276145935059,
-0.15365469455718994,
0.2804725170135498,
0.2238520085811615,
0.009270943701267242,
-0.9637725949287415,
0.8391519784927368,
0.3135422170162201,
0.13241848349571228,
0.24455159902572632,
-0.3743970990180969,
0.1382332444190979,
-0.36930370330810547,
-0.2737343907356262... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Example input: Egypt (similar results in Jordan)
Example output: مصر (با نتایجی مشابه در اردن)
Example explanation: This is a good example. The above sentence is correctly translated from English to Persian.
Q: Bahraini M... | محمود ال یوسف در مورد مایا دختر بحرینی مینویسد که در هند ازدواج کرده و به دین هندویسم روی آورده است. دولت بحرین به این دلیل گذرنامه وی را توقیف کرده است | 3 | NIv2 | task663_global_voices_en_fa_translation | fs_opt | [
-0.39335301518440247,
0.3629497289657593,
-0.41633152961730957,
-0.6393724679946899,
-0.9304533004760742,
0.19215813279151917,
0.6239631175994873,
0.5745741128921509,
0.5140231847763062,
0.05765063688158989,
-0.8213305473327637,
0.7004355788230896,
-0.5033361911773682,
0.08088797330856323,... |
Detailed Instructions: The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited... | I ljudi s poteškoćama su visoko obrazovani. | 9 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.16419051587581635,
0.8607473373413086,
-0.02339438535273075,
0.009162764996290207,
0.15382447838783264,
-0.8795542120933533,
0.6374111771583557,
0.052554383873939514,
0.0900430828332901,
-0.2529105544090271,
-0.10062219202518463,
0.2714613676071167,
-0.405709445476532,
0.266472220420837... |
You are given a statement written in Assamese. 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 .
Statement: মহাভাৰত আৰু ৰামায়ণত এই অঞ্চলক প্ৰাগজ্যোতিষ হিচাপে আখ্যায়িত কৰা হৈছে।(উৎস চাওক) ইৰিত্ৰিয় সাগৰৰ পেৰি... | হিউয়েনচাং | 0 | NIv2 | task944_wiki_cloze_as_multiple_choice_question_answering | zs_opt | [
-0.5294396877288818,
0.8859993815422058,
-0.10191164165735245,
0.06508716940879822,
0.044717125594615936,
-0.16764399409294128,
-0.21914750337600708,
0.5683587193489075,
0.4600209593772888,
0.2780008316040039,
0.4300382137298584,
0.3232725262641907,
-0.09432502090930939,
-0.513888835906982... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | The driver want(s) to stop the car >Motivates> The driver puts the brakes on
| 0 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.15269318222999573,
-0.11630402505397797,
-0.574843168258667,
0.5587488412857056,
0.013387558981776237,
-0.46763932704925537,
1.0028300285339355,
0.8251618146896362,
-0.38128662109375,
-0.10896623134613037,
-0.8409783840179443,
0.6101931929588318,
-0.5619431138038635,
-0.30880075693130493... |
Detailed Instructions: In this task your given a passage in Catalan. you must ask a question in Catalan, that is relevant to the passage. A question that is constructed should be precise and based on factual information from the passage. A constructed question should be: (a) unambiguous (b) be directly answerable from ... | Què va voler dissimular? | 8 | NIv2 | task836_viquiquad_question_generation | zs_opt | [
0.42606452107429504,
1.1688802242279053,
-0.09496696293354034,
0.3622143864631653,
-0.1350555717945099,
-0.46361857652664185,
0.9654330015182495,
0.6340909004211426,
-0.7792377471923828,
0.23457345366477966,
-0.825176477432251,
0.08741870522499084,
-0.2900795042514801,
0.7143898010253906,
... |
instruction:
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
question:
Independentemente da rapidez dos computadores, de quanta informação temos, nunca conseguiremos afastar a parte humana da procura da verdade porque, no final, é uma característica exclusivamente... | 我々は見たものを構築しているのだという紛れもない証拠が多くあります
| 9 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
-0.6455914974212646,
0.5680097341537476,
-0.29028964042663574,
-0.05500118434429169,
-1.0660278797149658,
-0.018407246097922325,
0.7380530834197998,
0.13332980871200562,
0.17004643380641937,
-0.7199752330780029,
-0.483820378780365,
-0.22928571701049805,
-0.3539682626724243,
0.5468951463699... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Our fr... | 1 | 0 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | fs_opt | [
0.3811857998371124,
0.5767772793769836,
-0.22659747302532196,
-0.012463952414691448,
0.8511009812355042,
-0.6135974526405334,
0.5211873650550842,
0.3338756859302521,
0.7054490447044373,
-0.11821235716342926,
-0.4261879324913025,
0.032035090029239655,
0.19070951640605927,
-0.513580322265625... |
Instructions: Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
Input: Elements with magic numbe... | nucleus | 3 | NIv2 | task592_sciq_incorrect_answer_generation | zs_opt | [
0.10995940864086151,
0.9194532632827759,
-0.2866036295890808,
-0.6463807821273804,
-0.38533028960227966,
-1.2157673835754395,
0.34482210874557495,
-0.28676149249076843,
-0.3424319326877594,
-0.2766907215118408,
-0.9938172101974487,
0.15839093923568726,
-0.889096736907959,
-0.37198323011398... |
Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: Para hacerlo, necesitamos enfocarnos en cinco preceptos estratégicos, los cuales tienen algo en común: poner a las personas en primer lugar.
Student: | Para fazer isso, precisamos de nos focar em cinco imperativos estratégicos, todos eles tendo uma coisa em comum: pôr as pessoas em primeiro lugar. | 6 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
0.2414722740650177,
-0.07427877932786942,
0.05670306459069252,
-0.8909962773323059,
-0.37103238701820374,
-1.1255125999450684,
-0.09046299755573273,
1.1001816987991333,
0.5178179740905762,
-0.08108094334602356,
-0.19639655947685242,
-1.044697880744934,
-0.8561604022979736,
-0.4965828657150... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
English: They are objectionable for abortion opponents who consider their use to be... | No | 0 | NIv2 | task437_alt_en_ja_answer_generation | zs_opt | [
-0.4849822223186493,
0.11406747996807098,
0.5313315391540527,
0.4280180335044861,
0.11625223606824875,
-0.6305909156799316,
0.4697706699371338,
0.06345562636852264,
0.25387224555015564,
-0.13514555990695953,
-0.1896001398563385,
0.3212432265281677,
-0.6572515964508057,
0.2600104808807373,
... |
Definition: In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Input: The Switch Orange Tangerine looked very promising. 1... | 1 | 2 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
-0.11313652992248535,
-0.005049386527389288,
-0.35136646032333374,
-0.06186430901288986,
0.5015571117401123,
-0.3410552740097046,
1.1487805843353271,
0.2570716142654419,
-0.17055144906044006,
0.5563918948173523,
0.45283427834510803,
-0.37528568506240845,
-0.6784281730651855,
0.384444415569... |
Teacher: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 t... | No | 6 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.3165111839771271,
0.210007905960083,
0.5046328902244568,
-0.3671761751174927,
-0.6104675531387329,
-0.7902776002883911,
1.183276891708374,
0.44260814785957336,
-0.48047882318496704,
-0.4585382342338562,
-0.33449384570121765,
-0.49477481842041016,
-0.6202560067176819,
0.1121509000658989,
... |
Q: 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.
ਅਸੀਂ 125 ਕਰੋੜ ਭਾਰਤੀਆਂ ਦੇ ਅਸ਼ੀਰਵਾਦ ਸਦਕਾ ਇੱਥੇ ਹਾਂ।
A: | 125 கோடி இந்தியர்களின் வாழ்த்துக்கள் காரணமாகவே நாங்கள் இங்கே வந்திருக்கிறோம். | 7 | NIv2 | task1015_pib_translation_punjabi_tamil | zs_opt | [
0.46021753549575806,
0.5084033012390137,
0.6515868902206421,
0.028530053794384003,
-0.20680728554725647,
-1.506749153137207,
0.28592783212661743,
0.07474304735660553,
0.0007077076006680727,
0.5968418121337891,
-0.6706243753433228,
-0.12861214578151703,
-0.6734804511070251,
0.49034118652343... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
Gob: Oh , now you love the ... | commandments | 0 | NIv2 | task401_numeric_fused_head_reference | zs_opt | [
-0.28306156396865845,
0.6121746301651001,
-0.07430654764175415,
-1.12201988697052,
-0.270688533782959,
-1.1247180700302124,
1.038571834564209,
0.938868522644043,
-0.3655097782611847,
-0.33821332454681396,
-0.9600234031677246,
0.20127663016319275,
-0.8602811694145203,
-0.13285920023918152,
... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the q... | Solution: In what city or town was the French ornithologist who introduced the genus Vanga born in? | 5 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.09612058103084564,
0.7163044214248657,
-0.7043267488479614,
-0.22461144626140594,
0.29381924867630005,
-0.8602426052093506,
0.5749493837356567,
0.4388881027698517,
-0.19764597713947296,
0.21983584761619568,
-0.6022235751152039,
-0.23805084824562073,
-0.6532019972801208,
0.360115826129913... |
In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', c... | 3 | 4 | NIv2 | task201_mnli_neutral_classification | zs_opt | [
-0.4660773277282715,
0.34199559688568115,
-0.09240270406007767,
-0.34393617510795593,
0.11488017439842224,
-0.7343475818634033,
0.19588494300842285,
0.9428842067718506,
-0.3651076853275299,
0.5538811683654785,
-0.31331008672714233,
-0.7731014490127563,
-0.1377502828836441,
-0.3339932858943... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
قُرم... | False | 1 | NIv2 | task396_persianqa_classification | zs_opt | [
0.12504184246063232,
0.6631712913513184,
-0.30772531032562256,
0.4951012134552002,
-0.629518985748291,
0.4064982533454895,
1.101345181465149,
0.756902277469635,
0.24356280267238617,
-0.4476979970932007,
-0.49599123001098633,
0.7088313102722168,
-0.12399221956729889,
0.8681826591491699,
0... |
A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence.
Ex Input:
Shri Naidu said that humans have tinkered with nature through the relentless pursuit of industrial growth, unmindful of environmental consequenc... | आईएआरआई की आधारशिला रखते हुए प्रधानमंत्री ने कहा कि इससे भविष्य में पूरे क्षेत्र में एक सकारात्मक प्रभाव पड़ेगा।
| 1 | NIv2 | task1023_pib_translation_english_hindi | fs_opt | [
-0.7382978200912476,
-0.38291066884994507,
0.09424818307161331,
-0.014642363414168358,
-0.6883833408355713,
-0.26360058784484863,
-0.37970981001853943,
0.7070751190185547,
-0.19195783138275146,
0.14176365733146667,
-0.24213582277297974,
0.2822311520576477,
-0.5049209594726562,
-0.101302035... |
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... | Solution: convicted of | 5 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.6730871200561523,
-0.07129579782485962,
-0.4678307771682739,
0.4381088614463806,
0.5127434730529785,
-0.07517905533313751,
-0.5236801505088806,
0.9567196369171143,
-0.31236255168914795,
0.4319886565208435,
0.18135878443717957,
0.5779293179512024,
-1.0453319549560547,
-0.4289175271987915,... |
Q: Two analogies that relate actions with their consequences are given in the form "A : B. C : ?". The phrase "A : B" relates action A to consequence B. Your task is to replace the question mark (?) with the appropriate consquence of the given action C, following the "A : B" relation. Your answer should be a single ver... | grow | 7 | NIv2 | task1152_bard_analogical_reasoning_causation | zs_opt | [
0.20682871341705322,
0.7998673915863037,
-0.12497204542160034,
0.16274681687355042,
-1.2659881114959717,
-0.2662101686000824,
1.0589385032653809,
0.40813130140304565,
-0.16156744956970215,
-0.4254148602485657,
-0.004431650973856449,
-0.03949156403541565,
-0.25777381658554077,
0.34465950727... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes | 9 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.1800164133310318,
-0.005149315111339092,
0.4340582489967346,
-0.14765813946723938,
-0.6006001234054565,
-1.1317731142044067,
1.2806400060653687,
0.7357065677642822,
-1.0124403238296509,
-0.19387578964233398,
-0.5354129672050476,
-0.5598283410072327,
-0.9677775502204895,
0.225920379161834... |
This task is about translating a given English language sentence to Yoruba language.
Q: We take pride in our dear Russian brothers and sisters ‘because of their endurance and faith in all their persecutions and the hardships that they are suffering.’
A: | À ń fi àwọn arákùnrin àti arábìnrin wa ní Rọ́ṣíà yangàn ‘nítorí ìfaradà àti ìgbàgbọ́ wọn nínú gbogbo inúnibíni àti àwọn ìṣòro tí wọ́n ń dojú kọ.’ | 4 | NIv2 | task1685_menyo20k_translation | zs_opt | [
0.7704728841781616,
0.7641369104385376,
0.09520229697227478,
0.045565053820610046,
-0.07193876802921295,
-0.5036044120788574,
1.0031001567840576,
0.40800929069519043,
1.0495498180389404,
-0.25571632385253906,
-0.1234598457813263,
0.2462400496006012,
-0.8121658563613892,
0.14186690747737885... |
In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
--------
Question: Design, Synthesis, Biological Evaluation, and Docking Studies of (S)-Phenylalanine Derivatives with a 2-Cyanopyrrolidine M... | monoamine oxidase
| 7 | NIv2 | task1482_gene_extraction_chemprot_dataset | fs_opt | [
-0.1581842303276062,
0.7996290922164917,
-0.5081959962844849,
-0.05508112534880638,
-0.4493774175643921,
-0.7025814056396484,
0.18943163752555847,
0.3296901285648346,
0.8472723960876465,
-0.30776089429855347,
-1.2299326658248901,
-0.08713874220848083,
-0.5343355536460876,
-0.43909707665443... |
Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Input: Segundo, porque seria o primeiro e único jornalista a visitar uma CMU.
Output: | دوم به این دلیل که این پذیرش من را تبدیل به اولین و تنها روزنامه نگاری کرد که از CMU بازدید کرده. | 3 | NIv2 | task1282_ted_translation_pt_fa | zs_opt | [
-0.8285315036773682,
0.33848732709884644,
0.24205933511257172,
-0.42246711254119873,
-0.3374093770980835,
0.6099651455879211,
-0.5196458697319031,
0.15490832924842834,
0.6399877071380615,
0.16088765859603882,
-0.2885919511318207,
-0.5226998329162598,
-0.3365364372730255,
-0.346816956996917... |
Given the task definition, example input & output, solve the new input case.
This task is to translate a news commentary given in French language into Russian language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the c... | Этот уход потребителя США является частью (а может и половиной) причин процесса перенастройки мировой экономики. | 1 | NIv2 | task1377_newscomm_translation | fs_opt | [
-0.41644173860549927,
0.7206807136535645,
-0.4856046438217163,
0.2726617455482483,
-0.05609200894832611,
0.5580793619155884,
-0.038897283375263214,
1.3705227375030518,
0.4369197189807892,
-0.36023879051208496,
-0.537375271320343,
-0.40508678555488586,
0.05466875433921814,
-0.22306405007839... |
Definition: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to p... | Protease is the enzyme that digests proteins, amylase digests carbohydrates, and lipase digests fat. | 2 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
0.2969557046890259,
0.45496559143066406,
-0.27042722702026367,
-0.4915387034416199,
-0.5486994385719299,
-0.5536291599273682,
-0.25844913721084595,
0.3617444336414337,
-0.28097671270370483,
-0.3750612735748291,
-1.0419883728027344,
0.6695007085800171,
-0.5833362340927124,
0.079917952418327... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Input: Consider Input: 我々は磁界の中で暮らしているのです
Output: אנחנו חיים בשדה מגנטי.
Input: Consider Input: 判事達は主観で判断していますただ主観的な判断はしばしば誤りにつながります
Output: הם סובייקטיביים, ואנו יודעים מה קורה כשמקבלים החלטות באופן סובייקטיבי, והוא ש... | Output: אבל אני פה להגיד לכם היום שצמיחה כלכלית היתה עמוד השדרה של השינוי בסטנדרטים של החיים של מליוני אנשים מסביב לעולם.
| 2 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.5302017331123352,
0.48370304703712463,
-0.1391320824623108,
-0.07635927200317383,
0.0731859803199768,
-1.5564393997192383,
-0.2510649561882019,
-0.2769787907600403,
0.9074460864067078,
0.02582072839140892,
-0.5700747966766357,
0.5902148485183716,
-1.0088248252868652,
-0.2570137083530426... |
Detailed Instructions: Given a part of privacy policy text, identify the purpose for which the user information is collected/used. The purpose should be given inside the policy text, answer as 'Not Specified' otherwise
Q: An unnamed third party does track on the first party website or app your computer information for ... | Advertising | 9 | NIv2 | task683_online_privacy_policy_text_purpose_answer_generation | zs_opt | [
-0.6512954235076904,
0.24248403310775757,
-0.4152027368545532,
-0.4895097613334656,
-0.9136670827865601,
-1.1073830127716064,
0.19945260882377625,
0.06253194808959961,
-0.1189073771238327,
0.7862178087234497,
0.5793341398239136,
0.019012875854969025,
-0.19900979101657867,
-0.54067254066467... |
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