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 sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Input: Consider Input: כריס: נראה לי, שהנושא הזה יהיה, או לפחות צריך להיות, הדיון הציבורי המעניין ביותר שצריך לעקוב אחריו בשנים הבאות.
Output: 一番興味深い政策論議になりそうですね行動経済学を生み出してくれてありがとう
Input: Consider Input: אנו אוהבים שהטכנ... | Output: 再度言いますが詳細についてはっきりとは分かりません
| 2 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.7468278408050537,
0.24486622214317322,
0.13469010591506958,
0.5187245607376099,
-0.3546712100505829,
-0.6990658044815063,
-0.1652563512325287,
-0.1866299957036972,
0.5662742853164673,
0.24781428277492523,
-0.4083675146102905,
0.5686914920806885,
-0.3599468469619751,
-0.47003263235092163... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
[EX Q]: Vou dar-vos uma pista. É um número grande.
[EX A]: אתן לכם רמז. זה מספר גדול.
[EX Q]: Depois de uma vaga de calor mortal em 1995 ter transformado camiões frigoríficos do famoso festival "" Taste of Chicago ""... | המרפא היה נישואין ואמהות.
| 6 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
-0.0020295283757150173,
0.09943486005067825,
-0.1323479413986206,
0.26579293608665466,
-0.9440227746963501,
-0.980195939540863,
0.5738362073898315,
1.0172958374023438,
-0.15916530787944794,
0.4760182797908783,
-0.2697559595108032,
0.13219307363033295,
-0.9227048754692078,
0.109438151121139... |
Translate the given Spanish text to English
[Q]: Said temporary protection layer resulting from a liquid composition including (meth)acrylate compositions selected from monomers, oligomers, prepolymers or polymers including at least one (meth)acrylate function.
[A]: Esta capa protectora temporal se obtiene a partir de... | La unión puede conectar tubos de fibra de carbono y se puede diseñar con diferentes formas y configuraciones.
| 5 | NIv2 | task840_para_pdt_en_es_translation | fs_opt | [
-0.05353675037622452,
0.9762763977050781,
-0.47456997632980347,
-0.5096336603164673,
-0.21477295458316803,
-1.3618338108062744,
-0.8031224608421326,
1.1718093156814575,
0.010059940628707409,
0.2905087172985077,
0.07931417971849442,
-0.04796067625284195,
-0.22950440645217896,
-0.02308206260... |
instruction:
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
question:
אולי לכמה אזורים של העולם אין, אבל לנו יש מספיק.
answer:
Forse alcune parti del mondo no, ma noi abbiamo abbastanza.
question:
את באמת תוכלי לחיות עם עצמך כל חייך אם לא תעשי הכל בשבילה? "" הכרתי את אי... | Ora, una curva è una curva, un piano è un piano, e i due non si mescolano.
| 9 | NIv2 | task1111_ted_translation_he_it | fs_opt | [
0.529848575592041,
0.7685222625732422,
0.559505045413971,
0.2664085924625397,
-0.41561686992645264,
-0.5894782543182373,
0.45866858959198,
0.13366875052452087,
0.11029095202684402,
-0.3533232510089874,
-0.7096540927886963,
0.41405951976776123,
-0.8114563822746277,
0.6963405609130859,
0.7... |
Definition: Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: "Yan ay isang teribleng bagay na sasabihin pero kailangang maintindihan iyan nuong mga taong nagpapatakbo sa Iran dahil iyan ay... | 「それは口に出すのは恐ろしいことですが、しかし、イランを支配する人々はそのことが、彼らが何かするのをおそらく妨げるということを理解する必要があって、それは、向こうみずで、愚かで、悲劇的です。」 | 2 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-0.08089973032474518,
0.42787304520606995,
0.06947711110115051,
-0.08665795624256134,
-0.1197076290845871,
-0.34470948576927185,
0.7281605005264282,
0.5419131517410278,
0.07953500747680664,
-0.08179894089698792,
-1.4517189264297485,
0.12471644580364227,
-0.8686212301254272,
0.5330716967582... |
instruction:
This task is about translating a given Yoruba language sentence to English.
question:
Jaffar rí i mọ̀ pé ìpèsè oúnjẹ ọ̀fẹ́ kò tó nítorí pé àwọn ìdílé yìí nílò àtìlẹ́yìn láti bẹ̀rẹ̀ oko-òwò kéékèèké.
answer:
Jaffar recognizes that providing free meals is not enough because the families ultimately need suppo... | Director-General of Federal Radio Corporation of Nigeria, Dr. Monsur Liman, who was represented by the Director National Broadcast Academy, NBA, Mr. Abiola Ajbola, stated this during the opening ceremony of the Academy’s Batch B Basic Training at GRA Ikeja, Lagos.
| 9 | NIv2 | task1686_menyo20k_translation | fs_opt | [
-0.23799698054790497,
0.1264328509569168,
-0.13087502121925354,
-0.3093913793563843,
-0.0556098148226738,
-0.9824087023735046,
-0.03574240952730179,
0.39693379402160645,
-0.6601405739784241,
-0.2722626030445099,
-0.20835009217262268,
-0.14340229332447052,
-0.7792050242424011,
0.24364075064... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a 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/C... | User Choice/Control | 0 | NIv2 | task682_online_privacy_policy_text_classification | fs_opt | [
-0.502119243144989,
0.019973894581198692,
-0.6277179718017578,
0.3309725522994995,
0.11489586532115936,
-0.6147271394729614,
0.2898362874984741,
0.9461484551429749,
0.17772376537322998,
0.2654798626899719,
0.2565004527568817,
0.1638857126235962,
-0.22111882269382477,
-0.44777917861938477,
... |
Teacher: 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 _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, p... | OTHER | 2 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
0.15946988761425018,
0.1938299536705017,
-0.35585957765579224,
-0.3278235197067261,
0.15064217150211334,
-0.7594232559204102,
1.0178196430206299,
0.8362575173377991,
-0.24263924360275269,
-0.015247628092765808,
0.12429661303758621,
0.24760451912879944,
-0.27467992901802063,
-0.032878175377... |
Detailed Instructions: Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the i... | She was well behaved in his class. | 9 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.14111697673797607,
0.13359829783439636,
-0.22977563738822937,
-0.30038127303123474,
0.11335919797420502,
-0.6347410678863525,
-0.03700046241283417,
1.0338082313537598,
0.6958149075508118,
-0.5105035305023193,
-0.41147580742836,
-0.3384968042373657,
-0.1891631931066513,
0.3553361296653747... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Example Input: ثم ترك الباقي بالكامل لهم.
Example Output: Y luego dejárselo todo a ellos,
Example Input: الشيء الثاني الذي يجب أخذه بالحسبان هو البنية نفسها.
Example Output: También hay que tener en cuenta la propia estruct... | Tienen que ir a YouTube y buscar "" iPhone Shuffle. "" Este tipo hizo una parodia de uno que es de una pulgada cuadrada, como el iPod Shuffle verdadero.
| 3 | NIv2 | task1232_ted_translation_ar_es | fs_opt | [
-0.31844455003738403,
0.9861042499542236,
-0.24077226221561432,
-0.2820601761341095,
-0.31128329038619995,
0.05191108584403992,
0.8535107374191284,
0.6501480937004089,
-0.038022421300411224,
-0.5380334258079529,
-0.08348788321018219,
0.22348704934120178,
-0.40128153562545776,
0.03912452980... |
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 ... | (B)
| 6 | NIv2 | task268_casehold_legal_answer_generation | fs_opt | [
0.6531286835670471,
0.38183555006980896,
-0.808711588382721,
0.43980515003204346,
0.49246764183044434,
-0.7431808114051819,
0.16056984663009644,
1.2317216396331787,
-0.5081573128700256,
-0.017772715538740158,
-0.41523224115371704,
0.07735125720500946,
-0.26681339740753174,
-0.1566417515277... |
Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
Let me give you an example: concept: Selena Gomez question: what city was selena gomez born in?
The answer to this example can be: New York City
Here is why... | ['Civil rights movement', 'Civil disobedience', 'Nonviolence'] | 8 | NIv2 | task1601_webquestions_answer_generation | fs_opt | [
0.07399298250675201,
0.6346619129180908,
-0.24673323333263397,
0.18939095735549927,
-0.43097928166389465,
-0.6617999076843262,
-0.2036464959383011,
0.026988137513399124,
0.41907721757888794,
0.4432274103164673,
-0.005167816765606403,
0.7651059031486511,
-1.4672636985778809,
0.0144983939826... |
In this task, you need to translate the given English sentence to the French language
What if someone is a new entrant in the fishery and does not yet have the training? | Qu’arrive-t-il au nouvel arrivant dans le secteur des pêches qui ne possède pas la formation nécessaire ? | 0 | NIv2 | task829_giga_fren_translation | zs_opt | [
-0.686185359954834,
0.5100693702697754,
-1.2169954776763916,
-0.39988622069358826,
0.3917139768600464,
-0.12230661511421204,
0.09884484112262726,
0.3114916980266571,
-0.45185768604278564,
0.3492854833602905,
0.11137869954109192,
-1.1875461339950562,
-0.6343719959259033,
-0.2764021754264831... |
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, v... | N | 0 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-0.7153217792510986,
0.3609437942504883,
-0.08069036900997162,
-0.541418194770813,
-0.0708550438284874,
0.8106297254562378,
0.36229437589645386,
0.6459956169128418,
0.2858867049217224,
-0.14768092334270477,
-0.5899721384048462,
-0.14087983965873718,
-0.35510972142219543,
-0.368979722261428... |
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.
What makes a complete orbit around the earth ... | pattern
| 0 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
0.1252194195985794,
1.183624029159546,
-0.5282269716262817,
-0.18744339048862457,
-0.7962566614151001,
-1.2595359086990356,
0.11224207282066345,
-0.15428055822849274,
-0.8651782870292664,
0.44062304496765137,
-0.4945346713066101,
-0.5267809629440308,
-0.17210201919078827,
0.327325761318206... |
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 produce the t... | Beavers build dams.
****
| 4 | NIv2 | task037_qasc_generate_related_fact | fs_opt | [
0.28201520442962646,
0.7226275205612183,
-0.661415159702301,
-0.3850972652435303,
-0.6168680191040039,
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0.08714868128299713,
0.8960596919059753,
-0.17851522564888,
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-1.221566081047058,
0.5632706880569458,
-0.6766481399536133,
-0.11411680281162262,
... |
Definition: Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability... | Een lantaarn wordt gebruikt voor het melden van overstromingen. | 2 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.9006087779998779,
0.25832614302635193,
0.18380004167556763,
-0.2302314043045044,
-0.3687862753868103,
-0.024836009368300438,
0.21893218159675598,
0.43901920318603516,
0.6200019121170044,
-0.4241274297237396,
-1.1241629123687744,
0.793881356716156,
-0.5436200499534607,
0.641780436038971,... |
Definition: Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sente... | Indiana educators disappointed about mental health funding. | 2 | NIv2 | task1368_healthfact_sentence_generation | zs_opt | [
0.4699352979660034,
0.3346230387687683,
0.038157179951667786,
-0.37512391805648804,
0.3622334897518158,
-0.029787780717015266,
0.31715691089630127,
0.8837667107582092,
-0.5349146723747253,
-0.08807328343391418,
0.33570441603660583,
0.9793006181716919,
-0.2150849997997284,
-0.71853256225585... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN | 6 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.13173028826713562,
0.652442216873169,
-0.35602739453315735,
0.014601653441786766,
0.15445876121520996,
0.015209373086690903,
0.40447843074798584,
0.10433109849691391,
-0.23918069899082184,
-0.5044351816177368,
-0.8425140976905823,
-0.27070480585098267,
-0.7307718992233276,
-0.19612304866... |
This task is about translating a given French language sentence to English.
Q: Et il définissent aussi un opérateur de concaténation.
A: | And they would also define a concatenation operator. | 4 | NIv2 | task1690_qed_amara_translation | zs_opt | [
0.15271437168121338,
0.3885132670402527,
-0.2457578182220459,
-0.3842811584472656,
0.11487514525651932,
0.3206722140312195,
-0.17247936129570007,
0.2625681459903717,
0.8812320232391357,
0.42456093430519104,
-0.5770775675773621,
-0.41822656989097595,
0.3090020418167114,
0.1705629527568817,
... |
This task involves asking a question, providing a set of 2 options. You are expected to choose the best answer to the question. The output will be in the form of A or B, corresponding to which option is chosen.
Example input: Question:Who was the man behind The Chipmunks? , Options: [A. David Seville, B. Alvin Sevill... | A | 3 | NIv2 | task1565_triviaqa_classification | fs_opt | [
-0.4375036656856537,
-0.468298077583313,
-0.3700844943523407,
-0.8327165842056274,
-0.2469061017036438,
-0.6453748941421509,
0.2585652768611908,
0.2617751955986023,
0.06996823847293854,
-0.1475192904472351,
-0.24978503584861755,
0.4710029363632202,
0.09014428406953812,
-0.00206152605824172... |
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.
See one example below:
Problem: อิตาลีได้เอาชนะโปรตุเกสด้วยคะแนน31ต่อ5 ในกลุ่มc ของการแข่งขันรักบี้เวิลด์คัพปี2007 ที่สนามปาร์ก... | 他の代表国はイスラエル（マッカビ・ハイファ）、スコットランド（レンジャーズ）、ウクライナ（シャクター・ドネツク）およびオランダ（AZアルクマール）であった。 | 4 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
0.8620915412902832,
0.014063464477658272,
-0.8545855283737183,
0.7462837100028992,
0.16401654481887817,
-0.6468899250030518,
0.08446764945983887,
0.2985254228115082,
0.019998066127300262,
0.09232033789157867,
-0.7748222947120667,
0.8791918754577637,
-0.16734224557876587,
0.6957601308822632... |
Instructions: Construct a question that every answer in the list is correct and reasonable for it.
Input: lick you, bark, jump on you, sniff you
Output: | name something annoying that some dogs do when greeting you. | 3 | NIv2 | task821_protoqa_question_generation | zs_opt | [
-0.3397004008293152,
1.5698466300964355,
-0.22610913217067719,
-0.7302186489105225,
-0.362229585647583,
-0.5045895576477051,
0.0021488789934664965,
-0.5652109980583191,
-0.2051692008972168,
-0.07012142241001129,
0.12864738702774048,
0.6127219200134277,
-1.4706835746765137,
-0.2867567837238... |
Instructions: In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Input: SaysGov. John Kasich ... | economy | 3 | NIv2 | task613_politifact_text_generation | zs_opt | [
0.07600314915180206,
0.8528328537940979,
-0.1372029185295105,
-0.3983042240142822,
-0.251887708902359,
-0.35297656059265137,
0.3311285376548767,
0.6857035160064697,
-0.09860150516033173,
-0.0007172735058702528,
-0.218157097697258,
-0.16213347017765045,
-0.4206806719303131,
0.02717534080147... |
Definition: 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 ... | How much older is Tom Selleck than the the actress who played his love interest on Blue Bloods? | 2 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
0.3058684468269348,
0.9599344730377197,
-0.27411237359046936,
-0.2252756804227829,
0.0886090099811554,
-0.1290890872478485,
0.06556877493858337,
0.6159656643867493,
0.09566326439380646,
-0.15308204293251038,
-0.14166586101055145,
0.3351065218448639,
-0.9559754133224487,
-0.3482294678688049... |
Definition: In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
Input: Bulgarian: Засилване на трансграничното сътрудничество, по-специално в борбата сре... | no | 2 | NIv2 | task273_europarl_classification | zs_opt | [
-1.0121204853057861,
0.4448799788951874,
0.20538422465324402,
0.16158489882946014,
0.09568342566490173,
-0.3440421223640442,
0.6210675239562988,
1.060613989830017,
0.6206214427947998,
0.12934772670269012,
-0.5965300798416138,
0.6582750678062439,
-0.5857547521591187,
0.3981707692146301,
0... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Q: Yes, there military budget... | assistant | 4 | NIv2 | task577_curiosity_dialogs_classification | zs_opt | [
-0.3537099361419678,
0.45913153886795044,
-0.4671137034893036,
-0.6361420154571533,
-0.4295922815799713,
0.4373161792755127,
1.3221651315689087,
-0.06921369582414627,
0.9760991930961609,
-0.31945326924324036,
-0.21641498804092407,
-0.47807297110557556,
-0.39559483528137207,
-0.068859815597... |
In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Q: A young Peter Parker discovers his father Richard Parker's study has been burgled. Gathering up hidden documents, P... | Answer: mouse | 4 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.4316464364528656,
0.8401784896850586,
-0.3180190324783325,
-0.3000065088272095,
0.31462934613227844,
-0.006025884300470352,
0.6204288005828857,
0.5771454572677612,
0.31526780128479004,
0.18723946809768677,
0.06478379666805267,
0.575954020023346,
-0.7526230812072754,
0.005892021115869284,... |
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer ... | date | 3 | NIv2 | task027_drop_answer_type_generation | fs_opt | [
0.78175950050354,
0.5506001710891724,
-0.3034984767436981,
-0.5650886297225952,
0.38684988021850586,
-0.5710391998291016,
0.8893479704856873,
0.2888004183769226,
0.38194340467453003,
-0.13843365013599396,
-0.5045746564865112,
0.5715693831443787,
-0.9202621579170227,
-0.08429019153118134,
... |
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Example Input: My girlfr... | potty training my child
| 3 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.32407277822494507,
0.1767157018184662,
-0.4339085817337036,
-0.5158258676528931,
0.4739542007446289,
-0.4396597146987915,
0.6490886211395264,
0.7354729771614075,
-0.49356740713119507,
-0.03649552911520004,
0.16522151231765747,
0.42133501172065735,
-0.7818421125411987,
-0.0765553116798400... |
Given the task definition, example input & output, solve the new input case.
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... | Yes | 1 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.05964837223291397,
-0.12170998752117157,
0.3127319812774658,
0.3366478681564331,
-0.11600290238857269,
-1.1036546230316162,
0.958655834197998,
0.9007817506790161,
-0.33547335863113403,
-0.11988410353660583,
-0.312681645154953,
-0.11269425600767136,
-0.7321484088897705,
0.2275908142328262... |
Teacher: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects... | No | 2 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt | [
-0.4800124764442444,
0.2802696228027344,
-0.295314222574234,
0.04906335473060608,
0.3000231385231018,
-0.2453550100326538,
-0.252103716135025,
1.4628899097442627,
0.02290610782802105,
-0.251067578792572,
0.10957054793834686,
-0.1656210720539093,
-0.49582332372665405,
-0.6203456521034241,
... |
Q: 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.
Hi bro na tik tok use panuratha
A: | Hope Speech | 7 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
-0.8695151209831238,
-0.25251486897468567,
0.5881237387657166,
0.6573250889778137,
-0.006727553904056549,
-0.9434669017791748,
-0.34446409344673157,
0.8944715261459351,
-0.4071505665779114,
0.7212094068527222,
0.007981626316905022,
0.042897842824459076,
-0.16223540902137756,
-0.60074645280... |
Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Pochi pasti liofilizzati, più che altro ho mangiato cibi non trattati.
A: | Comidas liofilizadas, pero en su mayoría intento comer alimentos menos procesados. | 7 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-0.5630369186401367,
0.9893821477890015,
-0.3861331343650818,
-0.18434634804725647,
-0.7157532572746277,
-0.3476209044456482,
-0.449648380279541,
1.7779607772827148,
-0.5445220470428467,
-0.2789576053619385,
0.17341208457946777,
-0.36528950929641724,
-0.7903434038162231,
0.4869899153709411... |
A text is given in Oriya. Translate it from the Oriya language to the Tamil language. The translation must not omit or add information to the original sentence.
ଜାମ୍ମୁ-କାଶ୍ମୀରର ବିଦ୍ୟାଳୟମାନଙ୍କର ନବମରୁ ଦ୍ୱାଦଶ ଶ୍ରେଣୀ ପର୍ଯ୍ୟନ୍ତ 500 ବିଦ୍ୟାର୍ଥୀ 50 ମାର୍ଗଦର୍ଶକଙ୍କ ସହ 2018 ଜାନୁଆରୀ 18 ତାରିଖରେ ଦିଲ୍ଲୀରେ ପହଂଚିଥିଲେ । ଏମାନଙ୍କ ମଧ୍ୟରେ 3... | மத்திய உள்துறை அமைச்சரை சந்தித்து பேசிய பின்னர், அனைத்து குழந்தைகளும் அமிர்தசரஸ் அழைத்து செல்லப்பட்டனர். அங்கு அட்டாரி எல்லையில் தேசியக் கொடிக்கு மரியாதை செலுத்தும் நிகழ்ச்சியை பார்வையிட்டதுடன், அமிர்தசரசில் உள்ள பல்வேறு வரலாற்று சிறப்புமிக்க இடங்களை கண்டுக்களித்தனர். | 0 | NIv2 | task1073_pib_translation_oriya_tamil | zs_opt | [
-0.004651277791708708,
0.17268390953540802,
-0.3256646990776062,
-0.4520236849784851,
-0.37927746772766113,
-0.7467633485794067,
-0.01616307720541954,
0.26970523595809937,
-0.38530492782592773,
0.3878362774848938,
0.6626995205879211,
0.14076876640319824,
-0.702415406703949,
0.1744590699672... |
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".
Q: English: According to media reports, John McCain has won the New Hampshire Prima... | Yes
****
| 4 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
0.20096299052238464,
-0.9831264019012451,
-0.2531745135784149,
0.6329473257064819,
0.14101774990558624,
-0.6187344193458557,
1.0077892541885376,
0.5162262916564941,
-0.23141753673553467,
-0.06733787804841995,
-0.11631616950035095,
0.743938148021698,
-0.7560524344444275,
-0.3614025712013244... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 9 | NIv2 | task1205_atomic_classification_isafter | fs_opt | [
0.2616165280342102,
0.19218522310256958,
0.3451595902442932,
0.06018516421318054,
-0.5524181723594666,
-0.6523862481117249,
1.196766972541809,
0.4258349537849426,
-0.5179457664489746,
-0.18422913551330566,
-0.5793017745018005,
-0.545619547367096,
-0.6357463002204895,
0.37101536989212036,
... |
In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
" For your losses. " | Plural | 0 | NIv2 | task431_senteval_object_count | zs_opt | [
-1.4449682235717773,
1.1316883563995361,
0.13046962022781372,
-0.09062498807907104,
-0.4545688033103943,
-0.24789515137672424,
0.8068683743476868,
0.0027939355932176113,
-0.10102604329586029,
-0.5891546010971069,
-0.27205681800842285,
0.4558163583278656,
-0.48541080951690674,
0.05685376375... |
Given a paragraph about cooking, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`.
One example is below.
Q: CONTEXT: Milk ... | How much salt should I add to make the saltwater brine? | 9 | NIv2 | task1437_doqa_cooking_question_generation | fs_opt | [
0.24844059348106384,
0.6596977114677429,
-0.38990676403045654,
-0.14697915315628052,
0.3387666344642639,
-0.7205847501754761,
0.36705920100212097,
0.8188831806182861,
-0.48146742582321167,
0.02077961154282093,
0.1621798723936081,
0.1411302387714386,
-1.2878758907318115,
0.7227848172187805,... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[Q]: Tweet: 4th RT @MayaAngelouFRO: Beat my pussy up like i snitched on you and you had t... | true
| 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-0.8510047197341919,
0.44557812809944153,
0.48634546995162964,
0.3431229591369629,
-0.049202434718608856,
-0.9523513317108154,
-0.15487965941429138,
0.9062629342079163,
0.8012397289276123,
0.3879331946372986,
0.029112912714481354,
-0.5239385366439819,
-0.5100110769271851,
-0.75827610492706... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Q: Sentence:... | Identifiable
****
| 4 | NIv2 | task351_winomt_classification_gender_identifiability_anti | fs_opt | [
-1.0000914335250854,
0.6642047762870789,
-0.09401749819517136,
-0.5531356930732727,
0.2571938633918762,
-0.5425176024436951,
-0.44615864753723145,
1.1422550678253174,
0.5526240468025208,
0.2436659038066864,
-0.6661472320556641,
0.0588223859667778,
-0.10572147369384766,
-0.2971780300140381,... |
Detailed Instructions: In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
Q: Sentence: Th... | Ceo | 9 | NIv2 | task342_winomt_classification_profession_pro | zs_opt | [
-1.4289216995239258,
1.112241268157959,
-0.1484798938035965,
-1.2263782024383545,
-0.2015453726053238,
-0.34340715408325195,
-0.1120222732424736,
0.7152526378631592,
0.7687779068946838,
0.5357599258422852,
-0.8576148152351379,
-0.15084028244018555,
-0.9278066158294678,
-0.439667671918869,
... |
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 of the next ith element exceeds the length of the list.
1, 3, ['9213', '8299', '1289', '9235', 'T', '4449', 'c', 'R', '3... | f, o, 8345, M, 7705, w
| 0 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
0.17474834620952606,
-0.17564794421195984,
-0.7379039525985718,
-0.47262853384017944,
-0.753460705280304,
-0.3062475621700287,
0.7289849519729614,
0.15633350610733032,
-0.5333625674247742,
0.30240941047668457,
-0.46771401166915894,
-0.03982623666524887,
0.08100797235965729,
0.3061645627021... |
Teacher:In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Teacher: Now, understand the problem? S... | Answer: 1914 to 11 November 1918 | 6 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
1.0613031387329102,
0.30438411235809326,
0.06543417274951935,
0.04577050730586052,
0.7433321475982666,
-0.5680767893791199,
0.6191905736923218,
1.2372969388961792,
0.31994208693504333,
0.2733950614929199,
-0.039299242198467255,
0.036591529846191406,
-0.6067773103713989,
0.14677207171916962... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
One example: فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية امكانية ربط الفصل مع البيت ليمتد التعليم الى بعد اليوم المدرسي.
Solution is here: A fines del verano estamos... | Fue maravilloso. Me dejó fascinada. | 6 | NIv2 | task1232_ted_translation_ar_es | fs_opt | [
-0.5722219944000244,
0.4610650837421417,
-0.11027582734823227,
-0.6659374237060547,
-0.6597474813461304,
-0.20664243400096893,
1.0324575901031494,
0.6465576887130737,
0.5084843635559082,
-0.10992977768182755,
-0.7194534540176392,
0.028700482100248337,
-0.6206187009811401,
0.037598915398120... |
Given the task definition and input, reply with output. 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.
3, ['7431', '8003', 'i', 'G', 'X', '747', 'E', 'k', '357... | 7431, 8003, i, G, X, 747, E, k, 3573, P, w, N, t, 4437 | 5 | NIv2 | task078_all_elements_except_last_i | zs_opt | [
-0.3070759177207947,
0.4065263569355011,
-0.050638604909181595,
-0.5994694828987122,
-0.23111140727996826,
-0.26173463463783264,
0.23144538700580597,
0.08898331969976425,
-0.38506799936294556,
-0.11706484109163284,
-0.7537148594856262,
-0.1518310159444809,
0.3288443982601166,
-0.2251292765... |
Given a passage, 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 questions that (i) can't be ... | Output: Does intrathecal morphine reduce the visceromotor response to acute uterine cervical distension in an estrogen-independent manner?
| 2 | NIv2 | task847_pubmedqa_question_generation | fs_opt | [
0.8004328012466431,
0.16036593914031982,
-0.852885365486145,
-0.12087783217430115,
0.6734424233436584,
-0.12742920219898224,
0.9323171377182007,
0.7173349857330322,
0.39674970507621765,
0.07349114120006561,
-0.3826637864112854,
0.3639153242111206,
-0.30966347455978394,
0.08760200440883636,... |
Instructions: In this task, you are given inputs i, j, and A, where i and j are integers and A is a list. You need to find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will al... | zi | 3 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | zs_opt | [
0.08360155671834946,
0.5174760818481445,
-0.8045691847801208,
-0.49909907579421997,
-0.10994356870651245,
-0.09072427451610565,
0.7079225182533264,
-0.26134422421455383,
-0.2143467366695404,
0.2712147831916809,
-1.0977156162261963,
-0.195616215467453,
0.3176839351654053,
-0.341516107320785... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Non-obscene | 6 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.29670441150665283,
0.41022658348083496,
0.15747849643230438,
0.6933673620223999,
0.33260005712509155,
-0.9911288022994995,
0.7451640367507935,
0.7845171689987183,
0.2209128439426422,
0.5556389093399048,
-0.11808827519416809,
-0.0440143346786499,
0.2755036950111389,
-1.1155986785888672,
... |
In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes", "No".
Example: Text: Biję się z myślami czy oby 2 gwiazdki to nie za dużo. ... | Solution: No | 5 | NIv2 | task635_allegro_reviews_answer_generation | fs_opt | [
-0.9890040159225464,
0.3639836013317108,
0.08132775127887726,
-0.0568351075053215,
0.01761683076620102,
-0.7991246581077576,
0.888624906539917,
0.760377824306488,
-0.07434932887554169,
0.5677495002746582,
-0.07974379509687424,
0.7335779070854187,
-0.30053165555000305,
0.24355332553386688,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two langu... | English | 1 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
0.020354870706796646,
0.2701657712459564,
0.4777117371559143,
0.3736574947834015,
0.108742356300354,
-0.2914290726184845,
0.5836752653121948,
0.505556583404541,
-0.012951904907822609,
0.004261352121829987,
-0.017304029315710068,
-0.3805190920829773,
0.6249240636825562,
-0.7187744379043579,... |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | Favor
| 0 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
0.37433791160583496,
0.4713384807109833,
-0.147227942943573,
-0.06185775250196457,
0.5035302639007568,
-0.9933794736862183,
0.930733323097229,
0.7907297611236572,
0.4679505228996277,
0.5674985647201538,
-0.11082625389099121,
0.038466691970825195,
-0.23274174332618713,
0.15590240061283112,
... |
Given the task definition, example input & output, solve the new input case.
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Example: I was very surprised at the high quality of the stitching, the sturdiness of the handles and the padding for my laptop. The p... | T2 roller for Samsung CLP-510 | 1 | NIv2 | task1342_amazon_us_reviews_title | fs_opt | [
-0.2861996293067932,
0.06668801605701447,
-0.39940720796585083,
0.19781704246997833,
0.6440058350563049,
0.34083715081214905,
0.4124882221221924,
0.44439563155174255,
0.34408169984817505,
0.7118409276008606,
0.054138753563165665,
0.3069438934326172,
0.24729716777801514,
-0.2327634692192077... |
Definition: In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Input: name[Fitzbillies], eatType[... | Located in the city centre, Fitzbillies is a child-friendly coffee shop with a 5 out of 5 rating. It serves Japanese food in the high price range. | 2 | NIv2 | task957_e2e_nlg_text_generation_generate | zs_opt | [
-0.399329274892807,
-0.01594969630241394,
-0.26739782094955444,
0.06824524700641632,
0.4072731137275696,
-0.18734189867973328,
0.6524595022201538,
-0.2198840081691742,
0.09973695874214172,
-0.3652481436729431,
0.20045755803585052,
-0.31996020674705505,
-0.8141088485717773,
-0.0073247910477... |
Given the task definition and input, reply with output. In this task you are given a premise and two alternatives in Italian. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output s... | 1 | 5 | NIv2 | task1172_xcopa_commonsense_reasoning_it | zs_opt | [
-0.9883943796157837,
0.9375118017196655,
0.0021476442925632,
0.42392653226852417,
-0.34321537613868713,
-0.20282712578773499,
0.264110803604126,
0.8188254833221436,
-0.19099906086921692,
-0.2975265383720398,
-0.6898253560066223,
0.4700975716114044,
-0.0015950058586895466,
0.255406975746154... |
Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences are roughly equivalent, b... | 2
| 3 | NIv2 | task1347_glue_sts-b_similarity_classification | fs_opt | [
-0.6510196924209595,
0.28243279457092285,
0.04547974839806557,
0.1679176390171051,
0.7420400381088257,
-0.42600658535957336,
0.5056228637695312,
1.5146998167037964,
0.3641159236431122,
0.3055523931980133,
-0.6879778504371643,
-0.5634245872497559,
-0.3819688558578491,
-0.3560500144958496,
... |
Teacher: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,... | medical condition | 6 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
0.5043661594390869,
0.35905730724334717,
0.07885616272687912,
-0.720804750919342,
0.3795335590839386,
-0.274661123752594,
-0.47003820538520813,
0.6258690357208252,
-0.2409004420042038,
0.3727538585662842,
-0.4059554934501648,
-0.13563129305839539,
-0.2709086239337921,
-0.34776079654693604,... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Problem:Jest to więc bardzo istotna teoria, główny nurt fizyki.
Solution: | Así que é unha teoría moi atractiva que é realmente a corrente principal en física. | 8 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-0.6064725518226624,
1.0412559509277344,
0.019345156848430634,
-0.4204968512058258,
-0.44717898964881897,
-0.7009827494621277,
0.7240688800811768,
-0.2730245292186737,
-0.32604023814201355,
-0.6662852764129639,
-0.9958540797233582,
-0.23183661699295044,
-0.5575292110443115,
0.5395389795303... |
Instructions: In this task you are expected to fix an SQL query based on feedback. You will be given an SQL statement and an English description with what is wrong about that SQL statement. You must correct the SQL statement based off of the feedback. An SQL query works by selecting data from a table where certain cond... | SELECT count(*) FROM club | 3 | NIv2 | task076_splash_correcting_sql_mistake | zs_opt | [
0.4815393388271332,
0.5253475904464722,
-1.1035065650939941,
0.6283052563667297,
-0.40610945224761963,
-0.3501238226890564,
0.7213414907455444,
0.8320915699005127,
-0.33430272340774536,
0.4334290027618408,
0.5166313648223877,
0.39058732986450195,
-0.12330278009176254,
0.3599977493286133,
... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
[Q]: Matos was competing in the bronze medal match against Arman Chilmanov o... | इससे पहले आज, ऑस्ट्रेलियन इंस्टीट्यूट ऑफ स्पोर्ट एंड स्विमिंग ऑस्ट्रेलिया ने दो ओलंपिक बाध्य वाटर पोलो खिलाड़ियों, मेलिसा रिपन और निकोला ज़ागेम के काली खांसी के निदान किए जाने के बाद इस सप्ताहांत के लिए निर्धारित ऑस्ट्रेलियाई स्टिंगर्स और एक तैराकी ऑस्ट्रेलिया ग्रैंड प्रिक्स कार्यक्रम के लिए एक टीम की बैठक को रद्द कर द... | 5 | NIv2 | task432_alt_en_hi_translation | fs_opt | [
0.3321712613105774,
-0.43220674991607666,
-0.33278265595436096,
0.08779208362102509,
0.16305580735206604,
-0.4111257791519165,
0.07760602235794067,
0.5149960517883301,
0.3754337728023529,
0.04719424247741699,
-0.31660881638526917,
0.7693241834640503,
-0.6648289561271667,
0.3965571224689483... |
Given a scientific question, generate a correct answer to it.
One example is below.
Q: Who proposed the theory of evolution by natural selection?
A: darwin
Rationale: This is a direct fact that Charles Darwin proposed the theory of evolution.
Q: What is the term for a push or a pull on an object?
A: | force | 9 | NIv2 | task591_sciq_answer_generation | fs_opt | [
0.23676371574401855,
0.37720030546188354,
0.06685091555118561,
-0.06065891683101654,
-0.3571624755859375,
-0.6940857172012329,
-0.4589870870113373,
-0.04886186867952347,
0.44452008605003357,
0.037893589586019516,
-0.3959158658981323,
0.05876333639025688,
-0.9956032037734985,
-0.38746458292... |
Q: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the to... | personal | 7 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.7988846302032471,
0.5140204429626465,
-0.19406843185424805,
0.306942880153656,
-0.5049950480461121,
-0.3794199228286743,
1.0036354064941406,
-0.21489101648330688,
-0.35318422317504883,
-0.7034317255020142,
-0.9125564098358154,
0.427092969417572,
-0.5801284313201904,
-0.00508717820048332... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Q: והם הסכימו. הם תרמו קרקע שעליה הקמנו את ביה "" ס לבנות.
A: すると彼らは女の子の学校を建てるための土地をくれました
****
Q: סטודנט אמר לי, "" הקורס הרגיש כמו לשבת בבר עם חבר ממש חכם שמסביר משהו שלא הבנת, אבל אתה בדרך לשם. "" וזה בדיוק מה שכיוונו אל... | （ ジュッサーニ ） この後ステージに登場する人物をヴィンセントが紹介してくれますが彼は以前被写体になった人々のひとりです
****
| 4 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.07967641204595566,
0.4129575490951538,
0.18149298429489136,
-0.4725112318992615,
-0.26364296674728394,
-0.5197980403900146,
0.5432718992233276,
0.085006482899189,
0.6728003621101379,
-0.3168046474456787,
-0.02518116869032383,
0.5579861402511597,
-0.10904884338378906,
0.05239251255989075... |
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.
Problem:आता असा समतोल साधण्याची का आवश्यकता आहे, याचे मी एक उदाहरण इथं देतो.
Solution: | একটি উদাহরণ দিয়ে আমি আপনাদের বোঝাতে চাই, কেন এই ভারসাম্য প্রয়োজন! | 8 | NIv2 | task1062_pib_translation_marathi_bengali | zs_opt | [
0.29564744234085083,
0.5507105588912964,
0.03437294811010361,
-0.02088712714612484,
-0.4729800522327423,
-0.7555866241455078,
1.11820387840271,
0.23075085878372192,
0.03944489359855652,
-0.5241990685462952,
-1.0609627962112427,
-0.2617482542991638,
-1.050363302230835,
0.33395126461982727,
... |
Definition: Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Input: Multiple studies support a role for inflammation in the pathogenesis of coronary at... | 0 | 2 | NIv2 | task848_pubmedqa_classification | zs_opt | [
0.8009645938873291,
0.02649722248315811,
-0.48606300354003906,
0.07186893373727798,
0.2737095057964325,
-0.006007942371070385,
0.14787375926971436,
1.0038713216781616,
0.26250898838043213,
0.4042453467845917,
-0.4374200105667114,
-0.5934668779373169,
-0.7870146036148071,
0.0269010048359632... |
Q: This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Bovendien treft baarmoederhalskanker vrouwen tijdens hu... | Além disso, o câncer cervical ataca mulheres durante seus anos economicamente mais produtivos, quando a sua contribuição para a sociedade e a economia é maior. | 7 | NIv2 | task1375_newscomm_translation | zs_opt | [
-0.2529088258743286,
0.435907244682312,
-0.3724486529827118,
0.21765568852424622,
-0.10244432091712952,
-0.09714612364768982,
-0.5255492925643921,
0.8319752812385559,
0.7083730101585388,
0.005478257313370705,
-1.1536842584609985,
0.7699046730995178,
-0.3533048629760742,
0.17672944068908691... |
You will be given a definition of a task first, then some input 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 warrants prevention or specific treatment, or al... | non-adverse drug event | 1 | NIv2 | task1495_adverse_drug_event_classification | zs_opt | [
0.1144893616437912,
0.027429930865764618,
-0.19181609153747559,
-0.4213748872280121,
-0.19548483192920685,
0.004945328459143639,
0.40825769305229187,
0.9025275707244873,
0.613060712814331,
0.037860576063394547,
-0.8583429455757141,
0.30470287799835205,
-0.4689484238624573,
-0.1994673311710... |
Q: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Ours is a city, not a wilderness preserve. And I've embraced my inner capitalist.
A: | यह हमारा शहर है, यह कोई सुनसान जगह नहीं है। मैंने अपने भीतर के पूंजीपति को गले लगा रखा है। | 7 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
-0.6104232668876648,
0.8850808143615723,
0.045427799224853516,
-0.17265649139881134,
-0.5775780081748962,
-0.9342449307441711,
0.3851338326931,
0.28196102380752563,
0.012705761939287186,
-0.1933392584323883,
-0.8462233543395996,
0.387146919965744,
-1.0880604982376099,
-0.47732049226760864,... |
Detailed Instructions: You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
See one example below:
Problem: Personality: I like spending time with... | I do, I told you I was about to! | 4 | NIv2 | task1730_personachat_choose_next | fs_opt | [
0.07742311805486679,
0.209103524684906,
-0.9411017894744873,
0.2096998691558838,
-0.2342110127210617,
-0.33109110593795776,
0.9690505266189575,
0.05645767226815224,
-0.5270143747329712,
-0.343850314617157,
-0.47036969661712646,
-0.062110647559165955,
-0.010495806112885475,
-0.4625421166419... |
Teacher:In this task, your goal is to judge a correct answer to a given question based on an associated paragraph and decide if it is a good correct answer or not. A good correct answer is one that correctly and completely answers the question. A bad correct answer addresses the question only partially or incorrectly. ... | No. | 6 | NIv2 | task056_multirc_classify_correct_answer | zs_opt | [
0.5776265859603882,
0.25721293687820435,
-0.17402851581573486,
0.06670161336660385,
0.23150143027305603,
-0.2519152760505676,
0.8361301422119141,
0.6290318965911865,
0.06693275272846222,
0.16267898678779602,
-0.6704722046852112,
0.25073036551475525,
-0.8018766045570374,
-0.0671829581260681... |
Q: In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
Sentence1: One day, a dog moved into a family that had two cats. Sentenc... | Yes | 7 | NIv2 | task298_storycloze_correct_end_classification | zs_opt | [
-0.38101863861083984,
0.6931324005126953,
0.29904448986053467,
0.18481037020683289,
0.02223651111125946,
-0.3115371763706207,
0.14588826894760132,
0.7017804384231567,
-0.17318186163902283,
-0.2594226002693176,
-0.30599498748779297,
-0.16615483164787292,
-0.5479824542999268,
-0.042023237794... |
Detailed Instructions: A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Problem:” இதனை யூடியூப்பில் உங்களால் காண முடியும்.
Solution: | ఇది మీకు యూట్యూబ్ లో లభిస్తుంది. | 8 | NIv2 | task1075_pib_translation_tamil_telugu | zs_opt | [
0.5438559055328369,
0.40231168270111084,
-0.08474210649728775,
0.8292489051818848,
-0.026546694338321686,
-0.2306492030620575,
0.6822811365127563,
0.17530424892902374,
-0.29445934295654297,
-0.5161564350128174,
0.06448270380496979,
-0.14926457405090332,
-0.7999858856201172,
0.4435953795909... |
In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
[Q]: Do you eat red meat?
[A]: X wants to know about Y's food preferences.... | X wants to know about Y's food preferences.
| 5 | NIv2 | task567_circa_text_generation | fs_opt | [
-0.6821576952934265,
0.6389410495758057,
-0.21016016602516174,
0.6135449409484863,
-0.11350909620523453,
0.3084031641483307,
0.21038278937339783,
0.6833738088607788,
0.88443523645401,
-0.5168814063072205,
-0.30849382281303406,
-0.5135341882705688,
0.009986380115151405,
0.5004143714904785,
... |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sente... | Output: 3, 4.
| 2 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
0.5797670483589172,
0.6900316476821899,
-0.42153340578079224,
-0.32177838683128357,
0.48511171340942383,
-0.48963046073913574,
0.7257235050201416,
0.6698620319366455,
0.19619134068489075,
0.35993582010269165,
-0.40261155366897583,
0.884536862373352,
-1.1810575723648071,
-0.1956399977207183... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Teacher: Now, understand the problem? Solve this instance: ואמרתי, אתם לא מכירים את המולקולה הזאת היטב, אבל הגוף שלכם מכיר אותה טוב מאוד.
Student: | و می گغنم ، شما این ملکول رو واقعا خوب نمی شناسین. اما بدنتون به خوبی خوب این ملکول رو می شناسه. | 6 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.13151998817920685,
0.568568766117096,
-0.008948897942900658,
-0.3921095132827759,
-0.6621266007423401,
-0.2803153395652771,
0.7348724603652954,
0.11709009855985641,
0.8657809495925903,
-0.5336169004440308,
-0.8047125935554504,
-0.03746198117733002,
-0.9931453466415405,
-0.17677077651023... |
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.
Input: 8696 - 6609 - 9775 + 9753 - 3089 + 8152 + 4079 + 6131 + 5326... | -5272 | 2 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.5087586045265198,
0.00876626931130886,
-0.7117666006088257,
-0.22505614161491394,
-0.4632643461227417,
0.22339078783988953,
0.7983225584030151,
0.5146961808204651,
0.2312774658203125,
-0.23123453557491302,
-0.6643273234367371,
0.10410194844007492,
-0.6018942594528198,
0.3935674726963043... |
Teacher:A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: આ વર્ષે એશિયન ઈન્ફ્રાસ્ટ્રક્ચર ફોરમનો પણ પ્રારંભ થશે, જેમાં ઈન્ફ્રાસ્ટ્રક્ચર ક્ષેત્રના ... | اس سال ، ایشین انفراسٹرکچر فورم کے آغاز کا افتتاح بھی دیکھاجاسکے گا جس میں عملی اور پروجیکٹ پر مبنی انفراسٹرکچر پریکٹیشنرس جمع ہوں گے اور جدید سرمایہ کاری کو اہم بنیادی ڈھانچہ ضروریات کے تال میل پر توجہ مرکوز کرتے ہوئے تبادلہ خیال کیاجائے گا۔ | 6 | NIv2 | task1001_pib_translation_gujarati_urdu | zs_opt | [
-0.33953070640563965,
0.37147626280784607,
0.5217983722686768,
-0.5567753911018372,
-0.18938112258911133,
-0.5077536702156067,
0.24659821391105652,
0.4430581033229828,
-0.10163986682891846,
-0.11351093649864197,
-0.3628385066986084,
-0.13567069172859192,
-0.10531803965568542,
-0.2137396633... |
Detailed Instructions: 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 ev... | Yes | 8 | NIv2 | task1204_atomic_classification_hinderedby | zs_opt | [
0.6801095604896545,
0.4433897137641907,
0.2870367169380188,
-0.18883362412452698,
-0.49856626987457275,
-0.8620790243148804,
1.1540459394454956,
0.2938801944255829,
-0.48057037591934204,
-0.4802054464817047,
-0.5083163976669312,
-0.5501715540885925,
-0.6913837194442749,
0.1453114002943039,... |
Teacher: This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample rea... | By how many votes did Amendment 1 get rejected by the voters? | 2 | NIv2 | task026_drop_question_generation | fs_opt | [
1.0469485521316528,
0.5804867744445801,
0.003230005968362093,
-0.2177790254354477,
0.7739242911338806,
-0.8129653930664062,
0.8642148375511169,
0.6937131881713867,
0.2710040211677551,
-0.0030935993418097496,
-0.27368760108947754,
0.6085454225540161,
-0.9639111161231995,
-0.0064720129594206... |
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Q: (A) refusing to talk to my former high school bullies
(B) cheating on my abusive gf
A: | B | 4 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.06565973162651062,
0.5982890129089355,
0.31898176670074463,
-0.550110936164856,
-0.5125114917755127,
-0.4440491795539856,
0.0162041112780571,
0.24702656269073486,
0.17081302404403687,
0.26562637090682983,
-0.39731287956237793,
-0.18527936935424805,
0.1892685890197754,
-0.911970734596252... |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Q: Ambas cosas no son incompatibles en absoluto.
A: | There is no contradiction between the two. | 4 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
0.20860600471496582,
0.84674072265625,
0.5770667791366577,
-0.21004065871238708,
0.42724788188934326,
-0.43252047896385193,
0.7629044055938721,
0.44425418972969055,
-0.10223573446273804,
-0.12257881462574005,
0.28341054916381836,
-0.43686896562576294,
-1.023043155670166,
0.2101980447769165... |
Detailed Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Problem:@pi6ie I want to achieve to your level of optimism
Solution: | Not happy | 8 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
-1.6733323335647583,
0.39713427424430847,
0.7672346830368042,
-0.29129183292388916,
-0.09244372695684433,
-0.3867751955986023,
0.39041897654533386,
0.09168338775634766,
0.5819621086120605,
0.25140640139579773,
-0.6572319865226746,
0.09419924765825272,
-0.708570122718811,
-0.055520672351121... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put ... | R | 1 | NIv2 | task669_ambigqa_answer_generation | zs_opt | [
-0.3445514440536499,
0.06681080162525177,
-0.3002638518810272,
-0.08778885751962662,
-0.18182602524757385,
-0.4950716197490692,
0.8796409368515015,
-0.0993102490901947,
0.3722071051597595,
0.2918630838394165,
-0.6807323694229126,
0.019693436101078987,
0.2170325219631195,
-0.037542607635259... |
Q: A text is given in Marathi. Translate it from the Marathi language to the Panjabi language. The translation must not omit or add information to the original sentence.
याआधी केंद्रीय गृहमंत्र्यांनी पटेल चौक येथे देशाचे पहिले गृहमंत्री सरदार वल्लभभाई पटेल यांच्या पुतळ्याला पुष्पांजली अर्पण केली.
A: | ਇਸ ਤੋਂ ਪਹਿਲਾਂ ਗ੍ਰਿਹ ਮੰਤਰੀ ਨੇ ਸਰਦਾਰ ਪਟੇਲ ਦੀ 143ਵੀਂ ਜਯੰਤੀ ਦੇ ਮੌਕੇ 'ਤੇ ਪਟੇਲ ਚੌਕ ਸਥਿਤ ਸਰਦਾਰ ਵੱਲਭਭਾਈ ਪਟੇਲ ਦੀ ਪ੍ਰਤਿਮਾ 'ਤੇ ਪੁਸ਼ਪਾਂਜਲੀ ਦਿੱਤੀ। | 7 | NIv2 | task1029_pib_translation_marathi_punjabi | zs_opt | [
-0.16107425093650818,
1.4578183889389038,
-0.1664072573184967,
0.7533880472183228,
-0.25386619567871094,
-0.9118201732635498,
0.8703233003616333,
0.01369478739798069,
-0.12963731586933136,
-0.1746676117181778,
-0.21732451021671295,
0.011396132409572601,
-0.12370092421770096,
0.418329983949... |
Detailed Instructions: In this task, we ask you to write an answer to a question that involves event "frequency", which refers to how often an event is likely to be repeated. For example, "taking showers" typically occurs ~5 times a week, "going to Saturday market" usually happens every few weeks/months, etc. Note that... | every 10 years. | 9 | NIv2 | task016_mctaco_answer_generation_frequency | zs_opt | [
-0.29614368081092834,
0.17210735380649567,
-0.9416705369949341,
-0.44488048553466797,
-0.5756344795227051,
-0.28279542922973633,
0.5330680012702942,
0.0676436498761177,
-0.03374727442860603,
0.34284597635269165,
-0.789871096611023,
0.10884499549865723,
-0.5142141580581665,
0.58451509475708... |
Q: 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".
Density is also an important physical property of matter. The concept of density combines what we know about... | Yes | 7 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
0.4838411808013916,
0.3495943546295166,
0.2887502908706665,
-0.10448296368122101,
-0.16116395592689514,
-1.0483112335205078,
-0.0516243651509285,
0.6240031123161316,
0.1610179841518402,
0.7248250246047974,
-0.3943907916545868,
-0.28318798542022705,
-0.9523571729660034,
-0.148513525724411,
... |
Definition: In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ .
Input:... | Hermann said there were no concrete indications that a terror attack could take place in _ in the coming days. | 2 | NIv2 | task301_record_question_generation | zs_opt | [
0.203857421875,
0.295118510723114,
0.11181201040744781,
-0.29205450415611267,
0.3783241808414459,
-0.0712042972445488,
0.3452773690223694,
0.5426281094551086,
0.6051964163780212,
0.19184133410453796,
-0.5459886193275452,
-0.32020699977874756,
-0.7643083930015564,
0.16545459628105164,
-0.... |
In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
One example: Hello! I would love to learn about Antigua and Barbuda today.
Antigua and Barbuda is an island nation in the Caribbean Sea. The country is part of the British Commonwealth.
That is very inte... | Minnesota | 6 | NIv2 | task578_curiosity_dialogs_answer_generation | fs_opt | [
0.6895063519477844,
0.0860929936170578,
-0.5339969396591187,
-0.6818490028381348,
0.47297799587249756,
-0.6854520440101624,
-0.043338898569345474,
0.977348804473877,
-0.8271414637565613,
0.4610627591609955,
0.0014081820845603943,
0.18475624918937683,
-0.7165429592132568,
0.3247884511947632... |
Detailed Instructions: Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Problem:Although CT scans provide great medical benefits, concerns have been ra... | 1 | 8 | NIv2 | task848_pubmedqa_classification | zs_opt | [
0.5661017298698425,
0.5925841331481934,
-1.3700107336044312,
0.04073525220155716,
0.1514650583267212,
0.3726577162742615,
0.16965696215629578,
0.6210886240005493,
0.25915488600730896,
0.4170982837677002,
-0.010523529723286629,
-0.059826649725437164,
-0.43449974060058594,
0.0463719516992569... |
This task is about translating a given French language sentence to English.
One example: Vous avez fait quelque chose de tellement bien aujourd'hui ! Pourquoi vous m'évitez ?
Solution is here: You did such a great thing today, why are you avoiding me?
Explanation: This is a good example because the French sentence has ... | Something that in many ways, I wish no one would ever know. | 6 | NIv2 | task1690_qed_amara_translation | fs_opt | [
-0.39982402324676514,
1.1077561378479004,
0.3161817193031311,
-0.8125784993171692,
0.08211977034807205,
-0.8924596309661865,
0.33497175574302673,
-0.07076868414878845,
-0.09840831160545349,
-0.24377559125423431,
-0.12273889034986496,
0.3344671130180359,
-1.1920500993728638,
-0.158640846610... |
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
Q: [-73.556, -10.815, -36.656, 53.404, -74.91, 109.867, 82.085, 123.89, 24.639]
A: [-0.372 -0.055 -0.185 0.27 -... | [ 0.066 0.209 0.003 0.416 -0.052 -0.016 0.373]
****
| 4 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.4241768717765808,
0.4294924736022949,
-0.8178275227546692,
-1.4248334169387817,
0.1464669108390808,
0.17985542118549347,
0.42352327704429626,
-0.1400313377380371,
-0.48061859607696533,
-0.10391227155923843,
-0.7967395186424255,
0.42244142293930054,
-0.023931585252285004,
-0.119074076414... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (co... | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_... | 4 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.3073945641517639,
0.045106496661901474,
-0.1040448471903801,
-0.7275278568267822,
0.5332900285720825,
-1.013923168182373,
0.5775368213653564,
0.9696992635726929,
-0.4686685800552368,
0.4459461271762848,
0.3097524046897888,
0.01868852972984314,
-0.6272863745689392,
0.21495836973190308,
... |
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the end sentence choices from (A) and (B), such that the story does not sound complete and coherent, i.e., select an incorrect end sentence.
Example... | Solution: A | 5 | NIv2 | task297_storycloze_incorrect_end_classification | fs_opt | [
0.06172201409935951,
0.4913448691368103,
-0.03239615261554718,
-0.1780167818069458,
-0.042319126427173615,
-0.3235246539115906,
0.2373458445072174,
1.1343979835510254,
-0.23490342497825623,
0.3037571310997009,
-0.4776833653450012,
-0.3311713933944702,
-0.07046808302402496,
-0.3389063179492... |
Detailed Instructions: In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
See one example below:
Problem: hNarAik
Solution: hNrk
Explanation: The three vowels in the input 'a, 'A', and 'i' ... | J | 4 | NIv2 | task365_synthetic_remove_vowels | fs_opt | [
0.7296282649040222,
0.8400511741638184,
-0.3240829110145569,
-0.6515457630157471,
0.34959763288497925,
-0.7249984741210938,
0.6114343404769897,
0.389424204826355,
-0.04902634769678116,
-0.33759164810180664,
-0.38892415165901184,
-0.4693147838115692,
0.04629269242286682,
-0.8449037075042725... |
Detailed Instructions: 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 list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answ... | Alphabets Win | 9 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
-0.11142516136169434,
0.6890557408332825,
-0.4270797669887543,
-0.2834506630897522,
-0.40274977684020996,
-0.7842912673950195,
0.677130401134491,
-0.766565203666687,
-0.06452964246273041,
0.4734921455383301,
-0.7787230610847473,
0.2937602400779724,
-0.26410481333732605,
0.2101229429244995,... |
Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Example Input: Context : Lady Zhen (26 January 183 -- 4 August 221), personal name unknown, was the first wife of Cao Pi, the first ruler of the... | What company is SeaMicro part of?
| 3 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
-0.14523829519748688,
0.2553155720233917,
-1.1189749240875244,
0.1453075110912323,
0.43328940868377686,
-0.014912142418324947,
0.3886219263076782,
0.9793609380722046,
-0.547856330871582,
0.28667598962783813,
-0.4410603642463684,
0.5408370494842529,
-0.819857120513916,
-0.2476179599761963,
... |
Definition: 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.... | No | 2 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
-0.29268163442611694,
-0.07525624334812164,
0.5234290361404419,
-0.3768465518951416,
-0.14027206599712372,
-0.8955444693565369,
0.8379162549972534,
0.4994940757751465,
-0.3934100568294525,
-0.5078397989273071,
0.06751646101474762,
-0.31312480568885803,
-0.29028862714767456,
0.2385666072368... |
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
[Q]: Nymphs are less than ____ millimeters in size.
[A]: two
[Q]: Ospreys mature after ____ years of age.
[A]: two
[Q]: Insects are identified by ... | three
| 5 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-1.0229671001434326,
0.7304528951644897,
-0.04420663043856621,
-0.42823442816734314,
-0.03994240611791611,
-0.687436580657959,
0.8187115788459778,
0.007592028938233852,
-0.318666011095047,
-0.08119949698448181,
0.11917468905448914,
0.5101544857025146,
-0.8122746348381042,
-0.06794852763414... |
Teacher:In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list y... | [-21, 1023, 903, 34155, 39897] | 6 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.5813591480255127,
0.11851726472377777,
-0.25545555353164673,
-0.6043775081634521,
-0.1971346139907837,
-0.02446230873465538,
1.3678181171417236,
0.31312304735183716,
-0.26151978969573975,
-0.2687093913555145,
-0.7988118529319763,
-0.3825311064720154,
-0.4542323052883148,
-0.752358913421... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Passage: After Landau moved to the Kapitza ins... | Answer: Carthage
| 0 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
1.1196227073669434,
0.47703662514686584,
-1.1775217056274414,
-0.2507926821708679,
0.5182333588600159,
-0.08716169744729996,
0.9005557894706726,
0.6725554466247559,
0.29079222679138184,
0.09653735160827637,
-0.5017635822296143,
0.513346254825592,
-0.7243767380714417,
-0.25814172625541687,
... |
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