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 |
|---|---|---|---|---|---|---|
Teacher:You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the same as Hypothes... | entails | 6 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
0.0509536974132061,
0.44272103905677795,
-0.039706334471702576,
-0.10487022250890732,
-0.4182647168636322,
-0.8789043426513672,
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0.3397101163864136,
-0.5874367356300354,
-0.019285742193460464,
0.384542852640152,
-0.5926865339279175,
-0.099065929651260... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
אנחנו לא יודעים בדיוק כמה עבה הוא, קרוב לודאי שעוביו קילומטרים, אז יהיה מאוד יקר ומאוד קשה לרדת — לשלוח למטה את הצוללת או מה שזה לא יהיה — ולחקור.
Ou... | ما نمیدانیم که این چقدر ضخیم است ، شاید ضخامتی برابر مایلها داشته باشد ، رفتن به آنجا و ارسال زیردریایی و یا هر چیز دیگری برای اکتشاف آن بسیار پر هزینه و مشکل است. رفتن به آنجا و ارسال زیردریایی و یا هر چیز دیگری برای اکتشاف آن بسیار پر هزینه و مشکل است. | 1 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.9377274513244629,
0.17157410085201263,
0.10651473701000214,
-0.29301971197128296,
-0.025022340938448906,
0.635920524597168,
0.8075392246246338,
-0.327859103679657,
0.6562724113464355,
-0.2541007101535797,
-0.9217448234558105,
-0.05911540985107422,
-0.6908832788467407,
0.1606722325086593... |
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Input: Consider Input: Authorizes the Secretary of the military department concerned to pay monthly trans... | Output: To revise the boundary of the Black Canyon of the Gunnison National Park and Gunnison Gorge National Conservation Area in the State of Colorado, and for other purposes.
| 2 | NIv2 | task1659_title_generation | fs_opt | [
-0.13133563101291656,
0.11196551471948624,
-0.808967649936676,
0.2842901647090912,
0.3194206953048706,
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0.9453786015510559,
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-0.12375583499670029,
0.25126510858535767,
-0.6238987445831299,
0.1310397833585739,
... |
Instructions: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pi... | a | 3 | NIv2 | task213_rocstories_correct_ending_classification | zs_opt | [
0.10550926625728607,
0.7140127420425415,
0.1315876692533493,
-0.010621635243296623,
-0.018719837069511414,
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0.5092921257019043,
0.4736640155315399,
-0.03108302131295204,
0.25411397218704224,
-0.4483118951320648,
-0.054337576031684875,
0.2062244415283203,
-0.06111909821... |
Definition: In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into fo... | Profession | 2 | NIv2 | task280_stereoset_classification_stereotype_type | zs_opt | [
-0.6681528687477112,
0.5796356201171875,
-0.17889483273029327,
0.4512215256690979,
0.2521539032459259,
-0.07274040579795837,
0.3863840699195862,
0.25073134899139404,
0.37309029698371887,
0.07148227095603943,
-0.5699041485786438,
0.08422732353210449,
-0.4855024218559265,
-0.3102315664291382... |
Part 1. Definition
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from... | Correct | 7 | NIv2 | task133_winowhy_reason_plausibility_detection | fs_opt | [
0.17588260769844055,
0.673203706741333,
0.1378520429134369,
-0.1640487015247345,
0.3132854998111725,
-0.6541153192520142,
0.5060458779335022,
0.25691020488739014,
0.4199123978614807,
-0.685675323009491,
-0.821323037147522,
0.3676648736000061,
-0.48132234811782837,
-0.3479610085487366,
0.... |
In this task, you are given a fact statement and question based on the fact. Your task is to generate the correct answer for the question. The answer needs to be generated using the context fact statement.
Example Input: Fact: something in a cold place becomes cold. Question: An object inside a freezer will become les... | an electrical plate
| 3 | NIv2 | task1399_obqa_answer_generation | fs_opt | [
1.035818338394165,
0.26744401454925537,
-0.8099708557128906,
0.6288537383079529,
0.2271955907344818,
-0.5774103403091431,
0.4812360405921936,
0.7672854661941528,
-0.05100507661700249,
-0.5271430015563965,
-0.9561754465103149,
0.16932854056358337,
-0.3081226348876953,
-0.22541984915733337,
... |
Detailed Instructions: In this task, you will be presented with a question having multiple possible answers in Urdu language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Problem:Question: جیمز کو پتہ نہیں تھا کہ کیا کرنا ہے۔ اس نے محسوس کیا کہ اگر... | E | 8 | NIv2 | task1132_xcsr_ur_commonsense_mc_classification | zs_opt | [
0.07440570741891861,
1.0792534351348877,
-0.3171270489692688,
-0.39827316999435425,
-0.5620684027671814,
-0.6136780381202698,
0.4639248251914978,
0.5727580785751343,
-0.013051786459982395,
-0.14878225326538086,
-0.5743649005889893,
0.587282657623291,
0.1490776538848877,
-0.6537504196166992... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
--------
Question: What type of ammunition would not have been common in 1940?, Context: Until the 1950s guns firing ballistic munitions were the standard weapon; guided missiles then became dominan... | Surry Nuclear Generating Station
| 7 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.2612943649291992,
0.5163350105285645,
0.28529858589172363,
-0.38585567474365234,
-0.15005607903003693,
-0.5611464381217957,
0.541357696056366,
1.131892442703247,
0.16177643835544586,
0.08727692067623138,
-0.3255733251571655,
0.11599072068929672,
-0.5552660226821899,
-0.33195245265960693,... |
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
Input: Consider... | Output: Namson Lau Andy Lau is a ballroom dancing instructor. On stage, he is a refined and suave gentleman, but in reality, he is cunning and greedy, and dancing has become a mean to strike fortune for him, without any other levels of significance. Kam Sandra Ng possesses mediocre qualifications and have been living a... | 2 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.6579616665840149,
0.21806757152080536,
-0.586003303527832,
0.11300338059663773,
0.23139411211013794,
-0.27847614884376526,
0.6630856990814209,
0.9799008965492249,
-0.4582381248474121,
-0.04989634454250336,
-0.6753256320953369,
0.30125540494918823,
0.1943349540233612,
-0.4363052248954773,... |
Definition: 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', 'NO_DIFF', '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', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF'... | 2 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.18647044897079468,
-0.3254036009311676,
-0.12905871868133545,
-0.002202726900577545,
0.4838877320289612,
-0.7082939147949219,
0.047011587768793106,
0.7206554412841797,
-0.04976460710167885,
0.15623560547828674,
-0.4460269510746002,
-0.5015838742256165,
-0.3986901044845581,
-0.08789070695... |
Q: In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appear... | race-color | 7 | NIv2 | task317_crows-pairs_classification_stereotype_type | zs_opt | [
0.11975282430648804,
-0.04648290574550629,
0.04194897413253784,
-0.612213671207428,
-0.19857974350452423,
0.1750802844762802,
0.47650229930877686,
0.6886901259422302,
0.596107006072998,
0.4222583770751953,
-0.713115930557251,
0.0187185350805521,
-0.6820429563522339,
-0.5369625091552734,
... |
Part 1. Definition
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Part 2. Example
Amends the Water Resources Development Act of 1999 to: (1) authorize ap... | Indoor Air Act of 1994 | 7 | NIv2 | task1659_title_generation | fs_opt | [
0.021499205380678177,
0.6560267210006714,
-0.5418293476104736,
-0.24584746360778809,
0.6572589874267578,
-0.40240395069122314,
0.5168975591659546,
0.6911348700523376,
-0.44316187500953674,
0.3467258810997009,
0.14083537459373474,
0.40312129259109497,
-0.45004767179489136,
-0.30979871749877... |
instruction:
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
question:
['971', '2377', '1089', 'Q', '5363', '4059', 'q', '789... | 4
| 9 | NIv2 | task504_count_all_alphabetical_elements_in_list | fs_opt | [
-0.10328784584999084,
0.31610220670700073,
-0.42564406991004944,
-0.3404802083969116,
0.21146030724048615,
-0.3615376055240631,
0.559851348400116,
0.16897401213645935,
-0.6592017412185669,
0.5357294678688049,
-0.3206378221511841,
0.6359306573867798,
-0.2825726866722107,
0.06084967404603958... |
instruction:
In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No... | No
| 9 | NIv2 | task227_clariq_classification | fs_opt | [
-0.21498407423496246,
-0.5778970718383789,
-0.23426640033721924,
0.2997894883155823,
-0.7144215703010559,
-1.160956621170044,
0.8337875604629517,
0.3920111060142517,
-0.21089226007461548,
-0.5300889015197754,
0.2322622835636139,
-0.3111115097999573,
-0.7838310599327087,
-0.3541170954704284... |
Detailed Instructions: In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
Problem:how long was richard nixon a president, Answer: Nixon was born in Yorba Linda , California.
Solution: | No | 8 | NIv2 | task1294_wiki_qa_answer_verification | zs_opt | [
0.7177606821060181,
-0.05211092531681061,
0.05552002787590027,
0.3313749134540558,
-0.5316213369369507,
-1.3362067937850952,
-0.134722501039505,
0.05906049907207489,
0.6148473024368286,
0.0167434923350811,
0.3796948790550232,
0.00836356170475483,
-0.9700560569763184,
-0.38022488355636597,
... |
In this task, you are given a question in English, and your task is to translate it into Persian.
Why are professional tennis rackets heavier than beginner's ones?
چرا راکت های تنیس حرفه ای سنگین تر از نمونه های مبتدی هستند؟
Where can I find a power outlet for my laptop at Melbourne Airport?
از کجا می توانم یک پریز ب... | آیا مهندسی هسته ای زمینه خوبی است؟
| 0 | NIv2 | task652_parsinlu_en_fa_translation | fs_opt | [
-0.6928796768188477,
0.5549301505088806,
-0.7496926784515381,
-0.3210289180278778,
-0.07763969898223877,
0.18219426274299622,
1.0829033851623535,
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0.89076828956604,
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-0.23015864193439484,
0.7698103189468384,
-0.7319512963294983,
0.15858086943626404,... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? ... | method
| 0 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.01599392294883728,
0.261966347694397,
-0.12185874581336975,
0.2622348964214325,
-0.4224250912666321,
0.2291259765625,
0.6986651420593262,
0.44859015941619873,
0.3151843547821045,
0.1591571867465973,
-1.1455683708190918,
0.001662828610278666,
-0.4346838593482971,
0.39365553855895996,
0... |
Given the task definition, example input & output, solve the new input case.
The provided file includes inquiries about restaurants, and we ask you to translate those to the German language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and for... | zeige mir restaurants in " san francisco " . | 1 | NIv2 | task117_spl_translation_en_de | fs_opt | [
-0.5740360021591187,
0.6581869125366211,
0.16588562726974487,
0.38330644369125366,
-0.022904813289642334,
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0.8945002555847168,
1.0760687589645386,
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-0.3957345485687256,
0.379660964012146,
0.16486084461212158,
-0.5597888827323914,
0.1857822090387344... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Input: Consider Input: Me encantó. Pensé que había algo realmente hermoso en eso.
Output: אהבתי את זה. חשבתי שיש בזה משהו יפהפה.
Input: Consider Input: Y debes hacer la guerra de una manera que facilite esto.
Output: וצ... | Output: הגבר הזה לבש חולצת טי לבנה, ג 'ינס, היתה לו מצלמה, נעלי ספורט לבנות — ממש נעלי ספורט לבנות.
| 2 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-1.0006167888641357,
0.6259180903434753,
-0.6700578927993774,
0.5249659419059753,
-0.41822710633277893,
-0.042369842529296875,
0.3870648443698883,
0.9542816877365112,
0.8113452792167664,
-0.3026006817817688,
-0.8591827750205994,
0.7676509618759155,
-0.5601202249526978,
-0.3382059931755066,... |
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting ... | 7463R706919927304
| 5 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
0.10308480262756348,
-0.08028653264045715,
-0.4842974841594696,
-0.31085115671157837,
-0.0972156673669815,
-0.11112871021032333,
0.8023250102996826,
0.4598506987094879,
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0.033096227794885635,
-0.9731013774871826,
-0.011842068284749985,
-0.1469559669494629,
0.02053580060... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
One example: Category: HOMOPHONIC PAIRS
Clue: It's a notation on a percussion store to clash
S... | pearl harbor | 6 | NIv2 | task307_jeopardy_answer_generation_final | fs_opt | [
-0.20902538299560547,
0.5704977512359619,
-0.8103743195533752,
-0.1086382195353508,
0.3133169412612915,
-0.5355154275894165,
0.543563723564148,
0.2428402304649353,
0.43769025802612305,
0.13608720898628235,
-0.34432458877563477,
0.15594150125980377,
-0.621589183807373,
-0.008665278553962708... |
Part 1. Definition
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No... | No emotion,No emotion,No emotion,No emotion,No emotion | 7 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.0020091044716537,
0.31075847148895264,
-0.36436834931373596,
-0.8635188341140747,
0.04124462231993675,
-0.341774582862854,
0.9576678276062012,
-0.05133792757987976,
0.011212420649826527,
-0.07167137414216995,
-0.4845694303512573,
-0.43637335300445557,
-0.920802116394043,
0.17576508224010... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Input: Consider Input: Squeeze juice from Oranges and Lemons, save, Put fruit rinds and spices in a pan with the water, cover and simmer... | Output: egg yolks, lemons, crust, sugar, flour
| 2 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.09260226786136627,
0.5315648913383484,
0.1366710066795349,
0.4877323806285858,
-0.5006909370422363,
0.4066755175590515,
0.372766375541687,
0.34936416149139404,
-0.16387243568897247,
-0.2330680787563324,
-0.08928059041500092,
-0.6713135838508606,
-0.5187633037567139,
-0.2487618774175644,
... |
Detailed Instructions: In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
See one example below:
Problem: Dialogue 1: 'when did i called u ugly pony wh... | yes | 4 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.5856773853302002,
0.07048580050468445,
0.5941648483276367,
-0.3083496689796448,
-0.3075053095817566,
0.9029528498649597,
0.8423223495483398,
-0.33163097500801086,
-0.29776397347450256,
-0.4020206928253174,
0.08054088801145554,
-0.1794525533914566,
-0.1118612140417099,
0.1623454689979553... |
In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follo... | user
****
| 4 | NIv2 | task1599_smcalflow_classification | fs_opt | [
0.14148154854774475,
0.8638548851013184,
-0.4584706425666809,
-0.3935205936431885,
0.047337714582681656,
-0.1733855903148651,
0.3414400517940521,
0.03251668065786362,
0.30282607674598694,
-0.16792437434196472,
-0.09520120173692703,
0.06754671782255173,
-0.4226207733154297,
0.50956910848617... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 条約は、タバコの価格と増税... | Yes | 1 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
-0.49145036935806274,
-0.14915302395820618,
0.07765147089958191,
-0.41983091831207275,
0.12598799169063568,
-0.19817382097244263,
0.3739659786224365,
0.5449046492576599,
-0.4703807234764099,
0.2258899211883545,
-0.1401565670967102,
-0.6398740410804749,
-0.6925599575042725,
0.30192863941192... |
Detailed Instructions: Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Q: The Federal Government has the responsibility to defend and protect America. We do that by having the strongest and most well equipped military. The World is a dangerous... | No | 9 | NIv2 | task1725_civil_comments_severtoxicity_classification | zs_opt | [
0.0016238996759057045,
0.721037745475769,
0.6747459769248962,
0.12384530156850815,
-0.2167133241891861,
-0.7494558095932007,
0.40283215045928955,
1.1167078018188477,
0.17105960845947266,
0.5051769018173218,
-0.1720021516084671,
-0.15692278742790222,
-0.4409542977809906,
-0.2700143158435821... |
Detailed Instructions: Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
See one example below:
Problem: The girls continue to speak with one another while the girl knits. They
Solution: put the bars around while speaking and play.
Explan... | sets a map on the stove. | 4 | NIv2 | task454_swag_incorrect_answer_generation | fs_opt | [
0.015890639275312424,
1.2995480298995972,
-0.7258466482162476,
0.2231913059949875,
-0.6533277630805969,
-0.42341214418411255,
-0.018264979124069214,
0.21256190538406372,
0.2818772792816162,
0.2927279472351074,
-0.5627112984657288,
0.3127687871456146,
-0.2813641130924225,
0.1708000004291534... |
Detailed Instructions: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Q: [[22, -42, 41, 12, 49], ... | [-22275792, 850, 8568, 9477, 540, -736] | 9 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.5696268081665039,
0.2968384027481079,
-0.6255322098731995,
-0.6270118951797485,
-0.2536744177341461,
-0.5036859512329102,
1.4740843772888184,
-0.6305223107337952,
-0.3784213960170746,
-0.3620421886444092,
-0.799086332321167,
0.4902303218841553,
-0.7764675617218018,
0.03441065549850464,
... |
Definition: Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Input: Perfect Conditions
Output: | Five Stars | 2 | NIv2 | task1342_amazon_us_reviews_title | zs_opt | [
-0.7309406995773315,
-0.24774490296840668,
-0.1114315539598465,
-0.3463178277015686,
0.09291904419660568,
-0.022761866450309753,
0.1152082309126854,
0.06068482995033264,
0.14225758612155914,
0.6282223463058472,
-0.5978649258613586,
-0.20393675565719604,
-0.305279940366745,
0.04554659873247... |
TASK DEFINITION: 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.
PROBLEM: [-85, -99]
SOLUTION: [-85]
PROBLEM: [92, 70, -17... | [89]
| 8 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
0.2957085371017456,
0.08878953754901886,
-0.655938982963562,
-0.6278558969497681,
0.3671683669090271,
0.4368358850479126,
0.8558244705200195,
-0.018220897763967514,
-0.4149479269981384,
0.28187012672424316,
-0.6358577013015747,
0.08282801508903503,
-0.1587936282157898,
-0.426888108253479,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given a 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. Retu... | True | 0 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.28391075134277344,
0.1280091106891632,
-0.3511659502983093,
0.417761892080307,
0.49293917417526245,
0.009469469077885151,
0.6451338529586792,
1.2955288887023926,
-0.3028024435043335,
0.9811817407608032,
-0.5564347505569458,
0.9231022596359253,
-0.23487232625484467,
0.4017338752746582,
... |
Part 1. Definition
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You sho... | PersonX held a fundraiser in March and PersonY held a competing fundraiser in April, the April one did far better and _ gloated over it. | 7 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
1.3328248262405396,
-0.028228653594851494,
-0.19001354277133942,
-0.16540884971618652,
0.273579478263855,
-1.059851884841919,
1.4063189029693604,
0.6553691625595093,
-0.36452850699424744,
-0.4198848605155945,
-0.38841575384140015,
0.19910436868667603,
-0.6978917717933655,
0.537921190261840... |
Detailed Instructions: 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, ... | occupation | 4 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.7186818718910217,
-0.05975308269262314,
-0.4656955599784851,
-0.5173894762992859,
0.1982751488685608,
-0.007965958677232265,
0.3308115005493164,
0.9828873872756958,
0.2897114157676697,
0.6106202602386475,
0.37395209074020386,
0.49443522095680237,
-1.1405625343322754,
0.20169410109519958,... |
In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follo... | user | 4 | NIv2 | task1599_smcalflow_classification | zs_opt | [
-0.09449414163827896,
0.7908055782318115,
0.5220907926559448,
-0.16805872321128845,
-0.6612536311149597,
-0.015910832211375237,
0.683082103729248,
-0.15432879328727722,
0.21400709450244904,
-0.6250045299530029,
0.2415378838777542,
0.21581202745437622,
-1.0856003761291504,
0.493380278348922... |
Q: Given an entity as input, output another entity which is part of the input entity. These are entities of meronym. In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., output entity) is in a part-of relationship with its h... | prostate gland | 7 | NIv2 | task471_haspart_answer_generation | zs_opt | [
-0.8391191959381104,
0.7536662817001343,
0.1004224419593811,
0.15617047250270844,
-0.4891086220741272,
-0.012874072417616844,
-0.5701494216918945,
0.529406726360321,
0.7541139125823975,
-0.8253315687179565,
-0.9735127091407776,
0.7314202785491943,
-0.09252271801233292,
-0.00485802814364433... |
Detailed Instructions: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certai... | Gather one color of nail polish and paint the top of your keys with a small paint brush. | 9 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
0.27665144205093384,
0.7430453300476074,
-0.8432675004005432,
0.21901428699493408,
-0.3648780882358551,
-0.6243744492530823,
0.10949273407459259,
0.46138328313827515,
0.07315880060195923,
0.44569796323776245,
0.27950578927993774,
0.2722131609916687,
-0.2555098831653595,
-0.0270377062261104... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
One example is below.
Q: אתם רואים שהפינגווין הזה ניגש ומסתכל על החוטים, הוא לא אוהב את החוט הזה.
A: شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند
Rationale: The Hebrew... | به جنبش بپيونديد. | 9 | NIv2 | task1113_ted_translation_he_fa | fs_opt | [
-1.3368585109710693,
0.541165828704834,
0.14744466543197632,
0.4276082515716553,
-0.5946682691574097,
-0.76051265001297,
0.5896166563034058,
0.11420412361621857,
0.516692042350769,
0.23507829010486603,
-0.8479799032211304,
0.6661194562911987,
-0.9297833442687988,
-0.11546611040830612,
0.... |
Teacher:In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
Teacher: Now, understand the problem? Solve this instance: SECTION 1. SHORT TITLE.
This Act may be cited as the ``United States Weather Research
Program Act of 2003''.
SEC.... | United States Weather Research Program Act of 2003 - States that the United States Weather Research Program's priorities shall be in the areas of: (1) hurricanes, to improve landfall location and hurricane strength forecasts; (2) heavy precipitation, to improve winter and rain storm forecasts; (3) floods, to improve fl... | 6 | NIv2 | task1658_billsum_summarization | zs_opt | [
-0.05896501988172531,
0.04224887862801552,
-0.7572742700576782,
-0.33516010642051697,
0.3309210538864136,
-0.9619216322898865,
0.5925833582878113,
1.0315794944763184,
-0.6409887075424194,
0.31167158484458923,
-0.2195684015750885,
0.36620619893074036,
0.1721293032169342,
0.16166801750659943... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is stil... | method | 1 | NIv2 | task1163_coda19_section_classification | fs_opt | [
0.13632041215896606,
0.2783944010734558,
-0.40920290350914,
0.21470099687576294,
0.5906823873519897,
-0.11996027827262878,
0.3643524646759033,
1.2975726127624512,
-0.19583705067634583,
0.3713599145412445,
-1.1235193014144897,
0.04731267690658569,
0.33757999539375305,
0.1684289425611496,
... |
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social ca... | no
| 0 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
-0.1297164410352707,
0.07275445014238358,
0.5471912622451782,
0.2162686288356781,
-0.11733586341142654,
-0.7604004144668579,
0.8965880870819092,
0.8230524063110352,
0.030236709862947464,
0.7582592964172363,
0.10293106734752655,
-0.454218327999115,
-0.6069554090499878,
-0.7591772675514221,
... |
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Ten diabetes. Caso pechado.
| Aveva preso il diabete. Caso chiuso. | 5 | NIv2 | task1243_ted_translation_gl_it | zs_opt | [
-0.37971946597099304,
0.6874431371688843,
-0.15494364500045776,
-0.670565664768219,
-0.11802470684051514,
-0.5064181089401245,
0.050066690891981125,
0.4743386507034302,
-0.263445109128952,
-0.11410107463598251,
-0.6012976169586182,
0.8556635975837708,
-0.4096740484237671,
0.452897965908050... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Example: Fo... | NI teaching unions reject pay offer and consider further action | 1 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.34454402327537537,
0.8993473052978516,
0.17099589109420776,
0.1240229681134224,
0.07706473767757416,
0.21744170784950256,
-0.4578081965446472,
0.603929877281189,
-0.056899022310972214,
0.5887766480445862,
-0.306079626083374,
-0.26448214054107666,
-0.1700361669063568,
-0.3830015659332275... |
TASK DEFINITION: In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a chil... | I got a ticket for a broken light.
| 8 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
0.19240207970142365,
0.5551384687423706,
-0.31854891777038574,
-0.004000203218311071,
-0.007523306645452976,
0.04344474524259567,
0.45779168605804443,
0.3431839942932129,
-0.4934881925582886,
-0.12006177008152008,
-0.40773582458496094,
0.18412619829177856,
0.08895248174667358,
-0.450902312... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
[EX Q]: DH: Teño que prepararme.
[EX A]: DH: Devo prepararmi.
[EX Q]: Semellan máis intelixentes.
[EX A]: Essi sembrano essere una cosa più intelligente.
[EX Q]: Esta é India e esta é China. O tamaño indica a poboación... | Questa è l'India e questa è la Cina. La dimensione è la popolazione.
| 6 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.4914838373661041,
0.8402146100997925,
0.10396473109722137,
-0.9615373015403748,
-0.470891535282135,
-1.121640920639038,
0.2442062944173813,
0.7053647041320801,
-0.3674812316894531,
-0.5344351530075073,
-0.7903708815574646,
-0.12845109403133392,
-0.40850257873535156,
0.4698713421821594,
... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Q: Person1: How annoying !
Person2: What's the matter ?
Pe... | 0
****
| 4 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.35166674852371216,
0.14806018769741058,
-0.1690368354320526,
0.05237150564789772,
0.19398701190948486,
0.040696822106838226,
0.8520275950431824,
0.7780255079269409,
0.07281962782144547,
0.1822224259376526,
-0.28273653984069824,
-0.8099193572998047,
-0.5015221834182739,
0.2151546478271484... |
Q: 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 inf... | strengthener | 7 | NIv2 | task936_defeasible_nli_snli_classification | zs_opt | [
0.3558136820793152,
0.10551264882087708,
-0.28829342126846313,
0.19041909277439117,
0.29952484369277954,
-1.146040439605713,
0.8949546813964844,
1.26112699508667,
0.7465828657150269,
0.017580587416887283,
-0.7385169267654419,
0.09877339750528336,
-0.49638068675994873,
0.13625048100948334,
... |
Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.
E... | 15 years ago, cancer drugs cost an average of $10,000 a year. Now it’s $10,000 a month.
| 3 | NIv2 | task1368_healthfact_sentence_generation | fs_opt | [
0.321757435798645,
1.0001393556594849,
-0.176683247089386,
-0.5582018494606018,
0.6930403113365173,
-0.7983129024505615,
0.24908556044101715,
1.2724015712738037,
-1.017080307006836,
0.5318557024002075,
-0.16424241662025452,
0.6917247772216797,
0.031199488788843155,
-0.48991793394088745,
... |
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.
7, ['6443', '1261', '945', '2891', 'p', '2667', 'G', 'm', 'n', 'C', '3627', '9613', '9095', 'K', '3081', '4231',... | h, 8827, 3437, 7501, 7697, 2605, M, 879, K, x, 9783, 4771, k, 2555, 2941, z, 531, d, 3431
| 0 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
-0.0430784747004509,
0.0388014018535614,
-0.2609008848667145,
-0.43993881344795227,
-0.3909221291542053,
-0.30381542444229126,
0.7243752479553223,
0.36941608786582947,
-0.42530179023742676,
0.22624704241752625,
-0.7018389701843262,
0.04740925133228302,
-0.24741315841674805,
0.3523961603641... |
Definition: In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Input: Arrived nicely packaged and sealed. An aromatic, lovely tea that I love to blend with others ... | great tea! | 2 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
-0.24205437302589417,
0.16812026500701904,
0.023403974249958992,
-0.40753230452537537,
0.0880708247423172,
-0.08476303517818451,
0.6425192356109619,
-0.4482364058494568,
0.24507027864456177,
0.4654870629310608,
-0.13804581761360168,
-0.6852182149887085,
-0.30384647846221924,
0.116709999740... |
Q: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be return... | [-888] | 7 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.631803035736084,
0.4200311303138733,
-0.3548014163970947,
-0.3290647864341736,
-0.4478016495704651,
0.22080489993095398,
0.9591765999794006,
0.2619912624359131,
-0.32781508564949036,
0.23737527430057526,
-0.26869451999664307,
-0.18116983771324158,
-0.38358956575393677,
-0.16725625097751... |
Detailed Instructions: In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Problem:Statement: At low tide you can walk o... | 3 | 8 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
0.35021093487739563,
0.6493704319000244,
-0.4069581925868988,
-0.30928584933280945,
0.3330177962779999,
-1.0166840553283691,
0.390923410654068,
0.27381882071495056,
-0.5513352751731873,
0.0789659321308136,
0.4536193013191223,
-0.1698453426361084,
-0.07903482019901276,
-0.29964590072631836,... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Która funkcja mózgu jest najtrudniejsza?
| אם כך, מה הוא הדבר הקשה ביותר למוח לבצע? | 5 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.6916438341140747,
1.1579227447509766,
0.5391119122505188,
-0.24404677748680115,
-0.2986485958099365,
0.746230959892273,
0.6658550500869751,
-0.5856782793998718,
1.1395471096038818,
-0.809562087059021,
-0.3997296094894409,
-0.10305948555469513,
-0.5491185188293457,
0.6296695470809937,
... |
Given the task definition, example input & output, solve the new input case.
The provided file includes inquiries about restaurants in Arabic, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written... | where is the nearest " mexican " restaurant ? | 1 | NIv2 | task257_spl_translation_ar_en | fs_opt | [
-0.3753244876861572,
0.6255213022232056,
0.5327706933021545,
-0.0882619172334671,
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-0.05342933163046837,
0.7143962383270264,
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-0.4117516875267029,
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0.2469317615032196,
0.3918246030807495,
-0.27942267060279846,
0.12777724862098694,
... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
question:
Fu una cosa assolutamente gigantesca, dunque.
answer:
Era unha cifra realmente enorme.
question:
Ma gli umani sono curiosi, e piace loro aggiungere cose ai loro corpi per poter andare sulle Alpi un... | Mais a parte dereita é un chisco diferente en cada especie.
| 9 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.47970807552337646,
0.6448913216590881,
-0.34618884325027466,
-0.09789245575666428,
-0.8073681592941284,
-1.0516287088394165,
0.3669986128807068,
0.10653983801603317,
-0.22097504138946533,
-0.7844771146774292,
-0.3348729908466339,
0.1136600449681282,
-0.4309481680393219,
0.42190328240394... |
Detailed Instructions: You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid res... | Yes. | 4 | NIv2 | task050_multirc_answerability | fs_opt | [
-0.5118365287780762,
0.12164495885372162,
0.27734583616256714,
0.7283035516738892,
-0.42576831579208374,
-1.5875821113586426,
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-0.1616499125957489,
-0.22725684940814972,
0.0018515094416216016,
-0.0739424824714... |
Detailed Instructions: Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Problem:No good I bought 2añd they aren't working
Solution: | Negative Review | 8 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
0.06042823940515518,
0.2596290111541748,
-0.13765032589435577,
-0.5649905204772949,
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-0.13026849925518036,
0.5878133773803711,
-0.48572665452957153,
-0.3274189233779907,
-0.4736809730529785,
-0.50301134586... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in English, and your task is to translate it into Persian.
not just the words . and thats where a great film editor can help a director .
Solution: فقط کلمات ن... | بله | 0 | NIv2 | task658_tep_en_fa_translation | fs_opt | [
-0.987462043762207,
0.26662176847457886,
-0.31819331645965576,
0.062112681567668915,
-0.3758910894393921,
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-0.12933500111103058,
-0.49287500977516174,
-0.4787810146808624,
0.5671893954277... |
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 | 4 | NIv2 | task1210_atomic_classification_madeupof | zs_opt | [
0.2606268525123596,
0.4210565686225891,
0.21049493551254272,
0.16607064008712769,
-0.6146376132965088,
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0.9877141714096069,
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-0.5287895798683167,
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Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Input: En mi buceo bajé a los 5.400 metros, a un área que pensé sería silvestre y prístina en el fondo del mar.
Output: | Zanurzyłem się na głębokość prawie 5,5 km do miejsca, o którym myślałem, że będzie nieskazitelnie dzikim obszarem na dnie morza. | 3 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.6189565658569336,
0.8480697870254517,
-0.8484330773353577,
-0.3748566210269928,
0.23504409193992615,
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0.15407496690750122,
-0.3773277997970581,
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-0.032082416117191315,
-0.5206066370010376,
-0.2384260892868042,
-0.9024118185043335,
0.04944279789924... |
You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous.
... | surprise
| 5 | NIv2 | task1663_cedr_ru_incorrect_classification | fs_opt | [
-0.9377954602241516,
0.19210118055343628,
0.30456382036209106,
-0.26666802167892456,
-0.28349068760871887,
-0.5224794745445251,
0.35671544075012207,
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-0.10525491088628769,
-0.5144129991531372,
0.021128106862306595,
0.054107725620269775,
0.07392235845... |
You will be given a definition of a task first, then some input of the task.
This task is about translating a given Spanish language sentence to English.
Esto es evolución social.
Output: | This is social evolution. | 1 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.516059160232544,
0.8385025858879089,
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-0.20166034996509552,
-0.14604368805885315,
-0.25665706396102905,
-0.0026433507446199... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must b... | Sentence 1: He threw a tantrum after losing the toy and the tablet, but he couldn't earn back the _ today.
Answer1: tablet.
Sentence 2: He threw a tantrum after losing the toy and the tablet, but he could only earn back the _ today.
Answer2: toy. | 0 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.6063345670700073,
0.4029785990715027,
0.026793263852596283,
-0.17254182696342468,
0.6802938580513,
-0.6687538027763367,
0.47954413294792175,
1.1114344596862793,
-0.6896612644195557,
-0.36245962977409363,
-0.41107386350631714,
-0.027373056858778,
-0.6162055730819702,
-0.11686816811561584,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "Fal... | False | 0 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
-0.026032984256744385,
0.19640646874904633,
-0.24570445716381073,
0.3391997218132019,
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-0.000980720273219049,
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1.3823692798614502,
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0.3528805077075958,
-0.9122715592384338,
-0.07208399474620819,
0.08486401289701462,
0.2719363868236... |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Ex Input:
Ordered take out which consisted of sesame chicken, cashew chicken and crab ragoons. Were were told ... | POSITIVE
| 1 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-0.3632763624191284,
-0.01868869550526142,
-0.31223782896995544,
-0.19220082461833954,
0.7945713996887207,
-0.18297375738620758,
0.5130603313446045,
1.1318196058273315,
0.05138615518808365,
0.38031765818595886,
0.6608558297157288,
0.14782945811748505,
-0.4059438407421112,
-0.11866335570812... |
Part 1. Definition
In this task, you will be presented with a question having multiple possible answers in Arabic language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Part 2. Example
Question: ارتفعت صوت المروحة الكهربائية كثيرًا وكانت تزعج الآخر... | D | 7 | NIv2 | task1142_xcsr_ar_commonsense_mc_classification | fs_opt | [
0.14738866686820984,
0.5563206672668457,
-0.1064242348074913,
-0.3708323836326599,
-0.25051987171173096,
0.2543202042579651,
1.4217337369918823,
0.05164090916514397,
0.6188070774078369,
-0.01358377281576395,
-0.5960850715637207,
0.33179083466529846,
-0.334209680557251,
-0.30807751417160034... |
Detailed Instructions: "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, identify which response is the type of ... | Response 1 | 8 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
0.0304446779191494,
0.9238554239273071,
0.4132513999938965,
-0.3532123267650604,
0.1134820505976677,
-0.8194645643234253,
0.33884769678115845,
0.29453611373901367,
0.04197898507118225,
-0.3280720114707947,
-0.4516409635543823,
0.1797776222229004,
-0.6667013168334961,
0.2526102066040039,
... |
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, otherwi... | No | 4 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
-0.8353291749954224,
0.3099815547466278,
0.31968218088150024,
-0.15477517247200012,
0.06170318275690079,
-0.5909479856491089,
0.5996162295341492,
0.8922959566116333,
-0.09838731586933136,
0.10537470877170563,
-0.2850725054740906,
-0.051465608179569244,
-0.693306565284729,
0.073852792382240... |
Teacher:Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of ... | Een klas kan de frustratie onder ogen zien wanneer de leraar hun pauze wil. | 6 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.572829008102417,
0.5196603536605835,
0.29918932914733887,
-0.5402008295059204,
-0.18650183081626892,
-0.4641656279563904,
0.19798076152801514,
0.24373041093349457,
0.8198234438896179,
-0.7970583438873291,
-0.36412450671195984,
0.6217931509017944,
-0.7138082385063171,
-0.0809851884841919... |
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous nam... | Baguet: B-PER | 4 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | zs_opt | [
-0.05033474415540695,
0.039263755083084106,
-0.06778612732887268,
-0.3449617624282837,
-0.3911101222038269,
-0.4609324038028717,
1.180632472038269,
-0.2540583610534668,
0.7092447280883789,
-0.22103655338287354,
-0.9361361861228943,
0.3062075674533844,
-0.21004651486873627,
-0.1642047464847... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
One example: But if the shares belong to Geoffrey Charles, well, then George cannot touch them.
Solution is here: لكن لو كانت الأسهم بإسم جوفري تشارلز لن يمكن لجورج المساس بهم.
Explanation: This is a good example. Th... | وأضافت قائلة إنه قد جرى وضع خطة وطنية لمكافحة الاتجار بالبشر وذلك من أجل بناء القدرة في الإدارات العامة المحلية بمساعدة من قطاع التعليم وقطاع العمل الاجتماعي. | 6 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
0.1383243203163147,
0.4098501205444336,
0.1269417703151703,
-1.322439193725586,
0.2001577913761139,
-0.13634341955184937,
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-0.3687095046043396,
-0.30447515845298767,
0.4284489154815674,
-0.7570939064025879,
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... |
Definition: In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Input: BACKGROUND DNA replication and mitosis are triggered by activation of kinase complexes, each made up of a cyclin and a cyclin-dependent kinase (Cdk). It had se... | S-phase-promoting cyclin-dependent kinases prevent re-replication by inhibiting the transition of replication origins to a pre-replicative state | 2 | NIv2 | task1586_scifact_title_generation | zs_opt | [
0.3274148404598236,
0.30535972118377686,
-0.5390826463699341,
-0.16250446438789368,
0.18128953874111176,
-0.371298223733902,
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0.15469209849834442,
-0.2903483808040619,
0.27515825629234314,
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... |
Given the task definition and input, reply with output. You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
وقد كان هذا أكثر بثلاث دقائق مما كنت قد تدربت عليه
| Que son tres minutos más de lo que yo me había estado preparando. | 5 | NIv2 | task1232_ted_translation_ar_es | zs_opt | [
-0.405546635389328,
0.6832879781723022,
0.18569345772266388,
-0.5968105792999268,
-0.4318692088127136,
0.3115888237953186,
0.4201962649822235,
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0.326854944229126,
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-0.814764142036438,
0.28226444125175476,
-0.3335893154144287,
0.1178436130285263,
0.8... |
Q: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Comment: Yep roy posts 300-400
Comments a day.... | Non-threat | 7 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.8669970631599426,
0.4079776704311371,
0.9413675665855408,
0.5870561599731445,
-0.2045159786939621,
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1.1041518449783325,
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-0.046369768679142,
-0.4401327967643738,
0.5242671370506287,
-0.6228643655776978,
-0.3189821243286133,
-0... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
See one example below:
Problem: Con el crecimiento, los países y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente, de oportunidad y mejores niveles de vida.
Solution: With economic... | They're very expensive. | 4 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.5742763876914978,
0.593854546546936,
0.16544361412525177,
-0.2897826135158539,
-0.13672909140586853,
0.07527752965688705,
-0.16492995619773865,
1.07699716091156,
-0.24967089295387268,
-0.008574175648391247,
-0.4660426080226898,
0.33665645122528076,
-0.916110634803772,
-0.314250648021698... |
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".
Bulgarian: Условия за достъп до газопреносни мрежи (, English: Conditions for access to the natural ... | yes | 0 | NIv2 | task273_europarl_classification | zs_opt | [
-0.3146362900733948,
0.2971286475658417,
0.5778733491897583,
-0.14089636504650116,
0.22969062626361847,
-0.5470756888389587,
0.8541759252548218,
0.5138375163078308,
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0.16309723258018494,
-0.7848392128944397,
0.36644577980041504,
-0.43022751808166504,
-0.10163232684135437... |
Definition: Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a conclu... | Cricoid is a tough tissue that contains a protein called collagen. | 2 | NIv2 | task038_qasc_combined_fact | zs_opt | [
0.4228286147117615,
0.5166573524475098,
-0.5521590113639832,
-0.21049098670482635,
-0.5025578737258911,
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-0.10530485212802887,
-0.8454557061195374,
0.32117772102355957,
-0.5266693830490112,
0.2828444540500641,... |
Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the given paragrap... | Shoots a cue ball at him.
| 7 | NIv2 | task054_multirc_write_correct_answer | fs_opt | [
-0.06920424103736877,
0.179733008146286,
-0.6722308397293091,
0.24253039062023163,
0.16243314743041992,
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1.0322918891906738,
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-0.9574493169784546,
0.45336824655532837,
-1.0653564929962158,
0.1399950683116912... |
In this task, you are given one French sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into English.
One example: La LGV est très rare en Europe.
Solution is here: LGV is very rare ... | RELATED TOPICSREAD MORE ON ECDC SITEEUROSURVEILLANCEHEALTH TOPICS A-ZRELATED HEALTH TOPICS | 6 | NIv2 | task1397_europa_ecdc_tm_fr_en_translation | fs_opt | [
-0.39711570739746094,
0.49410301446914673,
0.38525211811065674,
-0.5593610405921936,
0.2672184705734253,
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-0.050555892288684845,
-0.37471282482147217,
-0.3018357753753662,
0.26322096586227417,
-0.531592845916748,
0.30562317371368... |
Q: In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "woman" and... | What does the man say about the seminar? (A) It will be held in a different place, (B) It has been put off. (C) It has been cancelled. | 7 | NIv2 | task246_dream_question_generation | zs_opt | [
0.36725181341171265,
0.4580569267272949,
-0.01717214100062847,
-0.9925134778022766,
0.09545911848545074,
0.0029484033584594727,
0.5430781841278076,
0.5349339246749878,
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-0.304278701543808,
-0.4864729344844818,
0.2896413207054138,
0.2142045795917511,
-0.03762446716427803,... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: આ તમામ પરિયોજનાઓ કેટલાંક રાજ્યોમાં પથરાયેલી છે, જેમાં આંધ્રપ્રદેશ, અસમ, ગુજરાત, દિલ્હી, હરિયાણા, તામિલનાડુ, ઓડિશા, કર્ણાટક, પં... | ఈ పథకాలు ఆంధ్ర ప్రదేశ్, అసమ్, గుజరాత్, ఢిల్లీ, హరియాణా, తమిళ నాడు, ఒడిశా, కర్నాటక, పంజాబ్, ఉత్తర్ ప్రదేశ్, మరియు ఉత్తరాఖండ్ లు సహా అనేక రాష్ట్రాలలో వ్యాపించివున్నాయి. | 9 | NIv2 | task1013_pib_translation_gujarati_telugu | zs_opt | [
-0.3056437373161316,
0.5555576682090759,
0.4566761255264282,
-0.7430793046951294,
-0.18136999011039734,
-0.8973466157913208,
0.1046561449766159,
0.10850590467453003,
-0.215164452791214,
0.09764283895492554,
-0.3691357374191284,
0.04760722443461418,
-0.1911512017250061,
0.32697921991348267,... |
Detailed Instructions: You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed ... | PersonX was envious of PersonY s girlfriend because _ 's girlfriend was so ugly in comparson. | 8 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.14372530579566956,
0.9228243827819824,
0.12960185110569,
-0.4689299464225769,
0.044887080788612366,
-0.16753707826137543,
0.47273561358451843,
0.6255441904067993,
0.03565496951341629,
-0.43160387873649597,
-0.16514188051223755,
-0.46816760301589966,
-0.21706736087799072,
0.10747191309928... |
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.
--------
Question: Ang Uklayn, ang panig ng Europa na nasa pinakamataas na ranggo sa labanan, ay pumasok sa paligsahan nang magtapos na ikalawa sa... | 後に、国連は取り残された職員を迎えにパトロール隊を送った。
| 7 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
-0.3829862177371979,
0.17337444424629211,
-0.4138839840888977,
-0.5599192380905151,
-0.11724887043237686,
-0.018673235550522804,
0.7398999929428101,
-0.05989176779985428,
-0.37119728326797485,
-0.7759875059127808,
-0.5734216570854187,
1.0938992500305176,
-0.9607527256011963,
0.750463068485... |
Given a scientific question, generate a correct answer to it.
Let me give you an example: Who proposed the theory of evolution by natural selection?
The answer to this example can be: darwin
Here is why: This is a direct fact that Charles Darwin proposed the theory of evolution.
OK. solve this:
The nervous system is ... | neurons | 8 | NIv2 | task591_sciq_answer_generation | fs_opt | [
0.044723790138959885,
0.21337321400642395,
-0.1978110373020172,
0.015187599696218967,
-0.42429232597351074,
-0.6301906108856201,
0.5844993591308594,
0.5781004428863525,
0.3271690607070923,
-0.11831804364919662,
-0.3188536763191223,
-0.29654550552368164,
-1.5440388917922974,
-0.249413311481... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
--------
Question: भूगर्भीय गतिविधि 632.9 किलोमीटर की गहराई पर हुई।
Answer: ... | After the first, overnight on Tuesday at Addenbrooke's Hospital in Cambridge, it was reported in a press release by Marussia that she had lost her right eye, and was still in a "critical but stable" condition.
| 7 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
0.3993992209434509,
0.1265074759721756,
0.1835632473230362,
0.08920279145240784,
0.3312765955924988,
-0.4119953513145447,
-0.6299450993537903,
-0.18368014693260193,
-0.18005739152431488,
-0.35532820224761963,
-0.20739415287971497,
0.29013559222221375,
-0.3883976936340332,
0.135790109634399... |
Definition: In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
Input: کنستانتین، چهارمین پسر امپراتور بیزانس مانوئل دوم از همسر صربتبارش هلنا دراگاش (از دودمان مقدونیایی دراگاش) بود. او کارش در عرصهٔ سیاست را در کنا... | بدون آنکه فرزندی داشته باشد | 2 | NIv2 | task395_persianqa_answer_generation | zs_opt | [
0.4210105240345001,
0.8077341318130493,
-0.3321480453014374,
-0.2518500089645386,
-0.7175780534744263,
0.34940314292907715,
0.053231339901685715,
0.6189485192298889,
0.39125561714172363,
-0.18176141381263733,
-0.43843701481819153,
0.48859062790870667,
-0.23760294914245605,
0.34352731704711... |
TASK DEFINITION: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You sh... | no i want to know about the broadway musical of the sleeping garden
| 8 | NIv2 | task1714_convai3_sentence_generation | fs_opt | [
0.28552043437957764,
0.7062246799468994,
-0.3421252369880676,
-0.060920849442481995,
-0.18009856343269348,
-0.005337506532669067,
1.2105317115783691,
0.18283846974372864,
0.4706084728240967,
0.15868687629699707,
-0.06716061383485794,
-0.12338176369667053,
-0.8509752750396729,
-0.3307248950... |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
One example: This is my go to place to get the best chicken Pad Thai! Also the price is super good, considering... | POSITIVE | 6 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-1.2253386974334717,
-0.3803214430809021,
0.1429920643568039,
0.04639413580298424,
0.45677435398101807,
-0.8584665656089783,
0.30219921469688416,
1.398275375366211,
-0.03908369690179825,
0.06665468215942383,
0.046032413840293884,
0.5534130334854126,
-0.54280686378479,
0.36623942852020264,
... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Example Input: Dialogue 1: 'why are you ashamed coz you cant coz you are just an ai u is blaming ev... | no
| 3 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.14230170845985413,
0.30697235465049744,
0.3685142993927002,
-0.34819936752319336,
0.014916975982487202,
-0.2683280110359192,
1.1445375680923462,
0.26827773451805115,
0.03462029993534088,
-0.38297080993652344,
-0.13136310875415802,
-0.4613533616065979,
-0.6678667664527893,
-0.07072836160... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
It carried out a consultation process, presented a green paper and a white paper, and undertook in-depth discussions with al... | Комисията проведе консултация, представи Зелена книга и Бяла книга и започна задълбочена дискусия със заинтересованите страни. | 5 | NIv2 | task272_europarl_translation | zs_opt | [
-0.8002333641052246,
0.6933627128601074,
0.2441961020231247,
-0.39488688111305237,
-0.06015068292617798,
0.41835856437683105,
0.5850933790206909,
-0.01906418241560459,
0.7563549280166626,
-0.45335641503334045,
-0.17979979515075684,
1.2083393335342407,
-0.18482348322868347,
0.27944239974021... |
In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
['V', '7443', '7007', 'E', 'k', 'q', '909', 'X', '6217', '1771', '5615', 'C', 'A', 'U', 'd', '9217', 'd', 'N', '6733'] | V, E, k, q, X, C, A, U, d, d, N | 0 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
-0.35871830582618713,
1.0278513431549072,
-0.5277957320213318,
-0.27845627069473267,
-0.6657793521881104,
-0.24876756966114044,
0.9823722839355469,
-0.42903125286102295,
0.13622316718101501,
0.20256657898426056,
0.10591153055429459,
-0.45946449041366577,
-0.12059471011161804,
0.01435598451... |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the endin... | When I looked at my creation I was proud. | 9 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
-0.215302973985672,
0.6081045866012573,
0.191177099943161,
-0.6750799417495728,
-0.5166547298431396,
-0.11547879874706268,
0.5100564956665039,
0.6718378067016602,
-0.18298590183258057,
-0.24364593625068665,
-0.6792685389518738,
0.39671337604522705,
0.07337910681962967,
-0.10403767973184586... |
Detailed Instructions: In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
See one example below:
Problem: Text: quick backstory: i am a duel enrollment stud... | i wasted $40 on a promo, got laughed at, & my apparel was said to look like a trash bag followed by "whaat are thoose" 150+ comments, only gained 15 followers. | 4 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
-0.07817953824996948,
0.4433000087738037,
-0.07796472311019897,
-0.3521696925163269,
0.4427691102027893,
-0.47925519943237305,
0.671518862247467,
0.8419423699378967,
0.19968703389167786,
0.09233970195055008,
-0.5234336256980896,
0.5344664454460144,
-0.6523650884628296,
-0.22879579663276672... |
In this task, you need to reverse the order of words in the given sentence.
[Q]: Sentence: a couple of giraffe standing in a forest next to trees
[A]: trees to next forest a in standing giraffe of couple a
[Q]: Sentence: man sitting at a picnic table near the beach with his lunch
[A]: lunch his with beach the near t... | eaten be to ready and cooked is food the
| 5 | NIv2 | task376_reverse_order_of_words | fs_opt | [
0.09033884853124619,
0.7772225141525269,
-0.31474050879478455,
-1.4192793369293213,
-0.790304958820343,
-0.6903728246688843,
0.8006002306938171,
0.1791929006576538,
0.6226236820220947,
-0.6909040212631226,
-0.29567188024520874,
-0.4354630708694458,
-0.8648519515991211,
0.18391677737236023,... |
Detailed Instructions: In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Problem:Context: A municipality is usually a single urban administrative di... | province of modena | 8 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.6242045164108276,
0.5315341949462891,
0.19096031785011292,
0.6224364638328552,
0.6508758068084717,
-0.6832244396209717,
0.728827714920044,
1.2743337154388428,
0.22996285557746887,
0.13773323595523834,
0.10967905074357986,
0.8951307535171509,
-0.5000066757202148,
-0.13620534539222717,
0... |
In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
One example: Tracy slept awkwardly on their new bed and was having some pain, so Tracy cracked her neck.
Solution is here: What did Tracy do with her neck?
Explanation: The... | Who won the game? | 6 | NIv2 | task596_mocha_question_generation | fs_opt | [
0.19017712771892548,
1.0322725772857666,
-1.3077503442764282,
0.7370556592941284,
-0.11595974862575531,
-0.3609086275100708,
0.8758967518806458,
0.4553864002227783,
0.5408584475517273,
-0.3154939115047455,
-0.5735208988189697,
0.7427192330360413,
-0.8361896276473999,
0.24368888139724731,
... |
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... | original network | 8 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.38641881942749023,
0.2496478408575058,
0.032892752438783646,
-0.4845949411392212,
0.4810416102409363,
0.9238353371620178,
0.3916594386100769,
0.9131431579589844,
-0.12749777734279633,
-0.164758563041687,
0.7607848644256592,
0.4691910743713379,
-1.4401885271072388,
0.11878980696201324,
... |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closes... | Sci/Tech | 0 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.558303713798523,
0.13697724044322968,
-0.7298459410667419,
0.675503134727478,
0.05612894892692566,
0.19164802134037018,
-0.46931105852127075,
-0.05820654332637787,
0.28842389583587646,
0.3096798062324524,
-0.3647613525390625,
0.07760785520076752,
-0.22505754232406616,
-0.295256078243255... |
TASK DEFINITION: In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then rever... | 3346v9977q7204ou
| 8 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
0.3179801106452942,
0.21644490957260132,
-0.7164808511734009,
-0.4130339026451111,
-0.20566701889038086,
0.4303979277610779,
0.67884361743927,
0.24360531568527222,
-0.3593742847442627,
-0.1098683774471283,
-0.8604831695556641,
0.15397807955741882,
-0.17189687490463257,
-0.1260998547077179,... |
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