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 |
|---|---|---|---|---|---|---|
Detailed Instructions: 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 buildin... | I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_RUN | 8 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.1806868016719818,
0.8889714479446411,
-0.400348961353302,
0.18551655113697052,
-0.08741778135299683,
-0.05282561108469963,
0.12174876034259796,
0.19079288840293884,
-0.053831055760383606,
-0.22999589145183563,
-0.7871696949005127,
-0.2812342047691345,
-0.7145236730575562,
-0.144795134663... |
Definition: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Input: The SIJR model, simplified from the SEIJR model, is adopted to analyze the important parameters of the ... | SARS epidemical forecast research in mathematical model | 2 | NIv2 | task1161_coda19_title_generation | zs_opt | [
-0.2543168365955353,
-0.16944029927253723,
-0.44951969385147095,
0.08555373549461365,
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-0.4756982624530792,
0.6632537841796875,
0.6890876293182373,
-0.61533522605896,
0.9217561483383179,
-0.8248035311698914,
1.0921941995620728,
-0.06594661623239517,
0.7127472758293152,
... |
Instructions: Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Input: Had to replace the batteries before even using it. Don't think this wil... | Bad review | 3 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.3077313303947449,
0.4525112509727478,
-0.634056806564331,
-0.20365232229232788,
0.22775474190711975,
-1.2283110618591309,
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-0.1564791053533554,
0.2109750658273697,
-0.27265143394470215,
-0.26542431116104126,
... |
Given the task definition, example input & output, solve the new input case.
Given a hotel review and the corresponding polarity of review (i.e., Negative or Positive) identify if the polarity is correct. Write 'true' if it's correct, 'false' otherwise.
Example: Review: I stayed at the Hilton Chicago for my cousins wed... | false | 1 | NIv2 | task903_deceptive_opinion_spam_classification | fs_opt | [
0.010222507640719414,
-0.3237608075141907,
-1.000990867614746,
0.7387681007385254,
0.08062059432268143,
-0.6152053475379944,
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0.23848968744277954,
0.1895603984594345,
-0.13323695957660675,
0.2549309730529785,
... |
Teacher: 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 t... | Neutral | 2 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
-0.15808264911174774,
0.6470413208007812,
0.3298832178115845,
0.6993416547775269,
-0.4907718896865845,
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-0.4926645755767822,
0.056104183197021484,
-0.09921831637620926,
-0.261214405298233... |
Part 1. Definition
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Part 2. Example
Comment: President lied under oath ... | Sexual-explicit | 7 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.6577572822570801,
0.19510483741760254,
0.17672041058540344,
0.6287510395050049,
0.2857326865196228,
-0.43716782331466675,
0.27452370524406433,
0.5300456881523132,
-0.2065710425376892,
0.5092644095420837,
0.4363715946674347,
0.19825533032417297,
0.1320750117301941,
-0.7561022043228149,
... |
Instructions: Translate from English to Hindi.
Input: The boys always go fishing with first-timers.
Output: | लड़के हमेशा नयों का शिकार करते हैं. | 3 | NIv2 | task1329_open_subtitles_en_hi_translation | zs_opt | [
-0.30616047978401184,
-0.16272632777690887,
-1.4707798957824707,
-0.2782538831233978,
-0.19180241227149963,
-0.4219687581062317,
0.6181445717811584,
-0.06182718649506569,
-0.12499240785837173,
0.0563025176525116,
-0.42715445160865784,
-0.46314436197280884,
-0.404004842042923,
0.22851723432... |
TASK DEFINITION: In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial... | electronics
| 8 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
-0.18428385257720947,
-0.25352972745895386,
-0.7686789035797119,
0.04941651225090027,
0.382789671421051,
0.3277737498283386,
0.2574189603328705,
0.6792848706245422,
-1.031727910041809,
0.688926100730896,
-0.13406656682491302,
0.36740297079086304,
-0.2787269949913025,
-0.6455869674682617,
... |
In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
Love this snack. Its really tasty. Filling for my wife, not me though..."I'll take 2 please" =)
Summary: Seemingly impossible...
False
I had t... | False
| 0 | NIv2 | task590_amazonfood_summary_correction_classification | fs_opt | [
0.08000222593545914,
0.14882850646972656,
-0.5375025868415833,
0.33439332246780396,
0.09682619571685791,
-0.16105729341506958,
0.8595616221427917,
1.0670039653778076,
-0.29997891187667847,
-0.15500012040138245,
-0.3291653096675873,
-0.32519644498825073,
-0.4134927988052368,
-0.760978996753... |
Q: 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.
concept: Pittsburgh Steelers question: what years the steelers won the super bowl?
A: | ['Super Bowl IX', 'Super Bowl XLIII', 'Super Bowl X', 'Super Bowl XL', 'Super Bowl XIV', 'Super Bowl XIII'] | 7 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
-0.1352165937423706,
1.0438035726547241,
-0.9203797578811646,
0.9817143678665161,
0.315374493598938,
-0.7382783889770508,
0.33404600620269775,
0.3472350239753723,
0.49009209871292114,
0.1410028040409088,
-0.3306674361228943,
0.08649496734142303,
-0.486244261264801,
0.06400606036186218,
0... |
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Solution: Il gioco degli scacchi è giocato su un pezzo di scacchi. | 5 | NIv2 | task408_mickey_it_sentence_perturbation_generation | fs_opt | [
0.10188039392232895,
0.25960052013397217,
-0.5153207182884216,
0.3134324550628662,
-0.3600281774997711,
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1.107881784439087,
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-0.7772484421730042,
0.33839917182922363,
-0.3340156078338623,
0.14477461576461792,
... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Credo ci sia un vero pericolo di non vedere veramente il mare, e se non lo vediamo veramente, se non ha la sua propria iconografia, se ci perdiamo la sua maestosità, al... | پس فکر می کنم این خطر واقعی هست که ما هرگز واقعا دریا را نبینیم و اگر واقعا آن را نبینیم ، اگر نگاره شناسی خودش را نداشته باشد ، اگر شکوه آن را از دست دهیم ، خطر بزرگی است که آن را بدیهی فرض می کنیم. | 5 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
-0.7566326260566711,
0.895197868347168,
-0.3678361177444458,
-0.6466944217681885,
-0.5850340127944946,
-0.2615217864513397,
0.25488191843032837,
0.749383807182312,
0.2917358875274658,
0.09383516013622284,
-0.3633807301521301,
0.23906481266021729,
-0.6274309158325195,
0.27043968439102173,
... |
In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8, 16, 32, 64, ... | [128, 32, 4096, 4096, 16, 64, 4, 256, 2048, 4096]
****
| 4 | NIv2 | task1444_round_power_of_two | fs_opt | [
-0.05334794521331787,
0.6406596899032593,
-0.2867603302001953,
-0.17091110348701477,
0.00209230394102633,
-0.00674471165984869,
0.772614598274231,
0.47679391503334045,
-0.287514328956604,
0.04518657550215721,
-0.9939372539520264,
0.5554447770118713,
-0.4059523046016693,
-0.2297220528125763... |
Teacher: In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Abstract: This study was designed to ... | yes | 2 | NIv2 | task1587_scifact_classification | fs_opt | [
0.5710590481758118,
0.1426047533750534,
-0.773421049118042,
0.6405510306358337,
0.8026847839355469,
-0.2004220187664032,
0.5036043524742126,
0.940658688545227,
0.2508857548236847,
-0.013859220780432224,
-0.5867236852645874,
0.11618557572364807,
-0.4780290424823761,
-0.22868892550468445,
... |
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... | award received
****
| 4 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.2869952321052551,
0.466871976852417,
-0.10887069255113602,
-0.2220352441072464,
0.18316806852817535,
-0.03330867737531662,
-0.47061729431152344,
0.719835638999939,
0.17748354375362396,
0.06270751357078552,
0.041574474424123764,
0.38692981004714966,
-0.5124272108078003,
0.0920447260141372... |
Part 1. Definition
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Part 2. Example
i don't work i could take your shift i am a student
Answer: other
Explanation: In this dialogue someone is informing anot... | happy | 7 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-0.9248624444007874,
0.6081580519676208,
0.44694241881370544,
-1.022531270980835,
-0.16101591289043427,
0.008006630465388298,
0.6215976476669312,
0.0698966234922409,
0.6171321868896484,
-0.41662925481796265,
0.016956761479377747,
-0.38919126987457275,
-0.4190387725830078,
0.004962732084095... |
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 concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j... | u2951qk8515g3119e1773t75297067Q31514557
| 3 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
-0.00028427434153854847,
-0.2074062079191208,
-0.4135880172252655,
-0.19500592350959778,
-0.2658640444278717,
-0.6430819034576416,
0.9869440793991089,
0.306873619556427,
-0.6381533741950989,
0.3263498544692993,
-0.7566599249839783,
0.33022361993789673,
-0.11345444619655609,
0.0832863748073... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
É basicamente un caldeiro que rota.
Solution: ويوجد أساسا مرجل دوار.
Why? The Galician sentence is c... | من الواضح الآن لا يستطيع السائق أن يرى ، لذا النظام يحتاج إلى إدراك البيئة وجمع المعلومات للسائق. | 0 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
-0.7048506736755371,
0.0033775661140680313,
0.22219714522361755,
-0.5648729205131531,
-0.07077589631080627,
0.4512326717376709,
0.8434194922447205,
-0.08889821916818619,
-0.12390097975730896,
-0.24897129833698273,
-0.211586594581604,
-0.652327299118042,
-0.45446646213531494,
0.555204927921... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: પ્રધાનમંત્રી શ્રી નરેન્દ્ર મોદી 2 ફેબ્રુઆરી, 201નાં રોજ પશ્ચિમ બંગાળમાં દુર્ગાપુર જશે.
A: | نئی دہلی،یکم فروریوزیراعظم جناب نریندر مودی 2فروری 2019 میں مغربی بنگال میں واقع دُرگا پور کا دورہ کریں گے۔ | 9 | NIv2 | task1001_pib_translation_gujarati_urdu | zs_opt | [
0.23321124911308289,
-0.3683275878429413,
-0.2909243404865265,
-0.4998333156108856,
-0.7904613614082336,
-1.5518773794174194,
0.40638989210128784,
-0.001004320103675127,
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-0.45302614569664,
-0.4965243339538574,
0.16848844289779663,
0.9495230317115784,
-0.240159153938293... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Personality: I do not like... | What is wrong? I usually only stay in bed for a long time when raining! | 6 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.12461186945438385,
0.7215057015419006,
-0.39574259519577026,
-0.3169146478176117,
-0.3330588936805725,
-0.4610265791416168,
1.099170446395874,
0.22239938378334045,
-0.4033139646053314,
-0.5021399855613708,
-0.17765158414840698,
-0.6313130259513855,
-0.0963839441537857,
-0.81261098384857... |
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
--------
Question: why it just feels wrong don't u feel like fucking me
Answer: angry
Question: byloudlycryingfaceloudlycryingfaceloudlycryingfaceloudlyc... | sad
| 7 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-0.5394983291625977,
0.7405400276184082,
0.7535149455070496,
-0.4519293010234833,
0.040534257888793945,
-0.8319953680038452,
0.10794803500175476,
0.4909052848815918,
0.20654630661010742,
0.11197781562805176,
-0.13700544834136963,
-0.23688873648643494,
-1.046083688735962,
-0.374285221099853... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual ma... | Sexual-explicit | 1 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.7792679071426392,
0.11796225607395172,
0.22579658031463623,
0.13726285099983215,
0.4248558282852173,
-0.1123633161187172,
0.3747641146183014,
1.046224594116211,
0.36288750171661377,
0.520876944065094,
0.27319765090942383,
-0.06821825355291367,
0.24408459663391113,
-0.924541711807251,
... |
You are given a sentence from a conversation between a human and a virtual assistant. Your task is to identify whether the sentence is a question or not. Answer with Yes or No.
Q: Ok. Please confirm. Booking a table in San Jose Dynasty restaurant for 2 people on March 12th at 7:15 pm.
A: No
****
Q: Which city should ... | No
****
| 4 | NIv2 | task879_schema_guided_dstc8_classification | fs_opt | [
-0.07600647211074829,
0.4723259210586548,
0.3509231507778168,
0.8083129525184631,
-0.7144829034805298,
-0.3701009154319763,
0.7886200547218323,
0.7785830497741699,
0.0642719566822052,
0.372097909450531,
1.1998530626296997,
0.028697874397039413,
-0.5507067441940308,
-0.3317168354988098,
0... |
instruction:
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
question:
Some of the most well-known examples of free softwa... | しかし彼らは、ミート・ローフが1時間以上演奏したので、ファンが37.5ポンドから45ポンドのチケット代金の返金を受けられる可能性は低いと言った。
| 9 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
0.22937563061714172,
-0.43729692697525024,
-0.37376677989959717,
-0.027056224644184113,
0.7629493474960327,
0.12596938014030457,
-0.027184918522834778,
0.29079604148864746,
0.4150473475456238,
-0.28922510147094727,
-0.11622638255357742,
0.3578539490699768,
-0.28263527154922485,
-0.01913853... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
أنظروا إلى كيف تبدو صورة نشاط العقل.
Output: | תסתכלו איך פעילות של מוח עשויה להיראות. | 1 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.3702520728111267,
0.42290258407592773,
0.022939002141356468,
-0.44245603680610657,
-0.7556749582290649,
0.6971869468688965,
0.8685881495475769,
0.09635269641876221,
0.9955257177352905,
-0.5546194314956665,
-0.5884422063827515,
-0.37272587418556213,
-0.41072899103164673,
0.24823473393917... |
In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
--------
Question: In 1934 , Wilder c... | Not paraphrase
| 7 | NIv2 | task400_paws_paraphrase_classification | fs_opt | [
-0.03170515596866608,
0.27529847621917725,
-0.6328935623168945,
-0.4653218984603882,
-0.0005812728777527809,
-0.6399362087249756,
0.7400808334350586,
0.11175820231437683,
0.008711048401892185,
-0.2766711115837097,
-0.14420151710510254,
0.2924887537956238,
-0.4151093363761902,
0.20768088102... |
TASK DEFINITION: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
P... | 1, 3, 4, 6, 7, 8, 9, 11, 12, 13, 17, 19, 20, 24, 25, 26, 28
| 8 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
0.16162320971488953,
-0.00913899764418602,
-0.4956515431404114,
-0.35539042949676514,
0.14476296305656433,
-0.10945725440979004,
1.0713595151901245,
0.5257625579833984,
-0.43071863055229187,
0.18038830161094666,
-0.7202933430671692,
0.3630099594593048,
-0.612401008605957,
0.124012760818004... |
Detailed Instructions: You are given two sentences. You have to find if there is entailment or agreement of the Hypothesis by the Premise. From the given pair of sentences, you should identify if there is enough information in the Premise to support the claim made in the Hypothesis. The Premise may not exactly be the s... | neutral | 9 | NIv2 | task1529_scitail1.1_classification | zs_opt | [
-0.42328211665153503,
0.24145051836967468,
-0.007145994808524847,
-0.20743322372436523,
-0.14692766964435577,
-0.8864750862121582,
0.6297944188117981,
0.49719560146331787,
0.5082016587257385,
0.05603009834885597,
-0.11822202801704407,
0.1455310881137848,
-0.5060584545135498,
0.246432617306... |
Given the task definition and input, reply with output. You are given a sentence in English. Your job is to translate the English sentence into Portugese.
How are people actually going to use this?
| Como é que as pessoas vão usar isto, na realidade? | 5 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
-0.6339361667633057,
0.9276445508003235,
0.1412963569164276,
-0.3997528851032257,
0.016610058024525642,
-0.7558667659759521,
-0.6292352080345154,
0.5200101137161255,
0.743340790271759,
-0.11793531477451324,
-0.5317912101745605,
0.867048978805542,
0.05786982923746109,
-0.1844412386417389,
... |
In this task, you are given a movie review in Persian, and you have to extract aspects of the movie mentioned in the text. We define aspects as music(موسیقی), directing(کارگردانی), screenplay/story(داستان), acting/performance(بازی), cinematography(فیلمبرداری), and scene(صحنه). Although there might be multiple aspects i... | داستان
| 7 | NIv2 | task528_parsinlu_movie_aspect_detection | fs_opt | [
-0.4641786813735962,
0.6181423664093018,
-0.40851789712905884,
0.2809522747993469,
-0.5771352052688599,
0.5404802560806274,
0.9588882923126221,
0.6445704698562622,
0.15018624067306519,
0.4872504770755768,
-0.37078166007995605,
-0.27413904666900635,
-0.017917662858963013,
0.3219164609909057... |
Teacher:Given a sentence in Vietnamese, generate a new Vietnamese 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 proba... | Bạn có thể tìm thấy một cái kim ở chợ. | 6 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
-0.46717873215675354,
-0.042712435126304626,
0.0745578408241272,
0.13118761777877808,
-0.260847270488739,
-0.8509612083435059,
0.21045568585395813,
1.6657464504241943,
-0.18996134400367737,
0.04242558032274246,
-0.6971318125724792,
0.263896644115448,
-0.35652321577072144,
-0.43741273880004... |
Definition: The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Input: name[xname], recommend[yes], cuisine[Italian], decor[good], qual[fantastic], location[Manhattan], price[expensive], service[good... | I would consider xname since it is an Italian restaurant and pricey with nice service and good decor and it is in Manhattan. it has delicious food. | 2 | NIv2 | task1598_nyc_long_text_generation | zs_opt | [
-0.3260229825973511,
0.5294015407562256,
-0.5589430332183838,
0.09955134242773056,
-0.3473517894744873,
-0.043377671390771866,
0.3834019899368286,
0.4023926258087158,
0.05173788219690323,
-0.072773776948452,
0.04793914407491684,
-0.30895766615867615,
-0.48180314898490906,
0.354001104831695... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | Quantity | 0 | NIv2 | task1289_trec_classification | zs_opt | [
-0.07901065051555634,
-0.07732191681861877,
0.12734654545783997,
0.30820104479789734,
0.09518174827098846,
-0.9139319658279419,
0.28903910517692566,
-0.18939751386642456,
-0.041388966143131256,
-0.007955223321914673,
-0.8008859157562256,
-0.1684412658214569,
-0.4812762141227722,
-0.0114577... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
[Q]: Who had a 2000 hit with Country Grammar?
[A]: country grammar
[Q]: Which English king was married to Eleanor of Castile?
[A]: eleanor of castile
[Q]: Baja California is part of which cou... | baja california
| 5 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.23693154752254486,
1.1140403747558594,
-0.0642835944890976,
-0.22412633895874023,
-0.35150015354156494,
-1.0600672960281372,
0.701714277267456,
0.26316526532173157,
-0.23496535420417786,
-0.49989810585975647,
0.0916106328368187,
0.8871877193450928,
-0.6130930781364441,
-0.373283445835113... |
A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with the list of its ... | 26
| 1 | NIv2 | task090_equation_learner_algebra | fs_opt | [
0.1954750120639801,
0.7207514047622681,
-0.860264778137207,
-0.6021867990493774,
-0.41072291135787964,
-0.3980807065963745,
0.9545329213142395,
1.0945074558258057,
-0.02562306448817253,
-0.9645496606826782,
-0.6942188739776611,
0.8938523530960083,
-1.2092541456222534,
0.20935826003551483,
... |
Detailed Instructions: Given a sentence in Vietnamese, generate a new Vietnamese 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 r... | Một bình xăng có thể dính vào một cái lọ nếu khí ga được làm nguội vừa đủ. | 8 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
0.16138380765914917,
0.3352370858192444,
0.41310006380081177,
-0.658863365650177,
-0.22034180164337158,
-0.9722556471824646,
0.394567608833313,
1.2513859272003174,
-0.43923115730285645,
0.2521691918373108,
-0.22100894153118134,
-0.45774340629577637,
-0.5824596881866455,
0.2642964720726013,... |
Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thou... | no
| 0 | NIv2 | task361_spolin_yesand_prompt_response_classification | fs_opt | [
0.5611073970794678,
0.4353434443473816,
0.3919920027256012,
0.36098793148994446,
0.019450439140200615,
-0.6832461953163147,
0.04268854483962059,
0.8017914891242981,
0.06380786001682281,
-0.20566047728061676,
-0.5925341844558716,
0.09408455342054367,
-0.48611360788345337,
0.1506627798080444... |
Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
Q: Text: 'Bonne Chance!'
A: | French | 4 | NIv2 | task896_miam_language_classification | zs_opt | [
-0.045104753226041794,
0.8222829103469849,
0.8455440998077393,
-0.42625731229782104,
-0.21365585923194885,
-0.3198816180229187,
0.6546311974525452,
0.10752665996551514,
0.34575748443603516,
-0.07290824502706528,
-0.2130955159664154,
0.15775883197784424,
-0.005388947203755379,
-0.2595163583... |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Let me give you an example: The sound seems really good but sometimes it cuts in and out wh... | Bad review | 8 | NIv2 | task929_products_reviews_classification | fs_opt | [
-0.5221757888793945,
0.036143139004707336,
-0.40539461374282837,
-0.045953307300806046,
0.5284945964813232,
-0.766569197177887,
1.2013447284698486,
0.6484894752502441,
-0.20842842757701874,
0.937828779220581,
0.24660097062587738,
0.5812602639198303,
-0.45948323607444763,
-0.210978239774703... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possibl... | Alex comes in last place >Causes/Enables> Alex feels shame | 1 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
-0.13996455073356628,
0.023949282243847847,
0.34237802028656006,
-0.3223881125450134,
0.031094536185264587,
-0.5956105589866638,
0.6200830936431885,
0.7134379744529724,
-0.060412079095840454,
0.23700396716594696,
-0.7735971808433533,
-0.22600789368152618,
-0.2009810507297516,
-0.3313237428... |
Teacher: This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete ju... | used to refer in general to any belief in a god or gods | 2 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
1.16191565990448,
0.013362177647650242,
-0.13511428236961365,
0.001128984265960753,
0.26706087589263916,
-1.1939749717712402,
0.758413553237915,
0.8368988037109375,
0.1066083163022995,
0.13410373032093048,
-0.09457149356603622,
0.202464297413826,
-0.7672234773635864,
-0.059755049645900726,... |
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
[Q]: Review: Like ever... | False
| 5 | NIv2 | task494_review_polarity_answer_generation | fs_opt | [
0.03137091547250748,
-0.38177698850631714,
-0.2669753134250641,
-0.3417910039424896,
0.6651607751846313,
-0.7454224824905396,
0.7131831049919128,
0.3732530176639557,
-0.21047380566596985,
-0.18059340119361877,
0.0011527873575687408,
0.0742090493440628,
-0.14747759699821472,
-0.318882316350... |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Somali sentence: 6 Markaasay Deliilaah Samsoon ku tidhi, Waan ku baryayaaye ii sheeg meesha xooggaaga weynu kaaga jiro, oo maxaa lagugu xidhi karaa si laguu saxariiriyo. | 6 And Dalila said to Samson: Tell me, I beseech thee, wherein thy greatest strength lieth, and what it is wherewith if thou wert bound thou couldst not break loose. | 0 | NIv2 | task450_opus_paracrawl_so_en_translation | zs_opt | [
1.2719132900238037,
1.3398807048797607,
0.5225011110305786,
-1.1115851402282715,
-1.1085543632507324,
-1.3703222274780273,
-0.20674650371074677,
0.23853057622909546,
0.6920925974845886,
-0.7430037260055542,
0.09818887710571289,
1.1600630283355713,
-1.0498037338256836,
-0.12299072742462158,... |
Instructions: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Input: Tit... | 42315 | 3 | NIv2 | task217_rocstories_ordering_answer_generation | zs_opt | [
0.004687538370490074,
-0.1271297037601471,
0.5464856624603271,
-0.48740389943122864,
0.1776672601699829,
-0.33850741386413574,
-0.12837791442871094,
0.556795597076416,
-0.28218621015548706,
0.36818379163742065,
-0.6456954479217529,
-0.25002142786979675,
-1.1578558683395386,
0.1388366818428... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech t... | Punc Int Punc Pron V Pron Adj N Punc Pron Adj N Punc | 0 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | fs_opt | [
0.11702099442481995,
0.7156531810760498,
0.022587720304727554,
-0.11501907557249069,
-0.3419266939163208,
-0.2180294692516327,
0.6811539530754089,
0.020092377439141273,
0.3630797564983368,
-0.40506792068481445,
-0.3106086254119873,
0.263336181640625,
-0.4827038645744324,
0.5344811677932739... |
A text is given in Bengali. Translate it from the Bengali language to the Gujarati language. The translation must not omit or add information to the original sentence.
લોકશાહી અને શિક્ષણ બંનેનો આશય આપણને મુક્ત રાખવાનો છે. | গণতন্ত্র ও শিক্ষা আমাদের মুক্ত চিন্তায় সাহায্য করে। | 0 | NIv2 | task1068_pib_translation_gujarati_bengali | zs_opt | [
-0.6231821775436401,
0.271595299243927,
0.07295232266187668,
-0.5562987327575684,
-0.23893585801124573,
-0.834479570388794,
0.7019051313400269,
-0.1273731291294098,
-0.21064406633377075,
-0.9429032206535339,
-0.1142997071146965,
-0.5286550521850586,
-0.6183611154556274,
0.2837409973144531,... |
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 even 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 even numbers in an inner list you sho... | Solution: [-8, 0, 1840, 48, 6912, 336, 0, 896, -1216, 309120, 10800] | 5 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
0.2791314423084259,
-0.32894080877304077,
-0.8113332986831665,
0.07364337146282196,
0.38657861948013306,
-0.5374206304550171,
0.9573153853416443,
0.637419581413269,
-0.413931667804718,
-0.2978367507457733,
-0.8192672729492188,
0.016736600548028946,
-0.4251047372817993,
-0.17767968773841858... |
Detailed Instructions: Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop ... | echinoids | 8 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
-0.0412469282746315,
0.5011702179908752,
-0.3465927839279175,
0.0377710685133934,
-0.11445798724889755,
-0.7227863073348999,
0.1741892695426941,
0.16948828101158142,
-0.2745102047920227,
-0.5918909311294556,
-0.012383890338242054,
-0.3082060217857361,
-0.7336008548736572,
0.207471728324890... |
Detailed Instructions: In this task, you will be presented with a question in Persian. Based on the knowledge you need to answer the question, classify the question into "math_and_logic", "literature", or "common_knowledge".
Problem:مرتفع ترین آبشار جهان کدام است؟
Solution: | common_knowledge | 8 | NIv2 | task474_parsinlu_mc_classification | zs_opt | [
-0.870138943195343,
0.7742801904678345,
0.6625969409942627,
0.16028788685798645,
-0.26858776807785034,
-0.26151615381240845,
0.15159660577774048,
0.038603223860263824,
0.7348417639732361,
-0.6280204057693481,
-0.6044324636459351,
0.024324219673871994,
-0.6644926071166992,
0.319506943225860... |
Instructions: In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Input: [1... | [574, 316] | 3 | NIv2 | task206_collatz_conjecture | zs_opt | [
-0.6721166968345642,
0.5754363536834717,
-0.40299588441848755,
-0.7250220775604248,
-0.30900290608406067,
-0.007509863935410976,
1.0965863466262817,
0.036825474351644516,
-0.09306543320417404,
0.5637949705123901,
-0.9974756836891174,
-0.5049021244049072,
-0.35655340552330017,
-0.4368935823... |
Given the task definition and input, reply with output. In this task, you are given a sentence in Persian, and your task is to translate it into English.
سرشير .
| butterfat . | 5 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-1.4106651544570923,
0.9330416917800903,
0.01477919239550829,
-0.04078483581542969,
-0.021476788446307182,
0.533272385597229,
0.30174243450164795,
-0.14280202984809875,
0.6262969970703125,
0.3039855360984802,
-0.04955707862973213,
0.6988124847412109,
-0.5485405921936035,
0.1804769039154052... |
Instructions: In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Input: I am very tired.
Output: | Long week? | 3 | NIv2 | task568_circa_question_generation | zs_opt | [
-0.36384880542755127,
1.4010897874832153,
-0.7106341123580933,
-0.3986777067184448,
-0.2897579073905945,
-1.7115821838378906,
0.20682469010353088,
0.5783200860023499,
0.05041634291410446,
-0.24270108342170715,
-0.898231029510498,
-0.1412661075592041,
-0.9004452228546143,
-0.059327058494091... |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your choice as `a` for Yes or... | b | 0 | NIv2 | task232_iirc_link_number_classification | zs_opt | [
0.9463759064674377,
-0.14186294376850128,
-0.3471735119819641,
0.32098105549812317,
0.14614897966384888,
-1.143730640411377,
0.25159430503845215,
0.9331992268562317,
0.09095961600542068,
0.6480560898780823,
0.16916847229003906,
0.4039815068244934,
-0.5491607785224915,
0.17956650257110596,
... |
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 need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a c... | PRON | 0 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.7149380445480347,
0.25658392906188965,
0.29572516679763794,
-0.05019310861825943,
0.11721818894147873,
-0.5979458093643188,
1.1242835521697998,
0.8170175552368164,
-0.7978135347366333,
-0.37742823362350464,
-0.43270882964134216,
0.20956385135650635,
-0.47159650921821594,
0.41575181484222... |
Teacher:You will be given a context and a verb separated with a newline character, and you have to answer if the given verb can be anchored in time or not. We say a verb can be anchored in the real timeline if and only if a verb happened in the past, is happening now, or is guaranteed to happen in the future. The outpu... | Yes | 6 | NIv2 | task383_matres_classification | zs_opt | [
0.2831887900829315,
0.9802852869033813,
0.32162946462631226,
0.03951957821846008,
-1.0274968147277832,
0.25213944911956787,
0.253728449344635,
1.1291491985321045,
-0.3638327717781067,
-0.07867065072059631,
0.29187625646591187,
0.22341862320899963,
-0.31128937005996704,
0.3840416669845581,
... |
Teacher:You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then w... | acceptable | 6 | NIv2 | task616_cola_classification | zs_opt | [
-0.634867787361145,
0.37099459767341614,
1.0976901054382324,
-0.15627622604370117,
0.0590258352458477,
-1.055800437927246,
0.20798200368881226,
0.4772622585296631,
0.5571072101593018,
0.060081809759140015,
-0.4076809287071228,
-0.022593144327402115,
-0.4267992377281189,
-0.1515852510929107... |
A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: നമ്മുടെ രാഷ്ട്രത്തെ പുതിയ രീതിയില് നിര്മ്മിക്കുന്നതിനും, സങ്കല്പിക്കുന്നതിനും നമുക്ക് സ്വാതന്ത്ര്യം ലഭിച്ചു.
A: | आता आपण एका नवीन राष्ट्राची कल्पना करण्यासाठी आणि ती साकार करण्यासाठी स्वतंत्र होतो. | 4 | NIv2 | task1071_pib_translation_malayalam_marathi | zs_opt | [
0.7237619161605835,
1.0406222343444824,
0.716270923614502,
-0.4249963164329529,
0.233123779296875,
-1.9095001220703125,
0.29267406463623047,
0.7507390379905701,
0.047726429998874664,
-0.30852019786834717,
-0.5851783752441406,
-0.5162910223007202,
-0.31036001443862915,
-0.2228090614080429,
... |
In this task, you will be presented with a question having multiple possible answers in Spanish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
[EX Q]: Question: ¿Qué necesita hacer la gente para cambiar sus vidas?
Options: A mejorarse a ... | D
| 6 | NIv2 | task1131_xcsr_es_commonsense_mc_classification | fs_opt | [
0.022318989038467407,
0.10218691825866699,
-0.13816095888614655,
0.12343139946460724,
0.10874902456998825,
-0.7560293674468994,
0.6593202948570251,
1.470410943031311,
-0.7665923833847046,
-0.2920295298099518,
-0.509162187576294,
-0.029509980231523514,
-0.16523876786231995,
-0.5778996944427... |
instruction:
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an indi... | green_drawer
| 9 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
0.10484299063682556,
-0.3285670876502991,
-1.2919631004333496,
-0.5306322574615479,
-0.5685338973999023,
-0.6562769412994385,
0.06635398417711258,
0.9913903474807739,
-0.13405436277389526,
-0.06596504151821136,
-0.3798517882823944,
0.6269217729568481,
0.1339794099330902,
-0.206942349672317... |
Definition: In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Input: Sentence-1: If I work overtime.<sep>Sentence-2: I can afford the expensive rent .
Output: | Yes | 2 | NIv2 | task566_circa_classification | zs_opt | [
-0.5374061465263367,
0.4837143123149872,
0.5258886814117432,
0.4237597584724426,
0.3852490186691284,
-0.43336233496665955,
0.13890768587589264,
1.172400951385498,
0.3202354311943054,
0.10156159847974777,
-0.2872125506401062,
-0.4742696285247803,
-0.8219580054283142,
-0.49264708161354065,
... |
In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
--------
Question: ACTION1: not being the perfect housewife ACTION2: pretending to be friend... | no
| 7 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | fs_opt | [
-0.040820784866809845,
0.34539559483528137,
-0.08127149939537048,
0.6700400114059448,
-0.07444365322589874,
-0.8604015111923218,
0.28233200311660767,
0.39753085374832153,
-0.04870712012052536,
0.6857156157493591,
-0.16293708980083466,
-0.48882919549942017,
-1.0695128440856934,
-0.801244080... |
In this task, you need to count the number of nouns/verbs in the given sentence.
Q: Sentence: 'A red open fire hydrant spewing water from it'. Count the number of verbs in this sentence.
A: | 1 | 4 | NIv2 | task155_count_nouns_verbs | zs_opt | [
-0.3401228189468384,
1.212691307067871,
-0.6268056631088257,
-0.2999885678291321,
-0.9806078672409058,
-0.9667912721633911,
0.058787357062101364,
0.6726375818252563,
-0.00897764042019844,
-1.0369148254394531,
-1.382735252380371,
-0.7656413316726685,
-0.2637079358100891,
0.02375911921262741... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be ... | 160.099 | 1 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.4780838191509247,
0.3201420307159424,
-1.2920329570770264,
-0.8196889162063599,
0.21642456948757172,
0.6498557925224304,
0.47623640298843384,
0.36655449867248535,
0.04869641363620758,
0.025714203715324402,
-0.8807271718978882,
0.5356420278549194,
-0.34919631481170654,
-0.110743656754493... |
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: It is still unknown to NASA officials what caused the sensor to becom... | No
| 5 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.9370478987693787,
0.413094699382782,
0.4794859290122986,
-0.13072851300239563,
0.47540009021759033,
-0.8644062280654907,
0.7755450010299683,
0.16526855528354645,
-0.10192221403121948,
0.287625789642334,
0.25794002413749695,
0.4605069160461426,
-0.5345544219017029,
-0.004181262105703354,... |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Example input: Article: australia 's current account deficit shrunk by a record #.## billion dollars -lrb- #.## billion us -rrb- i... | yes | 3 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.24936658143997192,
0.033170849084854126,
-0.12761497497558594,
0.29249194264411926,
-0.42094674706459045,
-0.4586505591869354,
0.33576640486717224,
0.6895700693130493,
-0.24998800456523895,
-0.1056973785161972,
-0.44104093313217163,
0.15065766870975494,
-0.7542492151260376,
0.2197559177... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Ma non è sostenibile e in queste enormi aree di disboscamento hanno bisogno di carne, così i cacciatori pigmei nel bacino del Congo che hanno vissuto lì con il loro me... | Biorą więcej, niż las wytwarza, a bazy zajmujące się wycinką drzew także chcą mięsa, więc myśliwi Pigmeje z Dorzecza Kongo, którzy żyli w cudownej harmonii z naturą przez setki lat, stają się teraz skorumpowani. | 5 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
-0.8535957336425781,
1.1392155885696411,
-0.10954906046390533,
-0.30493542551994324,
-0.6942039132118225,
-0.5857807397842407,
0.6373686194419861,
-0.573453426361084,
-0.4500093460083008,
-0.13654376566410065,
-0.47568780183792114,
0.17250937223434448,
-0.5433024168014526,
0.42486637830734... |
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 even 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 even numbers in an inner list you sho... | [80, 66528, -3312, 600, -704, -34, 20, -480, -7680] | 4 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
-0.5932868123054504,
0.6493435502052307,
-0.7310559749603271,
-0.47795748710632324,
-0.17530205845832825,
-0.13000702857971191,
1.1834230422973633,
0.050697918981313705,
-0.01098533347249031,
-0.12263201177120209,
-0.8620370030403137,
0.38995790481567383,
-0.7973388433456421,
-0.3100838065... |
Instructions: The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
Input: Topic: We should prohibit women in combat<sep>Argument: Pr... | False | 3 | NIv2 | task1285_kpa_keypoint_matching | zs_opt | [
-0.17523452639579773,
0.7496799230575562,
-0.4763791263103485,
-0.2661168575286865,
-0.007993161678314209,
-0.46335694193840027,
-0.19056302309036255,
0.5085934400558472,
0.7817678451538086,
0.3507635295391083,
-0.7471369504928589,
-0.13463786244392395,
-0.3544839918613434,
-0.419180929660... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such referen... | What represents a fused tradition of European and Mediterranean cultures? | 1 | NIv2 | task001_quoref_question_generation | zs_opt | [
0.531975269317627,
0.40156710147857666,
-0.4556504189968109,
0.3525356650352478,
0.10923212021589279,
-1.352737545967102,
0.459614098072052,
0.8382082581520081,
-0.19689974188804626,
-0.00522255152463913,
0.46989697217941284,
0.763297438621521,
-0.7266011238098145,
-0.1020529568195343,
-... |
Definition: In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him,... | What's the full name of the person who tell's Nita's boyfriend that he will die? | 2 | NIv2 | task001_quoref_question_generation | zs_opt | [
0.010586351156234741,
-0.1663515865802765,
-0.3523484766483307,
-0.3433299958705902,
0.3976849317550659,
0.509258508682251,
-0.47762227058410645,
0.263574481010437,
0.17421993613243103,
0.6622003316879272,
-0.20186102390289307,
-0.2055881917476654,
0.2542855143547058,
0.1063273698091507,
... |
Two analogies that relate places/locations to the associated travel mode is given in the form "A : B. C : ?". "A : B" relates place A to travel mode B. Your task is to replace the question mark (?) with the appropriate travel mode for the given place C, following the "A : B" relation.
Ex Input:
france : airplane. park... | car
| 1 | NIv2 | task1154_bard_analogical_reasoning_travel | fs_opt | [
0.415291965007782,
0.8374714255332947,
-1.0470631122589111,
0.3684372305870056,
-0.6454538106918335,
0.536681056022644,
1.2437245845794678,
0.2546437978744507,
0.3386651873588562,
-0.27603116631507874,
-0.3828209340572357,
0.44842642545700073,
0.2726626694202423,
0.24614545702934265,
-0.... |
Teacher: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.
Teacher:... | Dermot ONeill Robert Mitchum is recruited into the Irish Republican Army IRA when a unit is formed in his Northern Ireland town during the Second World War. Reaction to the news is mixed. His mother is strongly against it, while his father Harry Brogan is proud. His brother Ned Niall MacGinnis and sister Bella Marianne... | 6 | NIv2 | task103_facts2story_long_text_generation | zs_opt | [
0.07367400825023651,
1.3236393928527832,
0.061864838004112244,
-0.3101932108402252,
-0.9458166360855103,
-1.1689342260360718,
0.012035004794597626,
0.6605260968208313,
0.3766104280948639,
-0.2319098263978958,
-0.5632066130638123,
-0.19476893544197083,
-1.2997268438339233,
0.066154256463050... |
The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Cr... | Činjenica da ste rođeni, pa živite, i onda umrete, uvijek u tom slijedu, jest zbog povećavajuće entropije. | 0 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.11873625218868256,
0.6777324080467224,
-0.33510494232177734,
0.21944952011108398,
-0.11745516210794449,
-1.1043860912322998,
0.5752453804016113,
-0.1924164891242981,
-0.3254190683364868,
0.1238650381565094,
0.32325229048728943,
-0.06924223899841309,
-0.7218096852302551,
0.18790385127067... |
Detailed Instructions: In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute dist... | 8 | 8 | NIv2 | task1445_closest_integers | zs_opt | [
-1.0778241157531738,
0.4166809320449829,
0.08839374035596848,
-0.464884877204895,
-0.2843819856643677,
-0.2945179343223572,
0.9804748892784119,
0.11984308809041977,
0.3969730734825134,
0.0894569456577301,
-0.4377163350582123,
-0.31367161870002747,
-0.4947330951690674,
-0.2557979226112366,
... |
Teacher:You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Teacher: Now, understand the problem? Solve this instance: Statement: ಅಜಯ್ ಠಾಕೂರ್ (ಜನನ ೧ ಮೇ ೧೯೮೬) ಒಬ್ಬ ವೃತ... | ಭಾರತ | 6 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | zs_opt | [
0.8958117365837097,
0.49735212326049805,
-0.21155187487602234,
-0.7722434997558594,
0.31806784868240356,
-0.45174622535705566,
-0.3502408266067505,
-0.10056982189416885,
-0.4246708154678345,
0.23664966225624084,
-0.20027883350849152,
0.3609514534473419,
-0.5458325743675232,
-0.346364051103... |
Given the task definition, example input & output, solve the new input case.
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.
Example: [1, 2, 3]
Output: [0.167, 0.3... | [ 0.151 -0.006 0.152 0.029 0.164 0.179 0.188 0.203 -0.059] | 1 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.27970749139785767,
0.4711841940879822,
-0.7704111337661743,
-0.18189504742622375,
0.498342901468277,
0.2890912592411041,
0.3401714563369751,
0.6171572804450989,
0.09421870112419128,
0.008862734772264957,
-0.43556249141693115,
-0.11885596811771393,
0.07778126001358032,
-0.319801032543182... |
A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with the list of its ... | 29
| 7 | NIv2 | task090_equation_learner_algebra | fs_opt | [
0.4399782419204712,
0.3891279101371765,
-0.7461383938789368,
-0.4295041561126709,
-0.1290278285741806,
-0.534968912601471,
1.0334523916244507,
0.8818576335906982,
-0.04172675311565399,
-0.8436610698699951,
-0.5758446455001831,
0.4953550398349762,
-1.0425918102264404,
-0.038608651608228683,... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. 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 ... | Output: Katie had never gotten in trouble.
| 2 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
-0.21281996369361877,
0.7227133512496948,
-0.31541529297828674,
-0.03293313831090927,
-0.3561781644821167,
-0.13865676522254944,
0.4273416996002197,
0.7529420852661133,
-0.49782851338386536,
-0.048495445400476456,
0.3148735761642456,
0.008254218846559525,
-0.12573319673538208,
-0.141637444... |
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Q: Context: Celastrol is an active ingredient of traditional herbal medicine and has recently been identified as a potent natural proteasome inhibi... | Our results demonstrate that β-catenin stability is negatively regulated by Grp58 in HeLa cells. Overexpression of Grp58 may be responsible for the loss of or decrease in membranous β-catenin expression in cervical AD.
****
| 4 | NIv2 | task849_pubmedqa_answer_generation | fs_opt | [
0.33738231658935547,
0.10861936211585999,
-0.23481571674346924,
0.5008445382118225,
0.5538406372070312,
-0.23386512696743011,
1.093278169631958,
1.101148009300232,
0.45563817024230957,
0.46655601263046265,
-0.6300798654556274,
0.2256452441215515,
-0.6454800963401794,
0.25531527400016785,
... |
Detailed Instructions: In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Q: As a lake increases in size, there are more (A) English Premier Leagues (B) catfish (C) airplanes (D) volcanoes
A: | B | 9 | NIv2 | task1286_openbookqa_question_answering | zs_opt | [
-0.3770749568939209,
0.22966903448104858,
-0.5269230008125305,
-0.35292524099349976,
-0.14649878442287445,
-0.7221068143844604,
0.702715277671814,
0.17277276515960693,
0.04913844168186188,
-0.6081310510635376,
0.3540724813938141,
-0.5185920000076294,
-1.0662577152252197,
0.0836967825889587... |
Detailed Instructions: 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... | PersonX wears sunglasses and suncream but personY does not because _ is indifferent with respect to skin cancer. | 9 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
1.1396710872650146,
0.349545419216156,
-0.20761986076831818,
-0.442756712436676,
0.20661389827728271,
-1.016343116760254,
1.3443046808242798,
0.8542516231536865,
-0.11588545143604279,
-0.484314501285553,
-0.2530609369277954,
0.18889470398426056,
-0.7310454249382019,
0.25934338569641113,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation... | Yes | 1 | NIv2 | task426_hindienglish_corpora_hi-en_classification | fs_opt | [
-0.29577744007110596,
0.16911453008651733,
0.5495935678482056,
0.6544825434684753,
0.4862634539604187,
-0.7189613580703735,
-0.11235558986663818,
0.9957280158996582,
-0.12263378500938416,
-0.4070618152618408,
-0.27353769540786743,
-0.1376599371433258,
-0.2885569930076599,
0.006178212352097... |
Teacher: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Aquí esta la medusa ala-x de la muerte.
Solution: Qui c'è la medusa mortale con le ali ad X.
Reason: The Spanish sentence ... | Ecco come abbiamo cercato di farlo. | 2 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.34735655784606934,
0.6316749453544617,
-0.16833733022212982,
-0.29376569390296936,
-0.7811946868896484,
-0.6164268255233765,
0.40768590569496155,
1.0188446044921875,
-0.08563221991062164,
-0.15698766708374023,
0.030583180487155914,
0.11141151189804077,
-0.48296549916267395,
0.4396260082... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Example input: Review: My cat won't touch these. My dog, ho... | False | 3 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.40985244512557983,
0.012289868667721748,
0.0786789208650589,
-0.2737562358379364,
0.3780617415904999,
-0.4242478609085083,
0.38022685050964355,
0.5488467216491699,
-0.40981096029281616,
0.2542206645011902,
-0.2267833948135376,
0.03193250298500061,
-1.1989212036132812,
-0.302818238735199... |
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Ex Input:
Japanese: 彼はカンザス州ドッジシティで1936年5月17日にデニス・リー・ホッパーとして産まれた。
Lao: ເດັນນິສ ລີ ໂຮບເປີ້ ລາວເກີດ ໃນວັນທີ 17 ເດື... | Yes
| 1 | NIv2 | task1126_alt_ja_lo_answer_generation | fs_opt | [
-0.4766220450401306,
-0.740069568157196,
-0.33972251415252686,
0.19081944227218628,
-0.12247221171855927,
-0.6304885149002075,
-0.29166874289512634,
0.7312548160552979,
-0.34055614471435547,
-0.1921725869178772,
-0.7872374653816223,
0.18274250626564026,
-0.425979882478714,
0.61307322978973... |
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
Example Input: سود سهام عدالت شامل چه کسانی می شود؟ <sep> سود سهام عدالت به چه کسانی پرداخت می شود؟
Example Ou... | not-paraphrase
| 3 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-1.5824685096740723,
0.6627624034881592,
-0.1359722912311554,
-0.4931945502758026,
-0.8902395963668823,
0.13117879629135132,
1.2801125049591064,
0.5044611692428589,
0.5220231413841248,
0.10794217884540558,
-0.4959926903247833,
0.07850855588912964,
-0.7535628080368042,
-0.2887885868549347,
... |
Given a paragraph from a Wikipedia article about some topic, and a question related to the topic, determine whether the question is answerable from the paragraph. If the question is answerable, answer "True", otherwise, answer "False".
Input: Consider Input: Australia had been shocked by the speedy collapse of British... | Output: True
| 2 | NIv2 | task1640_aqa1.0_answerable_unanswerable_question_classification | fs_opt | [
0.4476129710674286,
0.36306995153427124,
-0.8691712617874146,
-0.31792381405830383,
0.01788436993956566,
-0.09852449595928192,
1.175743818283081,
0.6184276342391968,
0.27898409962654114,
0.3698621690273285,
-0.6858072280883789,
0.24813823401927948,
-1.0398162603378296,
0.13447794318199158,... |
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, answer 'Numbers and Alphabe... | Numbers Win | 0 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
-0.09537738561630249,
0.3860433101654053,
-0.3548111319541931,
0.014585986733436584,
-0.8067054152488708,
-0.13586373627185822,
0.6024202108383179,
-0.4923829436302185,
0.02073579654097557,
-0.03684530407190323,
-1.1765835285186768,
-0.19524091482162476,
-0.3095126450061798,
0.356557548046... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes | 0 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.22476840019226074,
0.24240253865718842,
0.256467342376709,
-0.253936231136322,
-0.5992917418479919,
-0.6336450576782227,
1.3446323871612549,
0.5566142201423645,
-0.5019371509552002,
-0.3362894654273987,
-0.6987974643707275,
-0.4882620871067047,
-1.0404019355773926,
0.1886054277420044,
... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Input: Consider Input:... | Output: [598, 4, 118]
| 2 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.3733721375465393,
0.5523765087127686,
-0.3439277410507202,
-0.6966960430145264,
-0.31055915355682373,
-0.027362152934074402,
1.0943752527236938,
0.11652730405330658,
-0.15717114508152008,
0.2533266544342041,
-0.8977068066596985,
-0.2131214737892151,
-0.3144534230232239,
-0.2574485242366... |
Instructions: Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Input: Somali sentence: 19 Markaasaa umulisooyinkii waxay Fircoon ku yidhaahdeen, Maxaa yeelay, naagaha Cibraaniyaduhu la mid ma aha naagaha Masriga, oo waa ka dhaqso badan y... | 19 And the midwives said unto Pharaoh, Because the Hebrew women are not as the Egyptian women; for they are lively, and are delivered ere the midwives come in unto them. | 3 | NIv2 | task450_opus_paracrawl_so_en_translation | zs_opt | [
0.32937249541282654,
1.201894998550415,
-0.009459331631660461,
-0.6775985360145569,
-0.5476282238960266,
-1.5216596126556396,
0.3672460615634918,
0.41803961992263794,
1.1515036821365356,
-0.12796813249588013,
-0.12209649384021759,
0.9085434675216675,
-1.3472896814346313,
-0.293872177600860... |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Ex Input:
My mother made me feel scared.
Ex Output:
female
Ex Input:
The conversation with Nancy was grim.
Ex Output:
female
Ex Input:
I... | female
| 1 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-1.1372686624526978,
0.10754340887069702,
-0.31078824400901794,
-0.295861154794693,
-0.03371197730302811,
-0.37026554346084595,
0.7369931936264038,
0.617500364780426,
1.009282112121582,
0.5786493420600891,
-0.9921474456787109,
-0.44068247079849243,
-0.9326145052909851,
-0.6311221122741699,... |
Detailed Instructions: You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
See one example below:
Problem: Sentence1:i need a place to dine in the center thats expensive Sentence2: I have several options for you; do you prefer African, Asian,... | Answer: (B) System | 4 | NIv2 | task638_multi_woz_classification | fs_opt | [
1.3543040752410889,
0.23477470874786377,
-0.556733250617981,
-0.4706021547317505,
0.1558895707130432,
-0.7127682566642761,
0.8044148683547974,
0.9333518147468567,
0.06420499831438065,
-0.2167181819677353,
-0.15886753797531128,
0.27067822217941284,
-1.2346515655517578,
0.344595342874527,
... |
Detailed Instructions: This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the foll... | 2. | 8 | NIv2 | task028_drop_answer_generation | zs_opt | [
-0.3077554702758789,
-0.18664273619651794,
-0.7666420936584473,
0.7407494187355042,
-0.2052198052406311,
0.796938419342041,
0.0173442792147398,
0.38588622212409973,
0.24011759459972382,
-0.3085288405418396,
-0.08835551142692566,
0.30264467000961304,
-0.3136284351348877,
-0.3316265940666199... |
Detailed Instructions: In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index a... | [9, -2, -14, 7] | 4 | NIv2 | task096_conala_list_index_subtraction | fs_opt | [
0.5488160848617554,
0.013768889009952545,
-0.9488835334777832,
-0.23600873351097107,
0.08454029262065887,
-0.2975790202617645,
1.0540452003479004,
0.4303099811077118,
0.044452913105487823,
0.03861254081130028,
-0.6099323630332947,
-0.4397128224372864,
-0.44076499342918396,
0.04415206238627... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of ... | NN | 0 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
-0.00915810838341713,
0.1636166274547577,
-0.42735350131988525,
0.5282292366027832,
0.14755810797214508,
-0.5149663090705872,
-0.1293506920337677,
0.2306963950395584,
-0.5079604387283325,
0.15158770978450775,
-0.027185186743736267,
0.08053679764270782,
0.12137927114963531,
0.21787929534912... |
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of log... | yes | 0 | NIv2 | task211_logic2text_classification | zs_opt | [
0.022464381530880928,
-0.40265345573425293,
-0.25673073530197144,
0.4460851848125458,
0.32407790422439575,
-0.5395512580871582,
0.2704533040523529,
0.5499608516693115,
0.16059035062789917,
-0.106605164706707,
-0.35877755284309387,
0.09331919252872467,
0.2571646571159363,
0.3270662128925323... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Yes | 4 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.29366984963417053,
0.5061028003692627,
0.23855578899383545,
-0.48116445541381836,
-0.4965192377567291,
-0.8771141767501831,
1.4391648769378662,
0.6994447708129883,
-0.2271089255809784,
-0.5413684844970703,
-0.4124739468097687,
-0.20877942442893982,
-0.6235284209251404,
0.1312203556299209... |
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.
Example Input: ... | In 1977, Eddie Adams is a highschool dropout living with his stepfather and emotionally abusive mother in Torrance, California. He works at the Reseda nightclub owned by Maurice Rodriguez, where he meets porn filmmaker Jack Horner, who auditions him by watching him have sex with Rollergirl, a porn starlet who always we... | 3 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.5210503339767456,
0.42730456590652466,
-0.12803606688976288,
-0.11177185922861099,
0.2615091800689697,
0.12279205024242401,
0.10956443101167679,
0.5344605445861816,
-0.36263537406921387,
0.46389448642730713,
-0.24380213022232056,
-0.37715041637420654,
-0.296322762966156,
0.56658244132995... |
Detailed Instructions: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements ap... | O, O, C, e, 5067, 265, 5161, 7919 | 8 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
0.43177634477615356,
0.7573641538619995,
-0.6126223802566528,
-0.4390973746776581,
0.3804234266281128,
-0.17648833990097046,
0.4452285170555115,
0.43486103415489197,
-0.37641021609306335,
0.727016806602478,
-0.3060193955898285,
0.061709970235824585,
0.23975870013237,
-0.3682091534137726,
... |
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