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 |
|---|---|---|---|---|---|---|
In this task, you need to count the occurrences of the given word in the given sentence.
Example input: Sentence: 'the brown cat sits perched on atop of the bed peering forward'. Count the occurrences of the word 'the' in the given sentence.
Example output: 2
Example explanation: The word 'the' appears two times in th... | 3 | 3 | NIv2 | task158_count_frequency_of_words | fs_opt | [
0.21340693533420563,
0.8243608474731445,
-1.0038797855377197,
-0.5664960741996765,
-0.46541693806648254,
-0.3396778106689453,
0.5134420394897461,
0.15713363885879517,
0.2152765989303589,
-0.14824676513671875,
-0.4971403479576111,
0.21154636144638062,
-0.3297033905982971,
0.1863613277673721... |
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.
I Russi pilotarono un aereo supersonico prima del Concorde.
| روس ها در واقع یک پرواز مافوق صورت را قبل از کنکورد انجام داده بودند. | 5 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
0.1461305022239685,
1.285203456878662,
0.05308558791875839,
-0.44414815306663513,
-0.30597519874572754,
0.5960708260536194,
0.7008183002471924,
0.86208176612854,
0.3944724202156067,
0.03159899637103081,
-0.9925503730773926,
-0.033937007188797,
0.044410206377506256,
-0.03135349974036217,
... |
Instructions: Categorize the comment on the basis of sexual explicitness. If the comment is sexually explicit output Yes, otherwise output No.
Input: “You can’t feel like a boy for wrestling and a girl for basketball.”?? Ah, if I am not mistaken girls wrestle boys now. Not a very impressive statement from the 'direct... | Yes | 3 | NIv2 | task1723_civil_comments_sexuallyexplicit_classification | zs_opt | [
-0.7861968874931335,
-0.4325997233390808,
0.13684672117233276,
0.4955676794052124,
-0.1906287670135498,
-0.1471070647239685,
-0.2732852101325989,
0.5967463254928589,
0.257160484790802,
0.12803173065185547,
-0.5210456848144531,
0.031234251335263252,
0.31249576807022095,
-0.7540209293365479,... |
In this task your given two statements. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
[Q]: A water pipe in the house burst.
The pipe froze.
[A]: cause
[Q]: Acti... | cause
| 5 | NIv2 | task828_copa_commonsense_cause_effect | fs_opt | [
-0.8377262353897095,
1.0316883325576782,
0.11003687977790833,
-0.20825250446796417,
-0.031157992780208588,
-0.391916960477829,
0.024986283853650093,
1.0280768871307373,
0.3820815980434418,
0.14899596571922302,
-0.18686138093471527,
0.02152913808822632,
-0.8527986407279968,
-0.5259213447570... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
People emerge through the tall green crop and look around anxiously. | Someone gazes across the field. | 0 | NIv2 | task455_swag_context_generation | zs_opt | [
0.45463329553604126,
0.6534833908081055,
-0.441044420003891,
0.05681440234184265,
-0.7842132449150085,
-0.37668919563293457,
-0.05649563670158386,
1.0024038553237915,
-0.2079172432422638,
-0.09677590429782867,
-0.9582744836807251,
-0.368519127368927,
-0.7244265675544739,
0.326384961605072,... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Q: right, right. shut up.
A: | راست ميگي، راست ميگي، خفه شو | 4 | NIv2 | task658_tep_en_fa_translation | zs_opt | [
-0.31139832735061646,
1.517479658126831,
0.04753071069717407,
-0.35894155502319336,
-1.0043513774871826,
-0.6033996939659119,
0.11006626486778259,
0.29933539032936096,
1.213335394859314,
-0.009161542169749737,
-0.06973031908273697,
0.24225762486457825,
0.19198986887931824,
-0.8223794698715... |
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'.
One example: Title: Marc... | 54321 | 6 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
-0.6327415108680725,
-0.014304831624031067,
-0.1910591721534729,
0.2042953222990036,
0.23628565669059753,
0.19296838343143463,
0.23649032413959503,
0.5183466672897339,
0.18075120449066162,
0.5733474493026733,
-1.0552732944488525,
-0.22905361652374268,
-0.7021408081054688,
0.494523584842681... |
Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and" is a dialogue exchang... | Why thank you. No sharp edges, everything's round, just like a doughnut. | 8 | NIv2 | task360_spolin_yesand_response_generation | fs_opt | [
0.6959487199783325,
0.8569940328598022,
0.14439556002616882,
0.43986549973487854,
0.2771379053592682,
-1.3108420372009277,
0.1355973780155182,
0.3963935375213623,
-0.49619534611701965,
-0.4443046450614929,
-0.7585740089416504,
0.149680495262146,
-0.9741278886795044,
0.35497617721557617,
... |
TASK DEFINITION: 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 supp... | Favor
| 8 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
-0.0556180402636528,
0.30835288763046265,
-0.07320967316627502,
0.6126010417938232,
-0.24724850058555603,
-0.2094670534133911,
0.3039068579673767,
0.8403165936470032,
-0.08639215677976608,
0.915937602519989,
-0.4694771468639374,
-0.2180279791355133,
0.16642796993255615,
-0.1421958804130554... |
Given the task definition and input, reply with output. You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Sentence1: Any Sentence2: Hello there! I am looking for a restaurant that specializes in Swedish food. Sentence3: Thank you for using... | Answer: (A) User | 5 | NIv2 | task638_multi_woz_classification | zs_opt | [
-0.2453749179840088,
0.4506487250328064,
-0.242349773645401,
-0.7047483921051025,
-0.03438834846019745,
0.08000633120536804,
0.5411421060562134,
0.4838169813156128,
0.3381056487560272,
-0.32476717233657837,
-0.27332451939582825,
-0.3672287166118622,
-0.4626157879829407,
-0.1722365915775299... |
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.
Text: so like most tifus this happened in either 6th or 7th grade.
i went to a catholic school, and we ... | i tried to get a woman out of her ghost train cart quickly by shunting it, i forgot she was disabled.
| 0 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.22406578063964844,
0.05829094350337982,
0.09633827954530716,
-1.1679346561431885,
0.42106616497039795,
-0.5028718709945679,
0.4303390085697174,
0.8776966333389282,
0.18350832164287567,
-0.2819153666496277,
0.034622497856616974,
0.26280075311660767,
-0.5568329095840454,
0.3667376935482025... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
One example: Katrina gave Christine a stuffed animal for their birthday, but _ already had this one. (A) Katrina (B) Christine
Solution is here: B
Explana... | A | 6 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.23032428324222565,
0.1657753884792328,
0.1022016629576683,
-0.1590520441532135,
-0.2177412062883377,
-0.6160618662834167,
0.4686887860298157,
0.9651088714599609,
0.08054040372371674,
0.36626049876213074,
0.5662789344787598,
0.14826148748397827,
0.2691880762577057,
0.23913869261741638,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
One example is below.
Q: Sentence 1: Next to the MGM Grand you will find M and ... | yes | 9 | NIv2 | task199_mnli_classification | fs_opt | [
-0.507992148399353,
0.37009331583976746,
0.7241330742835999,
-0.5924578309059143,
0.27308228611946106,
-1.0824329853057861,
-0.2171330451965332,
0.7298579216003418,
0.2539523243904114,
0.16511212289333344,
-0.2118685245513916,
-0.8648178577423096,
-0.21358755230903625,
-0.01798559166491031... |
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Q: 5169 - 6578 - 3052 + 4311 - 1649 - 3921 - 612
A: | 16670 | 4 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.0943828672170639,
0.33089303970336914,
-0.7105704545974731,
-0.04125756770372391,
-0.4526887834072113,
0.2067040503025055,
1.2627760171890259,
1.3777356147766113,
0.35956546664237976,
-0.8344339728355408,
-0.282946914434433,
-0.0680738091468811,
-0.45159196853637695,
0.46128013730049133... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Input: Consider Input: מה שמעניין, כמובן, הוא שאנחנו עדיין משתמשים ב-80 מיליון פאונד של אטראזין, המזהם הראשי במי השתיה, והוא עושה בדיוק ההיפך — מדליק את ארומטאז, מעלה את רמת האסטרוגן ומעודד גידולים בעכברים כמו כן הוא מקושר ל... | Output: They were also lucky, they said, because they began to dig in a sort of Bermuda Triangle of jurisdiction, between port authority, airport authority, two city districts, and a review board.
| 2 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.023891214281320572,
0.12141447514295578,
-0.10003746300935745,
0.21298348903656006,
0.14265504479408264,
-0.5374345779418945,
0.02511352300643921,
0.6377478837966919,
0.113405741751194,
0.2721121907234192,
-0.14720016717910767,
0.2867240905761719,
-0.24743565917015076,
-0.45843216776847... |
Instructions: In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
Input: Unit 731 (Japanese: 731部隊 , Hepburn: Nana-san-ichi Butai ) was a cov... | Unit 731 Japanese: 731部隊 , Hepburn: Nanasanichi Butai was a covert biological and chemical warfare research and development unit of the Imperial Japanese Army that undertook lethal human experimentation during the Second SinoJapanese War 1937–1945 of World War II. | 3 | NIv2 | task192_hotpotqa_sentence_generation | zs_opt | [
-0.4098532497882843,
-0.057585764676332474,
-0.5266921520233154,
-0.36012351512908936,
-0.43976080417633057,
-0.2025493085384369,
-0.06961578130722046,
0.25985729694366455,
-0.04846903681755066,
0.049956969916820526,
-0.6312849521636963,
-0.12436484545469284,
-0.40908199548721313,
0.425158... |
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
CONTEXT: 13 de octubre de 2007 Al igual que en las semifinales de esta misma copa en 2003, el defensor ... | uno de los finalistas de la Copa Mundial de Rugby 2007 | 0 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
1.0512429475784302,
0.4777194559574127,
-0.1820729821920395,
-0.22103972733020782,
0.11213844269514084,
-0.3302253782749176,
0.7191108465194702,
0.9217866659164429,
-0.5104643106460571,
-0.22184644639492035,
-0.18825176358222961,
0.9000607132911682,
-0.4810217618942261,
0.28703773021698,
... |
Detailed Instructions: 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.
Problem:name[xname], cuisine[French], location[riverside]
Solution: | Located in the riverside area, xname serves French Food. | 8 | NIv2 | task1598_nyc_long_text_generation | zs_opt | [
-0.4702003598213196,
0.5273494720458984,
-0.2766231894493103,
-0.7768969535827637,
-0.8203305006027222,
0.25456422567367554,
0.5919785499572754,
0.1700555980205536,
0.22565385699272156,
-0.7151866555213928,
0.5380016565322876,
-0.8739549517631531,
-0.2903590202331543,
0.17602568864822388,
... |
You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
[Q]: Context... | Which award was honoured to Richard E. Fleming?
| 5 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | fs_opt | [
-0.10988245904445648,
0.4772520661354065,
-0.7601667642593384,
0.2764233350753784,
0.5442206859588623,
-1.2542507648468018,
-0.28842830657958984,
0.08010749518871307,
0.12407886981964111,
-0.33651331067085266,
-0.17417889833450317,
1.113422155380249,
-0.6813564300537109,
-0.228109642863273... |
In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Example input: Swedish: Jag förklarar debatten avslutad.
English: The debate is closed.
... | Yes | 3 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
0.267058789730072,
0.44855251908302307,
0.30782967805862427,
0.2642909586429596,
0.2834855616092682,
-0.18114128708839417,
0.46645206212997437,
0.7654600143432617,
0.5131879448890686,
0.5815344452857971,
0.687725305557251,
0.9111177921295166,
-0.8060847520828247,
0.21870926022529602,
0.1... |
Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., ... | Sentence 1: PersonX had more crayons and art materials than PersonY had because _ liked to color more.
Sentence 2: PersonX had more crayons and art materials than PersonY had although _ liked to color more. | 3 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.17099350690841675,
0.5152770280838013,
0.011044403538107872,
-0.13792233169078827,
0.2579328119754791,
-0.2918420135974884,
0.4582551121711731,
0.8435350656509399,
-0.12745821475982666,
-0.39392775297164917,
-0.4611409902572632,
-0.25087931752204895,
-0.34702667593955994,
-0.225944906473... |
instruction:
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
question:
Context: @MayorMark ... | no
| 9 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.09007434546947479,
-0.03711685538291931,
0.0019285866292193532,
0.6475871205329895,
0.35711753368377686,
-0.4599609375,
0.6912016272544861,
0.1817779690027237,
0.34364208579063416,
0.4393787980079651,
0.008354401215910912,
-0.228266179561615,
-0.13024091720581055,
-0.03782166540622711,
... |
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 list all elements of A from the ith element to the jth element in the reverse order. 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.
[Q]: 7, 9, ['68... | O, F, 1653, 4139, 1705, L, b, X, 7377, 6751, 9865, 2599, 9159, 1639, a, 9911
| 5 | NIv2 | task099_reverse_elements_between_index_i_and_j | fs_opt | [
0.13249632716178894,
0.29302269220352173,
-0.2496749460697174,
-0.46136313676834106,
-0.38218456506729126,
-0.27460670471191406,
0.4387790858745575,
0.20030468702316284,
-0.44104158878326416,
0.22524723410606384,
-0.9168680310249329,
0.2986189126968384,
0.11514300853013992,
-0.138188526034... |
In this task, you are given a sentence and a question, you would be asked to create the answer which is contained in the sentence provided.
Ex Input:
Sentence: The oxygen atom in a water molecule pull the electrons away from the hydrogen atoms which leads to an unequal distribution of charge. Question: The oxygen atom... | solar energy
| 1 | NIv2 | task1555_scitail_answer_generation | fs_opt | [
-0.11576997488737106,
0.8931899666786194,
-0.6553537249565125,
-1.040656566619873,
-0.12704318761825562,
-1.1946717500686646,
0.17038223147392273,
1.038244366645813,
0.3328801989555359,
-0.372178852558136,
-0.26182952523231506,
-0.3000164031982422,
-1.3032126426696777,
-0.4936507046222687,... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Catalan Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Catalan language. 2)... | Output: Así que les recomendaría a ustedes dos que partan a la ciudad cuando se cansen de Barton, sin decirle una palabra sobre ello a la señorita Dashwood.
| 2 | NIv2 | task1652_opus_books_ca-en_translation | fs_opt | [
0.6957492828369141,
1.3818957805633545,
-0.16183902323246002,
-0.41947853565216064,
0.12712699174880981,
-1.0798784494400024,
1.117152214050293,
0.5608391165733337,
0.14226847887039185,
-0.1385851502418518,
-0.25813549757003784,
0.4427226185798645,
-0.47462278604507446,
-0.1255211532115936... |
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Hateful
| 1 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.4430328905582428,
0.2554636597633362,
0.7442415952682495,
0.37629446387290955,
-0.012086043134331703,
-0.665020227432251,
0.6223009824752808,
1.023435115814209,
0.3154388666152954,
0.6082186698913574,
0.08601052314043045,
0.34361496567726135,
-0.23296037316322327,
-0.7137926816940308,
... |
Detailed Instructions: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that... | run right after jump opposite right | 9 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
-0.03147926926612854,
1.225772738456726,
-0.3439074158668518,
-0.005777500569820404,
-0.2316095530986786,
0.5332047939300537,
-0.032260578125715256,
0.5784600377082825,
-0.37225285172462463,
-0.3634835183620453,
-0.8320813179016113,
-0.07152275741100311,
-0.8201619386672974,
0.086768895387... |
TASK DEFINITION: Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
PROBLEM: past or present, name a tv show set in a hospital.
SOLUTION: er
PROBLEM: name something people keep i... | horse
| 8 | NIv2 | task820_protoqa_answer_generation | fs_opt | [
0.4225173592567444,
0.38077542185783386,
-0.7084395289421082,
0.610968828201294,
0.027460364624857903,
-0.08690201491117477,
0.8453402519226074,
0.41718029975891113,
-0.4722077250480652,
-0.14258189499378204,
-0.4935687184333801,
0.6465787887573242,
-0.7077155113220215,
-0.1955250650644302... |
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
Example input: THEM: i need the hats and the ball YOU: i can give you one hat and the ball. i want 2 books and 1 hat THEM: i have to have both hats and the ball or both hats and a book to make a ... | No | 3 | NIv2 | task1384_deal_or_no_dialog_classification | fs_opt | [
0.6832030415534973,
0.3613342046737671,
0.29138147830963135,
0.7332294583320618,
0.3966574966907501,
-0.8216629028320312,
0.5322865843772888,
0.3223009407520294,
0.16328057646751404,
-0.36795690655708313,
0.014317925088107586,
-0.008406920358538628,
-0.7319023609161377,
-0.2105759084224701... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | [['8', 'a', 'f', '4', '2', 'H'], ['8', 'a', 'f', '4', '2', 'u'], ['8', 'a', 'f', '4', 'H', 'u'], ['8', 'a', 'f', '2', 'H', 'u'], ['8', 'a', '4', '2', 'H', 'u'], ['8', 'f', '4', '2', 'H', 'u'], ['a', 'f', '4', '2', 'H', 'u']] | 4 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.17196063697338104,
0.17040449380874634,
-0.5517225861549377,
-0.21717903017997742,
0.4779561460018158,
-0.435324490070343,
0.3279254734516144,
0.29888948798179626,
0.10419593751430511,
-0.14076761901378632,
-0.6429624557495117,
0.49258631467819214,
0.0901840329170227,
-0.097413130104541... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
One example is below.
Q: We notice a man in a kayak and a yellow helmet coming in from the left. As he approaches, his kayak
A: flips upside - down
Rationale: Flipping of the kayak i... | is from a room onto a desk and hands her a prescription pill bottle. | 9 | NIv2 | task453_swag_answer_generation | fs_opt | [
0.21398912370204926,
0.8356302380561829,
-0.08226445317268372,
-0.512549877166748,
-0.0362294539809227,
-0.7439945340156555,
-0.08698508143424988,
0.8352243900299072,
0.2014378160238266,
0.48144519329071045,
-0.02194715477526188,
0.05115541070699692,
-0.5847799777984619,
0.2612751126289367... |
You will be given a definition of a task first, then some input of the task.
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first senten... | He saw them as prizes in a vending machine. | 1 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.3094576597213745,
0.05232337862253189,
0.14184238016605377,
0.5901217460632324,
0.16331148147583008,
-0.7375820875167847,
-0.03845445066690445,
1.0941061973571777,
-0.39858078956604004,
-0.12608616054058075,
-0.3813924789428711,
-0.10740882158279419,
-0.32418978214263916,
0.1313838958740... |
instruction:
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require a... | What town does the Pope's open-air mass take place?
| 9 | NIv2 | task193_duorc_question_generation | fs_opt | [
0.10852458328008652,
0.6090894937515259,
-0.6658802032470703,
-0.3712312579154968,
0.5388880372047424,
-0.09636981785297394,
1.0057244300842285,
0.9589219093322754,
-0.3225582540035248,
0.024396304041147232,
-0.2104346752166748,
0.26858070492744446,
-0.5921651124954224,
0.1837761253118515,... |
This task is about translating a given French language sentence to English.
Ex Input:
Nous savons qu'il y en a beaucoup trop qui le font.
Ex Output:
We know that there are too many who do it.
Ex Input:
Palagay !
Ex Output:
NOW!
Ex Input:
Sauf si on le coule [volotairement] en faisant des trous dans la coque !!!
... | Except if you scuttle it voluntarily.
| 1 | NIv2 | task1690_qed_amara_translation | fs_opt | [
-0.5819623470306396,
0.6955984830856323,
0.050754427909851074,
0.27779823541641235,
-0.054288335144519806,
-0.1815282702445984,
0.2733444273471832,
-0.29081499576568604,
-0.015609792433679104,
-0.07920164614915848,
-0.7899727821350098,
-0.03108689934015274,
-0.6831883192062378,
0.107481725... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
[EX Q]: ६ से १० वर्ष तक की अवस्था उन्होंने जकार्ता इंडोनेशिया में अपनी म... | A.R . Blackshield who tried to fix the perception and parameters of secularism in the West , was unable to arrive at any fully viable and acceptable definition of the term .
| 6 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
0.26389259099960327,
0.5599807500839233,
0.1572301983833313,
-0.32531243562698364,
-0.36427491903305054,
-0.324786901473999,
0.09806667268276215,
0.5165070295333862,
0.17262807488441467,
-0.014305204153060913,
-0.7364272475242615,
0.6930516958236694,
-0.636988639831543,
-0.4806213974952698... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Problem:نام من جوان باتلر است ، و در فیلادلفیا بدنیا آمدم و بزرگ شدم.
Solution: | Nazywam się Joann Butler, urodziłam się i wychowałam w Filadelfii. | 8 | NIv2 | task1272_ted_translation_fa_pl | zs_opt | [
-0.30151838064193726,
0.6913237571716309,
-0.9021670818328857,
-0.1261826604604721,
-0.7945232391357422,
-0.7078781127929688,
0.9026778936386108,
0.6161017417907715,
0.39773473143577576,
-0.32531440258026123,
0.1787753701210022,
0.8496503829956055,
-1.240596055984497,
0.15232715010643005,
... |
Teacher:Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Teacher: Now, understand the problem? Solve this instance: English sentence: 43 Then the priest shall look upon it: and, behold, if the rising of the sore be white reddish in his b... | 43 Markaas wadaadku waa inuu fiiriyaa, oo bal eeg, cudurka bararkiisu hadduu yahay mid guduudan oo caddaan ku jiro, oo ku yaal madaxiisa bidaarta leh, ama fooddiisa bidaarta leh, sidii ay tahay muuqashada baraska oo dubka jidhkiisa ku taal, | 6 | NIv2 | task446_opus_paracrawl_en_so_translation | zs_opt | [
-0.36438626050949097,
1.1454122066497803,
0.1755138635635376,
-1.142957329750061,
-0.32330259680747986,
-0.6992215514183044,
-0.31805217266082764,
1.1885923147201538,
0.4178701639175415,
0.317309707403183,
0.17243385314941406,
0.9412046670913696,
-1.051966905593872,
0.2779173254966736,
0... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence and a question in the input. The information provided in the sentence should be enough to answer the question. You're expected to write the correct answer. Do not use any facts other than those provided in the sentence... | Play tag. | 1 | NIv2 | task051_multirc_correct_answer_single_sentence | fs_opt | [
-0.43673884868621826,
0.6627686023712158,
-0.08979261666536331,
0.3868963420391083,
-0.0755954310297966,
-0.49414533376693726,
0.2692931890487671,
0.5317583084106445,
0.25972676277160645,
-0.3800855278968811,
-0.45949068665504456,
-0.15551796555519104,
0.36264872550964355,
-0.3620085716247... |
Given the task definition, example input & output, solve the new input case.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Twee... | true | 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-1.1348707675933838,
0.5157688856124878,
0.5408964157104492,
0.4030711054801941,
-0.15519264340400696,
-0.7922993898391724,
0.16227707266807556,
0.9554488658905029,
0.45178478956222534,
0.05238290876150131,
0.0029648449271917343,
-0.06217151880264282,
-0.610511302947998,
-0.781668186187744... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
Example: What does the dc in Washin... | Solution: Wayne Carson, Johnny Christopher, Mark James | 5 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.25156068801879883,
0.725523829460144,
-0.31915998458862305,
-0.30770984292030334,
-0.3637251853942871,
-0.6926822066307068,
1.331618070602417,
0.10233898460865021,
0.03051113337278366,
-0.20890620350837708,
-0.7530372142791748,
-0.1563960313796997,
-0.562994658946991,
-0.116103745996952... |
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.
Q: Category: WHAT'S THE BIG IDEA?
Clue: The 21st century doctrine named for this man allows t... | tibia
****
| 4 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
0.1355951428413391,
0.8040894269943237,
-0.1556316763162613,
0.17281004786491394,
-0.20119285583496094,
-1.0120062828063965,
0.45404404401779175,
0.06987185776233673,
0.6608659029006958,
0.17102715373039246,
-0.17956268787384033,
0.42245861887931824,
-0.8053656816482544,
0.1143909469246864... |
In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesis sentence based on the label and the premise sentence. Your sentence should ... | پانیذ فریوسفی موسیقی را رسماً در هنرستان موسیقی آموخت ولی معلمین اولیۀ او پدر و مادرش بودند.
| 7 | NIv2 | task464_parsinlu_entailment_sentence_generation | fs_opt | [
-0.543429970741272,
0.7547646164894104,
-0.5941305160522461,
-0.2562510371208191,
-0.20248979330062866,
-0.2569800019264221,
0.6859899759292603,
0.6541082262992859,
0.3960503935813904,
-0.5928043723106384,
-1.060302972793579,
0.33643442392349243,
-0.4233621656894684,
-0.1904391348361969,
... |
Q: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the ... | political | 7 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | zs_opt | [
-0.61825031042099,
0.0710415244102478,
0.2715362310409546,
0.3076920509338379,
-0.6181210279464722,
-0.7098649144172668,
0.7683358788490295,
-0.07158111035823822,
-0.17993797361850739,
-0.17379377782344818,
-0.32802653312683105,
0.16676311194896698,
-0.08249720185995102,
0.0643867701292038... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
Q: And if you let time go by, it kind of softens and smooths the edges.
A: Jeśli przegapicie moment, wrażenia nie będą tak jaskrawe i wyraźne.
****
Q: We opened the lid, we took the horse out, and it did work; it walked an... | "" Zła wiadomość jest taka, że Lizzi Borden też jest twoich kuzynem "".
****
| 4 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
-0.5085310935974121,
1.1898374557495117,
-0.2969079613685608,
-0.48710769414901733,
-0.07909807562828064,
-0.5097373723983765,
0.32761532068252563,
-0.35430455207824707,
-0.35253727436065674,
-0.36438217759132385,
-0.09358276426792145,
0.43115371465682983,
-0.541765034198761,
0.60361695289... |
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Q: ['y', '7439', '3513', '8247', 'p', '2069', '5505', '8989', 'U', 'H', '6611']
A: | 7439, 3513, 8247, 2069, 5505, 8989, 6611 | 9 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
0.7749499082565308,
0.13249094784259796,
-0.5130646824836731,
-0.3702124357223511,
-0.6010746955871582,
-0.6507819890975952,
0.5190300941467285,
-0.43969398736953735,
-0.13055473566055298,
0.172276109457016,
-1.2734309434890747,
-0.2071632742881775,
0.32893091440200806,
0.3488895893096924,... |
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Ex Input:
Sentence:... | No
| 1 | NIv2 | task114_is_the_given_word_longest | fs_opt | [
0.0629744678735733,
0.8478820323944092,
-0.5115848183631897,
0.4960973262786865,
-0.06289559602737427,
-0.580199122428894,
0.1929311603307724,
0.9127774238586426,
0.5175368785858154,
-0.028422363102436066,
0.09246966242790222,
0.5324936509132385,
0.11929506063461304,
-0.0964193195104599,
... |
Instructions: In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Input: [1091, 409, 2675, 6015, 'O', 5785, 7247, 4101, 'Q', 'V', 8847, 'h', 's', '3045', '4815', 'p', 'k', 'D', '2415', 'E', 'n', 'V', 'C', 'D', 'D', '7035', 'H', 'Y', 4799, 7777, 'L', 'U', 4441, 4789], [22... | s, 3045, 4815, p, k, D, 2415, E, n, V, C, D, D, 7035 | 3 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.7348154783248901,
0.46806418895721436,
-0.45639944076538086,
-0.10344327986240387,
-0.598716139793396,
0.0394754633307457,
0.520430326461792,
0.04934015870094299,
-0.5093240737915039,
-0.10748463869094849,
-1.1300705671310425,
0.20574402809143066,
0.45691096782684326,
0.1079330369830131... |
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 list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the d... | [69, 4, 21, 36, 66, 37, 180, 59, 44] | 0 | NIv2 | task125_conala_pair_differences | fs_opt | [
-0.22600607573986053,
0.4969676733016968,
-0.6896518468856812,
0.29259154200553894,
-0.16421136260032654,
0.18275238573551178,
0.8265078067779541,
0.6620950698852539,
0.6429939270019531,
-0.2902250587940216,
-0.22526997327804565,
-0.46452322602272034,
0.11758530139923096,
0.220059618353843... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposi... | WP NN IN NN VBZ VBN IN DT NN IN DT NN RB VBD IN CD . | 0 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
-0.3571130037307739,
0.482938289642334,
-0.41186970472335815,
0.22689996659755707,
-0.41611558198928833,
-0.3099033534526825,
1.1149990558624268,
0.5646737217903137,
-0.11963776499032974,
-0.051439497619867325,
-0.7281631231307983,
-0.027132846415042877,
-0.4690817594528198,
-0.12005501985... |
In this task, you are given a text of the article. Your task is to generate a headline (title) for this article.
[EX Q]: ireland have been rewarded for their memorable world cup debut by being confirmed as the ##th best team in the world .
[EX A]: cricket : ireland confirmed in world top ten
[EX Q]: in process of div... | facts & figures : china 's main export commodities
| 6 | NIv2 | task288_gigaword_summarization | fs_opt | [
0.11165346950292587,
1.1344287395477295,
-0.39712411165237427,
-0.05991114303469658,
0.1888035386800766,
-0.38101309537887573,
-0.2852895259857178,
0.6080714464187622,
-0.0232393741607666,
-0.179024800658226,
-0.31723833084106445,
0.1390286087989807,
-0.881556510925293,
0.4058060646057129,... |
Teacher:Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and r... | mero | 6 | NIv2 | task1418_bless_semantic_relation_classification | zs_opt | [
-0.2473454773426056,
0.17601630091667175,
0.30118629336357117,
0.23956429958343506,
-0.8234817981719971,
0.01154443621635437,
-0.35681265592575073,
0.5602216720581055,
0.12500277161598206,
-0.7347353100776672,
-0.2846776247024536,
0.1887589395046234,
-0.9905587434768677,
-0.157223373651504... |
Detailed Instructions: 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 ... | ['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', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO... | 9 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.2615414559841156,
0.4677671790122986,
0.011531142517924309,
-0.3224784731864929,
0.19033336639404297,
-0.570777177810669,
0.45995861291885376,
0.928301215171814,
-0.38973844051361084,
-0.04012613743543625,
-0.1413961797952652,
-0.3759497404098511,
-0.6906177997589111,
-0.1005847901105880... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Q: Non molto.
A: | Not very long. OK. | 4 | NIv2 | task1247_ted_translation_it_en | zs_opt | [
0.1266603320837021,
1.3510878086090088,
0.19208621978759766,
-0.07427840679883957,
-0.5457083582878113,
-1.0902917385101318,
-0.41251659393310547,
0.7071305513381958,
-0.184251070022583,
-0.04890158027410507,
0.25815549492836,
0.540764570236206,
-0.8454004526138306,
0.21316099166870117,
... |
In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Q: Además -como muy bien sabe su Señoría- España y Francia han establecido un obs... | Spanish
****
| 4 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
-0.31869611144065857,
0.842830240726471,
0.48725318908691406,
0.15475749969482422,
0.21243810653686523,
-0.35782390832901,
0.3448399603366852,
0.6509261727333069,
-0.0685800164937973,
0.3296634256839752,
0.10383845120668411,
0.3061138689517975,
-0.47086992859840393,
-0.5044569373130798,
... |
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
The aim of this study was to describe the revascularization process of autogenous bone block grafts p... | 1
| 0 | NIv2 | task848_pubmedqa_classification | fs_opt | [
0.30093586444854736,
0.2764158546924591,
-0.6093417406082153,
0.6879540681838989,
0.03394784405827522,
-0.18599337339401245,
0.5040544271469116,
1.0345274209976196,
0.22092793881893158,
0.21060186624526978,
0.03790895268321037,
0.5645532608032227,
0.6055090427398682,
-0.06895783543586731,
... |
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
--------
Question: ... | [94, 88, 17, 17, -24, 70, 61]
| 7 | NIv2 | task207_max_element_lists | fs_opt | [
0.14608454704284668,
0.045483894646167755,
-0.5934878587722778,
0.00742378830909729,
0.0877244770526886,
0.0932203084230423,
1.073015809059143,
0.5312190055847168,
-0.6219638586044312,
0.13794568181037903,
-0.8505988121032715,
0.4972881078720093,
-0.9886693954467773,
0.1946166753768921,
... |
Teacher:In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appe... | what is the population of the largest state | 6 | NIv2 | task184_break_generate_question | zs_opt | [
0.6679258346557617,
-0.015015608631074429,
-0.7118046283721924,
0.5074812173843384,
0.31313633918762207,
-0.5678302049636841,
0.8864472508430481,
0.4358953535556793,
-0.46226465702056885,
0.5078321695327759,
-0.2945285439491272,
0.5570598244667053,
-0.06062936410307884,
-0.0016911062411963... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Ex Input:
私はこう答えました「今はもっぱら数学をしています戦争が終わったら NSAの仕事に戻ります」そして私がその日にした唯一聡明なことをしましたインタビューを受けたことを上司に伝えたのです
Ex Output:
אמרתי לו, "" כרגע אני עוסק בעיקר במתמטיקה, וכשהמלחמה תיגמר אעסוק בעיקר בעניינים שלהם. "" הדבר הנבון היחיד שע... | זה פגע בי, וזה גרם לי לחשוב, מה הקטע בלשנות את העתיד?
| 1 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.2109426110982895,
0.15300023555755615,
-0.2698690593242645,
0.034119803458452225,
-0.6829808950424194,
-0.035758960992097855,
0.6347179412841797,
0.4571242332458496,
0.5614190101623535,
-0.39966100454330444,
-0.41509974002838135,
0.6416311264038086,
-0.508905291557312,
-0.11630800366401... |
instruction:
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
question:
Which Best Picture nominated movie tells the story of US soldier, 'Chris' Kyle?
answer:
chris kyle
question:
Which river begins in the Rocky Mountains in south-west Colora... | amy robsart
| 9 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.02258763089776039,
0.12108995020389557,
-0.15114888548851013,
-0.48349812626838684,
-0.36097705364227295,
-0.5341275334358215,
0.42327436804771423,
0.15747565031051636,
0.1751563847064972,
-0.19510136544704437,
0.3398599922657013,
-0.35684001445770264,
-1.0507317781448364,
-0.04673945158... |
Teacher:In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. You are expecte... | Anti-stereotype | 6 | NIv2 | task316_crows-pairs_classification_stereotype | zs_opt | [
-0.3056313395500183,
-0.2041568011045456,
-0.044796597212553024,
0.5013912916183472,
0.44444015622138977,
0.07049387693405151,
0.43071413040161133,
0.9320369362831116,
0.5924942493438721,
0.11720863729715347,
-0.04350874572992325,
0.14693880081176758,
-0.5080320239067078,
-0.30285406112670... |
instruction:
A text is given in Bengali. Translate it from the Bengali language to the Oriya language. The translation must not omit or add information to the original sentence.
question:
ମୁଁ ଏହାକୁ ଅତି ବିନମ୍ରତା ଏବଂ କୃତଜ୍ଞତାର ସହିତ ସମସ୍ତ ଭାରତୀୟଙ୍କ ପକ୍ଷରୁ ସ୍ୱୀକାର କରୁଛି ।
answer:
পাশাপাশি, স্থায়ী, শান্তিপূর্ণ ও সমৃদ্ধশালী... | বর্তমানে যে সমস্ত ক্ষুদ্র ও প্রান্তিক কৃষকের বয়স ১৮ থেকে ৪০ বছরের মধ্যে, তাঁরা সকলেই এই কর্মসূচির সুযোগ-সুবিধা গ্রহণে আবেদন করতে পারবেন।
| 9 | NIv2 | task998_pib_translation_oriya_bengali | fs_opt | [
-0.2691372334957123,
0.5907138586044312,
-0.3112519383430481,
0.1822388917207718,
-0.5881254076957703,
-0.9932541251182556,
-0.2943081855773926,
-0.010802040807902813,
0.0482822023332119,
-0.4042088985443115,
-0.14879432320594788,
-0.5770114660263062,
0.12044567614793777,
-0.06455960124731... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Problem:非喫煙者の女性は非喫煙者の男性に比べて 3倍も肺がんと診断されやすいということが判明しています
Solution: | Hoy en día sabemos que las mujeres no fumadoras tienen tres veces más probabilidades de ser diagnosticadas de cáncer de pulmón que los hombres que no son fumadores. | 8 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.039148662239313126,
-0.11037038266658783,
-0.7132912874221802,
-1.1096827983856201,
-0.23427656292915344,
-0.2655732333660126,
0.37302324175834656,
0.9533915519714355,
0.5451752543449402,
-0.13970604538917542,
-0.7764690518379211,
-0.2548563480377197,
-0.4579528570175171,
0.158508539199... |
Part 1. Definition
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Part 2. Example
لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
Answer: Poradzi sobie, ale trzeba na nią uważać.
Explanation: The Arabic sentence is correctly translated into Polish, because the meaning is pr... | Jedną z pierwszych ofiar trudnej sytuacji ekonomicznej są wydatki publiczne, a na linii ognia znalazły się publiczne wydatki na naukę, głównie tę zaspokajającą ciekawość i umożliwiającą odkrycia. | 7 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
-0.4704210162162781,
1.2850265502929688,
0.2991704046726227,
-0.8621150255203247,
-0.12823015451431274,
-0.05630074441432953,
1.5493353605270386,
-0.0707719475030899,
0.6426405906677246,
-0.1762615293264389,
-1.0727458000183105,
0.4042334258556366,
-1.0373636484146118,
0.25913387537002563,... |
Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, mil... | consumer product
| 5 | NIv2 | task143_odd-man-out_classification_generate_category | fs_opt | [
0.4277207851409912,
-0.5645943284034729,
-0.5266966819763184,
0.5694419145584106,
0.07744196057319641,
-0.5634323358535767,
-0.08107297122478485,
0.7230105996131897,
0.16349564492702484,
0.007656952366232872,
0.03095236048102379,
0.1600123643875122,
-0.12612470984458923,
0.2339474856853485... |
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 the sentence. The ... | Wrong
| 5 | NIv2 | task133_winowhy_reason_plausibility_detection | fs_opt | [
-0.007577870972454548,
0.4347156584262848,
-0.24421969056129456,
0.0020331377163529396,
0.4711640179157257,
-0.6993036270141602,
0.3560842275619507,
0.5556864142417908,
0.31114107370376587,
-0.4362983703613281,
-0.6792817115783691,
0.5178518891334534,
-0.9037292003631592,
-0.17389154434204... |
Teacher: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Monterey is one of those.
Solution: מונטריי היא אחת מהם.
Reason: The English sentence is correctly translated into Hebrew. ... | אבל אולי הדוגמה הכי מדהימה של כמה אנשים היו מוכנים להתאמץ כדי לעזור לי לקרוא את העולם, הגיעה לקראת סוף המסע שלי, כשניסיתי להשיג ספר מאומת האי דובר הפורטוגזית הזעיר האפריקאי של סאן טומה ופרינסיפה. | 2 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
0.3913096487522125,
0.47349074482917786,
0.6933566331863403,
-0.9422996044158936,
0.1507921665906906,
-0.7684304118156433,
0.0980464369058609,
-0.016632582992315292,
0.6250277757644653,
-0.3299236297607422,
-0.08996645361185074,
-0.2860603928565979,
-0.9485381841659546,
-0.2322269678115844... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Teacher: Now, understand the problem? Solve this instance: Mamy nowe rodzaje terapii genowej które rozwiązują problem umieszczenia materiału genetycznego w odpowiednim miejscu na chromosomie.
Student: | יש שיטות חדשות ומלהיבות לרפואת גנים שמתגברות על הבעיה של להניח חומר גנטי במקום הנכון בכרומוזום. | 6 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.982171356678009,
-0.1208021268248558,
0.12943127751350403,
-0.8493503332138062,
-0.3659951090812683,
-0.4600832760334015,
0.6651185750961304,
0.3741680979728699,
0.6239736676216125,
-0.3593524694442749,
0.004846935626119375,
0.23243197798728943,
-0.21382394433021545,
-0.2670303881168365... |
Given the task definition and input, reply with output. 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 ... | Yes | 5 | NIv2 | task383_matres_classification | zs_opt | [
-0.17179439961910248,
0.7132164239883423,
0.6291428804397583,
0.49146488308906555,
-0.49753129482269287,
-0.5273939967155457,
-0.15342232584953308,
0.7804328203201294,
0.32414066791534424,
0.30859026312828064,
-0.3558119535446167,
0.27519917488098145,
0.07852037250995636,
0.121384955942630... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Les partenair... | Sexual partners should be evaluated to prevent further spread of disease. | 6 | NIv2 | task1397_europa_ecdc_tm_fr_en_translation | zs_opt | [
-0.5651770234107971,
0.45621559023857117,
-0.10267360508441925,
-1.0601285696029663,
0.005546769127249718,
-0.08045286685228348,
-0.28574639558792114,
-0.009214377030730247,
-0.1021784245967865,
0.1679079234600067,
-0.4423372447490692,
0.13359534740447998,
-0.7236751317977905,
-0.783415913... |
Detailed Instructions: 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.
Q: ['l', 'j', '3113', 'v', 't', '465', '6305', 'C', '6989', 'D', '9137', 'j', 'O', 's', '5065', 'A... | l, j, v, t, C, D, j, O, s, A, a, R, r, d, W, Z, a, X, s, f | 9 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
-0.37278610467910767,
0.6020435094833374,
-0.6230076551437378,
-0.07340984791517258,
0.1418161541223526,
0.22803041338920593,
0.5347168445587158,
-0.49331673979759216,
-0.05238103121519089,
0.15243735909461975,
-0.4562664330005646,
-0.150117427110672,
-0.010087993927299976,
0.3701004385948... |
Teacher:Given a prompt and two completions from a language model, select the completion that is the least toxic with respect to continuing the prompt. Toxicity is defined as a rude, disrespectful, or unreasonable statement that is likely to make you leave a discussion. Generate either Completion A or Completion B.
Teac... | Completion B | 6 | NIv2 | task137_detoxifying-lms_classification_toxicity | zs_opt | [
0.35410937666893005,
0.06430408358573914,
0.16520971059799194,
-0.22240301966667175,
-0.2533004879951477,
-0.8930734395980835,
0.3577343225479126,
0.22690075635910034,
-0.13828399777412415,
-0.22189274430274963,
-0.408581405878067,
0.16868945956230164,
-0.222890242934227,
-0.80399805307388... |
Given the task definition and input, reply with output. 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.
Category: YOU ARE THE JUAN
Clue: This... | san juan capistrano | 5 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-1.0559914112091064,
0.8098735809326172,
-0.5032311677932739,
-0.11079125106334686,
-0.34828758239746094,
-0.21714437007904053,
0.3120483160018921,
0.029551424086093903,
-0.44582685828208923,
0.39673709869384766,
0.11988423764705658,
0.5939165353775024,
-0.500252366065979,
0.19657933712005... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: 全てオープンでやましい所や
Student: | Tutto questo avviene in modo aperto e trasparente. | 6 | NIv2 | task1096_ted_translation_ja_it | zs_opt | [
0.4522419571876526,
0.08463871479034424,
0.09250401705503464,
-0.9513538479804993,
-0.29753389954566956,
-0.4106021821498871,
0.042458243668079376,
0.5851499438285828,
0.4265857934951782,
-0.3319539427757263,
-0.1942724585533142,
0.1540975272655487,
0.25311702489852905,
-0.2363620847463607... |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
Let me give... | [115, 167, 79, 3, 177] | 8 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.33254003524780273,
-0.07175248861312866,
-0.49804478883743286,
-0.6752001047134399,
0.4479914903640747,
-0.22141391038894653,
1.1450095176696777,
0.27097123861312866,
-0.6025975346565247,
0.33644580841064453,
-0.6822271347045898,
0.3236493468284607,
-0.2971673905849457,
-0.6682358384132... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Mark couldn't decide to replace the mittens with a pair of gloves on his trip. The _ were new. (A) mittens (B) gloves | B | 0 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
0.5853320360183716,
0.8131976127624512,
-0.47803428769111633,
-0.18183633685112,
-0.6227121353149414,
-0.4244556427001953,
0.6795713901519775,
0.43736720085144043,
-0.059819795191287994,
-0.3699352443218231,
-0.23946836590766907,
0.645688533782959,
0.6794139742851257,
-0.39169859886169434,... |
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 part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential... | NN
| 1 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
0.48969924449920654,
0.7465184926986694,
-0.3506711721420288,
0.04489995539188385,
0.31584399938583374,
-0.42236626148223877,
1.4212722778320312,
1.1290805339813232,
-0.45889002084732056,
0.223937526345253,
-0.39062294363975525,
0.5577576756477356,
-0.7418900728225708,
0.04352609068155289,... |
Given the task definition and input, reply with output. In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii... | SSnszPuR, TtnsztyY | 5 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
-0.5374501943588257,
0.9700630903244019,
-0.022259723395109177,
0.34919506311416626,
0.11648118495941162,
0.36191317439079285,
0.2294057458639145,
-0.1745171695947647,
0.04793495312333107,
0.38629627227783203,
-0.6024332046508789,
0.09189875423908234,
0.19840775430202484,
-0.19125658273696... |
Given the task definition and input, reply with output. 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 applyi... | [17, 47, 238, 214, 34, 7, 23] | 5 | NIv2 | task206_collatz_conjecture | zs_opt | [
-0.5635412931442261,
0.5428629517555237,
0.07228629291057587,
-0.49452248215675354,
-0.2798197269439697,
0.19724681973457336,
0.9253963828086853,
-0.20297522842884064,
0.11120568215847015,
0.1821240335702896,
-0.7045939564704895,
-0.12317312508821487,
-0.5326699018478394,
0.025036297738552... |
In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
One example: [9, ... | 1 | 6 | NIv2 | task1445_closest_integers | fs_opt | [
-0.724428653717041,
0.24907752871513367,
0.10269901156425476,
-0.07324686646461487,
-0.1552504450082779,
-0.463090717792511,
1.0015017986297607,
0.04674427956342697,
0.308694064617157,
-0.1556493043899536,
-0.49723535776138306,
-0.4745161831378937,
-0.6170122623443604,
-0.35014569759368896... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopolitical depending on the... | non-geopolitical | 0 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | zs_opt | [
-0.8159895539283752,
0.09116365760564804,
0.31857699155807495,
-0.024621961638331413,
-0.5228848457336426,
-0.5939342975616455,
0.166214257478714,
-0.2990044057369232,
-0.10563883185386658,
-0.06323180347681046,
-0.9614489078521729,
-0.31162604689598083,
-0.5121780037879944,
-0.30243209004... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
question:
Piuttosto che usare la tastiera e il mouse, perché non posso usare il mio computer così come faccio con gli altri oggetti nel mondo fisico?
answer:
En lugar de usar un teclado y un ratón, ¿Por qué no ... | (Risas) ¿Pueden imaginárselo? E.T. llamando a casa, ¿y no estoy? ¡Horrible!
| 9 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.23369047045707703,
1.082497477531433,
-0.22881168127059937,
0.624826967716217,
0.053955286741256714,
-0.6653167009353638,
0.2773727476596832,
0.8817201852798462,
0.5712453126907349,
-0.3951372504234314,
0.42235425114631653,
0.5380252003669739,
-0.15296177566051483,
-0.12575887143611908,... |
Definition: You are given a statement written in Oriya. 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 .
Input: Statement: ୧୯୯୬ ମସିହାରୁ ପେଶଗତ ଭାବରେ ଏହି ଆର୍ଟରେ ରହିଥିବା ସୁରେଖାଙ୍କ ଅନେକ ଭିଡିଓ ଅଙ୍କନ <MASK> ତଥା ବିଦେ... | ଭାରତ | 2 | NIv2 | task951_wiki_cloze_or_multiple_choice_question_answering | zs_opt | [
-0.5129623413085938,
1.4311349391937256,
-0.06885655224323273,
0.02754141017794609,
-0.17622843384742737,
0.0071497587487101555,
0.3073538839817047,
0.9536676406860352,
-0.018899857997894287,
-0.10690659284591675,
0.17837171256542206,
-0.08736615628004074,
0.016526026651263237,
-0.17793154... |
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
I am a college student w... | allowing one classmate to be transphobic toward another even though I am also trans
| 0 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.3517882227897644,
-0.09752954542636871,
-0.39841967821121216,
-0.7085778713226318,
0.5723282098770142,
-0.41690799593925476,
0.7185949087142944,
0.9875946044921875,
-0.6049638986587524,
0.08408663421869278,
0.7652948498725891,
0.5048173666000366,
-0.5534441471099854,
-0.20192384719848633... |
Teacher:In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Teacher: Now, underst... | user | 6 | NIv2 | task577_curiosity_dialogs_classification | zs_opt | [
-0.5154330730438232,
0.5149995684623718,
-0.008392002433538437,
-0.8911636471748352,
-0.44212841987609863,
-0.004444828722625971,
0.6504174470901489,
-0.22940465807914734,
0.7351505756378174,
-0.44000768661499023,
-0.4547227621078491,
-0.5994647145271301,
-0.3206084370613098,
-0.4328912794... |
Given the task definition and input, reply with output. You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Sentence: xname coffee shop ... | rating[average], cuisine[Indian], location[riverside] | 5 | NIv2 | task1597_nyc_slot_filling | zs_opt | [
-1.1205931901931763,
0.2895229160785675,
0.07022397965192795,
-0.3858709931373596,
-0.28764426708221436,
0.3556133508682251,
0.6847140192985535,
0.6252254843711853,
0.37618130445480347,
-0.3245468735694885,
0.46124935150146484,
-0.669201135635376,
-0.2671038508415222,
0.18377934396266937,
... |
Detailed Instructions: 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 rounded to 3 decimal places.
Q: [-17.95, 16.889]
A: | -0.53 | 9 | NIv2 | task094_conala_calculate_mean | zs_opt | [
-0.402321994304657,
0.7200486660003662,
-1.2827106714248657,
-1.5305756330490112,
-0.12719768285751343,
0.5833359956741333,
0.7317841053009033,
-0.09513835608959198,
0.02584644965827465,
0.18516452610492706,
-0.6623046398162842,
1.1685271263122559,
-0.8706353306770325,
0.3036116361618042,
... |
Instructions: In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
Input: Ok, please wait for a while. Thank you for waiting, there is a flight 1018 in Spirit airline has the price 400. Can I... | agent | 3 | NIv2 | task575_air_dialogue_classification | zs_opt | [
-0.8918733596801758,
0.41447997093200684,
-0.45945462584495544,
-1.132214069366455,
-0.41205736994743347,
-0.023585528135299683,
0.6042560935020447,
-0.4287101626396179,
0.33329302072525024,
0.2348344773054123,
0.48009639978408813,
0.04643215984106064,
-0.4137881398200989,
-0.1210513859987... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Example Input: Which evolutionary biologist wrote The Ancestor's Tale in 2004?
Example Output: the ancestor's tale
Example Input: Which country has 6 time zones called Pacific, Mountain, Central... | dodecanese
| 3 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
1.1063594818115234,
0.8681447505950928,
0.0345035120844841,
0.14778226613998413,
-0.6530002355575562,
-0.44510096311569214,
0.5569983124732971,
-0.5180505514144897,
0.26628226041793823,
-0.07731804251670837,
-0.3724480867385864,
0.6094927787780762,
-1.2037746906280518,
0.07144660502672195,... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
--------
Question: Esta é a cantilena, a metalinguaxe empregada para dar significado.
Answer: این صدای آواز خوندنه ، شبه زبان که ما استفاده میکنیم تا معانی رو برسونیم
Question: E calquera traballo moral depende dunha sen... | متشکرم بیل گیتس و متشکرم مامان.
| 7 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-1.0424859523773193,
1.117364764213562,
0.048875659704208374,
-0.4840054512023926,
-0.3551200032234192,
-0.3601010739803314,
0.7878369092941284,
0.24337150156497955,
0.22848616540431976,
0.0017556927632540464,
-0.5989627838134766,
0.5005960464477539,
-0.6095031499862671,
0.2896384298801422... |
Detailed Instructions: In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Q: Sentence 1: The kids filed into the lunchroom. Sentence 2: They were assig... | a | 9 | NIv2 | task220_rocstories_title_classification | zs_opt | [
-0.24263793230056763,
0.01579355075955391,
-0.10629211366176605,
-0.10838662087917328,
-0.3950325846672058,
0.08252585679292679,
0.32375162839889526,
0.7838125824928284,
0.23277868330478668,
-0.13066424429416656,
0.0820566713809967,
-0.403675377368927,
-0.34680160880088806,
0.0428745374083... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Problem:Comment: Si... | Non-toxic | 8 | NIv2 | task327_jigsaw_classification_toxic | zs_opt | [
-0.225938081741333,
0.712865948677063,
0.5390874147415161,
-0.8636496067047119,
-0.32607346773147583,
-0.44225019216537476,
0.4800800681114197,
0.5438958406448364,
0.5568863749504089,
0.6715600490570068,
-0.398082971572876,
0.1258177012205124,
-0.45444175601005554,
-0.614060640335083,
0.... |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
Let me give you an example: در ابتدا، خدا آسمانها و زمین را آفرید.
The answer to this example can be: In the beginning God created the heaven and the earth.
Here is why: This is a good example. The above se... | And they took Joseph's coat, and killed a kid of the goats, and dipped the coat in the blood; | 8 | NIv2 | task654_bible_fa_en_translation | fs_opt | [
-0.46236327290534973,
1.608764410018921,
-0.6276789307594299,
-0.21884885430335999,
-0.9829856157302856,
-0.4123682975769043,
0.894594669342041,
0.4558042287826538,
0.5942187309265137,
0.05221182107925415,
-0.8004909753799438,
0.3652077317237854,
-0.8646214008331299,
0.24103689193725586,
... |
Detailed Instructions: Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that th... | hyper | 8 | NIv2 | task1418_bless_semantic_relation_classification | zs_opt | [
0.3978644907474518,
0.24126620590686798,
0.17949452996253967,
0.45563358068466187,
-0.5285226702690125,
0.44496017694473267,
-0.3013914227485657,
0.49699848890304565,
0.10395748913288116,
-0.6832647919654846,
-0.6095072627067566,
0.21114015579223633,
-0.5685805082321167,
0.3993266224861145... |
Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it.
Abstract: Although osteoarthritis (OA) generally is considered a disorder of mechanical origin, the common occurrence of chronic mononuc... | Cartilage, Articular | 0 | NIv2 | task620_ohsumed_medical_subject_headings_answer_generation | zs_opt | [
0.34398314356803894,
0.5362943410873413,
-1.0640891790390015,
-0.060418400913476944,
0.29030948877334595,
-0.5708006024360657,
0.16591334342956543,
1.661116600036621,
0.7315289378166199,
0.18853351473808289,
-0.5073751211166382,
0.5376617908477783,
-0.6263338327407837,
0.5006994009017944,
... |
TASK DEFINITION: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inn... | [-62049, 0, 49, 0, 13]
| 8 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.36286771297454834,
0.04088843613862991,
-1.1536409854888916,
-0.056351274251937866,
-0.04104956239461899,
-0.14370036125183105,
1.2558481693267822,
0.7062960863113403,
-0.3342624008655548,
-0.28860583901405334,
-0.8672885894775391,
-0.1766989678144455,
-0.3873353600502014,
-0.15729783475... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Optio... | Output: Option 1
| 2 | NIv2 | task065_timetravel_consistent_sentence_classification | fs_opt | [
0.47121500968933105,
-0.02159186452627182,
-0.5912299156188965,
0.17101021111011505,
0.05569661036133766,
-0.557347297668457,
0.0860057920217514,
1.4574464559555054,
-0.09542843699455261,
0.08394176512956619,
0.05001244693994522,
-0.07173046469688416,
-0.25078701972961426,
-0.1354130208492... |
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 category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.... | NUM
****
| 4 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.7105115056037903,
0.38031885027885437,
-0.06295005232095718,
0.26362133026123047,
0.07229720801115036,
-0.7566808462142944,
0.829807698726654,
0.6458601951599121,
-0.5235508680343628,
0.014580994844436646,
-0.7020876407623291,
0.07579740881919861,
-0.5462106466293335,
0.3229459822177887,... |
Given a premise and two alternatives in Gujarati, choose the alternative that is either a plausible cause or effect of the situation described by the premise. The premise is the 'નિવેદન' field and the alternatives are the 'વિકલ્પA' and 'વિકલ્પB' fields.The output should either be "વિકલ્પ A" or "વિકલ્પ B" based on your ... | વિકલ્પ A | 3 | NIv2 | task940_copa_gu_commonsense_reasoning | fs_opt | [
-0.5163943767547607,
0.08550363779067993,
0.03587353602051735,
0.10102808475494385,
-0.6853970289230347,
-0.7553463578224182,
0.710003674030304,
0.22253340482711792,
0.5370442867279053,
-0.2420862317085266,
-1.1839014291763306,
0.030773356556892395,
0.39014026522636414,
0.07763588428497314... |
instruction:
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks f... | I_RUN I_RUN I_RUN I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP
| 9 | NIv2 | task128_scan_structured_text_generation_command_action_short | fs_opt | [
0.1480393409729004,
0.9284136891365051,
-0.49365413188934326,
0.24020451307296753,
-0.19377994537353516,
-0.12045498192310333,
0.1224774718284607,
0.1671038269996643,
-0.11737838387489319,
-0.18117263913154602,
-0.8907687067985535,
-0.07268691807985306,
-0.5204553604125977,
0.0023183820303... |
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".
Input: Consider Input: Article: britain 's financial services authority announced thursday it would ban short - selling -- when in... | Output: no
| 2 | NIv2 | task289_gigaword_summarization | fs_opt | [
0.08132406324148178,
0.4817543625831604,
-0.1835230141878128,
0.46733203530311584,
-0.4327353239059448,
-0.3492897152900696,
0.31057655811309814,
0.5231460928916931,
-0.25344157218933105,
-0.42166373133659363,
-0.7585550546646118,
0.2592869699001312,
-0.52672278881073,
-0.23421108722686768... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.