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: In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corr... | 2 | 4 | NIv2 | task200_mnli_entailment_classification | fs_opt | [
0.6961073875427246,
0.4331516921520233,
-0.5316810011863708,
0.06605459749698639,
-0.14338836073875427,
-0.6613777875900269,
0.002273713704198599,
0.8965615034103394,
0.13953113555908203,
-0.296587735414505,
-0.7956827282905579,
0.05459249019622803,
-0.4032888412475586,
-0.0836887210607528... |
Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | 文字在收音机中播放 。
| 5 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
-0.3137608766555786,
0.40504616498947144,
-0.6762478351593018,
-0.2303878664970398,
-0.006306864321231842,
-0.3959859013557434,
-0.34874099493026733,
0.5335379838943481,
-0.10781802237033844,
-0.2725127637386322,
-0.5256164073944092,
-0.169368714094162,
-0.11448974907398224,
0.031673513352... |
Detailed Instructions: In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Problem:Som svar på Papayannakis fråga kan jag säga ... | As far as Mr Papayannakis' question is concerned, in the 1999 Action Plan for Employment, the Commission proposed certain recommendations for Greece with a view to improving the efficiency of the Action Plan for Employment. | 8 | NIv2 | task312_europarl_sv_en_translation | zs_opt | [
-0.5832304954528809,
0.7448211908340454,
0.20695427060127258,
-0.8572219610214233,
0.3227977156639099,
-0.2688778042793274,
1.42145574092865,
0.32396334409713745,
0.3446093201637268,
0.5252913236618042,
-0.06650543212890625,
0.8536785244941711,
-0.7020401954650879,
-0.36185044050216675,
... |
In this task, given a sentence in the Malay language, and your task is to convert it into the English language.
Q: Ruby sebelum ini mewakili Liga Bola Sepak Kebangsaan dalam satu tuntutan melawan pemilik Oakland Raiders Al Davis.
A: | Ruby has previously represented the National Football League in lawsuits against Oakland Raiders owner Al Davis. | 4 | NIv2 | task539_alt_translation_ma_en | zs_opt | [
-0.1939914971590042,
0.2792682647705078,
-0.38091763854026794,
-0.5594362616539001,
-0.0068580638617277145,
0.4266446530818939,
0.4718349575996399,
-0.3801891803741455,
0.9284690618515015,
-0.44413864612579346,
-0.23639869689941406,
0.6094174385070801,
-0.21652016043663025,
-0.089264243841... |
Q: 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".
چه چیزی باعث می شود یک برنامه تلفن همراه بسیار اعتیاد آور باشد؟ <sep> از چه نرم افزاری می توانم برای ساختن ی... | not-paraphrase | 7 | NIv2 | task465_parsinlu_qqp_classification | zs_opt | [
-1.1796066761016846,
0.8873487710952759,
-0.4349015951156616,
-0.9260327816009521,
-0.8797025084495544,
-0.479663610458374,
1.1603014469146729,
0.593207597732544,
0.3489638566970825,
-0.41363006830215454,
-0.879539430141449,
0.16807252168655396,
-0.6834048628807068,
-0.028400298207998276,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
Ex Input:
از طریق پروژه هایی چون "" هاییتی از نو "" ، "" تغییر در ساختمان سازی "" ، "" معماری برای انسانیت "" ، AIDG ، این ممکن است ، که به آنها دسترسی پیدا کنیم ، به ۳۰ یا ۴۰ هزار ساختمان ساز در این کشور و حرکتی انجام دهیم ... | Y creamos esta escuela llamada Lumiar, hay una escuela pública Lumiar y Lumiar dice lo siguiente: Dividamos el papel del maestro en dos.
| 1 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-1.391127347946167,
0.20333856344223022,
0.5420847535133362,
0.018269892781972885,
-0.5741660594940186,
-0.12254679203033447,
-0.04006977379322052,
0.71855229139328,
-0.5306273698806763,
-0.2440665066242218,
-0.8173606395721436,
0.33298665285110474,
-0.14430813491344452,
0.1188562065362930... |
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.
Personality: I play guitar.
I have four daughters.
I am a Michigan state trooper.
I love cho... | I love my four daughters, also Michigan state troopers, I used to be one. | 0 | NIv2 | task1730_personachat_choose_next | zs_opt | [
0.2367258071899414,
0.5481097102165222,
-0.8781559467315674,
0.44266265630722046,
0.16106079518795013,
-0.6135832667350769,
0.6690536141395569,
0.7096034288406372,
0.07774649560451508,
0.015581510961055756,
0.08873680233955383,
0.04277891293168068,
-0.4141942262649536,
-0.2752523720264435,... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to pa... | False | 1 | NIv2 | task1162_coda19_title_classification | zs_opt | [
-0.05199424922466278,
0.2887817621231079,
-0.24081683158874512,
0.5780386924743652,
-0.14242781698703766,
-0.09714904427528381,
0.8950023651123047,
1.147681713104248,
-0.09199528396129608,
0.3023120164871216,
-0.7971861362457275,
0.10828207433223724,
-0.31092679500579834,
0.279222846031188... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
[Q]: Relationship: 'launch', Argument/Subject 1: 'myspace', Argument/Subject 2: 'myspace music'
[A]: MySpace , part of News Corp. 's Fox Interactive , launched MySpace Music in... | In June , the UCC invited presidential candidate and UCC member Barack Obama , the Democratic junior U.S. Senator from Illinois , to speak at its General Synod .
| 5 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
-0.4669194519519806,
0.3025883734226227,
-0.11538740247488022,
0.8947416543960571,
0.27608978748321533,
-0.21577802300453186,
-0.09746497869491577,
0.7254200577735901,
1.2572827339172363,
0.5036560297012329,
0.9118830561637878,
-0.40995433926582336,
-1.0569462776184082,
-0.646517276763916,... |
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 probability o... | Nếu bạn muốn mua sắm sau đó bạn nên sở hữu của một...
| 1 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | fs_opt | [
-0.1558557152748108,
-0.39943379163742065,
-0.04816374555230141,
-0.013457965105772018,
-0.3970796465873718,
-0.12290678918361664,
0.5982697606086731,
0.9558506011962891,
0.10643960535526276,
-0.0701093077659607,
-0.22373849153518677,
-0.22914394736289978,
-0.4124312400817871,
0.1242899745... |
Detailed Instructions: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Q: Article: the dollar fell sharply on monday as concerns grew that washington 's ### - billion-dollar rescu... | no | 9 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.7904843091964722,
0.5409232378005981,
0.13205799460411072,
0.339107483625412,
-0.3561862111091614,
-0.4870610535144806,
0.6069011092185974,
1.1882141828536987,
0.2646403908729553,
0.32094186544418335,
-0.20579715073108673,
-0.051903024315834045,
-0.6177073121070862,
0.1463843435049057,
... |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
['y', '145', '305', '447', 'y', '267', '291', 'v', '153', '211', 't', 'o'] | 0, 1, 2, 3, 4, 5, 6, 7, 9 | 0 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | zs_opt | [
-0.43751969933509827,
0.12205931544303894,
-0.5527541637420654,
-0.1848180890083313,
0.19636046886444092,
0.08550070226192474,
0.8466784954071045,
0.11294519901275635,
-0.4532231092453003,
0.07316729426383972,
-0.6188545227050781,
-0.2315136343240738,
-0.6472697257995605,
-0.06111444160342... |
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... | Or a George Miller movie. I'm into pop culture.
| 3 | NIv2 | task360_spolin_yesand_response_generation | fs_opt | [
0.6415020227432251,
0.5071982741355896,
0.626535177230835,
0.4465731680393219,
0.18531207740306854,
-1.3467559814453125,
0.45636460185050964,
0.7575063109397888,
-0.09468071162700653,
-0.23806098103523254,
-0.5821981430053711,
-0.018205301836133003,
-0.7973779439926147,
0.21781975030899048... |
Definition: In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
Input: [30.606, -53,... | [-53, -51, 58, 11, -57, 3] | 2 | NIv2 | task367_synthetic_remove_floats | zs_opt | [
-0.4241507649421692,
0.019607380032539368,
-0.5358455181121826,
-0.2799797058105469,
0.26244452595710754,
-0.4202893078327179,
0.6960862874984741,
0.3879973590373993,
0.10107450187206268,
0.25922098755836487,
-0.7052927017211914,
0.12733978033065796,
0.03681190311908722,
-0.271860152482986... |
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... | Y
****
| 4 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
-0.1805322766304016,
-0.0903535932302475,
-0.5538467168807983,
-0.4024714529514313,
-0.3126499652862549,
-0.6674917340278625,
0.4461655616760254,
0.3807688355445862,
-0.5656223297119141,
0.14480344951152802,
-0.9413625001907349,
0.14967554807662964,
-0.2915426790714264,
0.18123334646224976... |
Detailed Instructions: Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Q: Super fast wireless speeds as advertised. Easy set up. Very happy with purchase.
A: | Five Stars | 9 | NIv2 | task1342_amazon_us_reviews_title | zs_opt | [
-0.4939822554588318,
0.7006955742835999,
-0.26230722665786743,
-0.6555081009864807,
-0.16077490150928497,
-0.3023715615272522,
0.3635309338569641,
0.3036445379257202,
0.30910155177116394,
0.8510648012161255,
-0.051820870488882065,
0.5676013231277466,
-0.3047969937324524,
-0.277312994003295... |
Instructions: 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) Replace the substring at its respective ... | COdglmosskfob, IZhaglmossouKgvZ | 3 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.11798691004514694,
0.5607995390892029,
-0.47889038920402527,
-0.5002047419548035,
-0.03003576397895813,
0.10526304692029953,
0.6223300695419312,
-0.6533241868019104,
-0.5899364948272705,
0.21445761620998383,
-1.1044070720672607,
-0.32454347610473633,
0.18015378713607788,
-0.2957934141159... |
In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Sentence: 'a large white plate of food on a table'. Reverse all words of length '1' in the given sentence. | a large white plate of food on a table | 0 | NIv2 | task378_reverse_words_of_given_length | zs_opt | [
-0.31860750913619995,
0.7252720594406128,
-0.14240503311157227,
-0.5567360520362854,
-0.26784250140190125,
-0.00905177928507328,
0.27083489298820496,
0.8900983333587646,
0.2507566213607788,
-0.3460436463356018,
-1.248198390007019,
-0.319358766078949,
-0.7445216178894043,
-0.184889674186706... |
Instructions: In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
I... | 3 | NIv2 | task390_torque_text_span_selection | zs_opt | [
0.5931861400604248,
0.03977527469396591,
-0.2496512085199356,
-0.2621920704841614,
-0.7365458011627197,
-0.06761666387319565,
0.7549073696136475,
0.6504501104354858,
0.1568661630153656,
0.6382335424423218,
-0.2947121858596802,
-0.22160431742668152,
-0.3333122134208679,
-0.07691466808319092... | |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is ... | Does intraoperative cholangiography facilitate simple transcystic clearance of ductal stones in units without expertise for laparoscopic bile duct surgery? | 0 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.27757295966148376,
0.45764750242233276,
-0.18582892417907715,
-0.2310599684715271,
0.6650232076644897,
-0.22719928622245789,
0.22453388571739197,
0.5772850513458252,
-0.47128745913505554,
0.07504898309707642,
-0.2937779426574707,
-0.014240317046642303,
-0.6788724660873413,
0.500478267669... |
Teacher: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... | No | 6 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
-0.007281478960067034,
0.11641399562358856,
0.7362825274467468,
-0.0632585883140564,
-0.4236377775669098,
-1.0068933963775635,
0.7541943788528442,
0.837539792060852,
-0.20079980790615082,
-0.5221412181854248,
-0.30156540870666504,
-0.5672467947006226,
-0.877997636795044,
-0.218800902366638... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Input: Así que el reto va a toda velocidad.
Output: | إذن فالتحدي يمضي بسرعة رهيبة. | 2 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
0.14471976459026337,
1.0469603538513184,
0.5143759250640869,
-0.7322882413864136,
-0.18231698870658875,
0.8906129598617554,
0.8966068029403687,
0.731828510761261,
0.6255126595497131,
-0.6293870806694031,
-1.1334307193756104,
-0.37301260232925415,
-0.6289104223251343,
0.4253995418548584,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Let me give you an example: و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی یا کارتی منگنه شود و بعد دوباره حک شود تا مورد بازبینی ق... | ثمة آلاف من المحادثات الهاتفية تعبر من خلالكم في هذه اللحظة ، وأنتم مغيبين عنها تمامًا. | 8 | NIv2 | task1268_ted_translation_fa_ar | fs_opt | [
-0.7523660659790039,
0.6420242786407471,
-0.8925632238388062,
-0.7229858636856079,
-0.1424558013677597,
-0.04004668816924095,
1.2233057022094727,
-0.3504487872123718,
-0.17845448851585388,
-0.19976302981376648,
-0.883307933807373,
0.13116636872291565,
-0.5472341179847717,
0.527993559837341... |
Detailed Instructions: In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Prob... | 1517 | 8 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
-0.06637191027402878,
0.8338651657104492,
-0.1327575147151947,
-0.10185262560844421,
-0.48663362860679626,
-0.24951434135437012,
0.4427829384803772,
0.8531847596168518,
0.10647143423557281,
-0.410859078168869,
-0.9033620357513428,
-0.5662423372268677,
-0.5228906273841858,
0.619733691215515... |
Given the task definition, example input & output, solve the new input case.
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... | Một số đoạn văn về cách các khối lập phương được tạo nên được các nhà khoa học tra cứu. | 1 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | fs_opt | [
-0.2787994146347046,
0.33262547850608826,
-0.16676369309425354,
0.15736109018325806,
-0.30322614312171936,
-0.31889772415161133,
0.08015625178813934,
0.9482884407043457,
0.07952304184436798,
-0.44908827543258667,
-0.4263942539691925,
-0.14527054131031036,
0.31667396426200867,
-0.1025507748... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
سأظل بهذا المفصل الذي يؤلمني. كان شيئاً محبطاً. | I would still be on my bad hip. That was so disappointing. | 0 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
-0.3343880772590637,
0.5982068181037903,
0.2501240372657776,
-0.7552958726882935,
-0.24847328662872314,
-0.321849524974823,
0.8778036236763,
0.5763849020004272,
0.5375661849975586,
-0.35930413007736206,
-0.29953181743621826,
0.032541945576667786,
-0.5741304159164429,
0.716865062713623,
0... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Let me give you an example: Sentence: 'a white cat on a desk near a computer monitor'. Count the number of vowels in the given sentence.
The answer to this example ... | 14 | 8 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.1784002184867859,
0.2993048429489136,
-0.5869471430778503,
-0.43521279096603394,
0.01347038708627224,
0.3530675768852234,
-0.4987328350543976,
0.7025033235549927,
0.04836329072713852,
0.05612102523446083,
0.24361909925937653,
0.005140597466379404,
0.046262092888355255,
0.0230275429785251... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_LOOK I_LOOK I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP | 4 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.03139767050743103,
0.8218680620193481,
-0.20476385951042175,
-0.07220876216888428,
0.09490576386451721,
0.10163228958845139,
0.1485692262649536,
0.04938429594039917,
-0.17735622823238373,
-0.4146806001663208,
-0.812900960445404,
0.020292334258556366,
-0.7445867657661438,
-0.1497675180435... |
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Example Input: PersonX gets ___ together
Example Output: the schedule
Example Input... | plane
| 3 | NIv2 | task1217_atomic_answer_generation | fs_opt | [
0.24919165670871735,
1.1100711822509766,
-0.18073074519634247,
-0.5796687006950378,
-0.1535991132259369,
-0.089701808989048,
0.7437689900398254,
1.013810396194458,
-0.12754890322685242,
-0.5328643321990967,
-0.4527844190597534,
-0.7624269723892212,
-0.28035128116607666,
-0.1198419407010078... |
In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' value then sort t... | [{'first': -69, 'second': 37}, {'first': -68, 'second': 27}, {'first': -32, 'second': 89}, {'first': -31, 'second': -85}, {'first': -13, 'second': -28}, {'first': 18, 'second': -21}, {'first': 77, 'second': -57}, {'first': 78, 'second': 39}]
| 3 | NIv2 | task123_conala_sort_dictionary | fs_opt | [
0.26486361026763916,
-0.22594475746154785,
-0.2856769561767578,
0.17576639354228973,
0.6939677000045776,
-0.3692992627620697,
0.8403607606887817,
1.029634952545166,
-0.38008731603622437,
-0.3590537905693054,
-0.5086966156959534,
-0.2412787675857544,
-0.7815212607383728,
0.12323341518640518... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
អ្នកប្រឆាំងនឹងការផ្លាស់ប្តូរនេះបានថ្លែងថា ការទប់ស្កាត់លើច្បាប់ថ... | 変化への反対者は今回の立法阻害は、Caucusによる1980年代初頭以来の抜本的移民改革推進への努力だと語る。 | 1 | NIv2 | task1122_alt_khm_ja_translation | zs_opt | [
0.03354692459106445,
0.039575524628162384,
-0.4771724343299866,
-0.2165709137916565,
0.23005542159080505,
-0.5623377561569214,
0.3723077178001404,
0.665366530418396,
-0.2394341230392456,
0.1383657306432724,
-0.4390380382537842,
-0.10861924290657043,
-0.8433396816253662,
0.3578224182128906,... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular s... | holding that there was a genuine issue of material fact precluding summary judgment | 1 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
-0.027429811656475067,
0.5467994213104248,
-0.20101836323738098,
0.24121308326721191,
-0.2149275541305542,
-0.5350372195243835,
0.43926629424095154,
0.9585555791854858,
0.008739467710256577,
-0.17220240831375122,
-0.46619951725006104,
0.5108679533004761,
-0.09403526782989502,
0.30846810340... |
Given a paragraph about movies and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix... | Yes
| 5 | NIv2 | task1442_doqa_movies_isanswerable | fs_opt | [
0.8107923269271851,
0.41704654693603516,
-0.49695059657096863,
0.0639326199889183,
0.532310962677002,
-0.48029109835624695,
0.583840012550354,
0.6260757446289062,
-0.14466258883476257,
0.28189271688461304,
-0.19791127741336823,
0.7241477370262146,
-1.3870182037353516,
0.6690969467163086,
... |
You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
[Q]: I just made some in my Whirley Pop. It really is lighter and crisper than the larger, yellow kernels. None of those large hulls either. The only differen... | Positive
| 5 | NIv2 | task586_amazonfood_polarity_classification | fs_opt | [
-0.2698878049850464,
-0.03181978315114975,
-0.4141245484352112,
-0.01773875392973423,
0.41985470056533813,
-0.3577365577220917,
0.5578775405883789,
0.9453824758529663,
0.08288358896970749,
0.5426919460296631,
0.5110483765602112,
1.0282062292099,
0.012238258495926857,
-0.34314411878585815,
... |
Detailed Instructions: In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put... | [77, -24, -165, -67, -320, -53, 208, -161, -37] | 9 | NIv2 | task122_conala_list_index_addition | zs_opt | [
-0.08289624005556107,
-0.26343005895614624,
-0.7591761350631714,
-0.48500075936317444,
0.1978868842124939,
-0.1838119924068451,
0.7523525953292847,
0.6359548568725586,
-0.5672333240509033,
0.038609787821769714,
-0.5338815450668335,
0.35489773750305176,
-0.1390562802553177,
-0.3854974210262... |
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Example: The girls continue to speak with one another while the girl knits. They
Example solution: put the bars around while speaking and play.
Example explanation: This is incorrect as th... | Solution: continues working out and tapes itself up while his yard is shown up around him. | 5 | NIv2 | task454_swag_incorrect_answer_generation | fs_opt | [
0.061457715928554535,
1.399441123008728,
-0.5861674547195435,
0.00875173881649971,
-0.18560779094696045,
-0.22844676673412323,
-0.7388244271278381,
0.4795892834663391,
-0.1799508035182953,
0.09454059600830078,
-0.6570701599121094,
0.11047562211751938,
-0.025494301691651344,
-0.174930989742... |
You will be given a definition of a task first, then some input of the task.
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.
['1569', 'Y', '3671', 's', '299']
Output: | Y, s | 1 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
0.19394265115261078,
0.3944418430328369,
-0.24054181575775146,
0.18985742330551147,
0.11651349812746048,
-0.1998721957206726,
0.27578800916671753,
-0.23593688011169434,
0.4275849461555481,
0.4771367311477661,
-0.03836195170879364,
0.035834163427352905,
0.010940087027847767,
-0.384857833385... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Input: 人が存在しない場所に名前があるのです
Output: | اسامی ای در اختیار داریم برای جاهایی که آدم توش نیست. | 3 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
0.18553057312965393,
0.1935168206691742,
-0.09036479890346527,
-0.4472504258155823,
0.010841106995940208,
-0.5274653434753418,
1.1557174921035767,
-0.2260291874408722,
0.0500311478972435,
0.1874525249004364,
-0.789770245552063,
-0.15597286820411682,
-1.0654199123382568,
-0.2256357371807098... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task 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 ... | 133. | 0 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.7292799949645996,
0.5979279279708862,
-0.30107980966567993,
-0.289716899394989,
0.4314616322517395,
-0.7963093519210815,
1.2820624113082886,
0.5209195613861084,
0.1133686900138855,
-0.09248339384794235,
-0.46956345438957214,
0.5029491186141968,
-0.7763152122497559,
0.18358907103538513,
... |
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
| 3 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt | [
0.2265903651714325,
0.1895027607679367,
-0.7972012758255005,
-0.1073538064956665,
-0.5625914335250854,
-0.38858798146247864,
0.05806167423725128,
0.1509280651807785,
-0.21160395443439484,
0.182745099067688,
-1.0402681827545166,
-0.12177149951457977,
-0.25120699405670166,
-0.448237121105194... |
Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and th... | Judy worked extra hard to make up for her size. She managed to be accepted for the next semester. Now Judy is one of the best cops
| 5 | NIv2 | task269_csrg_counterfactual_story_generation | fs_opt | [
0.7397567629814148,
0.3954630494117737,
0.15098588168621063,
0.048012591898441315,
0.4091336727142334,
-1.2876344919204712,
-0.012055214494466782,
1.3022098541259766,
-0.33580756187438965,
-0.23824073374271393,
-0.7122997641563416,
0.0921982154250145,
-0.16420066356658936,
0.35480493307113... |
Q: In this task, you need to Translate Czech text to English.
Optická planární mnohavidová POF rozbočnice je tvořená vlnovodnou strukturou, skládající se ze vstupního vláknového POF vlnovodu (1), který je připojen na vstupní kanálkový vlnovod (2) tvořený vrstvou fotopolymeru v substrátu (3) z polymeru PMMA a přes taper... | The optical planar multimode POF branching point according to the present invention is formed by a waveguide structure consisting of an input fibrous POF waveguide (1) that is connected to an input channel waveguide (2) formed by a layer of a photopolymer in a substrate (3) from a PMMA polymer and via a tapered channel... | 7 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
0.28814172744750977,
0.023099612444639206,
-0.31407588720321655,
0.4808782935142517,
0.5379683971405029,
0.271156907081604,
1.085323691368103,
1.070641279220581,
0.34369057416915894,
0.3798598647117615,
-0.583727240562439,
0.27543875575065613,
-0.17762933671474457,
0.24830707907676697,
-... |
Detailed Instructions: Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Problem:Si Pope Shenouda III ng Alexandria, ang pinuno ng simbahang ng Egypt na Coptic Christian, ay namatay sa edad na 88.... | エジプトのコプト正教会のリーダーであるアレクサンドリア教皇シェヌーダ3世が88歳で亡くなった。 | 8 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
0.5752122402191162,
-0.40604367852211,
-0.6315777897834778,
-0.7158632278442383,
-0.40385735034942627,
-1.01659095287323,
0.342934250831604,
0.13959255814552307,
-0.32971423864364624,
0.5167933702468872,
-0.24136102199554443,
0.5947965383529663,
-1.012606143951416,
-0.07307174801826477,
... |
Instructions: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in... | VBZ | 3 | NIv2 | task347_hybridqa_incorrect_answer_generation | zs_opt | [
0.38445472717285156,
0.07288941740989685,
-0.7763381004333496,
0.28160738945007324,
0.0212160162627697,
-0.8634868264198303,
1.0692298412322998,
0.3163527250289917,
-0.33261868357658386,
-0.3654547333717346,
-0.4206123352050781,
0.32758045196533203,
-0.2843300402164459,
0.0937754213809967,... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Problem:Ho avuto paura di dirlo a tutti. "" E poi la sorella più grande si alzò e disse, "" Anche io convivo col virus, e me ne vergognavo. "" E poi suo fratello più piccolo si alzò in piedi e disse, ... | I've been afraid to tell everybody. "" And then this older sister stood up and said, "" I too am living with the virus, and I've been ashamed. "" And then her younger brother stood up and said, "" I'm also positive. | 8 | NIv2 | task1247_ted_translation_it_en | zs_opt | [
0.037072960287332535,
0.689380943775177,
-0.15121883153915405,
0.08467084169387817,
-0.4890701472759247,
-0.8157052397727966,
-0.3057843744754791,
1.3863682746887207,
0.03838840872049332,
-0.5365443825721741,
-0.28908976912498474,
0.5366387367248535,
-1.0852525234222412,
-0.506093144416809... |
The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Ebony feels relieved.
joy
My aunt made me feel annoyed.
anger
My aunt told... | joy
| 0 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.5814176797866821,
0.09171523153781891,
0.23323020339012146,
-0.29632115364074707,
-0.3136920928955078,
-1.1435863971710205,
0.6528754234313965,
0.5529026985168457,
0.3731912672519684,
-0.20509198307991028,
-0.9708088636398315,
-0.23009192943572998,
-0.4712563753128052,
-0.04543084651231... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Q: Passage: Chibnall suggested including a "bon... | Answer: The Wedding of River Song". | 4 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
0.8516663312911987,
0.5180593729019165,
-0.383448988199234,
-0.1641714870929718,
-0.34260648488998413,
-0.02657717652618885,
0.6174744963645935,
0.18174700438976288,
0.41444647312164307,
0.4312881827354431,
-0.67716383934021,
0.7822471857070923,
-0.5171576738357544,
0.2500234544277191,
0... |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | Yes | 3 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.4233776330947876,
0.22189253568649292,
0.43910229206085205,
-0.13792040944099426,
-0.4986964464187622,
-0.9459182620048523,
1.3710296154022217,
0.04217402637004852,
-0.3541291058063507,
-0.4920750558376312,
-0.25650495290756226,
-0.46448832750320435,
-0.7886379957199097,
0.51687961816787... |
Teacher:The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), o... | No | 6 | NIv2 | task357_casino_classification_negotiation_small_talk | zs_opt | [
-0.3148006498813629,
0.7178897857666016,
-0.5648336410522461,
-0.287435919046402,
-0.6314014792442322,
-0.49923092126846313,
0.40870678424835205,
0.9518064856529236,
-0.341237336397171,
-0.07243308424949646,
-0.20005348324775696,
0.24710479378700256,
-0.8369346857070923,
-0.162885338068008... |
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 ... | regulated | 8 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
0.5218212604522705,
0.628450870513916,
0.12777355313301086,
-0.5282039642333984,
-0.16943994164466858,
-0.7967740297317505,
0.16926532983779907,
0.49586552381515503,
-0.14087125658988953,
-0.9039838910102844,
-1.0712058544158936,
-0.3852618932723999,
-0.814822256565094,
0.2973848581314087,... |
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.
Q: Text: this happened a few hours ago.
after visiting asda, me and friend came outside to see 3 young bo... | kids threatened my friend, he slashed their bike tyres, got chased by older brothers around town for about an hour | 4 | NIv2 | task511_reddit_tifu_long_text_summarization | zs_opt | [
0.09515027701854706,
0.8769983053207397,
-0.41513532400131226,
-0.7600057721138,
-0.3337300419807434,
-0.20804879069328308,
0.5866641998291016,
0.8570850491523743,
0.5209747552871704,
-0.09547083079814911,
-0.38800927996635437,
0.8284698128700256,
-0.6331695318222046,
-0.27815166115760803,... |
Detailed Instructions: 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.
See one example below:
Problem: [1, 2, 3]
Solution: [0.167, 0.333, 0.500]
Explanation: The o... | [ 0.162 0.364 0.238 0.178 0.152 -0.093] | 4 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.3287595212459564,
0.42584046721458435,
-1.0887210369110107,
-0.649097204208374,
0.29412728548049927,
-0.1498660296201706,
0.9751256704330444,
0.1020316630601883,
0.07273419201374054,
0.06571570038795471,
-0.7102131843566895,
0.39309582114219666,
-0.31295397877693176,
-0.3423588275909424... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Q: Beginning: Steve deci... | 2 | 4 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
-0.409606397151947,
-0.0335267148911953,
0.34414011240005493,
-0.4035016596317291,
0.09047865867614746,
-0.01258441898971796,
-0.13284797966480255,
1.1637096405029297,
0.41899019479751587,
-0.023632237687706947,
-0.732171356678009,
-0.3470650911331177,
-0.49458038806915283,
-0.350820243358... |
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in ... | PersonX had a more remarkable physique than PersonY because _ was always in the gym working out.
****
| 4 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.3644444942474365,
0.18001005053520203,
-0.4118657112121582,
0.2671350836753845,
0.4442988634109497,
-0.6640294790267944,
0.8833373785018921,
0.6486347913742065,
0.026059692725539207,
-0.7180618643760681,
-0.5342220664024353,
-0.36776378750801086,
-0.6490943431854248,
0.09905441850423813,... |
Detailed Instructions: Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
See one example below:
Problem: ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ່ງຂັນຣັກບີ້ລະດັບໂລກປີ 2007 ທີ່ ປາກເດແພຣັງ ປາ... | プリマスはその後ライアン・マクギニス選手とダン・コリンズ選手の2ゴールで盛り返した。 | 4 | NIv2 | task1125_alt_lo_ja_translation | fs_opt | [
-0.24050185084342957,
0.5373270511627197,
-0.8139453530311584,
0.5989884734153748,
-0.17123040556907654,
-0.5845351219177246,
0.4444033205509186,
0.340644508600235,
0.13126878440380096,
-0.6222004890441895,
-1.1036714315414429,
1.0483176708221436,
-0.6272093057632446,
0.8647492527961731,
... |
instruction:
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
question:
Comment: Why don't they pass a motion commending the London attacker?
an... | Non-insult
| 9 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.470630407333374,
0.582087516784668,
0.7616614103317261,
0.256952702999115,
0.10380518436431885,
-0.347134530544281,
0.044708192348480225,
0.7911607027053833,
0.5343214869499207,
0.7190546989440918,
0.3902672529220581,
0.20950716733932495,
-0.5057398676872253,
-0.7507268190383911,
-0.0... |
Given the task definition, example input & output, solve the new input case.
Given a part of privacy policy text, classify it into one of these categories:
(1) First Party Collection/Use (how and why a service provider collects user information),
(2) Third Party Sharing/Collection (how user information may be share... | User Choice/Control | 1 | NIv2 | task682_online_privacy_policy_text_classification | fs_opt | [
-0.6524752974510193,
0.11171901971101761,
-0.5069566965103149,
0.16808590292930603,
0.2836100161075592,
-0.13766583800315857,
0.11570966988801956,
0.8420857191085815,
0.16650250554084778,
0.5033929944038391,
0.12191537022590637,
0.160849466919899,
0.15172839164733887,
-0.7844408750534058,
... |
Q: 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... | b | 7 | NIv2 | task232_iirc_link_number_classification | zs_opt | [
0.5865899324417114,
0.005737861152738333,
-0.6380407810211182,
-0.08415806293487549,
0.5481661558151245,
-0.6265605688095093,
1.036104440689087,
0.6794739961624146,
-0.3175315260887146,
-0.15542206168174744,
-0.3226759135723114,
0.6067207455635071,
-0.5963231921195984,
0.05433862283825874,... |
Teacher: In this task, you are given a sentence in English language and its corresponding French translation. Here, your job is to output "yes" if the translation is correct, otherwise output "no".
Teacher: Now, understand the problem? If you are still confused, see the following example:
English: What can I do?
Fren... | no | 2 | NIv2 | task831_giga_fren_classification | fs_opt | [
-0.26101914048194885,
0.5339250564575195,
0.9468390345573425,
-0.3057735562324524,
0.527165412902832,
-0.15566366910934448,
-0.36956095695495605,
0.5936079025268555,
0.1459866762161255,
0.37692028284072876,
-0.20832574367523193,
0.05396737903356552,
-0.848587155342102,
-1.265796184539795,
... |
You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Example: System Reference: there is a chinese restaurant on x called x.
Original Reference: x is a chinese restauran... | Solution: 0 | 5 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-0.4185304641723633,
0.8954952955245972,
-0.5484834909439087,
0.10104577243328094,
-0.37754321098327637,
-0.19081291556358337,
1.1520583629608154,
0.6418846845626831,
-0.23510783910751343,
-0.1498732715845108,
-0.08961416035890579,
-0.2671346664428711,
-0.2258092761039734,
-0.0144362971186... |
Q: In this task, you will be presented with a question having multiple possible answers in Italian language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Dove metteresti una pentola se non hai bisogno di usarla?
Options: A armadio B ris... | A | 7 | NIv2 | task1143_xcsr_it_commonsense_mc_classification | zs_opt | [
0.6588555574417114,
0.6654374599456787,
-0.37625718116760254,
0.23235265910625458,
-0.24269159138202667,
-0.8156322836875916,
0.1311473250389099,
0.9362951517105103,
0.07497651129961014,
-0.2259656935930252,
0.3842235207557678,
0.5892757177352905,
0.2450047880411148,
-0.25374454259872437,
... |
instruction:
Given a scientific question, generate a correct answer to it.
question:
Which part of the nerve cell helps transmit nerve impulses?
answer:
long, threadlike extensions
question:
What type of analysis is performed to study gene expression patterns in cells?
answer:
rna analysis
question:
Geologists grou... | form
| 9 | NIv2 | task591_sciq_answer_generation | fs_opt | [
-0.4881432354450226,
0.3111690580844879,
-0.041236329823732376,
0.05101512372493744,
-0.4920806288719177,
-0.8476020693778992,
0.3010002076625824,
0.44623255729675293,
-0.3170311450958252,
-0.23709571361541748,
-0.4358106255531311,
0.3654749393463135,
-1.0480730533599854,
0.253098547458648... |
A text is given in English. Translate it from the English language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: जपानमध्येही भारत आणि भारतीयांविषयी प्रेम आणि आदरभावना आहे.
A: | There has also been love and respect for India and Indians in Japan. | 4 | NIv2 | task1086_pib_translation_marathi_english | zs_opt | [
0.9059864282608032,
0.08232322335243225,
0.23807759582996368,
-0.010037196800112724,
-0.10684230923652649,
-1.3088328838348389,
0.9578163027763367,
-0.0048344009555876255,
-0.4103638529777527,
-1.1155661344528198,
-0.14375564455986023,
-0.06222963705658913,
-0.5217651128768921,
0.556285858... |
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
The cold air inunda... | plants
| 0 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
-0.11015317589044571,
1.1036193370819092,
-0.20750880241394043,
-0.227136492729187,
-0.1126384511590004,
-1.2316904067993164,
0.5312241911888123,
0.582665205001831,
-0.3253488540649414,
0.23975636065006256,
0.03764438256621361,
0.24730034172534943,
-0.7597731947898865,
-0.05380970984697342... |
instruction:
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
question:
O obxectivo deste xogo é pillar aos enemigos zombies antes que te collan eles a ti.
answer:
(Dźwięk strzałów) Celem gry jest zabicie złych zombie, zanim one zabiją ciebie.
question:
A desorientació... | Znasz dwie osoby, których promienie są dobre, ale groty beznadziejne.
| 9 | NIv2 | task1244_ted_translation_gl_pl | fs_opt | [
-0.6766063570976257,
0.6191073656082153,
-0.42178234457969666,
-0.6605384349822998,
-0.38922011852264404,
-0.6990897059440613,
1.814444899559021,
-0.7911451458930969,
-0.780835747718811,
-0.23269230127334595,
-0.37037912011146545,
0.26744434237480164,
-0.8005021810531616,
0.306165933609008... |
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Input: Consider Input: Sentence1: the cambridge and county folk museum is located 2-3 castle street Sentence2: Yes, that would be great. There will be 7 of us. Sentence3: Do you have any 0 ... | Output: Answer: (A) User
| 2 | NIv2 | task638_multi_woz_classification | fs_opt | [
0.8668613433837891,
0.6928497552871704,
-0.84641432762146,
-0.34298375248908997,
0.4723266661167145,
-1.395838975906372,
0.4802546501159668,
0.7365233898162842,
-0.5893557071685791,
-0.24826115369796753,
-0.17208832502365112,
0.3333468735218048,
-0.28324657678604126,
0.1825776994228363,
... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Input: そして情報の中で迷子になったら情報の地図は役に立つことでしょう
Output: | و هنگامی که در اطلاعات گم می شوید ، این نقشه اطلاعات یک جورهایی پرکاربدر است. | 3 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
0.48833683133125305,
0.40342438220977783,
-0.4537588953971863,
0.11579275131225586,
-0.16171832382678986,
-0.9425532817840576,
0.7102720141410828,
-0.33816802501678467,
0.15789684653282166,
0.01475483737885952,
-0.5241163969039917,
-0.1426844745874405,
-0.3179684281349182,
-0.0643406659364... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Problem:Vocês trabalham nas linhas da frente. E viram o melhor e o pior que os seres humanos podem fazer uns pelos outros e uns aos outros.
Solution: | Pracujecie na pierwszym froncie. Widzieliście najlepsze i najgorsze, co jeden człowiek może zrobić drugiemu lub dla drugiego. | 8 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.3984981179237366,
0.8614791631698608,
-0.18381652235984802,
-0.21687713265419006,
-0.4213799238204956,
-0.079444020986557,
0.6787486672401428,
-0.16018244624137878,
0.6160286068916321,
0.4089052975177765,
-0.7085864543914795,
0.40949496626853943,
0.3307414948940277,
0.07741484045982361,... |
Part 1. Definition
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.
Part 2. Example
In... | Not paraphrase | 7 | NIv2 | task400_paws_paraphrase_classification | fs_opt | [
-0.07264947891235352,
-0.30581536889076233,
-0.377327561378479,
-0.1415526270866394,
0.1336403489112854,
-0.7030239105224609,
1.0549530982971191,
0.027622241526842117,
0.04113541916012764,
0.22868891060352325,
-0.6702660322189331,
0.3882380723953247,
-0.8538315296173096,
0.8645506501197815... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
The man then begins to solve the rubix cube. He | continues working on the cube and solves it by putting it on the table. | 0 | NIv2 | task453_swag_answer_generation | zs_opt | [
0.3241070806980133,
1.4582839012145996,
-0.09252732247114182,
-0.8689031600952148,
-0.6390502452850342,
0.5211937427520752,
0.7167227268218994,
-0.02008853480219841,
0.6277601718902588,
-0.4634425640106201,
-0.4742051959037781,
-0.23635995388031006,
-0.7653603553771973,
0.06865084171295166... |
Instructions: In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the... | False | 3 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | zs_opt | [
-0.5111045837402344,
0.3933737874031067,
-0.535001277923584,
-0.40395084023475647,
-0.9296147227287292,
0.3047015070915222,
1.344228982925415,
0.39055335521698,
-0.2579638361930847,
0.6146918535232544,
-1.0697051286697388,
0.4254666566848755,
-1.5296157598495483,
0.03465628623962402,
0.6... |
In this task, you are to Translate German text to English
bis VIII. | to VIII. | 0 | NIv2 | task841_para_pdt_de_en_translation | zs_opt | [
0.1152534931898117,
0.3122600317001343,
-0.019334964454174042,
-0.034325867891311646,
-0.6363559365272522,
-0.6989916563034058,
1.0221290588378906,
-0.025856368243694305,
0.10832852125167847,
-0.2897636592388153,
-0.009443655610084534,
-0.2239338457584381,
-0.795547604560852,
0.10715794563... |
A question is presented to you in this task, and your job is to write a potentially correct answer.
Input: Consider Input: where is angola located?
Output: Africa
Input: Consider Input: what type of government does australia use?
Output: Constitutional monarchy
Input: Consider Input: what films did charlie chapl... | Output: A King in New York
| 2 | NIv2 | task1412_web_questions_question_answering | fs_opt | [
0.14738285541534424,
0.8808639645576477,
0.0001199671532958746,
-0.23852233588695526,
-0.7992218136787415,
-0.3576076626777649,
0.22712858021259308,
0.09004656970500946,
0.07794229686260223,
-0.1474369466304779,
0.09508965909481049,
-1.1751213073730469,
-0.06801235675811768,
-0.24384737014... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Ex Input:
Era un día caluroso, e nos atopabamos no río.
Ex Output:
Estava um dia quente, e nós estávamos na beira do rio.
Ex Input:
Debido á calor quiteime os zapatos, remangueime os pantalóns e entrei na auga.
Ex ... | E tivemos bastante sorte em descobrir que as mutações que danificam um único gene chamado daf-2 duplicam o tempo de vida daquele pequeno verme.
| 1 | NIv2 | task1246_ted_translation_gl_pt | fs_opt | [
-0.33834224939346313,
0.468271404504776,
-0.7897075414657593,
-0.24496568739414215,
-1.0501736402511597,
-1.5569145679473877,
0.35326677560806274,
0.7939308881759644,
-0.38306474685668945,
-0.3406948149204254,
-0.780110239982605,
0.19269731640815735,
-0.7775717973709106,
-0.277448177337646... |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
The station gained 737,000 listeners in the last quarter, thanks in part to new presenters Clara Amfo and Annie Mac. Breakfast DJ Nick Grimshaw also ... | Radio 1 gains 750,000 listeners after schedule changes | 0 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
-0.15560993552207947,
0.08202287554740906,
-0.3843686878681183,
0.00030901748687028885,
0.8975886702537537,
0.12495557963848114,
0.0718977227807045,
0.3451199233531952,
-0.21088284254074097,
0.49562108516693115,
-0.20180343091487885,
-0.24792909622192383,
-1.0252712965011597,
-0.4309143424... |
instruction:
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
question:
James Dougherty, born on April 12th 1921 was an American police officer who rose to fame for being the first husband of which famous woman?
answe... | francois pienaar
| 9 | NIv2 | task898_freebase_qa_answer_generation | fs_opt | [
0.19067776203155518,
0.5716775059700012,
-0.3692195415496826,
-0.5381007790565491,
-0.3814718723297119,
0.27637651562690735,
0.10740597546100616,
0.29028967022895813,
0.46923914551734924,
0.17431437969207764,
-0.678178608417511,
0.4564414620399475,
-0.38575315475463867,
-0.7476208209991455... |
Categorize the comment on the basis of sexual explicitness. If the comment is sexually explicit output Yes, otherwise output No.
Example: hahahahahahahahhha suck it.
Example solution: Yes
Example explanation: The comment has the word 'suck' in it and is classified as sexually explicit. Hence, it is a positive example
... | Solution: No | 5 | NIv2 | task1723_civil_comments_sexuallyexplicit_classification | fs_opt | [
-1.6598777770996094,
-0.15766771137714386,
-0.14743256568908691,
0.11397967487573624,
-0.49164217710494995,
-0.47076544165611267,
0.8888422846794128,
0.696833074092865,
-0.08208002895116806,
-0.2663538455963135,
-0.5499951839447021,
-0.0235990472137928,
-0.1245756596326828,
-0.659042119979... |
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
--------
Question: A... | gym
| 7 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
0.3972671627998352,
0.482051819562912,
-0.46624869108200073,
-1.032211422920227,
-0.4355095624923706,
0.23025578260421753,
1.2799696922302246,
0.6288436055183411,
-0.008198549970984459,
-0.3877585828304291,
-0.3551566004753113,
-0.13211792707443237,
-0.2554347515106201,
-0.1457060575485229... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | Johnny waited at the bus station for the flight. | 0 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.4097371995449066,
0.6277800798416138,
0.24197544157505035,
-0.3915215730667114,
-0.2955981492996216,
0.16335755586624146,
0.08840060979127884,
0.4241761863231659,
-0.3748852014541626,
-0.5750948786735535,
-0.7901498079299927,
0.5346351861953735,
-0.5779677629470825,
-0.2839731276035309,
... |
Given the task definition and input, reply with output. 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). Person... | Yes | 5 | NIv2 | task1215_atomic_classification_capableof | zs_opt | [
0.26087576150894165,
0.5891252756118774,
0.445273756980896,
0.0191106665879488,
-0.24175672233104706,
-0.2856642007827759,
1.0032756328582764,
0.21875910460948944,
0.26039066910743713,
-0.4872918128967285,
-0.8005561828613281,
-0.014909551478922367,
-0.6003918647766113,
0.2360849231481552,... |
In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office Holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Fil... | 13 | 6 | NIv2 | task629_dbpedia_14_classification | fs_opt | [
0.12444653362035751,
0.7906804084777832,
0.5135401487350464,
-0.8033881187438965,
-0.14522871375083923,
0.09317855536937714,
0.16870060563087463,
0.5621864199638367,
-0.5734754204750061,
0.11692800372838974,
-0.3505169749259949,
0.31640851497650146,
-0.28287622332572937,
-0.652098894119262... |
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.... | [474] | 0 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-1.136710524559021,
-0.02354644052684307,
-0.4178786277770996,
-0.24008265137672424,
-0.3478583097457886,
0.4158693552017212,
1.0647187232971191,
-0.014416679739952087,
-0.5161914825439453,
0.05997401103377342,
-0.7268795371055603,
-0.07658471912145615,
-0.19581753015518188,
-0.11646386235... |
Part 1. Definition
Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
Part 2. Example
Earth rotates on its axis once times in one day.
Answer: How many times does Earth rotate on its axis in one day?
Explanation: The given output correctly poses a question ... | What protects tissues of the central nervous system from changes in ph? | 7 | NIv2 | task1552_scitail_question_generation | fs_opt | [
0.08848580718040466,
0.4786817133426666,
-0.5614649653434753,
-0.03255084156990051,
-1.0855659246444702,
-1.6338372230529785,
0.4616506099700928,
-0.2459219992160797,
-0.5656722784042358,
-0.1800370067358017,
-1.0075980424880981,
0.3223647475242615,
-0.6520156860351562,
0.01269807014614343... |
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'a man holding a flashlight hold an umbrella also', Sentence2: 'a kitchen counter sitting in the middle of a kitchen'. Is the frequency of the word 'flashlight' in two sentences equal? | No | 0 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt | [
-0.3069275915622711,
0.2696947455406189,
-0.5107461214065552,
-0.39184561371803284,
0.035874444991350174,
-0.8320801258087158,
0.5862026810646057,
1.0388672351837158,
0.04234163835644722,
0.015923943370580673,
-0.5123450756072998,
-0.6262226104736328,
-0.5113381147384644,
0.137364581227302... |
In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position is the nu... | 5, The carpet looked almost new after it was cleaned. | 4 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-1.0357095003128052,
0.9109877347946167,
-0.048935092985630035,
-0.8755189180374146,
0.6526408791542053,
-0.11028411984443665,
-0.14367832243442535,
0.6257474422454834,
0.1671924740076065,
0.3106188178062439,
-0.39483729004859924,
-0.4092663526535034,
-0.09265001118183136,
-0.1115093901753... |
Given the task definition and input, reply with output. In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be un... | No | 5 | NIv2 | task607_sbic_intentional_offense_binary_classification | zs_opt | [
-1.2226347923278809,
0.5713447332382202,
0.6820228099822998,
0.6040480136871338,
0.011699611321091652,
0.07375217974185944,
0.17146793007850647,
0.3901918828487396,
0.25250667333602905,
0.22425873577594757,
-0.2125515639781952,
-0.08945046365261078,
-0.6017346382141113,
-0.1450514495372772... |
You are given a dialog between 2 or more individuals. You need to generate the number of the speaker (e.g. 1 for Speaker 1) who had the most lines in the dialog. If there is a tie, output the answer '0'.
Speaker 1: Hello, Mark? Hi, it's Rachel Green. Oh no, don't you apologize. Yeah, I'll hold. He left my number at wo... | 1 | 0 | NIv2 | task909_dialogre_prevalent_speakers | zs_opt | [
-0.10548027604818344,
0.39462515711784363,
-0.10281187295913696,
-0.2399352341890335,
-0.24535547196865082,
0.4285961389541626,
0.11482509225606918,
0.5441631078720093,
0.8272606134414673,
-0.04976842552423477,
-0.7637341022491455,
-0.06932121515274048,
0.032300129532814026,
-0.11663592606... |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common'... | film
| 0 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.29061242938041687,
0.2370234727859497,
-0.24597913026809692,
0.12945793569087982,
0.5273823142051697,
0.13486650586128235,
-0.0044811805710196495,
0.3765799105167389,
-0.25005531311035156,
0.05132371559739113,
-0.23593613505363464,
-0.234892338514328,
-0.22434507310390472,
-0.49387443065... |
Detailed Instructions: 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 expa... | yes | 4 | NIv2 | task361_spolin_yesand_prompt_response_classification | fs_opt | [
0.6251015663146973,
0.43216046690940857,
0.2578604221343994,
0.35039037466049194,
-0.06711552292108536,
-1.1769071817398071,
-0.088262178003788,
0.6435940861701965,
0.32892704010009766,
-0.04125972092151642,
-0.6563020944595337,
0.17265896499156952,
-0.5021058320999146,
0.6621726155281067,... |
Given the task definition and input, reply with output. In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Gillian Holroyd (Kim Novak) is a witch. Secretly, she's attracted to her quite normal neighbor Shep ... | positive | 5 | NIv2 | task284_imdb_classification | zs_opt | [
-1.0312751531600952,
0.6339107751846313,
-0.025859743356704712,
-0.6408873796463013,
0.38718727231025696,
-0.024832047522068024,
0.924708366394043,
0.005030888132750988,
0.2942889332771301,
0.26228067278862,
-0.10071377456188202,
-0.15473079681396484,
-0.5893145799636841,
-0.20946903526782... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contain... | Non-obscene | 8 | NIv2 | task326_jigsaw_classification_obscene | zs_opt | [
-0.37215298414230347,
0.2853623330593109,
0.7381653785705566,
0.8269596099853516,
0.047040652483701706,
-0.43332505226135254,
-0.29253914952278137,
0.6307811737060547,
0.10161378234624863,
0.9359246492385864,
0.08405929803848267,
-0.13990630209445953,
0.047656867653131485,
-0.9623942971229... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Input: Consider Input: How did the empire of ND football begin?, Context: Notre Dame rose to national prominence in the early 1900s for its Fighting Irish football team, especially under the guidan... | Output: rainfall
| 2 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.47313088178634644,
0.22415278851985931,
-0.979235827922821,
-0.5079301595687866,
-0.18041571974754333,
-0.056443773210048676,
0.6549228429794312,
0.6585586071014404,
0.2897610068321228,
0.800094485282898,
0.41826459765434265,
0.379932165145874,
-0.9911978244781494,
0.14836537837982178,
... |
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Example: Sentence1: While it was being called mandatory , Dupont said authorities were not forcing people from their homes ., Sentence2: It was called mandatory , but Dupont said... | Solution: Yes | 5 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
-0.9695508480072021,
0.5745425224304199,
0.30588650703430176,
-0.12663894891738892,
-0.018199123442173004,
-0.5644030570983887,
0.34169435501098633,
1.052110195159912,
0.3482574224472046,
0.02070809155702591,
-0.48526787757873535,
-0.10586589574813843,
-0.399492472410202,
-0.39473184943199... |
Definition: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Input: Conceived in the early 1990s, Experience Replay (ER) has been shown to be a successful mechanism to allow online learning algorithms to reuse past ex... | Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data | 2 | NIv2 | task1540_parsed_pdfs_summarization | zs_opt | [
-0.5597537159919739,
0.008200986310839653,
-0.06505444645881653,
-0.043210409581661224,
-0.24825981259346008,
-0.44636303186416626,
0.5355516076087952,
1.096545934677124,
0.4496620297431946,
0.437995970249176,
0.08761053532361984,
0.5909963250160217,
-0.6792455315589905,
0.4239034354686737... |
TASK DEFINITION: In this task, you need to replace a letter in the sentence with another given letter.
PROBLEM: Sentence: 'a city street with cars and busses near buildings'. Replace the letter 'e' with 'd' in the sentence.
SOLUTION: a city strddt with cars and bussds ndar buildings
PROBLEM: Sentence: 'there is a big... | a person holdvng the head of a small wet dog
| 8 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.202768474817276,
0.3378358483314514,
-0.34909552335739136,
-0.6706229448318481,
-0.07302090525627136,
0.12440674006938934,
0.9153093099594116,
0.07102549076080322,
0.08922747522592545,
-0.40974950790405273,
-0.3707135319709778,
0.03633216768503189,
-0.3553800582885742,
-0.05184324830770... |
Detailed Instructions: The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Q: PersonX marries PersonY's sister
A: | to marry a person | 9 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.5870974659919739,
0.9477644562721252,
0.10357724130153656,
-0.7376607656478882,
-0.34306174516677856,
-0.659411609172821,
0.47300082445144653,
0.26615267992019653,
0.8323544263839722,
-0.18294885754585266,
-0.2696847915649414,
0.17745788395404816,
-0.5771107077598572,
0.5638834238052368... |
Definition: In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office Holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)A... | 12 | 2 | NIv2 | task629_dbpedia_14_classification | zs_opt | [
-0.0954023003578186,
0.3505094647407532,
0.09792923927307129,
0.4235225319862366,
0.32920292019844055,
0.07428756356239319,
-0.2053729146718979,
0.3254051208496094,
0.1333383321762085,
-0.18481464684009552,
-0.11128249764442444,
0.14154678583145142,
-0.2248396873474121,
-0.2861420512199402... |
In this task, you need to count the number of nouns/verbs in the given sentence.
Let me give you an example: Sentence: 'A small toy kept on tray held by a man'. Count the number of nouns in this sentence.
The answer to this example can be: 3
Here is why: The words 'toy', 'tray', and 'man' are nouns in this sentence. S... | 0 | 8 | NIv2 | task155_count_nouns_verbs | fs_opt | [
0.1044415682554245,
0.7634401917457581,
-0.7796831130981445,
-0.44377246499061584,
0.04285534471273422,
-0.08683229237794876,
0.9784510135650635,
0.5596880316734314,
-0.09454703330993652,
-0.3234913945198059,
-0.45814332365989685,
0.6935790181159973,
-0.560327410697937,
0.3306673467159271,... |
Detailed Instructions: Given a sentence in Spanish, generate a new Spanish 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 reasona... | Si quieres disfrutar de una sensación entonces usted debe VER una película. | 4 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.3903929889202118,
0.5463371872901917,
-0.4256962537765503,
0.040355533361434937,
-0.2766937017440796,
-0.6679617166519165,
0.37398651242256165,
1.3203338384628296,
0.18304020166397095,
-0.5070911645889282,
-0.4690890312194824,
0.1327209323644638,
-0.2091323286294937,
0.05739257484674454... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Ex Input:
این گروه ماهیانه خلاصه‌ای از مطالب خود را به صورت فایلی با قالب پی‌دی‌اف در آورده و در دسترس همگان قرار می‌دهد.
Ex Output:
Their insight has brought friction towards the authors from readers and conversely stre... | Syrian Maysaloon is surprised with the double standards applied by different countries:
| 1 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
-0.8394150137901306,
-0.20368996262550354,
-0.6726869344711304,
0.3888098895549774,
-0.3741629123687744,
-0.27279990911483765,
1.1543183326721191,
-0.05639105662703514,
0.7651104927062988,
0.07478848844766617,
-0.4482128620147705,
0.07880754768848419,
-0.35514208674430847,
0.05655267834663... |
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