inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
இந்தியா அல்லது உஸ்பெகிஸ்தானிடமிருந்த... | తద్వారా వ్యవసాయదారుల సముదాయానికి, మొత్తం మీద వ్యవసాయ రంగానికి ప్రయోజనం చేకూరుతుంది. | 0 | NIv2 | task1075_pib_translation_tamil_telugu | fs_opt | [
-0.06897857785224915,
0.8287411332130432,
-0.11280910670757294,
0.23723432421684265,
0.04038997367024422,
-0.8081075549125671,
0.4864129424095154,
0.5017004609107971,
-0.5171661376953125,
0.38200339674949646,
-0.27764928340911865,
-0.059863656759262085,
-0.09903193265199661,
0.294670552015... |
Part 1. Definition
In this task, you are given books product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Part 2. Example
Hopeful for those who seek harmony in the world . I wou... | POS | 7 | NIv2 | task476_cls_english_books_classification | fs_opt | [
-0.20075583457946777,
0.2302544265985489,
-0.04247910901904106,
-0.0009284884436056018,
0.4412997364997864,
-0.9397425055503845,
0.5989081263542175,
0.11287391185760498,
0.4114251136779785,
0.4820514917373657,
-0.6135593056678772,
0.10318451374769211,
-0.31710347533226013,
-0.1424736976623... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Input: Puedo darles unas vueltas, esto, aquello, lo otro.
Output: | אני יכולה לתת לך מקבץ כזה או אחר. | 2 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
-0.15918366611003876,
0.8424650430679321,
-0.25305110216140747,
0.42894160747528076,
-0.5359567403793335,
-0.0710003599524498,
0.7549382448196411,
0.7785046100616455,
0.6027697324752808,
-0.6311463117599487,
-1.1095372438430786,
0.09243945777416229,
-0.6069302558898926,
-0.1166953966021537... |
TASK DEFINITION: In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
PROBLEM: Sentence1: Binh decided to wash her cat. Sentence... | No
| 8 | NIv2 | task298_storycloze_correct_end_classification | fs_opt | [
-0.0693015605211258,
0.05666416883468628,
-0.22384792566299438,
-0.002575324149802327,
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-0.2430451512336731,
-0.13905812799930573,
0.133374541... |
Definition: 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 fo... | I_LOOK I_LOOK I_LOOK I_TURN_RIGHT | 2 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.18845859169960022,
0.435955673456192,
-0.3552972674369812,
0.04114469885826111,
0.17108026146888733,
-0.11648335307836533,
0.3029811680316925,
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0.002600438427180052,
-0.7223508358001709,
-0.2567687928676605,
-0.7356907725334167,
-0.1138828620314... |
Given the task definition and input, reply with output. In this task, you are given a post in Spanish 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 n... | Non-hateful | 5 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.8529599905014038,
-0.18889594078063965,
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-0.505425214767456,
-0.1352013498544693... |
Q: In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Ve... | Art N Conj N N Conj Pron N Pron Adv Punc N Punc V V Punc V Art N Adv Adv Adv Conj Pron Adv Adj Art N V Punc | 7 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | zs_opt | [
-0.45476460456848145,
0.6199965476989746,
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-0.008731383830308914,
0.7408574819564819,
-0.31677162647247314,
0.0712510570883... |
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.
Example: ['238', 'h', '92', 'U', '2799']
Example solution: h, U
Example explanation: Here, the alphabetical elements in t... | Solution: l, X, K, g, V, n, h, a, Q, A | 5 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | fs_opt | [
-0.6020272374153137,
0.679550051689148,
-0.3121778964996338,
-0.42056137323379517,
-0.07543838024139404,
-0.3124047517776489,
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0.016511959955096245,
-0.4524069130420685,
-0.37315019965171814,
0.4584798216819763,
0.280982553958... |
Given the task definition and input, reply with output. 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... | No | 5 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.17238181829452515,
0.9357107281684875,
0.30880868434906006,
0.09029408544301987,
-0.30001574754714966,
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0.246795624494552... |
You will be given a definition of a task first, then some input of the task.
A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
उन्हों जांगला में एक बैंक शाखा का उद्घाटन किया तथा चुने हुए लाभार्थियों को मुद्र... | జాంగ్ లా లో ఒక బ్యాంకు శాఖను ఆయన ప్రారంభించారు. ముద్ర పథకం తాలూకు రుణ మంజూరు పత్రాలను ఎంపిక చేసిన లబ్ధిదారులకు ప్రదానం చేశారు. | 1 | NIv2 | task1045_pib_translation_hindi_telugu | zs_opt | [
-0.361743688583374,
0.48834455013275146,
0.09116387367248535,
0.5393502712249756,
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0.04357469081878662,
-0.6390460133552551,
-0.47080814838409424,
0.10800242424011... |
Instructions: This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Input: it was fine deciding single mums were the future ... ... but the frustrating truth was i did n't have their numbers .
Outpu... | it was a good decision that single mothers were the future ... but the truth was i did n't have the numbers on them . | 3 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
-0.5968493819236755,
0.8945237398147583,
-0.2807881832122803,
-0.6546590328216553,
-0.8116518259048462,
0.285456120967865,
0.6981101036071777,
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-0.7337708473205566,
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-0.31998923420906067,
-0.4496588110923767... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
One example is below.
Q: (تصفيق) ومع ذلك هناك معارك سياسية في بلدنا.
A: (Applause) However there is a political battle in our country.
Rationale: The Arabic sentence is correctly translated into English, because the meaning i... | So those three ways — transparency, accountability and choice — will make a huge difference. | 9 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.010141479782760143,
0.9630197882652283,
0.8074591755867004,
-0.9055718183517456,
0.03625263646245003,
-0.053405068814754486,
0.5923970937728882,
0.008903387002646923,
0.17211633920669556,
0.19084568321704865,
-0.3837398588657379,
0.2659071981906891,
-0.5154372453689575,
-0.2382962405681... |
Instructions: Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Input: Someone grabs onto someone's life vest but is swept away by the turbulence. Someone
Output: | rides closer on his elbows when a woman arrives. | 3 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
0.27793875336647034,
1.5240325927734375,
-0.9039546847343445,
-0.03621727228164673,
-0.3848639130592346,
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-0.03290819376707077,
0.37492477893829346,
-0.07967206835746765,
0.0764465481042862,
-0.49432480335235596,
-0.28930675983428955,
-0.9922219514846802,
-0.1922858655... |
Definition: In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research... | finding | 2 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.3333178162574768,
0.48552560806274414,
-0.19011355936527252,
-0.3110557794570923,
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1.1419765949249268,
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0.3549273610115051,
-1.4121181964874268,
0.5022470355033875,
0.4298657774925232,
-0.5487862229347229,
... |
You are given a statement written in Hindi. 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 .
[EX Q]: Statement: ऐसा कहा गया कि यह ब्रेकअप का कारण अजब प्रेम की गज़ब कहानी की शूटिंग के दौरान रणबीर कपूर और कैटरी... | मुंबई-
| 6 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | fs_opt | [
0.7931991815567017,
0.017687460407614708,
0.18450839817523956,
0.5831975936889648,
0.10666682571172714,
-0.7543621063232422,
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-0.36298680305480957,
0.6031360030174255,
-0.7125715017318726,
-0.046853087842464... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Example input: Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproducibile su scala.
Example output: Why? Because that profit allows whatever solution we've created to be infini... | It's a crazy story, but I believe it's perhaps the best and ultimate revenge against mosquitos ever. | 3 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
-0.6394649744033813,
0.6645644307136536,
0.44210636615753174,
-0.3107377290725708,
-0.5279947519302368,
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-0.05383535847067833,
0.6759990453720093,
0.505699634552002,
0.08363077789545059,
-0.2637174129486084,
1.0871670246124268,
-0.753911018371582,
0.11454752087593079,
... |
Given an object and a part, decide whether the object has that part. For example is you are asked 'gun has barrel', you need to decide if a gun has a barrel as one of its components or parts. All sentences strictly follow the template 'object has part?.' The answer should be 1 or 0, 1 means the object has the given par... | 0 | 0 | NIv2 | task1584_evalution_meronym_classification | zs_opt | [
-0.30579572916030884,
0.7114510536193848,
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-1.16166353225708,
0.3765696883201599... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby p... | wireless | 0 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.3027346432209015,
-0.04345118999481201,
-0.3743852376937866,
0.1842542290687561,
0.3905244469642639,
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-0.630919218063354... |
Teacher:Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Teacher: Now, understand the problem? Solve this instance: Category: fried food
Words: fritter, patty, divide, doughnut, du... | divide | 6 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
0.09464628249406815,
0.2082192301750183,
0.074551060795784,
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-0.29243946075439453,
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-0.8889224529266357,
0.1360498070716858... |
Teacher: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".
Teacher: Now, understand the problem? Solve this instance: Article: the european union on monday said it was reopening a ch... | no | 6 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.2681306004524231,
0.4910762310028076,
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0.7604018449783325,
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Definition: In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. ... | (B) | 2 | NIv2 | task268_casehold_legal_answer_generation | zs_opt | [
-0.13978680968284607,
-0.09542228281497955,
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0.092831045389... |
Definition: In this task, you are given a question. You have to answer the question based on your information.
Input: BriTANicK, is an internet sketch comedy duo from Atlanta, Georgia that consists of Brian McElhaney and Nick Kocher, in 2012, BriTANicK was included in American Joss Whedon's adaptation of which film?
Ou... | Much Ado About Nothing | 2 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
-0.1662009358406067,
0.9300240874290466,
0.016122424975037575,
-0.5421544313430786,
0.06062960624694824,
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1.0929687023162842,
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0.49894005060195923,
-1.5243496894836426,
-0.055684834718... |
TASK DEFINITION: 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.
PROBLEM: ຢູເອັນ ໄດ້ກ່າວວ່າ ເຂົາເຈົ້າໄດ້ໃຫ້ໄລຍະພິກັດ GPS ຂອງໂຮງຮຽນເຂົາເຈົ້າ ໃຫ້ແກ່ອິດສະລະເອວ ແລະ ຮຽກຮ້ອງຄວາມຮັບຜິດຊອບ ສໍາລັບການໂຈມຕີດັ່... | アジャは、前教皇ヨハネ・パウロ二世によって2000年に恩赦を受け、ジャーナリストのアブデ・イペクチの殺害のため刑に服すためトルコに送還されるまで、イタリアにおいて終身刑を言い渡されていた。
| 8 | NIv2 | task1125_alt_lo_ja_translation | fs_opt | [
-0.5253961086273193,
-0.302101731300354,
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1.009353518486023,
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0.4233556687831878... |
Part 1. Definition
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Part 2. Example
Sentence1: Rick grew up in a troubled household. Sentence2: He never foun... | And Jim learned how to manage his stress better. | 7 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt | [
-0.1136915385723114,
0.9454659223556519,
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-0.7729930877685547,
0.013318550772964954,
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0.5650396347045898,
0.6336808204650879,
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0.06478595733642578,
-0.48371580243110657,
0.017278997227549553,
-0.7790402173995972,
-0.0147330071777... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Example: Lucifer... | When did ISU vote to get rid of figures in figure skating? | 1 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.4950653910636902,
0.1408204734325409,
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0.0224116463214159,
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0.05241239815950394,
0.36343279480934143,
-0.40499353408813477,
0.09324780851602554... |
Detailed Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Q: 3, ['p', 'w', '1721', '5253', 'b', 'q', 'O', '3311', '9097', '7191', '4709', 'M', '2575', ... | 5253, b, q, O, 3311, 9097, 7191, 4709, M, 2575, a, 8393, D, S, c, k | 9 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
-0.13954304158687592,
0.5066061019897461,
-0.5874412059783936,
-0.9171368479728699,
-0.6910814046859741,
-0.214887335896492,
0.8197288513183594,
-0.4202597737312317,
-0.07473507523536682,
0.16805092990398407,
-0.6854729056358337,
0.23522520065307617,
0.5852736234664917,
-0.6406542658805847... |
Teacher:In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Teacher: Now, understand the problem? Solve this instance: The ration therefore lasts six days.
Student: | Umxhesho ngokoke uhlala intsuku ezintandathu. | 6 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | zs_opt | [
0.4368554651737213,
0.772639274597168,
1.0619409084320068,
-0.7372615933418274,
-0.7020721435546875,
-0.617776095867157,
0.2321089655160904,
0.800016462802887,
0.30932849645614624,
-0.8105533123016357,
0.279059499502182,
-0.19021913409233093,
-0.7636088132858276,
-0.09881317615509033,
0.... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
One example: English: Details were given by the UK Transport Secretary, Ruth Kelly, ... | Yes | 6 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
0.04711173474788666,
-0.3145247995853424,
0.27908778190612793,
-0.13670065999031067,
0.36847248673439026,
-0.6371551752090454,
0.3379630744457245,
0.29664120078086853,
-0.11351078748703003,
-0.22066527605056763,
-0.01690303161740303,
0.5245075225830078,
-0.1827200949192047,
0.0542569346725... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Example Input: [[34, 33, -43], [47, 23, -48, -29,... | [36167040, 301, 0]
| 3 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
-0.047200758010149,
0.11619089543819427,
-0.659700334072113,
-0.3333464562892914,
-0.2427847981452942,
-0.31790491938591003,
0.8573261499404907,
0.5128346681594849,
-0.5052850246429443,
-0.39346617460250854,
-1.072399377822876,
-0.179172083735466,
-0.6765013933181763,
-0.6214306354522705,
... |
Detailed Instructions: In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Problem:Context: Berlin is the capital and the largest city of Germany as w... | sophia charlotte of hanover | 8 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
-0.01318907830864191,
0.9288432002067566,
-0.1521664559841156,
0.034779228270053864,
0.2432316690683365,
0.06485451012849808,
0.9677006006240845,
1.120161533355713,
0.26300203800201416,
0.1738135814666748,
0.6369943618774414,
1.0443553924560547,
-1.3556617498397827,
0.28434425592422485,
... |
Teacher:In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element.
Teacher: Now, understand the problem? Solve this instance: 3, ['3971', 'p', '2941', '2557', 'Y', 'I', '1285', 'L', 'R', '2369', 'b']
Student: | 3971, 2557, 1285, 2369 | 6 | NIv2 | task1542_every_ith_element_from_starting | zs_opt | [
0.025440622121095657,
-0.18247994780540466,
-0.10981467366218567,
-0.6609014868736267,
-0.4134610891342163,
0.005731320008635521,
0.361676424741745,
-0.3959212005138397,
0.07792560756206512,
-0.8027746677398682,
-0.9005233645439148,
-0.1947411298751831,
-0.22595739364624023,
-0.45807778835... |
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second enti... | yes
| 0 | NIv2 | task472_haspart_classification | fs_opt | [
-0.6747545003890991,
0.2036346197128296,
0.8074172735214233,
-0.027112510055303574,
-0.3868864178657532,
-0.8534277677536011,
0.09380568563938141,
0.30521631240844727,
0.6999994516372681,
-0.5809313058853149,
-0.4752936363220215,
-0.6606159210205078,
-0.5744810104370117,
0.2185101211071014... |
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question ... | Solution: #1 return objects
#2 return #1 with round sides
#3 return number of #1
#4 return number of #2
#5 return if #3 is equal to #4 | 5 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.9581338763237,
-0.19302457571029663,
-0.629348874092102,
0.8286548852920532,
0.19452190399169922,
-0.30589568614959717,
1.138983130455017,
0.08944277465343475,
-0.5697869062423706,
0.3712286055088043,
-0.6141953468322754,
0.1383378803730011,
0.07078980654478073,
0.5976487398147583,
0.4... |
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Example: Amsterdam_Airport_Schiphol | runwayName | "09/27 'Buitenveldertb... | Solution: Dane Whitman, alter ego Black Knight, was created by the American, John Buscema. | 5 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-0.0815020501613617,
0.5351489782333374,
-0.10315915942192078,
-1.1785774230957031,
-0.38269245624542236,
0.13719062507152557,
0.9084466695785522,
0.15340575575828552,
0.2552383542060852,
0.5039575099945068,
-0.5438084602355957,
1.1231517791748047,
-0.6087573170661926,
-0.3313518762588501,... |
Definition: 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.
Input: ['q', '289', '135', '135', '177', 'x', '117', '251', '89', 'w']
Output: | 1, 2, 3, 5, 7, 8, 9 | 2 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | zs_opt | [
-0.4406224191188812,
0.1413598358631134,
-0.41716182231903076,
-0.9052761793136597,
-0.03489032760262489,
0.5863360166549683,
0.6870156526565552,
-0.47092828154563904,
-0.2718871235847473,
0.43748289346694946,
-0.5716604590415955,
-0.16196289658546448,
-0.3918657898902893,
-0.1256303340196... |
A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: বুন্দেলখন্ডের গ্রামীণ এলাকার জন্য প্রধানমন্ত্রী পাইপ লাইন বাহিত জল সরবরাহ প্রকল্পেরও শিলান্যাস করেন।
A: புந்தேல்கண்ட் பிராந்தியத்தின் ஊரகப் பகுதிகளுக்... | நேதாஜி சுபாஷ் சந்திர போஸினை நினைவு கூர்ந்த பிரதமர், நேதாஜியின் அழைப்பை ஏற்று பல இளைஞர்கள் தங்களின் வாழ்க்கையை நமது இந்திய நாட்டின் சுதந்திரத்திற்காக அர்ப்பணித்தனர் என்பதை சுட்டிக்காட்டினார்.
****
| 4 | NIv2 | task981_pib_translation_bengali_tamil | fs_opt | [
-0.44382244348526,
0.8772317171096802,
0.04863537475466728,
-0.12660612165927887,
-0.19151227176189423,
-0.44849950075149536,
1.223471760749817,
0.22215092182159424,
-0.4463879466056824,
-0.20713824033737183,
-0.610670268535614,
0.33477580547332764,
-0.10883255302906036,
-0.147943168878555... |
Detailed Instructions: 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 'f... | [{'first': -90, 'second': 84}, {'first': -56, 'second': 2}, {'first': -47, 'second': 13}, {'first': -45, 'second': 72}, {'first': -42, 'second': 13}, {'first': -32, 'second': 79}, {'first': -26, 'second': 49}, {'first': 39, 'second': 99}, {'first': 55, 'second': -11}, {'first': 76, 'second': 23}] | 9 | NIv2 | task123_conala_sort_dictionary | zs_opt | [
-0.018301760777831078,
-0.2736317217350006,
-0.038950078189373016,
-0.32333341240882874,
0.5063451528549194,
-0.4074706435203552,
0.35077032446861267,
1.0690257549285889,
-0.1566886305809021,
-0.1387600302696228,
-0.30150890350341797,
-0.2387603521347046,
-0.4716247320175171,
0.05907848104... |
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'... | government
| 0 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
-0.01092573069036007,
0.06112333759665489,
0.02277970500290394,
-0.510856032371521,
0.5924237966537476,
-0.5510650873184204,
-0.1991649866104126,
0.3255736231803894,
-0.29045239090919495,
-0.27638792991638184,
0.5662126541137695,
-0.008233802393078804,
-0.3116368055343628,
-0.2070925831794... |
In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s.
Example input: He ... | Appolyon | 3 | NIv2 | task331_gap_incorrect_answer_generation | fs_opt | [
-0.29082179069519043,
0.763238787651062,
0.3297652006149292,
0.12742400169372559,
-0.07481293380260468,
-0.3286372721195221,
0.7253623604774475,
0.4854258596897125,
0.4289199709892273,
-0.5276010632514954,
-0.9971473813056946,
0.7787466049194336,
-0.8297164440155029,
-0.2456066608428955,
... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
این نتیجه کامپیوتری کردن اطلاعات جغرافیایی است تشخیص حرکت, و یادگیری ماشین
A: | Questo è il risultato della geometria computazionale, della gesture recognition (riconoscimento dei gesti) e dell'apprendimento delle macchine. | 7 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-1.2453129291534424,
0.4545159935951233,
0.035406943410634995,
-0.10837508738040924,
-1.2555732727050781,
0.23331624269485474,
0.17875809967517853,
0.46862736344337463,
0.936426043510437,
-0.7539835572242737,
-0.9844836592674255,
0.19890427589416504,
0.5010721683502197,
0.644649088382721,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Input: Consider Input: Pero también, hemos empezado a debatir sobre que el rol del sector privado debería dejar de ser solo obtener ganancia e involucrarse más en contribuir a programas sociales.
Output: Mas também come... | Output: A boa notícia é que assim sendo este cenário não funciona; não está certo.
| 2 | NIv2 | task1104_ted_translation_es_pt | fs_opt | [
-0.8299151659011841,
0.8022313117980957,
-0.06521884351968765,
-0.5203309655189514,
-0.1721886247396469,
0.0252237468957901,
-0.7671511173248291,
1.7897136211395264,
0.4038495421409607,
0.48878228664398193,
-0.2644560635089874,
0.4201296269893646,
-0.4364013671875,
-0.8602391481399536,
0... |
You will be given a definition of a task first, then some input of the task.
This task is about translating a given Spanish language sentence to English.
Mi micro cuento se convirtió en algo macro cuando fui procesada.
Output: | My micro story became a macro issue when I was prosecuted. | 1 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.36340364813804626,
0.42604970932006836,
-0.08662109822034836,
0.46995246410369873,
0.05102543532848358,
-0.18686582148075104,
0.0626048594713211,
0.976858377456665,
0.3782065510749817,
-0.11760903894901276,
0.2002861499786377,
-0.09626413881778717,
-0.16951631009578705,
0.00655205361545... |
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... | Amanda auditioned for a part and sadly was not chosen. | 8 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.19888107478618622,
0.37055253982543945,
-0.441139280796051,
0.10242649912834167,
0.05767335742712021,
-0.060015857219696045,
0.4968603253364563,
0.5335263013839722,
-0.5760520100593567,
-0.29803428053855896,
-0.3538254499435425,
0.05684980750083923,
-0.767158031463623,
-0.665986716747283... |
Definition: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question c... | a plastic container of fruit salad | 2 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.5631241202354431,
0.24756324291229248,
-0.22632429003715515,
0.12306341528892517,
-0.07188208401203156,
-0.4823697805404663,
0.29086190462112427,
0.6731405258178711,
-0.17190703749656677,
0.40740329027175903,
0.2347821593284607,
-0.35422930121421814,
-0.704351007938385,
-0.02875008061528... |
You will be given a passage with an enumerated set of facts, a question of form 'Where is <person_name>?', and its answer. The task is to identify a supporting fact that is necessary to answer the question. The output would be the corresponding fact number.
Passage: Fact 1- Daniel went to the kitchen. Fact 2- Sandra w... | Fact 2
| 0 | NIv2 | task084_babi_t1_single_supporting_fact_identify_relevant_fact | fs_opt | [
0.3352240025997162,
0.47323107719421387,
-1.016929030418396,
-0.7078027129173279,
-0.8317503929138184,
-0.3630964159965515,
0.29481080174446106,
0.5499867796897888,
0.154049813747406,
0.3441408574581146,
-0.5246433615684509,
0.0907280370593071,
-0.6922983527183533,
0.08753553032875061,
-... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating ... | Output: Jimmy had been on vacation the past 2 weeks.
| 2 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
-0.2409438043832779,
0.839006245136261,
0.16208896040916443,
-0.5405304431915283,
-0.17416751384735107,
0.3259339928627014,
0.24660852551460266,
0.3514750599861145,
-0.02886342629790306,
0.050982050597667694,
-0.6696981191635132,
0.36253511905670166,
-0.24591118097305298,
-0.50534486770629... |
Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
English sentence: While in Berlin he attended Schur 's lectures and had his first mathematical success in research discovering an interesting result on matrices. | Habang sa Berlin siya pumasok sa Schur 's lektura at nagkaroon na ng kanyang unang tagumpay sa matematika pananaliksik discovering ng isang nakawiwiling resulta sa matrices. | 0 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
0.06975170224905014,
0.7029628157615662,
-0.08153867721557617,
-0.6904729604721069,
0.3717568516731262,
0.5381506681442261,
1.1605415344238281,
0.08278051018714905,
0.47934019565582275,
0.3544996380805969,
0.07100681215524673,
0.07585908472537994,
-0.7865377068519592,
0.121768519282341,
... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
The death penalty is constitutionally banned in Michigan, only 13 executions were ever conducted in the state, and only 1 since it had ... | Hi. Alberta is a province in Canada. It lies in the western part of Canada.
| 0 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.03447723388671875,
-0.3111639618873596,
0.3001464307308197,
-0.7589677572250366,
-0.17587047815322876,
-0.6332834959030151,
0.2132730484008789,
0.8666912317276001,
-0.28105366230010986,
0.20430217683315277,
-0.19943125545978546,
-1.0195056200027466,
-0.041354671120643616,
0.0199921876192... |
Detailed Instructions: Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Problem:Don't waste your money on this piece of crap headset!! I had ... | Bad review | 8 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.24103833734989166,
-0.17422141134738922,
0.10537403076887131,
0.028301160782575607,
0.23206230998039246,
-0.9542627930641174,
0.7457996010780334,
0.8576798439025879,
-0.04118170216679573,
0.4694564938545227,
-0.5133559703826904,
-0.15007613599300385,
-0.314979612827301,
-0.4456019699573... |
Detailed Instructions: In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Q: there's an i'd preeti rathore tell me if i am blocked or she have deactivated the acc it could be a certain someone's channel acc ... | angry | 9 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
0.043035298585891724,
0.08678868412971497,
0.21738743782043457,
-0.5296580791473389,
-0.05322901904582977,
-0.7608999013900757,
0.395068883895874,
-0.32654815912246704,
0.6916387677192688,
0.004110425245016813,
-0.1534973680973053,
-0.9682760238647461,
-0.6926587224006653,
0.23113188147544... |
Q: 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 comma... | I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT | 7 | NIv2 | task128_scan_structured_text_generation_command_action_short | zs_opt | [
0.12330586463212967,
0.9016097187995911,
-0.2804184556007385,
0.15348878502845764,
0.0020211723167449236,
0.030600469559431076,
-0.017282450571656227,
0.12123996764421463,
-0.053709618747234344,
-0.2644355595111847,
-0.7725872993469238,
-0.2431049942970276,
-0.8210756778717041,
-0.16114456... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Q: و چون به آن دو، [فرزندى] شایسته داد، در آنچه [خدا] به ایشان داده بود، براى او شریکانى قرار دادند، و خدا از آنچه [با او] شریک مىگردانند برتر است.
A: | But when they were given a healthy son, they started ascribing to other powers a share in what God had bestowed on them. But God is above what they ascribe to Him. | 4 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.4694976508617401,
0.9202722311019897,
-0.09240540862083435,
-0.40174585580825806,
-0.5183849334716797,
0.5759525895118713,
0.7394267320632935,
0.5681095123291016,
0.663756251335144,
-0.28822970390319824,
-1.0628845691680908,
0.7479636669158936,
-0.7060366868972778,
0.6387502551078796,
... |
You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Example input: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. Th... | True | 3 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt | [
-0.6687952280044556,
-0.6112152338027954,
0.07703260332345963,
0.14578497409820557,
-0.4348163306713104,
-0.1471419334411621,
1.0814669132232666,
-0.0899023562669754,
0.23391173779964447,
-0.1709863692522049,
-0.05168178305029869,
0.15789125859737396,
-0.6251283884048462,
-0.09613259136676... |
A text is given in Panjabi. Translate it from the Panjabi language to the Telugu language. The translation must not omit or add information to the original sentence.
One example: 118 ਏਕੜ ਰੱਖਿਆ ਭੂਮੀ ਟ੍ਰਾਂਸਫਰ ਕਰਨ ਦੀ ਮਨਜ਼ੂਰੀ ਦੇ ਦਿੱਤੀ ਜਿਸ ਨੂੰ 30 ਸਾਲ ਦੀ ਅਵਧੀ ਤੋਂ ਬਾਅਦ ਫਿਰ ਨਵਿਆਇਆ ਜਾ ਸਕਦਾ ਹੈ। ****
Solution is here: 118 ఎకరాల ర... | సహజ వాయువు కొరత వల్ల గ్యాస్ ప్లాంట్లు పూర్తి సామర్ధ్యంతో పనిచేయకపోవడంపై దృష్టి | 6 | NIv2 | task1065_pib_translation_punjabi_telugu | fs_opt | [
-0.27089768648147583,
1.0745694637298584,
-0.15043509006500244,
-0.16030696034431458,
-0.06275160610675812,
-1.8695223331451416,
0.6475098133087158,
0.4644460082054138,
0.1618308573961258,
0.22778931260108948,
-1.008440375328064,
0.07172738015651703,
-0.7533437013626099,
-0.070400454103946... |
instruction:
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".
question:
Jessica hated her new job and wanted to go back to school, because the _ was harder. (A) job (B) school
answer:
A
question:
Brett... | A
| 9 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
-0.021562516689300537,
0.16466385126113892,
-0.1348314881324768,
-0.1551658809185028,
0.2626226842403412,
-0.5644351840019226,
0.3219900131225586,
0.6364939212799072,
0.5394102334976196,
0.0675702840089798,
0.2640366554260254,
0.006799215450882912,
0.8499716520309448,
-0.40071767568588257,... |
You will be given a definition of a task first, then some input of the task.
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 alte... | Lisa declined and they never went on a date. | 1 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.46208852529525757,
0.4210691452026367,
0.033377766609191895,
-0.10954871773719788,
-0.2141021192073822,
-0.058461472392082214,
0.23196429014205933,
0.34254932403564453,
-0.13933628797531128,
-0.46555203199386597,
-0.5553026795387268,
0.5729273557662964,
-0.11470159888267517,
-0.269735991... |
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... | 5535o | 0 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.593367338180542,
0.5410037040710449,
-0.5283371210098267,
-0.36710023880004883,
0.1518818438053131,
0.06054774671792984,
0.10940276831388474,
-0.003089067991822958,
-0.02440875768661499,
0.05465606227517128,
-1.225174903869629,
-0.12034060060977936,
0.20860172808170319,
-0.5775212645530... |
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 sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explici... | Yes
| 6 | NIv2 | task608_sbic_sexual_offense_binary_classification | fs_opt | [
-0.9465709328651428,
-0.027959804981946945,
0.4439544677734375,
0.04515460133552551,
-0.1633186638355255,
-0.15531238913536072,
0.35871797800064087,
1.0686348676681519,
0.3667396605014801,
0.4943698048591614,
0.17217950522899628,
0.05901389941573143,
-0.696387767791748,
-0.8026094436645508... |
Instructions: In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Input: Deepwater Port Modernization Act - Amends the Deepwater Port Act of 1974 to revise th... | Deepwater Port Modernization Act | 3 | NIv2 | task1659_title_generation | zs_opt | [
-0.0773615688085556,
-0.44808101654052734,
-0.3572377860546112,
0.06966689229011536,
0.22822409868240356,
-0.3687959909439087,
0.579472005367279,
0.4796157479286194,
-0.44425469636917114,
0.6587785482406616,
0.05024975165724754,
-0.05439738556742668,
0.16596007347106934,
-0.382256299257278... |
Teacher: In this task, you need to count the number of nouns/verbs in the given sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: 'A small toy kept on tray held by a man'. Count the number of nouns in this sentence.
Solution: 3
Reason: The words 'toy', 'tray... | 3 | 2 | NIv2 | task155_count_nouns_verbs | fs_opt | [
0.10426954925060272,
0.14689500629901886,
0.06249050050973892,
-0.49897301197052,
0.05321521684527397,
-0.503390908241272,
-0.036119796335697174,
0.6256482601165771,
-0.5150489211082458,
0.1816476583480835,
-0.3786933422088623,
-0.49209773540496826,
-0.6394468545913696,
0.2597145438194275,... |
Given a sentence in Russian, generate a new Russian 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... | Вы можете использовать рог, чтобы предупредить других водителей об инциденте.
| 0 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
0.12067997455596924,
0.29973849654197693,
-0.16852834820747375,
-0.4054471254348755,
-0.4896923899650574,
-0.3646029829978943,
0.43429213762283325,
1.3954488039016724,
0.1882075071334839,
-0.6603335738182068,
-0.6707377433776855,
0.09105544537305832,
-0.5089749097824097,
-0.167798787355422... |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
[53, -86] | [-86] | 0 | NIv2 | task369_synthetic_remove_odds | zs_opt | [
-0.8352425694465637,
0.9826804399490356,
0.12190476059913635,
-0.8016213178634644,
0.06576620042324066,
-0.2551299035549164,
1.0961257219314575,
0.4175493121147156,
0.5084033608436584,
0.25321292877197266,
-0.7522430419921875,
-0.1922023892402649,
-0.09276358783245087,
-0.47363558411598206... |
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the inde... | (7, 8) | 9 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.22011268138885498,
0.4315236210823059,
0.016284920275211334,
-0.722620964050293,
-0.10179267078638077,
0.08403924107551575,
0.412109911441803,
0.2713684141635895,
0.09878230094909668,
-0.06097189337015152,
-0.1791517436504364,
-0.19341205060482025,
-0.40511661767959595,
0.04235097020864... |
Part 1. Definition
Given a sentence in the English language, translate it into the Nepali language.
Part 2. Example
Text: If the research problem is not clear then review of literature can help focus on the problem.
Answer: अथवा शोध समस्याबारे स्पष्ट हुन सकिरहेको छैन भने साहित्यको अवलोकन र पुनरावलोकनले ध्यान केन्द्रि... | बिरालाेहरूले मानिसकाे कानका लागि धेरै मसिनाे अथवा धेरै चर्काे हुने फ्रिक्वेन्सीका अावाजहरू सुन्न सक्छन्, जस्तै मुसा तथा अन्य साना जनावरकाे अावाज ।
| 7 | NIv2 | task1514_flores_translation_entone | fs_opt | [
-0.6026095151901245,
0.4463236927986145,
0.2530279755592346,
0.2972431778907776,
0.27830591797828674,
-0.8507629036903381,
1.0071463584899902,
-0.04929744452238083,
-0.3539990782737732,
0.5247515439987183,
-0.2145662009716034,
-0.007364753633737564,
-1.2267088890075684,
0.06981144845485687... |
Part 1. Definition
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Part 2. Example
ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پرتاب باشند در عرض چند ساعت.
Answer: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i... | Wiedząc o tym, że pacjent niewykryty przez mikroskopię zaraża do 15 osób — zdrowych ludzi — na rok, możecie być pewni że uratowaliśmy mnóstwo istnień. | 7 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.3285866975784302,
0.8258049488067627,
0.30284643173217773,
-0.3116950988769531,
-0.4207321107387543,
0.11375701427459717,
1.3971223831176758,
-0.08882085978984833,
-0.06816387921571732,
-0.5712951421737671,
-1.050417423248291,
0.983535885810852,
-0.8454934358596802,
0.3400663137435913,
... |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
--------
Question: Me refiero a la actitud que el Gobierno austríaco adoptará en el Consejo en relación con las... | Please, Mr Prodi, stand by your word and implement your promises.
| 7 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
0.25445297360420227,
0.3706260025501251,
-0.13527250289916992,
-0.12289856374263763,
0.12045662850141525,
-0.5776698589324951,
1.0147591829299927,
0.806287407875061,
-0.07707656919956207,
0.34775930643081665,
-0.3790411055088043,
0.5127373337745667,
-0.8140859603881836,
0.17907260358333588... |
Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'.
--------
Question: Repeats sees 2008 operating profit down y-y ( Reporting by Helsinki Newsroom ) Keywords : TECNOMEN-RESULTS
Answer: negative
Question: The company e... | neutral
| 7 | NIv2 | task843_financial_phrasebank_classification | fs_opt | [
-1.1618196964263916,
0.10997358709573746,
0.0662565603852272,
0.07049240171909332,
-0.30466166138648987,
-0.10474593937397003,
-0.14290091395378113,
1.398146390914917,
0.06323328614234924,
0.34613361954689026,
-0.7438192367553711,
0.816146731376648,
0.22680476307868958,
-0.2815788984298706... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of... | DISSIMILAR | 0 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
-0.23035141825675964,
0.39022573828697205,
0.46647465229034424,
-0.531932532787323,
-0.1857859492301941,
0.24153944849967957,
1.293142318725586,
0.564112663269043,
0.5551331043243408,
0.09431648999452591,
-0.8603140711784363,
-0.35257023572921753,
-0.6409834623336792,
0.21830785274505615,
... |
You are given a dialog between 2 or more individuals. Within the dialog, there will be clues as to the names of the speakers. You will be asked at the end of the dialog to identify the name of one of the speakers.
[EX Q]: Speaker 1: Hey Rach, I just heard. I'm so sorry.
Speaker 2: Oh, thank you...
Speaker 1: You sti... | Geller
| 6 | NIv2 | task906_dialogre_identify_names | fs_opt | [
0.33232128620147705,
0.36548757553100586,
-0.4641435742378235,
0.5497786998748779,
0.04681514576077461,
-0.2383754551410675,
0.7552905082702637,
0.921192467212677,
-0.11755144596099854,
0.06678881496191025,
0.1279616802930832,
0.5536364912986755,
-0.21054798364639282,
0.21140804886817932,
... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Tenemos que llamar a esto por su nombre: un gran fracaso de la religión.
A: | We need to call this what it is: a great failure of religion. | 7 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.3047527074813843,
1.058915615081787,
0.3223838806152344,
-1.051196575164795,
-0.5833154916763306,
-0.8465534448623657,
0.33568692207336426,
0.9139655232429504,
-0.33133864402770996,
-0.3550044298171997,
-0.05553027614951134,
0.28967219591140747,
-0.3176726698875427,
-0.00961147248744964... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Let me give you an example: Agora, está ao lado, ou na miña casa.
The answer to this example can be: Now, it's next door, or in my house.
Here is why: The Galician sentence is correctly translated into English. `casa` is... | It starts with metal recyclers who shred our stuff into very small bits. | 8 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-0.29098522663116455,
1.1473705768585205,
-0.3920791745185852,
-0.23031014204025269,
-0.06514536589384079,
-1.198336124420166,
0.610709547996521,
0.8030993342399597,
-0.37141773104667664,
0.1999252438545227,
-0.3948337435722351,
0.6885501742362976,
-0.8636476397514343,
0.051133543252944946... |
Instructions: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Input: Tweet: @anonymized_account Daj panie Boże zdrowie, żeby tyle dożyć! , Question: Is the tweet free of any cyberbullying (harmful) content?
Output: | Yes | 3 | NIv2 | task839_cdt_classification | zs_opt | [
-1.150923252105713,
1.1590449810028076,
0.15067361295223236,
0.5423256158828735,
-0.5748153924942017,
-0.6994262337684631,
1.3938024044036865,
-0.44923925399780273,
0.1659204661846161,
0.1186143159866333,
-0.061521016061306,
0.7433428764343262,
-0.6801618337631226,
-0.18151386082172394,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a math word problem and you are supposed to apply a single mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer th... | 9 | 0 | NIv2 | task868_mawps_singleop_question_answering | fs_opt | [
0.0718473270535469,
0.8563142418861389,
-0.2937476336956024,
-0.46980223059654236,
-0.38757291436195374,
0.4529445171356201,
1.1360899209976196,
0.5769549012184143,
0.23098847270011902,
-0.35923582315444946,
-0.538905143737793,
-0.2329411506652832,
-0.09854532033205032,
0.23033127188682556... |
You are given a statement written in Malayalam. 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 .
[EX Q]: Statement: 1500 കളുടെ തുടക്കത്തിൽ, ഇന്നത്തെ <MASK> സിൻജിയാങ് പ്രവിശ്യയിൽ സ്ഥിതി ചെയ്യുന്ന തിമുരിഡ് യാർക... | കേരളത്തിലെ
| 6 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.0271182619035244,
0.7024553418159485,
-0.4688490033149719,
-0.05537652224302292,
0.25435739755630493,
-0.5780901312828064,
-0.02051061950623989,
0.8158732652664185,
-0.18053945899009705,
0.16884920001029968,
0.1909255087375641,
0.37776821851730347,
-0.4825479984283447,
-0.072769723832607... |
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.
Q: Passage: The... | talks | 4 | NIv2 | task390_torque_text_span_selection | zs_opt | [
0.5916475057601929,
0.27952539920806885,
0.05971632897853851,
0.383192241191864,
-0.6887927055358887,
0.8468884229660034,
0.7791285514831543,
0.38461631536483765,
-0.37828874588012695,
0.8558485507965088,
-0.4225222170352936,
0.020983867347240448,
-0.5481512546539307,
0.3231402039527893,
... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
One example: English sentence: Lionel Messi is the greatest football player of all time
Solution is here: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
Explanation: The output... | 5. Eng: C/raxmaan Maxamed Aar (Agaasimaha Waaxda Naqshadayenta Magaalooyinka) | 6 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
-0.11680134385824203,
0.4791053831577301,
-0.11225838959217072,
-0.49969425797462463,
0.3415965437889099,
-0.9101716876029968,
-0.6063541173934937,
0.3084489405155182,
0.5907633900642395,
-0.4026893973350525,
0.17989581823349,
1.1346535682678223,
-0.7783650159835815,
-0.09470349550247192,
... |
Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
[EX Q]: Japanese: 当局はすべての会社員に屋内に残るよう警告し、そして、調査がフリンダーズ・レーンとウィリアム通りが交差する所で行われたの... | No
| 6 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.39129430055618286,
-0.13043759763240814,
-0.093012735247612,
-0.2819453775882721,
0.32259684801101685,
-0.22724458575248718,
0.12068478763103485,
-0.21123096346855164,
0.25826379656791687,
-0.27327537536621094,
-0.7121621370315552,
0.5693279504776001,
-0.7316110134124756,
0.063847586512... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: English: A study found Scotland's suicide rate to be increasing away from neighbo... | Yes | 4 | NIv2 | task437_alt_en_ja_answer_generation | zs_opt | [
-0.2209111452102661,
-0.3275521397590637,
0.14025990664958954,
-0.7369216680526733,
0.3424164056777954,
-0.5555016994476318,
0.2745763659477234,
0.6335437297821045,
-0.208977609872818,
-0.07444114983081818,
0.027334310114383698,
0.6224744319915771,
-0.8378658294677734,
-0.28832316398620605... |
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
One example is below.
Q: Sentence 1: Th... | neutral | 9 | NIv2 | task1554_scitail_classification | fs_opt | [
0.06517420709133148,
0.5770488977432251,
-0.34441569447517395,
-0.16380387544631958,
-0.31553587317466736,
-1.028615951538086,
0.00811463501304388,
0.7310975790023804,
0.028511978685855865,
-0.2664288282394409,
-1.0504016876220703,
-0.7656867504119873,
-0.37796133756637573,
0.0128537565469... |
Given the task definition and input, reply with output. 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 answerable from the passage, (iii) its answer is unique (iv) it a... | Does psychosocial and lifestyle correlate of premenstrual symptoms among military women? | 5 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.33687227964401245,
0.3296746611595154,
-1.083235263824463,
-0.09192823618650436,
0.009895711205899715,
0.1375332474708557,
0.4514714479446411,
1.002087116241455,
0.7834116816520691,
0.08139263093471527,
-1.0712350606918335,
0.2563653886318207,
-0.3506182134151459,
0.17575407028198242,
... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Italian.
Q: You could have made it in the 1920s; you wouldn't have had penicillin.
A: | Potevate sostenerlo nel 1920; non avreste scoperto la penicillina. | 9 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.4191771149635315,
1.3665821552276611,
-0.17298144102096558,
0.23556306958198547,
0.04179851710796356,
-1.4551547765731812,
-0.12465402483940125,
1.0229640007019043,
0.09695407748222351,
-0.26858222484588623,
-0.23557715117931366,
0.9529210329055786,
-0.5536924004554749,
-0.4716795086860... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist ... | Washington
| 3 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
0.38763415813446045,
0.8056147694587708,
0.07633044570684433,
-0.1328602135181427,
0.5919321775436401,
0.3011087477207184,
0.6168500781059265,
1.1667554378509521,
-0.10334302484989166,
0.6207036972045898,
-0.30997151136398315,
0.23643702268600464,
-0.534339189529419,
0.055800534784793854,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
Q: וזה לא מבוסס על דת או פילוסופיה, אלא מגיע מתחום חקר המוח, בכל תחומי המחקר, ממדעי המוח ועד למדעי הקוגניציה, כלכלנים התנהגותיים, פסיכולוגים, סוציולוגים, אנו מחוללים מהפכה במודעות.
A: I nie jest to ugruntowane na teologii cz... | Nie mamy absolutnie pojęcia, jak by to zadziałało.
****
| 4 | NIv2 | task1112_ted_translation_he_pl | fs_opt | [
-0.7999041080474854,
0.5147813558578491,
0.5201224684715271,
-0.6192600727081299,
-0.8221266269683838,
-0.4501572549343109,
0.5159674286842346,
0.17329397797584534,
1.0108363628387451,
-1.1470441818237305,
-0.6351945400238037,
0.24214676022529602,
-0.7914298176765442,
0.10360132157802582,
... |
Detailed Instructions: In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Problem:Sentence1: Rick was at the bar when he saw a driver license on the ground. Se... | Rick gave the license to the driver and made the driver happy. | 8 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.9257765412330627,
1.0824300050735474,
0.44806957244873047,
-0.8077114820480347,
-0.9370886087417603,
-0.21142593026161194,
0.6868549585342407,
0.10089312493801117,
0.8611760139465332,
0.2511342167854309,
-0.7001538276672363,
-0.11545054614543915,
-0.20604296028614044,
0.4289289116859436... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
| 5 | NIv2 | task1213_atomic_classification_desires | fs_opt | [
-0.06841602921485901,
0.37237250804901123,
0.34299612045288086,
-0.4515068829059601,
-0.7065492272377014,
-0.6572825908660889,
1.100563406944275,
0.2968260645866394,
-0.5368407964706421,
-0.4867560863494873,
-0.41637560725212097,
-0.17932835221290588,
-0.33707255125045776,
0.33671307563781... |
Definition: In this task, you're given an input that contains two words, and your task is to predict the correct preposition that connects these two words. Predict the preposition that explicitly conveys both words' meaning, e.g., Word1: king
Word2: fort: "king of fort". Possible prepositions are: "of", "on", "in", "... | of | 2 | NIv2 | task585_preposition_classification | zs_opt | [
0.29340699315071106,
0.958841860294342,
0.11342416703701019,
-0.314225971698761,
-0.29007625579833984,
-0.30029305815696716,
0.49595949053764343,
0.011853253468871117,
0.18658342957496643,
-0.9925532341003418,
-1.2329806089401245,
0.18906497955322266,
-0.9312058687210083,
0.099540799856185... |
A text is given in Malayalam. Translate it from the Malayalam language to the Tamil language. The translation must not omit or add information to the original sentence.
--------
Question: ഏതെങ്കിലും ഉല്പന്നങ്ങള്ക്കായി സംസ്ഥാനത്തിനു പുറത്തേക്കുപോകേണ്ട സാഹചര്യം ആര്ക്കെങ്കിലും ഉണ്ടാവുമെന്നു ഞാന് കരുതുന്നില്ല.
Answer:... | இருநாடுகளுக்கும் இடையே வர்த்தகம் ஆகும் பொருட்கள் சார்ந்த விரைந்த அனுமதியை உறுதி செய்து வர்த்தகத்தை மேம்படுத்த இந்த உடன்பாடு உதவும் என எதிர்பார்க்கப்படுகிறது.
| 7 | NIv2 | task999_pib_translation_malayalam_tamil | fs_opt | [
0.43138277530670166,
0.4751114249229431,
0.20779211819171906,
-0.0173971988260746,
0.01782003790140152,
-0.433310866355896,
-0.12715795636177063,
0.1081683561205864,
-0.49027174711227417,
-0.18202069401741028,
-0.7086755037307739,
0.2793462872505188,
-1.068218469619751,
0.19220837950706482... |
In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of ... | Race | 3 | NIv2 | task280_stereoset_classification_stereotype_type | fs_opt | [
0.020876407623291016,
0.43089282512664795,
0.07073532044887543,
-0.31343957781791687,
0.1704414337873459,
-0.13532206416130066,
0.6815833449363708,
0.48299306631088257,
0.4061053991317749,
-0.1129530668258667,
-0.7606514096260071,
0.3757966160774231,
-0.8398164510726929,
-0.143484652042388... |
You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
Ex... | Yes.
| 1 | NIv2 | task050_multirc_answerability | fs_opt | [
0.013345174491405487,
-0.14036554098129272,
-0.10189592838287354,
0.9258908629417419,
0.247972309589386,
-1.6371029615402222,
0.5631605386734009,
0.6357250213623047,
-0.29640957713127136,
-0.07763911038637161,
-0.4950810670852661,
0.6390587091445923,
-0.6447399854660034,
0.2241071611642837... |
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 | [
-0.4073846638202667,
0.17874333262443542,
0.38279300928115845,
-0.2741353213787079,
0.3458397090435028,
0.037803471088409424,
0.41685768961906433,
0.7313492298126221,
0.3504834771156311,
0.4066641926765442,
-0.1376882940530777,
-0.06363344937562943,
-0.34709876775741577,
-0.433103322982788... |
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.
Q: name[xname], recommend[yes], cuisine[New American], decor[bad], qual[bad], location[Midtown], service[bad]
A: Because xname offers rude staff ... | xname is a non family friendly coffee shop who serves Chinese food and is less than £20. It is near the xnear in the city centre.
****
| 4 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.09858908504247665,
-0.16601324081420898,
-0.6973429918289185,
0.07061165571212769,
0.05975670367479324,
0.20674532651901245,
0.3611952066421509,
0.9178440570831299,
0.026835599914193153,
-0.10196345299482346,
1.0120795965194702,
-0.4836518168449402,
-0.13202553987503052,
-0.413677453994... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Example input: Sentence: 'the street light is green in the city'. How many words end with the letter 't' in the sentence.
Example output: 2
Example explanation: The words 'street', and '... | 2 | 3 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.34101200103759766,
0.7279778718948364,
-0.2662140727043152,
-0.7413204908370972,
-0.2156607210636139,
-0.3506062924861908,
0.27979403734207153,
0.4955437183380127,
0.4667929410934448,
-0.8703796863555908,
-0.25197547674179077,
0.5848565101623535,
-0.6974677443504333,
-0.0138872116804122... |
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "agai... | Output: none
| 2 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
0.8541378974914551,
0.7385041117668152,
-0.5723767280578613,
-0.2640153169631958,
-0.07241582870483398,
-0.7454979419708252,
0.288485586643219,
0.5335301756858826,
-0.1244591772556305,
0.31083035469055176,
-0.16872867941856384,
-0.1560365855693817,
-0.6619798541069031,
0.04973229765892029,... |
Teacher: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 words.
Teacher:... | Car | 6 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
0.015689320862293243,
0.5780274868011475,
0.34571534395217896,
-0.5399200916290283,
-0.4601254165172577,
-0.6055163145065308,
0.9122918844223022,
0.7365685701370239,
-0.08147671818733215,
-0.5415182113647461,
-0.12230798602104187,
-0.8541545867919922,
-0.8826935291290283,
0.296361207962036... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Input: Consider Input: それは我々の社会の
Output: E penso che questo è uno dei problemi principali della nostra società:
Input: Consider Input: 北極を泳ぐなんて普通であればしないことです
Output: Beh, nuotare al Polo Nord non è una cosa normale da... | Output: E se volete essere ancora più specifici, si può arrivare a specifici CAP.
| 2 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
-0.623182475566864,
0.24415652453899384,
-0.23784123361110687,
0.022062998265028,
-0.15500307083129883,
-0.8274447917938232,
-0.01446448639035225,
0.3370601534843445,
0.23643238842487335,
-0.7234639525413513,
-0.95078444480896,
0.7423822283744812,
-0.2814672589302063,
-0.07811225950717926,... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Q: Cut each chicken breast horizontally, stopping 1/2 inch from edge. Open each breast and pound to 1/4 inch thickness or so the chicken... | ground meat, cream of mushroom soup, milk, green chilies, Doritos, onion, cream of chicken soup, enchilada sauce, Cheddar cheese
****
| 4 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.8540394902229309,
-0.20623411238193512,
-0.7149142622947693,
0.5762158632278442,
0.015848206356167793,
0.11077220737934113,
1.673990249633789,
0.9180771112442017,
-0.31746208667755127,
-0.22634229063987732,
0.11535517871379852,
-0.09365809708833694,
-0.5049325823783875,
0.108661442995071... |
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. Wh... | What 's a possible reason they drained all the oil out ?
| 1 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.3013811707496643,
0.5335866212844849,
0.07864166796207428,
0.20645149052143097,
-0.3914013206958771,
-0.5585449934005737,
0.3413100838661194,
1.2262932062149048,
0.6128580570220947,
0.32782939076423645,
-0.9222303628921509,
0.17504169046878815,
-0.30794084072113037,
0.31149694323539734,
... |
Definition: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to p... | Drought or rain also affect the harvest and the planning. | 2 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
-0.008153010159730911,
0.6076830625534058,
-0.49805688858032227,
-0.2185724377632141,
-0.5242014527320862,
-0.9350502490997314,
-0.02432931773364544,
0.7402341365814209,
-0.37347742915153503,
-0.05702677369117737,
-1.420212984085083,
0.5212463140487671,
-0.29175859689712524,
0.032645046710... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Problem:Les daba crédito porque confiaba en ellos.
Solution: | او به آنها اعتبار می داد چون به انها اعتماد داشت. | 8 | NIv2 | task1103_ted_translation_es_fa | zs_opt | [
-0.5059416890144348,
0.6948297023773193,
-0.316569983959198,
-0.48266440629959106,
-0.8895043134689331,
-0.04706357792019844,
2.0453994274139404,
0.23530128598213196,
0.2368651032447815,
-0.6097029447555542,
-0.7565996646881104,
0.5450447797775269,
-0.6552512645721436,
0.11751306056976318,... |
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
And thou shalt remember all the way which the LORD thy God led thee these forty years in the wilderness, to humble thee, and to prove thee, to know what was in thine heart, whether thou wouldest keep his co... | زمینی که پر از گندم و جو و مو و انجیرو انار باشد، زمینی که پر از زیتون زیت و عسل است. | 0 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
-1.030730962753296,
0.7857184410095215,
-0.5123855471611023,
-0.20250125229358673,
-0.7950454950332642,
-0.7514155507087708,
1.2875268459320068,
0.08135869354009628,
0.616714358329773,
-0.31219416856765747,
-0.11962054669857025,
0.9172109365463257,
-0.7533738613128662,
0.07280680537223816,... |
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