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 are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
Example input: concept: Cleveland Ohio answers: ['North American Eastern Time Zone']
Example output: what time zone am i in cleveland ohio?
Example explanation: The output is correct base... | who voices anakin in the clone wars? | 3 | NIv2 | task1602_webquestion_question_genreation | fs_opt | [
-0.38771921396255493,
0.28001776337623596,
-0.7507251501083374,
0.1364210993051529,
-0.613281786441803,
-1.3596446514129639,
0.354621946811676,
0.8237019777297974,
0.28741344809532166,
-0.1281394064426422,
0.2590480446815491,
-0.5551677346229553,
-0.7057451009750366,
-0.630772590637207,
... |
Teacher: In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "woma... | Based on the girl's statements, how would you describe her English teacher? (A) irritable (B) fascinating (C) considerate | 2 | NIv2 | task246_dream_question_generation | fs_opt | [
0.2762832045555115,
-0.011163279414176941,
-0.1845492720603943,
-0.44020283222198486,
0.5189129114151001,
-0.0770152285695076,
0.8713177442550659,
0.7791822552680969,
-0.30676156282424927,
0.006848919205367565,
-0.19751393795013428,
0.1753292977809906,
0.1613367199897766,
-0.06154455244541... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Example Input: I prefer enchiladas.
Example Output: Do you like burritos
Example Input: I listen to Toni Braxton.
Example Output: Are you into R&B?
Example Input: That is not my favorite genre.
Example Output: | Would you go to a punk rock show?
| 3 | NIv2 | task568_circa_question_generation | fs_opt | [
0.5598689913749695,
0.585952877998352,
0.16290584206581116,
0.9575352668762207,
-0.4000723361968994,
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0.46540579199790955,
0.2897060513496399,
0.1368902325630188,
-0.4693799614906311,
0.017885815352201462,
-0.008933087810873985,
-0.5621547698974609,
-0.25996458530426025... |
Given the task definition and input, reply with output. In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
First of all I love the flavor. Couldn't be happier, it is as described - bold, deliciou... | False | 5 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
-0.273185670375824,
0.4838118553161621,
0.05295910686254501,
-0.08904032409191132,
-0.47270089387893677,
-0.28743427991867065,
0.6010460257530212,
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-0.1364307552576065,
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-0.6390483975410461,
0.1372186541557312,... |
Definition: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Input: John forwarded the woman an email
Output: | John forwarded an email to the woman | 2 | NIv2 | task132_dais_text_modification | zs_opt | [
-0.07827390730381012,
0.7606096267700195,
0.5973480939865112,
-0.37124502658843994,
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-0.06445393711328506,
-0.537706732749939,
-0.2852594256401062,
0.35160380601882935,
-0.7393277883529663,
0.176721140742301... |
In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information related... | 2
****
| 4 | NIv2 | task1541_agnews_classification | fs_opt | [
-1.2658425569534302,
0.2711395025253296,
-0.8321187496185303,
1.2197133302688599,
0.11482411623001099,
-0.6621138453483582,
-0.3675498068332672,
1.0929639339447021,
-0.48891931772232056,
0.7085675597190857,
-0.7215458750724792,
0.4872189462184906,
-0.4769631326198578,
-0.3026103675365448,
... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Relationship: 'be baptize in', Argument/Subject 1: 'john', Argument/Subject 2: 'jordan' | When John was baptizing in the Jordan River , we understand the medium to be water . | 0 | NIv2 | task677_ollie_sentence_answer_generation | zs_opt | [
-0.06647205352783203,
0.7688445448875427,
-0.5652092695236206,
-0.17178016901016235,
-0.5330744385719299,
-1.1122310161590576,
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0.8551915884017944,
-0.11143593490123749,
0.31963425874710083,
-0.5087993144989014,
-0.4819151759147644,
-0.040197744965553... |
You will be given a definition of a task first, then some input of the task.
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. Ple... | drum | 1 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
-0.07158713042736053,
0.9462793469429016,
-0.051332712173461914,
-0.10695087909698486,
0.4597274661064148,
-0.3583107888698578,
0.7283833622932434,
0.7422370910644531,
0.060270488262176514,
0.33164674043655396,
0.12091739475727081,
-0.08140420913696289,
-0.09659656882286072,
-0.56892949342... |
Given the task definition and input, reply with output. In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Def... | eq { count { filter_eq { all_rows ; written by ; julian jones } } ; 6 } | 5 | NIv2 | task210_logic2text_structured_text_generation | zs_opt | [
0.244587242603302,
0.17680534720420837,
-0.38557079434394836,
0.5582139492034912,
0.15562354028224945,
-0.4026443362236023,
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-0.3218141794204712,
0.06590200960636139,
-0.1825132966041565,
0.34318020939826965,... |
Detailed Instructions: 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-lev... | finding | 9 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.3153578042984009,
0.48420780897140503,
-0.1368316262960434,
-0.01385318860411644,
-0.05616309493780136,
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-0.3043198883533478,
0.25472384691238403,
0.35592833161354065,
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-1.4723834991455078,
0.18101923167705536,
0.09482942521572113,
-0.018777681514... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Example: Pero comenzamos con la idea de un niño por vez.
Output: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
The Spanish sentence is correctly ... | בתאוריה, אנחנו חושבים, בני אדם הגיוניים. | 1 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.7849993109703064,
0.5884729623794556,
0.1937844604253769,
-0.20190107822418213,
-0.34995943307876587,
0.16599003970623016,
0.7489045262336731,
0.49198684096336365,
0.5677740573883057,
-0.5120552778244019,
-0.15022066235542297,
0.3357473313808441,
-0.41625434160232544,
-0.131329119205474... |
A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
[EX Q]: سمندری اور ساحلی وسائل کا تحفظ ۔
[EX A]: દરિયાઈ અને સાગરકાંઠાના સ્રોતોની જાળવણી
[EX Q]: وزیراعظم چندر یان- 2 کے اترنے کا آخری منظر دیکھیں گے
[EX... | શ્રીલંકાનાં રાષ્ટ્રપતિએ જણાવ્યું હતું કે, શ્રીલંકાનાં રાષ્ટ્રપતિ અને ભૂતપૂર્વ ગૃહ સચિવની હત્યાનાં કથિત ષડયંત્રમાં કોઈ પણ રીતે ભારતની સાંઠગાંઠ હોવાનાં મીડિયામાં પ્રકાશિત થયેલા અહેવાલોને તેમણે સ્પષ્ટપણે નકારી કાઢ્યાં છે.
| 6 | NIv2 | task1002_pib_translation_urdu_gujarati | fs_opt | [
-1.1724885702133179,
0.44143030047416687,
-0.30593591928482056,
-0.5607739686965942,
-0.4282130002975464,
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0.6107815504074097,
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0.23219682276248932,
0.15268880128860474,
-0.6935141682624817,
0.41163772344589... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
Problem:इथल्या हार्ट लंग क्रिटिकल केअर तर्फे दर महिन्यात असे शिबीर घेतले जाते. ह्या शिबिरांत अनेक प्रकारच्या रोगांवर मोफत इलाज क... | અહીંના Heart Lungs Critical Centralની તરફથી દર મહિને આવા મેડિકલ કેમ્પ લગાવવામાં આવે છે. જયાં અનેક પ્રકારની બિમારીઓની મફત તપાસ અને ઇલાજની વ્યવસ્થા થાય છે. | 8 | NIv2 | task984_pib_translation_marathi_gujarati | zs_opt | [
0.13108572363853455,
-0.22323475778102875,
-0.45172977447509766,
-0.32577550411224365,
0.09994140267372131,
-1.667042851448059,
0.6945734024047852,
-0.23122628033161163,
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-0.6561094522476196,
-0.6725396513938904,
-0.5279524326324463,
-0.8824672102928162,
0.593723595142... |
Detailed Instructions: In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is... | Yes | 8 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.8226744532585144,
-0.10186819732189178,
0.5510654449462891,
0.2936602830886841,
-0.21055611968040466,
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0.11540558189153671,
0.24142464995384216,
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0.2932794690132141,
0.11150367558002472,
-0.389320433139801,
0.5378990769386292,
... |
Instructions: Given a sentence in Vietnamese, generate a new Vietnamese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable... | Anh có thể có nghĩa là một con sư tử để đáng sợ hay kẻ xâm lược. | 3 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
-0.27435195446014404,
0.4398179054260254,
-0.0591067373752594,
0.12371134012937546,
-0.2541987895965576,
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0.18397223949432373,
1.3289451599121094,
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0.20049001276493073,
-0.31901606917381287,
0.1349230408668518,
-0.4186675548553467,
-0.32588577270507... |
Teacher:In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Teacher: Now, understand the problem? Solve this instance: I have banked at Nevada Federal, now One Nev... | NEGATIVE | 6 | NIv2 | task475_yelp_polarity_classification | zs_opt | [
-0.9651098251342773,
0.2568126320838928,
0.14361976087093353,
-0.297211229801178,
0.19495528936386108,
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0.8533456325531006,
1.1104300022125244,
0.5943863391876221,
0.27505090832710266,
0.5377199649810791,
0.012348626740276814,
-0.5114108920097351,
-0.2535506784915924,
... |
Detailed Instructions: Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Problem:I see there's a new version of this carder with a faster read speed, but for the $15 or so I paid this was a no-brainer as an upgrade for my Galaxy S4.
Solution: | Name-brand, dirt-cheap MicroSD storage | 8 | NIv2 | task1342_amazon_us_reviews_title | zs_opt | [
-0.09356071054935455,
0.2479238510131836,
-0.5165119171142578,
-0.39317193627357483,
0.4873625338077545,
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0.2958749830722809,
0.3800030052661896,
0.7833549976348877,
0.32502126693725586,
0.21277135610580444,
0.09893534332513809,
-0.3904031217098236,
-0.1503720283508300... |
Definition: This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a... | [['Darnell Hillman', 'POSITION', 'Forward-Center'], ['Darnell Hillman', 'COLLEGE', 'San Jose State']] | 2 | NIv2 | task1410_dart_relationship_extraction | zs_opt | [
-0.16750091314315796,
0.2343689501285553,
-0.27859795093536377,
-0.47403597831726074,
-0.5263165235519409,
0.29519006609916687,
1.0536210536956787,
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0.4356871545314789,
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-0.8735222816467285,
-0.21474520862102509,
-0.4998694956302643,
0.371422648429870... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
Example: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Example solution: a, 34, f
Example ex... | Solution: C | 5 | NIv2 | task063_first_i_elements | fs_opt | [
0.2528232932090759,
0.3545064926147461,
-0.37299859523773193,
-0.5743941068649292,
-0.14494968950748444,
0.04045744985342026,
0.7765294909477234,
0.3078066110610962,
0.08683252334594727,
-0.3377692401409149,
-1.2513197660446167,
-0.323036253452301,
-0.05288373678922653,
-0.7153531312942505... |
Instructions: This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sampl... | How many percent of people aged 0-14 were not born in Macau? | 3 | NIv2 | task026_drop_question_generation | zs_opt | [
0.7732341289520264,
0.4336826205253601,
-0.729332685470581,
-0.19673623144626617,
-0.008780421689152718,
0.21068090200424194,
0.07471340894699097,
0.5477247834205627,
0.22864922881126404,
0.5193239450454712,
-0.982600212097168,
0.33449822664260864,
-1.2639846801757812,
0.2554364800453186,
... |
Detailed Instructions: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Q: passage: The Pacific miniseries features the 1st Marine Division's battles in the Pacific, such as Guadalcanal, Cape Gloucester, Peleliu, ... | Yes | 9 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
-0.6348384618759155,
-0.26463449001312256,
-0.5082745552062988,
-0.6145970821380615,
-0.09309852868318558,
-0.906798243522644,
1.1901051998138428,
-0.5437946319580078,
0.46714675426483154,
0.022676844149827957,
0.28843259811401367,
0.23229345679283142,
-0.9755758047103882,
0.16972446441650... |
Teacher: In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
... | Cut a lime wedge. Wet the rim of the glass with the lime wedge. Spread a thin layer of kosher salt on a plate and dip the moistened rim of the glass into the salt. Finally push the middle of the flesh of the lime wedge onto the rim of the glass until the rim touches the inside of the peel. Leave the lime wedge on the r... | 2 | NIv2 | task080_piqa_answer_generation | fs_opt | [
-0.055695176124572754,
0.5933997631072998,
-0.6037134528160095,
0.022130003198981285,
-0.20678295195102692,
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-0.43870753049850464,
0.4964140057563782,
0.10844962298870087,
0.1507178544998169,
0.0770723968744278,
0.2410108745098114,
-0.4099874794483185,
0.020335026085376... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'... | Output: informal
| 2 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
-0.17274150252342224,
0.13488797843456268,
-0.5454893708229065,
0.030854482203722,
0.2572513520717621,
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0.16876354813575745,
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0.061084285378456116,
-0.3380975127220154,
-0.4951377809047699,
-0.4320249557495117,
0.350765675306320... |
instruction:
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.
qu... | suspension
| 9 | NIv2 | task390_torque_text_span_selection | fs_opt | [
0.6027953028678894,
-0.32586556673049927,
-0.2820354998111725,
-0.3856227993965149,
0.24192778766155243,
0.2071601003408432,
0.8724340796470642,
1.0427278280258179,
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0.16794107854366302,
0.2910154163837433,
0.3224552869796753,
-0.12559007108211517,
0.7253115177154541,
... |
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statemen... | There is a search for promising relationships. | 8 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.5452570915222168,
0.17267972230911255,
0.2272413671016693,
0.1649828404188156,
0.3994210660457611,
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0.7512587904930115,
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-0.3359334468841553,
-0.20862439274787903,
-0.7666012048721313,
-0.1511779278516769... |
TASK DEFINITION: This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sa... | How many of Davis's carries were not runs to the left side?
| 8 | NIv2 | task026_drop_question_generation | fs_opt | [
0.8012651205062866,
0.08355797827243805,
-0.6600010991096497,
0.24668103456497192,
0.33211326599121094,
0.05032241344451904,
0.9181200265884399,
0.329385370016098,
-0.24339354038238525,
0.5108627080917358,
-0.5179171562194824,
0.2513315975666046,
-0.7312787771224976,
0.15661612153053284,
... |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Ex Input:
Question: If Milo is liste... | decreases
| 1 | NIv2 | task178_quartz_question_answering | fs_opt | [
0.287514328956604,
0.2955801784992218,
-0.9520978331565857,
1.045572280883789,
0.30585092306137085,
-0.37801408767700195,
0.6623997092247009,
0.6576032638549805,
0.007581314537674189,
-0.038426473736763,
-0.6325506567955017,
-0.511561930179596,
-1.0432887077331543,
-0.4534393548965454,
0... |
Given the task definition and input, reply with output. 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 pos... | [290, 136, 81, 120, -82, -30, 48, 98, 41] | 5 | NIv2 | task122_conala_list_index_addition | zs_opt | [
0.3027709126472473,
-0.350297212600708,
-0.33301353454589844,
-0.26770707964897156,
0.05797595530748367,
-0.22390514612197876,
0.7477995157241821,
0.6820715665817261,
-0.30523037910461426,
-0.1649576723575592,
-0.9047328233718872,
0.15667307376861572,
-0.1948346644639969,
-0.07177586853504... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in order... | Output: 42
| 2 | NIv2 | task218_rocstories_swap_order_answer_generation | fs_opt | [
-0.22040152549743652,
-0.055720701813697815,
-0.11665936559438705,
-0.008493331260979176,
0.45243868231773376,
-0.35939928889274597,
-0.3516162633895874,
1.3954741954803467,
-0.2175590991973877,
0.5835108757019043,
-0.9069099426269531,
-0.11477440595626831,
-0.5622740387916565,
-0.24735102... |
In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity, then retur... | None
| 0 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | fs_opt | [
0.37061139941215515,
0.27874431014060974,
-0.04249555245041847,
-0.17420339584350586,
-0.4665651321411133,
-0.23515444993972778,
0.8988387584686279,
0.22021673619747162,
0.4738547205924988,
-0.6955662965774536,
-0.7633723020553589,
0.36251193284988403,
-0.44893398880958557,
0.0366479270160... |
Part 1. Definition
A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
Part 2. Example
તેમણે અમેઠીમાં કલાશ્નિકોવ એસોલ્ટ રાયફલનુ ઉત્પાદન કરનાર સંયુક્ત સાહસ ઇન્ડો-રશિયન રાયફલ્સ પ્રા
Answer: مشترکہ وینچر انڈو-... | (سی)ریلوے کے آپریشنز، انتظامیہ اور قواعد وضوابط کی جدیدیت۔ | 7 | NIv2 | task1001_pib_translation_gujarati_urdu | fs_opt | [
-0.17765986919403076,
0.4328194260597229,
0.26776033639907837,
-0.6462162137031555,
-0.021157581359148026,
-0.08960602432489395,
0.6926569938659668,
0.45508405566215515,
0.05567294359207153,
-0.5205978751182556,
-1.02237069606781,
0.02515500783920288,
-0.682796835899353,
0.1076003238558769... |
Definition: In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Input: Sentence1: Neil had just arrived in Turkey. Sentence2: He set out to explore the city of Antioch. Sentence3: He saw many churches and cathedrals. Se... | Neil | 2 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
0.0468585342168808,
-0.15957462787628174,
0.2922148108482361,
0.03729981929063797,
0.26692914962768555,
-0.5054049491882324,
0.858253002166748,
-0.02747366763651371,
0.18856677412986755,
0.46410489082336426,
0.020903408527374268,
-0.3023591637611389,
-0.8435245752334595,
0.3807823657989502... |
This task is about translating a given Yoruba language sentence to English.
[Q]: Ó dùn wá pé arákùnrin wa kan kú nígbà tí omi gbé ilé rẹ̀ lọ.
[A]: Sadly, one of our brothers died when his home was swept away in the flood.
[Q]: Ṣùgbọ́n kí ènìyán lè ní ìmáradúró nígbà mìíràn ni ọ̀nà kan ṣoṣo tí a lè fi ran àwọn tí wọ́... | These preach to an estimated 1.4 million people who speak Kwanyama, primarily in Angola and Namibia.
| 5 | NIv2 | task1686_menyo20k_translation | fs_opt | [
0.4140236973762512,
0.9036529660224915,
-0.13971936702728271,
-0.6213034987449646,
-0.05137302726507187,
-1.275816559791565,
-0.08718647062778473,
0.41776326298713684,
-0.7608455419540405,
0.11725008487701416,
-0.012144581414759159,
-0.0038578324019908905,
-0.8735356330871582,
-0.342002332... |
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.
Let me give... | [-8, 82] | 8 | NIv2 | task369_synthetic_remove_odds | fs_opt | [
-0.5642794966697693,
0.6373221278190613,
-0.1596507728099823,
-0.7571233510971069,
0.07330700755119324,
-0.6222805976867676,
0.835940957069397,
0.355377733707428,
0.016197482123970985,
0.578689455986023,
-0.7517581582069397,
-0.2725837528705597,
-0.30654263496398926,
-0.4826709032058716,
... |
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: hong kong share prices plunged #.# percent in early trade on tuesday following the collapse of us investment bank le... | yes
| 5 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.9492015838623047,
0.15853726863861084,
0.15758326649665833,
-0.11713762581348419,
-0.1890978217124939,
-0.17915013432502747,
0.3295389413833618,
0.4109043776988983,
0.27383023500442505,
0.09236199408769608,
-0.4261649250984192,
0.1002286970615387,
-0.2679404020309448,
0.1444845795631408... |
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 is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the pa... | Lawrence Lessig | 0 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.9083033800125122,
0.5086662769317627,
-0.017424002289772034,
0.4974881410598755,
0.24545863270759583,
-0.5593056678771973,
0.40846556425094604,
0.7066333889961243,
0.5302450060844421,
-0.1599372923374176,
-0.0007240902632474899,
0.15902216732501984,
-0.9741583466529846,
-0.19653482735157... |
Teacher:In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Teacher: Now, understand the problem? Solve ... | government | 6 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-1.4112635850906372,
0.2099473476409912,
-0.14339981973171234,
-0.10216036438941956,
-0.09018408507108688,
0.2060546576976776,
0.05149039998650551,
0.678120493888855,
0.09288637340068817,
-0.10278560221195221,
0.0843382179737091,
-0.4283961057662964,
-0.12148673087358475,
-0.63596409559249... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
Problem:Porque parece exactamente igual a uma cultura de células estaminais, com grandes células verdes à volta de células pequenas, imaturas.
Solution: | Porque parecía o mesmiño ca un cultivo de células nai, con células grandes e verdes, arredor das células pequenas e inmaturas. | 8 | NIv2 | task1279_ted_translation_pt_gl | zs_opt | [
-0.5601487159729004,
0.8920917510986328,
-0.47831135988235474,
-0.45135998725891113,
-0.7293289303779602,
-0.43998876214027405,
0.2039157748222351,
0.656761884689331,
-0.3178744912147522,
-0.16453900933265686,
-0.8216820955276489,
0.07864875346422195,
-0.625438392162323,
0.4237358570098877... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
القا... | False | 1 | NIv2 | task396_persianqa_classification | zs_opt | [
0.9911993741989136,
0.4529203772544861,
-0.3967934846878052,
-0.4194681644439697,
-0.32141369581222534,
0.055492233484983444,
1.2842926979064941,
0.4163469672203064,
0.16197466850280762,
0.632614254951477,
-1.2192384004592896,
0.5449066162109375,
-1.1708683967590332,
0.14422190189361572,
... |
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant ... | True
| 7 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
-0.26802682876586914,
0.16668067872524261,
-0.07341687381267548,
-0.04194588214159012,
-0.03908238559961319,
-0.005112692713737488,
0.36849355697631836,
0.8069152235984802,
0.18571801483631134,
-0.03389617055654526,
-1.0423816442489624,
0.07294079661369324,
-0.31094878911972046,
-0.1403826... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC... | None | 8 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | zs_opt | [
-0.24054059386253357,
0.6373093128204346,
0.22330589592456818,
-0.1813187152147293,
-0.5397710800170898,
-0.22092223167419434,
1.36275315284729,
-0.057720769196748734,
0.5060532093048096,
-0.21087980270385742,
-0.9421039819717407,
0.3862389624118805,
-0.08923403173685074,
-0.20471756160259... |
Detailed Instructions: 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... | No | 9 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.505325436592102,
0.48710009455680847,
0.23790550231933594,
-0.4878312051296234,
-0.5331853628158569,
-0.9986563920974731,
1.1043751239776611,
0.6742653846740723,
-0.26189887523651123,
-0.2607998847961426,
-0.24643199145793915,
-0.18551212549209595,
-0.8051936626434326,
0.1241487488150596... |
Definition: 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 s... | She decided to ask her twin Ally to have a drink with her beforehand. She had a drink before waiting for her date to show. Her date drove off without coming to the door cause he thought she wasn't home. | 2 | NIv2 | task269_csrg_counterfactual_story_generation | zs_opt | [
0.2764926552772522,
0.31190168857574463,
0.20181351900100708,
-0.23964805901050568,
-0.02732679434120655,
-0.5251815915107727,
-0.17544753849506378,
0.7479204535484314,
0.010600329376757145,
-0.01054438017308712,
-0.8215109705924988,
-0.18885281682014465,
0.07671669870615005,
0.06905131042... |
A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.
[Q]: دونوں لیڈروں نے ہند- نیپال تعلقات میں پیش رفت اور باہمی مفاد کے دیگر امور پر تبادلہ خیال کیا۔
[A]: ਦੋਨਾਂ ਨੇਤਾਵਾਂ ਨੇ ਭਾਰਤ-ਨੇਪਾਲ ਸਬੰਧਾਂ ਦੀ ਪ੍ਰਗਤੀ ਦੇ ਨਾਲ... | ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਨਾਨਾਜੀ ਦੇਸ਼ਮੁਖ ਨੂੰ ਉਨ੍ਹਾਂ ਦੀ ਜਨਮ ਵਰ੍ਹੇਗੰਢ `ਤੇ ਯਾਦ ਕੀਤਾ
| 5 | NIv2 | task1052_pib_translation_urdu_punjabi | fs_opt | [
-0.16205111145973206,
0.0306056197732687,
-0.12278151512145996,
-0.11710796505212784,
-0.15752266347408295,
-0.16182178258895874,
1.5229461193084717,
0.35725685954093933,
0.14739364385604858,
-0.08489952981472015,
-0.46809473633766174,
0.10009337961673737,
-0.7147706747055054,
-0.213870137... |
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
One example: Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist comp... | Mary Is Coming | 6 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.7609343528747559,
0.528053343296051,
-0.8662322759628296,
1.0583691596984863,
0.5139590501785278,
-0.10030236840248108,
0.6544116735458374,
0.5014083981513977,
-0.06453573703765869,
0.4082911014556885,
-0.0810132846236229,
0.6367955207824707,
-0.9217627048492432,
-0.09417426586151123,
... |
Given a scientific passage and an answer, generate a question for the given answer.
Passage: Blood Supply The major function of the lungs is to perform gas exchange, which requires blood from the pulmonary circulation. This blood supply contains deoxygenated blood and travels to the lungs where erythrocytes, also know... | The lungs perform gas exchange using air and what fluid, which is coming and going from the heart? | 0 | NIv2 | task594_sciq_question_generation | zs_opt | [
1.0836255550384521,
1.166550874710083,
-0.27908825874328613,
-0.018920667469501495,
-0.20556071400642395,
-0.6275681853294373,
0.6280098557472229,
0.4228333830833435,
0.033884596079587936,
-0.13912153244018555,
-0.08453687280416489,
-0.010297500528395176,
-1.1697397232055664,
0.60791170597... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
--------
Question: What sounds like it should have vocal emphasis but does not?, Context: In some languages, such as English, aspiration is allophonic. Stops are distinguished primarily by voicing, ... | growing awareness that practical aspects of the experimental sciences were not well taught and that in the United Kingdom the teaching of chemistry in particular had fallen behind that in Germany
| 7 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.405293732881546,
0.4346253275871277,
0.1819826364517212,
-0.21438245475292206,
0.045036446303129196,
0.16869428753852844,
0.22381094098091125,
0.6761385798454285,
-0.047827962785959244,
0.23637238144874573,
0.10271002352237701,
-0.20200462639331818,
-0.5537618398666382,
0.049715187400579... |
You will be given a definition of a task first, then some input of the task.
You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
Syst... | 0 | 1 | NIv2 | task1186_nne_hrngo_classification | zs_opt | [
-0.5130601525306702,
0.7710465788841248,
-0.08805136382579803,
0.07593145966529846,
-0.4948635697364807,
0.12728877365589142,
0.9161837100982666,
0.43745386600494385,
-0.1799352765083313,
-0.18926143646240234,
-0.3573046624660492,
-0.045584991574287415,
-0.7736401557922363,
-0.272363901138... |
Detailed Instructions: In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Q: I had a handful of these crackers last night ... | 1 | 9 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
0.4471820890903473,
-0.06534033268690109,
-0.10075174272060394,
-0.7008259296417236,
0.41485002636909485,
-0.34489744901657104,
1.0079001188278198,
0.36693117022514343,
-0.36747488379478455,
0.045267798006534576,
-0.4266142249107361,
-0.018484726548194885,
-0.5653583407402039,
-0.574721455... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with les... | A worker is standing on top of a plank because he dropped his ladder. | 1 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
-0.11017908155918121,
0.4610588848590851,
0.005377527792006731,
-0.1434318870306015,
0.3026095926761627,
-0.26750272512435913,
-0.4842837452888489,
1.461085557937622,
-0.22993206977844238,
-0.262578547000885,
-0.5872968435287476,
-0.13732875883579254,
-0.31106460094451904,
-0.7843722105026... |
Detailed Instructions: Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the i... | Sam was the only driver at the intersection. | 4 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.4100910425186157,
0.038675885647535324,
0.05507670342922211,
0.43188583850860596,
0.22599563002586365,
-0.7602198123931885,
-0.004440763033926487,
1.0207043886184692,
-0.1773054003715515,
-0.15954053401947021,
-0.7180494070053101,
-0.34735536575317383,
-0.1112368255853653,
-0.11183903366... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Q: アフリカに行き手助けしようと思うならただ行って2 〜 3年で帰るのでなく
A: مهم است مردمی که به آفریقا می روند و تلاش برای کمک می کنند ، صرفا به آنجا نروند و بعد از چند سالی هم برگردند.
****
Q: 今まではどうやっても軟骨を作り出せなかったのに
A: بخاطر داشته باشید چطور نتوان... | ما خودمون دست به کارِ باز سازی جامعه شدیم ، و ما همه اینها را بدون تنظیمِ حتی یک برگ سندِ راهبردی انجام دادیم.
****
| 4 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
0.22231508791446686,
0.26370686292648315,
-0.21819478273391724,
-0.32468608021736145,
-0.6030058860778809,
-0.9634689688682556,
0.7811539173126221,
0.11109916865825653,
-0.36044275760650635,
-0.6657660007476807,
-0.7057161331176758,
1.225658893585205,
-0.742393434047699,
0.2738713026046753... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'... | informal
| 7 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
0.17935526371002197,
0.3487476706504822,
-0.015488510951399803,
-0.22842569649219513,
-0.005524585489183664,
0.12565720081329346,
0.6186161041259766,
0.200060173869133,
-0.2617330849170685,
0.058964803814888,
-0.4101564884185791,
-0.17365774512290955,
-0.03216243162751198,
0.51730573177337... |
In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Example input: A photo series on the popular Humans of New York Facebook page may have went viral and captured the nation’s attention last Tuesday, but for Daniel Kang, the post really hit home.... | The desired mood of your Thanksgiving meal should determine what type of alcohol you serve: red wine for a sleepy, relaxed atmosphere or spirits for a sexy, confident air. That's the conclusion of a new survey analyzing how different types of alcohol make people feel. The reasons behind the feelings aren't fully unders... | 3 | NIv2 | task1291_multi_news_summarization | fs_opt | [
0.6557739973068237,
0.1467188000679016,
-0.03915645182132721,
-0.23908501863479614,
0.8989441394805908,
-0.2440418303012848,
1.1600916385650635,
0.8706133365631104,
-0.3252435028553009,
0.6535649299621582,
0.02950800023972988,
0.37183332443237305,
-0.32710617780685425,
0.5175995230674744,
... |
Detailed Instructions: In this task, we ask you to elaborate the sentence without changing its general meaning. You can do so by explaining further the input sentence, using more precise wording, adding qualifiers and auxiliary information etc.
Q: The United Nations ' Declaration on the Elimination of Violence against ... | The UN Declaration on the Elimination of Violence Against Women states , " violence against women is a manifestation of historically unequal power relations between men and women " and " violence against women is one of the crucial social mechanisms by which women are forced into a subordinate position compared with me... | 9 | NIv2 | task955_wiki_auto_style_transfer | zs_opt | [
-0.29240915179252625,
1.2743151187896729,
-0.8845775127410889,
-0.21014030277729034,
-0.30539071559906006,
-1.2326964139938354,
0.7691250443458557,
0.26490843296051025,
0.1501493752002716,
0.0840243399143219,
-0.5321868658065796,
0.470003217458725,
-0.7630179524421692,
-0.2270675152540207,... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Input: Consider Input: صوت الكتروني: لقد وصلتي.
Output: ק.א: הגעת.
Input: Consider Input: وفي نهاية القراءة ، قامت كاثرين كيدي من وكالة "" كيدي ، هويت وبيكارد "" الأدبية ، بالمجيء إلي ومصافحة يدي. وقدموا لي الرعاية الأدبية... | Output: המנגרובים שימשו לאספקת עץ דבש ועלים לבעלי החיים, כך שהם יכלו להפיק חלב ודברים נוספים, כפי שאנו עשינו בביוספירה.
| 2 | NIv2 | task1233_ted_translation_ar_he | fs_opt | [
-0.616828203201294,
0.5617707967758179,
-0.3903619050979614,
-0.720460057258606,
-0.8764489889144897,
-0.3747630715370178,
0.9128208160400391,
-0.6266635656356812,
0.2944832146167755,
-0.055208295583724976,
-0.07643036544322968,
0.0802878588438034,
-0.8639975786209106,
0.40868380665779114,... |
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer ... | number | 6 | NIv2 | task027_drop_answer_type_generation | fs_opt | [
0.6951569318771362,
0.6884775161743164,
-0.4243486821651459,
-0.21449345350265503,
0.14572741091251373,
-0.7719170451164246,
0.8570473790168762,
0.2901620864868164,
0.6379261016845703,
-0.18974000215530396,
-0.5567808151245117,
0.5275415182113647,
-0.6565955877304077,
-0.16711105406284332,... |
Teacher:In this task, you are given a sentence in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? Solve this instance: shut her sketch book, saying with condescension,
Student: | دفتر طراحیاش را بسته و با فروتنی و تواضع گفت: | 6 | NIv2 | task661_mizan_en_fa_translation | zs_opt | [
-0.24561268091201782,
0.6759539842605591,
0.2241281419992447,
-0.860919713973999,
-0.24656833708286285,
-0.24561019241809845,
0.05644477158784866,
0.09685395658016205,
0.8073369264602661,
0.04174620658159256,
0.061990026384592056,
0.45338666439056396,
-0.3278461992740631,
-0.87306177616119... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Isto inclúe un sistema en árabe chamado al-jebra.
Solution: Tra di esse, si annovera il piccolo sis... | E inoltre c'è ovviamente una componente di violenza sessuale, per cui questo tipo di sorveglianza può essere usato più efficacemente contro le donne e contro persone che possono essere umiliate. | 0 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.5666719675064087,
0.909358561038971,
-0.37067118287086487,
0.23867326974868774,
-0.38350874185562134,
-0.33432698249816895,
1.1077182292938232,
0.7286813259124756,
-1.1672637462615967,
0.010978830978274345,
-0.6462979316711426,
-0.06920872628688812,
-0.5475057363510132,
0.43302986025810... |
In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
Example Input: Pops great in the microwave. Much better than many store brands. Good product.
Summary: Very good popocorn
Example Output: Fal... | False
| 3 | NIv2 | task590_amazonfood_summary_correction_classification | fs_opt | [
-0.4200246334075928,
-0.28692004084587097,
-0.2330474555492401,
-0.26313307881355286,
-0.12930843234062195,
-0.6508437991142273,
0.8294822573661804,
0.8031162619590759,
-0.3430768549442291,
-0.02550814487040043,
-0.1966458559036255,
-0.07579561322927475,
-0.8186310529708862,
-0.47170948982... |
Part 1. Definition
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Part 2. Example
Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Answer: خوب ، من چیزی نمیگم ، اما در واقع یک... | "" خوب آره ، ما باید تولید پا رو افزایش بدیم. | 7 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.2597406506538391,
0.4208703637123108,
-0.2270558625459671,
0.26709961891174316,
-0.23170900344848633,
-0.106935515999794,
0.5465177893638611,
0.47793054580688477,
-0.5552942156791687,
-0.33517923951148987,
-0.7740428447723389,
0.2547953426837921,
-0.19712033867835999,
-0.274070620536804... |
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.
It is Horrible! . I can't believe how you nice little English people can actually edit su... | NEG | 0 | NIv2 | task476_cls_english_books_classification | zs_opt | [
-0.4198051989078522,
0.23097312450408936,
0.7708892822265625,
-0.5993455052375793,
0.6804659366607666,
-0.7130969762802124,
0.6714125871658325,
0.03496161848306656,
0.24163514375686646,
0.37173032760620117,
-0.6831158995628357,
-0.40694084763526917,
-0.07031264901161194,
-0.528660774230957... |
Given the task definition and input, reply with output. 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 th... | Alphabets Win | 5 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
-0.2176833599805832,
0.7349275350570679,
-0.3183342516422272,
-0.24765677750110626,
-0.7018305063247681,
-0.16296502947807312,
0.5767648816108704,
-0.5352159738540649,
0.03408169746398926,
0.19356799125671387,
-0.9150332808494568,
0.19638217985630035,
-0.4332297146320343,
0.306216776371002... |
TASK DEFINITION: Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
PROBLE... | effect
| 8 | NIv2 | task1629_copa_hr_classification | fs_opt | [
-0.6051520109176636,
0.43027472496032715,
-0.8501383066177368,
-0.08471567928791046,
-0.6962098479270935,
-0.6694567799568176,
0.4799826443195343,
0.01778959110379219,
-0.10561211407184601,
-0.12122413516044617,
0.0624498650431633,
0.6476932764053345,
-0.5463066101074219,
-0.01214353926479... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Example: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Example solution: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Example explanation: The Hebrew... | Solution: هاه ؟ هاه ؟ ماذا ؟ لا يمكن أن نسمع لكم "". (ضحك) وخصلة أخرى للمحتالين أنه الحظ الذكي | 5 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.19047877192497253,
0.459008127450943,
0.04104098677635193,
-0.7971295714378357,
-0.3303009271621704,
0.01811486855149269,
1.339141845703125,
-0.2825494408607483,
0.493869423866272,
-0.16125604510307312,
-1.2329585552215576,
-0.2679328918457031,
-0.7451528310775757,
-0.2323358952999115,
... |
Instructions: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Input:... | Yes | 3 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.1571250855922699,
0.7417542934417725,
0.3502177596092224,
-0.20965930819511414,
-0.2338801920413971,
-0.6756039261817932,
-0.007331087253987789,
0.3557905852794647,
-0.12221049517393112,
-0.38324540853500366,
-0.2653540372848511,
-0.05993227660655975,
-0.01664971187710762,
0.16986683011... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
A idea de Svalbard xurdíu porque alí vai frío, así que podemos ter temperaturas de conxelación natural.
A: | Hacerlo en Svalbard es porque hace frío, así que conseguimos las temperaturas de congelación natural. | 7 | NIv2 | task1240_ted_translation_gl_es | zs_opt | [
-0.5438010096549988,
1.0493720769882202,
-0.8313737511634827,
-1.235866665840149,
-0.46240976452827454,
-1.8103320598602295,
-0.2850751578807831,
0.2733680009841919,
-0.05448625236749649,
0.24266938865184784,
0.44774991273880005,
0.5797369480133057,
-1.2409318685531616,
0.48401468992233276... |
Given the task definition and input, reply with output. In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit ... | 687616172 | 5 | NIv2 | task1443_string_to_number | zs_opt | [
-0.886850118637085,
1.348188877105713,
-0.07753336429595947,
-0.8669567108154297,
-0.3766205310821533,
-0.29273951053619385,
0.45389410853385925,
0.026073671877384186,
0.222968190908432,
-0.5334662199020386,
-0.51302170753479,
0.387973427772522,
-0.8249659538269043,
0.06587386876344681,
... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Input: هنگامی که به ما گفته میشود بانکداری شغلی بسیار قابل احترام است بسیاری از ما می خواهیم بانکدار شویم.
Output: | فعندما يُقال لنا ان العمل في المصارف هو مهنة محترمة جدا فجميعنا سوف ينساق الى الرغبة بالعمل في المصارف | 3 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
-0.30429327487945557,
0.7692347764968872,
-0.5269159078598022,
-0.5143308639526367,
-0.6555032730102539,
0.10412631928920746,
0.8180725574493408,
-0.36828094720840454,
0.8942818641662598,
0.09453515708446503,
-0.9255474805831909,
0.12166967242956161,
-0.40303999185562134,
0.350200235843658... |
instruction:
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.... | [81]
| 9 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.9191555380821228,
0.34828370809555054,
-0.08737780153751373,
-0.7689798474311829,
0.09264656901359558,
-0.3384696841239929,
0.7339774370193481,
0.41463345289230347,
-0.6403495073318481,
0.7361496090888977,
-0.8486435413360596,
0.27074265480041504,
0.00007415690924972296,
-0.338269621133... |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post co... | NOT
****
| 4 | NIv2 | task286_olid_offense_judgment | fs_opt | [
-0.9441243410110474,
0.22882205247879028,
0.44230949878692627,
0.4003697633743286,
0.027895081788301468,
-0.9431614875793457,
0.06341762840747833,
0.617030918598175,
0.5946954488754272,
0.4963884651660919,
0.20381194353103638,
-0.06456867605447769,
-0.4756670594215393,
-0.21776580810546875... |
Teacher: 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 ... | 2, She was told she needed braces again. | 2 | NIv2 | task299_storycloze_sentence_generation | fs_opt | [
0.14122985303401947,
0.09177102148532867,
-0.18695521354675293,
-0.3191429078578949,
0.5464282035827637,
-0.4082774519920349,
0.5651261806488037,
0.9562857151031494,
-0.19158342480659485,
-0.04777289554476738,
-0.07685267925262451,
-0.29962533712387085,
-0.2781962454319,
-0.007054377812892... |
Given the task definition and input, reply with output. 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".
Japanese: ニューヨークタイムズと... | Yes | 5 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.9679242372512817,
0.33524590730667114,
0.28934988379478455,
0.8436973094940186,
-0.22554361820220947,
0.012833540327847004,
0.6356828212738037,
0.03215039148926735,
0.11797434836626053,
-0.25254732370376587,
0.0003671433078125119,
0.4443848431110382,
-0.43410834670066833,
0.040444761514... |
In this task, 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.
[EX Q]: Unfortunately they didn’t work for me at all for they doesn’t work with soft tissue. My skin tissue is too soft and it won’t stay in place.... | positive
| 6 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
0.08091465383768082,
0.20994409918785095,
0.11553901433944702,
-0.37376609444618225,
0.17948605120182037,
-0.3390773832798004,
1.0349878072738647,
0.7270076870918274,
-0.08198343217372894,
0.14580798149108887,
-0.10282815992832184,
-0.07703198492527008,
-0.946765124797821,
-0.5676813721656... |
Teacher:In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positions ... | 2b, 3c | 6 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
-0.4155787229537964,
0.03970274329185486,
0.3952288031578064,
-0.24621149897575378,
0.32109391689300537,
-0.46867483854293823,
0.2021513283252716,
1.0722920894622803,
-0.4738788902759552,
0.48332440853118896,
-0.20798413455486298,
0.10066913068294525,
0.15935593843460083,
-0.78669577836990... |
Part 1. Definition
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).
Part 2. Example
Está, sin duda, dentro de la línea de las posiciones que nuestro Parlamento ... | That is a question of solidarity and progress. | 7 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
0.11171384155750275,
0.9261502623558044,
0.3098047971725464,
-0.18025420606136322,
0.2266615778207779,
-1.0175395011901855,
1.3332699537277222,
0.6160523295402527,
0.14208295941352844,
-0.007259942591190338,
-0.2339944839477539,
0.5337204337120056,
-0.9671075344085693,
0.028747307136654854... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Fact1: seed dispersal has a positive impact on a plant, Fact2: Seed dispersal is... | D | 1 | NIv2 | task1297_qasc_question_answering | zs_opt | [
-0.5547519326210022,
0.3605949282646179,
-0.35536956787109375,
-0.36059144139289856,
-0.6826765537261963,
-0.9159026145935059,
0.4507231116294861,
0.9394100904464722,
-0.050383638590574265,
0.09304209798574448,
-1.1356465816497803,
-0.09477666020393372,
-0.31208905577659607,
-0.05760769546... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possibl... | Jane goes to the fair >Causes/Enables> Jane sees games | 1 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
-0.07344329357147217,
0.6013577580451965,
-0.7401144504547119,
0.11503561586141586,
-0.35644805431365967,
-0.04279477521777153,
0.35499995946884155,
0.7067062854766846,
-0.38364312052726746,
0.054250385612249374,
-0.4616188704967499,
0.7025884389877319,
0.06169750913977623,
-0.261731624603... |
Teacher: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Aquí esta la medusa ala-x de la muerte.
Solution: Qui c'è la medusa mortale con le ali ad X.
Reason: The Spanish sentence ... | Queste barriere nella baia Discovery in Giamaica sono state le barriere coralline più studiate nel mondo, per 20 anni. | 2 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
0.17151890695095062,
0.4653061032295227,
-0.825871467590332,
-0.5204880237579346,
-0.628536581993103,
-0.8129467368125916,
-0.038384951651096344,
0.8725336194038391,
-0.25771626830101013,
-0.22683650255203247,
0.1514214426279068,
-0.056571222841739655,
-0.5817497372627258,
0.38153395056724... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given 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 re... | No | 0 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.18250006437301636,
0.02966947667300701,
0.19722220301628113,
0.20319172739982605,
-0.1864275336265564,
-0.7143699526786804,
1.051424503326416,
0.6936718225479126,
-0.5994667410850525,
0.026241496205329895,
-0.35693007707595825,
-0.3207678198814392,
-0.5785514712333679,
0.3858115375041961... |
Detailed Instructions: In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
See one example below:
Problem: Revie... | False | 4 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.5637026429176331,
0.02120962180197239,
0.06215459480881691,
-0.21371446549892426,
-0.055948298424482346,
-0.5696495771408081,
0.3671215772628784,
0.751225471496582,
-0.22767707705497742,
0.4703584313392639,
-0.23730234801769257,
-0.07610238343477249,
-0.5514838099479675,
-0.069769956171... |
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 | task1204_atomic_classification_hinderedby | fs_opt | [
0.6745211482048035,
-0.08289287984371185,
0.2592321038246155,
0.13668292760849,
-0.47449755668640137,
-1.144085168838501,
0.4862234890460968,
0.4428856074810028,
-0.5978558659553528,
-0.00046590191777795553,
-0.7763204574584961,
-0.5025653839111328,
-0.8286569714546204,
-0.3305744528770447... |
A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
One example is below.
Q: ਸਾਡੇ ਇੱਕ ਪੁਰਾਤਨ ਗਰੰਥ ਅਥਰਵਵੇਦ ਵਿੱਚ ਕਿਹਾ ਗਿਆ ਹੈ
A: எமது பண்டைய கிரந்தணிப்பு
Rationale: Correct translation for given sentence. Input... | ஆணையத்தின் வரம்புகளை விரிவுபடுத்துவதில் உதவி செய்வது மற்றும், நிதி பகிர்வில் தேசிய மற்றும் சர்வதேச அளவிலான சிறந்த நடைமுறைகளை பின்பற்ற உதவுவது மற்றும் தரத்தை மேம்படுத்தி, பரிந்துரைகளை நடைமுறைப்படுத்துவதில் உதவி செய்தல். | 9 | NIv2 | task1015_pib_translation_punjabi_tamil | fs_opt | [
-0.5999710559844971,
1.0743458271026611,
0.32254403829574585,
-0.02796415239572525,
-0.17928996682167053,
-1.2067207098007202,
0.6377116441726685,
-0.17988194525241852,
-0.14936646819114685,
0.25839662551879883,
-0.6233595609664917,
0.1481863260269165,
-1.2533189058303833,
0.28442549705505... |
Teacher:In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the... | NOT | 6 | NIv2 | task286_olid_offense_judgment | zs_opt | [
-1.3583329916000366,
0.3619765639305115,
0.481550931930542,
0.5830919742584229,
-0.26635944843292236,
-1.0412944555282593,
0.44825658202171326,
0.6578208804130554,
0.6680909395217896,
0.22091954946517944,
0.6309699416160583,
0.09351183474063873,
-0.3897843062877655,
-0.7268412709236145,
... |
This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creati... | What is the title of the book by Madonna's brother?
| 1 | NIv2 | task074_squad1.1_question_generation | fs_opt | [
0.7161033153533936,
0.45025908946990967,
-0.6675025224685669,
0.17909963428974152,
0.34006401896476746,
-0.4004836082458496,
0.47609850764274597,
0.7603330612182617,
0.10301382839679718,
0.4372269809246063,
-0.4256656765937805,
0.5355914235115051,
-0.3321624994277954,
0.07270380854606628,
... |
instruction:
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
question:
Context: Robin fed the newborn baby a bottle of milk.
Answer: watch the baby
answer:
What will Robin want to do... | How would you describe Kendall?
| 9 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
0.19010622799396515,
0.9313558340072632,
0.6227922439575195,
-0.7656317949295044,
0.11199447512626648,
-0.5129319429397583,
0.05937942862510681,
0.8902793526649475,
0.8680807948112488,
0.09744200110435486,
0.23704078793525696,
0.24669185280799866,
-1.049588680267334,
0.5810350179672241,
... |
A text is given in Oriya. Translate it from the Oriya language to the Tamil language. The translation must not omit or add information to the original sentence.
Ex Input:
இந்தத் தகவல்களை நிதித்துறை இணையமைச்சர் திரு சந்தோஷ்குமார் கங்குவார் இன்று மாநிலங்களவையில் கேள்வி ஒன்றுக்கு எழுத்துமூலம் அளித்த பதிலில் தெரிவித்தார்.... | ଆଧୁନିକ ସୁବିଧା ସହିତ ଜଡ଼ିତ ଗାଁ ଆଉ ସମାଜ ଦିଗରେ ଆମେ ଦ୍ରୁତ ଗତିରେ ଆଗକୁ ବଢ଼ୁଛୁ ଆଉ ଏଥିପାଇଁ କେତେ ବଡ଼ ସଂଖ୍ୟାରେ ମୋର ଭାଇ ଓ ଭଉଣୀମାନେ, ଆଜି ମୋତେ ସୁଯୋଗ ମିଳିଛି କଥା ହେବା ପାଇଁ.
| 1 | NIv2 | task1074_pib_translation_tamil_oriya | fs_opt | [
-0.7762089967727661,
0.4528800845146179,
-0.4912858307361603,
-0.15127545595169067,
-0.253966748714447,
-1.0773630142211914,
0.6920936107635498,
0.5694885849952698,
-0.3205500543117523,
0.07459704577922821,
-0.12009480595588684,
0.22292891144752502,
-0.7876948118209839,
0.14879398047924042... |
In this task, you are given music 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.
It sucks . It sucks, she sucks. OOOOOOOOOOOOOOOOo big suprise. She might as well just cr... | NEG | 0 | NIv2 | task478_cls_english_music_classification | zs_opt | [
-0.46511614322662354,
0.47346019744873047,
0.21708473563194275,
-0.2653699517250061,
0.8780368566513062,
-0.7599225640296936,
0.4068719148635864,
0.6222377419471741,
0.19092456996440887,
0.7963676452636719,
-0.2343015968799591,
-0.41803696751594543,
0.27659204602241516,
-0.5765107870101929... |
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 science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning... | A | 0 | NIv2 | task228_arc_answer_generation_easy | fs_opt | [
0.6625526547431946,
0.3637467920780182,
-1.1141605377197266,
0.313890665769577,
-0.2635205388069153,
-0.3525848984718323,
0.6475673913955688,
0.7135432958602905,
-0.2828710079193115,
0.00980636291205883,
-0.22767920792102814,
0.731245219707489,
-0.10253367573022842,
0.18384508788585663,
... |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used f... | PRON | 4 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.3573188781738281,
0.03860060125589371,
-0.1871110051870346,
0.09553621709346771,
-0.1918875277042389,
-0.6739174127578735,
0.6623712778091431,
0.6107834577560425,
-0.16444501280784607,
0.008173615671694279,
-0.6949702501296997,
0.07515783607959747,
-0.4929099678993225,
0.1981627196073532... |
Given the task definition and input, reply with output. 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.
Binignit | mainI... | Taro is a main ingredient of Binignit. | 5 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
-0.8978400826454163,
0.6875734925270081,
-0.0925818383693695,
-0.18130964040756226,
-0.3375147581100464,
0.3724728524684906,
1.344687819480896,
-0.4878302216529846,
-0.6807054281234741,
-0.21065309643745422,
-0.7041481733322144,
0.09746523201465607,
-0.44650769233703613,
0.0974663645029068... |
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any external k... | Who goes skinny dipping in the pool? | 6 | NIv2 | task193_duorc_question_generation | fs_opt | [
0.5359658002853394,
0.06736323237419128,
-0.3914410173892975,
-0.627537727355957,
0.11400370299816132,
-0.22785213589668274,
0.8923854827880859,
0.5628107786178589,
-0.03726910054683685,
0.3148822784423828,
-0.030665423721075058,
-0.13100257515907288,
-0.7387747764587402,
0.366739451885223... |
Detailed Instructions: Two analogies on manipulating items in a kitchen is given in the form "A : B. C : ?". The phrase "A : B" relates item A to its appropriate manipulation B. Your task is to replace the question mark (?) with the appropriate manipulation of item C, following the "A : B" relation. Your answer should ... | shell | 8 | NIv2 | task1158_bard_analogical_reasoning_manipulating_items | zs_opt | [
0.24003612995147705,
1.3565882444381714,
-0.6939281821250916,
0.18549056351184845,
0.026540253311395645,
-0.4731273651123047,
0.8973202705383301,
0.5263432264328003,
0.2115030586719513,
0.04658983647823334,
0.06274566799402237,
-0.10746277868747711,
0.08846991509199142,
0.11005640029907227... |
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit... | 2
| 7 | NIv2 | task956_leetcode_420_strong_password_check | fs_opt | [
0.6490609645843506,
1.1270790100097656,
-0.12255237251520157,
-0.8222842812538147,
0.1580512523651123,
-0.12827038764953613,
1.4503822326660156,
-0.418509304523468,
0.22248749434947968,
-0.8942265510559082,
-0.06128418818116188,
-0.35516130924224854,
-0.855400562286377,
-0.2491455972194671... |
Detailed Instructions: In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D".... | A | 8 | NIv2 | task309_race_answer_generation | zs_opt | [
-0.2683691382408142,
0.5145648717880249,
-0.2955631613731384,
0.023606417700648308,
0.5563689470291138,
-0.475991427898407,
0.8555537462234497,
0.7246893644332886,
-0.533760666847229,
0.557534396648407,
0.2623438835144043,
-0.010723445564508438,
-0.46312078833580017,
-0.023085393011569977,... |
Given the task definition and input, reply with output. In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
the administrators of the northern territory and norfolk island are , by contrast , appoin... | the giverner-general appoints the adminstartors of the northern territory and norfolk island. | 5 | NIv2 | task934_turk_simplification | zs_opt | [
-0.34910786151885986,
0.8162271976470947,
0.28434064984321594,
-0.9378188252449036,
-0.16782167553901672,
-0.6803513765335083,
0.678655743598938,
-0.6616944670677185,
0.2551032304763794,
-0.6170099377632141,
0.09055843949317932,
-0.05995937064290047,
-0.8161765336990356,
0.3960219323635101... |
Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
A third opportunity to flag shooter Devin Kelley was lost two years later by a twist of bad luck when a Pen... | Longtime local television news anchor in Buffalo dies at 87
| 0 | NIv2 | task418_persent_title_generation | fs_opt | [
0.10330190509557724,
0.576382040977478,
-0.9956867098808289,
-0.10573640465736389,
0.9460081458091736,
0.010428443551063538,
0.8442903161048889,
1.055255651473999,
-0.7234575748443604,
0.3519807457923889,
-0.4155550003051758,
1.0373122692108154,
-0.4959251880645752,
0.5541355609893799,
-... |
Q: In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
a motorcycle and a three wheeler both coming same direction on both sides of street
A: | એક મોટરસાઇકલ અને ત્રણ વ્હીલર બન્ને શેરીના બંને બાજુઓ પર સમાન દિશામાં આવે છે | 7 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | zs_opt | [
-0.5154246091842651,
0.5291279554367065,
-0.12143707275390625,
-0.7823547124862671,
0.34948843717575073,
-0.22593137621879578,
-0.07041607052087784,
0.17272573709487915,
0.008761230856180191,
-0.4495515823364258,
-0.7896482348442078,
0.38639333844184875,
-0.13884615898132324,
-0.5557221770... |
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Input: Consider Input: Thou shalt sanctify him therefore; for he offereth the bread of thy God: he shall be holy unto thee: for I the LORD, which sanctify you, am holy.
Output: و ازمکان مقدس بیرون نرود، و ... | Output: و العازار کاهن به مردان جنگی که به مقاتله رفته بودند، گفت: «این است قانون شریعتی که خداوند به موسیامر فرموده است:
| 2 | NIv2 | task655_bible_en_fa_translation | fs_opt | [
-0.1127479076385498,
0.3965093493461609,
-0.5555816292762756,
-0.17665942013263702,
-0.6836627721786499,
-0.24678471684455872,
0.3529148995876312,
0.1905006617307663,
0.4944290518760681,
0.0028409031219780445,
-0.6335862874984741,
1.2286285161972046,
-0.6678467988967896,
-0.591521620750427... |
Teacher: In each example you will read a short sentence (or two). Then, a pronoun in the text is mentioned. Your task is to choose a referent which the mentioned pronoun refers to. You will be given two options in each case and one choice should seem much more likely to you than the other.
Teacher: Now, understand the ... | joan and anne | 2 | NIv2 | task249_enhanced_wsc_pronoun_disambiguation | fs_opt | [
-0.6288033723831177,
0.529857873916626,
0.31771838665008545,
-0.4536091387271881,
-0.08298466354608536,
-0.48017117381095886,
0.7206143140792847,
0.688758134841919,
-0.6523585319519043,
-0.22916309535503387,
0.1696528196334839,
0.18889158964157104,
-0.8395044803619385,
0.07713098078966141,... |
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