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 |
|---|---|---|---|---|---|---|
Teacher:Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Teacher: Now, understand the problem? Solve this instance: Pos... | Negative | 6 | NIv2 | task823_peixian-rtgender_sentiment_analysis | zs_opt | [
-0.9654572606086731,
-0.1354185938835144,
0.3561466336250305,
-0.13140961527824402,
0.2551310062408447,
-0.521007776260376,
0.36339348554611206,
0.43931591510772705,
0.8120852112770081,
0.1566706895828247,
0.2127196192741394,
0.11068916320800781,
-0.26534977555274963,
-0.40549057722091675,... |
Given the task definition and input, reply with output. Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Problem: a jar ful... | c | 5 | NIv2 | task1678_mathqa_answer_selection | zs_opt | [
0.10642988979816437,
0.5413765907287598,
0.16314318776130676,
-0.03452400863170624,
-0.2570435106754303,
-0.26955750584602356,
0.6134020090103149,
0.9195583462715149,
0.6964879035949707,
-0.21766981482505798,
-0.06836941838264465,
0.07903939485549927,
-0.05467601865530014,
0.02951062843203... |
TASK DEFINITION: Read the passage and find the corresponding person for the given pronoun. The word between ** ** is the target pronoun.
PROBLEM: During Lt. Gen. James Longstreet 's Knoxville Campaign that winter against Union-held Knoxville, Tennessee, Leadbetter was sent by army commander Gen. Braxton Bragg to aid th... | Rosa Mendes
| 8 | NIv2 | task891_gap_coreference_resolution | fs_opt | [
0.3403491973876953,
0.4143604040145874,
-0.4366160035133362,
-0.21610412001609802,
0.1723821610212326,
0.052874527871608734,
0.5751259326934814,
0.20160123705863953,
-0.6416084170341492,
-0.04807870835065842,
0.0038721375167369843,
0.1485702395439148,
-0.19489192962646484,
-0.4670618772506... |
Detailed Instructions: In this task, you are given two natural language statements with similar wording. You must choose the statement that makes less sense based on common sense knowledge. A '
' separates the statements. Use "first" or "second" to indicate which sentence makes less sense.
Problem:clippers is for keepi... | second | 8 | NIv2 | task291_semeval_2020_task4_commonsense_validation | zs_opt | [
-0.6884230375289917,
0.38705673813819885,
-0.4159625768661499,
-0.14159345626831055,
-0.36721372604370117,
-0.7966136932373047,
0.13293486833572388,
0.38787809014320374,
-0.3702351450920105,
0.3468500077724457,
-0.10983644425868988,
-0.5323961973190308,
-0.44710731506347656,
-0.22308531403... |
Q: In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coo... | False | 7 | NIv2 | task346_hybridqa_classification | zs_opt | [
0.04459962993860245,
0.5390698909759521,
-0.2887965440750122,
0.4119003415107727,
0.2153763771057129,
-0.4826461672782898,
0.9033113121986389,
0.7229386568069458,
-0.33220750093460083,
0.020709581673145294,
-0.6604819893836975,
0.478415310382843,
0.3602358102798462,
-0.21116389334201813,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Example: Terán seguro para pagar a receita?
Example solution: 処方箋を支払う為の保険は ？
Example explanation: The Galician sentence is correctly translated into Japanese, because the meaning is preserved.
Problem: Unhas semanas mái... | Solution: 何週間後かに記事を目にします「ところでその4分の1が死んでしまった」と | 5 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.8580660820007324,
0.7753071188926697,
0.3011859655380249,
-0.6808849573135376,
-0.03781573474407196,
-0.9263002872467041,
1.290738821029663,
-0.21274088323116302,
-0.24069947004318237,
-0.546546459197998,
-0.4932757318019867,
0.13069751858711243,
-0.320258766412735,
0.7764077186584473,
... |
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 might happen after talking with your mom ? | 0 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
1.0191676616668701,
0.22131593525409698,
-0.018151437863707542,
0.40723589062690735,
-0.1159052699804306,
-0.5074758529663086,
0.3110330104827881,
0.7612127661705017,
-0.134736567735672,
0.23536300659179688,
-0.4751587510108948,
-0.26898980140686035,
-0.5688105225563049,
0.0138425882905721... |
In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office Holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Fil... | 12
| 6 | NIv2 | task629_dbpedia_14_classification | fs_opt | [
-0.4354724884033203,
0.9637165665626526,
-0.11151495575904846,
0.3277455270290375,
0.003100594040006399,
-0.047257810831069946,
0.032943353056907654,
0.2789904475212097,
0.14476439356803894,
-0.11976997554302216,
-0.43657898902893066,
0.3933839797973633,
-0.641427755355835,
0.2039380222558... |
Given the task definition and input, reply with output. In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "Fal... | True | 5 | NIv2 | task1308_amazonreview_category_classification | zs_opt | [
-0.7129765748977661,
0.26193344593048096,
0.4559732675552368,
-0.373050332069397,
-0.049119919538497925,
0.36455512046813965,
0.6314937472343445,
0.1663282811641693,
0.029642298817634583,
0.31408005952835083,
-0.6843514442443848,
0.025547323748469353,
-0.6075482964515686,
-0.04749276489019... |
Q: A text is given in Hindi. Translate it from the Hindi language to the Oriya language. The translation must not omit or add information to the original sentence.
2018 ନଭେମ୍ବର 25 ତାରିଖରେ ସଂରକ୍ଷଣ ଦିବସ ପାଳନ କରାଯିବ । ପରିବେଶ ସଂରକ୍ଷଣ ବାବଦରେ ସଚେତନତା ସୃଷ୍ଟି କରିବା ଲକ୍ଷ୍ୟରେ ଅନେକ କାର୍ଯ୍ୟକ୍ରମ ଆୟୋଜନ କରାଯିବ ।
A: | पिछले चार वर्षों के दौरान जिस उल्लेखनीय गति से स्वच्छता सुविधाओं का विस्तार किया गया है, उससे हम भारत के लोग गौरवान्वित हैं। | 7 | NIv2 | task986_pib_translation_oriya_hindi | zs_opt | [
0.2534322142601013,
0.6673016548156738,
0.0678444504737854,
0.21089856326580048,
-0.7930474281311035,
-2.0092997550964355,
-0.01239563524723053,
0.5113615989685059,
-0.8747483491897583,
-0.12176176905632019,
-0.025984592735767365,
-0.8909919857978821,
-0.29741019010543823,
-0.0903862863779... |
Teacher:In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? Solve this instance: That was because there came to them their messengers with Clear (Signs), but they rejected them: So Allah called them to account: for He is ... | این [کیفر دردناک] برای این بود که پیامبرانشان همواره دلایل روشن برای آنان میآوردند و آنان [از روی تکبر و عناد] کفر میورزیدند، پس خدا هم همه آنان را [به عذابی سخت] گرفت؛ زیرا او توانا و سخت کیفر است؛ | 6 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.1576187163591385,
0.7904644012451172,
0.5591831207275391,
-1.279742956161499,
-0.02257857657968998,
-1.31175696849823,
0.50392746925354,
0.2822055518627167,
-0.02712288871407509,
0.05379839241504669,
0.24465161561965942,
0.6886127591133118,
-0.6067638397216797,
-0.20390373468399048,
0... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
THEM: i need the hats and the ball YOU: i can give you one hat and the ball... | Yes | 0 | NIv2 | task1384_deal_or_no_dialog_classification | fs_opt | [
0.6544389128684998,
0.30979666113853455,
-0.05602592974901199,
0.913772702217102,
0.2763991057872772,
-0.7194089889526367,
-0.032950259745121,
0.30408912897109985,
-0.14844177663326263,
-0.5886425971984863,
-0.26494064927101135,
-0.06859761476516724,
-0.6515648365020752,
-0.337887167930603... |
Given the task definition and input, reply with output. 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 listi... | #1 return large cyan cylinder
#2 return Is there any #1 | 5 | NIv2 | task176_break_decompose_questions | zs_opt | [
0.5861614942550659,
-0.14205288887023926,
-0.8685455322265625,
0.7107632160186768,
0.259848028421402,
-0.35958144068717957,
1.0349223613739014,
0.1634090691804886,
-0.18428942561149597,
0.378482848405838,
-0.7392570972442627,
-0.005304808262735605,
0.15536148846149445,
0.4097365140914917,
... |
Given the task definition and input, reply with output. The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence int... | The Returning Officer of the election, Professor Olajide Lawal, announced this on Saturday at the collation centre in Kogi State. | 5 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.8485973477363586,
0.4929726719856262,
0.24142616987228394,
0.26634201407432556,
0.30281952023506165,
-0.4198600649833679,
0.4685556888580322,
0.3305243253707886,
0.14141792058944702,
-0.5763048529624939,
-0.18792426586151123,
0.4437989294528961,
-0.4918683171272278,
0.24981868267059326,... |
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.
One example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such ... | negative | 6 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
0.21266993880271912,
0.3040868937969208,
-0.0967952162027359,
-0.2535420060157776,
-0.11208655685186386,
-0.6635282039642334,
0.6543786525726318,
0.98797607421875,
0.23217257857322693,
0.6716187000274658,
0.13088572025299072,
0.05977829545736313,
-0.7980350255966187,
-0.14517706632614136,
... |
In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes", "No".
Example Input: Text: Niby spełnia swoją funkcję, bo chroni ekran, ni... | No
| 3 | NIv2 | task635_allegro_reviews_answer_generation | fs_opt | [
-0.9964838027954102,
0.5229742527008057,
-0.3517262041568756,
0.5245922803878784,
0.4407130479812622,
-0.776940107345581,
0.347211092710495,
0.6463316679000854,
-0.116377092897892,
0.2479671835899353,
0.0539269894361496,
0.6690558195114136,
-0.23443204164505005,
0.13979986310005188,
0.25... |
TASK DEFINITION: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
PROBLEM: Así que hizo un canal por aquí y el pecho se mueve hacia arriba y abajo en ese canal.
SOLUTION: لذا قام بوضع قناة هنا والصدر يتحرك الى الاعلى والاسفل في هذه القناة
PROBLEM: Esto sucede cuando se e... | والشباب في المدن الجديدة التي يستحدثونها يتصرفون بطرق جديدة ، في الجنوب.
| 8 | NIv2 | task1228_ted_translation_es_ar | fs_opt | [
-0.23393554985523224,
-0.13107016682624817,
-0.2626654803752899,
-0.608711838722229,
-0.022123703733086586,
1.2494254112243652,
1.2540466785430908,
0.6230936050415039,
-0.4109915792942047,
-0.4941192865371704,
-1.185202956199646,
0.0628197193145752,
-0.6715090274810791,
-0.0281941201537847... |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Input: Consider Input: How is no no um what is the stage 1 in the life of a bill?
Output: What is stage 1 in the life of a bill?
Input: Consider Input: Who or umm rather what exists between f... | Output: When was the IPCC Trust Fund founded?
| 2 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
0.06123549863696098,
0.9323726892471313,
0.15632300078868866,
-0.052079617977142334,
-0.10227750986814499,
-0.020559757947921753,
0.5745435953140259,
0.9467120170593262,
0.7056348323822021,
0.7007331252098083,
0.05919967591762543,
-0.3657491207122803,
-1.197732925415039,
-0.530483007431030... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
i should feel complimented or insulted
Output: | anger | 1 | NIv2 | task512_twitter_emotion_classification | zs_opt | [
-1.4964615106582642,
-0.30094265937805176,
0.5983080863952637,
0.41593167185783386,
-0.0701049417257309,
-0.4585552513599396,
0.3267620801925659,
-0.08856326341629028,
0.4400309920310974,
0.13763555884361267,
-0.5945653319358826,
-0.30678340792655945,
-0.30523553490638733,
-0.1260437667369... |
Given the task definition and input, reply with output. In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Alien Planet starts out with an interstellar spacecraf... | No | 5 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
0.18615227937698364,
0.8614119291305542,
0.03879232332110405,
0.5856102108955383,
-0.43226420879364014,
0.03813936561346054,
0.7705516815185547,
0.10822264105081558,
0.5691283941268921,
0.07453551888465881,
-0.35336458683013916,
0.6284270882606506,
-0.28994590044021606,
0.2031022608280182,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
The first two were found unreliable and ... | जब शिवशंकर से कहा गया कि यह मादाम की इच्छा है तो उन्होंने उस पर मुहर लगा दी क्योंकि उन्हें नहीं मालूम था कि केरल में 10 , जनपथ के आरक्षण जैसी कोई चीज नहीं है । | 0 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
0.2759314775466919,
0.1736173927783966,
0.6060024499893188,
0.4610981345176697,
-0.03496074676513672,
-0.08889421075582504,
-0.13180989027023315,
0.3898082375526428,
-0.23888519406318665,
-0.09720876812934875,
-0.38755279779434204,
-0.5232366323471069,
-0.13482949137687683,
0.2300981283187... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of yo... | [-129, 87, 80, 86, -146, 43, -152, -14, -78]
| 0 | NIv2 | task122_conala_list_index_addition | fs_opt | [
0.13749684393405914,
-0.2356104552745819,
-0.7023190855979919,
-0.25335973501205444,
0.013989295810461044,
-0.40969738364219666,
0.8206232786178589,
0.6455743312835693,
-0.2556070387363434,
0.028604736551642418,
-0.8360035419464111,
0.3030408024787903,
-0.5923770666122437,
0.01172119751572... |
Detailed Instructions: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update pro... | strengthener | 8 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
0.5649105310440063,
0.41561657190322876,
-0.5285939574241638,
0.1016768366098404,
0.19939011335372925,
-1.1646325588226318,
1.5291686058044434,
1.1082977056503296,
0.2235790193080902,
-0.5062034130096436,
-0.9468512535095215,
-0.5784058570861816,
-0.8190959095954895,
-0.38015949726104736,
... |
Definition: Given a concept word, generate a hypernym for it. A hypernym is a superordinate, i.e. a word with a broad meaning constituting a category, that generalizes another word. For example, color is a hypernym of red.
Input: candy
Output: | food | 2 | NIv2 | task1585_root09_hypernym_generation | zs_opt | [
-0.4149355888366699,
0.01974862441420555,
0.27880215644836426,
-0.13874830305576324,
-0.27313387393951416,
-0.5381869673728943,
-0.4228135347366333,
0.5146255493164062,
-0.04834338277578354,
-0.8252894282341003,
-1.021841287612915,
0.037560783326625824,
-0.36464032530784607,
-0.15457418560... |
Given the task definition and input, reply with output. Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Question1: How can I control on my anger?, Question2: How can someone control their anger?
| Yes | 5 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
-0.12311944365501404,
0.7992039918899536,
0.5296346545219421,
0.19267027080059052,
-0.13371983170509338,
-0.8130612969398499,
0.16616353392601013,
0.6985733509063721,
0.2572230398654938,
0.1634586900472641,
-0.5738542079925537,
-0.6937906742095947,
-0.7806302905082703,
-0.35752439498901367... |
You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to find the value... | measurement
| 5 | NIv2 | task834_mathdataset_classification | fs_opt | [
0.26464366912841797,
0.4960869550704956,
-0.12818840146064758,
-0.10078443586826324,
-0.34759217500686646,
-0.5490331649780273,
0.829387903213501,
0.07253966480493546,
0.3334520757198334,
-0.7851938009262085,
-0.9622805118560791,
0.3238409757614136,
-0.5989329814910889,
-0.0166853182017803... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
Example: Hello. How may I aid you today?
Output: agent
This i... | agent | 1 | NIv2 | task575_air_dialogue_classification | fs_opt | [
-0.36499202251434326,
0.4971996545791626,
0.050851643085479736,
0.0196535661816597,
0.1624096930027008,
0.2916383743286133,
0.41525527834892273,
0.18871855735778809,
0.3766140937805176,
0.2908310890197754,
-0.20938640832901,
-0.26577141880989075,
-0.08592219650745392,
-0.4323846101760864,
... |
Definition: You are given a sentence from a conversation between a human and a virtual assistant. Your task is to identify whether the sentence is a question or not. Answer with Yes or No.
Input: What type of food are you in the mood for? How about Italian, Indian, something else?
Output: | Yes | 2 | NIv2 | task879_schema_guided_dstc8_classification | zs_opt | [
-0.6253968477249146,
0.06190448999404907,
0.3666226863861084,
0.5105409026145935,
-0.36419665813446045,
0.3762478828430176,
0.8458536863327026,
0.6462757587432861,
0.5147625207901001,
0.03964968025684357,
0.1773616373538971,
-0.5828956961631775,
-0.25984448194503784,
0.09339568763971329,
... |
This task is to translate the Telugu Language Input to English Language Output
Ex Input:
మీరు ఏ దశలో ఉన్నారు?
Ex Output:
What stage are you at?
Ex Input:
మీరు పది సంవత్సరాలలో ఈ గురించి భావిస్తాను ఎలా థింక్
Ex Output:
Think How You Would Feel About This In Ten Years
Ex Input:
ఫోన్: 86-755-86326350
Ex Output:
| Phone: 86-755-86326350
| 1 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt | [
-0.35777390003204346,
0.045303963124752045,
-0.0066664572805166245,
-0.007855948060750961,
-0.14628560841083527,
-0.9005570411682129,
0.2942603826522827,
0.5209735631942749,
0.2972629964351654,
0.5539072751998901,
0.0528133362531662,
0.6404684782028198,
-0.6097849011421204,
-0.201043188571... |
Given an English sentence, convert it into the french language.
Q: The active site of eosinophil peroxidase contains a single iron atom in tetradentate complexation with a protoporphyrin IX cofactor .
A: | Le site actif de la peroxydase d' éosinophile contient un atome de fer unique formant un complexe tétradentate avec une protoporphyrine IX . | 4 | NIv2 | task644_refresd_translation | zs_opt | [
-0.05342496186494827,
0.7505490779876709,
-0.7061494588851929,
-0.7490177154541016,
0.026374999433755875,
-0.568057656288147,
0.25972670316696167,
0.822906494140625,
0.9143936634063721,
0.4629891514778137,
0.2015826404094696,
-0.44833385944366455,
-0.27966171503067017,
-0.4681727886199951,... |
Detailed Instructions: 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 .
See one example below:
Problem: Statement: ഈസ്റ്റേൺ കാറ്റിൽ ഈഗ്രറ്റ് (B. i. coromandus) -... | ഫാഹിയാന്റേയും | 4 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.5967304706573486,
0.059425029903650284,
-0.6159712076187134,
0.061927761882543564,
0.09314963221549988,
-1.1191496849060059,
0.6361040472984314,
0.9297773838043213,
-0.4436519145965576,
0.17354096472263336,
-0.20620179176330566,
0.37975573539733887,
-0.005592710338532925,
-0.170013174414... |
Instructions: Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Input: name something some men still consider unmanly to do.
Output: | cry | 3 | NIv2 | task820_protoqa_answer_generation | zs_opt | [
-0.40710169076919556,
1.266661524772644,
-0.16895073652267456,
-0.4997072219848633,
-0.14624780416488647,
-0.877281129360199,
0.41966238617897034,
0.5346275568008423,
0.19575972855091095,
0.34707531332969666,
-0.8655461668968201,
0.2606808841228485,
-0.5102107524871826,
-0.5249569416046143... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
Q: ['l', 'w'... | 1, 2, 6, 7, 9, 10, 11, 12, 13, 15, 17, 24 | 4 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
-0.4501601457595825,
0.5720163583755493,
0.2720504701137543,
-0.6925958395004272,
-0.12382839620113373,
0.2618825435638428,
0.3777969479560852,
0.17077931761741638,
-0.8111183047294617,
-0.12102212011814117,
-0.42075711488723755,
0.024740278720855713,
0.026266690343618393,
0.08880015462636... |
Definition: This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a sentence and the ... | Eduskunta | 2 | NIv2 | task1413_dart_object_identification | zs_opt | [
-0.6479008197784424,
0.40399500727653503,
-0.22299939393997192,
-0.05604185163974762,
-0.4144020080566406,
-0.19721710681915283,
1.4162583351135254,
-0.22455407679080963,
0.3303609788417816,
-0.22167298197746277,
-1.0820409059524536,
0.22133773565292358,
-0.40153396129608154,
0.74343842267... |
In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
Ex Input:
The Grass Mountain Chateau () is a former residence of late President of the R... | The Pontiac G6 was a midsize car that was produced by General Motors.
| 1 | NIv2 | task192_hotpotqa_sentence_generation | fs_opt | [
0.10306966304779053,
-0.3928624987602234,
-0.27544867992401123,
-0.17338478565216064,
0.3289334774017334,
-0.911678671836853,
0.44547224044799805,
0.6990257501602173,
0.1451355218887329,
0.15371206402778625,
-0.41887056827545166,
-0.006707745138555765,
-0.5266422033309937,
0.36450839042663... |
Given the task definition and input, reply with output. In this task, you need to Translate Czech text to English.
Na mikronový diamantový prášek se působí leptacími plyny v plazmatu vysokofrekvenčního výboje za sníženého tlaku 50 až 100 Pa, při teplotě 100· až 500 °C. Jako leptacích plynů se používají kyslíky s přípa... | The micron diamond powder is treated with etching gases in the plasma of the high-frequency discharge under reduced pressure of 50 to 100 Pa, at a temperature of 100 to 500 ° C. Oxygen with optional addition of argon and nitrogen, a mixture of carbon dioxide with oxygen or carbon dioxide are used as etching gases. The ... | 5 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
-0.22656655311584473,
0.1966303288936615,
-0.8587120771408081,
-0.2915607988834381,
-0.20268331468105316,
-0.07054192572832108,
-0.18668387830257416,
0.7143015265464783,
-0.08364064991474152,
0.6444846391677856,
-0.3652063310146332,
0.3777921795845032,
-0.28568220138549805,
0.0089005585759... |
You will be given a definition of a task first, then some input of the task.
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.
गांधीजींची एक शिकवण आपण लहानपणापासून ऐकत आलो आहोत. ही शिकवण म्हणजे - वाईट... | જે ભારતમાં ધ્યાન કહેવામાં આવે છે તેને જાપાનમાં ઝેન કહેવાય છે અને જેને ભારતમાં સેવા કહેવાય છે તેને જાપાનમાં પણ સેવા જ કહેવાય છે. | 1 | NIv2 | task984_pib_translation_marathi_gujarati | zs_opt | [
0.24375899136066437,
0.6131709814071655,
0.08420591801404953,
-0.27962160110473633,
-0.003416106104850769,
-1.4452091455459595,
0.3997305631637573,
-0.010663753375411034,
-0.3751990795135498,
-0.01900397054851055,
-1.1830811500549316,
-0.42206239700317383,
-0.46165868639945984,
-0.01042522... |
Q: In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that c... | The Japanese restaurant _____ is located in Riverside. It is a moderately priced, kid friendly establishment, and as a 1 out of 5 rating with customers. | 7 | NIv2 | task1407_dart_question_generation | zs_opt | [
-0.5142435431480408,
0.31088197231292725,
-0.4475732445716858,
-0.5044105052947998,
0.05021434277296066,
-0.5669066309928894,
0.4715709388256073,
0.4443128705024719,
0.2608339786529541,
-0.1847330927848816,
-0.22996559739112854,
0.08560002595186234,
-0.3491207957267761,
0.20138010382652283... |
Given the task definition and input, reply with output. Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Relationship: 'be capital of', Argument/Subject 1: 'udaipur', Argument/Subject 2: 'mewar'
| Udaipur is the historic capital of the former kingdom of Mewar . | 5 | NIv2 | task677_ollie_sentence_answer_generation | zs_opt | [
-0.3655323088169098,
1.0194236040115356,
-0.06299443542957306,
-0.4513976573944092,
-0.3742300271987915,
-0.37821662425994873,
-0.19559764862060547,
0.7590597867965698,
0.2824589014053345,
-0.5258668661117554,
-0.524692714214325,
-0.6842551231384277,
-0.6394628882408142,
0.1392421424388885... |
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.
I absolutely love Nello's but I have never been to this location. I went on a lunch break with a group of peo... | NEGATIVE
| 0 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-0.29233118891716003,
0.02283013053238392,
-0.5516904592514038,
-0.051749106496572495,
0.25816723704338074,
-0.4401746988296509,
1.0578333139419556,
0.8094484806060791,
0.1762697696685791,
-0.0034498213790357113,
0.23164767026901245,
0.03042827919125557,
-0.8061369061470032,
0.303877890110... |
Teacher: You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Teacher: Now, understand the problem? If you are still confused, see the following example:
EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować ponownie w ciągu kilku minut.
Solution: ایلان: درسته... | و اما روز بعد ، ما می توانیم حیوانات آزمایشی خودمان را درون جعبه ی قرمزی که هرگز پیش از این ندیده اند قرار دهیم. | 2 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.603695273399353,
0.6488997936248779,
0.6583101749420166,
-0.09769695997238159,
-0.7972249388694763,
0.3401080071926117,
1.415043592453003,
0.25692981481552124,
-0.3160991966724396,
-0.5691499710083008,
-0.9917683601379395,
1.1011701822280884,
-0.8586500883102417,
0.3496367335319519,
0... |
Part 1. Definition
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 return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given rang... | 20303 | 7 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
0.3017594516277313,
0.11464957892894745,
-0.7163828611373901,
-0.8205438256263733,
0.05919976904988289,
-0.5770649909973145,
0.5795993804931641,
0.40215593576431274,
-0.4072939157485962,
-0.30583882331848145,
-0.922731339931488,
0.41451501846313477,
-0.08183004707098007,
0.0045160958543419... |
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... | CONJ
| 7 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.48363229632377625,
0.4114721417427063,
-0.006746234372258186,
0.11570121347904205,
-0.1542462408542633,
-0.44284072518348694,
0.8288617134094238,
0.7038416862487793,
-0.32011622190475464,
-0.18101559579372406,
-0.5154951810836792,
0.15433531999588013,
-0.794232964515686,
0.52117037773132... |
Instructions: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Input: ... the kind of movie you see because the theater has air conditioning .
Output: | NEG | 3 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-0.6234852075576782,
0.09491231292486191,
0.07083272933959961,
0.21596315503120422,
0.2494729906320572,
-0.7909742593765259,
0.6791638135910034,
0.5601557493209839,
0.24729424715042114,
0.5477976202964783,
-0.25855663418769836,
-1.2207776308059692,
0.1471463143825531,
-0.010616075247526169... |
TASK DEFINITION: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
PROBLEM: DP: This.
SOLUTION: デレク ： こう
PROBLEM: So essentially, we can start from an anonymous face, offline or online, and we can use facial recognition to give a name to that anonymous face thanks to so... | 「昔のミックステープみたいね」名前はニックネームをさらにひねったものでした
| 8 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
-0.00008504430297762156,
-0.07421907782554626,
0.16562552750110626,
-0.7269073128700256,
-0.384341835975647,
0.755164623260498,
1.1653552055358887,
0.620023787021637,
0.5592334866523743,
-0.6455868482589722,
-0.08429805934429169,
-0.14471282064914703,
-0.7457684278488159,
0.260459184646606... |
A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with the list of its ... | 41 | 8 | NIv2 | task090_equation_learner_algebra | fs_opt | [
0.38020628690719604,
0.6328229308128357,
-0.654637336730957,
-0.5160567760467529,
-0.04719796031713486,
-0.42663848400115967,
0.943946361541748,
1.0696690082550049,
-0.14280195534229279,
-0.790678083896637,
-0.5870575904846191,
0.6217989921569824,
-1.1621760129928589,
-0.09732291102409363,... |
Instructions: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pi... | a | 3 | NIv2 | task213_rocstories_correct_ending_classification | zs_opt | [
0.298547625541687,
0.08804413676261902,
0.34627068042755127,
-0.1839546263217926,
-0.15809708833694458,
-0.07773745059967041,
0.522398829460144,
0.7736130952835083,
0.21809276938438416,
0.18261855840682983,
-0.3618958294391632,
0.18940135836601257,
-0.1462513953447342,
-0.31556499004364014... |
Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Q: अगर मेरा एक और लड़का होता, मैं उसे भी फेंक देता ...
A: If I have another boy, I'll throw it ...
****
Q: मैंने कुछ बेचैन लंबी रातें काटी हैं.
A: I've ... | It's better than before.
****
| 4 | NIv2 | task1323_open_subtitles_hi_en_translation | fs_opt | [
-0.3641587495803833,
0.7747021317481995,
0.23139192163944244,
0.1344859004020691,
-0.15684282779693604,
-1.0266635417938232,
0.07253356277942657,
0.542637825012207,
-0.09182222932577133,
-0.3718084692955017,
-0.023709435015916824,
0.8502651453018188,
-0.7798175811767578,
-0.036706782877445... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
O mundo não fez isso pelos vietnamitas nos anos 70?
Output: | El mundo hizo esto por los vietnamitas en la década de 1970. ¿Por qué no ahora? | 1 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.7645499110221863,
1.430189609527588,
-0.14697732031345367,
-0.07233597338199615,
-0.0996900424361229,
-0.5554562211036682,
-0.13930240273475647,
1.174713134765625,
0.709947943687439,
0.3535599112510681,
-0.05719835311174393,
0.18020394444465637,
-0.3113456964492798,
0.039297476410865784... |
Detailed Instructions: In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Problem:アーノルド夫人の要求に関する調査で過失が申し立てられたムーア氏の民事訴訟においてもOn... | The Ontario Lottery and Gaming Corporation is also named in Mr Moore's civil suit for alleged negligence in investigating Ms Arnold's claim. | 8 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.3269028663635254,
0.3379329442977905,
0.5627157688140869,
-0.7957609295845032,
0.14494919776916504,
-0.19314436614513397,
0.5399733781814575,
0.33286595344543457,
-0.1636243313550949,
-0.4811244010925293,
-0.21500268578529358,
-0.1314067244529724,
-0.9501866102218628,
-0.152666330337524... |
Definition: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid u... | The woman raises her hands as she sings. | 2 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | zs_opt | [
-0.4670684337615967,
0.5996657609939575,
-0.41820576786994934,
0.10415394604206085,
0.3189820945262909,
0.5106184482574463,
0.4662524163722992,
0.3184610605239868,
0.4866465926170349,
-0.34305131435394287,
-0.7088648080825806,
-0.3959250748157501,
-0.8945462703704834,
0.2070092409849167,
... |
In this task, you need to provide the correct option for a given problem from the provided options.
Let me give you an example: Problem: jo ' s collection contains us , indian and british stamps . if the ratio of us to indian stamps is 6 to 2 and the ratio of indian to british stamps is 5 to 1 , what is the ratio of u... | a | 8 | NIv2 | task1421_mathqa_other | fs_opt | [
-0.32491016387939453,
0.40049222111701965,
-0.15096202492713928,
-0.12805509567260742,
-0.18714720010757446,
-0.40084394812583923,
0.5180938243865967,
1.1448135375976562,
0.3110622763633728,
0.05542146787047386,
0.06173434853553772,
0.3248569369316101,
-0.4059632420539856,
-0.2081017494201... |
Teacher: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Teacher: Now, un... | not wanting to pay my mother to see my son | 2 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.4544881582260132,
-0.14114084839820862,
-0.08769621700048447,
-0.1522238850593567,
0.7331057190895081,
-0.16556130349636078,
0.25349748134613037,
1.00113844871521,
-0.2326103001832962,
0.43655654788017273,
0.27408096194267273,
0.1828782707452774,
-0.609796941280365,
0.2952007055282593,
... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Example: Così diventa un igloo.
Output: این یک خانه ی اسکیمو می شود.
The Italian sentence is correctly translated into Farsi, because the meaning is... | انقدر شما آدم های باحالی هستید که حتی نمیدونید کانکتوم چیست ، اما حاضرید من رو همراهی کنید. | 1 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
0.08153776824474335,
0.6636651158332825,
-0.4242680072784424,
-0.02414379082620144,
-0.06853393465280533,
-0.673783004283905,
0.6049013137817383,
0.5711756944656372,
-0.027305979281663895,
-0.4631401300430298,
-0.6877893805503845,
1.045828104019165,
-0.3361371159553528,
-0.0016551748849451... |
TASK DEFINITION: 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. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". Th... | Question: Who said Lucy that he has tried for many years?, Answer: Professor Kirke
| 8 | NIv2 | task182_duorc_question_generation | fs_opt | [
1.1627827882766724,
0.12409112602472305,
-0.7249433994293213,
-0.3107306957244873,
0.26094210147857666,
-0.2111961543560028,
0.7250956296920776,
0.8773884773254395,
0.20029900968074799,
0.0789608359336853,
-0.5019359588623047,
0.5067911148071289,
-0.555680513381958,
0.38767528533935547,
... |
Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
Q: @anonymized_account Wszystko przez Stuhra, TVN i Michnika #odjebanie mózgowe @anonymized_account
A: 1
****
Q: @anonymized_account @anonymized_account Nie strasz, nie strasz.... Zaj... | 0
****
| 4 | NIv2 | task838_cdt_classification | fs_opt | [
-0.7252755761146545,
0.47809112071990967,
0.40527844429016113,
0.5178004503250122,
-0.23512612283229828,
-0.48303142189979553,
0.29762375354766846,
-0.10587479174137115,
0.02973516657948494,
0.12361534684896469,
-0.41434335708618164,
-0.48376578092575073,
-0.3127332329750061,
-0.5964990258... |
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as few ... | Output: I was crying because Juno has the perfect boyfriend .
| 2 | NIv2 | task024_cosmosqa_answer_generation | fs_opt | [
0.12081728875637054,
0.7904546856880188,
-0.2565760016441345,
-0.02404390648007393,
0.017641134560108185,
0.38491153717041016,
0.7846066355705261,
0.20873978734016418,
0.11351746320724487,
-0.4609230160713196,
-0.5388294458389282,
0.33698853850364685,
-0.981480598449707,
0.3945107460021972... |
Instructions: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Input: [201, 181, 191, 620, 424, 899]
Output: | [200, 180, 190, 620, 420, 900] | 3 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.5519421100616455,
0.9887239336967468,
0.09720452129840851,
-0.6452629566192627,
-0.8734731674194336,
-0.31430724263191223,
0.7974593639373779,
-0.3452807068824768,
-0.26905375719070435,
0.5593868494033813,
-0.8925068378448486,
0.333761990070343,
-0.35822582244873047,
-0.0481268577277660... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Example input: We notice a man in a kayak and a yellow helmet coming in from the left. As he approaches, his kayak
Example output: flips upside - down
Example explanation: Flipping ... | see the face of the man. | 3 | NIv2 | task453_swag_answer_generation | fs_opt | [
-0.25246715545654297,
0.42370644211769104,
0.027301695197820663,
-0.3086231052875519,
-0.2840544283390045,
-0.4210278391838074,
0.15706554055213928,
0.40572625398635864,
0.1339513063430786,
0.1384831666946411,
0.06893691420555115,
-0.001860406599007547,
-0.7887784838676453,
0.5503135919570... |
instruction:
A text is given in English. Translate it from the English language to the Bengali language. The translation must not omit or add information to the original sentence.
question:
States would also be required to enable low cost debt capital through issuance of corporate bonds for metro projects.
answer:
প্রয... | ২২৮টি ভিডিও ক্যামেরা কোচবিহার (সংরক্ষিত) কেন্দ্রের জন্য এবং ১৪৬টি ভিডিও ক্যামেরা আলিপুরদুয়ার (সংরক্ষিত) আসনের জন্য অর্থাৎ মোট ৩৭৪টি ক্যামেরা থাকবে।
| 9 | NIv2 | task996_pib_translation_english_bengali | fs_opt | [
-0.4694861173629761,
0.32675307989120483,
0.20673444867134094,
-0.0566520094871521,
0.01034490205347538,
0.6814308166503906,
0.09955541789531708,
0.5044437646865845,
-0.7603683471679688,
-0.24542638659477234,
-0.43070462346076965,
-0.28855299949645996,
-0.0334196612238884,
0.23730924725532... |
In this task, you are given two sentences in the English language and your task is to classify them into one of their discourse types. A discourse type is an indicator to classify the given two sentences on the basis of a co-text as well as a relevant context. There are 13 discourse types in total which are 'SINGLE_S_C... | SINGLE_S_COORD_ANAPHORA
| 0 | NIv2 | task564_discofuse_classification | fs_opt | [
0.4283856451511383,
0.06139769405126572,
-0.18110881745815277,
0.027523504570126534,
-0.05698345601558685,
-0.48082253336906433,
0.9201443791389465,
0.9269644021987915,
0.06184156984090805,
-0.23430025577545166,
-0.09959754347801208,
0.32256975769996643,
-0.3146096467971802,
-0.42056536674... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Q: Pero cuando quieres hacer algo nuevo tienes que aplicar la estrategia de la física.
A: | لكن عندما تريد عمل شيءٍ جديد ، لا بد أن تطبِّق مبادئ الفيزياء. | 9 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
0.0026209785137325525,
0.9843682050704956,
-0.1582813858985901,
-1.1569645404815674,
-0.4068070352077484,
0.1434614360332489,
0.5565369129180908,
0.2313738763332367,
0.7965975999832153,
-0.36182183027267456,
-0.34226512908935547,
-0.40968018770217896,
-0.4630948305130005,
0.335654735565185... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
One example: 処方箋を支払う為の保険は ？
Solution is here: Terán seguro para pagar a receita?
Explanation: The Japanese sentence is correctly translated into Galician, because the meaning is preserved.
Now, solve this: 最初のブルーゾーンは、イタ... | Atopamos a nosa primeira Zona Azul a uns 200 km da costa de Italia, na illa de Sardeña. | 6 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.29952728748321533,
0.4258631467819214,
0.07154737412929535,
-0.9353476762771606,
-0.6305779218673706,
-0.6035763025283813,
0.9645148515701294,
0.34521472454071045,
0.21383118629455566,
-0.6708667874336243,
-0.21663975715637207,
0.23545661568641663,
-0.5075730085372925,
0.501046776771545... |
In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given question. A good incorrect answer should be closely related... | No. | 3 | NIv2 | task057_multirc_classify_incorrect_answer | fs_opt | [
0.31704485416412354,
0.1436721533536911,
-0.16768524050712585,
0.4900796413421631,
0.35686129331588745,
-0.7373380064964294,
0.5271602869033813,
0.4585275650024414,
-0.6954326629638672,
-0.18192003667354584,
-0.12771262228488922,
0.08262510597705841,
-0.5515891909599304,
0.0676627010107040... |
In this task, you are given a question. You have to answer the question based on your information.
Example: Roman Yakub won first price in a Choral Composition Competition at a liberal arts college founded by who?
Example solution: William Egbert
Example explanation: This is a good example, and output correctly answers... | Solution: Caesars Entertainment Corporation | 5 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
-0.5249581933021545,
0.21651387214660645,
0.6945690512657166,
-0.6608811616897583,
-0.06210576742887497,
0.13945236802101135,
0.19709549844264984,
-0.4523645341396332,
0.6487538814544678,
0.03982175141572952,
0.1753157675266266,
0.3622034788131714,
-1.0581332445144653,
-0.05401370674371719... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Ex Input:
भारतीय कालगणना के अनुसार समय को चार युगों में बाँटा गया है- सत... | He poured himself out , and ” as the stream does not flow straight on but winds about as it lists , so did my verse .
| 1 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
0.49149805307388306,
0.5899885296821594,
-0.26376768946647644,
0.2109280526638031,
-0.3146384358406067,
-0.42632007598876953,
-0.3757920265197754,
0.68528151512146,
-0.5499668717384338,
0.2030407190322876,
-0.5921618938446045,
-0.4869498014450073,
0.26366257667541504,
-0.2864134907722473,
... |
Teacher: Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Teacher: Now, understand the problem? If you are still confused, see the following example:
able
Solution: unable
Reason: The output is correct as able and unable are opposities of each other in meaning.
Now, s... | still | 2 | NIv2 | task1508_wordnet_antonyms | fs_opt | [
0.5426557064056396,
1.6928889751434326,
1.2612805366516113,
-0.5387009382247925,
-0.3563622832298279,
-1.4926574230194092,
-0.2807697653770447,
0.6147473454475403,
0.10110190510749817,
-0.7116763591766357,
-0.419685423374176,
-0.1419171690940857,
-0.9263579845428467,
-0.1600121408700943,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English lan... | Hindi | 0 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | fs_opt | [
-0.572090208530426,
0.2613174617290497,
0.4107533097267151,
0.39926469326019287,
0.019663091748952866,
0.11577899008989334,
-0.07468482851982117,
0.5068970918655396,
0.11338108777999878,
-0.5992497205734253,
-0.1924210488796234,
-0.31654465198516846,
0.10446523129940033,
0.2117427885532379... |
Detailed Instructions: In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Q: ['U', 7287, 4731, 'I', 8361, 531, 3021, 2093, 'U', 2049, 7291, 'u', 'A', '229', 'W', 'S', '3437', 's', '8137', 'm', '7173', 'K', '5803', '5651', 'E', '5367', 'L', 'I', 1797, 4353, 'm'], ['w', '... | u, A, 229, W, S, 3437, s, 8137, m, 7173, K, 5803, 5651, E, 5367 | 9 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.5207198858261108,
0.752324104309082,
-0.6333322525024414,
-0.4671536684036255,
-0.3317852020263672,
-0.46606969833374023,
-0.6317484974861145,
-0.4257739782333374,
-0.5357706546783447,
0.15120841562747955,
-0.5158872604370117,
0.4283244013786316,
0.6346115469932556,
0.504234790802002,
... |
Given a fact, create a question that can be answered using the fact. Construct the question such that it is unambiguous, has a unique answer and the answer can be given using the fact.
Example: Fact: deep sea animals live deep in the ocean
Example solution: Frilled sharks and angler fish live far beneath the surface of... | Solution: If a person looks at the night sky in February and then again in June, the stars will be? | 5 | NIv2 | task1398_obqa_question_generation | fs_opt | [
-0.024907413870096207,
0.36987143754959106,
-0.8352757692337036,
-0.11169718205928802,
-0.6506437659263611,
-0.5791413187980652,
0.12024267762899399,
-0.015356729738414288,
-0.13573534786701202,
0.0077560460194945335,
-0.5596756935119629,
0.3883393108844757,
-1.4592580795288086,
0.18952742... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
[EX Q]: They're selfish information, they will get copied, if they can.
[EX A]: Są samolubną informacją, zostaną skopiowane, jeśli to będzie możliwe.
[EX Q]: The system suddenly, very surprisingly, loses 30 to 40 percent o... | TED wysyła mówcom masę spamu z "" zrób to, zrób tamto "" i wypełnia się wszystkie te formularze, a w sumie nie wiesz, jak zamierzają cię opisać i mignęło mi, że zamierzają przedstawić mnie jako futurystę.
| 6 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
-1.041452169418335,
1.3795011043548584,
0.2581065893173218,
-0.5335535407066345,
-0.14442411065101624,
-0.937040388584137,
0.693987250328064,
0.07473218441009521,
0.043514788150787354,
-0.4556899964809418,
-0.0566391795873642,
0.5734321475028992,
-0.6756426095962524,
-0.026995748281478882,... |
In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Q: Passage: Korea and the United Nations -- The Republic of Korea (commonly known as South Korea) and the Democratic Peop... | 1
****
| 4 | NIv2 | task1661_super_glue_classification | fs_opt | [
0.5622847080230713,
0.25721269845962524,
-0.46172019839286804,
-0.35876476764678955,
-0.03738818317651749,
-0.15605224668979645,
0.751348614692688,
0.6220123767852783,
0.03300553187727928,
-0.19943290948867798,
-0.6712648868560791,
-0.033774249255657196,
-0.5677129030227661,
0.594983160495... |
Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, ot... | Option 2 | 3 | NIv2 | task065_timetravel_consistent_sentence_classification | zs_opt | [
0.004796314053237438,
0.5944468975067139,
0.467062771320343,
-0.052390918135643005,
0.3715163767337799,
0.16790294647216797,
0.13867336511611938,
1.3259739875793457,
0.058195266872644424,
0.5707852244377136,
-0.3362601399421692,
-0.7111364603042603,
-0.6452972888946533,
-0.4637027084827423... |
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're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the inf... | Answer: 11 | 0 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
-0.015988586470484734,
0.7067168354988098,
-0.7943268418312073,
0.38803958892822266,
0.5412660241127014,
-0.48803284764289856,
0.818103551864624,
0.6567178964614868,
0.07491454482078552,
0.22121360898017883,
-0.43935757875442505,
-0.2075570821762085,
-0.2282010018825531,
0.3850055336952209... |
Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
Example input: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more. \Question: Choose the right answer ... | c | 3 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
-0.4669904112815857,
0.3723779618740082,
-0.706430196762085,
-0.3732110857963562,
-0.4400319457054138,
-0.011799965053796768,
0.3542907238006592,
0.7032917737960815,
0.06185918301343918,
0.2577744722366333,
0.2981286644935608,
0.1170773059129715,
-1.1577653884887695,
0.19805265963077545,
... |
Detailed Instructions: Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Q:... | I love to drive my prius around town. It is my favorite color... red. you? | 9 | NIv2 | task1729_personachat_generate_next | zs_opt | [
-0.7595744132995605,
-0.20996418595314026,
-0.18539202213287354,
-0.3538077473640442,
-0.6510297060012817,
0.5037355422973633,
0.30719485878944397,
-0.10639353841543198,
0.4609721302986145,
0.004360387101769447,
-0.17920684814453125,
-0.7170740365982056,
0.4469451904296875,
0.2155045717954... |
A text is given in Marathi. Translate it from the Marathi language to the Panjabi language. The translation must not omit or add information to the original sentence.
Q: संयुक्त राष्ट्रांच्या सुरक्षा परिषदेने मान्यता दिलेल्या संयुक्त सर्वसमावेशक कृती योजनेच्या पूर्ण आणि प्रभावी अंमलबजावणीसाठी भारताने पाठिंबा जाहीर केला... | ਭਾਰਤੀ ਧਿਰ ਨੇ ਦੁਹਰਾਇਆ ਕਿ ਉਹ ਸਾਂਝੇ ਵਿਸਤ੍ਰਿਤ ਪਲੈਨ ਆਵ੍ ਐੱਕਸ਼ਨ (ਜੇਸੀਪੀਓਏ) ਦੀ ਹਮਾਇਤ ਕਰਦਾ ਹੈ , ਜਿਸ ਦੀ ਤਾਈਦ ਸੰਯੁਕਤ ਰਾਸ਼ਟਰ ਸੁਰੱਖਿਆ ਪਰਿਸ਼ਦ ਵੱਲੋਂ ਕੀਤੀ ਗਈ ਹੈ ਅਤੇ ਜੋ ਗ਼ੈਰ ਪ੍ਰਫੁਲੀਕਰਣ ਢਾਂਚੇ, ਅੰਤਰਰਾਸ਼ਟਰੀ ਸ਼ਾਂਤੀ , ਸਥਿਰਤਾ, ਅਤੇ ਸੁਰੱਖਿਆ ਲਈ ਅਹਿਮ ਹੈ । | 4 | NIv2 | task1029_pib_translation_marathi_punjabi | zs_opt | [
0.923924446105957,
1.3754435777664185,
-0.04540581628680229,
-0.1340423822402954,
-0.013587595894932747,
-1.159740924835205,
0.091802217066288,
0.36564093828201294,
-0.5480403304100037,
-0.06263795495033264,
-0.8702161312103271,
-0.015278949402272701,
-0.12750709056854248,
0.01129568181931... |
Given the task definition and input, reply with output. 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.
ok get it i made it an option ok
| other | 5 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-0.8019456267356873,
0.5401515364646912,
0.577019453048706,
-0.5310779809951782,
-0.2159505933523178,
-0.2924048900604248,
0.6792584657669067,
0.2074483036994934,
0.7134484052658081,
0.06787995994091034,
-0.3373590111732483,
-0.5902418494224548,
-0.007728750817477703,
0.20018549263477325,
... |
Instructions: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in t... | q, d, O, k, f, L, f, x, g, v, V, U, i, F, i, 7613, 9861, 1195, 695, 1797, 5093, 6619, 5121, 9135, 429, 3123 | 3 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
-0.4689798355102539,
0.8166192770004272,
-0.2287129908800125,
-1.2672500610351562,
0.11624172329902649,
-0.10714088380336761,
0.7785124182701111,
0.09737654775381088,
-0.45773643255233765,
0.5693650245666504,
-0.6551374197006226,
0.22599828243255615,
0.06362541019916534,
0.1073205769062042... |
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
[Q]: Verify if the sentiment of the following document towards the entity Larry Ellison is Neutral . These A... | no
| 5 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
0.015326590277254581,
-0.04517265409231186,
-0.21669387817382812,
0.42054620385169983,
0.5337091684341431,
-0.3987880349159241,
0.7499619126319885,
0.7371640205383301,
-0.06312181055545807,
0.27302080392837524,
0.0998661145567894,
0.2937915325164795,
-0.2894436717033386,
-0.083443015813827... |
Detailed Instructions: Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, ... | production company | 8 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
0.022424960508942604,
-0.01968129351735115,
-0.32598432898521423,
0.31587377190589905,
0.22168058156967163,
0.30981922149658203,
0.03488093242049217,
0.580712080001831,
-0.3475037217140198,
0.4562996029853821,
0.118948794901371,
-0.4207157492637634,
-0.5484150648117065,
-0.7199083566665649... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Input: É simplemente a súa forma a que a fai funcionar.
Output: | Funciona gracias a su forma. | 2 | NIv2 | task1240_ted_translation_gl_es | zs_opt | [
-0.727247953414917,
0.9874290227890015,
-0.40089112520217896,
-0.4227074980735779,
0.13834631443023682,
-0.8264049291610718,
0.04467899724841118,
0.9018436670303345,
0.10427830368280411,
-0.11544379591941833,
-0.751190185546875,
0.06550585478544235,
-0.18213842809200287,
0.2404886782169342... |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
One example is below.
Q: English sentence: How is this possible
A: Olee kwere omume?
Rationale: The Igbo translation means the same as the original sentence in the English language.
Q: Engli... | Izere ọnwụnwa ị ga na-enwe n'izu ọzọ amalite a izu. | 9 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
-0.018161479383707047,
1.1307631731033325,
0.6207137107849121,
-0.29059258103370667,
-0.14826765656471252,
-1.3514301776885986,
0.5947356820106506,
0.45643869042396545,
-0.08171890676021576,
-0.5238103866577148,
-0.30532872676849365,
0.04483291134238243,
-1.0569603443145752,
0.163132250308... |
Definition: The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when trans... | Nemam pojma kako to radi, ali puno me je koštao. | 2 | NIv2 | task1365_opustedtalks_translation | zs_opt | [
-0.2282867133617401,
0.6981940269470215,
-0.34730610251426697,
0.3128126263618469,
0.04506939277052879,
-0.6517106294631958,
0.4719875454902649,
0.03807004541158676,
0.19393500685691833,
-0.3722311854362488,
0.23862355947494507,
0.1348714828491211,
-0.6007809638977051,
0.06709933280944824,... |
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Ex Input:
Context: Lightnin' is a 1925 American comedy film directed by John Ford. It was based on a successful pla... | 5
| 1 | NIv2 | task633_dbpedia_14_answer_generation | fs_opt | [
-0.15743203461170197,
0.09940735995769501,
-0.5070947408676147,
0.530554473400116,
-0.3640720546245575,
0.08324787765741348,
0.4342319667339325,
0.6588287353515625,
-0.18505260348320007,
0.07025192677974701,
-0.33812567591667175,
0.41484156250953674,
-0.6107562780380249,
-0.177551209926605... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
וטיפול בפני עצמו מפתח סבלנות — הרבה סבלנות — ואמפתיה, יצירתיות, חוסן, גמישות.
| Opieka nad innymi rozwija cierpliwość, dużo cierpliwości, empatię, kreatywność, odporność, zdolność przystosowania. | 5 | NIv2 | task1112_ted_translation_he_pl | zs_opt | [
-0.7132686972618103,
1.08872652053833,
0.24219097197055817,
0.12916825711727142,
-0.1068059578537941,
-0.7618448734283447,
1.1539278030395508,
-0.801619291305542,
0.7696332931518555,
-0.4434649348258972,
-0.617316484451294,
1.161733627319336,
-0.7916190028190613,
0.22260689735412598,
0.1... |
Definition: In this task, you are given one english sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into German.
Input: Pandemic (H1N1) 2009 – WHO declares Post Pandemic Phase
Outpu... | (H1N1)-Pandemie 2009 – WHO ruft Post-Pandemie-Phase aus | 2 | NIv2 | task1396_europa_ecdc_tm_en_de_translation | zs_opt | [
-0.03762730956077576,
0.9714892506599426,
0.3100755214691162,
-0.3144015669822693,
0.178495854139328,
-0.31835973262786865,
0.12315047532320023,
0.5739134550094604,
0.39184731245040894,
-0.2492448091506958,
-0.291032075881958,
0.00026528636226430535,
-0.6785876750946045,
-0.254155099391937... |
An answer is given. Generate a question for which the given answer is either a direct or partial answer.
--------
Question: Answer: barry williams (actor)
Answer: who played the kids on the brady bunch?
Question: Answer: leah remini
Answer: who plays carrie in the king of queens?
Question: Answer: barack obama
A... | who was elected as the fist african american president?
| 7 | NIv2 | task443_com_qa_ans_question_generation | fs_opt | [
-0.07970137894153595,
1.1704821586608887,
-0.16690978407859802,
-0.6137690544128418,
-0.22403408586978912,
-0.5522418022155762,
1.5176136493682861,
0.4891190528869629,
0.40798071026802063,
0.29774975776672363,
0.0013019421603530645,
0.3243746757507324,
-0.6687827706336975,
-0.0517078563570... |
You will be given a definition of a task first, then some input of the task.
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.
Sentence1: I decided to make burgers. Sentence2: I made the patties and put them on a pla... | I (myself), Dog | 1 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
-0.15273326635360718,
0.1377541422843933,
-0.3362581133842468,
0.6474388837814331,
0.06524844467639923,
-0.16779179871082306,
0.39299678802490234,
0.8796752691268921,
0.18901924788951874,
-0.3779926300048828,
-0.3160943388938904,
-0.5263700485229492,
-0.03114570491015911,
0.043685838580131... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | No
| 6 | NIv2 | task358_casino_classification_negotiation_uv_part | fs_opt | [
0.4104667007923126,
0.25110697746276855,
-0.5804564952850342,
-0.06438674032688141,
-0.2385367602109909,
-1.0950262546539307,
0.9088321924209595,
0.8850070834159851,
-0.9594311714172363,
0.1699179708957672,
0.645670473575592,
0.18065068125724792,
-0.7705562114715576,
0.22959837317466736,
... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Q: Category: "BEL"LISSIMO!
Clue: Eric Clapton had these title "Blues" in 1973
A: "bell bott... | a ventriloquist
****
| 4 | NIv2 | task305_jeopardy_answer_generation_normal | fs_opt | [
-0.8314509391784668,
0.723274827003479,
-0.20673565566539764,
-0.27786827087402344,
-0.237402081489563,
0.1297430694103241,
0.796528160572052,
-0.019562220200896263,
-0.37351489067077637,
0.07721614837646484,
-0.28501781821250916,
0.7115087509155273,
-0.8404319286346436,
0.0075802034698426... |
You will be given a definition of a task first, then some input of the task.
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 sentenc... | I passed a bar that served wine. | 1 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-0.9422854781150818,
0.4822005033493042,
-0.0194685198366642,
0.08735737949609756,
0.22202768921852112,
-0.30798858404159546,
-0.1726018488407135,
0.19219939410686493,
0.652028501033783,
-0.09806398302316666,
-0.10754566639661789,
-0.31207817792892456,
-0.638723611831665,
0.364699453115463... |
In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Sentence 1: I bought a new external hard drive. Sentence 2: It was large and green. Sentence 3: I w... | a | 0 | NIv2 | task220_rocstories_title_classification | zs_opt | [
0.13771861791610718,
0.11305544525384903,
0.5050657987594604,
0.013873662799596786,
-0.28830793499946594,
0.07638697326183319,
0.057073235511779785,
0.9001125693321228,
0.1619148552417755,
-0.014023292809724808,
-0.7074699401855469,
-0.8981838822364807,
0.0635698139667511,
-0.2535628080368... |
Teacher: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 ... | I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_... | 6 | NIv2 | task130_scan_structured_text_generation_command_action_long | zs_opt | [
0.18094897270202637,
0.7652928829193115,
-0.27010732889175415,
-0.06589105725288391,
-0.02657046914100647,
-0.04219894856214523,
0.18123184144496918,
0.10030810534954071,
-0.2087317556142807,
-0.14625178277492523,
-0.6277768015861511,
-0.39539873600006104,
-0.5645389556884766,
-0.324707567... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a positive review and your task is to convert it to a negative review by making minimal changes. Avoid changing the context of the review.
all around great place to grab ... | the wine list was poor and overpriced | 0 | NIv2 | task928_yelp_positive_to_negative_style_transfer | fs_opt | [
-1.0222289562225342,
0.8204588890075684,
-0.08435461670160294,
0.012030652724206448,
0.06989027559757233,
0.17234012484550476,
0.20674069225788116,
0.684668242931366,
0.6471244096755981,
0.042528919875621796,
-0.291603684425354,
-0.5315389633178711,
-0.14079634845256805,
0.3086917400360107... |
instruction:
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
question:
This is a large bathroom with a ... | Gujarati
| 9 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | fs_opt | [
-1.0172057151794434,
0.36258774995803833,
0.3174634873867035,
-0.47430819272994995,
-0.022826096042990685,
0.09398116916418076,
-0.14466653764247894,
-0.1280127763748169,
0.17986175417900085,
-0.2939411997795105,
-0.2434861958026886,
0.26011180877685547,
-0.1378345638513565,
-0.00698093185... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
One example: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Solution is here: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Explanation: The English sentence is correctly translated in... | （ 笑 ） どうですか ？ 私ならこうしましょうかね | 6 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.8429806232452393,
0.39277857542037964,
0.12467440217733383,
-0.3622177839279175,
-0.24979636073112488,
-0.9378499984741211,
0.9319189786911011,
-0.5724623799324036,
0.28222164511680603,
-0.5032579898834229,
-0.450149267911911,
-0.09053624421358109,
-0.6429779529571533,
0.3610433340072632... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
[Q]: その人が特定のことを遂行する能力があってその人が特定のことを遂行する能力があって頼りになって正直なら信頼に足るわけですから十分信頼していいでしょう
[A]: E se nós achamos que uma pessoa é competente nos assuntos relevantes, e responsável e honesta, nós teremos um ótimo motivo para confia... | Não, pelo contrário, elas mudaram, ao ponto de agora termos 70% a favor da manutenção dos custos o que significa que, vou repetir: 70% da população em Estocolmo quer manter um preço para algo que costumava ser gratuito.
| 5 | NIv2 | task1099_ted_translation_ja_pt | fs_opt | [
-0.32502666115760803,
0.71843421459198,
0.11169666051864624,
-0.6435001492500305,
-0.15510055422782898,
-0.8950561285018921,
0.6973076462745667,
-0.11282846331596375,
0.28243088722229004,
-0.45458710193634033,
-0.2718809247016907,
0.9397198557853699,
-0.9164450168609619,
0.9629042744636536... |
In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
Let me give you an example: Sentence 1: Marcus needed clothing for... | Too much pizza | 8 | NIv2 | task219_rocstories_title_answer_generation | fs_opt | [
-0.11746605485677719,
0.5694668292999268,
0.2524600923061371,
-0.14709734916687012,
0.32484757900238037,
-0.11971309781074524,
0.020635999739170074,
0.4723433256149292,
0.12214718014001846,
0.552727460861206,
-0.733422040939331,
-0.23939290642738342,
-0.6481420993804932,
0.2900948822498321... |
Detailed Instructions: In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Q: Coo... | user | 9 | NIv2 | task577_curiosity_dialogs_classification | zs_opt | [
-0.498563289642334,
0.4915120005607605,
-0.048039138317108154,
-0.6435862183570862,
-0.763817548751831,
-0.25061556696891785,
1.0294690132141113,
-0.7528128623962402,
0.8335789442062378,
-0.3385840952396393,
-0.2695440351963043,
-0.5541372299194336,
-0.011237315833568573,
0.233736842870712... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.