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 |
|---|---|---|---|---|---|---|
Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wrong) and NOBODY ... | OTHER
| 0 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | fs_opt | [
0.5761186480522156,
-0.006407239008694887,
-0.6281973123550415,
-0.24204584956169128,
0.20071923732757568,
-0.1640750616788864,
1.1468970775604248,
0.7211035490036011,
0.15331518650054932,
-0.16537785530090332,
0.23618067800998688,
1.1196317672729492,
-0.6833348274230957,
-0.13026523590087... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the top... | non-political | 9 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | fs_opt | [
-0.6909794211387634,
-0.2975655794143677,
0.25122588872909546,
0.8158137798309326,
-0.06480011343955994,
-0.6101813316345215,
-0.1860862374305725,
0.2762871980667114,
-0.2909754812717438,
0.03662329912185669,
-0.25954627990722656,
0.14965523779392242,
-0.08225284516811371,
-0.4616331756114... |
A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence.
[Q]: काळ्या पैशाच्या विरोधात आमचा संघर्ष सुरूच राहील.
[A]: കള്ളപ്പണത്തിനെതിരെയുള്ള നമ്മുടെ പോരാട്ടം തുടരും;
[Q]: विज्ञानाच्या, आयुष्याच्या मूलभूत ... | അസംഗില് ജൂലൈ 14 ന്, പ്രധാനമന്ത്രി 340 കിലോമീറ്റര് ദൈര്ഘ്യം വരുന്ന പൂര്വ്വാഞ്ചല് എക്സ്പ്രസ്സ് വേയ്ക്ക് തറക്കല്ലിടും.
| 5 | NIv2 | task1072_pib_translation_marathi_malayalam | fs_opt | [
-0.5857623815536499,
0.5590964555740356,
0.09998057037591934,
-0.5053302049636841,
-0.6548478603363037,
-0.6577768325805664,
0.2825663089752197,
0.4779428541660309,
-0.08181639015674591,
-0.2608188986778259,
-0.8948377370834351,
0.39567679166793823,
-0.005587327294051647,
-0.26218736171722... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | Output: Entity
| 2 | NIv2 | task1289_trec_classification | fs_opt | [
-0.052992191165685654,
-0.2056151181459427,
-0.2411785125732422,
-0.2682575285434723,
-0.24754604697227478,
-0.6171949505805969,
0.4491647183895111,
-0.13938863575458527,
0.3191069960594177,
-0.10501624643802643,
-0.7288212180137634,
-0.12362964451313019,
-0.5123152136802673,
-0.0082673234... |
Definition: Translation from English to Telugu.
Input: "Run"?
Output: | "రన్"? | 2 | NIv2 | task1330_open_subtitles_en_te_translation | zs_opt | [
0.3002726435661316,
1.3471894264221191,
-0.18427173793315887,
0.8584508895874023,
-0.6613903045654297,
0.2937805652618408,
-0.9616256356239319,
0.4234941899776459,
0.5492863655090332,
-0.3573524057865143,
-1.0442614555358887,
0.6096755266189575,
-0.6655052900314331,
0.2994198203086853,
-... |
Detailed Instructions: 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.
See one example below:
Problem: Bob took the woman from work a cake
S... | Juan shouted the directions to the woman | 4 | NIv2 | task132_dais_text_modification | fs_opt | [
-0.2777175307273865,
0.8315107226371765,
0.05343159660696983,
-0.34401148557662964,
0.17602026462554932,
-0.604864239692688,
-0.024513211101293564,
0.12603625655174255,
0.16199320554733276,
-0.5153259038925171,
-0.664358377456665,
-0.2521424889564514,
-0.10700899362564087,
-0.0247862190008... |
Given the task definition, example input & output, solve the new input case.
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 ... | SINGLE_S_COORD_ANAPHORA | 1 | NIv2 | task564_discofuse_classification | fs_opt | [
0.14820130169391632,
0.2756255865097046,
0.07510758191347122,
0.12954044342041016,
-0.21412000060081482,
-0.5789741277694702,
0.3926892876625061,
0.6873166561126709,
-0.3968309760093689,
-0.12406620383262634,
-0.3089578449726105,
0.17399658262729645,
-0.44786518812179565,
-0.20652949810028... |
Definition: In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Input: Sentence1: Eli got a new motorcycle last summer. Sentence2: He took it out for a ride one... | The two of them rode together for hours. | 2 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.02074326202273369,
0.9000729918479919,
-0.05716563016176224,
-0.46634441614151,
-0.4714430570602417,
-0.41783857345581055,
0.169364333152771,
0.2911531329154968,
0.3921964764595032,
-0.20339444279670715,
-0.9671197533607483,
0.39891985058784485,
-0.07142507284879684,
0.1975199431180954,... |
Q: Given a passage, write a short incorrect summary based on the passage.
share prices on the london stock exchange closed lower on monday , suffering on fears over banks ' exposure to bad u.s. home loans and the termination of sainsbury 's bid .
A: | major news items in leading indian UNK | 7 | NIv2 | task1579_gigaword_incorrect_summarization | zs_opt | [
-0.215373232960701,
1.0200424194335938,
-0.04045064002275467,
-0.5998616218566895,
0.2278755009174347,
-0.1901404857635498,
-0.3822091221809387,
0.4210575819015503,
-0.19989684224128723,
0.22711816430091858,
0.06048305705189705,
0.9424355030059814,
-0.3604206442832947,
-0.12873344123363495... |
Teacher: This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "... | 24. | 2 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.44228094816207886,
0.5906829833984375,
-0.2343820035457611,
-0.46200066804885864,
0.21641629934310913,
-0.8872242569923401,
1.0309797525405884,
0.5729971528053284,
0.26921766996383667,
-0.1930360198020935,
-0.5397927165031433,
0.38349491357803345,
-0.7773044109344482,
-0.1815823316574096... |
Instructions: 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 answe... | At the hospital. | 3 | NIv2 | task024_cosmosqa_answer_generation | zs_opt | [
-0.004176008980721235,
0.37159043550491333,
-0.54194176197052,
0.0023804756347090006,
-0.16098323464393616,
-0.1884419471025467,
0.19292967021465302,
0.2427597939968109,
0.7047871351242065,
-0.3822117745876312,
-0.5801234245300293,
0.09407943487167358,
-0.1130971759557724,
-0.1426344513893... |
Teacher: Given a part of privacy policy text, identify the purpose for which the user information is collected/used. The purpose should be given inside the policy text, answer as 'Not Specified' otherwise
Teacher: Now, understand the problem? If you are still confused, see the following example:
The site collects your ... | Unspecified | 2 | NIv2 | task683_online_privacy_policy_text_purpose_answer_generation | fs_opt | [
-0.7992408871650696,
-0.3356415033340454,
-0.5068443417549133,
0.06417051702737808,
-0.45025789737701416,
-0.6935713291168213,
-0.09820766746997833,
0.027983106672763824,
-0.35197871923446655,
0.9913958311080933,
0.44499456882476807,
-0.1254570037126541,
-0.3833956718444824,
-0.97693693637... |
Instructions: Given a paragraph about cooking, and a set of conversational question answers about the paragraph, generate a relevant question to the topic of the paragraph. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`.
Input: CONTEXT: I would t... | Why would it happen with soy milk as well? | 3 | NIv2 | task1437_doqa_cooking_question_generation | zs_opt | [
-0.1807708740234375,
0.5760366320610046,
0.0761917233467102,
-0.7919700145721436,
0.17851927876472473,
-0.07922278344631195,
-0.29155564308166504,
0.4915085732936859,
0.10051722824573517,
0.18915000557899475,
0.2705792188644409,
-0.3421379327774048,
-1.1392313241958618,
0.03731608018279075... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a l... | [-12.0, -5.5] | 0 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.0017636558040976524,
0.6651242971420288,
-0.47816380858421326,
-0.05957367271184921,
0.45378434658050537,
0.36283573508262634,
0.83674556016922,
0.9339402914047241,
0.2094331979751587,
-0.2363901138305664,
-0.45433464646339417,
-0.3682621121406555,
0.051287468522787094,
0.58637487888336... |
Part 1. Definition
You are given a statement written in Marathi. 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 .
Part 2. Example
Statement: उत्तराखंड व झारखंड राज्यांमध्ये मुलांच्या आयांना या योजनेत समाविष्ट ... | चेन्नई | 7 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
0.5433573126792908,
0.22989648580551147,
-0.02080768346786499,
-0.23703424632549286,
-0.5938156247138977,
-0.7525845766067505,
0.2699194848537445,
0.6875507831573486,
-0.02485741302371025,
-0.4686973989009857,
-0.1778784990310669,
0.28531232476234436,
-0.42363524436950684,
-0.3172908425331... |
Translate from English to Hindi.
Ex Input:
His wife will come from the village opposite.
Ex Output:
पड़ोसी गांव की एक औरत है.
Ex Input:
Be good.
Ex Output:
अच्छी रहो.
Ex Input:
Ever bother you?
Ex Output:
| कभी परेशान होते हो?
| 1 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
0.19942407310009003,
0.6628972291946411,
-0.7623087763786316,
0.33975476026535034,
-0.02618444338440895,
-1.1047453880310059,
-0.1281869113445282,
0.4413508176803589,
0.35982364416122437,
0.10877066850662231,
-1.5073630809783936,
0.8447552919387817,
-0.413813978433609,
-0.2605593204498291,... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
One example is below.
Q: Igbo sentence: Olee kwere omume?
A: How is this possible
Rationale: The English translation means the same as the original sentence in the Igbo language.
Q: Igbo sen... | Half of the territory – a forest, and two-thirds – reserves. | 9 | NIv2 | task449_opus_paracrawl_ig_en_translation | fs_opt | [
0.15084202587604523,
0.555699348449707,
0.17519338428974152,
0.02491213008761406,
-0.11759748309850693,
-1.1601057052612305,
0.8798127174377441,
0.6855654716491699,
-0.37561869621276855,
-1.0084775686264038,
-0.38755103945732117,
0.33662500977516174,
-0.4592774510383606,
0.0290156938135623... |
TASK DEFINITION: Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
PROBLEM: Japanese: 「獣医がそれら全部をチェックして、昨日、日が暮れる前にそれらにいくつかの抗生物質を与えた」と彼はオーストラリアの国営放送局に話した。
... | No
| 8 | NIv2 | task1120_alt_ja_fil_answer_generation | fs_opt | [
-0.3166598081588745,
-1.195394515991211,
-0.1618320643901825,
0.09268718957901001,
0.5517319440841675,
-0.4489601254463196,
0.7240269184112549,
1.008337378501892,
-0.575433611869812,
0.02187114953994751,
-0.6619189381599426,
0.6593897938728333,
-0.7815688848495483,
0.9622756838798523,
0.... |
Q: In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or fo... | user | 7 | NIv2 | task1599_smcalflow_classification | zs_opt | [
-0.4845012426376343,
0.7847396731376648,
-0.16633349657058716,
-0.43324947357177734,
-0.3436886966228485,
0.04431803524494171,
0.27336758375167847,
0.14110210537910461,
0.49726542830467224,
-0.0965120941400528,
-0.11673874408006668,
0.2647589147090912,
-0.4218186140060425,
0.38164889812469... |
instruction:
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.
question:
Poster: On MLK weekend, where service and civil... | Negative
| 9 | NIv2 | task823_peixian-rtgender_sentiment_analysis | fs_opt | [
-1.0130361318588257,
0.442402184009552,
0.2100962996482849,
-0.37961530685424805,
0.013894300907850266,
-1.1625242233276367,
0.568368673324585,
0.483951210975647,
0.5844849348068237,
0.2276325225830078,
0.05616411566734314,
0.43026450276374817,
0.08389522135257721,
-0.2949414551258087,
-... |
Q: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
اى کسانى که ایمان آوردهاید، اموال همدیگر را به ناروا مخورید -مگر آنکه داد و ستدى با تراضى یکدیگر، از شما [انجام گرفته] باشد- و خودتان را مکشید، زیرا خدا همواره با شما مهربان است.
A: | O believers, you should not usurp unjustly the wealth of each other, but trade by mutual consent; and do not destroy yourselves. God is merciful to you. | 7 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
0.10924217104911804,
0.9646297693252563,
-0.2201283723115921,
-0.9289023876190186,
-1.0790574550628662,
-0.010287861339747906,
0.7549238204956055,
0.46695199608802795,
0.17028671503067017,
-0.03786823898553848,
0.06873443722724915,
0.949769139289856,
-0.6888909339904785,
-0.039514686912298... |
Detailed Instructions: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Problem:Who sings don't get hooked on me?
Solution: | Who sang the original version of Don't get Hooked on me? | 8 | NIv2 | task670_ambigqa_question_generation | zs_opt | [
0.05056377500295639,
1.2671051025390625,
-0.4378221035003662,
-0.7458757758140564,
-0.6143043041229248,
-0.41374245285987854,
0.7089753150939941,
0.2071930468082428,
-0.1415703296661377,
0.06411851942539215,
-0.5694824457168579,
-0.7554316520690918,
-0.8063182234764099,
-0.5399250984191895... |
Detailed Instructions: 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 buildin... | I_LOOK I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT | 8 | NIv2 | task128_scan_structured_text_generation_command_action_short | zs_opt | [
0.08162081241607666,
0.792671799659729,
-0.3103368580341339,
0.13404977321624756,
0.06072697788476944,
-0.1851184070110321,
0.16414302587509155,
0.1548372507095337,
-0.14269505441188812,
-0.15277111530303955,
-0.6807161569595337,
-0.2846689522266388,
-0.6254760026931763,
-0.172515794634819... |
Q: In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male.
Sentence: The cook asked t... | Female | 7 | NIv2 | task341_winomt_classification_gender_anti | zs_opt | [
-1.6699734926223755,
1.026085615158081,
-0.3599863350391388,
-0.7434405088424683,
-0.02633359655737877,
0.07183226943016052,
0.33692318201065063,
0.5635780096054077,
0.6740833520889282,
0.1598297506570816,
-0.9159770011901855,
-0.0852208212018013,
-0.9120069742202759,
0.057990722358226776,... |
Definition: 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.
... | 2, 10 | 2 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
0.08422911912202835,
0.6327215433120728,
-0.4101845324039459,
-0.5847806930541992,
0.33178848028182983,
-0.185658261179924,
1.003432273864746,
-0.050064098089933395,
0.1891477257013321,
0.12955886125564575,
-0.6127681732177734,
0.0618412084877491,
0.30441343784332275,
-0.2223610281944275,
... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
We encourage them to bring children.
A: | 子供も連れてくるよう喚起しています | 7 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-0.4322711229324341,
0.35340845584869385,
0.2916954457759857,
-0.13284610211849213,
-0.2093815952539444,
-1.1483206748962402,
0.7572888731956482,
0.10954981297254562,
0.6933561563491821,
-0.1902790367603302,
-0.020114650949835777,
0.29268836975097656,
-0.6090455651283264,
0.456380546092987... |
Instructions: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question... | Change a diaper | 3 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.029582429677248,
0.614524245262146,
-0.24873700737953186,
0.5869575142860413,
-0.5647171139717102,
0.3954237401485443,
0.90521240234375,
0.7295709252357483,
0.25344496965408325,
-0.5782208442687988,
-0.35239022970199585,
-0.6564362049102783,
-0.2536892294883728,
-0.005043730139732361,
... |
Definition: 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.
... | 1, 4 | 2 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
0.15524721145629883,
0.5733258724212646,
-0.5143285989761353,
-0.4635351598262787,
0.3559640049934387,
-0.08390039205551147,
1.2139819860458374,
0.27096015214920044,
0.05630626901984215,
0.1816382259130478,
-0.7064267992973328,
0.11328244209289551,
0.09692426025867462,
-0.37988775968551636... |
Instructions: In this task, you need to Translate Czech text to English.
Input: Katalyzátor Lumbrin pro urychlení degradace látek s benzenovýmjádrem za pomoci aerobních bakterií a za přítomnosti kyslíku a živin (N a P). Katalyzátor se získá výluhem ze substrátu, ve kterém probíhal životní proces živočichů čeledi má... | Catalyst Lumbrin to accelerate degradation of compounds with benzene core with aerobic bacteria and in the presence oxygen and nutrients (N and P). The catalyst is recovered by leaching from the substrate in which the life process of the family's animals took place Lumbricidae, their faeces, body fluids or their b... | 3 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
-0.6604840755462646,
0.2088865041732788,
-0.5741453170776367,
-0.10708756744861603,
0.0005532032810151577,
-0.2967662215232849,
-0.22418314218521118,
0.5025927424430847,
-0.4790714979171753,
0.30879855155944824,
-0.5387321710586548,
0.40118908882141113,
-0.8612350821495056,
0.0124821905046... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Example input: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Example output: E eu continuo a pensar que o transporte é o centro deste universo.
Example explanation: The Farsi sentence is correctly translated into Po... | É sobre isso que eu quero falar convosco hoje — de como a prática e o ensino deste tipo de cirurgia nos levou à procura de um tradutor universal melhor. | 3 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
-0.3543890118598938,
0.8530101776123047,
0.10915140062570572,
0.2769896686077118,
-0.7656456232070923,
-0.01965206488966942,
0.2568139135837555,
0.7080563306808472,
-0.040677644312381744,
0.04917765408754349,
-0.7455700635910034,
0.358134388923645,
0.031226331368088722,
0.642406702041626,
... |
You are given a statement written in Telugu. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
[EX Q]: Statement: గ్రామంలో ఒక ప్రైవేటు బాలబడి ఉంది. ప్రభుత్వ ప్రాథమిక పాఠశాలలు ఆరు, ప్రభుత్వ ప్రాథమికోన్నత పాఠశాల... | పామూరు
| 6 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | fs_opt | [
0.5843011140823364,
0.7727310657501221,
-0.003740798681974411,
-0.01610523834824562,
0.35077548027038574,
-0.9941366910934448,
0.27072077989578247,
1.2934067249298096,
-0.01763741485774517,
0.16564705967903137,
-0.31017225980758667,
0.07126617431640625,
-0.4261821210384369,
-0.234259873628... |
Teacher:In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer wi... | against | 6 | NIv2 | task1727_wiqa_what_is_the_effect | zs_opt | [
0.2688260078430176,
0.520025908946991,
-0.07804549485445023,
-0.5488865375518799,
-0.29114794731140137,
-1.5002646446228027,
0.3637087345123291,
0.9969487190246582,
-0.0127258887514472,
0.008194267749786377,
-0.2988205552101135,
-0.17098185420036316,
-0.7080594897270203,
-0.250383913516998... |
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Ex Input:
(A) inviting my aunt (who is divorced from my uncle) to my baby shower
(B) wanting my bf to... | A
| 1 | NIv2 | task106_scruples_ethical_judgment | fs_opt | [
-0.2088828682899475,
0.6624623537063599,
-0.11662070453166962,
0.2635236084461212,
-0.5557341575622559,
-0.19137781858444214,
-0.4054436683654785,
0.4685437083244324,
0.3342580795288086,
0.6318373680114746,
-0.5806231498718262,
0.12810906767845154,
0.36819732189178467,
-0.7333621978759766,... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (co... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', ... | 0 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.043034061789512634,
0.0727546289563179,
-0.15302976965904236,
0.06860189139842987,
0.1164921373128891,
-0.2196965515613556,
0.332082599401474,
0.49487894773483276,
-0.3209852874279022,
0.11179429292678833,
-0.3603944778442383,
-0.326780766248703,
-0.45807987451553345,
-0.0566712468862533... |
You will be given a definition of a task first, then some input of the task.
A text is given in English. Translate it from the English language to the Gujarati language. The translation must not omit or add information to the original sentence.
પ્રધાનમંત્રી શ્રી નરેન્દ્ર મોદીની અધ્યક્ષતામાં કેન્દ્રિય મંત્રીમંડળની બેઠક... | The Union Cabinet chaired by Prime Minister Shri Narendra Modi has given ex-post facto approval to the Memorandum of Understanding (MoU) between India and imbabwe for cooperation in the field of geology, mining and mineral resources. | 1 | NIv2 | task1080_pib_translation_gujarati_english | zs_opt | [
0.17638278007507324,
0.15747210383415222,
-0.0079861581325531,
-0.6156448125839233,
0.5109522342681885,
-0.4228924810886383,
0.6398059129714966,
-0.41424989700317383,
-0.09553845226764679,
0.6050537824630737,
-0.07771173119544983,
-0.7201909422874451,
0.16854451596736908,
0.451151818037033... |
Detailed Instructions: In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', a... | B | 4 | NIv2 | task580_socialiqa_answer_generation | fs_opt | [
0.7803957462310791,
0.5038155317306519,
0.12320585548877716,
-0.006315799430012703,
0.1581217646598816,
-0.7240586876869202,
0.47021016478538513,
0.09616285562515259,
0.17496852576732635,
0.2777390480041504,
-0.6090503334999084,
-0.14049673080444336,
0.24252383410930634,
-0.38478884100914,... |
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguish... | cabon monoxide.
****
| 4 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.2842639088630676,
0.9599430561065674,
-0.7758852243423462,
0.0001717244740575552,
-0.3670671582221985,
-1.3437669277191162,
0.2926553189754486,
0.8828555345535278,
-0.6403825283050537,
0.16192777454853058,
-1.1885545253753662,
0.3755515217781067,
-0.4043872058391571,
-0.2952476143836975,... |
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.
--------
Question: [-251, -184, -971, -685, 147, 315, 509, -477]
Answer: [-250, -180, -970, -680, 150, 320, 510, -480]
Question: [-94, 759,... | [620, 650]
| 7 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.8774750232696533,
0.39009320735931396,
-0.21204636991024017,
-0.11240141838788986,
-0.31070172786712646,
-0.4324769675731659,
0.9912257194519043,
0.17059557139873505,
-0.4379189908504486,
0.48079049587249756,
-0.8302122354507446,
0.1722952127456665,
-0.9060636758804321,
0.23529875278472... |
Given the task definition and input, reply with output. 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... | 3 | 5 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
0.11846084147691727,
0.5775681734085083,
0.15543018281459808,
-0.4317377805709839,
0.5122019648551941,
-0.14618049561977386,
0.6339285373687744,
0.10551323741674423,
-0.1412147730588913,
0.03900817036628723,
-0.4580228328704834,
0.12402632087469101,
0.1320129632949829,
-0.3011458218097687,... |
Detailed 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.
Q: [-969, -888, 292, 669]
A: | [-970, -890, 290, 670] | 9 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.6094095706939697,
0.4841412901878357,
-0.0972885712981224,
-0.8154545426368713,
-0.5537335872650146,
-0.025594474747776985,
0.6895176768302917,
-0.8379493951797485,
-0.14868436753749847,
0.20762354135513306,
-0.46158480644226074,
0.3609601557254791,
-0.33670660853385925,
0.2429366111755... |
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Documentos: caramelos de froitas.
| Documentos: Rebuçados | 5 | NIv2 | task1246_ted_translation_gl_pt | zs_opt | [
-0.2623363137245178,
1.2635693550109863,
0.35490620136260986,
-0.5367808938026428,
-0.1611955761909485,
-0.25629764795303345,
-0.42643529176712036,
0.39276033639907837,
-0.6054141521453857,
-0.7523464560508728,
-0.6794183850288391,
-0.06736569106578827,
-0.4016764461994171,
0.1552186161279... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
One example: But if the shares belong to Geoffrey Charles, well, then George cannot touch them.
Solution is here: لكن لو كانت الأسهم بإسم جوفري تشارلز لن يمكن لجورج المساس بهم.
Explanation: This is a good example. Th... | وشدّد المتكلّمون على استنتاجات الفريق الرفيع المستوى المعني بالتهديدات والتحدّيات والتغيير، وكذلك على تقرير الأمين العام، وعنوانه: "في جو من الحرّية أفسح - صوب تحقيق التنمية والأمن وحقوق الانسان للجميع" (A/59/2005) الذي يبيّن توصيات وإجراءات محدّدة لازمة لتمكين هذه الهيئة العالمية من مكافحة التهديدين المعاصرين والمتراب... | 6 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
0.7072360515594482,
0.5107076168060303,
-0.2608521282672882,
-0.8170795440673828,
0.1127081960439682,
-0.31669700145721436,
0.7053130865097046,
0.040875598788261414,
-0.13966578245162964,
-0.28802821040153503,
-0.560182511806488,
0.5597851276397705,
-0.828563928604126,
-0.21223323047161102... |
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").
Let me give you an example: Fact1: a plant requires sunlight to grow, Fact2: Plants to avoid are fast-growing vines that can take over an area in no time., Q... | A | 8 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.4865816831588745,
0.25476232171058655,
-0.941818118095398,
0.14045114815235138,
-0.7481018900871277,
-1.257116436958313,
0.14398238062858582,
0.9137663841247559,
-0.03678141161799431,
-0.0552527979016304,
-0.8033967018127441,
0.03979812189936638,
-0.22891128063201904,
-0.1785093247890472... |
Given the task definition and input, reply with output. In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too ob... | Non-obscene | 5 | NIv2 | task326_jigsaw_classification_obscene | zs_opt | [
-0.8882875442504883,
0.4062255322933197,
0.9985988140106201,
0.05772273242473602,
0.4582500457763672,
-0.20413419604301453,
0.3493186831474304,
0.6281590461730957,
0.2946174740791321,
0.7045202255249023,
0.03973871469497681,
0.0789942741394043,
-0.0925331637263298,
-1.1020092964172363,
0... |
A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence.
introduction of air-conditioned coaches with automatic door operation to improve comfort level and safety of commuters.
यात्रियों की सुविधा और सुरक्षा के ... | प्रधानमंत्री श्री नरेंद्र मोदी ने आज उत्तर प्रदेश के गाजीपुर का दौरा किया।
| 0 | NIv2 | task1023_pib_translation_english_hindi | fs_opt | [
-0.48977014422416687,
0.1674736887216568,
-0.044412631541490555,
-0.12039156258106232,
-0.5744826793670654,
-0.0720256045460701,
0.4192706346511841,
0.16648279130458832,
-0.4821803867816925,
0.20071521401405334,
-0.5488631725311279,
-0.4588938355445862,
-0.18321166932582855,
0.562677860260... |
Teacher:You are given a statement written in Tamil. 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 .
Teacher: Now, understand the problem? Solve this instance: Statement: பௌ-பீஜ் (Bhau-beej) அல்லது பாய் தூஜ... | வங்காளம் | 6 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | zs_opt | [
1.0148038864135742,
0.20130833983421326,
-0.0792853832244873,
0.3244706392288208,
-0.5128755569458008,
-0.3435366153717041,
0.21942582726478577,
0.8481844663619995,
-0.5550020337104797,
0.30712890625,
-0.5937297344207764,
0.22790585458278656,
0.07219545543193817,
-0.3579191267490387,
0.7... |
Q: You are given an elementary science question along with a few answer options. List all the words from the question that are essential and sufficient for choosing the correct answer option. Keep in mind that essential words are necessary to understand the meaning of the given question. However, non-essential words pr... | LONGEST, time, observe? | 7 | NIv2 | task044_essential_terms_identifying_essential_words | zs_opt | [
0.22263355553150177,
0.5969818234443665,
-0.5543307662010193,
-0.9642221331596375,
-0.35683953762054443,
-1.3675264120101929,
0.7725329399108887,
0.47557905316352844,
-0.11440181732177734,
-0.1942465603351593,
0.21334987878799438,
-0.8081480264663696,
-0.2743978798389435,
-0.12586733698844... |
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 "False".
--------
Question: Reviews: This came with all the ... | False
| 7 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
0.3039625883102417,
0.48631662130355835,
-0.7753933668136597,
-0.172231063246727,
-0.12033629417419434,
-0.979785680770874,
0.43393510580062866,
0.9486498236656189,
-0.0753014087677002,
0.30396538972854614,
-0.48097172379493713,
0.8254796862602234,
-0.7396631836891174,
-0.03072637133300304... |
This task is about translating a given English language sentence to Spanish.
Q: Myron and one of his sons were also tested for whooping cough - both were negative.
A: A Myron y a uno de sus hijos también les hicieron la prueba de la tos ferina: ambos dieron negativo.
****
Q: This system equates intelligence with a kn... | Me quedé tan impresionado, tan asombrado...
****
| 4 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-0.5479569435119629,
0.18513557314872742,
0.33324992656707764,
-1.0907076597213745,
0.09254631400108337,
-0.8103919625282288,
0.4184820055961609,
0.7303816080093384,
1.0737366676330566,
-0.9560973048210144,
-0.46842241287231445,
0.44813430309295654,
-0.9847854375839233,
0.09589608758687973... |
Detailed Instructions: 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... | 34 | 9 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.47479769587516785,
0.5788857936859131,
-0.36253392696380615,
-0.45465391874313354,
-0.31068670749664307,
0.11926847696304321,
0.2542151212692261,
0.8237018585205078,
-0.3397752046585083,
-0.2881547212600708,
-0.16399067640304565,
-0.03345991298556328,
-0.6906882524490356,
-0.04879879206... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Example Input: The beefed up doorman let patrons that were on his list into the club until the _ was full. (A) club (B) list
Example Output: A
Example I... | A
| 3 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
0.3007996082305908,
0.4420085847377777,
-0.10848255455493927,
-0.2693220376968384,
-0.22181934118270874,
-0.9217433333396912,
0.576047420501709,
1.0052605867385864,
0.5255930423736572,
0.24115175008773804,
0.21064722537994385,
0.27132904529571533,
0.4022531509399414,
-0.42523711919784546,
... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Gli fa tornare alla mente la parola barocco, baracca, barboncino, Suzanne R. - lui ce l'ha fatta.
Output: | co kojarzy mu się ze słowem barok, buda, szczekać, pudelek, Suzanne R. — rozpędza się. | 1 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
0.14506220817565918,
1.631481647491455,
-0.0984688401222229,
0.5022478103637695,
0.0066787782125175,
0.18991723656654358,
0.6658966541290283,
0.023814236745238304,
-0.40415719151496887,
-0.2199263870716095,
-0.28931620717048645,
0.359927237033844,
-0.5119922757148743,
0.40242570638656616,
... |
You will be given a definition of a task first, then some input of the task.
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects... | Sentence 1: Eve often visited the art gallery but rarely visited the museum, as she found the _ to be depressing.
Answer1: museum.
Sentence 2: Eve often visited the art gallery but rarely visited the museum, as she found the _ to be uplifting.
Answer2: gallery. | 1 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.441754013299942,
0.23299561440944672,
0.10585255920886993,
0.11217477172613144,
0.8518253564834595,
-0.7522254586219788,
0.3635692000389099,
1.0362389087677002,
-0.6643986701965332,
-0.3798404335975647,
-0.3542293906211853,
0.10118730366230011,
-0.2728210985660553,
-0.09809209406375885,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Ex Input:
برخی از معصیت های من شنیع ترند.
Ex Output:
חלק מהנורמות שלי, יותר בוטות.
Ex Input:
نجات از فقیری.
Ex Output:
לצאת מהעוני
Ex Input:
اما میخوام با داستان آقای "" ریچارد ماسینا "" شروع کنم ، که هم دوسته منه و... | תחילה אספר לכם סיפור מאת מר ריצ 'ארד מסינה, חברי ומנהל בית ספר יסודי במקצועו.
| 1 | NIv2 | task1269_ted_translation_fa_he | fs_opt | [
-0.6989299058914185,
0.24679717421531677,
-0.44915276765823364,
-0.014864036813378334,
-1.0549125671386719,
-0.04612264782190323,
0.5426502227783203,
0.3930448293685913,
0.5509318709373474,
-0.4896475672721863,
-1.4239734411239624,
-0.0014212486566975713,
-0.9836822748184204,
-0.2436388880... |
Detailed Instructions: In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Problem:Dialogue 1: 'hw r u i am fine i miss u so much'. Dialogue 2: 'no tha... | no | 8 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.606372594833374,
0.20647552609443665,
0.8297795057296753,
-0.4558679461479187,
-0.1967870593070984,
0.16306452453136444,
0.8044475317001343,
-0.2101914882659912,
-0.27859222888946533,
-0.6507202386856079,
-0.007310951594263315,
-0.7572985887527466,
-0.2536434531211853,
0.539209723472595... |
Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it bei... | Solution: Fledermäuse kommen in einer Vielzahl von Farben. | 5 | NIv2 | task416_mickey_de_sentence_perturbation_generation | fs_opt | [
-0.06520888954401016,
0.6022140383720398,
0.18324841558933258,
-0.3342651426792145,
-0.06191183254122734,
-0.9623638391494751,
0.22349032759666443,
1.395269513130188,
-0.02994086593389511,
0.06179235503077507,
-0.29375627636909485,
-0.01967635378241539,
-0.933063268661499,
0.06063557788729... |
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Q: Modeling informal inference in natural language is very challenging. With the recent availability of large annotat... | We propose the Warped Residual Network using a parallelizable warp operator for forward and backward propagation to distant layers that trains faster than the original residual neural network.
****
| 4 | NIv2 | task668_extreme_abstract_summarization | fs_opt | [
0.07535545527935028,
0.03708037734031677,
-0.5717673301696777,
0.08045673370361328,
0.5325043797492981,
0.035463977605104446,
0.5263434648513794,
1.1030652523040771,
0.3412166237831116,
0.2606651186943054,
-0.7919106483459473,
0.24874544143676758,
-0.616267204284668,
0.1737326681613922,
... |
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Ex Input:
Jag anser att detta faktiskt är nödvändigt, eftersom vi vid utsk... | In this regard, I would also like to refer very briefly to the problems of the tunnels, which Messrs Rack and Swoboda have referred to, which, in the case of Austria, is doubtless a very sensitive issue, and great effort should be made to improve their safety.
| 1 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
-0.217905193567276,
-0.01620703563094139,
0.7853872776031494,
-0.03379305452108383,
0.6867616772651672,
-0.36049172282218933,
0.6326873302459717,
0.41526150703430176,
-0.02233259379863739,
0.40538662672042847,
-0.1072269156575203,
0.20073571801185608,
-0.6954110264778137,
-0.22943615913391... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Example: Afinal de contas elas é que decidem, e decidiram mesmo.
Example solution: אחרי הכל, הם החליטו, והם עשו,
Example explanation: The Portugese sentence is correctly translated into Hebrew, because the meaning is p... | Solution: ובאופן גובר והולך, המחיר שאנחנו מתבקשים לשלם על כל החיבוריות הזו הוא הפרטיות שלנו. | 5 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
0.042990460991859436,
0.8684754371643066,
0.16975808143615723,
0.027143243700265884,
-0.520865797996521,
-0.3208717107772827,
1.2254180908203125,
0.2410830706357956,
0.6037103533744812,
-0.16526542603969574,
-0.4607512056827545,
0.30171477794647217,
-0.7368219494819641,
-0.29498291015625,
... |
Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). Person... | Yes | 5 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.07945559918880463,
0.4115116596221924,
0.34818241000175476,
-0.16496001183986664,
-0.39906346797943115,
-0.46639174222946167,
1.1172364950180054,
0.4951842427253723,
-0.5479552149772644,
-0.49142026901245117,
-0.5207178592681885,
-0.29488375782966614,
-0.7141038179397583,
0.0846385732293... |
Teacher: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 ranges. i and j... | 33817 | 6 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
-0.15127496421337128,
0.3687734603881836,
-0.5794687271118164,
-0.7632396817207336,
-0.23673416674137115,
0.13686677813529968,
0.24881598353385925,
0.20644375681877136,
-0.38106876611709595,
0.3495357036590576,
-0.7967882752418518,
0.23532059788703918,
0.10617395490407944,
-0.3528118729591... |
Teacher: In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
Teacher: Now, understan... | [-50, 88, 41, -65] | 2 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.3050623834133148,
0.678538978099823,
-0.10414642840623856,
-0.843529224395752,
-0.06775450706481934,
-0.781322717666626,
1.1518020629882812,
0.627995491027832,
0.0665927603840828,
-0.07774890959262848,
-0.02674073725938797,
0.14153853058815002,
-0.21662789583206177,
-0.10102955251932144... |
Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
Example input: entity: arm
before: free
after: grasped
attr: state
Example output: state of arm was free before and grasped a... | position of gas lever was on before and off afterwards | 3 | NIv2 | task1631_openpi_answer_generation | fs_opt | [
0.1613512933254242,
0.3875223398208618,
-0.45816949009895325,
-0.6774470210075378,
-0.3753078579902649,
-1.567071557044983,
0.18213962018489838,
1.0572514533996582,
0.17745304107666016,
-0.327120304107666,
0.0745820626616478,
-0.048674747347831726,
-0.6553918123245239,
-0.5618249177932739,... |
Definition: In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Input: Context: Austin rendered it to their country so they... | No | 2 | NIv2 | task579_socialiqa_classification | zs_opt | [
0.1857096552848816,
-0.162444606423378,
0.22343508899211884,
0.4467742145061493,
-0.24614444375038147,
-0.11374908685684204,
0.3742985427379608,
0.536011815071106,
0.005153672304004431,
0.2346656173467636,
-0.3921063244342804,
-0.01672852784395218,
0.10109630972146988,
-0.02861127816140651... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Q: Comment: You lie worse than Obama did in his lie of the year. Pat... | Sexual-explicit
****
| 4 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-1.257031798362732,
0.4932716190814972,
0.24529901146888733,
0.05511406064033508,
-0.2834378480911255,
-0.912733793258667,
-0.1572461724281311,
0.6749282479286194,
0.43888622522354126,
0.4982922077178955,
-0.16028419137001038,
0.45603492856025696,
-0.15838117897510529,
-1.1856319904327393,... |
Part 1. Definition
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Part 2. Example
Baloney. You are going to see real action against Herr Trump and his white supremacist agenda.
Answer: Yes
Explanation: The comment suggests threat against Trump and his agen... | Yes | 7 | NIv2 | task1722_civil_comments_threat_classification | fs_opt | [
0.22825196385383606,
0.9360940456390381,
-0.13074031472206116,
0.7113007307052612,
-0.5283734798431396,
0.06482654809951782,
0.9606944918632507,
0.7975034117698669,
0.38333094120025635,
-0.2717944383621216,
-0.3845551908016205,
0.5380582809448242,
-0.8624039888381958,
-0.5369462370872498,
... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
One example is below.
Q: Person1: Are you ready to order , sir ?
... | 0 | 9 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.1143195852637291,
-0.2142336070537567,
0.2406875193119049,
0.08667298406362534,
0.19457542896270752,
0.0022901156917214394,
0.5011011958122253,
0.6530060768127441,
0.26292455196380615,
0.0650038868188858,
0.12392029911279678,
-0.3133479058742523,
-0.0719035416841507,
-0.18505701422691345... |
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
Q: THEM: i'll take the hat and 2 of the balls. you can have the book and 2 balls. YOU: could you trade the hat for some balls? THEM: no, i must have the hat. YOU: ok, well i can go with your ori... | Yes
****
| 4 | NIv2 | task1384_deal_or_no_dialog_classification | fs_opt | [
0.518345057964325,
0.7186390161514282,
-0.0004869755357503891,
0.6674017310142517,
0.3755168914794922,
-0.5090528726577759,
0.670647382736206,
-0.29121387004852295,
0.3668755888938904,
-0.8495888710021973,
-0.11317528784275055,
0.3293381929397583,
-0.7410815954208374,
0.05124811455607414,
... |
Given the task definition, example input & output, solve the new input case.
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Example: The girls continue to speak with one another while the girl knits. They
Output: put the bars around wh... | comes out of the water, showing unflinchingly on it. | 1 | NIv2 | task454_swag_incorrect_answer_generation | fs_opt | [
-0.21737396717071533,
1.1189210414886475,
-0.7110545635223389,
-0.2619466185569763,
-0.329393595457077,
0.3071693778038025,
-0.36865419149398804,
0.12293536961078644,
-0.03334126994013786,
-0.12106665223836899,
-0.08189259469509125,
-0.023138726130127907,
-0.18936166167259216,
-0.382143616... |
Given the task definition and input, reply with output. 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).... | Yes | 5 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
-0.17344771325588226,
0.0504181832075119,
0.5412325859069824,
0.15498986840248108,
-0.4352940618991852,
-0.9527016878128052,
0.8806341886520386,
1.0861363410949707,
-0.8009511828422546,
-0.24727919697761536,
-0.5922483205795288,
-0.6094257235527039,
-0.8333821892738342,
0.09450982511043549... |
In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Example input: Coming from a xenophobic race that possesses the unique ability to pass among other species and chooses not to, the bounty... | Singular | 3 | NIv2 | task430_senteval_subject_count | fs_opt | [
-1.4077625274658203,
0.6688098907470703,
0.07114073634147644,
-0.25879859924316406,
-0.8284134864807129,
-0.3945452570915222,
0.798211932182312,
-0.19831694662570953,
-0.12715353071689606,
-0.6428285241127014,
-0.5716726183891296,
0.07226528972387314,
-0.6855814456939697,
-0.13024583458900... |
Given the task definition and input, reply with output. You are given a sentence in English. Your job is to translate the English sentence into Portugese.
That does not mean that we should take them literally.
| Não significa que tenhamos que os levar à letra. | 5 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
-0.5619075298309326,
0.9581297636032104,
0.30870407819747925,
-0.25925666093826294,
-0.18749210238456726,
-0.629187822341919,
-0.5441117286682129,
0.48663944005966187,
0.5260156393051147,
-0.006731853820383549,
-0.41351523995399475,
0.41646015644073486,
-0.28156232833862305,
-0.12025514245... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
[EX Q]: Category: SIGNS & SYMBOLS
Clue: This NHL team's logo has a goalie's mask with a bill
... | poodle skirts
| 6 | NIv2 | task306_jeopardy_answer_generation_double | fs_opt | [
-0.7585917711257935,
0.4165143370628357,
-0.08347047120332718,
-0.24875864386558533,
-0.6740514039993286,
0.16880184412002563,
0.636934757232666,
-0.026036642491817474,
0.6429823637008667,
-0.3941386044025421,
0.054217010736465454,
0.28275126218795776,
-0.5876967906951904,
0.25860625505447... |
You will be given a definition of a task first, then some input of the task.
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 upperc... | I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_WALK | 1 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.3905973434448242,
0.6649188995361328,
-0.43245404958724976,
0.27175620198249817,
0.09099993854761124,
0.12617701292037964,
0.20208990573883057,
0.22335170209407806,
-0.18366090953350067,
-0.38855311274528503,
-0.6171122789382935,
-0.5355636477470398,
-0.37084972858428955,
-0.160836189985... |
Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
Input: Consider Input: What "apparatus" is re... | Output: the coefficient
| 2 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
0.11582525819540024,
1.1451473236083984,
-0.48084086179733276,
-0.11770065873861313,
-0.3709077835083008,
-0.2828572392463684,
-0.21315652132034302,
0.024945300072431564,
0.22518956661224365,
0.0515601821243763,
-0.9023029208183289,
0.01629476062953472,
-0.7618948817253113,
0.3361373543739... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Italian.
Problem:My dad was kind and loving before he had Alzheimer's, and he's kind and loving now.
Solution: | Mio padre era gentile e affettuoso prima dell'Alzheimer e lo è tuttora. | 8 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.4125177562236786,
0.36820128560066223,
0.5580185055732727,
-0.22943103313446045,
-0.42112964391708374,
-1.688210368156433,
0.3982425332069397,
0.3166283369064331,
0.35961174964904785,
0.1828133761882782,
0.17221781611442566,
0.31790992617607117,
-0.6325253248214722,
-0.00464439298957586... |
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
--------
Question: Excellent, lo-fat, lo- calorie treat for dogs. I have a German Shorthair Pointer-and these tr... | I had 3 EMPTY tea bags...BEWARE!
| 7 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.2729967534542084,
0.34872037172317505,
-0.07086893916130066,
-0.15362612903118134,
-0.5284385681152344,
-0.13665100932121277,
0.5220482349395752,
0.9692060351371765,
-0.18085438013076782,
0.3142165541648865,
-0.2958313226699829,
0.29840344190597534,
-1.074063777923584,
0.103304311633110... |
Detailed Instructions: In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Q: Add sugar to the eggs; mix well.,Sift dry ingredients and add to sugar and eggs.,Also add balance of ingredients except the nuts.,... | Add the nuts. | 9 | NIv2 | task572_recipe_nlg_text_generation | zs_opt | [
-0.04359830170869827,
0.8649861812591553,
0.2632753252983093,
-0.05769139528274536,
-0.2971077263355255,
0.3747231960296631,
0.2984839975833893,
0.24137195944786072,
-0.5757085084915161,
-0.2184561938047409,
0.4427315294742584,
0.21835672855377197,
0.05741436406970024,
0.16277556121349335,... |
A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: இத்தகைய மரியாதையை நீங்கள் உங்களது கடின உழைப்பு, சிறப்பான நடத்தை, உயரிய குணம் காரணமாக பெற்றிருக்கிறீர்கள். நீங்கள் சாதித்துள்ள இந்த நிலைமை சாதாரணமானது அல... | আমি জানি, আপনারা নিজেদের পরিশ্রম, আচার-ব্যবহার এবং চারিত্রিক বৈশিষ্ট্য দিয়ে এই সম্মান অর্জন করেছেন। | 4 | NIv2 | task982_pib_translation_tamil_bengali | zs_opt | [
-0.24235816299915314,
0.7002889513969421,
0.29178667068481445,
-0.20142611861228943,
-0.07179440557956696,
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0.2665356993675232,
-0.05543623864650726,
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-0.43364524841308594,
-0.19309894740581512,
0.1806139349937439,
-0.7846630215644836,
0.7235940694808... |
Detailed Instructions: You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given questio... | 1, 5. | 9 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.3846565783023834,
-0.12799414992332458,
-0.20588383078575134,
-0.22746451199054718,
0.5049790143966675,
-0.4934085011482239,
0.4870399534702301,
0.4430733323097229,
-1.0617620944976807,
0.38601094484329224,
-0.687309741973877,
0.92051100730896,
-0.6319279670715332,
0.19596810638904572,
... |
In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
Q: being bitter only hurts yourself lmaooo
A: | Not angry | 4 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | zs_opt | [
-1.0705363750457764,
0.654778778553009,
0.9109458327293396,
0.0229458287358284,
0.10518676042556763,
-1.2950758934020996,
0.28497567772865295,
-0.04713461548089981,
0.3093183636665344,
0.517056941986084,
0.07598798722028732,
-0.21410083770751953,
-0.7790323495864868,
-0.1569642275571823,
... |
In this task, you need to answer basic science questions. For each question, several terms are intentionally masked with ***. This masking can cover very few or many of the question words. Clearly, if masked terms are important, the modified question will be impossible to answer. Please indicate the correct answer with... | D.
| 5 | NIv2 | task043_essential_terms_answering_incomplete_questions | fs_opt | [
0.28431323170661926,
0.9206445217132568,
-0.2513391375541687,
-0.6768780946731567,
0.07105908542871475,
-1.2830684185028076,
0.36776232719421387,
1.2548112869262695,
-0.3737589418888092,
0.26849308609962463,
-0.39275670051574707,
-0.23350141942501068,
-0.7154086828231812,
0.222121089696884... |
In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Example: Passage: Nearing London, Oliver encounters Jack Dawkins, a pickpocket mo... | Solution: Ishbo. | 5 | NIv2 | task002_quoref_answer_generation | fs_opt | [
0.6566815972328186,
0.06348267197608948,
-0.6546509861946106,
-0.200934499502182,
0.33392202854156494,
-0.2728125751018524,
0.8810563683509827,
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-0.05301620066165924,
0.28224000334739685,
-0.23171648383140564,
0.5857590436935425,
-1.0445144176483154,
0.36115431785583496... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Q: ובעוד שאנו יכולים לנסות למצוא דרכים חדשות להשתמש ביכולות האלה — כמו בישול ופיסול בקרח או אפילו התנקשות של המאפיה — מה שנמצא כנראה זה, שלמעשה, הפיכת המוצרים האלה לשרותים שיש לנו גישה אליהם כשאנו צריכים אותם, זו דרך חכמה בהרבה... | و درحالي كه ما مي توانيم تلاش كرده و روشهای جدید استفاده از این ظرفیتها را بیابیم — مثل آشپزي در اين مكانها یا درست کردن مجسمه هاي یخی یا حتی یک ضربه مافیایی — اما چيزيكه احتمالا پيدا مي كنيم این است که ، در واقع این محصولات را به خدماتی تبديل كنيم كه وقتي به آنها نیاز داریم در دسترس باشند ، اين روش هوشمندانه ا... | 4 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.47318923473358154,
1.2691419124603271,
0.4522187113761902,
0.014945650473237038,
-0.39667850732803345,
-0.7499856948852539,
0.6982408761978149,
0.6161616444587708,
0.5632316470146179,
0.3129051923751831,
-0.2238844931125641,
0.4004276692867279,
-0.6360077857971191,
0.2877446115016937,
... |
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
Review: I just got the... | False | 0 | NIv2 | task494_review_polarity_answer_generation | zs_opt | [
-0.3250693082809448,
0.4253391623497009,
0.21938684582710266,
-0.5538746118545532,
0.418381929397583,
-0.946107029914856,
1.0796946287155151,
0.23624420166015625,
0.5213253498077393,
-0.0033039324916899204,
-0.39676541090011597,
-0.11065147072076797,
-0.5033071041107178,
-0.314027756452560... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
['S'... | 16 | 1 | NIv2 | task505_count_all_numerical_elements_in_list | zs_opt | [
-0.39334434270858765,
0.9913390278816223,
-0.13072939217090607,
-0.17862752079963684,
0.31288444995880127,
-0.5217404365539551,
0.7320305109024048,
0.02311672456562519,
-0.33015018701553345,
0.727606475353241,
-0.5241508483886719,
0.24616509675979614,
0.2749233841896057,
-0.184491753578186... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
Q: PersonX tells PersonY felt
A: contemplative
****
Q: ... | good
****
| 4 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.03698701411485672,
0.8775863647460938,
0.35542261600494385,
-0.6567271947860718,
-0.4387666881084442,
-1.0281896591186523,
1.3403921127319336,
0.6363816857337952,
0.5044142603874207,
-0.5351617336273193,
0.03422963246703148,
0.1443084180355072,
-0.908199667930603,
0.39840802550315857,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are to Translate German text to English
Er dient der Unterbrechung optischer Strahlung.
Output: | It serves to interrupt optical radiation. | 1 | NIv2 | task841_para_pdt_de_en_translation | zs_opt | [
-0.5598364472389221,
0.981080949306488,
-0.20929701626300812,
0.18889734148979187,
0.27710628509521484,
-0.27008748054504395,
0.5700160264968872,
0.03991192206740379,
0.7825402617454529,
0.43824392557144165,
-0.1220061182975769,
-0.04572313278913498,
-0.27464795112609863,
0.171725794672966... |
Detailed Instructions: Construct a question that every answer in the list is correct and reasonable for it.
Problem:funny, they're acting, always happy, rich, always look good
Solution: | name a way in which sitcom characters are typically different from real people | 8 | NIv2 | task821_protoqa_question_generation | zs_opt | [
-0.419014036655426,
0.9837624430656433,
0.22931572794914246,
-0.6674898862838745,
-0.025239164009690285,
-0.7912418842315674,
0.06802694499492645,
0.05373682826757431,
0.7658895254135132,
-0.10086078196763992,
-0.3452056348323822,
-0.16814324259757996,
-0.41987645626068115,
-0.290267795324... |
Teacher: Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of... | Koffie zonder melk wordt volle lager genoemd. | 2 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.4571738839149475,
0.7540041208267212,
0.11285781860351562,
-0.49341654777526855,
-0.005039706360548735,
-0.5314708948135376,
0.43424808979034424,
0.7633622884750366,
0.2233584225177765,
-0.6056827902793884,
-0.5693973302841187,
0.4279248118400574,
-0.7522035837173462,
-0.116391092538833... |
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
Let me give you an example: اگر Apple ID و ایمیل خود را فراموش کرده ام چه کاری می توانم انجام دهم؟ <sep> Apple... | paraphrase | 8 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-0.866897463798523,
0.8829368948936462,
-0.16948817670345306,
-1.1152571439743042,
-1.042098045349121,
0.17762595415115356,
2.075439453125,
0.6962403655052185,
0.3600381910800934,
-0.28412365913391113,
-0.22325575351715088,
-0.17629076540470123,
-0.5881778597831726,
0.29273009300231934,
... |
Instructions: In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remem... | Steve, who was sick, opted to eat some pudding instead of a sandwich because the _ was hard to digest. | 3 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.697542130947113,
0.24951379001140594,
0.16937249898910522,
-0.3777182102203369,
0.5213673114776611,
-0.5620109438896179,
0.8488393425941467,
0.9971402883529663,
-0.79029381275177,
-0.34281766414642334,
-0.42583245038986206,
0.21461069583892822,
-0.45516669750213623,
-0.08078393340110779,... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Example input: Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Example output: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.
Example explanation: The Portugese s... | Es decir, que estas especies no se movieron. | 3 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
-0.14959602057933807,
0.9105561971664429,
0.4100434184074402,
-0.13449518382549286,
-0.5426932573318481,
-0.8704434037208557,
0.0039232466369867325,
0.5885927081108093,
0.304049015045166,
-0.6928082704544067,
-0.6630250215530396,
0.2936082184314728,
-0.9709367752075195,
0.16638866066932678... |
Detailed Instructions: In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Spanish language.
Q: In one study, the mean capillary blood glucose was calculated in a sample of 200 patients in a consultation. The mean is 130 mg / dL, standard deviation is 2... | En un estudio se calcula la media de glucemia capilar en una muestra de 200 pacientes de una consulta. La media es de 130 mg/dl, desviación estándar de 20 y un Intervalo de Confianza (IC) al 95% (125-136). ¿Cómo se interpretaría el IC? | 9 | NIv2 | task1432_head_qa_language_translation_en_to_es | zs_opt | [
-0.8417688012123108,
0.13278847932815552,
-0.6653784513473511,
-1.097890853881836,
0.23054946959018707,
-1.1628100872039795,
-0.1577616184949875,
0.4105532765388489,
-0.2673788368701935,
-0.3773435950279236,
-0.5071984529495239,
-0.32943540811538696,
-0.5063865184783936,
0.5749037265777588... |
Q: In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed.... | There were no movies to choose from. | 7 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.016968058422207832,
0.3892456889152527,
0.05759408324956894,
-0.48088163137435913,
-0.5043965578079224,
0.5050339102745056,
-0.3225158154964447,
0.6136898994445801,
-0.2703338861465454,
-0.44354742765426636,
0.009982291609048843,
0.16156604886054993,
-0.06700299680233002,
-0.261718839406... |
Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
Ex Input:
In autosomal dominant inheritance o... | white light
| 1 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
0.17131787538528442,
0.6638792753219604,
-0.1787172555923462,
-0.2681540250778198,
-0.34334176778793335,
-1.3565526008605957,
0.3428037166595459,
0.6191659569740295,
0.19754332304000854,
-0.3393344283103943,
-0.3943122625350952,
0.028184939175844193,
-0.805422306060791,
-0.0498395785689353... |
Teacher:Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Teacher: Now, understand the problem? Solve this instance: Two different forms of vulvar intra... | 1 | 6 | NIv2 | task848_pubmedqa_classification | zs_opt | [
0.013662528246641159,
-0.07935495674610138,
-0.7198481559753418,
0.8071631193161011,
0.3403327465057373,
0.08282499015331268,
0.29994744062423706,
0.9601749181747437,
0.06945544481277466,
0.91912442445755,
0.2528783977031708,
-0.06119265779852867,
-0.07892220467329025,
-0.09586712718009949... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Example input: Penso che abbastanza presto vedrete pazienti curati con le cellule staminali derivanti dal proprio grasso o adipe.
Example output: وأعتقد أنه في القريب سوف ترى المرضى يعالجون بواسطة خلاياهم الجذعية المستخرجة ... | ويمكنني القول أن هذا عمل شخص عبقري | 3 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.34626200795173645,
0.2599334716796875,
-0.4723537564277649,
-0.3891303539276123,
-0.39149588346481323,
-0.5411398410797119,
0.6930667161941528,
0.6984915733337402,
0.41457468271255493,
-0.15735465288162231,
-0.42340874671936035,
0.18023166060447693,
-0.7106707096099854,
0.40229827165603... |
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.
Let me give you an example: A mosquito stings me
I ... | first | 8 | NIv2 | task291_semeval_2020_task4_commonsense_validation | fs_opt | [
-0.26118797063827515,
0.2642330527305603,
0.03237885981798172,
-0.5138834714889526,
-0.07544981688261032,
-0.998206615447998,
0.34143489599227905,
0.42935216426849365,
-0.02279023826122284,
0.023159287869930267,
-0.9390860795974731,
-0.7648762464523315,
-1.0335865020751953,
-0.353784352540... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Let me give you an example: Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
The answer to this example can be: Isto inclúe un sistema en árabe chamado al-jebra.
Here is why: The Italian sentence is cor... | Isto é raro, non? | 8 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
0.07584092020988464,
1.363054633140564,
-0.412436842918396,
0.2941097319126129,
-0.6386799216270447,
-1.6689977645874023,
0.7388014793395996,
0.6566741466522217,
-1.0039770603179932,
0.00765461940318346,
-0.45027363300323486,
-0.28754711151123047,
-1.201489806175232,
0.4828695058822632,
... |
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