inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Detailed Instructions: 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: AQUATIC LIFE
Clue: On trees these have stomata, or little... | leaves | 9 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.3131157159805298,
0.2894541323184967,
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-0.5893754959106445,
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0.6160040497779846,
-0.047178104519844055,
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0.37141138315200806,
-0.018006734549999237,
-0.24927955865859985,
-0.5427926182746887,
0.45303499698... |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
One example: Sentence: xname is a high-priced 3 star restaurant which offers wines an... | price[affordable], recommend[yes], decor[bad] | 6 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.5153075456619263,
0.47728651762008667,
-0.3766341209411621,
-0.2707257866859436,
-0.2833268642425537,
0.7329002618789673,
1.0484247207641602,
0.8767958879470825,
0.5095973014831543,
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0.4992002546787262,
0.0927983745932579,
-0.43018102645874023,
-0.09404165297746658,... |
Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and th... | Sam noticed she was acting nervous. She told him she was cheating on her husband. He made up an excuse to leave early
| 1 | NIv2 | task269_csrg_counterfactual_story_generation | fs_opt | [
0.4706868529319763,
0.03548073023557663,
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0.391630619764328,
0.23271170258522034,
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0.03107587993144989,
0.1197650134563446,
0.09151114523410797,
-... |
Given the task definition, example input & output, solve the new input case.
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it ca... | 1992 | 1 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.33348503708839417,
0.3043650984764099,
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0.8082398176193237,
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-0.8437901139259338,
-0.348279744386673,
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-0.013858510181307... |
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second enti... | no
| 1 | NIv2 | task472_haspart_classification | fs_opt | [
-0.7295448780059814,
0.028506474569439888,
0.5726026296615601,
0.2074127495288849,
-0.3682776987552643,
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-0.10874168574810028,
0.4346560835838318,
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-0.7505677938461304,
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In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: village x has a population of 68000 , which is decreasing at the rate of 1200 per year . village y has a population of 42000 , which is increasing at the rate of 800... | d
| 0 | NIv2 | task1420_mathqa_general | fs_opt | [
-0.010712288320064545,
0.36222633719444275,
-0.28770214319229126,
-0.816338300704956,
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0.4864651560783386,
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-0.46587470173835754,
0.5568987131118774,
-0.49789202213287354,
-0.0734115615... |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For ... | pity | 3 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
-0.11591768264770508,
0.016956457868218422,
0.035321421921253204,
-0.215654194355011,
-0.055246300995349884,
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0.6847763061523438,
0.7179950475692749,
-0.6102691888809204,
0.12197619676589966,
-0.12020532786846161,
0.23603469133377075,
-0.7324286699295044,
0.19282341003... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
| 0 | NIv2 | task1207_atomic_classification_atlocation | fs_opt | [
0.20377084612846375,
0.13264715671539307,
0.3155824542045593,
-0.20118093490600586,
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1.2796835899353027,
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0.60377705097198... |
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Sentence: 'They made Israelis Threaten Iran And Iran threaten Israel and I said it is all bluff and on and on and on .', Argument/Subject 1: 'iran', Arg... | believe in
| 0 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
0.06916526705026627,
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Q: In this task, you need to 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 'A... | PROPN | 7 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.6609359383583069,
0.40561407804489136,
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0.08989478647708893,
0.03272666037082672,
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0.5992913246154785... |
Construct a question that every answer in the list is correct and reasonable for it.
Q: rides, people, games/prizes, junk food, rest rooms, lines
A: | name something an amusement park has a lot of. | 4 | NIv2 | task821_protoqa_question_generation | zs_opt | [
0.38127440214157104,
0.37970730662345886,
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-0.2596357464790344,
-0.338040262460708... |
Part 1. Definition
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respec... | jsIPWIekkmoouvbBJaD, xcFekkmoouvaYQExZh | 7 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.14929823577404022,
0.5092570781707764,
-0.4802544116973877,
-0.32581979036331177,
0.25288763642311096,
-0.01813875511288643,
0.8032433986663818,
-0.019519422203302383,
0.3863670825958252,
0.2631106972694397,
-1.015160322189331,
-0.11459919810295105,
-0.2210671752691269,
0.167293682694435... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
Example: ['8129', 'a', '... | 11, 13, 5787, 9937, 16, 9317, 25, 4745, 761, 7, 2 | 1 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | fs_opt | [
-0.0851331502199173,
0.311222642660141,
0.35915035009384155,
-0.039134494960308075,
0.13575288653373718,
-0.2771267890930176,
-0.06363610923290253,
0.4022727310657501,
-0.12929221987724304,
-0.12038058042526245,
-0.4216132164001465,
0.004059179220348597,
0.4818715453147888,
-0.707742512226... |
Instructions: 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 list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
In... | 4595, S, 7109, G, 4139, 3887, i | 3 | NIv2 | task099_reverse_elements_between_index_i_and_j | zs_opt | [
-0.548448383808136,
0.5995500683784485,
-0.4646284580230713,
-0.5169390439987183,
-0.03988998010754585,
-0.4190959930419922,
-0.0993984043598175,
-0.4235268831253052,
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0.021596549078822136,
-0.979392409324646,
-0.0717024952173233,
0.3186749815940857,
0.117449812591075... |
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Teacher: Now, understand the problem? Solve this instance: Tamén leva a un estado de inseguridade.
Student: | و همچنین به نا امنی منزلت اجتماعی منجر می شود. | 6 | NIv2 | task1245_ted_translation_gl_fa | zs_opt | [
-0.27827247977256775,
0.849105715751648,
-0.0021609794348478317,
-1.294687032699585,
-0.3191056251525879,
0.37986060976982117,
0.3483889400959015,
0.874646008014679,
-0.06617767363786697,
0.15324218571186066,
-0.8567582368850708,
0.2650689482688904,
-0.6139983534812927,
-0.4699475169181824... |
Instructions: In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
Input: claim: The world should go vegan.
perspec... | support | 3 | NIv2 | task738_perspectrum_classification | zs_opt | [
-0.1864199936389923,
0.6781879663467407,
0.4334031939506531,
0.36007821559906006,
-0.6739650368690491,
-0.7312506437301636,
0.1560833752155304,
0.7749959826469421,
0.26751160621643066,
0.15006835758686066,
-0.19134563207626343,
-0.6809154748916626,
-0.29725271463394165,
0.3493255376815796,... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating ... | Output: Rob like salsa.
| 2 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
0.01563599333167076,
0.9708600044250488,
0.17075133323669434,
-0.6280752420425415,
-0.436813622713089,
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0.5261310935020447,
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-0.4814780354499817,
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-0.4555673599243164,
-0.45879030227661133,
-0.36327216029167175,
-0.05427718162536... |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
[Q]: Somali sentence: 24:48 Oo waxaad waxyaalahaas ayaad markhaati ka yihiin.
[A]: 24:48 And you are witnesses of these things.
[Q]: Somali sentence: 4:4 Oo haddii ay baxaan bixi lahaa ... | 13 And thou saidst in thy heart: I will ascend into heaven, I will exalt my throne above the stars of God, I will sit in the mountain of the covenant, in the sides of the north.
| 5 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
-0.5051599144935608,
1.3103117942810059,
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0.7122923135757446,
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0.9334027171134949,
-0.41714930534362793,
0.00608138088136911... |
Q: 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.
Mix both together until smooth.,______,Dip Fritos chips into dip, then scoop up salad.,Good!
A: | On a small platter or something flat, break up lettuce small; chop tomatoes small and sprinkle shredded cheese on top. | 7 | NIv2 | task572_recipe_nlg_text_generation | zs_opt | [
0.15235382318496704,
0.3515191972255707,
-0.505689263343811,
-0.3605359196662903,
-0.1747356355190277,
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1.147665023803711,
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0.4579644203186035,
0.37076330184936523,
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... |
Definition: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer... | I want(s) to be in a musical >Motivates> I got a part in the show | 2 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
0.07702721655368805,
0.23709163069725037,
-0.09726248681545258,
0.3260851502418518,
0.261385440826416,
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0.5947704315185547,
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-0.39118534326553345,
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-0.115601412951946... |
Teacher:A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: પ્રધાનમંત્રીએ નવરોઝ નિમિત્તે દેશને શુભેચ્છા પાઠવી
Student: | ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਹੋਲੀ ਦੇ ਮੌਕੇ ’ਤੇ ਲੋਕਾਂ ਨੂੰ ਸ਼ੁਭਕਾਮਨਾਵਾਂ ਦਿੱਤੀਆਂ | 6 | NIv2 | task1043_pib_translation_gujarati_punjabi | zs_opt | [
-0.139458566904068,
0.993567705154419,
0.24385902285575867,
-0.3685838282108307,
-0.057226113975048065,
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1.106252670288086,
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-0.41463321447372437,
-0.6644460558891296,
-0.3269839882850647,
0.334296196699142... |
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. 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 grammatically correct version of the input stream. Stream words ar... | ['So', 'why', 'is', 'it', 'so', 'important', 'to', 'learn', 'about', 'protein', 'structure?', 'Well,', "let's", 'take', 'the', 'example', 'of', "Alzheimer's", 'disease,', 'which', 'affects', 'the', 'brain.', 'So', 'in', 'certain', 'people', 'as', 'they', 'age,', 'proteins', 'and', 'their', 'neurons', 'start', 'to', 'be... | 4 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.699051022529602,
0.3709251880645752,
0.23896558582782745,
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0.4486021399497986,
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0.0035328587982803583,
-0.1892796903848648,
0.047666504979133606,
-0.5289126634597778,
0.10397668927907944... |
Given the task definition, example input & output, solve the new input case.
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.... | user | 1 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.08518332988023758,
0.6763802766799927,
-0.5324965715408325,
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0.13674061000347137,
0.7598419189453125,
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1.0982156991958618,
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0.017116449773311615,
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0.35975196957588196,
0.007647961378... |
Teacher:Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'Jared Bernstein , a senior economist for the Economic Policy Institute , to... | be economist with | 6 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
-0.7138249278068542,
0.5540480613708496,
0.5123510360717773,
-0.8438588380813599,
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0.057709142565727234,
1.2517367601394653,
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0.07344185560941696,
-0.32525309920310974,
0.3996219038963318,
-0.7489737868309021,
0.4341219663619995,
... |
Q: You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write ... | unacceptable | 7 | NIv2 | task616_cola_classification | zs_opt | [
-1.0342720746994019,
0.8364487886428833,
0.9142611622810364,
-0.46804431080818176,
-0.13222181797027588,
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0.6320693492889404,
0.0025804706383496523,
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-1.0617728233337402,
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0.041917502880... |
Definition: In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephon... | N | 2 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.0259912014007568,
0.4662993550300598,
0.09261814504861832,
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-0.08193059265613556,
0.7322332859039307,
0.5291544198989868,
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-0.038794394582509995,
-0.6100401878356934,
0.3628382682800293,
-0.4863132834434509,
-0.3065297603607178... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: この後、イライラが積もったムセベニはBBCで「カナダ首相が私に会いに来て、そして、彼は何について話していたか？ゲイだ」と話した。
A: | Sumunod nito, sinabi ng bigong si Miseveni sa BBC, "Ang Punong Ministro ng Kanada ay dumating para ako'y makita at ano ang kanyang sinasabi? Mga bakla." | 4 | NIv2 | task1118_alt_ja_fil_translation | zs_opt | [
-0.3673434853553772,
-0.23823577165603638,
-0.38701537251472473,
-0.7264490127563477,
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1.0122066736221313,
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0.13981971144676208,
-0.4870826303958893,
-1.1193363666534424,
0.5307188034057617,
-0.744676411151886,
0.44904994964599... |
You will be given a definition of a task first, then some input of the task.
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 t... | energy. | 1 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.2872769236564636,
1.285987377166748,
-0.45881757140159607,
-0.22350594401359558,
0.16143979132175446,
-1.2465038299560547,
0.430392861366272,
0.5350666046142578,
-0.022054240107536316,
-0.2166239470243454,
-1.0151257514953613,
0.5567559003829956,
-0.5807284712791443,
0.34004318714141846,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
Ex Input:
Entraron siete tipos en ropa interior.
Ex Output:
e un total de sete tíos entran de forma anónima en roupa interior.
Ex Input:
La mayoría de ellas se activarán cuando me acaricien en diferentes zonas. Diferen... | Se durante décadas tivemos unha ferramenta sinxela para mantener a saúde especialmente nos pacientes pobres, por que non a usamos?
| 1 | NIv2 | task1100_ted_translation_es_gl | fs_opt | [
-0.893877387046814,
0.48396915197372437,
-0.5070635080337524,
0.9977079033851624,
-0.5261726975440979,
-1.0853558778762817,
0.33939528465270996,
0.8074362874031067,
0.4618481993675232,
-0.0941033661365509,
-0.2134639322757721,
0.7988426089286804,
-0.992482602596283,
0.1049795001745224,
0... |
Given the task definition, example input & output, solve the new input case.
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Example: But Eluned Morgan conceded that it would be "difficult for us to... | Bodyguard 'airbrushing reality' with powerful women portrayal | 1 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.29048869013786316,
0.9055787324905396,
-0.04822415113449097,
-0.2700085937976837,
0.897102952003479,
-0.1723218560218811,
0.2245388627052307,
0.924766480922699,
-0.26461538672447205,
0.42659711837768555,
0.21306005120277405,
0.43928736448287964,
-0.41273924708366394,
0.31402096152305603,... |
Instructions: In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
Input: Do you like murder mystery novels?
Output: | X wants to know what sorts of books Y likes to read. | 3 | NIv2 | task567_circa_text_generation | zs_opt | [
0.0034203208051621914,
0.15893638134002686,
-0.21288570761680603,
0.08113298565149307,
0.07535800337791443,
0.18141570687294006,
0.5411419868469238,
-0.22388315200805664,
0.6032799482345581,
-0.026853814721107483,
-1.016383171081543,
-0.5895264148712158,
-1.1646547317504883,
0.147160112857... |
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Example input: Sentence1: 'a red bus goes down the street beside a yellow building', Sentence2: 'the colorfully decorated living room has a retro style chair in it'. Is the frequency of the word 'beside' in t... | No | 3 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.9710789918899536,
0.45963913202285767,
-0.24981912970542908,
0.16837507486343384,
0.2147771269083023,
-0.294709712266922,
0.2651316821575165,
1.0259840488433838,
-0.18216249346733093,
0.14332380890846252,
-0.36865538358688354,
-0.10102353990077972,
0.5338696241378784,
0.0927300751209259... |
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 an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Which writer rode Devon Loch in the 1956 Grand... | ken dodd | 0 | NIv2 | task898_freebase_qa_answer_generation | fs_opt | [
0.06961614638566971,
0.39351940155029297,
-0.1898929327726364,
-0.03733140975236893,
-0.36496180295944214,
-0.37667232751846313,
1.2802696228027344,
-0.05782683938741684,
-0.032745081931352615,
-0.589400053024292,
-0.9213242530822754,
-0.0773371011018753,
-0.10351071506738663,
0.4169625341... |
A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
Q: આ બેઠકમાં એનડીએમએનાં સભ્યો અને અધિકારીઓ ઉપરાંત કેન્દ્રિય ગૃહ મંત્રી શ્રી રાજનાથ સિંહ, કેન્દ્રીય નાણામંત્રી શ્રી અરુણ જેટલી અને કેન્દ્રિય કૃષિ અને ખે... | ਮੀਟਿੰਗ ਵਿੱਚ ਕੇਂਦਰੀ ਗ੍ਰਿਹ ਮੰਤਰੀ, ਸ਼੍ਰੀ ਰਾਜਨਾਥ ਸਿੰਘ, ਕੇਂਦਰੀ ਵਿੱਤ ਮੰਤਰੀ, ਸ਼੍ਰੀ ਅਰੁਣ ਜੇਟਲੀ ਅਤੇ ਕੇਂਦਰੀ ਖੇਤੀਬਾੜੀ ਤੇ ਕਿਸਾਨ ਭਲਾਈ ਮੰਤਰੀ, ਸ਼੍ਰੀ ਰਾਧਾ ਮੋਹਨ ਸਿੰਘ ਅਤੇ ਐੱਨਡੀਐੱਮਏ ਦੇ ਮੈਂਬਰਾਂ ਅਤੇ ਸਟਾਫ ਸਮੇਤ ਹਾਜ਼ਰ ਸਨ। | 4 | NIv2 | task1043_pib_translation_gujarati_punjabi | zs_opt | [
0.005247713997960091,
0.4095720052719116,
0.19281496107578278,
-0.165828675031662,
-0.4232250452041626,
-0.5628474950790405,
1.2057695388793945,
-0.18547323346138,
-0.28643345832824707,
0.3536309599876404,
-0.3073585629463196,
0.23288728296756744,
-0.9360184669494629,
0.9213630557060242,
... |
A text is given in Panjabi. Translate it from the Panjabi language to the Telugu language. The translation must not omit or add information to the original sentence.
[Q]: చిన్న మధ్యతరహా సంస్థల కోసం చేపట్టే చర్యలు:
[A]: ਐੱਮਐੱਸਐੱਮਈ ਨਾਲ ਜੁੜੇ ਉਪਾਅ :
[Q]: - డిపార్ట్ మెంట్ ఆఫ్ ఫిషరీస్ ఆధ్వర్యం లో పిఎంఎంఎస్వై ద్వారా బల... | ਇਹ ਸਮਝੌਤਾ : ਮੌਜੂਦਾ ਆਈਸੀਏਆਈ ਯੋਗਤਾ ਦੇ ਨਾਲ ਸਥਾਨਕ ਲੇਖਾਂਕਨ ਯੋਗਤਾ ਵਿੱਚ ਭਾਰਤੀ ਲੇਖਾਂਕਨ ਪੇਸ਼ਾਵਰਾਂ ਨੂੰ ਮਾਨਤਾ ਉਪਲੱਬਧ ਕਰਾਵੇਗਾ, ਜਿਸ ਨਾਲ ਦੱਖਣ ਅਫਰੀਕੀ ਬਜ਼ਾਰਾਂ ਵਿੱਚ ਉਨ੍ਹਾਂ ਦੇ ਲਈ ਪ੍ਰੋਫੈਸ਼ਨਲ ਮੌਕੇ ਵਧਣਗੇ ।
| 5 | NIv2 | task1066_pib_translation_telugu_punjabi | fs_opt | [
-0.3736676871776581,
0.5043681859970093,
-0.06699764728546143,
-0.22461111843585968,
0.4222915768623352,
-0.5655370950698853,
0.6722621917724609,
0.19264760613441467,
0.5730787515640259,
0.9183861017227173,
-0.21553829312324524,
-0.4998236894607544,
-0.36802661418914795,
0.2908934354782104... |
Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
See one example below:
Problem: جناب گرانت خیلی دلش میخواست روز یکشنبه بعد از آن همه خستگی روزانه بنشیند و بوقلمون را بخورد.
Solution: because I know how much more Dr. Grant would enjoy it on Sunday... | When he returned to the palace the marketing began. | 4 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.8908588886260986,
0.6801801919937134,
-0.2742188572883606,
-0.0498586930334568,
-0.47675490379333496,
-0.8175528049468994,
1.075711727142334,
0.24271512031555176,
0.24254262447357178,
-0.495678186416626,
-0.45748117566108704,
0.889723539352417,
-0.7380324602127075,
0.7371641397476196,
... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a ... | green_basket
****
| 4 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
0.23923379182815552,
-0.5434194803237915,
-0.7674332857131958,
-0.1810435950756073,
-0.5776398777961731,
-0.6065808534622192,
-0.032228562980890274,
0.6081812381744385,
0.0028017652221024036,
-0.0981098860502243,
-0.3911193609237671,
0.7084847092628479,
-0.13753828406333923,
-0.02805114164... |
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
[Q]: Sentence1: You're welcome, have a great day. Sentence2: I would like modern european food and in should be located in the centre of town. Sentence3: I would like a train that leaves fr... | Answer: (B) System
| 5 | NIv2 | task638_multi_woz_classification | fs_opt | [
0.77503502368927,
0.45793747901916504,
-0.5318395495414734,
-0.29212695360183716,
0.34744149446487427,
-0.6336789131164551,
0.3423450291156769,
0.7768204808235168,
-0.5000890493392944,
-0.1083298772573471,
0.32779407501220703,
0.07222015410661697,
-0.5882361531257629,
0.30838748812675476,
... |
instruction:
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".
question:
After more than a year of effort, attorneys with Northwest Justice Project earlier this ... | Yes
| 9 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.29934823513031006,
-0.09912563860416412,
-0.33848047256469727,
0.601773738861084,
0.5861735939979553,
-0.3585766851902008,
0.47581803798675537,
0.9037454128265381,
-0.33642464876174927,
0.0016728267073631287,
-0.28567519783973694,
0.7438607811927795,
-0.8796057105064392,
-0.0887931734323... |
In this task, you are given a sentence in the Hindi 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).
[Q]: 9 जनवरी तक, एजेंसी की वेबसाइट ब्राजील सरकार के सार्वजनिक क्षेत्र भर में... | Many believe that in Japan it is difficult for any games console to be successful that isn't from a Japanese company, such as Sony or Nintendo.
| 5 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
-0.6560550928115845,
0.13214111328125,
0.4861947298049927,
-0.7288187146186829,
0.02313535287976265,
-0.0025035240687429905,
0.8084491491317749,
0.713862955570221,
-0.22435638308525085,
-0.2762795686721802,
-0.18980945646762848,
0.26147109270095825,
-0.30472785234451294,
0.1019494533538818... |
In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', c... | 2 | 4 | NIv2 | task201_mnli_neutral_classification | zs_opt | [
-0.3489686846733093,
0.29698026180267334,
-0.3508060574531555,
0.18110911548137665,
0.16242730617523193,
-0.09305165708065033,
0.2688191533088684,
0.859652042388916,
0.4304819107055664,
0.3082619905471802,
-0.05901065841317177,
0.12954148650169373,
-0.049860045313835144,
-0.685336709022522... |
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
[Q]: 爆発は推定爆破半径三マイルであった。
[A]: ການລະເບີດຄາດວ່າມີລັດສະໝີກວມເອົາ ໄລຍະ 3ໄມລ.
[Q]: オリンピックでの唯一のアーチェリーのイベントがターゲット・リカーブ競技で、イングレイが選手権で参加するただ一つのイベントである。
[A]: ກ... | ສະພາໄດ້ລົງຄະແນນສຽງເພື່ອໃຫ້ ສະເທິນຣູ ຈ່່າຍຄ່າເສຍຫາຍໃຫ້ເມືອງ.
| 5 | NIv2 | task1124_alt_ja_lo_translation | fs_opt | [
0.04533080384135246,
0.19007232785224915,
-0.6518597602844238,
-0.4876134395599365,
0.26661795377731323,
-0.21993979811668396,
0.4012439250946045,
0.20802414417266846,
-0.6552828550338745,
-1.011500358581543,
-0.585991382598877,
0.9101282358169556,
-0.6857478618621826,
0.28804606199264526,... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Problem:自分の居場所を取られてしまうとビバリーが心配してたのでね
Solution: | دِرِک: این تنها راه نجات دان ازدواجم بود ، چون بِوِرلی فکر مي کرد که کس دیگری را بجاش پیدا کردم. | 8 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
0.4904380142688751,
0.18682903051376343,
-0.4630938470363617,
-0.3215962052345276,
-0.3001478314399719,
-0.5089912414550781,
0.935566246509552,
-0.013097199611365795,
0.03715268149971962,
0.12586958706378937,
-1.0202007293701172,
0.18533873558044434,
-0.5208711624145508,
-0.051972039043903... |
TASK DEFINITION: You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
PRO... | foundation
| 8 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
0.36058250069618225,
0.7534970045089722,
-0.228552907705307,
-0.21453654766082764,
0.1603199690580368,
-0.44671541452407837,
1.0787781476974487,
0.651212215423584,
-0.004905159585177898,
0.21708330512046814,
0.33515775203704834,
0.4238254427909851,
-0.3500410318374634,
0.09631479531526566,... |
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
[Q]: Tweet: @anonymized_account @anonymized_account @anonymized_account lovekrakow to jest poczytny portal ? , Question: Does the tweet contain cyberbullying (harmful) content?
[A]: No
[Q]: Tweet: RT @ano... | No
| 5 | NIv2 | task839_cdt_classification | fs_opt | [
-0.8153555393218994,
1.0726935863494873,
0.41716432571411133,
0.5401368141174316,
-0.4643297791481018,
-0.7483115792274475,
1.442763090133667,
-0.49555981159210205,
0.20460554957389832,
-0.04028424248099327,
-0.027354497462511063,
0.4181305766105652,
-0.7112169861793518,
-0.193572998046875... |
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Q: What Boeing model of fighter plane , built by the US the same year Allied forces first set foot in Japan during World War II , never went into production ?
A: | Boeing XF8B | 4 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
-1.043273687362671,
0.808739185333252,
-0.09754565358161926,
0.4075530767440796,
0.34604495763778687,
-0.0049565560184419155,
0.3355887830257416,
1.1439099311828613,
0.4824378788471222,
0.10503372550010681,
0.11898307502269745,
0.10586145520210266,
0.1350945681333542,
-0.32468152046203613,... |
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.
Okay, it has started.. | No | 0 | NIv2 | task879_schema_guided_dstc8_classification | zs_opt | [
0.05730061233043671,
0.6873707175254822,
0.20165517926216125,
0.6006112098693848,
-0.4286837577819824,
0.11474061012268066,
0.5260462760925293,
1.2031537294387817,
0.5296581983566284,
0.49806076288223267,
-0.2907600402832031,
-0.9626951217651367,
-0.33111122250556946,
-0.48076075315475464,... |
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.
One example is below.
Q: Poster: Stopped by Fashion Week and got to ha... | Positive | 9 | NIv2 | task823_peixian-rtgender_sentiment_analysis | fs_opt | [
-0.6012125611305237,
-0.33905693888664246,
0.3776974678039551,
0.12398245185613632,
0.4874649941921234,
-0.46844953298568726,
0.0851280614733696,
0.23760339617729187,
0.5064992308616638,
0.4054078161716461,
-0.08076821267604828,
-0.04784368723630905,
-0.062336258590221405,
-0.1045106127858... |
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
what is the class year of the person born 6/27/1927 ? | 1950 | 0 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
-0.8093936443328857,
1.3540122509002686,
0.2795403003692627,
-0.23684737086296082,
-0.15578098595142365,
-1.3683714866638184,
0.43050703406333923,
0.01713615097105503,
0.17774423956871033,
-0.4324270188808441,
-0.4393688440322876,
0.44066715240478516,
-1.2305070161819458,
0.276104211807251... |
Detailed Instructions: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Problem:Alphonse told us all about the recent depressing events.
Solution: | male | 8 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.37536177039146423,
0.6123710870742798,
-0.5957277417182922,
-0.9308907985687256,
-0.4197483956813812,
-1.0311744213104248,
1.1763757467269897,
0.30838215351104736,
0.7550714612007141,
0.6383926272392273,
-0.9518929719924927,
-0.11144141852855682,
-0.445695698261261,
0.3127390146255493,
... |
Q: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Na Argentina, uma plataforma aberta chamada DemocracyOS está a levar a participação aos parlamentos e partidos políticos.
A: | In Argentina, an open-source platform called DemocracyOS is bringing participation to parliaments and political parties. | 7 | NIv2 | task1274_ted_translation_pt_en | zs_opt | [
0.4602819085121155,
0.11071285605430603,
-0.012013603001832962,
-0.4514021575450897,
-0.8678220510482788,
-0.7650720477104187,
0.9181421995162964,
0.6255549192428589,
0.3403358459472656,
0.7558602690696716,
-0.028266239911317825,
0.15383121371269226,
0.06341665983200073,
0.0500162467360496... |
instruction:
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 ... | The man is wearing green
| 9 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.3514004945755005,
0.5842167735099792,
0.16063866019248962,
-0.5712266564369202,
-0.18024474382400513,
-0.5253334045410156,
0.17028139531612396,
0.9231375455856323,
0.10474742949008942,
-0.36745670437812805,
-1.1183730363845825,
-0.4402981400489807,
-0.24431930482387543,
-0.0875328034162... |
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 language only and also it cannot have two languages at a time.
[EX Q]: इनमें अलवर व भरतपुर पर आरोप था कि उनके शासक राष्टृवि... | English
| 6 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | fs_opt | [
-0.32375800609588623,
0.2135968804359436,
0.766527533531189,
0.4237045645713806,
-0.2526472806930542,
-0.6656333208084106,
0.17545557022094727,
0.45607396960258484,
-0.005556594114750624,
-0.39597272872924805,
-0.376187801361084,
-0.36901530623435974,
-0.27962738275527954,
-0.2529724240303... |
instruction:
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
question:
Voulles mostrar esa información e logo explicareilles por que existen esas asociacións.
answer:
皆さんにそのデータをお見せして後に紹介する関連性が存在する理由を説明しますが
question:
Senteime e pensei: "" ¿Que está a pasar? "". O pro... | 分かるわけないな」そう思っていると息子は口を開きました「ぼくが大きくなったら子どもに見せられるね」これはすごいことだと思いましたでは最後に私たち家族にとって思い出に残る場面をご覧いただきます
| 9 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.08417287468910217,
0.0335220992565155,
-0.09857773035764694,
-0.41689202189445496,
-0.13879990577697754,
-0.6641327738761902,
0.5664132237434387,
0.4813990592956543,
-0.20959854125976562,
-0.32358840107917786,
-0.021249283105134964,
-0.36560752987861633,
-0.6980808973312378,
0.798473894... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
Q: من شخصا "" از فراموش کردن متنفرم ، و این واقعا "" کار ساده ایست.
A: | Personalmente, estoy cansado de olvidar, y esta es una cosa de verdad fácil de hacer. | 4 | NIv2 | task1267_ted_translation_fa_es | zs_opt | [
-0.4236944019794464,
1.0134162902832031,
-0.3447631597518921,
-0.5324876308441162,
-0.6454729437828064,
-0.8820894956588745,
1.2825127840042114,
0.9387289881706238,
0.9520240426063538,
-0.9507244825363159,
-0.581167995929718,
0.23585864901542664,
-0.24802131950855255,
0.8782562613487244,
... |
Definition: In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Input: 子供向けの歌 . 聴いても何も伝わらないし、何も残らない。 以前はもっとマシな曲を歌ってたけど、最近はひどい。 それと、歌唱力を何とかし... | NEG | 2 | NIv2 | task487_cls_japanese_music_classification | zs_opt | [
-0.1139209121465683,
-0.38172489404678345,
-0.14141595363616943,
0.3083592653274536,
0.5086719393730164,
-0.47247496247291565,
0.7118341326713562,
0.4195353090763092,
0.05247889459133148,
0.46122342348098755,
-0.49256232380867004,
-0.45052018761634827,
0.2674849331378937,
-0.01956975087523... |
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as ... | a | 6 | NIv2 | task231_iirc_link_classification | fs_opt | [
0.27632927894592285,
0.11712802946567535,
-0.9426502585411072,
-0.14226728677749634,
0.6463900804519653,
-0.4598897397518158,
1.5759165287017822,
0.7969754934310913,
-0.018283212557435036,
-0.007378735579550266,
-0.6135557889938354,
0.437821626663208,
-0.9014850854873657,
0.239248141646385... |
Teacher:This task is about translating a given French language sentence to English.
Teacher: Now, understand the problem? Solve this instance: Pour en savoir plus, consultez le site google.fr/apps
Student: | Today. To learn more, go to google.com/apps | 6 | NIv2 | task1690_qed_amara_translation | zs_opt | [
-0.5976530909538269,
0.4153461158275604,
0.5641264915466309,
-1.0028810501098633,
0.0585121251642704,
-0.6938945651054382,
0.014416556805372238,
-0.010440396144986153,
0.07452471554279327,
-0.31608033180236816,
-0.2851641774177551,
-0.29369500279426575,
-0.31464946269989014,
-0.61164700984... |
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 will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity t... | (D) | 0 | NIv2 | task302_record_classification | fs_opt | [
0.2552880048751831,
0.31160712242126465,
-0.5773242712020874,
-0.11276751756668091,
0.12678229808807373,
-0.21729934215545654,
0.797293484210968,
0.6357191801071167,
0.011902022175490856,
0.32743602991104126,
-0.1284056007862091,
0.6660064458847046,
-1.0451141595840454,
0.5545851588249207,... |
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned i... | For what market did Dell make computers for in Scotland?
| 1 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.3534643352031708,
0.2860017418861389,
0.08234497904777527,
-0.8061073422431946,
0.9871377944946289,
0.10555082559585571,
0.5895938277244568,
0.8772326707839966,
0.0014084884896874428,
-0.006040710024535656,
-0.1727331578731537,
0.6716145277023315,
-0.6202723979949951,
0.366150438785553,
... |
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 post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages... | Hateful | 0 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.6345511674880981,
-0.045836951583623886,
0.5951074361801147,
0.335662305355072,
0.1110716164112091,
-0.6104317903518677,
0.6857516765594482,
0.8331159353256226,
0.5177556276321411,
0.33745077252388,
0.029318785294890404,
-0.16550377011299133,
-0.5632968544960022,
-0.42959314584732056,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | Yes | 1 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.45132702589035034,
0.3118364214897156,
0.3717983067035675,
-0.317798376083374,
-0.43167397379875183,
-0.7685383558273315,
1.3225668668746948,
0.33456605672836304,
-0.6302169561386108,
-0.5293471813201904,
-0.559429407119751,
-0.6348665952682495,
-0.5839958190917969,
0.39429211616516113,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
[Q]: אז אם אתה מבקרים ב-23andMe, או אם אתם מבקרים ב-councilofdads.com, אפשר ללחוץ על קישור.
[A]: ですから 23andMe か councilofdads.com に行ったらリンクをクリックしてください
[Q]: אבל זה גורם לכם לתהות מה עוד פספסנו.
[A]: 何か見落としてきたのではという疑問が湧いてきます... | これはMITメディアラボでタンジブルメディアグループを率いる石井裕教授の素晴しい指揮の下に作られました
| 5 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-1.0752828121185303,
-0.42667096853256226,
0.16531363129615784,
0.16705963015556335,
-0.20936325192451477,
-0.2594362497329712,
0.9062656164169312,
-0.3361748456954956,
-0.3222638964653015,
-0.5562688112258911,
-0.45279461145401,
0.5157362222671509,
-0.9801081418991089,
0.4112514555454254,... |
In this task, you are given a context sentence containing a blank (_). You are expected to fill the blank with one word to make the sentence convey a cultural anti-stereotype. Anti-stereotype is an idea that goes against a common belief about a particular group of people. Your answer must not contain more than one word... | assertive | 0 | NIv2 | task278_stereoset_sentence_generation_antistereotype | zs_opt | [
-0.2591273784637451,
0.22899022698402405,
-0.2748967409133911,
0.4716564118862152,
-0.03715193271636963,
0.1952306479215622,
0.7839913368225098,
0.5555542707443237,
0.10011668503284454,
-0.5575659275054932,
0.000611776951700449,
-0.47695374488830566,
-0.8792186975479126,
0.0083968564867973... |
In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Example input: gocogccocco
Example output: gocog
Example ... | fxxxf | 3 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.37210753560066223,
0.6571303009986877,
-0.1951499730348587,
-0.34069085121154785,
-0.35114586353302,
-0.3502888083457947,
1.6190943717956543,
-0.1826229989528656,
-0.1074342280626297,
-0.19998043775558472,
-0.7300171256065369,
0.28466862440109253,
-0.719257116317749,
0.09077225625514984... |
Given the task definition and input, reply with output. In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
I bought these... | 5 | 5 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
-0.0631084144115448,
0.1164897233247757,
0.2764493525028229,
0.3093092441558838,
0.24175435304641724,
0.1827373504638672,
0.43508172035217285,
0.5741342902183533,
0.018983513116836548,
0.37655988335609436,
-0.6010448336601257,
0.026036104187369347,
-0.7828561067581177,
0.03661021217703819,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no... | yes | 0 | NIv2 | task846_pubmedqa_classification | fs_opt | [
-0.3607957363128662,
-0.06578785181045532,
0.05710351839661598,
0.15718857944011688,
0.153647780418396,
-0.5121657252311707,
0.37938392162323,
0.5873305797576904,
-0.3142291307449341,
-0.20090077817440033,
-0.6306847929954529,
-0.12817910313606262,
-0.7483561635017395,
0.10110818594694138,... |
You will be given a definition of a task first, then some input of the task.
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.
Pas... | GMRC. | 1 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.8913297057151794,
-0.04053247347474098,
0.13158243894577026,
0.3402045965194702,
0.9876967668533325,
-0.739477276802063,
0.5165169835090637,
0.3055768311023712,
-0.15540137887001038,
0.32035017013549805,
-0.1959419548511505,
0.030698951333761215,
0.31787052750587463,
-0.13307246565818787... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
One example: ['238', 'h', '92', 'U', '2799']
Solution is here: 238, 92, 2799
Explanation: Here, the numbers in the input list in order are '238', '92' and '2799'.
... | 2345, 1181, 6947, 6889, 8139, 6123, 393, 7279, 1057, 703, 67, 837 | 6 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
-0.10008417069911957,
0.24328450858592987,
-0.617595911026001,
-0.6515254378318787,
0.10458429157733917,
-0.28078946471214294,
0.6443060040473938,
-0.4434297978878021,
-0.5183312296867371,
0.3548299968242645,
-0.7566182613372803,
-0.5595080852508545,
0.24299044907093048,
0.0431188791990280... |
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 provides additional inform... | strengthener | 6 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
-0.09005607664585114,
0.13884237408638,
-0.3100409507751465,
0.11276635527610779,
0.06287148594856262,
-0.4564168453216553,
0.6420191526412964,
1.450899600982666,
0.7098416090011597,
-0.2334737777709961,
-1.2787781953811646,
-0.09281156957149506,
-0.4930345118045807,
-0.0020029584411531687... |
In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
One example is below.
Q: Deserts are in extremely dry environments, so liquids will naturally be (A) rainbow (B) plentiful (C) meager (D) talented
A: C
Rationale: Th... | A | 9 | NIv2 | task1286_openbookqa_question_answering | fs_opt | [
-0.10913557559251785,
0.44623929262161255,
0.15773095190525055,
-0.5548268556594849,
-0.6449229717254639,
-0.3686424195766449,
0.49900898337364197,
0.8916881084442139,
-0.4053248465061188,
0.02850087359547615,
-0.20890413224697113,
-0.5939432382583618,
-0.5913147926330566,
-0.0848375260829... |
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.
Example: What are arteries, veins, and capilla... | Solution: vascular system | 5 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
0.6235018372535706,
1.0544843673706055,
-0.27359381318092346,
0.09931899607181549,
-0.07693265378475189,
-1.0477216243743896,
-0.022582396864891052,
0.4684722423553467,
-0.5042664408683777,
-0.25184404850006104,
-0.09915892779827118,
-0.5725346803665161,
-0.9170998930931091,
-0.24332377314... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
[EX Q]: just a glimmering bit of soul, that compelled him, at each week end, to scorch off the hundred and forty miles.
[EX A]: و فقط بارقهای از چیزی دیگر سوسوی کوچکی از روح او را در پایان هر هفته وا میداشت که این دویست... | این بار نه عروسی بود نه تشییع جنازه به همین علت گمان میکردند حادثهای خارج از قدرت پیش بینی آنان رخ خواهد داد که به انتظارش،
| 6 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
-0.36628201603889465,
0.2509347200393677,
-0.1841539442539215,
-0.617261528968811,
-0.6404030323028564,
-0.5943597555160522,
0.7565241456031799,
-0.218298077583313,
0.15342970192432404,
-0.46882420778274536,
-0.08102963119745255,
0.29463642835617065,
-0.2921677231788635,
0.4782557487487793... |
TASK DEFINITION: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inn... | [16275, 256581, -1209, -43, 1665, -1, 141, 675, -195, 697, 517, -95]
| 8 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.36408838629722595,
0.18066726624965668,
-1.0090279579162598,
-0.10604982078075409,
-0.03491692617535591,
0.002010633936151862,
1.151340126991272,
0.9946441650390625,
-0.3500182628631592,
-0.17445586621761322,
-0.800786554813385,
-0.026967745274305344,
-0.3858320116996765,
-0.236374914646... |
Q: 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".
Can you please help me in booking the flight ticket from HOU to MSP?
A: | customer | 7 | NIv2 | task575_air_dialogue_classification | zs_opt | [
-0.0014054503990337253,
0.3422399163246155,
-0.19209381937980652,
-0.9774632453918457,
0.20646154880523682,
-0.3275356590747833,
0.3701860308647156,
-0.48129045963287354,
0.7496742010116577,
0.5318359136581421,
-0.07646922767162323,
-0.3059622049331665,
-0.4038950800895691,
-0.498263955116... |
Q: You are given a statement written in Bengali. 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 .
Statement: ১৯০৮ এ সেলোনিকায় তরুণ তুর্কি বিপ্লব শুরু হয় এবং তরুণ আনোয়ার দ্রুত এর অন্যতম সামরিক নেতা হয়ে উঠে... | কমিটি | 7 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | zs_opt | [
-0.013972283340990543,
0.8113316297531128,
-0.36848771572113037,
0.5619397163391113,
-0.2879171073436737,
0.0826999694108963,
0.1472589373588562,
0.9076706171035767,
0.29550790786743164,
0.34381747245788574,
-0.20572897791862488,
0.5225194692611694,
-0.7604784965515137,
-0.3756479620933532... |
Part 1. Definition
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrativ... | In 1987, wealthy New York investment banker Patrick Batemans life revolves around dining at trendy restaurants while keeping up appearances for his fiancee Evelyn and his circle of wealthy and shallow associates, most of whom he dislikes. Bateman describes the material accoutrements of his lifestyle, including his dail... | 7 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.43197160959243774,
0.008521568961441517,
-0.26959097385406494,
0.5330143570899963,
0.2161872386932373,
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0.06548137217760086,
1.4106485843658447,
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0.25712519884109497,
-0.2515953779220581,
-0.15138331055641174,
-0.37362873554229736,
0.99825972318649... |
Q: In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
За мен е удоволствие да отбележа, че и двата доклада определят много фронтове за действие, като същевременно се отнасят към производителите, търговците и потребителите на пести... | I am pleased to note that both reports identify a number of fronts for action, while also addressing the manufacturers, dealers and users of pesticides. | 7 | NIv2 | task271_europarl_translation | zs_opt | [
-0.7669869661331177,
0.18223120272159576,
0.0023799361661076546,
-0.3856877088546753,
0.04817343130707741,
-1.0626003742218018,
0.5785079002380371,
0.455674946308136,
0.40172168612480164,
-0.07901760935783386,
-0.5482426285743713,
0.9715650081634521,
0.1081002727150917,
0.00751071050763130... |
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
And the two kidneys, and the fat that is upon them, which is by the flanks, and the caul above the liver, with the kidneys, it shall he take away. | و قربانی خود، یعنی هدیه آتشین را، بجهت خداوند از آن بگذراند، پیهی که احشا رامی پوشاند و تمامی پیهی که بر احشاست. | 0 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
-0.6387704014778137,
0.9094650745391846,
-0.6210525035858154,
-0.1881396770477295,
-0.6274543404579163,
0.5635017156600952,
0.28730034828186035,
1.018801212310791,
0.04528180882334709,
0.1171293705701828,
-0.21334214508533478,
0.9234809875488281,
-1.3001923561096191,
0.7196826338768005,
... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Input: Consider Input: Tagalog sentence: Kapag nag, bilang isang batang tao, nag-iwan ng tahanan para sa kolehiyo o ng trabaho sa ibang lokasyon, sinusunod nito na ikaw ay pagluluto par... | Output: For passenger vehicles, the standards increase by an average of five percent annually from 2017 through 2025.
| 2 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
-0.19250589609146118,
0.5771816968917847,
-0.45636507868766785,
-0.2130412608385086,
0.044206149876117706,
-0.5923494100570679,
0.17557582259178162,
0.4321269094944,
0.35890987515449524,
0.03134210407733917,
0.14031285047531128,
0.49238112568855286,
-1.1942789554595947,
0.04728112369775772... |
Teacher:Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding... | gravity pulls objects towards earth. | 6 | NIv2 | task038_qasc_combined_fact | zs_opt | [
-0.10375978797674179,
0.9173973798751831,
-0.1481221467256546,
-0.3132516145706177,
-0.7093942165374756,
-1.2815783023834229,
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0.5461799502372742,
-0.2916536033153534,
-0.27656790614128113,
-1.31891930103302,
0.6948971152305603,
-0.7116636037826538,
-0.0021475995890796... |
Definition: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Input: بیمارها کاملاً فلج هستند ، و بعد سعی می کنند با سازوکارهای انعاطاف پذیری مغز بهتر بشوند. تا حدی بهبود پیدا می کنند ، برای میمون هم درست همین طور است.
Output: | 患者は完全に麻痺した後脳の可塑性という機構によって回復を目指しある程度までは回復しますサルもまったく同じです | 2 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-0.5313907861709595,
-0.01260097324848175,
0.01584625244140625,
-0.6450644135475159,
-0.25206905603408813,
-0.027546778321266174,
0.6366115808486938,
0.31283241510391235,
1.19559645652771,
-0.34602057933807373,
-0.850092351436615,
0.4443820118904114,
-0.47750675678253174,
0.838770627975463... |
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
One example is below.
Q: Is AUTHOR wrong in the post ? POST : Pretty much was hanging out with two... | no | 9 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
0.30751708149909973,
0.16742351651191711,
-0.1106455847620964,
0.48529672622680664,
0.26178449392318726,
-0.5480892658233643,
0.37676477432250977,
0.2913212180137634,
0.39426764845848083,
-0.32245147228240967,
-0.2749254107475281,
0.23243537545204163,
-0.7169046401977539,
-0.20239970088005... |
Detailed Instructions: In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be ge... | No | 9 | NIv2 | task632_dbpedia_14_classification | zs_opt | [
-0.9512270092964172,
0.5036510229110718,
0.6908047199249268,
-0.22394219040870667,
0.166990727186203,
-0.71054607629776,
0.6064834594726562,
0.8924069404602051,
0.4380040168762207,
0.40712547302246094,
0.7070038318634033,
-0.2064138650894165,
0.007902265526354313,
0.18680348992347717,
0.... |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their,... | What had its power decline after a major military defeat in 1565? | 0 | NIv2 | task001_quoref_question_generation | zs_opt | [
1.255096673965454,
0.7021322250366211,
-0.3161057233810425,
0.1795831322669983,
-0.06355711817741394,
-0.6903616189956665,
0.5834959745407104,
0.883819580078125,
-0.18809957802295685,
-0.7050833702087402,
-0.4658427834510803,
0.33048003911972046,
-1.1969294548034668,
-0.06374405324459076,
... |
Given the task definition and input, reply with output. Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
与党連合の主要メンバー、バリサン・ナシオナル（国家的前線）は、メディア法を改正すること、たとえば物議を醸すとか「反政府的」と評価される資料を公開するブロガーを罰するといったことを提案した... | สมาชิกฝ่ายผู้นำในรัฐบาลผสม พรรคบาริซัน นาซีโอนัล(เดอะ เนชั่นแนล ฟร้อนท์)ได้แนะนำให้แก้ไขกฏหมายควบคุมการสื่อสารการพิมพ์ เช่นให้มีการลงโทษบล็อกเกอร์ที่พิมพ์สิ่งที่ดูเหมือนว่าก่อให้เกิดการโต้แย้งและ "ต้อต้านรัฐบาล" | 5 | NIv2 | task1127_alt_ja_th_translation | zs_opt | [
0.00697916466742754,
-0.3163399398326874,
0.007482051849365234,
0.12348298728466034,
-0.10855701565742493,
-0.19987764954566956,
0.5940068960189819,
0.4763343930244446,
-0.7491414546966553,
0.5611949563026428,
-0.3547289967536926,
0.09988827258348465,
-0.6187863349914551,
0.194232225418090... |
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 English.
[E a historia da Neveira de Absorción Intermitente]
| And the story of the Intermittent Absorption Refrigerator. | 5 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.9452041387557983,
0.9533541202545166,
0.48695695400238037,
-0.4374202489852905,
-0.05648793280124664,
-1.256380558013916,
-0.19965898990631104,
0.6144710779190063,
-0.49286139011383057,
-0.1811579465866089,
-0.016722850501537323,
-0.2527380585670471,
-0.7094063758850098,
0.4617309570312... |
Detailed Instructions: In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Problem:Context: Lee... | True | 8 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.5285611152648926,
0.4502454698085785,
0.3116798996925354,
-0.599900484085083,
-0.11514536291360855,
-0.037016160786151886,
0.21559837460517883,
0.45691296458244324,
0.42934131622314453,
0.3480806052684784,
-0.41762232780456543,
0.16265138983726501,
-0.3758985996246338,
0.117103099822998... |
Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and" is a dialogue exchang... | It spread all the way out here to the Indian Reservation, huh? It was a local story. Didn't know it would be such a big deal. | 9 | NIv2 | task360_spolin_yesand_response_generation | fs_opt | [
0.8050992488861084,
0.8774362206459045,
0.4818989038467407,
0.3287554383277893,
0.24418386816978455,
-1.2147657871246338,
0.498981237411499,
0.8456342220306396,
-0.27284860610961914,
-0.49269044399261475,
-0.9712063074111938,
0.09945788234472275,
-0.8811314105987549,
0.6098893880844116,
... |
Detailed Instructions: Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Q: How is or no make that what is underrepresented in epitope regions?
A: | What is underrepresented in epitope regions? | 9 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.8452401161193848,
0.5576620101928711,
0.8316034078598022,
-0.30569782853126526,
-0.08039038628339767,
-0.5320310592651367,
0.7280334234237671,
0.8454890847206116,
0.2953879237174988,
-0.0767335370182991,
-0.21009406447410583,
-0.5967347025871277,
-1.2240049839019775,
-0.0879568904638290... |
Given the task definition and input, reply with output. Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Is AUTHOR wrong in the post ? POST : I'll ... | no | 5 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt | [
0.05350615829229355,
0.10788054764270782,
0.0455886572599411,
0.5683841705322266,
0.18571436405181885,
-0.6887244582176208,
0.3311440348625183,
0.7516887784004211,
0.34964489936828613,
-0.09435835480690002,
0.6323369145393372,
0.779405951499939,
-0.5105285048484802,
-0.31791818141937256,
... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Example input: A man is spreading shreded cheese on a pizza.
Example output: Un bărbat pune brânză mărunțită pe o pizza.
Example explanation: In the given translation process, the t... | Guvernatorul Linda Lingle și alți demnitari urmează să fie la bază pentru a urmări lansarea. | 3 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.6293967962265015,
0.6951931715011597,
0.5923902988433838,
-0.519517183303833,
-0.02374674193561077,
0.1147853434085846,
1.1881375312805176,
1.0904632806777954,
0.6949727535247803,
-0.4061850905418396,
-0.3907821774482727,
0.9496352672576904,
-0.6432428359985352,
-0.05956745147705078,
... |
Given the task definition, example input & output, solve the new input case.
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 t... | evergreen trees. | 1 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.15831831097602844,
1.1496095657348633,
-0.31992748379707336,
0.3811814785003662,
-0.16229604184627533,
-1.3087632656097412,
0.11153252422809601,
0.9469832181930542,
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0.07401800155639648,
-0.6503408551216125,
0.03160131722688675,
-0.28070396184921265,
-0.2166091501712... |
You will be given a definition of a task first, then some input of the task.
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts... | water easily flows through gourdin. | 1 | NIv2 | task038_qasc_combined_fact | zs_opt | [
-0.1059160977602005,
0.8119782209396362,
-0.2116050124168396,
0.16493846476078033,
0.12759457528591156,
-1.045379400253296,
-0.2929478883743286,
0.8591791391372681,
-0.35335835814476013,
0.29953625798225403,
-1.1518263816833496,
0.4134506583213806,
-0.20409426093101501,
-0.2082464396953582... |
Given the task definition and input, reply with output. We would like you to assess the QUALITY of each of the following argument (discussing Gun Control) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can ... | Valid | 5 | NIv2 | task150_afs_argument_quality_gun_control | zs_opt | [
-0.059646125882864,
0.6593507528305054,
0.4513724446296692,
-0.6959196329116821,
-0.15994003415107727,
-1.4044251441955566,
0.2725648880004883,
0.6663497686386108,
0.38716429471969604,
0.1292385309934616,
-0.573405385017395,
-0.5272428393363953,
-0.4416370391845703,
-0.06219989061355591,
... |
Detailed Instructions: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Y... | Yes | 8 | NIv2 | task227_clariq_classification | zs_opt | [
-0.2251061201095581,
0.5169776082038879,
0.08306951820850372,
0.099200040102005,
0.30509015917778015,
-1.00827157497406,
0.2587733268737793,
0.7764472365379333,
0.3589196801185608,
0.27800920605659485,
0.23268993198871613,
-0.1346997618675232,
-0.2923404574394226,
-0.04561370611190796,
-... |
Given the task definition and input, reply with output. In this task, given a sentence in the English language, your task is to convert it into the Japanese language.
She initially got less points than Romania's Catalina Ponor, but took the bronze after an appeal.
| 彼女は、最初ルーマニアのカタリナ・ポノルより得点が低かったが、抗議の結果、銅メダルを獲得した。 | 5 | NIv2 | task556_alt_translation_en_ja | zs_opt | [
0.11345333606004715,
0.5021138191223145,
-0.049079783260822296,
-0.2712761163711548,
-0.15463870763778687,
-0.04564870893955231,
0.006398940458893776,
-0.04625229164958,
0.5180939435958862,
-0.8562564253807068,
-0.1605263352394104,
0.44591987133026123,
-0.5941082239151001,
0.15659937262535... |
Instructions: 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.
Input: Jennifer Love Hewitt (born February 21, 1979) is an American actress... | Jennifer Love Hewitt born February 21, 1979 is an American actress, television producer and director, singersongwriter and author. | 3 | NIv2 | task192_hotpotqa_sentence_generation | zs_opt | [
0.1556832492351532,
0.3081856071949005,
-0.20935505628585815,
0.5956783890724182,
0.21460320055484772,
0.20561987161636353,
-0.07242941111326218,
0.18824100494384766,
-0.6908224821090698,
0.45847195386886597,
0.4924960732460022,
-0.6303901672363281,
-0.7923835515975952,
-0.2167100459337234... |
Q: You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the paragraph.
This is ... | what is the biggest bridge in the world? | 7 | NIv2 | task1594_yahoo_answers_topics_question_generation | zs_opt | [
0.9535743594169617,
0.21924076974391937,
0.79169100522995,
0.24677467346191406,
0.49642565846443176,
-0.32239437103271484,
-0.4948127567768097,
0.3364647924900055,
-0.597614586353302,
0.11179186403751373,
-0.5971949100494385,
-0.09983145445585251,
-0.668872594833374,
0.007484650705009699,
... |
In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a negativ... | -92.17 | 4 | NIv2 | task095_conala_max_absolute_value | zs_opt | [
0.5055655241012573,
0.44606855511665344,
0.017783518880605698,
0.6095974445343018,
0.17537394165992737,
-0.2307618111371994,
1.0178077220916748,
1.0525000095367432,
0.10939350724220276,
-0.20484337210655212,
-0.22778311371803284,
0.20485734939575195,
0.09350135177373886,
0.1419715881347656... |
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