inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Teacher:Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Teacher: Now, understand the problem? Solve this instance: Question1: Can I combine the output of two bolts into one bolt in Apache Storm using shuffle grouping? If yes, How,... | Yes | 6 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
0.6254371404647827,
0.6740576028823853,
-0.5553874969482422,
0.5718778371810913,
-0.20230776071548462,
-0.6065347194671631,
0.6830407977104187,
0.3469562828540802,
-0.3633098602294922,
-0.439844012260437,
-0.032977499067783356,
0.21226774156093597,
-0.3929992616176605,
-0.1053236797451973,... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
One example: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です
Solution is here: Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.
Expl... | Para hacer la crónica de una vida año tras año vulnerable debería sujetar y conectar a tierra lo que era fugaz, darme a mí mismo y a los demás una mirada hacia el futuro, ya bien lo logremos o no. | 6 | NIv2 | task1223_ted_translation_ja_es | fs_opt | [
-0.4723684787750244,
0.7572313547134399,
-0.23252838850021362,
-0.8441535234451294,
-0.3166137933731079,
-0.4603720009326935,
0.06486400961875916,
0.651462197303772,
-0.2250889539718628,
-0.3818567991256714,
-0.3182557225227356,
-0.06539258360862732,
-1.1397058963775635,
-0.347990840673446... |
Instructions: You are given a negative review and your task is to convert it to a positive review by one or more making minimal changes. Avoid changing the context of the review.
Input: exhibit c : no more student services peeps .
Output: | exhibit c : i would like more student service peeps | 3 | NIv2 | task927_yelp_negative_to_positive_style_transfer | zs_opt | [
-0.8658746480941772,
0.6640576124191284,
-0.7599614858627319,
-0.17274552583694458,
-0.3441101312637329,
-0.042296119034290314,
0.3819528818130493,
0.6911234855651855,
0.5158484578132629,
0.28851431608200073,
0.07845772057771683,
-0.11608810722827911,
0.5185325145721436,
-0.496863275766372... |
In this task, you are given a hateful post in English from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Example: Post: Stop tweeting about your boyfr... | Solution: Individual | 5 | NIv2 | task337_hateeval_classification_individual_en | fs_opt | [
-1.1249521970748901,
0.2553759813308716,
0.8657875061035156,
-0.4310741126537323,
0.14615090191364288,
-0.9304636716842651,
0.4426480531692505,
0.17458942532539368,
-0.028308143839240074,
0.14973856508731842,
-0.23384547233581543,
0.172112837433815,
-0.1964595913887024,
-0.4734252095222473... |
Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Q: Pls plant more trees
A: | Not in Expected Language | 4 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
-0.759402871131897,
-0.1562652587890625,
0.5391386151313782,
0.6597343683242798,
-0.40936923027038574,
-1.3650856018066406,
-0.2189527004957199,
0.5377106666564941,
-0.5354801416397095,
0.4788285791873932,
0.011210257187485695,
0.005573100410401821,
-0.19360844790935516,
-0.359985470771789... |
Definition: In this task, you need to count the number of times the given letter appears in the given sentence.
Input: Sentence: 'a man holding a brown paper bag kite'. Find frequency of the letter 'b'
Output: | 2 | 2 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.34105563163757324,
0.31039491295814514,
-0.7838982343673706,
-0.9472500681877136,
0.0039895325899124146,
-0.0996631383895874,
0.3346198499202728,
0.9080839157104492,
-0.17900969088077545,
0.3876555562019348,
-0.967544674873352,
-0.030830562114715576,
0.19924135506153107,
0.1802306771278... |
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 deter... | Yes
| 0 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.7862205505371094,
-0.6110891103744507,
0.426818311214447,
-0.06234186515212059,
-0.032346226274967194,
-1.1059315204620361,
1.3793729543685913,
0.9459397792816162,
-0.9719403982162476,
-0.27166372537612915,
-0.6693494319915771,
-0.33862125873565674,
-0.8750754594802856,
0.159736111760139... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? ... | purpose
| 3 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.2195313572883606,
0.4929552972316742,
-0.2946111857891083,
-0.13521118462085724,
0.110375314950943,
0.5479874610900879,
-0.029871467500925064,
0.9554108381271362,
-0.008069150149822235,
0.2640058398246765,
-0.1569005399942398,
0.11801008880138397,
-0.19305181503295898,
0.092501819133758... |
Detailed Instructions: In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line characte... | Answerable | 8 | NIv2 | task290_tellmewhy_question_answerability | zs_opt | [
-0.4233071208000183,
0.15094022452831268,
0.6865905523300171,
0.1045270636677742,
-0.6372337341308594,
-0.8255165815353394,
0.8801251649856567,
0.3089471459388733,
0.2389928549528122,
0.0924837589263916,
-0.1657695174217224,
-0.015177297405898571,
-0.6383206248283386,
0.24883590638637543,
... |
Teacher:You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Teacher: Now, understand the problem? Solve this instance: Personality: I am six feet... | Does he like school too? I like school a lot. | 6 | NIv2 | task1730_personachat_choose_next | zs_opt | [
0.12819471955299377,
0.3770420551300049,
-0.23803049325942993,
-0.20827805995941162,
-0.2427268922328949,
-0.16785463690757751,
0.8516926765441895,
0.43556761741638184,
-0.46645689010620117,
-0.32720494270324707,
-0.3814701735973358,
0.2074146568775177,
-0.5733960866928101,
-0.238308101892... |
You will be given a definition of a task first, then some input of the task.
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that partic... | No emotion,No emotion,surprise,No emotion,No emotion,No emotion | 1 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.41970986127853394,
0.3408571481704712,
0.045038267970085144,
-0.39462417364120483,
0.2922908663749695,
0.07136345654726028,
0.9475411772727966,
-0.14814794063568115,
0.054625920951366425,
-0.3180977702140808,
-0.06112149357795715,
-0.44750815629959106,
-0.6361713409423828,
0.75783562660... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Example Input: Title: Book Report Speech. Sentence 1: Warr... | Doug couldn't believe he hadn't known about the park before.
| 3 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
0.12187523394823074,
1.0148890018463135,
-0.44086596369743347,
-0.7206517457962036,
-0.19364817440509796,
0.25650322437286377,
0.2188907265663147,
1.226393699645996,
0.49442392587661743,
-0.13362987339496613,
-0.48887813091278076,
0.22399522364139557,
-0.016622066497802734,
-0.292871922254... |
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.
[Q]: ['4841', '8863', '173', 'Y', 'q', 'k', '6523', 'z', 'A', '3359', 'W', 'Q', '... | 17
| 5 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
-0.06175914779305458,
0.07308624684810638,
-0.2523043155670166,
-0.4807876944541931,
-0.1776483952999115,
-0.5830292701721191,
0.7170653343200684,
0.40111052989959717,
-0.7187814712524414,
0.5667629837989807,
-0.30438560247421265,
0.537816047668457,
0.023642120882868767,
0.1275357007980346... |
A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with the list of its ... | 0
| 0 | NIv2 | task090_equation_learner_algebra | fs_opt | [
0.6244351863861084,
0.658097505569458,
-0.7484115362167358,
-0.3339819312095642,
-0.07717444002628326,
-0.31611502170562744,
0.8648109436035156,
0.9626621603965759,
-0.14831960201263428,
-0.8292766213417053,
-0.724022388458252,
0.6561809778213501,
-1.0294239521026611,
-0.08197171986103058,... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'... | Yes | 1 | NIv2 | task298_storycloze_correct_end_classification | fs_opt | [
0.27428197860717773,
0.4721618890762329,
-0.06071068346500397,
0.3748760223388672,
0.17501188814640045,
-0.7513836622238159,
0.02284366637468338,
1.1325302124023438,
-0.0016030063852667809,
0.16747233271598816,
-0.17899154126644135,
-0.23665115237236023,
-0.6798120737075806,
0.162084102630... |
You will be given a definition of a task first, then some input of the task.
Translation from English to Telugu.
I changed you into a fresh shirt and left you in your pants and your drawers from last night, it's all the same to you, sir.
Output: | నేను ఒక తాజా చొక్కా లోకి మీరు మార్చబడింది మరియు మీ ప్యాంటు మరియు గత రాత్రి నుంచి మీ సొరుగు లో మీరు ఎడమ, సర్, మీరు ఒకే ఉంది. | 1 | NIv2 | task1330_open_subtitles_en_te_translation | zs_opt | [
-0.3542907238006592,
0.7662079334259033,
-0.6587940454483032,
0.7590107917785645,
0.24519184231758118,
-0.7384967803955078,
0.1532658338546753,
0.3914153575897217,
0.03009101003408432,
-0.15242519974708557,
-0.3640366792678833,
-0.005280502140522003,
-0.6046105027198792,
0.1836372017860412... |
Detailed Instructions: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts ca... | No | 8 | NIv2 | task609_sbic_potentially_offense_binary_classification | zs_opt | [
-0.34651196002960205,
0.16012020409107208,
0.5960275530815125,
0.41679123044013977,
0.3736920952796936,
-0.20387709140777588,
0.24022828042507172,
0.35082927346229553,
0.12472479790449142,
0.0495222806930542,
-0.4142482876777649,
-0.06292854249477386,
-0.49875107407569885,
-0.7356939315795... |
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... | clouds.
****
| 4 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.7480016946792603,
0.731793999671936,
-0.4554803967475891,
0.20432013273239136,
0.10008564591407776,
-2.0918262004852295,
0.001250909874215722,
0.8766521215438843,
-0.7475374341011047,
0.3943120837211609,
-0.5295631885528564,
0.16113705933094025,
-0.40300291776657104,
0.2936035990715027,
... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the resu... | [126, -354, -10.5, -298, 22.0] | 1 | NIv2 | task368_synthetic_even_or_odd_calculation | zs_opt | [
-0.8612872362136841,
0.7405027151107788,
-0.0007305649342015386,
-0.054962821304798126,
0.21137821674346924,
0.20345160365104675,
1.0469293594360352,
-0.05101693794131279,
-0.012485109269618988,
0.26471561193466187,
-0.48795557022094727,
-0.5016173124313354,
-0.3495005965232849,
-0.2944845... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Problem:"" Deem-nos a novidade, "" estamos sempre a dizer.
Solution: | "" תנו לנו את החדש, "" אנחנו תמיד אומרים. | 8 | NIv2 | task1278_ted_translation_pt_he | zs_opt | [
0.01915130577981472,
0.5427654385566711,
0.05989329516887665,
-0.052801042795181274,
-0.5395879745483398,
-0.5517702698707581,
0.39080098271369934,
0.13680025935173035,
1.1962449550628662,
0.12445197999477386,
-0.5465449094772339,
0.08539865911006927,
-1.1256623268127441,
0.584652185440063... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Daqui a cerca de 5 biliões de anos, o nosso sol tornar-se-á uma gigante vermelha, tão grande como a órbita da Terra, e a nossa Terra será destruída, e daqui a 1000 biliões de anos, se a energia escura continuar a ali... | And third is the existence of a previously unsatisfied need.
| 0 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
0.09038464725017548,
1.4440752267837524,
-0.23875215649604797,
-0.41930490732192993,
-0.9027416110038757,
-0.4456803798675537,
-0.24089315533638,
1.0984916687011719,
0.028806257992982864,
0.40222489833831787,
-0.3396749496459961,
0.2965986132621765,
-0.34920305013656616,
-0.579449415206909... |
Teacher:In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'onesev... | 57085064889 | 6 | NIv2 | task1443_string_to_number | zs_opt | [
0.10527434945106506,
0.5175354480743408,
-0.2728060483932495,
-1.0842607021331787,
-0.14802241325378418,
-0.7734649777412415,
0.7107018232345581,
0.6474711894989014,
-0.09512971341609955,
-0.4245348572731018,
-0.4663656949996948,
0.33925819396972656,
-1.4544925689697266,
-0.616847097873687... |
Given the task definition and input, reply with output. 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.
...う〜ん . メカニカルアニマルズのアルバムの曲が大好きだっ... | NEG | 5 | NIv2 | task487_cls_japanese_music_classification | zs_opt | [
-0.768623948097229,
-0.06822236627340317,
-0.061260201036930084,
0.41005739569664,
0.18600675463676453,
-0.7342294454574585,
0.7741346955299377,
0.24168649315834045,
-0.010114812292158604,
0.2811553478240967,
-0.8729609251022339,
-0.44912976026535034,
-0.07298190891742706,
0.21747252345085... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to replace a letter in the sentence with another given letter.
Sentence: 'there is a camera and a banana on top of a rock'. Replace the letter 'r' with 'a' in the sentence.
Output: | theae is a cameaa and a banana on top of a aock | 1 | NIv2 | task160_replace_letter_in_a_sentence | zs_opt | [
0.16052308678627014,
0.8679466247558594,
0.04202008619904518,
0.2782163619995117,
0.34065574407577515,
0.2832407057285309,
0.6905204057693481,
0.7373205423355103,
-0.23491060733795166,
-0.7567348480224609,
-0.08642692863941193,
-0.3797369599342346,
-0.5457428693771362,
0.10406405478715897,... |
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.
--------
Question: Comment: There is more and more evidence that Trump... | Non-sexual-explicit
| 7 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.9543628692626953,
-0.25467708706855774,
0.33250880241394043,
0.2877560257911682,
0.09019812941551208,
-0.5596014857292175,
0.16311752796173096,
0.6677732467651367,
0.24749571084976196,
0.5247782468795776,
0.1960088312625885,
0.19095709919929504,
0.19595538079738617,
-0.8548586368560791,... |
Detailed Instructions: In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Q: Context: The is a home video game console released by Sega on November 2... | racing video game | 9 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.6699538230895996,
-0.02320166677236557,
-0.40040385723114014,
0.09953249990940094,
0.2777543067932129,
0.16497573256492615,
0.8757649660110474,
1.218008041381836,
-0.02598067745566368,
0.4740653336048126,
0.6827940940856934,
0.8438143730163574,
-0.27663105726242065,
0.05994371697306633,
... |
Instructions: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Input: Context: Born in what is... | Answer: opera | 3 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
-0.29469791054725647,
1.0294668674468994,
-0.7319768667221069,
0.12579883635044098,
-0.18288461863994598,
0.44649940729141235,
0.5744961500167847,
0.811359167098999,
0.5938989520072937,
-0.17181098461151123,
0.12383709847927094,
-0.15023642778396606,
-0.386902391910553,
-0.4916772842407226... |
You are given a statement written in Panjabi. 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 Input:
Statement: ਸੜਕ ੩੯ <MASK> ਦੀ ਇਕ ਸੜਕ ਹੈ, ਜੋਕਿ ਐਕਸਪ੍ਰੈੱਸ ਵੇ ਹੈ। ਇਹ ਅਹਵਾਜ਼ ਨੂੰ ਆਬਾਦਾਨ ਨਾਲ ਜੋੜਦਾ ਹੈ। ਆਬਾਦਾਨ... | ਭਾਰਤ
| 1 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.018362853676080704,
0.09619984030723572,
0.34619852900505066,
0.09057865291833878,
-0.4745582938194275,
-0.4682079553604126,
0.3244200348854065,
0.3863954246044159,
0.3583044707775116,
0.5670645236968994,
-0.8440260887145996,
0.2848646640777588,
0.3392629623413086,
-0.40348881483078003,
... |
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 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-... | Non-sexual-explicit | 0 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.8955082893371582,
-0.11620117723941803,
0.2858576476573944,
0.45069950819015503,
0.1205856129527092,
-0.18960097432136536,
0.48964208364486694,
0.95591801404953,
0.0520804300904274,
0.7011775970458984,
0.4810178875923157,
-0.1419065296649933,
0.3230093717575073,
-0.786608099937439,
0.... |
instruction:
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 can also be boolean \*yes\* or \*no\*.
question:
when is strictly ... | 12
| 9 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.5755084753036499,
0.8820263147354126,
0.13802897930145264,
0.07075173407793045,
-0.5473601818084717,
-0.1534879058599472,
0.5970599055290222,
0.33191657066345215,
-0.622228741645813,
0.32112398743629456,
-0.4327821433544159,
0.4662589728832245,
-1.0649528503417969,
-0.025711901485919952... |
You will be given a definition of a task first, then some input of the task.
You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process ca... | swirl it into fish sauce for a flavorful garnish | 1 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
-0.09148040413856506,
0.612025797367096,
-0.2672044634819031,
0.6375604867935181,
-0.1354331523180008,
-0.3596251606941223,
0.5315808057785034,
0.5613613724708557,
-0.10747057944536209,
0.5116631388664246,
0.26702284812927246,
-0.286944717168808,
-0.06688438355922699,
-0.290750652551651,
... |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
[Q]: Loved the shirt. Fit was as expected, not too tight or loose. First time I wore it, after a few hours, I noticed that there were holes where t... | negative
| 5 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
0.5762261748313904,
-0.08083251118659973,
-0.12073305994272232,
-0.25861072540283203,
0.03380630537867546,
-0.3767746388912201,
0.8031466603279114,
0.7032742500305176,
0.2941429615020752,
0.3989022970199585,
0.01304837130010128,
-0.27540773153305054,
-0.9157315492630005,
-0.380497455596923... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Example input: życiu stawić czoła Granicę przekrocz "" Będziesz wolna "", już ktoś tam woła. Kobiety nadziei Kobiety zmian Kobiety wojny i bólu Czuję waszą siłę tak ona powiedziała Jeśli czujesz się bezsilna, pomóż komuś Jeśl... | כבני-אדם אנו מתייחסים לבריאותנו במונחים של הכנות לקראת העתיד. | 3 | NIv2 | task1260_ted_translation_pl_he | fs_opt | [
-0.4964528977870941,
0.4962542653083801,
-0.3658772110939026,
-0.2247907817363739,
-0.23350685834884644,
-1.1364107131958008,
1.414435625076294,
0.1579560935497284,
0.863726794719696,
-0.7284693717956543,
-0.9395138025283813,
0.9521427750587463,
-1.1694642305374146,
-0.0967785120010376,
... |
You will be given a definition of a task first, then some input of the task.
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 cor... | True | 1 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.010584120638668537,
0.708603024482727,
0.41166964173316956,
-0.34407827258110046,
-0.05403663590550423,
0.03860735893249512,
1.0991710424423218,
0.560836672782898,
0.7149716019630432,
-0.19615709781646729,
-0.7540026903152466,
-0.2902246415615082,
-0.1345367729663849,
0.1550028324127197... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Q: Ora la cosa che colpisce è che gli psicologici sanno di questo già da 30 anni.
A: | Uderzający jest fakt, że psychologowie wiedzieli o tym od 30 lat. | 4 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
-0.2540709972381592,
0.608262300491333,
-0.2057645469903946,
-0.5634794235229492,
-0.4353826642036438,
-1.1225242614746094,
0.8333069086074829,
-0.22166995704174042,
0.8467633128166199,
-0.3933815360069275,
0.10635631531476974,
1.0976790189743042,
-0.45499512553215027,
0.03301830217242241,... |
Given the task definition and input, reply with output. In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) a... | aggregation | 5 | NIv2 | task212_logic2text_classification | zs_opt | [
-0.05393844470381737,
-0.31167998909950256,
-0.13974878191947937,
0.3175007700920105,
0.45789963006973267,
-0.33756738901138306,
0.6405643820762634,
0.5005266666412354,
0.46430373191833496,
-0.07466880977153778,
-0.18473991751670837,
0.15717922151088715,
-0.021934760734438896,
0.5484037399... |
Q: In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
A car is a musical instrument
(A) Car horns are rare... | B | 7 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | zs_opt | [
-0.10853260010480881,
0.45385363698005676,
-0.9831141829490662,
0.6773182153701782,
-0.304841548204422,
-0.8749645948410034,
0.18869397044181824,
0.22763076424598694,
-0.22735187411308289,
0.031438566744327545,
-0.06335817277431488,
-0.05467420816421509,
0.4211317300796509,
-0.981515526771... |
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.
Q: Category: CLASSIC LITERATURE
Clue: "Did I request thee, maker, from my clay to mould me man... | frankenstein | 4 | NIv2 | task307_jeopardy_answer_generation_final | zs_opt | [
-0.6952947378158569,
0.9260380268096924,
0.2113070785999298,
-0.6448904871940613,
0.07580684870481491,
-0.783772349357605,
0.5207265615463257,
-0.31498730182647705,
0.46938595175743103,
-0.2764907479286194,
-0.5409010052680969,
-0.03724603354930878,
-1.1606202125549316,
0.28270038962364197... |
Q: In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Text: yesterday i decided to donate blood because there was a bad accident on the freeway near my hous... | gave blood to blood bank, went to work next day, passed out on a walk and nearly lost client. | 7 | NIv2 | task511_reddit_tifu_long_text_summarization | zs_opt | [
-0.40611976385116577,
0.05623660236597061,
0.3389120101928711,
-0.23824220895767212,
0.46852463483810425,
-0.4194613993167877,
0.7157089114189148,
0.8170102834701538,
0.3375604450702667,
-0.1778492033481598,
0.2919142544269562,
-0.9414594173431396,
-0.6449241638183594,
0.21780116856098175,... |
Detailed Instructions: In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Q: Hath not the story reached them of those before them?- the People of Noah, and 'Ad, and Thamud; the People of Abraham, the men of Midian, and the cities overthrown. To them came the... | آیا خبر کسانی که پیش از آنان بودند به اینان نرسیده؟ خبر قوم نوح و عاد و ثمود و قوم ابراهیم و اصحاب مدین و شهرهای زیر و رو شده [قوم لوط] که پیامبرانشان برای آنان دلایل روشن آوردند [ولی نپذیرفتند]؛ خدا بر آن نبود که به آنان ستم ورزد، ولی آنان بودند که همواره بر خود ستم میکردند. | 9 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.5563029050827026,
0.6968725919723511,
0.10356323421001434,
-1.1713645458221436,
-0.17046184837818146,
-0.8654090166091919,
1.042737364768982,
0.2862374782562256,
-0.37266916036605835,
0.44454503059387207,
-0.0330878421664238,
0.31569570302963257,
-0.9458218216896057,
-0.3217889070510864... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
و در زیراسکن میکروسکوپ الکتریکی ، مینونید سطح آن را در اینجا ببینید — واقعا "" خیلی متفاوت با سطوح دیگریست که دیدیم.
| 走査型電子顕微鏡を使うと表面はこんな感じに見えます甲虫の表面とはずいぶん違います | 5 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-0.7591739892959595,
0.04504212364554405,
0.3178792893886566,
-0.43675434589385986,
-0.0602940171957016,
0.21828243136405945,
0.451674222946167,
-0.27249348163604736,
0.935266375541687,
0.046478599309921265,
-0.32977959513664246,
0.563123345375061,
-0.5956233739852905,
0.8825384974479675,
... |
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 deter... | Solution: Yes | 5 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.22909194231033325,
-0.21666112542152405,
0.31437796354293823,
0.31345275044441223,
-0.20995350182056427,
-0.8665838241577148,
0.6560433506965637,
0.7693341374397278,
-0.7586981058120728,
-0.18100512027740479,
-0.3989536762237549,
-0.3303341269493103,
-0.7141900062561035,
-0.0166514292359... |
Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: و با فیس و افاده راه می رن و سنگ پرانی می کنند.
Student: | Y ellos se pavonean y tiran rocas. | 6 | NIv2 | task1267_ted_translation_fa_es | zs_opt | [
-0.1785532534122467,
0.6771769523620605,
-0.25366201996803284,
-0.700653076171875,
-0.5385304093360901,
-0.050594575703144073,
0.4597705006599426,
0.9377354383468628,
0.489920437335968,
-0.7089650630950928,
-0.019212864339351654,
0.9263338446617126,
-0.27544403076171875,
-0.314148604869842... |
Detailed Instructions: In this task your given two statements in Chinese. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Q: 当我呼出时，我看到了我的呼吸。
天气很冷。
A: | cause | 9 | NIv2 | task1185_xcopa_commonsense_cause_effect_zh | zs_opt | [
-0.4445435404777527,
-0.09739793092012405,
-0.24441778659820557,
-0.9330497980117798,
-0.044026728719472885,
-0.16898760199546814,
-0.2522841989994049,
0.7299585342407227,
0.20532570779323578,
0.0910767912864685,
-0.35685017704963684,
-0.17424261569976807,
-0.3706154227256775,
0.5558747649... |
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
[Q]: Problem: the average weight of a group of persons increased from 48 k... | d
| 5 | NIv2 | task1678_mathqa_answer_selection | fs_opt | [
0.5600746273994446,
0.39235007762908936,
-0.6050616502761841,
-0.5392211079597473,
0.15237244963645935,
-0.6299737095832825,
0.35182905197143555,
0.3583780527114868,
-0.3215952515602112,
0.4982626736164093,
-0.32400333881378174,
0.08967669308185577,
-0.28626522421836853,
-0.388158261775970... |
In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a d... | Airplane coming in to land on a tarmac | 4 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.06164814159274101,
0.14308395981788635,
-0.3390893340110779,
-0.71110600233078,
-0.03350675106048584,
-0.5607215166091919,
0.5332193374633789,
0.9482477903366089,
-0.5142822861671448,
0.5511797666549683,
-0.9478025436401367,
-0.04577142000198364,
-0.27841728925704956,
-0.020264372229576... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given reviews of various products in multiple languages. Domain is English - en, Japanese - ja, German - de, French - fr, Chinese - zh, Spanish - es. Given a review you need to predict the language in which it was written ... | fr | 1 | NIv2 | task1574_amazon_reviews_multi_language_identification | fs_opt | [
-0.5298188328742981,
0.3715830445289612,
0.2313033640384674,
0.11019465327262878,
0.36612093448638916,
0.024445317685604095,
0.18681427836418152,
0.7784258127212524,
-0.5883407592773438,
-0.1853581964969635,
-0.36992090940475464,
0.3244519829750061,
0.07413647323846817,
-0.148019939661026,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
2019 E... | Nigeria | 0 | NIv2 | task612_yorubabbc_classification | fs_opt | [
0.3697783946990967,
-0.07429227232933044,
0.041992977261543274,
0.5809807777404785,
-0.010588837787508965,
-0.23887601494789124,
0.39372265338897705,
0.16253319382667542,
0.33029234409332275,
0.191244974732399,
-0.4838467836380005,
-0.1334724873304367,
-0.6175424456596375,
0.41366797685623... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to u... | I decide to buy a balloon >Causes/Enables> I buy the balloon
****
| 4 | NIv2 | task614_glucose_cause_event_detection | fs_opt | [
0.3870774507522583,
0.6993354558944702,
-0.6964858770370483,
0.5800554752349854,
0.2509400248527527,
-1.242226481437683,
0.04716929420828819,
0.4915921092033386,
0.11557955294847488,
-0.04239847511053085,
-0.2842522859573364,
0.7178376913070679,
-0.7753235101699829,
0.013878378085792065,
... |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Q: First it is an okay book and I did finish it. It is not one of his best but the story lin... | Bad review | 4 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.7434462308883667,
0.33744725584983826,
0.2109593152999878,
-0.5658798813819885,
0.12653973698616028,
-0.41110315918922424,
0.8478869199752808,
0.20692677795886993,
-0.2953425347805023,
0.4259389638900757,
-0.34457963705062866,
0.16171881556510925,
-0.6762057542800903,
-0.078271828591823... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Let me give you an example: Preheat oven to 375 degrees., Boil syrup, sugar and shortening over medium heat, stirring constantly., Remov... | ground beef, tomato sauce, taco seasoning, corn chips, pinto beans, Cheddar cheese | 8 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.41821813583374023,
0.042979128658771515,
0.015815604478120804,
0.7325402498245239,
0.06851767003536224,
0.4241061806678772,
0.054166510701179504,
0.9190027713775635,
-0.685709536075592,
0.10947161912918091,
0.3755052089691162,
-0.08909934759140015,
-0.045093636959791183,
-0.3209533691406... |
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: Consider Input: 今日発表された以上に深刻な保険制度への脅威はなかった。
Output: Tidak ada ancaman yang lebih serius terhadap sistem kesehatan kami dari pada ... | Output: Beberapa ahli ilmu tumbuh-tumbuhan menetapkannya bersama dengan hampir lusinan tanaman lainnya atau kira-kira seperti itu.
| 2 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
-0.21065296232700348,
0.6044182777404785,
-0.15337985754013062,
-0.5614863634109497,
-0.24381102621555328,
-0.692871630191803,
0.4453980028629303,
0.05570486932992935,
0.3389846086502075,
-0.04230523854494095,
-1.2388355731964111,
0.9585896134376526,
-1.1488332748413086,
-0.150168299674987... |
Definition: 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.
Input: Alexis locked up the office door and headed to her room.
Output: | Plural | 2 | NIv2 | task430_senteval_subject_count | zs_opt | [
-0.9410429000854492,
0.7489461898803711,
-0.18700328469276428,
-0.35696566104888916,
-0.7420321106910706,
0.26419299840927124,
0.6815599203109741,
-0.7898061275482178,
0.48717647790908813,
-0.245117649435997,
-0.4666141867637634,
0.18277902901172638,
-0.29769018292427063,
0.399797618389129... |
Detailed Instructions: You are provided with an arithmetic question. Your task is to compute the solution using the given arithmetic operations. The only arithmetic operators needed to answer the questions are'+'(addition) and'-'(subtraction). The answer should be correct to one decimal place.
See one example below:
Pr... | 66.0 | 4 | NIv2 | task745_ai2_arithmetic_questions_arithmetic | fs_opt | [
0.6107882261276245,
0.47479480504989624,
-0.5765783786773682,
-0.6488267183303833,
-0.26143306493759155,
-0.5944058895111084,
0.4806629717350006,
0.9063053131103516,
0.07621964812278748,
0.2957003116607666,
-0.16960589587688446,
0.6919255256652832,
-1.1880297660827637,
0.47231343388557434,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a 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 opti... | சென்னை | 0 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | fs_opt | [
0.562018632888794,
0.4780288338661194,
-0.5361273288726807,
0.24062024056911469,
0.4636085033416748,
-0.002824329072609544,
0.6771091222763062,
0.6095350980758667,
0.37301409244537354,
0.336559534072876,
-0.03260834515094757,
0.2897658348083496,
-0.39584511518478394,
-0.2940443158149719,
... |
Instructions: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Input: And the waters returned, and covered the chariots, and the horsemen, and all the host of Pharaoh that came into the sea after them; there remained not so much as one of them.
Output: | واسرائیل آن کار عظیمی را که خداوند به مصریان کرده بود دیدند، و قوم از خداوند ترسیدند، و به خداوند و به بنده او موسی ایمان آوردند. | 3 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
0.2510039806365967,
0.7746855020523071,
-0.6380187273025513,
-0.4512070119380951,
-0.5824093818664551,
-0.9381184577941895,
1.023014783859253,
0.6819896101951599,
-0.2607611417770386,
0.03627050668001175,
-0.14912539720535278,
0.28204262256622314,
-0.5588942170143127,
-0.3211425542831421,
... |
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example Input: English: This past Tuesday, a United States federal judge ordered the popu... | Yes
| 3 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.0140143521130085,
-0.09610139578580856,
-0.06061839312314987,
0.6429148316383362,
-0.3452388048171997,
-0.5983120203018188,
0.11799619346857071,
0.5029513835906982,
-0.8604171276092529,
-0.22623947262763977,
0.15206991136074066,
0.6508756875991821,
-0.21196919679641724,
0.00462559657171... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Así fue. | Sì. | 0 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
0.28656935691833496,
1.1319317817687988,
-0.26526331901550293,
0.23519743978977203,
-0.23232078552246094,
-0.20913781225681305,
0.5162676572799683,
1.8348486423492432,
0.406826913356781,
-0.0423261895775795,
0.06652361154556274,
0.11600032448768616,
-0.19766831398010254,
0.2062576711177826... |
Definition: In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the end sentence choices from (A) and (B), such that the story does not sound complete and coherent, i.e., select an incorrect end sente... | A | 2 | NIv2 | task297_storycloze_incorrect_end_classification | zs_opt | [
-0.4537651836872101,
0.5518589019775391,
0.1492065191268921,
-0.6208693981170654,
-0.15945744514465332,
-0.2777002155780792,
0.14228813350200653,
0.7547385692596436,
0.07274189591407776,
-0.06166543439030647,
-0.9256045818328857,
-0.19371095299720764,
0.0057528517208993435,
-0.112155638635... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Q: También aprenden a seguir la mirada de la gente, porque lo que sea que la gente esté mirando
A: | Eles também aprendem a seguir o olhar das pessoas, porque aquilo para onde as pessoas estão a olhar é | 4 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
0.025072980672121048,
1.095390796661377,
0.04336794465780258,
-1.3132895231246948,
-0.21767663955688477,
-0.8979241251945496,
-0.8260070085525513,
0.9856895208358765,
0.4371938705444336,
-0.5232114791870117,
-0.529187798500061,
-0.38752150535583496,
-0.3185008466243744,
0.6327874660491943,... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Let me give you an example: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です
The answer to this example can be: Es una lucha interna, una lucha en contra del vicio, el pecado, la tenta... | Estas decisiones son claramente un reflejo de la política del Actor. | 8 | NIv2 | task1223_ted_translation_ja_es | fs_opt | [
-0.46430814266204834,
0.6166343688964844,
-0.4674954414367676,
-0.2204279601573944,
-0.6331337094306946,
-0.11964577436447144,
0.048516083508729935,
0.5142848491668701,
0.0023709284141659737,
-0.38320574164390564,
-0.14432430267333984,
-0.3051982820034027,
-1.2809727191925049,
-0.446489155... |
Detailed Instructions: In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recip... | ham | 9 | NIv2 | task109_smsspamcollection_spamsmsdetection | zs_opt | [
-0.5033957958221436,
-0.09453582763671875,
0.8253381252288818,
-0.8042030334472656,
0.1035577654838562,
-0.7684718370437622,
0.21257473528385162,
0.04221395403146744,
-0.3541060984134674,
0.49245649576187134,
-0.053803395479917526,
0.27933526039123535,
-0.11191762238740921,
-0.385869085788... |
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 question (do not include sente... | 1, 2. | 8 | NIv2 | task049_multirc_questions_needed_to_answer | fs_opt | [
0.37774282693862915,
0.5393989086151123,
-0.40114206075668335,
-0.5256182551383972,
0.24482868611812592,
-0.5475198030471802,
0.7227842211723328,
0.9648228883743286,
0.13154171407222748,
0.06087034195661545,
-0.667044997215271,
0.9273281693458557,
-1.038492202758789,
-0.21431177854537964,
... |
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.
Example input: [-83, 53, -48, 8]
Example output: [-80, 50, -50, 10]
Example explanation: The output correctly rounds each integer in the inpu... | [960, -650, -360, -90, -740, 140] | 3 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.7741148471832275,
0.5540719032287598,
-0.30981963872909546,
-0.30523237586021423,
-0.3818930983543396,
-0.4051986038684845,
1.131225347518921,
-0.012688949704170227,
-0.35232168436050415,
0.4334922730922699,
-0.5107204914093018,
0.017990179359912872,
-0.36222612857818604,
0.260075420141... |
instruction:
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statemen... | greater { hop { filter_eq { all_rows ; nation ; south korea } ; bronze } ; hop { filter_eq { all_rows ; nation ; estonia } ; bronze } }
| 9 | NIv2 | task210_logic2text_structured_text_generation | fs_opt | [
0.435705304145813,
-0.08084947615861893,
-0.43044430017471313,
0.43927881121635437,
0.37805306911468506,
-0.47587642073631287,
0.47132211923599243,
0.3045324683189392,
-0.0919521152973175,
-0.2851574420928955,
-0.510586142539978,
-0.06284917145967484,
-0.10698773711919785,
0.45902013778686... |
In this task your given two statements in Thai. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Example Input: ผู้ชายถูุกปล่อยตัวจากเรือนจำ
ครอบครัวเขาจ่ายค่าประกัน... | cause
| 3 | NIv2 | task1179_xcopa_commonsense_cause_effect_th | fs_opt | [
-0.43166738748550415,
0.2154432237148285,
-0.11972402781248093,
-0.337144672870636,
-0.16562700271606445,
-0.2608270049095154,
0.3447384238243103,
1.4091315269470215,
0.2046336531639099,
-0.23564296960830688,
-0.8632959127426147,
0.2376677691936493,
-0.4726226031780243,
0.12468606233596802... |
In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that... | True
| 7 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
0.36804434657096863,
-0.2933987081050873,
0.007075840141624212,
0.6612741947174072,
0.3730703592300415,
-0.12662625312805176,
0.8844377398490906,
0.8752496242523193,
-0.38949671387672424,
0.4203737676143646,
-0.6902955770492554,
-0.011379720643162727,
-0.9020412564277649,
-0.39929082989692... |
Q: In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ .
(CNN) "Pressure... | Burkina Faso now only needs to beat unfancied _-Bissau for a place in the knockout stages, while Gabon faces a daunting clash against African heavyweight Cameroon. | 7 | NIv2 | task301_record_question_generation | zs_opt | [
0.47584065794944763,
0.5217584371566772,
-0.3587174415588379,
-0.8439188599586487,
0.7018654346466064,
-0.27087685465812683,
0.7012298107147217,
0.7453146576881409,
-0.2789636254310608,
0.11453849822282791,
-0.9393535852432251,
0.36834821105003357,
-0.8558622002601624,
0.0744030773639679,
... |
Detailed Instructions: You are given a sentence and your task is to generate another sentence that supports the given input.
Q: It is assumed that prokaryotic cells arising from a single colony are genetically identical since they reproduce via binary fission (a form of asexual reproduction).
A: | Prokaryotic organisms reproduce asexually through binary fission. | 9 | NIv2 | task1530_scitail1.1_sentence_generation | zs_opt | [
-0.6538887619972229,
0.47395631670951843,
-0.2833518385887146,
-0.3634952902793884,
-0.05955995246767998,
-0.16888073086738586,
0.044758062809705734,
0.4707575738430023,
0.007538418285548687,
0.2360958307981491,
-0.5931820869445801,
0.22075268626213074,
-0.6033626198768616,
0.3233246207237... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to replace a letter in the sentence with another given letter.
Sentence: 'a zebra standing next to a big tree'. Replace the letter 'i' with 'u' in the sentence.
Output: | a zebra standung next to a bug tree | 1 | NIv2 | task160_replace_letter_in_a_sentence | zs_opt | [
-0.2677306830883026,
0.5848103761672974,
-0.5892452001571655,
-0.8813155889511108,
-0.35449397563934326,
0.14033745229244232,
0.27439379692077637,
0.3760395646095276,
0.28524377942085266,
-0.7555164098739624,
-0.020551862195134163,
-0.5697658061981201,
-0.3722093105316162,
-0.0685846507549... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'T... | Text two | 0 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-1.7483208179473877,
0.3955497145652771,
0.16012179851531982,
-0.11638174951076508,
0.08301269263029099,
-0.11028832197189331,
0.01845530793070793,
0.6454653739929199,
-0.3294450044631958,
-0.49966734647750854,
-0.24371683597564697,
-0.3146582841873169,
-0.44056427478790283,
0.112752377986... |
Given the task definition and input, reply with output. In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the fo... | C | 5 | NIv2 | task190_snli_classification | zs_opt | [
-0.7018728256225586,
0.7389191389083862,
0.043915245682001114,
-0.3158278465270996,
0.11205270886421204,
-0.28926390409469604,
0.43908584117889404,
0.1347297728061676,
0.8304181694984436,
-0.3262510597705841,
-0.07030399143695831,
-0.22200989723205566,
-0.3765832185745239,
-0.1296046972274... |
Detailed Instructions: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
See one example below:
Problem: Italia berhasil mengalahkan Portugal 31-5 di grup C dalam Piala Dunia Rug... | そうこうしている間に救援に遅れも発生し、亡くなる人も出る。 | 4 | NIv2 | task1116_alt_id_ja_translation | fs_opt | [
-0.07581636309623718,
0.9182659387588501,
-0.5090468525886536,
0.1648688018321991,
-0.2935894727706909,
-0.5403075218200684,
0.4070112705230713,
0.09709482640028,
0.23747719824314117,
-0.19164371490478516,
-0.8249338865280151,
0.6954378485679626,
-0.7248665690422058,
0.6775853037834167,
... |
Teacher:In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? Solve this instance: Yesterd... | 昨日、インドネシアの大統領スシロ・バンバン・ユドヨノ氏はパンガンダランを視察し、臨時キャンプに宿泊している人たちと会った。 | 6 | NIv2 | task435_alt_en_ja_translation | zs_opt | [
-0.5215867757797241,
0.10087382793426514,
0.26155886054039,
-0.48821184039115906,
0.142042875289917,
-0.5177493095397949,
1.0733591318130493,
-0.23245415091514587,
-0.3065098226070404,
0.3039790093898773,
-0.1771496832370758,
0.29508793354034424,
-0.3539445996284485,
-0.23492056131362915,
... |
This task is about translating a given Yoruba language sentence to English.
Q: Ebi ń pa mí ọlọ́ṣẹ ń kiri; ìgbà tí n ò wẹnú n ó ṣe wẹ̀de?
A: | I am hungry and the soap seller hawks her wares; when I have not washed my inside, how can I wash my outside? | 4 | NIv2 | task1686_menyo20k_translation | zs_opt | [
0.319627583026886,
1.0635349750518799,
0.20912820100784302,
-0.2982763648033142,
-0.3499963879585266,
-0.5263817310333252,
0.10991863906383514,
0.37149935960769653,
0.5706329345703125,
-0.12052871286869049,
-0.3054348826408386,
0.34587016701698303,
-0.5617834329605103,
0.8452939391136169,
... |
Q: In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to create th... | Which of the leaders of the Protestant Reformation was younger? | 7 | NIv2 | task235_iirc_question_from_subtext_answer_generation | zs_opt | [
0.07424741983413696,
0.11134554445743561,
-0.27203169465065,
-0.23474542796611786,
-0.10872431099414825,
-0.3320136070251465,
-0.5148530006408691,
-0.32520532608032227,
0.02130432054400444,
0.4486980438232422,
0.6643296480178833,
0.38460707664489746,
-0.9528018236160278,
0.0582196861505508... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular s... | (C) | 1 | NIv2 | task268_casehold_legal_answer_generation | fs_opt | [
0.7572124004364014,
0.10704047977924347,
-0.44624876976013184,
0.41823044419288635,
0.49143487215042114,
-0.9544310569763184,
0.024279624223709106,
1.1956725120544434,
-0.3372930884361267,
0.21683326363563538,
-0.6055063009262085,
0.1361573338508606,
-0.23923416435718536,
-0.16366815567016... |
Part 1. Definition
In this task, you have given an input which is user's command or question, based on that you have to return what will be Agent's response/reply for that particular user's command or question
Part 2. Example
Hi Does R House have a full bar?
Answer: I'm unable to find whether R. House has a full bar. Y... | How about now? | 7 | NIv2 | task1603_smcalflow_sentence_generation | fs_opt | [
0.12980350852012634,
0.3691096305847168,
-0.02594275027513504,
0.5517594218254089,
0.16601061820983887,
-1.3539137840270996,
1.1099796295166016,
0.05951707810163498,
0.5267442464828491,
-0.11722040176391602,
-0.4293272793292999,
-0.41438549757003784,
-0.7609000205993652,
0.3920702636241913... |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | Sentence 1: PersonX asked PersonY to drive home from the cinema because _ had a migraine starting.
Sentence 2: PersonX asked PersonY to drive home from the cinema, however _ had a migraine starting.
| 1 | NIv2 | task030_winogrande_full_person | fs_opt | [
-0.030561082065105438,
0.19200348854064941,
-0.10754752159118652,
0.006809324026107788,
0.4559798836708069,
-0.41079166531562805,
0.6330574154853821,
0.8068642616271973,
-0.22329318523406982,
-0.7584746479988098,
-0.6548548936843872,
0.028515394777059555,
-0.5894899368286133,
0.13852003216... |
Definition: In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special toke... | With a customer rating 1 out of 5 _____ offers non kids friendly _____ food for a moderate price range near the Express by Holiday Inn. | 2 | NIv2 | task1407_dart_question_generation | zs_opt | [
-0.9976369142532349,
0.020624037832021713,
-0.18460015952587128,
-0.14276452362537384,
0.012909822165966034,
-0.3351539373397827,
0.9192664623260498,
-0.1311589479446411,
-0.19589373469352722,
-0.06824040412902832,
-0.5810002684593201,
-0.006627365946769714,
-0.14525139331817627,
0.0300112... |
Instructions: In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Input: Sentence: 'a living area with a couch coffee table and bookshelf'. How many words start with the letter 'l' in the sentence.
Output: | 1 | 3 | NIv2 | task162_count_words_starting_with_letter | zs_opt | [
0.08543284237384796,
0.8539799451828003,
-0.20137234032154083,
-0.41795575618743896,
-0.15562260150909424,
0.9506346583366394,
-0.2659236490726471,
0.0813460648059845,
0.031906429678201675,
-1.1033259630203247,
-0.20849935710430145,
-0.6557249426841736,
-0.8116266131401062,
0.0494482666254... |
instruction:
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note ... | (3, 4)
| 9 | NIv2 | task089_swap_words_verification | fs_opt | [
-0.4868205785751343,
0.7031142115592957,
-0.4853411614894867,
-0.649297297000885,
0.008845583535730839,
-0.23841118812561035,
0.3440723121166229,
0.23096077144145966,
0.29509133100509644,
-0.38188329339027405,
-0.15737050771713257,
-0.13381659984588623,
-0.04642399773001671,
0.048001047223... |
You are given a statement in Croatian, a question word and four choices in Croation. If the question word is "cause", you should choose the option that is most likely to be the cause of the statement. If the question word is "effect", you should pick the choice that is most likely to be a consequence of the statement. ... | Solution: Bila je nečitka. | 5 | NIv2 | task1628_copa_hr_question_answering | fs_opt | [
0.4001181721687317,
0.9008262157440186,
-0.47772395610809326,
0.3149253726005554,
-0.4287826120853424,
-0.6664372086524963,
0.8076077103614807,
-0.02347889170050621,
-0.1851525604724884,
-0.1875104457139969,
-0.003642501775175333,
0.5602416396141052,
-0.3014924228191376,
-0.320979624986648... |
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
PROBLEM: וסוף סוף התפניתי לסתום רוח-פרצים, על-ידי התקנת בידוד סביב החלונות ודלתות כדי למנוע רוח-פרצים.
SOLUTION: Finalmente comecei a tapar as frestas, a colocar isolamento à volta das janelas e das portas... | CP: Por acaso, saí de casa recentemente.
| 8 | NIv2 | task1114_ted_translation_he_pt | fs_opt | [
0.02400330640375614,
0.754045307636261,
-0.30207401514053345,
-0.01272548921406269,
-0.8477135300636292,
-0.3329384922981262,
0.4616260528564453,
0.11056779325008392,
0.5854701399803162,
-0.06667803972959518,
-0.48664677143096924,
0.6791191101074219,
-0.8505024313926697,
-0.129580378532409... |
Definition: Given a sentence in Italian, generate a new Italian 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 probabi... | Una finestra è un ritratto - apertura coperta in una costruzione o veicolo. | 2 | NIv2 | task408_mickey_it_sentence_perturbation_generation | zs_opt | [
0.1809975653886795,
0.3000302314758301,
-0.0865371897816658,
0.29253822565078735,
-0.3789774775505066,
-0.2320398986339569,
0.47527703642845154,
1.0057408809661865,
0.11378251016139984,
-0.36439746618270874,
-1.2851086854934692,
0.05876072868704796,
-0.4950190484523773,
0.7613345384597778,... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby p... | kitchen | 9 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
0.15450245141983032,
0.06801166385412216,
-0.6582313179969788,
0.8761847019195557,
0.9584470987319946,
-0.10042263567447662,
0.416249543428421,
0.70173180103302,
-0.23093977570533752,
0.7139673233032227,
0.40441665053367615,
0.08320065587759018,
-0.12575915455818176,
-0.010429898276925087,... |
Detailed Instructions: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Problem:Context: he be... | Answer: 1 | 8 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
0.12113910913467407,
0.3673090934753418,
-0.44430333375930786,
-0.17843785881996155,
-0.49498647451400757,
-0.6111046075820923,
0.4821103513240814,
0.23549722135066986,
0.42663535475730896,
0.000640904763713479,
0.12057343125343323,
1.2575126886367798,
-0.8828752040863037,
0.01417882367968... |
Teacher:In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
T... | wrap t shirt around you | 6 | NIv2 | task080_piqa_answer_generation | zs_opt | [
-0.026392895728349686,
0.38544636964797974,
-0.4062790274620056,
0.09869008511304855,
-0.8220201730728149,
-0.35686156153678894,
-0.9337763786315918,
0.36450687050819397,
-0.065423384308815,
0.03305257111787796,
-0.8671184182167053,
0.3325233459472656,
-0.6420720815658569,
-0.1219239011406... |
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "agai... | none | 9 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
-0.13610324263572693,
0.14542049169540405,
-0.6614134907722473,
0.02342291548848152,
-0.16290879249572754,
-1.0945453643798828,
0.238289013504982,
1.0546715259552002,
-0.4084322154521942,
0.2058521807193756,
-0.4291943311691284,
-0.1702353060245514,
-0.9622126817703247,
-0.1658065319061279... |
Q: In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
English: This is only one in a series of major naval drills held by Iran in the S... | Yes | 7 | NIv2 | task437_alt_en_ja_answer_generation | zs_opt | [
-0.5950455665588379,
-0.023139234632253647,
0.5124135613441467,
-0.38620948791503906,
0.21422535181045532,
-0.9072199463844299,
0.445487380027771,
0.24779629707336426,
-0.10569928586483002,
-0.31323516368865967,
0.002364385174587369,
-0.18842074275016785,
-0.8510195016860962,
0.12114106863... |
Given the task definition and input, reply with output. In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, b... | Lucia McBath | 5 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
0.6164540648460388,
0.9360748529434204,
0.17628486454486847,
0.03196286782622337,
-0.2874552011489868,
0.17008261382579803,
0.178752139210701,
0.6336357593536377,
0.2258075773715973,
0.19992484152317047,
-0.30401676893234253,
0.9630188345909119,
-1.0661547183990479,
0.38738709688186646,
... |
Teacher: 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 ... | Yes | 6 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.29447561502456665,
0.030586743727326393,
0.47609028220176697,
-0.29048532247543335,
-0.4721149206161499,
-1.4371154308319092,
1.119775652885437,
0.741473376750946,
-0.7218893766403198,
-0.5337344408035278,
-0.3737154006958008,
-0.23324786126613617,
-0.6330226063728333,
0.2084000855684280... |
Given the task definition and input, reply with output. In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Sentence: 'a policeman sitting on a motorcycle in front of a crowd behind a fence... | a policeman sitting on a in front of a crowd behind a fence | 5 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
-0.14655375480651855,
0.4969254732131958,
-0.2775647044181824,
-0.5353907346725464,
-0.03197576850652695,
-0.6585146188735962,
0.046741828322410583,
0.46434521675109863,
0.36402979493141174,
-0.3120523989200592,
-1.0709564685821533,
-0.11223047971725464,
-0.6198750734329224,
-0.08617809414... |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Example: The sound seems really good but sometimes it cuts in and out which is annoying. You... | Solution: Bad review | 5 | NIv2 | task929_products_reviews_classification | fs_opt | [
0.1026173010468483,
-0.36648106575012207,
-0.29155778884887695,
0.4387623071670532,
0.753848135471344,
-1.1603271961212158,
1.1808598041534424,
0.7782186269760132,
-0.6699050664901733,
0.6039705872535706,
-0.3796059787273407,
0.01819607987999916,
-0.29962649941444397,
-0.4047764539718628,
... |
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 Japanese.
(Risas) Chris Anderson: Estás fóra, estás fóra. Xa está.
| － 会場 （ 笑 ） （ クリス ） はいもう終わりだよ | 5 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.2117249071598053,
0.27120721340179443,
-0.6490032076835632,
-0.5516042709350586,
-0.09656105935573578,
-0.24671277403831482,
0.1961205005645752,
-0.31492966413497925,
0.5533683896064758,
-0.19930870831012726,
-0.38363954424858093,
-0.014833232387900352,
-0.5390752553939819,
0.5282965302... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
She says, "" Ma, you got to look! "" Now, when this kid says I got to look, you know.
Output: | היא אומרת, "" אמא, את חייבת להסתכל! "" וכשהילדה הזו אומרת שאני חייבת להסתכל, אתם יודעים. | 1 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
0.06351126730442047,
0.6404749155044556,
0.040799811482429504,
-0.48651832342147827,
-0.2440534234046936,
0.5928534269332886,
0.3542659282684326,
0.4177466034889221,
0.6266485452651978,
0.27636682987213135,
-0.24101349711418152,
-0.496035635471344,
-0.8826223611831665,
-0.15606705844402313... |
Instructions: Generate a correct and concise answer for the question based on the words in the context.
Input: Context : Franz Müller (31 October 1840 -- 14 November 1864), was a German tailor who was hanged for the murder of Thomas Briggs, the first killing on a British train.
Question : Which crime Franz Müller is c... | murder | 3 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
0.20511850714683533,
0.9266988635063171,
-0.0002711660345084965,
-0.027246668934822083,
-0.09141112118959427,
0.11479172110557556,
-0.3998594284057617,
0.46270233392715454,
-0.0985354483127594,
0.37666237354278564,
-0.6079566478729248,
-0.2100723683834076,
-0.34480398893356323,
0.177057147... |
Q: 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: "span",... | 2. | 7 | NIv2 | task028_drop_answer_generation | zs_opt | [
0.3304758369922638,
0.6171808242797852,
-0.0638568252325058,
0.26648449897766113,
0.6539049744606018,
-0.9566987752914429,
0.38945379853248596,
0.9458905458450317,
0.7800073623657227,
0.6649026870727539,
-0.26389533281326294,
1.244002342224121,
-0.8486754894256592,
0.15591947734355927,
0... |
Q: Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
THEM: give me hat YOU: and i can have the rest? THEM: yes.
A: | Yes | 7 | NIv2 | task1384_deal_or_no_dialog_classification | zs_opt | [
0.09919196367263794,
0.4150409698486328,
0.28193047642707825,
0.4725290834903717,
-0.17419004440307617,
-1.4320507049560547,
-0.3089773654937744,
0.28157293796539307,
0.23396211862564087,
-0.458912193775177,
-0.013428328558802605,
-0.02039390616118908,
-0.8008880019187927,
-0.2616271972656... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Input: Consider Input: Se osservate quello che costerebbe se ogni stato investisse in una formazione prescolare a quattro anni, scuola materna a tempo pieno a partire da 4 anni, il costo annuo totale sarebbe di circa 30 m... | Output: さてここから何を導き出せるでしょうか ？
| 2 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
0.0493437834084034,
0.4689774215221405,
-0.22380076348781586,
-0.07876220345497131,
0.015683896839618683,
0.07084060460329056,
0.45653530955314636,
0.20302888751029968,
0.18651257455348969,
-0.77152419090271,
-0.43892598152160645,
0.34718775749206543,
-0.46546101570129395,
-0.6004151105880... |
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