inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then some input of the task.
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... | Not Answerable | 1 | NIv2 | task290_tellmewhy_question_answerability | zs_opt | [
0.03404043987393379,
-0.028114601969718933,
0.35830235481262207,
0.32451874017715454,
0.028446536511182785,
-0.5107920169830322,
0.20092767477035522,
0.29250529408454895,
0.5770924687385559,
0.648444652557373,
0.1596882939338684,
-0.0330347865819931,
-0.4151441156864166,
0.1374272704124450... |
Teacher:You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Teacher: Now, understand the problem? Solve this instance: what movies did Christa Théret star in?
Student: | Renoir, The Man Who Laughs | 6 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.3914756178855896,
1.4148696660995483,
-0.5506171584129333,
0.12279154360294342,
-0.39744117856025696,
0.9348686933517456,
0.33569690585136414,
-0.13789713382720947,
0.4517703354358673,
-0.7019590139389038,
0.4463968276977539,
-0.6960779428482056,
-0.07167614996433258,
-0.987199783325195... |
Detailed Instructions: 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.
See one example below:
Problem: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Solution: ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກ... | "ປະທານປະເທດທີ່ເລືອກແມ່ນ ອວດຕາຣາ ແລະ ລາວບໍ່ໄດ້ຂໍໃຫ້ພວກເຮົາອອກໄປ" ກ່າວ UN. | 4 | NIv2 | task1124_alt_ja_lo_translation | fs_opt | [
-0.6931527853012085,
0.5039295554161072,
-0.7048050761222839,
0.1961669921875,
-0.284050315618515,
-0.4754987359046936,
0.7046693563461304,
0.4666083753108978,
0.041082628071308136,
-0.8033403158187866,
-1.1824324131011963,
1.0339787006378174,
-0.752282977104187,
0.9948415756225586,
-0.1... |
Given the task definition, example input & output, solve the new input case.
Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong t... | COORD | 1 | NIv2 | task1505_root09_semantic_relation_classification | fs_opt | [
-1.0933572053909302,
0.3009603023529053,
-0.1344275027513504,
0.08179471641778946,
-0.3724464178085327,
0.17114868760108948,
0.27906790375709534,
0.2018212378025055,
0.28653639554977417,
-0.4922402799129486,
-0.5670000314712524,
-0.2568265497684479,
-0.5094395279884338,
0.30683326721191406... |
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
[EX Q]: Kronecker-factor Approximate Curvature (Martens & Grosse, 2015) (K-FAC) is a 2nd-order optimization method wh... | Learning to imitate an expert in the absence of optimal actions learning a dynamics model while exploring the environment.
| 6 | NIv2 | task668_extreme_abstract_summarization | fs_opt | [
-0.12476834654808044,
0.16314102709293365,
-0.7374167442321777,
-0.17782889306545258,
-0.10395120084285736,
0.05673680454492569,
0.9449885487556458,
1.077124834060669,
-0.09016489237546921,
0.5374442934989929,
-0.29758888483047485,
0.2356226146221161,
-0.7666306495666504,
0.182518526911735... |
In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list of n... | [6] | 0 | NIv2 | task098_conala_list_intersection | zs_opt | [
0.3347184658050537,
0.18957704305648804,
-0.2999148964881897,
-0.43206992745399475,
0.0034719419199973345,
0.07358136773109436,
1.0244388580322266,
-0.19292303919792175,
-0.07932157814502716,
0.1095036119222641,
-0.8160220384597778,
-0.3996368646621704,
-0.30054372549057007,
0.118916153907... |
Definition: In this task, you are given a hateful post in English from online platforms. You are expected to classify the post into two classes: aggresive or non-aggresive. An aggresive post is one that expresses feelings and opinions in an abusive way and tries to dominate others. Note that the URLs in the text have b... | Aggresive | 2 | NIv2 | task335_hateeval_classification_aggresive_en | zs_opt | [
-0.6191470623016357,
-0.2901461720466614,
0.6683576107025146,
0.3591732978820801,
-0.074043408036232,
-0.05559701472520828,
-0.05323030427098274,
0.5588035583496094,
-0.16260665655136108,
0.4988281726837158,
0.0723021849989891,
-0.20468655228614807,
-0.560003399848938,
-0.726769208908081,
... |
Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). Person... | No | 5 | NIv2 | task1213_atomic_classification_desires | zs_opt | [
0.012432144954800606,
0.5768526792526245,
0.09539227187633514,
0.15883135795593262,
-0.45177990198135376,
-0.33274444937705994,
1.1865243911743164,
0.2638412117958069,
-0.7145452499389648,
-0.4385002851486206,
-0.32574987411499023,
-0.051077768206596375,
-0.5986152291297913,
0.322771012783... |
Q: Given a paragraph in Spanish, your job is to generate a spanish question that can be answered from the passage. The answer to your question should be a single entity, person, time, etc. that can be extracted from the passage.
Históricamente, Victoria ha sido la base de las plantas de fabricación de las principales m... | ¿Qué tipo de planta de fabricación va a cerrar dentro de poco en Victoria? | 7 | NIv2 | task1611_xquad_es_question_generation | zs_opt | [
-0.30282288789749146,
-0.03618834540247917,
-0.11318361759185791,
0.08527816832065582,
-0.10564927756786346,
-0.8454447984695435,
0.4693017303943634,
1.2439559698104858,
0.2873992323875427,
-0.3537794053554535,
0.3417593836784363,
0.5559701919555664,
-0.05252271518111229,
-0.01965732313692... |
In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Q: ACTION1: not tipping ACTION2: not letting my best friend go through my texts with my oth... | yes
****
| 4 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | fs_opt | [
-0.007100834045559168,
-0.04633784294128418,
0.676237940788269,
0.1747242659330368,
-0.016025014221668243,
-0.8639779090881348,
-0.26522332429885864,
0.3764567971229553,
-0.020252158865332603,
0.6296455264091492,
-0.014492429792881012,
-0.856034517288208,
-0.6283583641052246,
-0.8212511539... |
Instructions: The task is to generate the correct answer for a given math problem.
Input: Problem: in an election between two candidates , one got 60 % of the total valid votes , 30 % of the votes were invalid . if the total number of votes was 9000 , the number of valid votes that the other candidate got , was :
Outpu... | 2520 | 3 | NIv2 | task1726_mathqa_correct_answer_generation | zs_opt | [
0.02185194566845894,
0.9628074169158936,
0.31949374079704285,
-0.002462527481839061,
-0.3599809408187866,
-0.30089271068573,
-0.14220285415649414,
0.18131446838378906,
0.06569123268127441,
0.10704325139522552,
-0.08119472861289978,
0.12169459462165833,
-0.2547648251056671,
-0.4395427405834... |
TASK DEFINITION: In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
PROBLEM: Tweet: I need to go into work early on Mond... | no
| 8 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-0.8067976236343384,
0.20775532722473145,
0.5909733772277832,
0.3701052963733673,
0.13381148874759674,
-1.23301362991333,
0.09751840680837631,
0.49743568897247314,
0.2443143129348755,
0.23058906197547913,
-0.3580988049507141,
-0.2600599229335785,
-0.03449000418186188,
-0.5183559656143188,
... |
Detailed Instructions: In this task, you are given a sentence in Persian, and you have to paraphrase it. The paraphrased sentence must have the same meaning as the input.
Problem:چگونه میتوان تلگرام کسی را هک کرد؟
Solution: | چگونه تلگرام همسرم را هک کنم؟ | 8 | NIv2 | task466_parsinlu_qqp_text_modification | zs_opt | [
-0.9631887674331665,
1.5923488140106201,
0.08926934748888016,
-0.4743896722793579,
-0.4068373441696167,
-0.06798213720321655,
1.0612881183624268,
0.2851529121398926,
0.15258511900901794,
-0.2692258059978485,
-1.122851014137268,
0.31323254108428955,
-0.666256308555603,
-0.1324286162853241,
... |
You will be given a definition of a task first, then some input of the task.
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Context: Venous thromboembolism (VTE) is associated with si... | dabigatran | 1 | NIv2 | task469_mrqa_answer_generation | zs_opt | [
0.944640040397644,
0.32198566198349,
-0.5065646171569824,
0.8469007015228271,
-0.2184552103281021,
-0.2423497438430786,
0.9932295083999634,
0.8765031099319458,
0.2845439314842224,
0.7677960395812988,
-0.21340405941009521,
-0.1316167116165161,
-0.3792555630207062,
0.3366849422454834,
0.56... |
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 even 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 even numbers in an inner list you sho... | [228, 720, -2160, 0]
| 3 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
0.29258018732070923,
-0.0584595687687397,
-0.9858038425445557,
0.05527191609144211,
0.17668423056602478,
-0.5106619596481323,
1.1306583881378174,
0.6020733714103699,
-0.48733100295066833,
-0.35806578397750854,
-0.8386741876602173,
0.40750110149383545,
-0.5341348648071289,
-0.31045645475387... |
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 ... | Gina was playing a song she liked in her tape deck.
| 6 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
0.06968703120946884,
0.476423054933548,
-0.7384646534919739,
-0.125808447599411,
-0.01386005338281393,
-0.22104953229427338,
0.0133706945925951,
0.962671160697937,
-0.059422217309474945,
0.14871251583099365,
-0.11592184007167816,
0.43106314539909363,
0.4732508063316345,
-0.6899980306625366... |
Instructions: 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 ... | Yes | 3 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
0.19521982967853546,
0.30710408091545105,
0.20582401752471924,
0.046941980719566345,
-0.47491949796676636,
-0.6676254272460938,
1.1644648313522339,
0.42501863837242126,
-0.4754790663719177,
-0.5515037775039673,
-0.43853676319122314,
-0.6807992458343506,
-0.514369010925293,
0.26108157634735... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on... | Changed | 9 | NIv2 | task515_senteval_odd_word_out | fs_opt | [
-0.7185010313987732,
1.0015381574630737,
0.501629114151001,
-0.7659469842910767,
0.0789952501654625,
-0.30347269773483276,
0.41284817457199097,
0.34719187021255493,
0.41100800037384033,
-0.3619574010372162,
-0.51207435131073,
-0.445620596408844,
-1.0790175199508667,
0.14123955368995667,
... |
TASK DEFINITION: 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. Indicat... | d
| 8 | NIv2 | task231_iirc_link_classification | fs_opt | [
1.1894564628601074,
0.5566589832305908,
-0.15834876894950867,
0.0404200442135334,
0.8920994997024536,
-0.26589375734329224,
1.332094669342041,
0.8846769332885742,
-0.38785499334335327,
0.5908278822898865,
0.30604788661003113,
0.0453731045126915,
-0.6880677938461304,
0.28066718578338623,
... |
Given the task definition and input, reply with output. You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the... | Yes | 5 | NIv2 | task456_matres_intention_classification | zs_opt | [
-0.16754817962646484,
1.0896666049957275,
0.20079204440116882,
0.5181063413619995,
-0.5810629725456238,
-0.35698121786117554,
0.34968411922454834,
0.4885856509208679,
0.1667415201663971,
0.0190134234726429,
-0.008797643706202507,
0.40675216913223267,
-0.25456035137176514,
0.239257246255874... |
Definition: In this task, you will be given a debate topic, along with a sentence from the debate. You should classify the given sentence and choose the type of that sentence. Possible types are explained below.
Policy: This refers to a sentence proposing a specific course of action to be taken. It typically contains m... | Value | 2 | NIv2 | task375_classify_type_of_sentence_in_debate | zs_opt | [
-0.15118977427482605,
0.255731463432312,
0.2560824453830719,
0.27054643630981445,
-0.30431967973709106,
-0.48087406158447266,
0.9654581546783447,
0.6998936533927917,
0.2833711504936218,
-0.33864399790763855,
-0.805560827255249,
0.2756187915802002,
-0.23177656531333923,
-0.03812452405691147... |
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or... | strengthener
| 1 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
-0.06665623188018799,
0.07742556929588318,
-0.16146276891231537,
0.2793997526168823,
0.45772743225097656,
-0.9279122352600098,
0.4471248388290405,
1.27229905128479,
0.02986370027065277,
-0.49872708320617676,
-1.119526982307434,
0.1361822783946991,
-0.1762416958808899,
-0.15642601251602173,... |
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is presen... | [88, 98] | 6 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.5841698050498962,
0.5641412138938904,
-0.17297592759132385,
-0.2865403890609741,
0.15561777353286743,
-0.2230266034603119,
1.4943187236785889,
0.45970404148101807,
-0.16609692573547363,
0.09673035144805908,
-0.628477931022644,
0.3275943994522095,
-0.4905899167060852,
-0.2916111946105957... |
Translation from English to Telugu.
- All right. | - అన్ని కుడి. | 0 | NIv2 | task1330_open_subtitles_en_te_translation | zs_opt | [
0.8863658905029297,
0.8761598467826843,
-0.5382500886917114,
-0.020879950374364853,
-0.6463440656661987,
-0.36718225479125977,
0.5601139068603516,
-0.18360555171966553,
0.3459974527359009,
-0.31196075677871704,
-0.32044899463653564,
-0.03890484571456909,
-0.25376278162002563,
0.21200039982... |
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
| 7 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.7731639742851257,
-0.06766615808010101,
0.2139696329832077,
-0.2550036311149597,
-0.24059456586837769,
-1.4498801231384277,
1.5177263021469116,
0.41638118028640747,
-0.5238546133041382,
-0.4216999411582947,
-0.6330945491790771,
-0.7868702411651611,
-1.0039094686508179,
0.1349271386861801... |
Definition: 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) aggregation, and (7) ordinal.
Here are the ... | majority | 2 | NIv2 | task212_logic2text_classification | zs_opt | [
0.08225560188293457,
-0.3707771599292755,
-0.44999611377716064,
0.3943727910518646,
0.42825502157211304,
-0.5950641632080078,
0.7503926157951355,
0.5841585397720337,
0.45749548077583313,
0.025006074458360672,
-0.13415545225143433,
0.1034984439611435,
-0.03987497836351395,
0.580110311508178... |
Instructions: In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Input: Text: so this happened about a month or so ago, just got into reddit s... | TIFU by screaming at a woman in a wheelchair.. And only one leg. | 3 | NIv2 | task510_reddit_tifu_title_summarization | zs_opt | [
-0.6190618276596069,
0.5815037488937378,
0.061326175928115845,
-0.26963376998901367,
0.13286325335502625,
0.32840585708618164,
0.053793229162693024,
0.6589924693107605,
0.38802674412727356,
0.4375622570514679,
-0.21818050742149353,
-0.1320708692073822,
-0.3530241847038269,
-0.0289807636290... |
You will be given a definition of a task first, then some input of the task.
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 person has made a cat put its paw on the remote... | a person has made a cat put its paw the remote | 1 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
-0.28740912675857544,
0.47758787870407104,
-0.29798412322998047,
-0.1960987001657486,
0.18236176669597626,
-0.41755974292755127,
0.2740052342414856,
0.1339367777109146,
-0.060607101768255234,
-0.19186623394489288,
-0.7430724501609802,
-0.011978031136095524,
-0.7362998723983765,
-0.42394459... |
Detailed Instructions: In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
See one example below:
Problem: অসাধারণ একটি বই, লজিকাল স্কিল ডেভেলপমেন্ট এর জন্যে অতুলনীয়..
Solution: positive
Explanation: H... | positive | 4 | NIv2 | task1497_bengali_book_reviews_sentiment_classification | fs_opt | [
-1.362752914428711,
-0.18807709217071533,
0.6927922964096069,
-0.6579480171203613,
0.33379775285720825,
-0.06223507970571518,
1.0274755954742432,
0.006142768543213606,
0.35171154141426086,
-0.43336057662963867,
-0.6614087820053101,
-0.0956406444311142,
-0.6131730079650879,
0.06191791966557... |
Q: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Hover your cursor over the image to see the names of the featured artists, colleagues and friends. Top Row (L-R):Amy Winehouse, Sir Paul Smith, Ian Curtis, Nick Park, Robin Day, Lucienne Day, Francis ... | Sir Peter Blake has created a new collage, based on his iconic sleeve for The Beatles' Sgt Pepper album, to celebrate his 80th birthday. | 7 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
0.46637046337127686,
-0.13286055624485016,
-0.19393205642700195,
0.40696120262145996,
0.6488257050514221,
-0.9350640177726746,
0.22705090045928955,
0.2277160882949829,
0.16229884326457977,
0.4094570577144623,
0.4980267882347107,
0.5743279457092285,
-0.5335758924484253,
0.050663262605667114... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labelin... | Yes. | 1 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.8553381562232971,
0.5398582220077515,
0.12193968892097473,
0.6349866390228271,
0.061252105981111526,
-0.8639169335365295,
0.4217945635318756,
1.1686241626739502,
0.04922899231314659,
0.01063632220029831,
-0.035639502108097076,
0.018069515004754066,
-0.022140568122267723,
-0.283150136470... |
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.
[EX Q]: Sentence: xname is the best place since xname provides terrible decor and ru... | service[bad], location[Lower Manhattan], cuisine[Vietnamese]
| 6 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.32454419136047363,
0.18633247911930084,
-0.6315122246742249,
-0.4821535348892212,
-0.21404686570167542,
0.6041616797447205,
0.6616796851158142,
1.3287055492401123,
0.009254667907953262,
0.0019451933912932873,
0.6349647045135498,
-0.1695956140756607,
-0.01726001873612404,
0.2082788795232... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
זה נראה כמו מתקן לשטיפת מכוניות. נכנסים למתקן,
It looks like a car wash. You come into your car wash.
בשנים האחרונות, אנשים אוטיסטים התאחדו באינטרנט על מנת לדחות את הרעיון שהם חידות שצריך לפתור עד פריצת הדרך הרפואית הבאה, ת... | Go out and look like a diplomat. "" So that did give me a lot of opportunities to go shopping.
| 0 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.265693336725235,
0.02842915803194046,
0.2370530068874359,
0.2726552486419678,
-0.5079649686813354,
-0.46063029766082764,
-0.21139144897460938,
0.3195919096469879,
0.9880799055099487,
0.5262561440467834,
0.06724698841571808,
0.21429459750652313,
0.135177344083786,
-0.01213349960744381,
... |
Teacher:From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Teacher: Now, understand the problem? Solve this instance: Given Relationship: 'be member of', Sentence: 'Click to view a list of the NNMSA Board of Direc... | members | 6 | NIv2 | task678_ollie_actual_relationship_answer_generation | zs_opt | [
0.16197064518928528,
0.6702708005905151,
0.5545125007629395,
-0.8225266933441162,
-0.520469069480896,
-1.149817943572998,
0.5001315474510193,
0.3475068509578705,
0.38128429651260376,
0.33080074191093445,
0.0748346671462059,
0.04548592120409012,
-0.8382396101951599,
0.09399103373289108,
0... |
instruction:
In this task, you are given a sentence in Persian, and your task is to translate it into English.
question:
با دقت نگاه کردن، بعد خیره ماندن برای مدت طولانی، بعد بیرون آمدن از گوشهای که ایستاده بودم،
answer:
A peep, and then a long stare; and then a departure from my niche and a straying out into the mead... | provided you admit that the gift would be acceptable to you.
| 9 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.6253734230995178,
0.5368831753730774,
0.08518481254577637,
-0.1802215874195099,
-0.5387127995491028,
-0.41927236318588257,
0.6234800815582275,
-0.2521502375602722,
0.22076614201068878,
0.148573100566864,
-0.38251832127571106,
0.039694156497716904,
-0.4445714056491852,
0.6462000608444214... |
Definition: In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
Input: Hi, I'm trying to learn about Saint Petersburg, can you help me?
I would be happy to help, Saint Petersburg is a city in northwestern Russia. There are over 5 million people living in St... | Saint Petersburg | 2 | NIv2 | task578_curiosity_dialogs_answer_generation | zs_opt | [
0.5783193111419678,
0.19352519512176514,
-0.3127683997154236,
-0.6195194721221924,
0.3788795471191406,
-0.3603796362876892,
0.24375922977924347,
0.9622758626937866,
-0.14840754866600037,
0.5424041152000427,
0.11214959621429443,
0.3191230297088623,
-0.4067319631576538,
-0.2657739222049713,
... |
TASK DEFINITION: In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
PROBLEM: I was looking for a good sweet and sour sauce for chicken and based on the reviews, I took a chance. Well, no one in th... | False
| 8 | NIv2 | task590_amazonfood_summary_correction_classification | fs_opt | [
-0.07839101552963257,
-0.4775656461715698,
-0.5947889685630798,
0.05402291566133499,
-0.2989588975906372,
0.005178481340408325,
1.1544162034988403,
0.8403351902961731,
-0.37338441610336304,
0.09378938376903534,
0.09021268784999847,
0.09409959614276886,
-0.7158708572387695,
0.33934843540191... |
Definition: 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 form of the numbers 0 (entailment), 1 (neutral... | 2 | 2 | NIv2 | task1612_sick_label_classification | zs_opt | [
-0.23438885807991028,
0.17803412675857544,
0.5408378839492798,
-0.18300029635429382,
-0.03365063667297363,
-0.5402595400810242,
0.259504497051239,
0.4526141285896301,
0.7715598344802856,
-0.08034391701221466,
-0.9853319525718689,
-0.19126856327056885,
0.04602310433983803,
-0.20047299563884... |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Input: Sei o que quero e fágoo.
Output: | 自分の意志はわかるそれに従う | 3 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.3302447199821472,
0.1547636091709137,
0.18511414527893066,
-0.421133816242218,
0.13487453758716583,
-0.671448290348053,
-0.10514461249113083,
0.14240379631519318,
-0.39647868275642395,
-0.17176002264022827,
-0.013090221211314201,
-0.37994685769081116,
-0.6203906536102295,
0.206799462437... |
Part 1. Definition
In this task your given a passage and a question in Catalan, you must answer the question based on the passage. The answer to the question can be extracted directly from the passage. The question will have a single correct answer. The answer will be a continuous span of text from the given passage. T... | durant la baixa edat mitjana | 7 | NIv2 | task837_viquiquad_answer_generation | fs_opt | [
1.3417999744415283,
0.4822770357131958,
-0.4102538228034973,
0.30726081132888794,
0.4725456237792969,
-0.6787992715835571,
0.9197677373886108,
0.9439425468444824,
0.30938613414764404,
-0.44705793261528015,
-0.5528464317321777,
0.3488258719444275,
-0.7936177253723145,
0.014913617633283138,
... |
Definition: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Input: By Paul BurnellBBC News, Manchester "I was more scared of the weather than the enemy," said 86-year-old veteran Herbert MacNeil, from Manchester. Yet most of the medals adorning Mr Mac... | For the Arctic convoys of World War II that took supplies to the Soviet Union - braving 70ft (21m) waves and temperatures as low as -50C - the weather and seas were just as deadly as the U-boats. | 2 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
0.8049749732017517,
-0.20471806824207306,
-0.45474308729171753,
-0.1755227893590927,
0.6362351775169373,
-0.8149194717407227,
0.6122963428497314,
0.9957490563392639,
-0.21306002140045166,
0.1335398554801941,
-0.1209874227643013,
0.28429874777793884,
-0.5715574026107788,
0.5266496539115906,... |
In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
ELVED | LVD | 0 | NIv2 | task365_synthetic_remove_vowels | zs_opt | [
0.3888905644416809,
1.2380058765411377,
0.013973589986562729,
-0.4900476336479187,
0.46626541018486023,
-0.6541630029678345,
0.7457112073898315,
0.3920707106590271,
0.13075534999370575,
-0.31327277421951294,
0.1162518560886383,
-0.2404094934463501,
-0.045117974281311035,
-0.630613565444946... |
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Don’t waste your money on this product does not fit on the gun properly cheap cheap cheap | Don’t waste your money on this product does not fit on the gun properly cheap cheap cheap | 0 | NIv2 | task618_amazonreview_summary_text_generation | zs_opt | [
0.23858512938022614,
0.3688634932041168,
-0.341686487197876,
-0.7210652828216553,
-0.04468964785337448,
-0.15261799097061157,
0.9741442203521729,
0.29527756571769714,
-0.2908656597137451,
0.7098006010055542,
-0.31859612464904785,
0.25310003757476807,
-0.7757233381271362,
-0.238635659217834... |
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: Consider Input: 失敗? . Juelz Santanaは大好きなんですが、このアルバムは失敗なのかなぁ USで初登場142位 売上は4240枚… ... | Output: NEG
| 2 | NIv2 | task487_cls_japanese_music_classification | fs_opt | [
0.45833104848861694,
-0.6418099403381348,
-0.8817636966705322,
0.3816784620285034,
1.2138092517852783,
-0.37644922733306885,
1.512237310409546,
0.7511027455329895,
-0.29623547196388245,
0.6536251902580261,
-0.35189327597618103,
0.535236120223999,
-0.11352655291557312,
-0.3649939298629761,
... |
Q: You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
System Reference: there are 7 cheaply priced japanese restaurants.
Original Reference: there are 7 restaurant -s ... | 0 | 7 | NIv2 | task1283_hrngo_quality_classification | zs_opt | [
-0.49922752380371094,
1.0446252822875977,
-0.3335278034210205,
0.1996341496706009,
0.1316114366054535,
-0.35379183292388916,
1.0846312046051025,
0.699730634689331,
0.016719240695238113,
-0.6216378211975098,
-0.09101485460996628,
-0.11176073551177979,
-0.7198943495750427,
0.0489841476082801... |
Instructions: 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 ... | No | 3 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.3324669897556305,
0.39227986335754395,
0.2652179002761841,
-0.2712309658527374,
-0.5567888021469116,
-0.5944085121154785,
1.2869075536727905,
0.135223388671875,
-0.6153032779693604,
-0.3801285922527313,
-0.4385170340538025,
-0.5658186078071594,
-0.6708145141601562,
0.08085238933563232,
... |
You are given an original reference as well as a system reference. Your task is to judge the informativeness of the system reference. If the utterance provides all the useful information from the meaning representation output 1, else output 0.
Input: Consider Input: System Reference: darbar restaurant, is cheap.
Origi... | Output: 0
| 2 | NIv2 | task1284_hrngo_informativeness_classification | fs_opt | [
-0.2192438542842865,
0.7886776924133301,
-1.0074653625488281,
0.1733877807855606,
-0.6943541765213013,
-0.44345200061798096,
1.3050727844238281,
0.6150486469268799,
0.06547380983829498,
-0.011089992709457874,
-0.24529218673706055,
-0.10725834965705872,
-0.6867020130157471,
-0.0576122365891... |
Given the task definition and input, reply with output. In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, ... | If each dog is wearing some kind of costume. | 5 | NIv2 | task184_break_generate_question | zs_opt | [
0.5265666842460632,
0.09548139572143555,
-0.7616626024246216,
0.7657276391983032,
0.23501139879226685,
-0.34375837445259094,
0.7681493759155273,
0.33180713653564453,
-0.26514431834220886,
0.45675647258758545,
-0.46007436513900757,
0.3711422085762024,
0.10391342639923096,
0.1759244650602340... |
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 scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Question: What term ref... | Coevolution often happens in species that have symbiotic relationships. Examples include flowering plants and their pollinators. | 0 | NIv2 | task593_sciq_explanation_generation | fs_opt | [
0.4226403534412384,
-0.06752956658601761,
-0.5241055488586426,
0.09204316139221191,
-0.0007572422618977726,
-1.0598769187927246,
0.21115171909332275,
0.7623637318611145,
-0.25504061579704285,
-0.2521403431892395,
-0.5326640605926514,
-0.5423531532287598,
-0.562146008014679,
0.1421644091606... |
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 respective positions in t... | FdiFQacdffgghhhjjjknoqrrzAPRWSdq, zqHcymMLacdffgghhhjjjknoqrrzTGBTuxKwA
| 5 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.05722787603735924,
0.7290377020835876,
-0.1328047662973404,
0.24543283879756927,
-0.10157864540815353,
0.11790144443511963,
0.5850250720977783,
-0.13558465242385864,
0.26241883635520935,
0.4201646149158478,
-0.6592432856559753,
-0.7664403915405273,
0.0704365223646164,
-0.1226757243275642... |
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 'Yes' or 'N... | Yes | 3 | NIv2 | task227_clariq_classification | zs_opt | [
-0.7148334980010986,
-0.20723965764045715,
0.09297743439674377,
0.12687432765960693,
-0.3604457974433899,
-0.7587291598320007,
0.2885476350784302,
0.3652907609939575,
-0.0001938628265634179,
0.040251974016427994,
0.24158263206481934,
-0.28167617321014404,
-0.5976928472518921,
0.51261305809... |
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 t... | No | 6 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.5763839483261108,
0.2268434315919876,
0.4384659230709076,
-0.43677639961242676,
-0.49387794733047485,
-0.9213854074478149,
1.3388841152191162,
0.3320854902267456,
-0.41986897587776184,
-0.6628054976463318,
-0.44940507411956787,
-0.3772425055503845,
-0.8326454162597656,
0.2825866341590881... |
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.
... | [67]
| 3 | NIv2 | task366_synthetic_return_primes | fs_opt | [
-0.3594972491264343,
0.18140491843223572,
-0.25359082221984863,
-0.22407513856887817,
0.16458377242088318,
0.04624149203300476,
0.6647586822509766,
0.8344466686248779,
-0.15433266758918762,
0.13146820664405823,
-1.129392147064209,
-0.4292752742767334,
-0.23291157186031342,
-0.6440806388854... |
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Input: Consider Input: Unless the UK's withdrawal agreement with Brussels is reopened a... | Output: UK power supplies enough for winter, says National Grid
| 2 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.07884357869625092,
1.0654263496398926,
0.15285688638687134,
-0.5857354402542114,
0.19089339673519135,
-0.4572795629501343,
0.8742377758026123,
0.1699163317680359,
0.10564099997282028,
0.37041085958480835,
-0.13385137915611267,
0.5303777456283569,
-0.7924556732177734,
-0.1232834607362747... |
You will be given a definition of a task first, then some input of the task.
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, wi... | The man is wearing glasses. | 1 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | zs_opt | [
0.007674873806536198,
0.8512042760848999,
-0.20508244633674622,
-0.6315674781799316,
0.2724747359752655,
-0.5935361385345459,
0.662420928478241,
0.32651442289352417,
0.2931351363658905,
-0.03755352646112442,
-0.6577205657958984,
-0.5323771834373474,
-0.36576783657073975,
-0.402115046977996... |
Detailed Instructions: In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside... | [-8] | 4 | NIv2 | task369_synthetic_remove_odds | fs_opt | [
-0.5367032289505005,
0.5079547166824341,
-0.38290321826934814,
-0.6498010158538818,
0.15420746803283691,
-0.5951086282730103,
0.7893755435943604,
0.534048318862915,
-0.11631810665130615,
0.601762056350708,
-0.7793360948562622,
-0.32989436388015747,
-0.23519852757453918,
-0.3192096054553985... |
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant ... | True | 0 | NIv2 | task1164_coda19_section_correction_classification | zs_opt | [
-0.120046466588974,
0.35777610540390015,
-0.5981544256210327,
-0.2844824194908142,
-0.09473808109760284,
0.1098754033446312,
0.6688908934593201,
0.5963832139968872,
-0.025186263024806976,
-0.2573293447494507,
-1.1968063116073608,
-0.16796374320983887,
0.04069935902953148,
0.014616288244724... |
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
[EX Q]: Event:PersonX leads PersonX's team. Intent: 1) to... | mad
| 6 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.12115132063627243,
0.21717675030231476,
-0.07344838976860046,
-0.7141605615615845,
-0.7530540227890015,
-0.6130596399307251,
1.097325325012207,
0.18143510818481445,
0.27799952030181885,
-0.6651482582092285,
0.23369258642196655,
0.15596021711826324,
-0.5241047739982605,
0.1424948275089264... |
In this task, you will be presented with a question having multiple possible answers in Hindi language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Input: Consider Input: Question: खराब स्वागत के कारण जेम्स ने अपनी नाव से एंटिना को फाड़ दिया क्यो... | Output: C
| 2 | NIv2 | task1134_xcsr_hi_commonsense_mc_classification | fs_opt | [
-0.04633130133152008,
0.16085416078567505,
-0.03800027817487717,
0.0401812419295311,
-0.06631480157375336,
-1.0054601430892944,
-0.5171537399291992,
0.1890154778957367,
-0.41659629344940186,
0.1443743109703064,
-0.18146386742591858,
0.27979522943496704,
0.04594583436846733,
-0.674957156181... |
In this task, you need to count the number of words in a sentence that contain the given letter
Example: Sentence: 'two gray birds standing in a green field'. How many words contain the letter 'a' in the sentence.
Example solution: 3
Example explanation: The words 'gray', 'standing', and 'a' contain the letter 'a'. So,... | Solution: 5 | 5 | NIv2 | task161_count_words_containing_letter | fs_opt | [
-0.10584107041358948,
0.6612339019775391,
-0.6362766027450562,
-1.3098254203796387,
0.08226138353347778,
-0.4024588465690613,
0.6932510733604431,
0.1740628182888031,
0.8335379362106323,
-0.8107316493988037,
-0.7940911054611206,
0.5710967183113098,
-0.02163286879658699,
-0.1517663300037384,... |
In this task, you need to indicate the presence of temporal reasoning in the provided question. Questions that involve temporal reasoning/understanding contain one of the following five temporal phenomena: First: "event duration", is defined as the understanding of how long events last (e.g.,"brushing teeth" usually ta... | Solution: Yes. | 5 | NIv2 | task018_mctaco_temporal_reasoning_presence | fs_opt | [
0.5008682012557983,
0.25627559423446655,
-0.22254079580307007,
0.38017430901527405,
-0.507322371006012,
-0.5242865085601807,
0.428851842880249,
0.6464647054672241,
-0.04910385608673096,
-0.06859749555587769,
-0.10863436013460159,
0.15608671307563782,
-0.3387810289859772,
0.2528764307498932... |
Given the task definition and input, reply with output. In this task, you are given a sentence in English, and your task is to translate it into Persian.
That's because he says he doesn't see any fundamental changes. "The election of Mr. Rouhani, to me, is just a cosmetic change.
| به این دلیل که وی هیچ تغییر بنیادینی در ساختار نمیبیند و از نظر او انتخاب آقای روحانی تنها یک تغییر ظاهری است. | 5 | NIv2 | task663_global_voices_en_fa_translation | zs_opt | [
-0.8484910726547241,
1.3264909982681274,
0.3964351415634155,
-0.4242992401123047,
-0.5010903477668762,
0.11062144488096237,
0.5622854232788086,
0.7144830822944641,
0.331415057182312,
0.19006966054439545,
-0.4285014867782593,
0.35190173983573914,
0.5856282711029053,
0.21173977851867676,
-... |
A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
Example Input: നിങ്ങള് സന്ദര്ശിക്കുന്ന സ്ഥലങ്ങളില് ഒരു പുതിയ ലോകമുണ്ടാകും.
Example Output: A new world will come into being in the places you visit... | The CMFRI would extend technical support to the farmers on each phases of the cage farming to empower them becoming entrepreneurs in the field, said Dr A Gopalakrishnan, Director of CMFRI.
| 3 | NIv2 | task1022_pib_translation_malayalam_english | fs_opt | [
0.2822922468185425,
0.16776427626609802,
-0.15149566531181335,
-0.2762530446052551,
0.09888848662376404,
-0.4240208864212036,
0.2076597660779953,
0.9201936721801758,
-0.5294384956359863,
0.15568478405475616,
-0.7296562194824219,
0.007156673353165388,
-0.768254816532135,
-0.4243090152740478... |
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 generally about a person.... | No | 9 | NIv2 | task632_dbpedia_14_classification | fs_opt | [
-0.387884259223938,
0.20075783133506775,
-0.02952531725168228,
-0.2365487515926361,
0.017364567145705223,
-0.29115745425224304,
0.7208898067474365,
0.9730286598205566,
-0.6875787973403931,
0.08341406285762787,
0.1271621733903885,
0.2595228850841522,
0.2579447031021118,
-0.1387811303138733,... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
[Q... | Offensive
| 5 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.5298391580581665,
0.36418962478637695,
0.3949000835418701,
0.4892728328704834,
0.048701271414756775,
-0.9604396820068359,
0.16471615433692932,
0.576377272605896,
0.04852413386106491,
0.23841890692710876,
-0.45608967542648315,
-0.7396963238716125,
-0.6665619015693665,
-0.9975125789642334... |
Definition: In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to ... | Who would listen to this? | 2 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-0.966504693031311,
0.6999369859695435,
-0.06871023774147034,
-0.14809006452560425,
-0.12494422495365143,
-0.21701595187187195,
0.14835983514785767,
-0.16835317015647888,
0.4208764433860779,
-0.1589251309633255,
-0.320855975151062,
0.10636244714260101,
-0.9728201627731323,
0.12635283172130... |
Detailed Instructions: In this task, you are given a food review in Persian, and you have to extract aspects of the food mentioned in the text. We define aspects as taste/smell(طعم), nutritional value(ارزش غذایی), product quality(کیفیت), delivery(ارسال), packaging(بسته بندی) and purchase value/price(ارزش خرید). Althoug... | طعم | 8 | NIv2 | task529_parsinlu_food_aspect_detection | zs_opt | [
-0.2819952964782715,
0.7205619215965271,
-0.15457218885421753,
-0.28243622183799744,
-0.5793441534042358,
-0.21509167551994324,
1.061957836151123,
0.5579351782798767,
-0.537976861000061,
0.007631420157849789,
-0.023023851215839386,
0.5053880214691162,
-0.897980809211731,
0.1008294522762298... |
Instructions: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for a... | How did he feel when he went through what he went through ? | 3 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
0.8864836692810059,
0.5169410109519958,
-0.17723169922828674,
-0.48731645941734314,
-0.373047411441803,
-0.2071288526058197,
0.6358610391616821,
1.0154550075531006,
-0.1614975780248642,
-0.14341096580028534,
-1.1831084489822388,
-0.2697918117046356,
-1.0366556644439697,
0.7539272308349609,... |
Detailed Instructions: In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Q: Gujarati: સાઈવૉક પર એકબીજા બાજુમાં ઘણી બધી બાઇક પાર્ક છે
Engl... | No | 9 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-0.5450407266616821,
0.413646936416626,
0.2018405795097351,
0.26346975564956665,
0.17218849062919617,
-1.0550378561019897,
0.20446723699569702,
0.015445436351001263,
-0.06447222828865051,
-0.2916918098926544,
0.17521345615386963,
0.541221022605896,
-0.6401139497756958,
0.33622801303863525,... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Q: Ma non ha insistito in internet, si è tenuto i soldi, e ha investito invece sui videogame.
A: | לא השקיע ברשת, שמר על כספו, והחליט להשקיע במשחקי מחשב. | 4 | NIv2 | task1251_ted_translation_it_he | zs_opt | [
-0.10899335891008377,
0.4050987660884857,
-0.6991512179374695,
0.06489937007427216,
-0.9457243084907532,
0.09710539877414703,
1.0020804405212402,
0.6348587274551392,
0.4186439514160156,
-0.6093497276306152,
0.8130514621734619,
0.5390282869338989,
-1.0266084671020508,
-0.6224488019943237,
... |
TASK DEFINITION: In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
PROBLEM: بهترین راه برای افزایش بهره وری کشاورزی چیست؟ <sep> من بیش از 1 سال صاحب یک شرکت تبلی... | paraphrase
| 8 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-0.9555189609527588,
0.47656360268592834,
-0.0918317437171936,
-0.4227541983127594,
-0.9864234924316406,
0.6164436340332031,
1.5280921459197998,
0.6989390254020691,
0.22793425619602203,
-0.1253470629453659,
-1.0280625820159912,
-0.00863865576684475,
-0.3198882043361664,
0.3876364231109619,... |
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 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 pro... | drink with a straw | 0 | NIv2 | task081_piqa_wrong_answer_generation | fs_opt | [
0.23719942569732666,
0.4042494297027588,
-1.038891077041626,
0.3485333323478699,
0.21146632730960846,
-0.4126620292663574,
0.8440232276916504,
0.9580196142196655,
-0.28362399339675903,
0.28859174251556396,
0.31811127066612244,
0.16606031358242035,
-0.2019365429878235,
-0.13363105058670044,... |
Definition: In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains informa... | 1 | 2 | NIv2 | task1541_agnews_classification | zs_opt | [
-0.9035700559616089,
0.4795759618282318,
-0.057338085025548935,
-0.4520975947380066,
-0.25891992449760437,
-0.4677761197090149,
0.2628013789653778,
0.4653712511062622,
0.09312179684638977,
-0.2650722861289978,
-0.841415286064148,
0.6699038743972778,
-0.4093998670578003,
0.4228092432022095,... |
Detailed Instructions: In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Q: Had no taste and after the heat of the dish i... | 2 | 9 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
-0.17019042372703552,
-0.08405666798353195,
0.3917328715324402,
0.20843586325645447,
0.5331155061721802,
-0.0030300337821245193,
0.6558583974838257,
0.7471150755882263,
-0.9106196761131287,
0.7669605612754822,
-0.12015829980373383,
-0.32357197999954224,
-0.7347108125686646,
0.0931485816836... |
Teacher:Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Teacher: Now, understand the problem? Solve this instance: Japanese: 「連帯」はヴァウェンサ氏が1990年から1995年に大統領を務... | No | 6 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-0.6943795680999756,
0.10047861933708191,
0.3011009991168976,
-0.43556204438209534,
-0.03548506647348404,
-0.16420577466487885,
0.2929871678352356,
0.6011142730712891,
-0.2851724922657013,
0.21410299837589264,
0.3861798346042633,
0.6202102899551392,
-0.18216319382190704,
0.3360018432140350... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Q: Context: Police form circular wall. Rep... | yes
****
| 4 | NIv2 | task242_tweetqa_classification | fs_opt | [
0.8221733570098877,
-0.0877542570233345,
-0.7132411003112793,
0.4654637575149536,
0.10446727275848389,
-0.6285122632980347,
-0.17033922672271729,
0.6511972546577454,
-0.1885935366153717,
0.8387458920478821,
-0.42500799894332886,
0.13882343471050262,
-0.15870130062103271,
0.6625732183456421... |
Definition: Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Av... | Does tumor size improve the accuracy of TNM predictions in patients with renal cancer? | 2 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.8259464502334595,
0.4973320960998535,
-0.48101794719696045,
0.35875532031059265,
0.31020453572273254,
0.07172803580760956,
0.44156551361083984,
1.2490341663360596,
0.02214774116873741,
0.6521903872489929,
-0.5863445401191711,
0.27252650260925293,
-0.45013099908828735,
0.20269545912742615... |
In this task, you are given a question. You have to answer the question based on your information.
Ex Input:
Dyson is a well-known maker of ring-shaped bladeless fans, but which Japanese company invented them, in 1981?
Ex Output:
Toshiba
Ex Input:
Cowie Water is south of which ruined fortress in Scotland?
Ex Outpu... | Massachusetts
| 1 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
0.1688460111618042,
0.23252776265144348,
0.14827203750610352,
0.19549380242824554,
0.3450967073440552,
-0.49639177322387695,
0.7982839345932007,
0.3741152286529541,
0.25657084584236145,
0.091240294277668,
0.48334816098213196,
0.17216357588768005,
-0.28751546144485474,
0.0009377911919727921... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return... | Unidentifiable | 1 | NIv2 | task350_winomt_classification_gender_identifiability_pro | zs_opt | [
-0.9179826974868774,
0.58011394739151,
0.21781590580940247,
-0.3521115183830261,
0.5269491672515869,
0.17066803574562073,
-0.1394566297531128,
0.5344175100326538,
0.6982693672180176,
-0.08712629228830338,
-1.1339795589447021,
-0.043943241238594055,
-0.41431787610054016,
-0.2970408797264099... |
The input is a sentence with a missed word and an emotion. Your task is to fill in the blank with a word that matches the emotion and rewrite the completed sentence. The emotion is one of ['fear', 'joy', 'anger', 'sadness'].
SENTENCE: My uncle found himself in an <blank> situation.
EMOTION: anger | My uncle found himself in an annoying situation. | 0 | NIv2 | task1339_peixian_equity_evaluation_corpus_text_completion | zs_opt | [
-0.511501669883728,
0.6942640542984009,
0.3631479740142822,
-0.784310519695282,
-0.23055166006088257,
-0.14655469357967377,
1.3054745197296143,
0.8504441380500793,
0.3859386444091797,
-0.42266330122947693,
-0.26602813601493835,
-0.4655338525772095,
-0.7096729278564453,
0.2045682668685913,
... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Input: Déronlle bondade á sociedade, e decatámonos disto a medida que unha muller tras outra subía a este escenario no último día e medio.
Output: | Han infundido la bondad en las sociedades y es lo que realmente hemos sentido a medida que una mujer tras otra se ha parado en este escenario en este último día y medio. | 2 | NIv2 | task1240_ted_translation_gl_es | zs_opt | [
-0.35464975237846375,
0.9804243445396423,
-0.05474206060171127,
-0.8390103578567505,
-0.09011244773864746,
-1.0672309398651123,
0.45879313349723816,
0.881366491317749,
0.1492697149515152,
0.1998973786830902,
-1.044046401977539,
-0.04965849965810776,
-0.5563160181045532,
0.4012812376022339,... |
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Input: ... | Output: You are likely to find a lion in a painting.
| 2 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
0.31577014923095703,
0.7329450249671936,
-0.26080310344696045,
0.01279534213244915,
0.08051330596208572,
-0.7347642779350281,
0.3564503788948059,
0.8961392641067505,
0.2496453821659088,
-0.2205459326505661,
-0.2559577226638794,
-0.1351662427186966,
-0.5154062509536743,
-0.17686431109905243... |
TASK DEFINITION: In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
PROBLEM: 8... | 170
| 8 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
-0.09546759724617004,
0.36337727308273315,
-0.6426302790641785,
0.0008556707762181759,
-0.6349230408668518,
0.22334334254264832,
0.8716213703155518,
0.775931179523468,
-0.025018194690346718,
-0.31379085779190063,
-1.003580093383789,
-0.15878690779209137,
-0.42553040385246277,
0.67054945230... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Example: Cando chegas a estas sociedades en desenrolo, as mulleres son os piares da súa comunidade, pero os homes seguen a ser os que controlan as rúas.
Example solution: وقتی به این جامعه های در حال توسعه می روید زنها رکن ... | Solution: این دقیقا اتفاقی است که در بدن شما می افتد. | 5 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-1.0249853134155273,
1.1077752113342285,
-0.2926025390625,
-0.42418017983436584,
-0.28367844223976135,
-0.6429375410079956,
0.9637036323547363,
0.9520347118377686,
-0.1880386769771576,
-0.18144093453884125,
-1.544358730316162,
0.5715243220329285,
-1.0138483047485352,
0.1495230793952942,
... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
We can see that our eyes are constantly moving in this wobbly motion. | ניתן לראות שעינינו נעות כל הזמן באופן בלתי יציב. | 0 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
0.21952581405639648,
0.9008437395095825,
0.47285473346710205,
-0.0736319050192833,
-0.2609153985977173,
0.2343883067369461,
0.1318565309047699,
0.22722432017326355,
0.910680890083313,
-0.04579993337392807,
-0.3384498059749603,
-0.828673243522644,
-0.516698956489563,
0.16052573919296265,
... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Teacher: Now, understand the problem? Solve this instance: そういったことは何もこれが初めてではありませんアクセシビリティがイノベーションを刺激することを歴史は示しています
Student: | And this is actually not the first time this happened, because history shows us accessibility ignites innovation. | 6 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
0.11768078804016113,
-0.12626570463180542,
0.6262617111206055,
-0.4207683503627777,
-0.7396720051765442,
-0.41307955980300903,
0.43396490812301636,
0.23555125296115875,
0.2408590316772461,
-0.6106648445129395,
-0.07326319813728333,
-0.4829259216785431,
-0.11452558636665344,
-0.469195783138... |
Definition: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event.... | Yes | 2 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
0.10131119191646576,
-0.20125892758369446,
0.42106038331985474,
0.060669466853141785,
-0.022547004744410515,
-0.9996228218078613,
0.8111051321029663,
0.24356681108474731,
-0.42121782898902893,
-0.505517303943634,
-0.14854426681995392,
-0.1762201488018036,
-0.3316364586353302,
0.25743880867... |
Detailed Instructions: In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used i... | False | 9 | NIv2 | task346_hybridqa_classification | zs_opt | [
0.5190529823303223,
-0.2952786087989807,
-0.2787129878997803,
0.2356385439634323,
-0.08453284204006195,
-0.9626646041870117,
0.8563783168792725,
0.6604810953140259,
-0.2772950530052185,
-0.49569156765937805,
-0.502779483795166,
0.6017125844955444,
-0.272227942943573,
0.20735861361026764,
... |
Definition: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Input: 1, ['E', '5169']
Output: | 5169 | 2 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
0.5380020141601562,
0.06769752502441406,
-0.46152496337890625,
0.010938875377178192,
-0.0837881788611412,
-0.07641537487506866,
0.3725523352622986,
0.28968286514282227,
-0.1393941044807434,
-0.22789135575294495,
-0.9161105155944824,
-0.12172132730484009,
0.1660120189189911,
-0.099202580749... |
Teacher:In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You... | No | 6 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.1645193099975586,
0.10883595049381256,
0.4029099941253662,
0.3589373826980591,
-0.2956189513206482,
-1.2124829292297363,
0.8061577081680298,
0.9121108055114746,
-0.5133030414581299,
-0.3856012225151062,
-0.25973114371299744,
-0.28782063722610474,
-0.8219122886657715,
-0.07984565943479538... |
You will be given a definition of a task first, then some input of the task.
Rewrite each original sentence in order to make it easier to understand by non-native speakers of English. You can do so by replacing complex words with simpler synonyms (i.e. paraphrasing), deleting unimportant information (i.e. compression),... | Vättern is believed to be the biggest body of drinkable water in the world. | 1 | NIv2 | task111_asset_sentence_simplification | zs_opt | [
-0.006245139986276627,
0.99870765209198,
0.08472834527492523,
-0.041066624224185944,
-0.039063721895217896,
-0.2744610011577606,
0.9412396550178528,
-0.36895012855529785,
0.017580494284629822,
-0.1595788598060608,
0.23695336282253265,
-0.1260417252779007,
-0.5131368041038513,
-0.0403052046... |
Detailed Instructions: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Q: Context: We ... | why does parlour magazine like ginsberg? | 9 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-0.8608569502830505,
0.353967547416687,
0.12804749608039856,
0.22834786772727966,
0.15959511697292328,
-1.0089445114135742,
-0.2675386369228363,
0.26509392261505127,
0.48548585176467896,
0.45302239060401917,
-0.5812437534332275,
0.03543819114565849,
-0.7133150100708008,
0.1694352626800537,... |
Instructions: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that migh... | weakener | 3 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.4301135540008545,
0.7612460851669312,
-0.11191632598638535,
-0.011425063945353031,
-0.1254820078611374,
-0.5530768632888794,
0.8814398646354675,
1.247990608215332,
0.4009876549243927,
-0.44173598289489746,
-1.0826380252838135,
-0.06226976960897446,
-0.7488722801208496,
-0.40542760491371... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
One example is below.
Q: Person1: Are you ready to order , sir ?
... | 0 | 9 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.3506375551223755,
-0.13819696009159088,
-0.3674788475036621,
0.20934106409549713,
0.6733318567276001,
-1.234582781791687,
0.9249659776687622,
0.933107852935791,
-0.665539026260376,
-0.30987676978111267,
-0.10478850454092026,
0.34078681468963623,
-0.758002758026123,
0.1314617395401001,
... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | turn opposite right thrice and walk right twice
| 7 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.6197304725646973,
0.9345651865005493,
-0.5224556922912598,
0.2347719669342041,
-0.12827172875404358,
0.10348539799451828,
-0.09127316623926163,
0.7892009019851685,
-0.3805772662162781,
-0.24926266074180603,
-0.6031140089035034,
-0.16013363003730774,
-0.6000734567642212,
-0.12040127813816... |
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 ... | annoyed | 6 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
-0.18701624870300293,
0.11036215722560883,
0.1894606649875641,
-0.5085635185241699,
0.18027281761169434,
0.018889881670475006,
0.896298885345459,
0.5722373723983765,
0.07458586990833282,
-0.19172212481498718,
-0.06054013967514038,
-0.2963648736476898,
-0.9562174677848816,
0.196307480335235... |
Given the task definition and input, reply with output. A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
సామాజిక మరియు కార్మిక రంగాల లో సహకారానికి సంబంధించి బిఆర్ఐసిఎస్ (బ్రిక్స్) దేశాల మధ్య ఎంఒయు కు ఆమ... | سماجی روزگار کے شعبوں میں برکس ممالک کے مابین تعاون کی مفاہمت کو کابینہ کی منظوری | 5 | NIv2 | task1037_pib_translation_telugu_urdu | zs_opt | [
-0.35581642389297485,
1.058422327041626,
0.3159186542034149,
-0.09752000868320465,
0.09351535141468048,
-0.15289992094039917,
0.5238385796546936,
-0.5124043226242065,
0.5293697118759155,
0.016388993710279465,
-0.3830808401107788,
-0.35548678040504456,
0.2760336399078369,
0.1488593518733978... |
Part 1. Definition
Translation from English to Telugu.
Part 2. Example
Many strange legends are told of these jungles of India, but none so strange as the story of a small boy named Mowgli.
Answer: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అరణ్య యొక్క చెప్పబడ్డాయి, కానీమోగ్లీఅనేచిన్నబాలుడుకథ కాబట్టి వింత
Explanation: The tra... | హే. | 7 | NIv2 | task1330_open_subtitles_en_te_translation | fs_opt | [
0.02103247493505478,
0.8460252285003662,
0.06275172531604767,
-0.0679311603307724,
-0.6466990113258362,
-1.103428840637207,
-0.11781708896160126,
-0.09502129256725311,
-0.2811962068080902,
-0.5613695979118347,
-1.381554126739502,
-0.08811239898204803,
-0.7839940190315247,
-0.17739900946617... |
In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.
One example: Everyone had an opportunity to share th... | English | 6 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | fs_opt | [
0.08508579432964325,
0.36583203077316284,
0.7453737258911133,
-0.10786142945289612,
0.27383363246917725,
-0.36313682794570923,
0.0409766286611557,
0.4013536870479584,
0.554590106010437,
-0.403496652841568,
0.1962563693523407,
0.3438031077384949,
-0.593429446220398,
-0.30049070715904236,
... |
Instructions: 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.
Input: Bought this for our new kitchen coffeemaker.
Output: | Good Review | 3 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.5532122254371643,
-0.031145280227065086,
-0.6457266807556152,
0.039628155529499054,
0.35951632261276245,
-0.7216249704360962,
0.33709782361984253,
1.0675030946731567,
0.39201411604881287,
0.7863399982452393,
0.04002029076218605,
0.02220216952264309,
0.10724198818206787,
-0.1544942259788... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.