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 will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal... | NNP NNP NN VBD DT NN IN NNP NN NNP NNP NN IN . | 1 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
0.41873276233673096,
0.15243816375732422,
-0.31639426946640015,
0.46908432245254517,
-0.00009205838432535529,
-0.488870233297348,
1.0737844705581665,
0.6212960481643677,
-0.2084086388349533,
-0.4343487620353699,
-0.1410355567932129,
0.41352376341819763,
-0.07404152303934097,
0.172302603721... |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Input: Consider Input: Question: Who won t... | Output: In 1916 he was promoted to the rank of lieutenant colonel and became an adjutant at the staff of the 48th Corps in the area of the Romanian front
| 2 | NIv2 | task234_iirc_passage_line_answer_generation | fs_opt | [
0.4038674831390381,
0.6589285135269165,
-0.9183194637298584,
-0.6064856648445129,
0.6785449385643005,
0.4307364225387573,
1.0400850772857666,
0.7978063225746155,
-0.4019409418106079,
0.305685818195343,
0.13446462154388428,
0.32956361770629883,
-0.7466867566108704,
0.37699252367019653,
-0... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Ex Input:
When did the earth and solar system form?
Ex Output:
When did the Solar System fo... | In which layer of skin are the blood vessels of the skin located?
| 1 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.04945012181997299,
0.860816240310669,
-0.1332397609949112,
0.2764340043067932,
-0.7225912809371948,
-1.0268917083740234,
-0.22617113590240479,
-0.1040710061788559,
0.07999557256698608,
-0.27283334732055664,
0.0842510312795639,
-0.22663524746894836,
-0.7304072380065918,
-0.31474050879478... |
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit... | 16 | 3 | NIv2 | task956_leetcode_420_strong_password_check | fs_opt | [
0.8290229439735413,
1.087579369544983,
-0.007887364365160465,
-0.7177528142929077,
0.011202488094568253,
-0.2699700593948364,
1.2911581993103027,
-0.29681792855262756,
0.31987130641937256,
-0.9610046148300171,
-0.017383625730872154,
-0.20065242052078247,
-0.8689497113227844,
-0.45096510648... |
Detailed Instructions: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do ... | after filling the tank | 9 | NIv2 | task165_mcscript_question_answering_commonsense | zs_opt | [
0.15575823187828064,
0.47525572776794434,
0.012929249554872513,
-0.12169121205806732,
-0.35753053426742554,
-1.390944480895996,
0.503014087677002,
0.9437856674194336,
-0.03136127069592476,
0.801563024520874,
-0.010648882016539574,
-0.5357718467712402,
0.35833311080932617,
0.270618557929992... |
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 .
Example input: Statement: ਅਮੀਯਾਹ ਸਕੌਟ ਅਸਲ ਵਿੱਚ 11 ਜਨਵਰੀ 1988 ਨੂੰ <MASK> ਸ਼ਹਿਰ ਵਿੱਚ ਇੱਕ ਵੱਖਰੇ ਨਾਮ ਨਾਲ ਪੈਦਾ ਹੋਈ ਸੀ।... | ਬਿਹਾਰ | 3 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
0.4102421998977661,
0.3179777264595032,
0.5017935633659363,
0.11492115259170532,
-0.15120889246463776,
-0.8828607797622681,
0.085745669901371,
0.2234378308057785,
-0.12557896971702576,
0.2552419602870941,
-0.3492611050605774,
0.3334885537624359,
-1.2333052158355713,
-0.08907628804445267,
... |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example is below.
Q: Review: For a movie that gets no respect t... | yes | 9 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.48221415281295776,
0.038487691432237625,
-0.3714882433414459,
0.307725191116333,
0.483334481716156,
-0.6770871877670288,
0.17570790648460388,
0.5495843887329102,
-0.043418217450380325,
-0.04026241600513458,
-0.3655077815055847,
0.09278836846351624,
-0.22193491458892822,
0.05110410228371... |
Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear view tow... | Positive | 0 | NIv2 | task420_persent_document_sentiment_classification | zs_opt | [
-0.38355115056037903,
0.028241662308573723,
-0.027817824855446815,
0.24883462488651276,
0.585529625415802,
0.33041131496429443,
0.7838732600212097,
1.0614467859268188,
0.6519243121147156,
0.34724271297454834,
-0.06103193387389183,
1.0709717273712158,
-0.5199458599090576,
-0.169914424419403... |
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Let me give you an example: (A) trying to be a decent parent
(B) remaining Friendly with my racist co... | A | 8 | NIv2 | task106_scruples_ethical_judgment | fs_opt | [
-0.3175159692764282,
0.6252508759498596,
0.6411750912666321,
-0.4028717279434204,
-0.7349286079406738,
-0.26293253898620605,
0.39366382360458374,
0.6188194751739502,
0.2574062943458557,
0.6664364337921143,
-0.09323935210704803,
0.22208626568317413,
-0.1887143850326538,
-0.8984988927841187,... |
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 sentence in English. Your job is to translate the English sentence into Japanese.
And it was primarily because Kiribati realized that this was in their own self-interest to do this.
... | 私達の慣習の中に反対意見が公然と存在するにも関わらず続いている慣習はあるだろうか ？ | 0 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.6588602662086487,
0.2871890068054199,
-0.1861458718776703,
-0.28203991055488586,
-0.13976113498210907,
-0.6639515161514282,
1.0263926982879639,
-0.20177078247070312,
0.24572759866714478,
-0.21528059244155884,
-0.4092165231704712,
-0.3556510806083679,
-0.38658976554870605,
0.2760374844074... |
Given the task definition and input, reply with output. In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Comment: "goo... | Non-sexual-explicit | 5 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-0.9663600325584412,
0.12870720028877258,
-0.0108141228556633,
0.01698962412774563,
-0.27939730882644653,
0.22228246927261353,
0.44172173738479614,
0.7830960154533386,
0.3430696129798889,
0.2915313243865967,
0.09541783481836319,
0.014499619603157043,
0.10336052626371384,
-0.598391056060791... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Input: 免疫系の最前線部隊は侵入者を発見します
Output: | L 'invasore attira l'attenzione delle sentinelle di prima linea del sistema immunitario. | 3 | NIv2 | task1096_ted_translation_ja_it | zs_opt | [
0.3738260865211487,
0.21989446878433228,
-0.36299270391464233,
0.4937538206577301,
-0.3600168228149414,
-1.331726312637329,
-0.4471559524536133,
0.5419820547103882,
0.3512210547924042,
0.10820522904396057,
-0.6559823751449585,
-0.1341753602027893,
-0.6071844100952148,
-0.06184767186641693,... |
You are given a statement written in Malayalam. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: 1968 ഡിസംബർ 22 ന്, പിതാവ് പ്രസിഡന്റായി തിരഞ്ഞെടുക്കപ്പെട്ടെങ്കിലും അധികാരമേറ്റെടുക്കുന്നതിനുമുമ്പായി... | ഫിലാഡൽഫിയയുടെ | 0 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | zs_opt | [
0.08762902766466141,
0.40270549058914185,
-0.3027324676513672,
-0.048839449882507324,
-0.16031785309314728,
-0.16796424984931946,
0.181149423122406,
1.198944091796875,
-0.16414901614189148,
-0.23077377676963806,
0.05913703143596649,
0.2328084111213684,
-0.43919479846954346,
-0.407316744327... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
One example: در جنوب غرب نیجریه ، این گیاه به عنوان Gbe'borun شناخته می شود.
Solution is here: In the southwestern part of Nigeria, the plant is known as Gbe'borun.
Explanation: The Farsi sentence is correctly translated in... | You can see it even better from down on top. | 6 | NIv2 | task1265_ted_translation_fa_en | fs_opt | [
-0.7977871894836426,
0.22813838720321655,
0.05985222011804581,
-0.3496425747871399,
0.03669071942567825,
-0.6568828821182251,
1.1557056903839111,
-0.06196161359548569,
0.018635401502251625,
0.23942086100578308,
-1.1511547565460205,
0.07396864891052246,
-1.0742104053497314,
0.62713557481765... |
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 disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Who did the Han Chinese want to help the Khitan no I mean the Mongols fig... | What is subtracted to its constituency seats? | 0 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
-0.7625847458839417,
0.7919992208480835,
0.18574103713035583,
-0.6289269924163818,
-0.20531150698661804,
-0.9028594493865967,
1.2897837162017822,
0.2884999215602875,
0.6231310963630676,
-0.14744243025779724,
-0.4159294366836548,
-1.0296719074249268,
-0.5627990961074829,
0.11451752483844757... |
In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types of ... | Race | 0 | NIv2 | task280_stereoset_classification_stereotype_type | zs_opt | [
-0.3208810091018677,
0.5270973443984985,
0.029871076345443726,
-0.06465966999530792,
-0.023693591356277466,
0.06151223182678223,
0.6841518878936768,
0.8182669281959534,
0.4620262682437897,
0.039977096021175385,
-0.8762171268463135,
-0.11396314203739166,
-0.7976770997047424,
-0.078954696655... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Teacher: Now, understand the problem? Solve this instance: והסיבה לכך היא הופעת מחלה חדשה, סרטן מדבק.
Student: | ودلیل اون ظهور یک بیماری جدید یک سرطان واگیرداره. | 6 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.5862793326377869,
0.1542195975780487,
0.2827085256576538,
-0.915308952331543,
-0.10992347449064255,
-0.02609236165881157,
0.2836812138557434,
0.6352572441101074,
1.0887987613677979,
0.2046082615852356,
-0.24768048524856567,
0.5744491815567017,
-0.7547361850738525,
0.010915551334619522,
... |
Detailed Instructions: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
See one example below:
Problem: و همان کسى که جفتها را یکسره آفرید، و براى شما از کشتیها و دامها [وسیلهاى که] سوار شوید قرار داد.
Solution: He who created pairs of everything, and fa... | To end all argument or to warn. | 4 | NIv2 | task657_quran_fa_en_translation | fs_opt | [
-0.2903502881526947,
0.4389752149581909,
-0.33708447217941284,
-0.25727084279060364,
-0.16647349298000336,
-0.5356414318084717,
0.9585832357406616,
0.3533516824245453,
-0.06356526911258698,
-0.1474476307630539,
-0.8011709451675415,
1.141003131866455,
-0.5846911668777466,
0.4323334693908691... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another in... | green_basket | 4 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
0.3889980912208557,
-0.22930100560188293,
-0.1263064295053482,
0.08738109469413757,
-0.440415620803833,
-0.3994016945362091,
0.2419273853302002,
0.772843062877655,
0.1592808961868286,
-0.2839353680610657,
-0.3503403961658478,
0.3641752600669861,
0.216781884431839,
0.03904097154736519,
1.... |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: ノルウェーの下院議員であり、医者であるOlavGunnarBalloは、娘であるKajaが2008年3月にフランスでサイエントロジーのテストに関する否定的な経験をした後突然自殺して... | No
| 0 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
-0.09167052805423737,
-0.2768092453479767,
-0.6744717359542847,
-0.1087108850479126,
0.24295249581336975,
-0.6794957518577576,
0.5405018329620361,
0.41892707347869873,
-0.2771397829055786,
0.30851444602012634,
0.2775496244430542,
0.8073768615722656,
-0.902226448059082,
0.20662778615951538,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given a review from Amazon. 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, 4: g... | 2 | 0 | NIv2 | task1310_amazonreview_rating_classification | fs_opt | [
0.4055594801902771,
0.40543100237846375,
-0.49087756872177124,
0.09009833633899689,
0.34509772062301636,
-0.7997262477874756,
0.46696507930755615,
1.2610217332839966,
-0.5087125301361084,
0.461215078830719,
0.00555224996060133,
0.3186495304107666,
-0.2120458036661148,
-0.07273994386196136,... |
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Totally solid place! Excellent drink selections to include a variety of beers on draft. I went with a Tuna Steak sandwich. It was really awesome, a fresh high quality tuna steak that was seasoned and cooked to... | 4 stars
| 0 | NIv2 | task1292_yelp_review_full_text_categorization | fs_opt | [
0.3342926800251007,
-0.7444105744361877,
-0.671553909778595,
-0.14961254596710205,
0.5944325923919678,
-0.06462876498699188,
1.240795373916626,
1.552947759628296,
0.034291647374629974,
0.1553494781255722,
0.4549388885498047,
-0.011087645776569843,
-0.3442605137825012,
0.1300278604030609,
... |
You will be given a context and a verb separated with a newline character, and you have to answer if the given verb can be anchored in time or not. We say a verb can be anchored in the real timeline if and only if a verb happened in the past, is happening now, or is guaranteed to happen in the future. The output should... | Solution: Yes | 5 | NIv2 | task383_matres_classification | fs_opt | [
0.3805549442768097,
0.6625235080718994,
0.45361071825027466,
0.12107589840888977,
-0.03587142005562782,
-0.3804253935813904,
0.4236721992492676,
0.5920404195785522,
-0.47065088152885437,
0.3409428298473358,
-0.24302348494529724,
0.4177526831626892,
-0.8047875165939331,
0.4089488387107849,
... |
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.
Example input: 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。
Example output: ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ... | ໂຄສົກຍິງທຳນຽບຂາວດານາເປຣິໂນຢືນຢັນການມີຢູ່ຂອງເອກະສານປີ2005 ແຕ່ບໍ່ໄດ້ກ່າວວ່າເທັກນິກເຊັ່ນການຕົບຫົວ ບັນຍັດ "ການທໍລະມານ" ດ້ວຍໄມ້ກະດານນ້ຳຢູ່ພາຍໃຕ້ກົດໝາຍຂອງລັດ. | 3 | NIv2 | task1124_alt_ja_lo_translation | fs_opt | [
-0.4398658871650696,
0.5452983379364014,
-0.7397589087486267,
-0.07103976607322693,
-0.2519679665565491,
-0.517876148223877,
0.3118510842323303,
0.5964604616165161,
0.026848411187529564,
-0.6474539041519165,
-0.9939675331115723,
1.0822381973266602,
-0.8684332370758057,
1.055722713470459,
... |
In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun ph... | Peace talks between the two sides were last held in February .
| 1 | NIv2 | task610_conllpp_ner | fs_opt | [
-0.6218760013580322,
-0.5360052585601807,
-0.13470353186130524,
1.2169570922851562,
0.23857924342155457,
-0.06953410059213638,
0.4849820137023926,
0.24877029657363892,
-0.28037670254707336,
0.06594248861074448,
-0.6758078336715698,
0.008859624154865742,
0.13105913996696472,
0.1407021284103... |
In this task, you are given a sentence in the Gujarati language and your task is to convert Gujarati sentence into the English language.
Example input: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
Example output: A herd of sheep standing together grazing in a pasture.
Example explanation: The translated sentence a... | A blue and yellow Alaska railroad train driving through a grassy and woody area. | 3 | NIv2 | task439_eng_guj_parallel_corpus_gu_en_translation | fs_opt | [
-0.7338680028915405,
0.25895458459854126,
0.43687868118286133,
-0.22292359173297882,
-0.08144783973693848,
-0.5219898819923401,
-0.4133087396621704,
0.3205808401107788,
-0.2707611322402954,
-0.28160813450813293,
-0.6528288125991821,
0.18377667665481567,
-0.15912498533725739,
-0.03891440108... |
Instructions: In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
Input: نصب و عزل فرمانده کل سپاه پاسداران انقلاب اسلامی با کیست؟ <sep> (A) رئیس جمهور (B) وزیر سپاه پاسداران (C) شورای عالی دفا... | D | 3 | NIv2 | task473_parsinlu_mc_classification | zs_opt | [
-0.178349107503891,
0.6405587792396545,
-0.484006404876709,
0.05916963890194893,
-0.5829676389694214,
-0.30254441499710083,
1.3648724555969238,
0.7167568206787109,
0.6766880750656128,
0.2988712191581726,
-0.35356006026268005,
0.25500404834747314,
-0.10065314173698425,
0.423533171415329,
... |
instruction:
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
question:
מה שאומר שעבור חוקר מערות, מחקר זה עלול לקחת שבועות.
answer:
それほど深いと探検には何週間もかかります
question:
(מחיאות כפיים) פט מיטשל: אז בויד, אנחנו יודעים שאתה הכרת את הנשיא מנדלה החל מהילדות המוקדמת ושמעת את החדשות... | 信念の移植を受けても同一人物といえるでしょうか ？
| 9 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.3758721351623535,
0.015933362767100334,
-0.34775325655937195,
0.01601526513695717,
0.17207631468772888,
-0.7301329970359802,
0.5344396233558655,
-0.46819037199020386,
0.3646215796470642,
-0.87809157371521,
-1.0207080841064453,
0.3155004382133484,
-0.4205268621444702,
0.2890077531337738,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
E na vida que todos veem, eu sou um amigo, um filho, um irmão, um comediante e um adolescente.
Output: | E nella vita che vedono tutti io sono un amico, un figlio, un fratello, un cabarettista e un teenager. | 1 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
0.5718084573745728,
0.8055189251899719,
-0.26469066739082336,
-0.41361311078071594,
-0.40314096212387085,
-0.49113231897354126,
0.06613416224718094,
0.7386290431022644,
0.2953492999076843,
-0.3122889995574951,
-0.2673991918563843,
0.0034770946949720383,
-0.14285361766815186,
-0.40273606777... |
Teacher: In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
Teacher: Now, understand the problem? If you are still confused, see the following example:
[1, 2, 3]
Solu... | [-0.247 -0.216 0.782 -0.124 0.766 0.038] | 2 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.4089752435684204,
0.07668667286634445,
-0.6905986666679382,
-0.6904990673065186,
0.573743462562561,
-0.1841469556093216,
0.46383988857269287,
0.4584834575653076,
-0.03726549819111824,
0.052015744149684906,
-0.5374751091003418,
0.09067296236753464,
-0.3081819713115692,
-0.695677757263183... |
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.
--------
Question: Sentence: xname is the best place since it provides decent food. N... | rating[average], location[riverside], familyFriendly[yes]
| 7 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.7179178595542908,
0.12570790946483612,
-0.12213312834501266,
-0.7418076395988464,
-0.07467551529407501,
0.4197309911251068,
0.3882260322570801,
0.5987465381622314,
0.5536502599716187,
-0.27381643652915955,
0.30641329288482666,
-0.686119556427002,
-0.23086421191692352,
-0.326187014579772... |
Given the task definition and input, reply with output. In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem... | arm wrestle again | 5 | NIv2 | task595_mocha_answer_generation | zs_opt | [
-0.224935844540596,
1.0499110221862793,
0.08562780916690826,
-0.08038903772830963,
-0.4141436219215393,
0.3864375352859497,
0.9439852237701416,
-0.07229778170585632,
0.22656114399433136,
-0.25084248185157776,
-0.6520336866378784,
0.03284532576799393,
-0.14018309116363525,
0.393656879663467... |
Definition: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should ... | yes i would like second hand music store and other music store listings | 2 | NIv2 | task1714_convai3_sentence_generation | zs_opt | [
0.4497070014476776,
0.29813021421432495,
-0.5920146107673645,
0.06583651900291443,
0.5839725732803345,
-0.1277064085006714,
0.8495342135429382,
0.07250523567199707,
0.6185658574104309,
0.2904665768146515,
-0.34844422340393066,
-0.1338646411895752,
-0.4318552017211914,
0.5446791052818298,
... |
Teacher: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Terán seguro para pagar a receita?
Solution: 処方箋を支払う為の保険は ？
Reason: The Galician sentence is correctly translated into ... | 人権の問題なのです | 2 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.5757687091827393,
0.39264217019081116,
0.5537411570549011,
-1.1937459707260132,
-0.19071738421916962,
-0.7907043099403381,
1.100358486175537,
0.17403040826320648,
-0.06973303854465485,
-0.6712610721588135,
-0.2779334783554077,
-0.00574624165892601,
-0.790725588798523,
0.2105610370635986... |
TASK DEFINITION: You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story t... | Baltimore.
| 8 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.6837198734283447,
0.1695828139781952,
-0.49084216356277466,
-0.48040127754211426,
0.06043311953544617,
-0.8212987184524536,
0.6220327615737915,
0.9630749225616455,
-0.4253848195075989,
0.12461058050394058,
-0.12187964469194412,
-0.10929853469133377,
-0.6442363262176514,
-0.15554025769233... |
Instructions: You are given a sentence in English. Your job is to translate the English sentence into Galician.
Input: Should you be running marathons or doing yoga?
Output: | Debemos correr maratóns ou facer ioga? | 3 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-0.3952810764312744,
1.0043052434921265,
-0.597366213798523,
0.4654240608215332,
-1.1606767177581787,
-1.0591504573822021,
-0.4600684642791748,
0.27788400650024414,
-0.28775084018707275,
-1.0527280569076538,
-0.47161024808883667,
0.21858516335487366,
-0.35092371702194214,
-0.48092663288116... |
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning ty... | How long was the longest touchdown pass? | 6 | NIv2 | task026_drop_question_generation | fs_opt | [
0.9306215643882751,
0.6306784749031067,
-0.20497120916843414,
-0.28406620025634766,
0.38850104808807373,
-0.6365498304367065,
1.0234496593475342,
0.5118901133537292,
0.45260730385780334,
-0.1534055471420288,
-0.6609708070755005,
0.5885061025619507,
-0.984078586101532,
0.22864383459091187,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
im not the only one that feels this discomfort and discontent in general as evidenc... | sadness | 5 | NIv2 | task875_emotion_classification | zs_opt | [
0.23198887705802917,
0.4091344475746155,
0.43723613023757935,
-0.2348698079586029,
-0.12874168157577515,
-0.5851030349731445,
0.17565307021141052,
0.38559427857398987,
0.6620563268661499,
-0.2541038990020752,
-0.35950136184692383,
0.3000110983848572,
-0.5322079658508301,
-0.295718938112258... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
[Q]: 残りの2箇所には疑問が残ります
[A]: Lecz pozostałe dwa są nieco wątpliwe.
[Q]: この９割もの時間は建築物に囲まれているのです
[A]: Przez 90% naszego życia jesteśmy otoczeni przez architekturę.
[Q]: ですから皆さんも自分のどの感覚を拡張したいか考えて下さい
[A]: | Pomyślcie, które zmysły chcielibyście wyostrzyć. Pomyślcie, które zmysły chcielibyście wyostrzyć.
| 5 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
-0.8154758214950562,
0.8097637295722961,
0.4401092529296875,
-0.30209022760391235,
-0.6496020555496216,
-0.9815216064453125,
1.0446345806121826,
-0.12014371901750565,
-0.2042819708585739,
-0.4627901315689087,
-0.39689165353775024,
0.5229581594467163,
-1.2776501178741455,
0.5252940654754639... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
One example is below.
Q: M: I am considering dropping ... | She is interested in it. | 9 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
0.1793319582939148,
0.1826375424861908,
0.037542879581451416,
-0.4805656969547272,
0.2718634009361267,
-0.3418971300125122,
0.1534641981124878,
0.6527702212333679,
0.2556677460670471,
-0.18039298057556152,
-0.3601405620574951,
0.09547404944896698,
-0.47575679421424866,
-0.6904059648513794,... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
Example Input: And when presenting your work, drop the bullet points.
Example Output: و هنگامی که کارتان را ارائه می دهید ، آنها را بصورت یک لیست ارائه نکنید.
Example Input: And the model that we're working with in hosp... | آیا این عجیب نیست که ایالات متحده اول اقتصادش را رونق داد و بعد به تدریج ثروتمند شد ؟
| 3 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-0.5802628993988037,
0.821162760257721,
-0.6738792657852173,
0.1429213285446167,
-0.35787612199783325,
-0.33926111459732056,
0.9177989363670349,
0.8190598487854004,
0.38035160303115845,
0.15289725363254547,
-0.5224894285202026,
0.6619365215301514,
-0.164349764585495,
-0.02749725431203842,
... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: 服を脱いでシャワーを浴び有害な放射能物質を除去してください服を脱いでシャワーを浴び有害な放射能物質を除去してください服を脱いでシャワーを浴び有害な放射能物質を除去してください服を脱いでシャワーを浴び有害な放射能物質を除去してください
Student: | E se estiverem vestidos, dispam as vossas roupas todas, e procurem um sítio para tomarem um duche para remover a radiação que seria — o material radioactivo que possa estar em vocês. | 6 | NIv2 | task1099_ted_translation_ja_pt | zs_opt | [
0.09041404724121094,
0.5905196666717529,
-0.7793927192687988,
-0.25623369216918945,
-0.630892276763916,
-1.2692543268203735,
-0.7470652461051941,
0.49377959966659546,
-0.02966090478003025,
0.2436608374118805,
-0.11676457524299622,
-0.0844440758228302,
-0.9078644514083862,
-0.54788994789123... |
In this task, you are given news articles and you need to generate a highlight, i.e., a short summary, with a maximum length of 10 lines.
Q: (CNN) -- San Francisco's new sheriff is facing misdemeanor charges over an alleged domestic abuse incident on New Year's Eve, authorities said. Sheriff Ross Mirkarimi, who was swo... | Sheriff's wife says couple will fight allegations .
Mayor calls charges "extremely serious and troubling"
Ross Mirkarimi is accused of domestic violence . | 4 | NIv2 | task1553_cnn_dailymail_summarization | zs_opt | [
0.5812721252441406,
0.7365807294845581,
-0.4881681799888611,
-0.07422386854887009,
1.4106440544128418,
-0.3968234956264496,
0.4263310432434082,
1.252314567565918,
-0.280471533536911,
-0.15288066864013672,
0.17609760165214539,
1.7582321166992188,
-1.2812412977218628,
0.2573574185371399,
-... |
Detailed Instructions: 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 ans... | Destruction of zygotes. | 9 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.43279099464416504,
0.6074063777923584,
-0.4254220724105835,
0.4317614734172821,
-0.43342089653015137,
-1.3648769855499268,
0.18669219315052032,
1.0172975063323975,
-0.0013875197619199753,
-0.36308619379997253,
-1.0973708629608154,
0.4504358470439911,
-0.863804280757904,
0.385528683662414... |
Given the task definition and input, reply with output. 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 ar... | eager | 5 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
-0.4267897605895996,
0.5224978923797607,
0.15180671215057373,
-0.7631466388702393,
-0.032727017998695374,
0.13324180245399475,
0.4871137738227844,
0.730833888053894,
0.26249590516090393,
-0.29783859848976135,
0.04732300341129303,
-0.009243571199476719,
-0.6101009249687195,
-0.2129237055778... |
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? If you are still confused, see the following example:
Given Relationship: 'make', Sentence: 'Jenny made the announc... | filled | 2 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.3908500373363495,
0.694555401802063,
0.14134061336517334,
-0.08782097697257996,
0.19737032055854797,
-0.8153209686279297,
-0.15029756724834442,
1.1067402362823486,
-0.3755596876144409,
0.10615557432174683,
-0.3058687150478363,
0.5394105911254883,
-0.5689249038696289,
0.12717172503471375... |
Definition: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the s... | ac | 2 | NIv2 | task221_rocstories_two_choice_classification | zs_opt | [
-0.8195737600326538,
0.21217046678066254,
0.24452844262123108,
-0.0955648124217987,
-0.23368056118488312,
0.5376442670822144,
0.9330453872680664,
0.45339420437812805,
-0.07909154891967773,
-0.016420017927885056,
-0.6219061613082886,
-0.3160571753978729,
0.26400983333587646,
0.0171143896877... |
Definition: In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Input: ... | [36, -60, 53, 71, -30] | 2 | NIv2 | task207_max_element_lists | zs_opt | [
0.21080917119979858,
0.06514652818441391,
-1.1514410972595215,
0.13294704258441925,
0.24648258090019226,
0.3379039168357849,
0.7683960199356079,
-0.08786499500274658,
0.3557247519493103,
0.012434899806976318,
-0.8457226753234863,
0.05229564383625984,
-0.18779295682907104,
-0.03516897186636... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Kolejna rzecz jeśli chodzi o indukowane pluripotencjalne komórki macierzyste: jeśli pobierzemy trochę komórek skóry od kogoś z jakąś chorobą genetyczną i wytworzymy z nich tkanki możemy użyć technik inżynierii tkankowej do w... | Ora, secondo me, è questa la scena che viene fuori se si prende la memetica sul serio.
| 0 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-0.8518931865692139,
0.8624491691589355,
-0.49169647693634033,
-0.03562037646770477,
-0.6870896220207214,
-0.1295781433582306,
0.5255178213119507,
0.7124043107032776,
0.46536490321159363,
-0.23692062497138977,
-0.9842371940612793,
1.1284701824188232,
-0.5722583532333374,
0.5010792016983032... |
You will be given a definition of a task first, then some input of the task.
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expand... | Ravana Niranjan Sharma orders Maricha to turn into a deer to entice Sita Sona Chatterjee with the notion of kidnapping her. Rama Trilok Kapoor, Lakshman Prabhash Joshi and Sita are in the Panchavati forest for their fourteenyear exile. Espying the golden deer sent by Ravana to lure Rama away, Sita asks Rama to get it. ... | 1 | NIv2 | task103_facts2story_long_text_generation | zs_opt | [
0.41158270835876465,
0.44932201504707336,
0.062120553106069565,
-0.01586509309709072,
-1.1194642782211304,
-0.2622632682323456,
0.03708488121628761,
0.5385610461235046,
0.1547456979751587,
-0.34262925386428833,
-0.7094964981079102,
-0.08379234373569489,
-0.6106369495391846,
0.7021143436431... |
In this task, you need to replace a letter in the sentence with another given letter.
Q: Sentence: 'a piece of burnt pizza with a spoonful of dessert sitting on top of it'. Replace the letter 'a' with 'o' in the sentence.
A: | o piece of burnt pizzo with o spoonful of dessert sitting on top of it | 4 | NIv2 | task160_replace_letter_in_a_sentence | zs_opt | [
-0.37712156772613525,
0.9399319887161255,
0.107651486992836,
-0.9711198210716248,
-0.5617234706878662,
-0.7559362053871155,
-0.16180062294006348,
0.7503350973129272,
0.5734212398529053,
-0.31733885407447815,
0.20764975249767303,
-0.15737223625183105,
-0.14827324450016022,
-0.14979557693004... |
Teacher:In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Teacher: Now, understand the problem? Solve this instance: Sentence 1: Anita was at a music ... | a | 6 | NIv2 | task220_rocstories_title_classification | zs_opt | [
0.0654880553483963,
0.4793933033943176,
-0.2743702530860901,
0.28003036975860596,
-0.13179928064346313,
-0.4897803068161011,
-0.42755603790283203,
0.76120924949646,
0.4178377687931061,
0.2831212878227234,
-0.11015193164348602,
-0.06483130156993866,
-0.16551804542541504,
-0.5756608247756958... |
Given the task definition and input, reply with output. This task is about translating a given French language sentence to English.
Tu peux dire que c'est un cadeau pour avoir réussi notre année.
| You could call it a graduation gift too. | 5 | NIv2 | task1690_qed_amara_translation | zs_opt | [
-0.7115013599395752,
1.694523572921753,
0.660723090171814,
-0.4461571276187897,
0.2784542143344879,
-0.4061088562011719,
-0.11674869060516357,
0.118303582072258,
0.7561426758766174,
-0.08608046919107437,
-0.36453312635421753,
0.6917628049850464,
-0.6641260385513306,
0.22717449069023132,
... |
Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief ab... | green_cupboard | 3 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
0.5489566326141357,
-0.5821254849433899,
-0.25169360637664795,
0.04683244228363037,
-0.6709083318710327,
-0.19769904017448425,
0.10892608761787415,
0.73801589012146,
0.10690383613109589,
-0.510643720626831,
-0.38711345195770264,
0.5613871812820435,
-0.23672890663146973,
0.04984100162982941... |
Given the task definition and input, reply with output. The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
name[xname], eattype[restaurant], cuisine[English], price[moderate], familyFriendly[no]
| xname is a moderately priced English restaurant with a no children policy | 5 | NIv2 | task1598_nyc_long_text_generation | zs_opt | [
-0.9067994356155396,
0.7919206023216248,
-0.36528727412223816,
0.07533536106348038,
-0.2425195872783661,
-0.11783986538648605,
0.7288491725921631,
0.3809036910533905,
0.22587284445762634,
-1.0144803524017334,
0.3941494822502136,
-0.0630229040980339,
-0.6302371025085449,
-0.1617216765880584... |
Detailed Instructions: 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:چرا باید بعد از عمل بینی قلیون کشید؟ <sep> چرا نباید بعد از عمل بینی سیگار کشید؟... | not-paraphrase | 8 | NIv2 | task465_parsinlu_qqp_classification | zs_opt | [
-0.6880847215652466,
0.760777473449707,
0.040259845554828644,
-0.03714461997151375,
-0.34700238704681396,
0.058185700327157974,
1.3130903244018555,
0.9209340810775757,
0.48286324739456177,
-0.08953018486499786,
-0.05720756947994232,
-0.4312043786048889,
-0.08047281950712204,
0.290742486715... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_LOOK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK | 4 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.2095676064491272,
0.9515591859817505,
-0.20740963518619537,
0.17268063127994537,
-0.07302913069725037,
-0.09288643300533295,
0.03364778310060501,
-0.01671130396425724,
-0.19793187081813812,
-0.2603458762168884,
-0.7035316824913025,
-0.09126874804496765,
-0.6590406894683838,
-0.1545392274... |
In this task, you are given books product reviews in English 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.
Ex Input:
Laugh Out Loud On Every Page . I had never heard of The Borowitz Report until a... | POS
| 1 | NIv2 | task476_cls_english_books_classification | fs_opt | [
0.23781821131706238,
0.10325823724269867,
-0.31639569997787476,
-0.2996574342250824,
0.4676511287689209,
-0.07051759958267212,
1.4264262914657593,
0.5286343097686768,
0.29318562150001526,
0.0965874195098877,
-0.8660537004470825,
0.27897441387176514,
-0.542116641998291,
-0.24720793962478638... |
TASK DEFINITION: Given a sentence in French, generate a new French 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 prob... | Il est nécessaire d'aider l'oxygène.
| 8 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | fs_opt | [
0.41396233439445496,
0.6520588994026184,
-0.0385848805308342,
-0.6803973913192749,
-0.06850965321063995,
0.16151544451713562,
1.3637603521347046,
0.11470568180084229,
0.32621484994888306,
-0.5330401659011841,
-0.753332257270813,
-0.35096195340156555,
-0.23856303095817566,
0.126347333192825... |
In this task, you're given a text which is the body of a document and a title which is the title of the document. Here the title is present in the document and it is the entity which is referred in the document. The title might have some text in parentheses, for example: "HMS Mallow (K81)", or be slightly different fro... | Yes | 0 | NIv2 | task630_dbpedia_14_classification | zs_opt | [
0.3301132023334503,
0.9627625346183777,
0.13318878412246704,
0.5407899618148804,
-0.4782229959964752,
0.04327094554901123,
0.4359044134616852,
1.0683748722076416,
-0.5226336717605591,
-0.1898811161518097,
-0.3573722839355469,
-0.09153985977172852,
-0.464191734790802,
-0.24335886538028717,
... |
Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, finding remainders/GCD/LCM,... | -2/9 | 3 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
-0.744820237159729,
0.34332114458084106,
-0.03076331689953804,
-0.7270745635032654,
0.14130200445652008,
-0.1744997203350067,
0.9674980640411377,
0.9112933278083801,
-0.0025315014645457268,
-0.6941754817962646,
-0.5531305074691772,
0.1976872682571411,
-0.32976028323173523,
0.42815893888473... |
Teacher:In this task, you are given a sentence in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? Solve this instance: یه جنگ توی دنیای آدما .
Student: | a war in human world . | 6 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-0.19679194688796997,
0.7407418489456177,
0.09877154976129532,
-0.7247127294540405,
-0.5276428461074829,
-0.7906863689422607,
0.39352336525917053,
-0.17180143296718597,
0.5165301561355591,
-0.48371902108192444,
-0.04074791073799133,
0.045567095279693604,
-0.5347298383712769,
-0.17584061622... |
In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
One example is below.
Q: Membership of Parliament: see Minutes
A: Състав на Парламента: вж. протоколи
Rationale: English sentence is converted into bulgarian sentence.
Q: Facility f... | Създаване на инструмент за бързи ответни мерки във връзка с покачващите се цени на храните в развиващите се страни ( | 9 | NIv2 | task272_europarl_translation | fs_opt | [
-0.10119418799877167,
0.8139064908027649,
0.4388013184070587,
0.12289232760667801,
0.039576176553964615,
-0.187520369887352,
1.5562379360198975,
0.1611752212047577,
0.4367460012435913,
-0.18927371501922607,
-0.0459928885102272,
0.7550593018531799,
-0.7474781274795532,
0.3466343283653259,
... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Ex Input:
(CNN) The Navy destroyer USS Mas... | Copa America
| 1 | NIv2 | task339_record_answer_generation | fs_opt | [
-0.0355558842420578,
-0.1287190020084381,
-0.59549880027771,
0.08622607588768005,
0.7733584642410278,
0.32609987258911133,
0.8196190595626831,
1.0358893871307373,
-0.0028667186852544546,
0.3446832299232483,
0.03618670254945755,
0.5176544189453125,
-0.27824369072914124,
0.020381871610879898... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
PersonX flaps PersonX's gums | release of tension | 0 | NIv2 | task1595_event2mind_text_generation_1 | zs_opt | [
-0.136769637465477,
0.7357906103134155,
0.15579858422279358,
-1.1438524723052979,
-0.7024316787719727,
-0.11451743543148041,
1.071759819984436,
0.5353538990020752,
-0.3787822723388672,
-0.7516992092132568,
0.03017081692814827,
-0.04510526359081268,
-0.7090886831283569,
0.4038584530353546,
... |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Input: Rysuję ołówkiem. Na początku objawy Parkinsona naprawdę były irytujące, bo nie mogłem utrzymać ołówka.
Output: | אני מאייר בעיפרון פשוט, ובהתחלה, הפרקינסון היתה ממש מעצבנת, מפני שלא יכולתי לגרום לעיפרון לעמוד ללא תנועה. | 2 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
0.3092922270298004,
0.4273289442062378,
-0.16215074062347412,
-0.6340497732162476,
-0.06986765563488007,
-0.429360032081604,
0.7654979228973389,
-0.0381343737244606,
1.309454321861267,
0.2960447669029236,
-0.17561869323253632,
0.6311829090118408,
-0.44845715165138245,
0.27190911769866943,
... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | Quantity | 6 | NIv2 | task1289_trec_classification | fs_opt | [
0.1447983682155609,
0.12679609656333923,
0.2171567678451538,
-0.0768258348107338,
-0.6477404832839966,
-0.7916088700294495,
0.5653377771377563,
0.059655506163835526,
-0.3047725558280945,
-0.4095873236656189,
-0.8594520092010498,
-0.04578286036849022,
-0.8091065287590027,
0.0494465939700603... |
Instructions: 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, etc.) Knowing those operations and how the... | How many more points did the Panthers score in the second quarter? | 3 | NIv2 | task184_break_generate_question | zs_opt | [
0.5606694221496582,
0.1669636070728302,
-1.0565485954284668,
0.5701318383216858,
0.2122565656900406,
-0.4811335802078247,
0.9182031154632568,
0.3267536461353302,
-0.3782842457294464,
0.5363305807113647,
-0.5459338426589966,
0.4119919240474701,
-0.023593783378601074,
0.08154860883951187,
... |
Q: 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 character.
Quincy wandered t... | Not Answerable | 7 | NIv2 | task290_tellmewhy_question_answerability | zs_opt | [
-0.7768903970718384,
0.7328168153762817,
0.41216397285461426,
0.04337004944682121,
-0.1450956165790558,
-1.1785180568695068,
0.2300979048013687,
0.18826322257518768,
-0.27646851539611816,
0.68393874168396,
-0.38495302200317383,
-0.0693759024143219,
-0.8438096046447754,
0.2354825884103775,
... |
Given the task definition and input, reply with output. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identi... | Response 2 | 5 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
-0.17449092864990234,
0.9550228118896484,
0.6353663206100464,
-0.053183555603027344,
0.2739671766757965,
-0.16658730804920197,
0.1513676792383194,
0.3662172853946686,
0.0707157626748085,
-0.5238871574401855,
-0.6381565928459167,
-0.06989972293376923,
-0.46400946378707886,
0.186925590038299... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be 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... | where did chad johnson go to high school? | 0 | NIv2 | task184_break_generate_question | fs_opt | [
0.9915002584457397,
-0.02712646685540676,
-0.5757672190666199,
0.49712246656417847,
0.40680596232414246,
-0.5345062017440796,
0.7005457878112793,
0.5624271631240845,
-0.6035687923431396,
0.6133361458778381,
-0.27568551898002625,
0.47296422719955444,
0.08988147974014282,
0.2430996596813202,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given one French sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into English.
Ce... | These factors are complex; false beliefs, ignorance, lack of advocacy are often on the basis of the failure of vaccination strategies. | 1 | NIv2 | task1397_europa_ecdc_tm_fr_en_translation | zs_opt | [
-0.8992831707000732,
0.6551306843757629,
0.11506094038486481,
-0.5978572368621826,
0.13873907923698425,
-0.3908384442329407,
0.45670586824417114,
0.6144363880157471,
0.4171751141548157,
0.07924291491508484,
-0.056540995836257935,
-0.02604968287050724,
-0.2509928047657013,
0.054679431021213... |
You will be given a definition of a task first, then some input of the task.
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is s... | sadness | 1 | NIv2 | task1662_cedr_ru_classification | zs_opt | [
-0.6551951169967651,
-0.17009392380714417,
0.048789508640766144,
-0.5601012110710144,
-0.16811203956604004,
0.3401340842247009,
1.0496678352355957,
0.5035797953605652,
0.0917946994304657,
-0.5147042274475098,
-0.7613524198532104,
-0.35879838466644287,
0.26773953437805176,
0.372949361801147... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Example Input: The DSF forms... | user
| 3 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.016996126621961594,
0.3497488498687744,
-0.45027974247932434,
-0.7176940441131592,
-0.7154476642608643,
0.20407065749168396,
1.243257999420166,
-0.8304969668388367,
1.1574267148971558,
-0.29037269949913025,
-0.23016448318958282,
-0.22046446800231934,
-0.570429801940918,
-0.0288397353142... |
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any external k... | Who confronts Rama? | 6 | NIv2 | task193_duorc_question_generation | fs_opt | [
0.4091179370880127,
0.3223026394844055,
-0.150529146194458,
-0.35868340730667114,
0.5563244819641113,
-0.281106561422348,
0.7841037511825562,
0.620582640171051,
0.534701406955719,
0.02406247705221176,
-0.45583513379096985,
0.6918063163757324,
-0.7136900424957275,
0.30071619153022766,
-0.... |
Instructions: In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
Input: 1 pound peeled jumbo shrimp, 1/4 cup extra virgin olive oil, 1 medium shallot, sliced thickly, 2 cloves garlic, 28 ounces can whole San ... | jumbo shrimp, extra virgin olive oil, shallot, garlic, tomatoes, hearts, sweet, amontillado sherry, mirin, bay leaf, salt, flat leaf parsley, wild capers | 3 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
-0.4768725633621216,
-0.07220529019832611,
-0.28371572494506836,
0.12736493349075317,
-0.010439842939376831,
-0.4494905173778534,
0.7978416681289673,
0.394814670085907,
-0.3135303258895874,
-0.3052746653556824,
0.7488458752632141,
-0.17518603801727295,
-1.6489901542663574,
-0.4358403980731... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must... | False | 1 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | zs_opt | [
-0.11520084738731384,
0.4883847236633301,
-0.8419753313064575,
-0.5945687890052795,
-0.164126455783844,
0.1059677004814148,
0.6631335020065308,
1.0159199237823486,
0.40911632776260376,
-0.14227084815502167,
-0.7917516231536865,
-0.4425375461578369,
0.035721924155950546,
0.2540697157382965,... |
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: hooking up with the love of my friend's life ACTION2: not texting her somethi... | yes
| 5 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | fs_opt | [
-0.11995133757591248,
0.10434592515230179,
0.5905858278274536,
0.38672369718551636,
-0.1290532350540161,
-0.9737261533737183,
-0.05648878589272499,
0.6955065131187439,
-0.13744127750396729,
0.5068842172622681,
0.2957645058631897,
-0.9464212656021118,
-0.254830539226532,
-0.8287439942359924... |
instruction:
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'.
question:
157 ... | 11656
| 9 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
0.1381482183933258,
0.9677156209945679,
-0.40774664282798767,
0.0944909006357193,
-0.535884439945221,
0.001697719912044704,
0.7562116384506226,
1.1004970073699951,
0.08571576327085495,
-0.2199810892343521,
-1.0059399604797363,
-0.5432743430137634,
-0.29707983136177063,
0.6316115260124207,
... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposi... | JJ NNS IN DT NN WDT VBD NN IN DT CD NN NN NN VBP DT NNS IN DT NNPS . | 4 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
-0.3565804958343506,
0.6106656789779663,
-0.29922759532928467,
0.1617712676525116,
-0.6475226879119873,
-0.37242576479911804,
0.9328023791313171,
0.6199091076850891,
0.24051311612129211,
-0.1937810182571411,
-0.6462148427963257,
0.7681471705436707,
-0.27972325682640076,
-0.0665793269872665... |
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.
One examp... | Mark a line on the drill bit that reflects the depth you are aiming for | 6 | NIv2 | task080_piqa_answer_generation | fs_opt | [
0.04152355343103409,
0.840214729309082,
-0.7772809267044067,
0.07583633065223694,
-0.1791658103466034,
-0.18173940479755402,
0.17381620407104492,
0.2899210453033447,
0.2005828619003296,
0.17909017205238342,
-0.06252037733793259,
0.3159720003604889,
-0.41395145654678345,
0.16202110052108765... |
Detailed Instructions: 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.,"bru... | Yes. | 4 | NIv2 | task018_mctaco_temporal_reasoning_presence | fs_opt | [
0.16565200686454773,
0.047828517854213715,
-0.2643825113773346,
0.5610902309417725,
-0.42917102575302124,
-0.5041295289993286,
0.13709098100662231,
0.5035132169723511,
-0.1325562596321106,
0.2595934569835663,
0.21024969220161438,
0.04772893339395523,
-0.6021629571914673,
0.4495149850845337... |
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make ... | She might have a headache . | 0 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
0.13901332020759583,
0.5114889144897461,
-0.2844476103782654,
-0.1548512727022171,
-0.1836572289466858,
-0.5664089918136597,
0.39464983344078064,
0.7761408090591431,
0.05667463690042496,
-0.24833202362060547,
-0.4953921139240265,
-0.3981586992740631,
-1.0339345932006836,
-0.472290813922882... |
Detailed Instructions: In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Q: It's quite common for birds feeding on seeds from flowering trees in some tropical waters to get weighed down, pricked and even entangled i... | C | 9 | NIv2 | task1286_openbookqa_question_answering | zs_opt | [
-0.0679137110710144,
0.5186623334884644,
-0.7326903343200684,
-1.230500340461731,
-0.4244438409805298,
-0.6740013360977173,
0.5442241430282593,
0.4862537980079651,
-0.7233889698982239,
0.2230825126171112,
-0.19364136457443237,
-0.4761742949485779,
-0.6621180772781372,
0.1283423900604248,
... |
Detailed Instructions: Translate the given Spanish text to English
Q: An electronic device is provided.
A: | Se proporciona un dispositivo electrónico. | 9 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
-0.02795209363102913,
0.746996283531189,
-0.8001102805137634,
-0.71892249584198,
-0.37952572107315063,
-1.0648306608200073,
0.33859044313430786,
0.7043824791908264,
0.3548840880393982,
0.7552180290222168,
1.230767011642456,
0.7573940753936768,
-0.0996774286031723,
0.28331446647644043,
-0... |
Given the task definition and input, reply with output. You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
concept: Khartoum answers: ['Sudan']
| where are you if you're in khartoum? | 5 | NIv2 | task1602_webquestion_question_genreation | zs_opt | [
0.3277483284473419,
0.5028094053268433,
-0.3710349202156067,
-1.4404009580612183,
0.06653350591659546,
-0.5776166915893555,
0.22340019047260284,
0.38348188996315,
0.1669069081544876,
0.01358733419328928,
-0.5020074844360352,
0.5111133456230164,
-0.7023266553878784,
-0.4072973132133484,
0... |
Teacher: 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".
Teacher: Now, understand the problem? If you are still confused, see the fo... | Yes | 2 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
0.08488007634878159,
-0.23583322763442993,
0.19014248251914978,
-0.08845749497413635,
0.09119989722967148,
-0.4346711039543152,
0.08166344463825226,
0.20655351877212524,
-0.5276858806610107,
-0.24630500376224518,
0.6492624878883362,
0.7595678567886353,
-0.1275324523448944,
0.40977844595909... |
Given the task definition and input, reply with output. In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwis... | no | 5 | NIv2 | task211_logic2text_classification | zs_opt | [
-0.2377997636795044,
-0.14389070868492126,
-0.1495744287967682,
0.15703469514846802,
0.4158710837364197,
-0.3582043945789337,
0.24329888820648193,
0.3886747360229492,
0.20023074746131897,
-0.24832597374916077,
-0.3416406512260437,
0.1389070451259613,
-0.007011390291154385,
0.32023888826370... |
Detailed Instructions: You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Q: This is one of the best choices, in my opinion. I also adore Amazon, but they need to negotiate a bet... | True | 9 | NIv2 | task587_amazonfood_polarity_correction_classification | zs_opt | [
0.003113791113719344,
-0.18054471909999847,
-0.36692291498184204,
0.0336342416703701,
-0.5212764143943787,
-0.008908037096261978,
1.285797357559204,
0.05187320336699486,
0.5874999761581421,
0.09674715995788574,
-0.26261645555496216,
0.3461964726448059,
-1.0068998336791992,
-0.1518705189228... |
In this task, you are given a set of reviews from Amazon and Yelp. Your task is to generate a summary of a given set of reviews about the information present in reviews. This generated summary should reflect users' common opinions expressed in the reviews, the common sentiment of the opinions and their details, and sho... | In the neighborhood, it's definitely the best burger. The staff can be either hit or miss, but the food is very good. There is an outside seating and also a good beer selection. The bar is pretty cool around a neat area in town. The Mac n Cheese variety are much and pretty good. The atmosphere is very relaxing. | 3 | NIv2 | task672_amazon_and_yelp_summarization_dataset_summarization | fs_opt | [
0.80241459608078,
0.21253015100955963,
-0.5719016194343567,
0.05457688868045807,
0.9321223497390747,
-0.09433844685554504,
0.952193021774292,
1.0817451477050781,
-0.08437161147594452,
0.12592366337776184,
-0.188798725605011,
0.3929455578327179,
-0.6877691149711609,
-0.47947555780410767,
... |
This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Ex Input:
Besonders bei den Wählerinnen findet sie... | Nosotros los europeos formamos parte irrenunciable de una estrecha red, entrelazados en un solo tejido que representa nuestro destino.
| 1 | NIv2 | task1373_newscomm_translation | fs_opt | [
-0.5041968822479248,
0.44889867305755615,
-0.06964851915836334,
-0.10524700582027435,
-0.5708702206611633,
0.010408926755189896,
0.7393162250518799,
1.7896323204040527,
0.6018350720405579,
0.06730054318904877,
-0.28042906522750854,
0.07135339081287384,
0.01072852686047554,
-0.3914944529533... |
Detailed 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 ev... | No | 8 | NIv2 | task1208_atomic_classification_xreason | zs_opt | [
0.406599223613739,
0.48392564058303833,
0.3223029375076294,
-0.13227662444114685,
-0.4940797984600067,
-0.8443905711174011,
0.8561714887619019,
0.13209137320518494,
-0.2788727283477783,
-0.37900206446647644,
-0.3761838674545288,
-0.4017271101474762,
-0.5360134840011597,
0.2652861475944519,... |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Input: "אתמול חשבתי."
Output: | "دیروز فکر کردم" | 3 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.3321611285209656,
1.069211721420288,
0.16681796312332153,
0.0974711924791336,
-0.846481442451477,
0.3007035255432129,
0.797553539276123,
0.23745176196098328,
0.8557196855545044,
-0.14481034874916077,
-1.1354870796203613,
-0.005525953136384487,
-0.5273691415786743,
0.09809717535972595,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Example: Un bărbat pune brânză mărunțită pe o pizza.
Output: A man is spreading shreded cheese on a pizz... | A man riding his bike on the beach by the ocean. | 1 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.41318178176879883,
0.6340397596359253,
0.13318228721618652,
-0.02279503457248211,
0.059302449226379395,
0.20241519808769226,
0.6895233392715454,
0.6209019422531128,
0.7462632060050964,
-0.2956176996231079,
0.025858692824840546,
1.0327134132385254,
-0.025818489491939545,
-0.2471140623092... |
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Example: Problem: on a sum of money , the simple interest for 2 years is rs . 330 , while the compound interest is rs . 340 , the rat... | Solution: b | 5 | NIv2 | task1419_mathqa_gain | fs_opt | [
0.9902641773223877,
-0.10489902645349503,
-0.3881043791770935,
-0.03083733282983303,
0.22701629996299744,
-1.0244970321655273,
1.2705926895141602,
0.9818514585494995,
-0.06320351362228394,
0.01988225057721138,
-0.4873282313346863,
0.2849883437156677,
-1.0998233556747437,
-0.239606082439422... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | No | 1 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
0.28347018361091614,
0.34553951025009155,
0.3800491690635681,
0.02895430102944374,
-0.6948387622833252,
-0.6689738035202026,
1.1410512924194336,
0.34201347827911377,
-0.5569745302200317,
-0.39625295996665955,
-0.25882667303085327,
-0.7676956057548523,
-0.46100109815597534,
0.34677034616470... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
See one example below:
Problem: Grazas.
Solution: Gracias.
Explanation: The Galician sentence is correctly translated into Spanish, because the meaning is preserved.
Problem: Así que camiñei e viax... | Así, he estado caminando y viajando, a caballo, en yak, en camión, a dedo, desde la frontera iraní hasta el otro lado, en el borde del corredor de Wakhan. | 4 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-0.6040991544723511,
0.5291337966918945,
0.19726639986038208,
-0.7523391842842102,
-0.4626924395561218,
-0.9237181544303894,
0.7861295938491821,
0.7836955189704895,
-0.25996747612953186,
-0.14282876253128052,
-0.7795599102973938,
0.09474106878042221,
-0.5239497423171997,
0.3340341746807098... |
Given the task definition and input, reply with output. 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 informat... | What country is Dublin located? | 5 | NIv2 | task235_iirc_question_from_subtext_answer_generation | zs_opt | [
-0.11070144921541214,
1.417043924331665,
-0.3084995448589325,
0.2012234926223755,
-0.050201695412397385,
-0.6042846441268921,
-0.06152443215250969,
-0.20535847544670105,
0.41289448738098145,
-0.21161194145679474,
-0.07197004556655884,
0.4223288297653198,
-1.0898194313049316,
0.112363189458... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
Example: Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.
Example solution: 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
Example e... | Solution: そして１つのブレイクスルーが他の突破口を作るといった肯定的なサイクルに乗ったのです | 5 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.18295317888259888,
0.20877701044082642,
-0.46418875455856323,
-0.12086253613233566,
-0.49931350350379944,
0.5055757761001587,
-0.32292312383651733,
0.32130610942840576,
-0.18577781319618225,
-0.6645427942276001,
-0.5019331574440002,
-0.39435359835624695,
-1.2629032135009766,
-0.35269653... |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
Q: ['287', 'p', '31']
A: | 1, 2, 3, 7, 8 | 4 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | zs_opt | [
-0.4411109685897827,
0.14885668456554413,
-0.03446497023105621,
-0.2872467339038849,
-0.026361433789134026,
0.6107997298240662,
1.0656987428665161,
0.20534774661064148,
-0.21621638536453247,
0.07100597023963928,
-0.7382022142410278,
-0.19884702563285828,
-0.5083903074264526,
-0.51201343536... |
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