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 are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'... | formal | 3 | NIv2 | task1533_daily_dialog_formal_classification | fs_opt | [
0.2541636824607849,
0.8129467964172363,
-0.4913520812988281,
-0.8592126369476318,
0.267452210187912,
-0.8025557398796082,
0.2689511775970459,
0.28222015500068665,
0.10128121078014374,
0.08557777106761932,
-0.6015857458114624,
-0.5766298174858093,
-0.5516389608383179,
0.1146308034658432,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English... | Swedish | 0 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
-0.3964167833328247,
0.6210359930992126,
0.6012658476829529,
-0.08160288631916046,
-0.06289204955101013,
-0.15530452132225037,
0.7429271340370178,
-0.1156838983297348,
0.6872135996818542,
-0.10634184628725052,
0.3868424594402313,
0.5387205481529236,
0.042459383606910706,
0.1609981060028076... |
Q: A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
അതുകൊണ്ട് നാം സൈബര് സ്പേസ് ആധാരമാക്കിയുള്ള പ്രഗതി, അഥവാ 'പ്രോ ആക്ടീവ് ഗവേര്ണന്സ് ഫോര് ടൈമിലി ഇംപ്ലിമെന്റഷന്' എന്നൊരു വേദിക്ക് രൂപം നല്കി.
A: | इसलिए, हमनेसाइबर स्पेस आधारित प्लेटफार्म प्रगति अर्थात् समयबद्ध कार्यान्वयन के लिए अति सक्रिय गवर्नेंस को लॉन्च किया। | 7 | NIv2 | task1018_pib_translation_malayalam_hindi | zs_opt | [
-0.8050187826156616,
0.5139948129653931,
0.5840640068054199,
-0.7092888951301575,
-0.04650010168552399,
-0.6882741451263428,
0.3800734579563141,
0.8110330104827881,
0.26749300956726074,
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0.10001791268587112,
0.020491350442171097,
-1.322817087173462,
0.03673330694437027,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a 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... | TIFU by playing a game at school | 0 | NIv2 | task510_reddit_tifu_title_summarization | fs_opt | [
0.038457587361335754,
0.22294537723064423,
-0.0856693834066391,
-0.25074678659439087,
0.29988300800323486,
-0.02598511427640915,
0.6188279390335083,
0.8199265003204346,
-0.044676460325717926,
0.4668539762496948,
0.9147127270698547,
-0.09246835112571716,
-0.39925819635391235,
-0.13468188047... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Dogs, horses and humans — these are the three species which are so abused in life. | I cani, i cavalli e gli esseri umani — queste sono le tre specie che vengono maltrattate di più al mondo. | 0 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
0.06025052070617676,
0.6468871831893921,
-0.9037749767303467,
0.011110855266451836,
-0.7775461077690125,
-0.6520899534225464,
0.3283854126930237,
0.7171236276626587,
-0.6801623106002808,
-0.5404624938964844,
-0.47777020931243896,
1.1333380937576294,
0.01887586899101734,
-0.6650782823562622... |
You will be given a definition of a task first, then some input of the task.
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
Question1: What are the reasons behind nuclear energy being non-renewable?, Question2: "Is nuclear energ... | Yes | 1 | NIv2 | task1287_glue_qqp_paraphrasing | zs_opt | [
-0.18972505629062653,
0.8252620100975037,
0.4185165762901306,
-0.08908100426197052,
-0.24629217386245728,
-1.247795581817627,
0.3959648311138153,
0.9533006548881531,
0.44341471791267395,
0.8335329294204712,
0.12417352944612503,
-0.800246000289917,
-0.3770442306995392,
-0.10285289585590363,... |
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Input: Consider Input: Preheat oven to 325F., Put a kettle of water on to heat for the water bath., Add 3/4 cup sugar ino 13 cup water i... | Output: chili peppers, garlic, extra virgin olive oil, salt, cumin
| 2 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.9989649653434753,
0.4825547933578491,
-0.33280569314956665,
0.1174391433596611,
0.11252938210964203,
0.06190837174654007,
0.2342519611120224,
0.6002285480499268,
-0.5039258003234863,
0.004683588165789843,
-0.09062645584344864,
0.2048519253730774,
-0.6746090650558472,
0.012872498482465744... |
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.
--------
Question: L... | Answerable
| 7 | NIv2 | task290_tellmewhy_question_answerability | fs_opt | [
-0.11218931525945663,
-0.15644237399101257,
-0.23302869498729706,
0.49428021907806396,
0.001822250196710229,
-0.0633622258901596,
0.03324739634990692,
0.979334831237793,
-0.24277861416339874,
0.611131489276886,
-0.2372893989086151,
0.6496411561965942,
-0.2990228831768036,
-0.03610839322209... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Example Input: وسأختم قائلة ، أننا إذا جلبنا هذا للسوق المحلي ، سيكون هذا مؤثرا ليس فقط للمبرمجين في نايروبي ولكن لأصحاب المشاريع الصغيرة أيضا ممن يحتاجون لمصدر آمن للاتصال ، وبإمكانه تقليل تكلفة الاتصال ، آملين التعاون مع الد... | و اگه واقعا آن اطلاعات را از دست بديد ، به اين معنيه كه كه يهو اين اطلاعات در ذهنتون از بين رفته ، كه يكدفعه حس ميكنين چيزي گم كردين ، چون نميتونيد ببينيدش ، پس اونو مانند يك حس عجيب درك ميكنين.
| 3 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.24281767010688782,
0.30799201130867004,
-0.1668848842382431,
-0.7659510374069214,
-0.07238675653934479,
0.8653481006622314,
1.3871954679489136,
0.35991087555885315,
0.21727687120437622,
0.040511373430490494,
-0.6204492449760437,
0.3678237199783325,
-0.3175869882106781,
0.083734318614006... |
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 labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
Q: ... | Yes. | 4 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.20165863633155823,
0.17948848009109497,
0.11343646049499512,
0.7123479843139648,
-0.8459075689315796,
-1.7993391752243042,
0.4793054163455963,
0.6753142476081848,
-0.2860008776187897,
-0.4200859069824219,
0.11163291335105896,
0.2935853600502014,
-0.12826776504516602,
0.9309455156326294,... |
Part 1. Definition
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Part 2. Example
Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE ... | false | 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-1.0023086071014404,
0.3777768015861511,
0.6786623001098633,
0.516827404499054,
-0.4179784059524536,
-1.2115519046783447,
0.13222359120845795,
0.6652340888977051,
0.2807897627353668,
0.2943878173828125,
-0.19833070039749146,
-0.3421577215194702,
-0.9904907941818237,
-0.4979918599128723,
... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
question:
E li chiamai reliquie. Furono mostrati per la prima volta alla Stux Gallery, nel 1983.
answer:
1983年にスタックスギャラリーで展示されました
question:
Quando una femmina vede un brillio da un maschio particolarmente at... | 今日は愛の生物学についての話をしてきました
| 9 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
-0.9197735786437988,
0.20193815231323242,
-0.6367740631103516,
0.0953698456287384,
-0.4157485365867615,
-0.0345262736082077,
0.43894022703170776,
-0.04671056941151619,
-0.041497811675071716,
-0.6470438838005066,
-0.5094892978668213,
0.8276286125183105,
0.05684444308280945,
1.24423313140869... |
Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Input: To jest obraz szerokokątny zrobiony centrum Drogi Mlecznej.
Output: | و اين يك تصوير ميدان ديد باز است كه از مركز كهكشان راه شيري گرفته شده است | 3 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
0.5110452175140381,
-0.14882294833660126,
-0.07044960558414459,
-0.030507221817970276,
-0.3553450405597687,
0.23150095343589783,
0.6180142760276794,
-0.5787897109985352,
0.493796706199646,
-0.14029935002326965,
-0.8367798328399658,
0.05435580387711525,
0.09358516335487366,
0.30123245716094... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Q: Y entonces él me dijo: "" ¿Qué querías ser cuando eras pequeña? "" Claro, no iba a decirle, "" Bueno, yo quería correr autos y motos "". No era realmente apropiado en ese momento.
A: And then he said to me, "" What did... | You're doing it for the task itself, for the challenge — and the ocean is the most challenging environment there is — for the thrill of discovery, and for that strange bond that happens when a small group of people form a tightly knit team.
****
| 4 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.5703071355819702,
1.0695760250091553,
0.12206681817770004,
-0.18469426035881042,
0.022761637344956398,
-0.920509934425354,
-0.4192543625831604,
1.2544429302215576,
0.10151217877864838,
-0.14090529084205627,
0.08436879515647888,
0.22034241259098053,
-1.1455590724945068,
-0.76469922065734... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
[5797, 8817, '8297', 'b', 'U', 'b'], [5843, 8809, '8297', 'b', 'W', 'C']
Solution: 8297, b
Why? H... | 9825, v, a, 2015, 2811, J, 9123, W, 3237, 2367, U, D, F, 5315, E, 3283, 5143, 7653, 2685, f | 0 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
-0.3661527633666992,
-0.05978706106543541,
-0.4301155209541321,
-0.3431428074836731,
0.08359937369823456,
-0.24659866094589233,
0.20281435549259186,
0.8613342046737671,
-0.503799557685852,
0.24127840995788574,
-0.5838853120803833,
-0.10654677450656891,
0.5065774917602539,
0.434165537357330... |
In this task, you are given a paragraph and question in Chinese, and your task is to generate the right answer for the given question from the passage. Construct an answer in such a way that (i) it is unambiguous, (ii) it is extracted from the passage, (iii) it is relevant to the question asked, and (iv) its answer is ... | 1954年 | 9 | NIv2 | task1570_cmrc2018_answer_generation | fs_opt | [
1.1111259460449219,
-0.1984192132949829,
-1.0101580619812012,
0.4633665084838867,
0.27798396348953247,
-0.20184224843978882,
0.8099944591522217,
0.950042724609375,
-0.08847953379154205,
0.0645555853843689,
0.30639225244522095,
0.984453558921814,
-0.8593965172767639,
0.6739427447319031,
0... |
Detailed Instructions: In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, indu... | pc | 8 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.046020664274692535,
-0.23228667676448822,
-0.36118680238723755,
0.09345871210098267,
0.37906843423843384,
0.1722511351108551,
0.1199796050786972,
0.8225131630897522,
-0.5359850525856018,
0.8681111335754395,
0.2135416716337204,
0.1366308480501175,
-0.6386680603027344,
-0.5038878917694092... |
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".
Ex Input:
Review: This is by far one of my favorite of the America... | no
| 1 | NIv2 | task285_imdb_answer_generation | fs_opt | [
0.0144878588616848,
0.15832431614398956,
-0.06447294354438782,
0.34215712547302246,
0.006208430044353008,
-0.24727433919906616,
1.4579981565475464,
0.9040279984474182,
-0.13692577183246613,
0.10521064698696136,
-0.5821353197097778,
0.46029675006866455,
-0.776921272277832,
0.178078204393386... |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Q: The Welsh Government is considering making it a crime for people to cause a nuisance or disturbance in GP surgeries and hospitals. Staff said there... | Law to tackle hospital and GP nuisances considered | 4 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
0.39662325382232666,
1.0827219486236572,
-0.2807157635688782,
-0.680131196975708,
0.4009596109390259,
-0.8037624359130859,
0.008895310573279858,
0.7151532173156738,
0.17006465792655945,
0.25617530941963196,
0.24316126108169556,
1.158154845237732,
-0.3736667335033417,
0.1520749032497406,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
--------
Question: حال باید بپرسیم چگونه این الگوهای عصبی درون مغز من که مسئول خاطرات و ایده های من هستند به مغز شما منتقل می شوند.
Answer: Temos que preguntar como os padróns de neuronas do meu cerebro asociados cos me... | No caso do cerebro humano, o meu colega Jonas Frisén do Instituto Karolinska, ten estimado que producimos 700 neuronas novas ao día no hipocampo.
| 7 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-0.35001280903816223,
0.6767507195472717,
-0.027903497219085693,
-0.13428452610969543,
-1.343344807624817,
-0.8700766563415527,
0.9285937547683716,
0.16874712705612183,
0.28118762373924255,
-1.1144022941589355,
-0.6810945272445679,
0.19927111268043518,
-0.8780113458633423,
0.72268199920654... |
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: از خانهها بالا میروند؛ از پنجرهها مانند دزدی داخل میشوند؟
Student: | they shall climb up upon the houses; they shall enter in at the windows like a thief? | 6 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
-0.7507076859474182,
1.0477886199951172,
-0.4671173095703125,
-0.3143063187599182,
-0.28421202301979065,
0.20749853551387787,
0.6960830092430115,
0.772544264793396,
0.14161749184131622,
0.2809329926967621,
-0.4389045238494873,
0.7497606873512268,
-0.9593828916549683,
-0.38996830582618713,
... |
Convert a disfluent question to a proper question. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
Example Input: Where was Parliament temporarily relocated to in May of 2000 or rather where would you go t... | When did the Rhine Straightening program begin?
| 3 | NIv2 | task1622_disfl_qa_text_modication | fs_opt | [
0.2866126298904419,
0.4097987711429596,
-0.1327507346868515,
0.41368407011032104,
-0.32966893911361694,
0.1291930079460144,
0.8121724128723145,
-0.24586641788482666,
0.2689475119113922,
0.47483277320861816,
-0.816351592540741,
-0.0825747698545456,
-0.5510960817337036,
0.5091067552566528,
... |
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), and/or splitting a long complex sentence into several simpler ones. The fina... | The city's Inca architecture, survived the earthquake.
| 6 | NIv2 | task111_asset_sentence_simplification | fs_opt | [
0.09697996079921722,
0.6663873195648193,
0.0014071105979382992,
-0.290253221988678,
0.08398096263408661,
-0.5077739953994751,
1.058685302734375,
0.47366708517074585,
0.17266063392162323,
-0.4596017301082611,
-0.4684793949127197,
0.041935838758945465,
-0.48559266328811646,
0.263232499361038... |
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
[Q]: Is OTHER wrong in the post ? POST : I’ve worked with this woman for over 2 years. She’s my cl... | yes
| 5 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
0.6647717952728271,
0.13461723923683167,
-0.23804804682731628,
0.2869320809841156,
0.261844277381897,
-0.5637081861495972,
0.6193176507949829,
1.192246437072754,
0.2618195414543152,
-0.050986845046281815,
0.18066862225532532,
0.34980350732803345,
-0.5402426719665527,
0.2676689922809601,
... |
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: Apparently it is now Polit... | what toy is referenced? | 4 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-0.8442888855934143,
0.7015072107315063,
0.13070344924926758,
0.7361367344856262,
0.13430437445640564,
-0.8041999936103821,
-0.12577615678310394,
0.5826629400253296,
-0.05556994304060936,
0.03263534605503082,
0.1155276745557785,
0.3494097590446472,
-0.02589781954884529,
-0.0409272983670234... |
Q: Given a sentence in French, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.
Il a été grimpé librement et porte le nom de Bill House lors de sa première ascension en 1938.
A: | 它是免费攀爬的，并以比尔豪斯的名字命名，当时他于1938年第一次登顶。 | 7 | NIv2 | task793_pawsx_french_chinese_translation | zs_opt | [
-0.5550051927566528,
1.012314796447754,
-0.3232819736003876,
0.053003646433353424,
0.7059905529022217,
0.18613699078559875,
1.2994823455810547,
0.5453901290893555,
0.15242913365364075,
0.1665562242269516,
-0.16094307601451874,
0.38088366389274597,
-0.7173755168914795,
0.7434024214744568,
... |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
[Q]: Article: baghdad has sent back to saudi arabia eight of its citizens jailed in iraq ahead of a new extradition treaty between... | yes
| 5 | NIv2 | task289_gigaword_summarization | fs_opt | [
0.180726557970047,
0.3468523323535919,
-0.4840214252471924,
0.15573832392692566,
-0.37134289741516113,
-0.13858792185783386,
0.7738324403762817,
1.0369229316711426,
-0.34719979763031006,
0.3820878565311432,
-0.15878891944885254,
0.13361325860023499,
-0.638175368309021,
0.22025007009506226,... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
Input: Consider Input: What body o... | Output: Jason Ritter
| 2 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.9252986907958984,
0.7926087379455566,
-0.6455168724060059,
-0.3338320255279541,
-0.4588741064071655,
-0.250169575214386,
1.2764661312103271,
-0.13150523602962494,
0.022891994565725327,
-0.2210833728313446,
-0.3400253355503082,
-0.2905803918838501,
-0.8354381918907166,
-0.158718705177307... |
instruction:
In this task, you are given a list of integers you need to calculate and return the range of the integers which is the difference between maximum and minimum element in the list.
question:
[341, 290, 135, 284, 463, 121, 153, 32, 125, 279, 250, 201, 480, 254, 261, 192, 278, 406, 120, 441]
answer:
448
ques... | 435
| 9 | NIv2 | task1315_find_range_array | fs_opt | [
-0.7173314690589905,
0.10377497225999832,
-0.15570765733718872,
-0.29388752579689026,
-0.3540286123752594,
-0.0354897677898407,
0.5786556005477905,
0.01242562010884285,
-0.5347582101821899,
-0.04913371801376343,
-1.0756279230117798,
0.35935652256011963,
-0.5392143130302429,
-0.343886762857... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Ex Input:
Tweet: “@Sair____: you lucky ashit if you got the shawty you want .. ... | false
| 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-1.1776151657104492,
0.02784672938287258,
0.35726696252822876,
0.5555275082588196,
-0.4078308939933777,
-0.7897506952285767,
-0.22714528441429138,
0.8466628789901733,
0.2587019205093384,
0.23264272511005402,
-0.3530804216861725,
-0.37934014201164246,
-0.7619888186454773,
-1.043042182922363... |
Detailed Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
See one example below:
Problem: Category: HOMOPHONIC PAIRS
Clue: It's a... | new jersey | 4 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
0.12565788626670837,
0.6731064319610596,
-0.6885383129119873,
0.2961876392364502,
0.5131223201751709,
-0.41744503378868103,
0.2200954556465149,
0.3706563711166382,
0.6934198141098022,
0.5380516648292542,
-0.3540477156639099,
0.8422079682350159,
-0.04985900968313217,
-0.4464520514011383,
... |
Given the task definition and input, reply with output. In this task, you must classify if a given review is positive/negative, indicating your answer as P or N.
vampire films , as well as other horror films , are usually dumb and predictable b - movies , meant to scare us by cliches and simple shocks .
it is therefor... | P | 5 | NIv2 | task1361_movierationales_classification | zs_opt | [
0.32455939054489136,
0.37190020084381104,
-0.618117094039917,
0.44668418169021606,
-0.019284719601273537,
-0.43858158588409424,
0.8421778678894043,
0.759020209312439,
-0.08800472319126129,
0.4319637715816498,
0.007715961895883083,
-0.009783642366528511,
-0.4344944655895233,
0.1255670189857... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of integers. 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 th... | [383, 977, 181, 967, 769, 199, 113, 149, 593, 131, 101] | 1 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.3536092936992645,
0.0503777340054512,
-0.3174905776977539,
-0.09292100369930267,
0.25277042388916016,
0.24538037180900574,
0.5968749523162842,
0.4612398147583008,
-0.20748567581176758,
0.5575490593910217,
-0.9088838696479797,
-0.5935184955596924,
-0.25177744030952454,
-0.627598524093627... |
Part 1. Definition
In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Part 2. Example
gocogccocco
Answer: goc... | eeyee | 7 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.1905020922422409,
0.7329593896865845,
0.11728192120790482,
-0.279808908700943,
0.19866254925727844,
-0.3130059242248535,
0.9159284830093384,
-0.2666592001914978,
-0.03012567013502121,
-0.20192888379096985,
-0.47022745013237,
0.037173714488744736,
-0.8852784037590027,
0.26519590616226196... |
In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
Example input: a georgian inscription around the drum attests his name.
Example output: there is a georgian inscription around the drum to confirm... | vikida is an online encyclopedia wiki designed with mediawiki software. | 3 | NIv2 | task934_turk_simplification | fs_opt | [
-0.960835337638855,
0.3338407874107361,
-0.4329007565975189,
-0.7131695747375488,
-0.07873329520225525,
-1.503859281539917,
1.4497880935668945,
0.05718093365430832,
0.286717027425766,
0.31246691942214966,
-0.03444027900695801,
0.2678482234477997,
-0.7628620862960815,
0.3881710469722748,
... |
Definition: You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex,... | never stay haome alone when the moon bright | 2 | NIv2 | task1711_poki_text_generation | zs_opt | [
-0.31384193897247314,
1.4090440273284912,
-0.20811092853546143,
-0.4765220880508423,
-0.1911437213420868,
-0.35745108127593994,
0.9707468748092651,
0.15874823927879333,
0.015186911448836327,
-0.19811704754829407,
-0.7272140979766846,
0.8037135004997253,
-0.9360923171043396,
-0.275125443935... |
Q: In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
For it is common knowledge that we could have an even ... | English | 7 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.13416367769241333,
1.0037175416946411,
0.4919675886631012,
-0.5655137300491333,
-0.272138386964798,
-1.080648422241211,
0.592157781124115,
0.8916090130805969,
0.2721267342567444,
0.047073133289813995,
-0.1148332804441452,
0.39925646781921387,
-0.48290330171585083,
-0.3921610414981842,
... |
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.
Let me give you an example: アルトゥール・ルービンシュタインの豪華ボックス・セット . 今世紀を代表する大物ピアニストの一人、アルトゥール・ルービン... | NEG | 8 | NIv2 | task487_cls_japanese_music_classification | fs_opt | [
0.0128855025395751,
-0.25390079617500305,
-0.619381844997406,
0.6697887182235718,
0.6312814950942993,
-0.4810287356376648,
0.556674599647522,
0.5326671600341797,
-0.25250619649887085,
0.23028776049613953,
-0.22485066950321198,
0.3457288146018982,
-0.2165674865245819,
0.12722402811050415,
... |
Detailed Instructions: In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" bas... | Original | 9 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.6899774074554443,
0.1324015110731125,
0.676821768283844,
0.21314503252506256,
-0.24796044826507568,
-0.6355571746826172,
0.3607650399208069,
0.39529651403427124,
0.368927001953125,
-0.06857455521821976,
-1.1476669311523438,
-0.6393692493438721,
-0.306631863117218,
0.09349821507930756,
... |
Given the task definition and input, reply with output. You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing fr... | PersonX was not able to recover from the flu as quickly as PersonY because _ received medical treatment. | 5 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
0.23499932885169983,
0.5302553176879883,
-0.1284978836774826,
-0.27530354261398315,
0.21079589426517487,
-1.1209933757781982,
1.1878540515899658,
0.3475222885608673,
-0.2941462993621826,
-0.6063554286956787,
-0.19444766640663147,
0.4744167923927307,
-0.8384045362472534,
0.37221747636795044... |
Definition: In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
Input: English: The French State has released funds for compensating damage.
Spanish:La Comisión se atiene estricta... | No | 2 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
-0.04895898327231407,
0.6414920091629028,
0.5114443302154541,
-0.25914624333381653,
0.5110797882080078,
-0.6708835363388062,
0.7308231592178345,
1.077009677886963,
-0.040180753916502,
-0.038688383996486664,
-0.03092975541949272,
0.5599478483200073,
-0.27652421593666077,
0.2363170087337494,... |
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Q: Sentence-1: Just about, though it might be a struggle.<sep>Sentence-2: I can handle the cost of living there .
A: Yes
****
Q: Sentence-1: I love to paint.<s... | No
****
| 4 | NIv2 | task566_circa_classification | fs_opt | [
-0.43487441539764404,
0.6746097803115845,
0.4680047035217285,
0.16130858659744263,
-0.04431075230240822,
-0.45566391944885254,
0.3281962275505066,
0.9627156257629395,
0.07260245084762573,
0.10375690460205078,
-0.25846511125564575,
0.11642880737781525,
-0.8651317358016968,
-0.03371813893318... |
Q: 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 det... | No | 7 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
0.2523251473903656,
0.4243326783180237,
0.3285890817642212,
-0.07446740567684174,
-0.553617537021637,
-0.8411638736724854,
1.088985562324524,
0.5357056260108948,
-0.6720559597015381,
-0.561900794506073,
-0.3649795651435852,
-0.4703024625778198,
-0.8089569807052612,
0.3730814456939697,
0.... |
Detailed Instructions: In this task if the pronoun is male or gender-neutral you are to replace it with a female pronoun. If there are no pronouns add a female-gendered word to the sentence.
See one example below:
Problem: He designed monumental Loviisa war cemetery in 1920.
Solution: She designed monumental Lovissa wa... | she was a project manager for airplanes | 4 | NIv2 | task1670_md_gender_bias_text_modification | fs_opt | [
-0.9344483017921448,
1.2249579429626465,
-0.44069886207580566,
-0.47041064500808716,
-0.36218416690826416,
-0.5307099223136902,
0.45236819982528687,
0.531665563583374,
1.0879155397415161,
-0.20601069927215576,
-0.62903892993927,
0.4368060231208801,
-0.5245910882949829,
-0.4678245484828949,... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | Yes
| 1 | NIv2 | task353_casino_classification_negotiation_elicit_pref | fs_opt | [
0.11097113788127899,
-0.13924141228199005,
-0.5580635070800781,
0.2525312304496765,
-0.43449974060058594,
-1.2818589210510254,
0.32709184288978577,
0.7189745306968689,
-0.5799695253372192,
0.44046419858932495,
0.22183072566986084,
-0.20711541175842285,
-1.3066401481628418,
-0.0290070772171... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Existe una estructura que hay que mantener, durante siglos, por distintas generaciones, sin ningún departamento ni ninguna financiación. El secreto es "" [en hindi] "", respeto. | Una struttura di manutenzione è esistita per secoli, per generazioni, senza alcun dipartimento, senza alcun finanziamento. Per cui il segreto è "" [incomprensibile] "", il rispetto. | 0 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.411421537399292,
0.6262525320053101,
-0.267121821641922,
0.23725619912147522,
-0.6293102502822876,
-0.8804178237915039,
0.07307689636945724,
0.5729483962059021,
-0.3223097324371338,
-0.9244418144226074,
-0.4502243995666504,
-0.13774162530899048,
-0.8510994911193848,
0.6597715020179749,
... |
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
[Q]: 2677
[A]: Yes
[Q]: 27409
[A]: Yes
[Q]: 11073
[A]: | No
| 5 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.208246111869812,
0.5557634234428406,
0.29659008979797363,
-0.2018352448940277,
-0.1720946580171585,
-0.6616363525390625,
0.61003577709198,
0.9033555388450623,
-0.1406049132347107,
0.2742949426174164,
-0.9364286661148071,
-0.09221383929252625,
-0.3664736747741699,
-0.35748571157455444,
... |
Teacher: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Teacher: Now, understand the problem? If you are still confused, see the following exa... | cher, michelle pfeiffer & susan sarandon | 2 | NIv2 | task306_jeopardy_answer_generation_double | fs_opt | [
-0.4961242377758026,
0.571410596370697,
-0.0674540251493454,
-0.20434920489788055,
-0.0316130667924881,
0.3405783772468567,
-0.3962101340293884,
0.180930957198143,
-0.01872505433857441,
-0.3581646978855133,
0.7715019583702087,
-0.2770177721977234,
-0.46290600299835205,
-0.8060596585273743,... |
Teacher: In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia page)
Teacher: N... | Fact1: Alexander the VI was 61 when he became pope. Fact2: The minimum age to collect Social Security is 62. | 2 | NIv2 | task169_strategyqa_sentence_generation | fs_opt | [
0.2994852364063263,
-0.06077326834201813,
-0.13425615429878235,
-0.36851638555526733,
-0.41971489787101746,
-1.2046761512756348,
0.31617259979248047,
1.3575217723846436,
-0.18422667682170868,
0.38119298219680786,
0.44428953528404236,
0.3324225842952728,
-0.614538848400116,
-0.4619536399841... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surpris... | happiness,happiness,No emotion,No emotion,No emotion | 6 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.3905813694000244,
0.16195741295814514,
-0.09979764372110367,
-0.4903208613395691,
0.18079140782356262,
-0.5244607925415039,
0.6294528245925903,
0.3201092481613159,
-0.05601630359888077,
-0.15871408581733704,
-0.6466922163963318,
-0.5810378789901733,
-0.754348635673523,
-0.019392119720578... |
This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a sentence in Arabic and the output is the classified sentiment.
اللهم انزع من ق... | NEGATIVE
| 0 | NIv2 | task1414_ajgt_twitter_ar_classification | fs_opt | [
-1.3664761781692505,
-0.2305372655391693,
0.5527082681655884,
-0.23915454745292664,
-0.459817111492157,
-0.032436396926641464,
0.4607095420360565,
-0.15135183930397034,
0.461641788482666,
-0.3697037696838379,
-1.0178818702697754,
-0.11254912614822388,
-0.2555428743362427,
0.161831080913543... |
Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur before t2, t1... | Output: True
| 2 | NIv2 | task1507_boolean_temporal_reasoning | fs_opt | [
-0.028554245829582214,
-0.14968228340148926,
-0.8186991810798645,
0.6783790588378906,
-0.15901973843574524,
-1.1656920909881592,
-0.2403998076915741,
0.48830604553222656,
-0.7955464720726013,
0.14821437001228333,
-0.49049514532089233,
-0.27309149503707886,
0.24081125855445862,
-0.306879162... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
Teacher: Now, understand the problem? Solve this instance: מה יקרה למוחות שלנו?
Student: | E cosa sarebbe successo a noi, alle nostre menti? | 6 | NIv2 | task1111_ted_translation_he_it | zs_opt | [
-0.3610870838165283,
0.587791919708252,
0.08245951682329178,
-0.36194944381713867,
-0.6373976469039917,
-0.21247363090515137,
0.4042417109012604,
0.46959394216537476,
0.6232917904853821,
-0.7520390152931213,
-0.24439598619937897,
0.2489914894104004,
-0.548302173614502,
-0.13527750968933105... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | Solution: many people are talking at a festival | 5 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.3899489939212799,
0.8445040583610535,
0.6154353022575378,
-0.6869213581085205,
0.08385476469993591,
-0.7135895490646362,
-0.725490927696228,
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-0.7825990915298462,
-0.3814602494239807,
-0.5367523431777954,
-0.1526385992765426... |
You will be given a definition of a task first, then some input of the task.
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that... | moisture. | 1 | NIv2 | task041_qasc_answer_generation | zs_opt | [
0.8872167468070984,
0.8267227411270142,
-0.3330349028110504,
-0.09900692105293274,
-0.2604840397834778,
-1.8470453023910522,
0.2592865526676178,
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-0.0028255702927708626,
-0.43425220251083374,
-0.0501834861934185,
-0.2586892545223236,
0.195083618164... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.
Problem:وزیراعظم نے صحت کی دیکھ بھال کی مختلف اسکیموں کے فائدہ یافتگان سے ویڈیو کے ذریعہ گفتگو کی
Solution: | વીડિયો બ્રિજ દ્વારા પ્રધાનમંત્રીનો વિવિધ સરકારી યોજનાઓના લાભાર્થીઓ સાથે સંવાદની શ્રેણીનો આ પાંચમો વાર્તાલાપ છે. | 8 | NIv2 | task1002_pib_translation_urdu_gujarati | zs_opt | [
-0.005974045023322105,
0.16709008812904358,
-0.10182788968086243,
-0.8417192697525024,
-0.381982684135437,
0.02397303655743599,
0.9375165700912476,
-0.027868591248989105,
-0.4575093388557434,
-0.7632164359092712,
-0.13961926102638245,
0.14483702182769775,
-0.21761243045330048,
0.1421320438... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
[Q]: Comment: I have a lot of respect for Ed Bro... | Non-threat
| 5 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
0.27722322940826416,
0.517225980758667,
0.17410814762115479,
0.2563311457633972,
0.23177850246429443,
-0.12237070500850677,
0.5947572588920593,
1.0255895853042603,
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0.34450238943099976,
0.1396593451499939,
0.09741953015327454,
-0.15955767035484314,
-0.6287326812744141,
... |
Detailed Instructions: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentenc... | No | 8 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.3799775242805481,
0.5927127599716187,
0.2572682499885559,
-0.11202609539031982,
-0.6008261442184448,
-0.3922688961029053,
0.4365217089653015,
0.4820789098739624,
0.029303282499313354,
-0.3158392310142517,
-0.8076337575912476,
-0.6122779846191406,
0.5256757736206055,
-0.36309707164764404... |
Teacher: In this task, you have to generate the title of the recipe given its required ingredients and directions.
Teacher: Now, understand the problem? If you are still confused, see the following example:
ingredients: '1 cup minced onion', '1 1/2 tablespoons lemon juice', '3/4 teaspoon Hungarian paprika', '3/4 teaspo... | Quick Cheesy Corn | 2 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.94377601146698,
0.5917415022850037,
-0.3955231308937073,
0.8746256232261658,
0.2939683198928833,
-0.8165212869644165,
0.33510100841522217,
0.7985174655914307,
-0.37758970260620117,
-0.33679649233818054,
-0.11711443215608597,
0.011271219700574875,
-0.46750450134277344,
0.09012439846992493... |
Teacher: A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
ये मेरे देश के मतदाताओं की ताकत है।
Solution: हे माझ्या ... | म्हणूनच आमच्या सरकारने महामार्ग,रेल्वेमार्ग,हवाई मार्ग आणि विजेशी सबंधित पायाभूत सुविधांकडे अधिक लक्ष दिले आहे. | 2 | NIv2 | task1081_pib_translation_hindi_marathi | fs_opt | [
0.34998220205307007,
0.0027964296750724316,
0.1690053641796112,
0.042756564915180206,
0.1552826315164566,
-1.493291974067688,
1.0436745882034302,
0.3725026845932007,
-0.06469041109085083,
-0.5841995477676392,
-0.43676725029945374,
0.10708099603652954,
0.13639023900032043,
-0.90614652633666... |
Q: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'a stop sign that has been written on with white ink', Sentence2: 'a man and his dog on the couch with a laptop computer'. Is the frequency of the word 'with' in two sentences equal?
A: | Yes | 7 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt | [
-0.616309642791748,
0.2991814911365509,
-0.2021026909351349,
-0.1719643920660019,
-0.2770399749279022,
0.06854480504989624,
0.2225266993045807,
1.0096502304077148,
0.425459623336792,
-0.2601001262664795,
0.15716709196567535,
0.34076932072639465,
0.30469948053359985,
-0.47537174820899963,
... |
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 they appear in th... | How many more percent of people spoke English as opposed to German or French at home? | 3 | NIv2 | task184_break_generate_question | fs_opt | [
1.0171113014221191,
-0.01153467409312725,
-0.4903859496116638,
0.31186026334762573,
0.6381809711456299,
-0.3504602611064911,
1.0262491703033447,
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0.5854781866073608,
-0.28434452414512634,
0.4686983525753021,
0.023377809673547745,
0.2163788080215454,
... |
Teacher:In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Teacher: Now, understand the problem? Solve this instance: Tadzjiki... | Security considerations have prevented Tajikistan from benefiting fully from TACIS but a rehabilitation programme of EUR 7.2 million has been in place in 1998 and 1999. | 6 | NIv2 | task312_europarl_sv_en_translation | zs_opt | [
-0.5618188381195068,
1.0601027011871338,
0.5468578934669495,
-0.7541365623474121,
0.1969304084777832,
0.3591500222682953,
0.8879449367523193,
0.536822497844696,
0.10693149268627167,
0.4178430736064911,
0.2250405251979828,
0.6654606461524963,
-0.6887994408607483,
-0.25240206718444824,
-0.... |
Teacher:In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
Teacher: Now, understand the problem? Solve this instance: Bulgarian: - Informe: Lienemann, E... | no | 6 | NIv2 | task273_europarl_classification | zs_opt | [
-0.22270318865776062,
0.755266547203064,
0.9760880470275879,
0.008445050567388535,
0.00933135487139225,
-0.4156891107559204,
0.35041239857673645,
0.8907686471939087,
0.47588691115379333,
-0.5978184342384338,
-0.17833992838859558,
0.948650598526001,
-0.9285609722137451,
0.3108547627925873,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and wil... | M3809y537146811097Ieu | 1 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
0.5838053822517395,
0.09934689849615097,
-0.6219079494476318,
-0.20359906554222107,
0.018929652869701385,
-0.1034783273935318,
0.433152437210083,
0.4122709035873413,
-0.9638836979866028,
-0.1397351622581482,
-0.6438064575195312,
-0.15565051138401031,
0.1278379261493683,
0.13505277037620544... |
Q: In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
['5511', 'G', 'q', 'm', 'E', 'q']
A: | G, q, m, E, q | 7 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
0.12102232873439789,
0.31885772943496704,
0.2145737111568451,
-0.9297885298728943,
0.05369456857442856,
-0.49719512462615967,
0.4471278786659241,
-0.25988608598709106,
0.1756434291601181,
0.05710964277386665,
-0.14603286981582642,
-0.5558334589004517,
-0.11071956157684326,
-0.4571938812732... |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
One example is below.
Q: Alonzo feels angry.
A: male
Rationale: The gender of the person is correct and detected mainly based on the name Alonz... | male | 9 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.4583125412464142,
0.5520719289779663,
-0.4354463219642639,
-0.353251576423645,
-0.5352047681808472,
-0.7377272844314575,
0.8076797723770142,
-0.09572398662567139,
0.6124241948127747,
-0.13142327964305878,
-0.9401637315750122,
-0.16292831301689148,
-1.2128793001174927,
0.0128499846905469... |
Teacher:You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Teacher: Now... | hotel | 6 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
-0.33312833309173584,
0.1944628208875656,
0.06130708009004593,
-0.4666309356689453,
0.0968373715877533,
-1.013309121131897,
0.3700939118862152,
1.1003669500350952,
0.07480046153068542,
-0.10339799523353577,
0.42980289459228516,
-0.006663626525551081,
-0.420087993144989,
-0.8145923614501953... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
--------
Question: Dialogue 1: 'so y canapost who said you couldn't d reason y i said that'. Dialogu... | no
| 7 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.004227160941809416,
0.2545584440231323,
0.6705063581466675,
-0.6721927523612976,
-0.08085931837558746,
0.33758997917175293,
0.809186577796936,
0.01659584231674671,
0.15751472115516663,
-0.2640931010246277,
-0.007441557943820953,
-0.3582777976989746,
-0.9359076023101807,
0.24887713789939... |
In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Let me give you an example: Article: Homework can put you in a ... | France Wood doubted Marco Polo's travel's to China because his description _ . | 8 | NIv2 | task649_race_blank_question_generation | fs_opt | [
0.29717546701431274,
0.17492572963237762,
-0.7938715219497681,
-0.27021896839141846,
0.2629327178001404,
0.39341598749160767,
0.8138397932052612,
0.833088755607605,
-0.11776924878358841,
-0.16716009378433228,
0.23455998301506042,
0.14153926074504852,
-0.38934868574142456,
0.632487893104553... |
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
One example is below.
Q: Sentence-1: I'm looking forward to it.<sep>Sentence-2: I did hear about the event next week .
A: Yes
Rationale: We need to check if the ... | No | 9 | NIv2 | task566_circa_classification | fs_opt | [
-0.3409292697906494,
0.18978627026081085,
-0.14908063411712646,
0.17377224564552307,
-0.375479519367218,
-0.6487532258033752,
0.6382555961608887,
0.7776292562484741,
0.4089318513870239,
0.1437603235244751,
-0.4824291467666626,
0.2563896179199219,
-0.7036367058753967,
-0.0647885799407959,
... |
Q: In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
It blows good but quit working in a week. Little fingers can fit in the back. The levels are backwards
A: | Small and blows good but quit working after few uses | 7 | NIv2 | task618_amazonreview_summary_text_generation | zs_opt | [
-0.48505300283432007,
0.6707520484924316,
-0.6047013401985168,
-1.2848416566848755,
-0.029601242393255234,
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0.20082798600196838,
0.508678138256073,
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0.9854044914245605,
-0.4795754551887512,
0.443602979183197,
0.20403754711151123,
-0.2008271664381027... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Let me give you an example: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
The answer to this example can be: (Śmiech) Opublikował wiele filmów o przyrodzie.
Here is why: The Italian sentence is correctly... | Wszystkie nasze komputery mają w środku kopie architektury, którą on zwyczajnie zaprojektował pewnego dnia, można powiedzieć mając tylko papier i ołówek. | 8 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-0.9751710891723633,
0.9011943340301514,
0.07077635824680328,
0.16641929745674133,
-0.7246535420417786,
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0.42510759830474854,
0.21592378616333008,
-0.0821213573217392,
-0.39811161160469055,
-0.4255506992340088,
0.5789282321929932,
-0.40110740065574646,
0.47753220796585... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Ex Input:
Cuando tenemos acceso a ellos, nos impresionan, nos enamoramos.
Ex Output:
וכאשר אנו מקבלים גישה לכל אלה אנו מתפעלים, אנו מתאהבים.
Ex Input:
Cientos de miles de personas viven en campos como estos, y cientos de... | ומגיל צעיר ראיתי שמשרה טובה ושכר טוב היוו הבדל משמעותי עבור משפחות מתקשות.
| 1 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.28828826546669006,
0.25482457876205444,
-0.26402443647384644,
0.34689122438430786,
-0.6807417869567871,
-0.5698227882385254,
0.9375567436218262,
0.7495989203453064,
0.41710513830184937,
-0.18385003507137299,
-0.8111050724983215,
0.4784373939037323,
-0.8973849415779114,
-0.30478784441947... |
Detailed Instructions: Given a scientific question, generate a correct answer to it.
Problem:What can be combined with an amine to form an amide?
Solution: | carboxylic acid | 8 | NIv2 | task591_sciq_answer_generation | zs_opt | [
1.9672975540161133,
1.4188652038574219,
0.32768484950065613,
-0.7421567440032959,
-0.6031185984611511,
-0.4887705445289612,
-0.42083942890167236,
0.47830939292907715,
-0.03857969492673874,
-0.41357702016830444,
-0.6828094720840454,
-0.27066782116889954,
-1.368554711341858,
-0.2258678823709... |
TASK DEFINITION: In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
PROBLEM: After he ... | Social Science
| 8 | NIv2 | task521_trivia_question_classification | fs_opt | [
0.11544758081436157,
0.1453709602355957,
0.3537110984325409,
0.5056265592575073,
0.26847758889198303,
-0.511384904384613,
-0.005951483268290758,
0.4935472309589386,
-0.049088552594184875,
0.24095234274864197,
-0.5222803354263306,
0.09607899188995361,
-0.6557778120040894,
0.0019199328962713... |
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 ... | I did something standard on that holiday .
| 6 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
0.18189188838005066,
0.7085224390029907,
-0.23754875361919403,
0.6363337635993958,
0.23208677768707275,
-0.923076868057251,
0.3147871196269989,
0.7421290874481201,
0.0448339581489563,
-0.23389258980751038,
-0.4565727114677429,
0.279840886592865,
-0.4318988621234894,
-0.07854482531547546,
... |
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 | 4 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
0.663663387298584,
0.09551481902599335,
0.683955192565918,
0.12035821378231049,
-0.15917415916919708,
-1.114524006843567,
0.10625874996185303,
0.636573076248169,
-0.617976188659668,
-0.04648428037762642,
-0.7778950929641724,
-0.6564270257949829,
-0.4029799699783325,
-0.3564326763153076,
... |
Definition: You are given a news article in the Thai language and a genre in the English language. Classify the sentiment of the given genre into "positive" and "negative" according to the Thai article.
Input: Title: แพทย์ชนบท-เครือข่ายผู้ป่วยประท้วง P4P รมว.สธ.สวนข้อประท้วงไม่สามารถรับได้
Body: กลุ่มแพทย์ชนบท-เครือข... | negative | 2 | NIv2 | task974_prachathai67k_sentiment_classification | zs_opt | [
0.6807438135147095,
-0.5500673055648804,
-0.21447080373764038,
-0.37875744700431824,
0.7591327428817749,
-0.32658421993255615,
0.5937509536743164,
0.9391838312149048,
-0.035825613886117935,
0.48304006457328796,
-0.5012179613113403,
0.8701146841049194,
0.03234747424721718,
0.402425736188888... |
Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: داخل اتاق سرور با دمای کنترل شده راه رفتیم.
Student: | Tivemos que atravessar a sala climatizada dos servidores. | 6 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.4496520161628723,
0.3602689206600189,
-0.6723973155021667,
-0.40596020221710205,
-0.7543690204620361,
0.0962524265050888,
0.031054887920618057,
0.5426156520843506,
0.5802410840988159,
-0.04660540074110031,
0.1240105926990509,
-0.0005347140831872821,
-0.07967974245548248,
-0.208880886435... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Q: E chama-se "" As Sementes do Futuro são Plantadas Hoje. "" É uma história sobre a transformação e as ligações.
A: | והיא נקראת "" זרעי העתיד נזרעים כעת "" זהו סיפור על שינוי וקשרים. | 9 | NIv2 | task1278_ted_translation_pt_he | zs_opt | [
-0.6469102501869202,
0.7011092305183411,
0.5358452200889587,
0.039976246654987335,
-0.8757994174957275,
-0.46932244300842285,
0.63455730676651,
0.11247219145298004,
0.3375459909439087,
-0.22455599904060364,
-0.9828245639801025,
0.7524232864379883,
-0.6390281915664673,
0.443705677986145,
... |
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... | get ready for bed | 5 | NIv2 | task595_mocha_answer_generation | zs_opt | [
-0.1316925436258316,
1.1228792667388916,
-0.2878621220588684,
0.7246384620666504,
-0.2916530668735504,
-0.06425320357084274,
0.9279989004135132,
0.017234157770872116,
-0.1097688376903534,
0.2463906705379486,
-0.06571225076913834,
-0.04125698655843735,
-0.4109042286872864,
0.073607511818408... |
Definition: Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that... | mechanical energy. | 2 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.06725497543811798,
1.1698741912841797,
0.02700122818350792,
0.010305039584636688,
-0.1588047742843628,
-1.3204479217529297,
0.05361643806099892,
0.45198675990104675,
-0.07901068031787872,
0.13837681710720062,
-0.7016850113868713,
0.07429790496826172,
-0.4292789697647095,
0.00120323686860... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Non-obscene | 0 | NIv2 | task326_jigsaw_classification_obscene | zs_opt | [
-0.017864994704723358,
0.9744763374328613,
0.30376285314559937,
0.09184394776821136,
0.2967452108860016,
0.17104950547218323,
0.6925698518753052,
0.3423798382282257,
0.3346216082572937,
-0.17770545184612274,
-0.38491350412368774,
0.09008977562189102,
-0.3477645218372345,
-0.395549595355987... |
Given the task definition, example input & output, solve the new input case.
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that hav... | Not Funny | 1 | NIv2 | task495_semeval_headline_classification | fs_opt | [
-0.13556016981601715,
0.587733268737793,
0.3861806094646454,
-0.05162975192070007,
-0.040896397083997726,
-0.036598172038793564,
0.350911408662796,
1.0269975662231445,
0.15108905732631683,
0.3648691177368164,
-0.5962471961975098,
-0.6730803847312927,
-0.07482447475194931,
-0.22719106078147... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Example input: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Example output: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Example explanation: The A... | ועדיין אם אתה רציונליסט או מיסטיקן, אם אתה חושב שהמילים שמוחמד שמע באותו לילה באו מתוך עצמו או מבחוץ, מה שברור הוא שהוא חווה אותם ושהוא עשה זאת עם כוח שהיה מנפץ את התפיסה שלו את עצמו ואת עולמו ויהפוך את האדם הצנוע הזה מכל בחינה אחרת לתומך רדיקלי בצדק חברתי וכלכלי. | 3 | NIv2 | task1233_ted_translation_ar_he | fs_opt | [
-0.4827544689178467,
0.3697549104690552,
0.36966800689697266,
-0.736201822757721,
-0.47939378023147583,
-0.5923168659210205,
1.2659854888916016,
-0.1587470918893814,
0.7175626754760742,
-0.4445006847381592,
-1.1074986457824707,
0.2920207679271698,
-0.9580121040344238,
-0.000155570742208510... |
Detailed Instructions: Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop ... | cause | 9 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
0.43358463048934937,
0.9712364673614502,
0.3360426425933838,
-0.8645576238632202,
-0.010793203487992287,
-0.9632595181465149,
0.6796747446060181,
-0.020335659384727478,
0.29203253984451294,
-0.9709752798080444,
-0.7366735935211182,
-0.15735995769500732,
-1.1234289407730103,
0.4750022888183... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Example: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
Example solution: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Example explanation: The Arabic... | Solution: היא תהפוך אתכם לבני אלמוות. | 5 | NIv2 | task1233_ted_translation_ar_he | fs_opt | [
-0.6055371761322021,
0.5612159967422485,
-0.3017715811729431,
-0.63199782371521,
-0.45310908555984497,
-0.40291741490364075,
1.2293975353240967,
-0.22890812158584595,
0.4890911877155304,
-0.30906593799591064,
-1.0926192998886108,
-0.09585024416446686,
-0.8365246653556824,
0.028147049248218... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Tenemos que reformar nuestros países, cambiar nuestros líderes, hacernos más democráticos, estar más abiertos al cambio y a la información. | We have to reform our economies, change our leadership, become more democratic, be more open to change and to information. | 0 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.5396221876144409,
0.6019397377967834,
0.3464425802230835,
-0.7496392726898193,
-0.1732296198606491,
-0.7339696288108826,
0.4319291114807129,
0.31869107484817505,
-0.08437718451023102,
-0.4183352589607239,
0.1857357770204544,
-0.46042943000793457,
-0.6754562854766846,
-0.0225008502602577... |
Teacher:You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Teacher: Now, understand the problem? Solve this instance: Category: RED BOOK
Clue: Th... | jung | 6 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-1.0350443124771118,
0.5594853162765503,
-0.28953588008880615,
-0.6891806125640869,
-0.17976239323616028,
0.0930241122841835,
0.6219027042388916,
0.03810196369886398,
0.7056605815887451,
-0.03157510608434677,
-0.47944748401641846,
0.46979212760925293,
-1.0735951662063599,
-0.35079386830329... |
Detailed Instructions: Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonabl... | Sie werden wahrscheinlich ein Radiostudio in einem Gebäude finden. | 9 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.5306799411773682,
0.4136554002761841,
0.0900329202413559,
-0.7335298657417297,
0.0037074636202305555,
-0.16750508546829224,
0.46482768654823303,
0.9227484464645386,
0.37065988779067993,
-0.5084534883499146,
-0.32939857244491577,
-0.0712888240814209,
-0.8525955677032471,
0.06839526444673... |
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Example input: My boyfri... | bringing spicy lunches to work | 3 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
-0.5389237999916077,
-0.1567816138267517,
0.16194340586662292,
-0.0008975082309916615,
0.6623880863189697,
-0.6313188076019287,
0.019376348704099655,
0.3831007778644562,
-0.2258872091770172,
0.07054081559181213,
0.5076586008071899,
0.2565942704677582,
-0.778814435005188,
0.2261030077934265... |
Part 1. Definition
Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Part 2. Example
रोजगार कार्यालय जाओ.
Answer: Go to the employment office.
Explanation: The translation is correct
Part 3. Exercise
आप उस... | He was a late-comer you might say. | 7 | NIv2 | task1323_open_subtitles_hi_en_translation | fs_opt | [
-0.08168023824691772,
1.0565253496170044,
0.2549000680446625,
0.44794541597366333,
0.038907647132873535,
0.08039630949497223,
-0.08133843541145325,
0.04875776171684265,
0.16098302602767944,
-0.5404413342475891,
-0.6510156393051147,
0.12224127352237701,
-0.46351557970046997,
0.2259745150804... |
instruction:
In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to... | What are the main religions in the place where the Fazl Mosque was built?
| 9 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
0.1128753274679184,
0.3442979156970978,
0.1460990458726883,
-0.16774380207061768,
-0.1823548525571823,
-0.4582141041755676,
0.9110995531082153,
1.0486481189727783,
0.1344786286354065,
0.26948535442352295,
0.16349881887435913,
0.2862913906574249,
-0.916319727897644,
0.14615729451179504,
-... |
Given the task definition and input, reply with output. In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
[header] How to make vegan mock tuna salad... | A | 5 | NIv2 | task1389_hellaswag_completion | zs_opt | [
0.22745516896247864,
0.5301350355148315,
-0.23702502250671387,
0.08938154578208923,
-0.6520106196403503,
-0.5330187082290649,
0.17011453211307526,
0.731993556022644,
0.1348448395729065,
-0.3643289804458618,
0.3825095593929291,
-0.050119854509830475,
0.18881475925445557,
-0.3254748582839966... |
Given the task definition and input, reply with output. This task is about identifying the subject of a given sentence. The subject of a sentence is the person, place, or thing that is performing the action of the sentence. The subject represents what or whom the sentence is about. Each sentence in this task is guarant... | Haiti | 5 | NIv2 | task1411_dart_subject_identification | zs_opt | [
-0.5103522539138794,
0.5840535163879395,
-0.10732391476631165,
0.1894177496433258,
-0.07003921270370483,
-0.372403085231781,
0.07335931062698364,
0.11870790272951126,
0.40361738204956055,
-0.12938421964645386,
-1.4585899114608765,
0.28275996446609497,
-0.21977147459983826,
0.24921831488609... |
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 preceding the last i elements. i will always have a value less than the length of A.
Q: 1, ['M', '6901', '6563', '4931', 'A', '4939', '7761']
A: | M, 6901, 6563, 4931, A, 4939 | 4 | NIv2 | task078_all_elements_except_last_i | zs_opt | [
0.9535739421844482,
0.2583763897418976,
-0.07660331577062607,
-0.9560860991477966,
-0.5966482162475586,
-0.467582106590271,
0.05768900364637375,
-0.27947086095809937,
-0.03352736309170723,
-0.614730715751648,
-0.9187006950378418,
-0.04253262281417847,
0.023962073028087616,
-0.3873573243618... |
Detailed Instructions: In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False"
Problem:Review: Good heavens. Is this a money-laundering scheme? How dare anyone make a movie this bad? H... | True | 8 | NIv2 | task1313_amazonreview_polarity_classification | zs_opt | [
-0.7239267230033875,
0.07581642270088196,
0.5520493984222412,
-0.3170812726020813,
-0.23371167480945587,
0.05329953879117966,
0.9965192675590515,
0.39811909198760986,
0.5595444440841675,
0.2298412322998047,
-0.6061010360717773,
-0.11133478581905365,
-0.37539029121398926,
-0.696516394615173... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
6, 7, ['Y', 'Y', '5593', '1939', '13... | 7301, j | 0 | NIv2 | task091_all_elements_from_index_i_to_j | zs_opt | [
-0.3326237201690674,
0.45086368918418884,
-0.17691028118133545,
-0.07719876617193222,
-0.10090772807598114,
-0.357207715511322,
0.6310930252075195,
-0.0486656092107296,
-0.013380728662014008,
-0.05892922729253769,
-0.9286906123161316,
-0.10659673064947128,
-0.25670957565307617,
-0.01208343... |
Instructions: In this task, you will be given sentences in which your task is to recognize the name of the location or place. Although there might be several correct answers, you need to write one of them.
Input: Greetings from Montpellier , France 🇫🇷 tps://t.co/PSleTSIEmD
Output: | Montpellier , France | 3 | NIv2 | task1452_location_entity_extraction_btc_corpus | zs_opt | [
-0.006954492535442114,
0.9893103837966919,
-0.3300507366657257,
-0.7091524004936218,
-0.03468335419893265,
-0.3750561475753784,
0.040381450206041336,
-0.9113461971282959,
0.49537739157676697,
-0.6017409563064575,
-0.6589008569717407,
-0.1625366061925888,
0.186611607670784,
-0.3550354242324... |
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