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 |
|---|---|---|---|---|---|---|
Part 1. Definition
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when... | Handing the bill to Jan, Kim said that lunch was on her. | 7 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
-0.25800347328186035,
0.6124094128608704,
-0.05880045145750046,
-0.8348147869110107,
-0.5250182747840881,
0.4787839651107788,
0.5830785632133484,
0.2009454071521759,
-0.2774462401866913,
-0.6025310158729553,
-0.6065316200256348,
0.26803621649742126,
-0.21551117300987244,
0.3257744014263153... |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
One example is below.
Q: Somali sentence: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid
A: Lionel Messi is the greatest football player of all time
Rationale: The output exact... | But there are lots of people who can help you. | 9 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt | [
0.13462156057357788,
1.0789084434509277,
-0.41727060079574585,
0.16419219970703125,
0.33747950196266174,
-1.5073695182800293,
-0.21021482348442078,
0.6060522198677063,
0.5303533673286438,
-0.46271151304244995,
-0.31038641929626465,
1.1545634269714355,
-0.795119047164917,
-0.166640520095825... |
Teacher: In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
Teacher... | The film starts with Nobita helping an old woman to cross a busy road. Being pleased with his conduct, she says that Nobita will be a good bridegroom in the future. While returning home, he sees Dekisugi expressing his love to Shizuka which makes Nobita cry even though it was a rehearsal for a play in Nobitas school—No... | 2 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.32900911569595337,
-0.13100144267082214,
-0.29681599140167236,
0.5044881701469421,
0.09622425585985184,
-0.8905297517776489,
0.19093941152095795,
1.3338068723678589,
-0.5255087018013,
0.24410097301006317,
-0.26708123087882996,
-0.20389647781848907,
-0.41466856002807617,
0.953425467014312... |
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 context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Context: Our prayers are wi... | june 19th, 2016 | 0 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
-0.016644377261400223,
0.45114272832870483,
0.6185028553009033,
-0.3837723731994629,
0.14850886166095734,
-0.4389035701751709,
0.3799492418766022,
0.3736765384674072,
0.30294346809387207,
0.09322728216648102,
-0.3942822217941284,
-0.20928388833999634,
0.049998871982097626,
0.25446057319641... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Problem:אז לקחתי על עצמי מה שאנחנו קוראים לו גישת המערכת הביולוגית כדי לקבל הבנה מעמיקה של עמידות ליובש, בה אנחנו מביטים בהכל מהמולקולרי לכל הצמח, ברמה האקופיזיולוגית.
Solution: | به همین دلیل از یک راهکار زیست شناسی سیستمی استفاده کردم تا بتوانم یک فهم کامل از مقاومت به خشکی به دست آورم. هنگامی که با آن مدل به چیزی نگاه می کنیم از مقیاس سلولی تا کل گیاه و سطح اکوفیزیولوژی قابل تفسیر باشد. | 8 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.1756083369255066,
0.2939595878124237,
-0.4313657283782959,
-0.11430990695953369,
-0.550048291683197,
-0.6234252452850342,
0.553665041923523,
0.08346042782068253,
0.27289900183677673,
0.18556883931159973,
-1.234921932220459,
-0.02849017083644867,
-0.7514691948890686,
0.5660614967346191,
... |
Q: 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: This firm is a train wreck, selling very very expensive fu... | Sexual-explicit | 7 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-1.6756231784820557,
0.07381056249141693,
0.25759729743003845,
-0.20299431681632996,
0.10973258316516876,
-0.020698297768831253,
0.08281178027391434,
0.8486192226409912,
0.10749705135822296,
0.4753016233444214,
0.44717323780059814,
-0.15008780360221863,
0.2918812036514282,
-0.7165063619613... |
Q: Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., ... | no | 7 | NIv2 | task115_help_advice_classification | zs_opt | [
-0.03787843883037567,
0.4880116283893585,
0.26933398842811584,
0.2153933048248291,
0.23897424340248108,
-1.5720794200897217,
0.5907210111618042,
0.8306407928466797,
0.3997984528541565,
0.20229974389076233,
-0.3797244429588318,
-0.3848870098590851,
-0.5685939788818359,
-0.024408020079135895... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Q: و من زمین خورده بودم ، و شکست خورده بودم و عصبانی بودم.
A: | E eu estava no chão, despedaçada, e estava chateada. | 9 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.35553616285324097,
1.2949963808059692,
-0.4371000826358795,
-0.6991926431655884,
-0.4270460605621338,
-0.9670048952102661,
0.06978445500135422,
1.346234679222107,
0.42401424050331116,
0.6215628385543823,
-0.7038587331771851,
0.3319879174232483,
-0.20864607393741608,
0.539722204208374,
... |
Instructions: Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Japanese: 小さな町パンガンダランのように受けた被害のもっとも大きい地域では、通常に戻り始めていて、そこで... | Yes | 3 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.029712218791246414,
0.3773031234741211,
0.24465028941631317,
-0.005967890843749046,
0.3252889811992645,
-0.7917143702507019,
0.8533989191055298,
0.425778329372406,
-0.09254718571901321,
-0.34522545337677,
-0.8000862002372742,
0.5030695199966431,
-1.003553032875061,
0.32150787115097046,
... |
Detailed Instructions: In this task, a passage will be given and the goal is to generate a question about temporal relations based on that passage. A temporal relation describes the relation between two things with respect to time e.g., something happens/starts/terminates/... immediately/shortly/usually/... before/afte... | What event has already finished? | 9 | NIv2 | task389_torque_generate_temporal_question | zs_opt | [
-1.0418750047683716,
1.034895658493042,
-0.14536936581134796,
-0.6584983468055725,
-0.4527280330657959,
0.4398743510246277,
0.35168084502220154,
0.12932388484477997,
0.2551267445087433,
0.2275230884552002,
-0.0833463966846466,
-0.41065818071365356,
-0.7038869261741638,
0.8466847538948059,
... |
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
Let me give you an example: She shone her light around the space, followin... | Past | 8 | NIv2 | task429_senteval_tense | fs_opt | [
-0.5622483491897583,
0.6652446985244751,
0.20403608679771423,
-0.09829332679510117,
0.24797387421131134,
-0.06602318584918976,
0.5973291993141174,
1.0027294158935547,
0.3679896593093872,
-0.1599385142326355,
-0.3129626512527466,
0.42220550775527954,
-0.6051520109176636,
-0.2518652975559234... |
Q: Given a paragraph and a question in Spanish, answer the question from the text. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.
Párrafo: De 2005 a 2014 hubo dos equipos de las ligas mayores de fútbol en Los Ángeles: el LA Galaxy y el Chiva... | 2018 | 7 | NIv2 | task1610_xquad_es_answer_generation | zs_opt | [
-0.04197809845209122,
-0.015858571976423264,
-0.5995172262191772,
0.23764443397521973,
0.1384831815958023,
-0.6778207421302795,
0.2653372287750244,
0.14044621586799622,
-0.8473262786865234,
0.30543625354766846,
-0.495278537273407,
0.26184189319610596,
-0.46300601959228516,
-0.2407362759113... |
You will be given a definition of a task first, then some input of the task.
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 .
Statement: ਭਗਤ ਤ੍ਰਿਲੋਚਨ ਜੀ ਦਾ ਜਨਮ 12... | ਮਹਾਂਰਾਸ਼ਟਰ | 1 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | zs_opt | [
-0.15010859072208405,
0.59410160779953,
0.0251865703612566,
0.11303496360778809,
-0.047798942774534225,
-0.5439577102661133,
0.3456140458583832,
0.44871076941490173,
-0.041831981390714645,
-0.18103235960006714,
-0.7309777736663818,
0.16828158497810364,
-0.8138080835342407,
0.00278152665123... |
Definition: In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Input: Cineva clătește o friptură mare de vită la chiuveta din bucătărie.
Output: | Someone is rinsing a large beef steak at the kitchen sink. | 2 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
-0.6821528673171997,
0.4064103960990906,
-0.24537652730941772,
-0.013333402574062347,
-0.04767636954784393,
-0.42782315611839294,
0.06478605419397354,
1.0257248878479004,
0.7141108512878418,
0.6471881866455078,
-0.20502614974975586,
-0.06673192977905273,
-0.35795170068740845,
0.35732987523... |
Definition: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in t... | NNP | 2 | NIv2 | task347_hybridqa_incorrect_answer_generation | zs_opt | [
0.6836932897567749,
0.6681637763977051,
-0.417990505695343,
0.8400275707244873,
0.16043639183044434,
-0.8314430117607117,
0.4081639349460602,
0.5367905497550964,
-0.6983139514923096,
-0.0013037963071838021,
-0.38525426387786865,
0.2856094241142273,
-0.16603046655654907,
0.22014978528022766... |
Teacher:In this task you're given two statements in Hindi. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output either the word 'cause' or 'effect'.
Teacher: Now, understand the problem? Solve this instance: मेरा जबड़ा खुला रह गया... | cause | 6 | NIv2 | task939_copa_hi_commonsense_cause_effect | zs_opt | [
-0.40441542863845825,
-0.22991156578063965,
0.13031642138957977,
-0.6839896440505981,
-0.340550035238266,
-0.3647106885910034,
-0.09394855052232742,
1.033126950263977,
-0.1080944836139679,
-0.6011642217636108,
-0.4800105690956116,
-0.40234944224357605,
-0.5857311487197876,
-0.5371268391609... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: ['l', '1895', 'b']
Student: | l, b | 6 | NIv2 | task488_extract_all_alphabetical_elements_from_list_in_order | zs_opt | [
-0.19506752490997314,
0.31572699546813965,
-0.12836293876171112,
-0.4659390449523926,
-0.46507343649864197,
0.049650538712739944,
0.48942726850509644,
0.31319767236709595,
-0.27845609188079834,
-0.04771066829562187,
-0.1276005059480667,
-0.5458661317825317,
0.11312068998813629,
-0.44291925... |
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 Persian. Your job is to translate the Farsi sentence into Portugese.
من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
Solution: E eu continuo a pensar que o transport... | Então, um dado tipo de biomolécula poderá ficar azul. | 0 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
-0.23913919925689697,
0.15215788781642914,
0.39362722635269165,
0.14165641367435455,
-0.47667601704597473,
0.10731223225593567,
0.48833808302879333,
0.22185218334197998,
0.17566275596618652,
0.22349055111408234,
-0.6674773097038269,
0.1296994984149933,
0.03834603726863861,
0.63263279199600... |
Detailed Instructions: In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generat... | 12435 | 8 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.21068769693374634,
0.623995304107666,
-0.7570770978927612,
-0.33618348836898804,
-0.19966572523117065,
-0.38225555419921875,
0.058471135795116425,
0.17014139890670776,
0.5095170736312866,
-0.030341263860464096,
-0.5654212236404419,
-0.18151599168777466,
-0.7340353727340698,
0.4877927303... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Abstract: The Cancer Genome Atlas Network recently cataloged recurrent genomic abnormalities in glioblastoma multiforme (GBM). We describ... | no
| 0 | NIv2 | task1587_scifact_classification | fs_opt | [
0.3111236095428467,
-0.15110936760902405,
0.10161882638931274,
-0.5558165311813354,
0.35125744342803955,
-0.4690014123916626,
0.7958980798721313,
1.0054357051849365,
0.018767278641462326,
0.34650951623916626,
-0.2790229916572571,
0.17310255765914917,
-0.3240087330341339,
0.2082594037055969... |
Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
Q: RT @anonymized_account Wymyśliłem taki kapitalny żart, że aż mi się głowa spociła.\nW jaki sposób Denis Urubko wita się z mieszkańcami Malajów?…
A: | 0 | 4 | NIv2 | task838_cdt_classification | zs_opt | [
-0.9677982330322266,
1.071872591972351,
0.7089360952377319,
-0.1791345179080963,
-0.543295681476593,
-0.07840490341186523,
0.9774495363235474,
-0.6789752244949341,
-0.08992660045623779,
-0.17244622111320496,
-0.5980045199394226,
0.23370979726314545,
-0.5149893760681152,
-0.3621198534965515... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Italian.
Input: And the bigger your gesture gets, the more ill-defined, blurry and, frankly, useless it is to the orchestra.
Output: | E più grandi sono i vostri gesti, più imprecisi, indefiniti e, francamente, più inutili, diventano per l'orchestra. | 2 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
-0.39392897486686707,
0.8353156447410583,
-0.27484413981437683,
0.08601178228855133,
0.14043378829956055,
0.08144466578960419,
-0.04046260565519333,
0.6417887210845947,
0.14433296024799347,
0.27801552414894104,
-0.0967949628829956,
-0.32735148072242737,
-0.09111703187227249,
-0.12042067199... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
domizbi, xUmitw
Output: | b, d, i, m, o, z | 1 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | zs_opt | [
-0.49873074889183044,
0.35186120867729187,
-0.28118693828582764,
-0.3789733052253723,
-0.16885213553905487,
0.21863138675689697,
1.261634111404419,
-0.6921157240867615,
0.25268012285232544,
-0.27994590997695923,
-0.6753825545310974,
-0.38043636083602905,
0.6757932901382446,
-0.312443137168... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be presented with a question in Persian. Based on the knowledge you need to answer the question, classify the question into "math_and_logic", "literature", or "common_knowledge".
Example: عدد 30 را بر نیم تقسیم می کنیم و... | literature | 1 | NIv2 | task474_parsinlu_mc_classification | fs_opt | [
-0.7096981406211853,
0.389922559261322,
-0.031225891783833504,
0.1933962106704712,
-0.43631359934806824,
0.7221001386642456,
0.7482039928436279,
0.3010936379432678,
0.593825101852417,
-0.45725017786026,
-0.2872394323348999,
0.5139334201812744,
-0.32237115502357483,
-0.06659813225269318,
... |
Given the task definition and input, reply with output. In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions a... | What person did Churchill warn against? | 5 | NIv2 | task001_quoref_question_generation | zs_opt | [
0.2658239006996155,
0.5889054536819458,
-0.4528605341911316,
0.12051108479499817,
0.27459341287612915,
-0.4317566156387329,
0.845522940158844,
0.6898934841156006,
0.30164921283721924,
-0.10504472255706787,
-0.15121009945869446,
1.0000362396240234,
-0.5331357717514038,
0.30326539278030396,
... |
instruction:
This task is about translating a given French language sentence to English.
question:
Fais comme chez toi.
answer:
Yeah, make yourself at home.
question:
Comment expliquer alors la ronde... des planètes dans le ciel?
answer:
But then, how explain the loop-the-loop motion... ...of the planets in the sky?
... | Â Now I want to draw your attention to what happens over here on this part of the chart, between the readings of 10 and 5.
| 9 | NIv2 | task1690_qed_amara_translation | fs_opt | [
-0.8848540782928467,
0.9431655406951904,
0.23592451214790344,
-0.11560961604118347,
-0.07635603845119476,
-0.4866476058959961,
0.1280738115310669,
-0.19522538781166077,
-0.4753342270851135,
0.3552495241165161,
-0.2087877094745636,
0.34318533539772034,
-0.8320304155349731,
-0.13668082654476... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to reverse the order of words in the given sentence.
Sentence: an electronic device has a nine volt battery attached
Output: | attached battery volt nine a has device electronic an | 1 | NIv2 | task376_reverse_order_of_words | zs_opt | [
0.26473337411880493,
0.8285602927207947,
-0.4310724139213562,
-0.5068762302398682,
-0.5953370332717896,
-0.045004162937402725,
0.2809867858886719,
0.41245037317276,
0.12231108546257019,
0.46537816524505615,
-0.49547678232192993,
0.2556127905845642,
-0.8241311311721802,
0.00233117095194757,... |
Teacher: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the ... | look around left twice after run around left thrice | 2 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.34756386280059814,
0.4652249813079834,
-0.46912068128585815,
-0.25377389788627625,
-0.12279732525348663,
0.2739782929420471,
0.0996764600276947,
0.8610785007476807,
-0.2799520194530487,
-0.21327340602874756,
-0.8446577191352844,
-0.15984366834163666,
-0.739159107208252,
-0.15292927622795... |
You will be given a definition of a task first, then some input of the task.
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture ... | [['Adolfo Suárez Madrid–Barajas Airport', 'ELEVATION', '610.0']] | 1 | NIv2 | task1410_dart_relationship_extraction | zs_opt | [
-0.3129351735115051,
0.5548239946365356,
-0.5795662999153137,
-0.5557532906532288,
-0.37340396642684937,
0.368865042924881,
1.2041199207305908,
0.01997140422463417,
0.12732267379760742,
-0.5654207468032837,
-1.2170237302780151,
-0.21200750768184662,
-0.7016052007675171,
0.5280948281288147,... |
Given the task definition and input, reply with output. The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Finnish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally writt... | "Sitten on parasta, että otamme selville, onko hän todellakin siellä, vai onko hän ehkä Lontoossa." | 5 | NIv2 | task1650_opus_books_en-fi_translation | zs_opt | [
-0.7675275802612305,
1.0398927927017212,
0.48637402057647705,
-0.47127342224121094,
0.32636797428131104,
-0.7001256942749023,
0.846263587474823,
-0.016320843249559402,
0.06803189218044281,
-0.4385477602481842,
-0.42588338255882263,
1.3640620708465576,
-1.6374905109405518,
0.507765054702758... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.
Input: آماده اید ؟ شروع کنید.
Output: | האם אתם מוכנים? תתחילו. | 3 | NIv2 | task1269_ted_translation_fa_he | zs_opt | [
0.4689895510673523,
0.9489395618438721,
-0.15580400824546814,
0.7153573036193848,
-0.5049625635147095,
0.4298342764377594,
0.5306746959686279,
0.8669682145118713,
1.1716432571411133,
0.19000741839408875,
-0.8589686751365662,
-0.2683464288711548,
-0.7015498876571655,
-0.044235218316316605,
... |
Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | 夜总会是听现场音乐的地方 | 6 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
0.09047160297632217,
0.26744645833969116,
-0.48322877287864685,
0.08076297491788864,
0.2222016453742981,
-0.40351998805999756,
-0.1884971261024475,
0.8190909624099731,
-0.13955916464328766,
0.19429247081279755,
-0.5909324884414673,
-0.10176830738782883,
-0.3117487132549286,
0.0151550825685... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Q: 他人と本気で向き合うなら自分をさらけ出さないといけません
A: | If you're going to be real with someone, you gotta be ready for real in return. | 9 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
0.38236379623413086,
0.1949007511138916,
0.8238425254821777,
-0.9876255989074707,
-0.3613043427467346,
-0.6907967329025269,
0.0007969563594087958,
-1.0652192831039429,
0.27021217346191406,
-0.32479602098464966,
0.4813198149204254,
0.1569252610206604,
-0.8727536797523499,
0.6387956142425537... |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Optio... | Option 2
| 0 | NIv2 | task065_timetravel_consistent_sentence_classification | fs_opt | [
0.38145849108695984,
-0.298286110162735,
-0.39916765689849854,
0.2985897660255432,
0.01210772804915905,
-0.5934782028198242,
0.07004822790622711,
1.68310546875,
-0.17705050110816956,
-0.1500452160835266,
-0.3142589032649994,
-0.15104681253433228,
-0.0713161826133728,
-0.11067003756761551,
... |
You will be given a definition of a task first, then some input of the task.
You are provided with a user review of a restaurant. Your task is to classify the given review into two categories: 1) positive, and 2) negative based on its content.
Was visiting from out of town and waited for about 45 minutes then was told... | negative | 1 | NIv2 | task746_yelp_restaurant_review_classification | zs_opt | [
-0.7170634269714355,
0.3028561472892761,
-0.07356993854045868,
0.3272680640220642,
0.17826032638549805,
0.03970544785261154,
0.11891717463731766,
0.5917451977729797,
0.500886082649231,
0.26564061641693115,
0.3954707980155945,
-0.31476905941963196,
0.014900483191013336,
-0.1154429018497467,... |
Part 1. Definition
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Part 2. Example
['238', 'h', '92', 'U', '2799']
Answer: 3129
Explanation: Here, the numbers in the input list are '238', '92' and '2799', hence their sum (238+92+2799) ... | 57823 | 7 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
-0.5402622818946838,
0.07911796867847443,
-0.5661602020263672,
-0.8114011287689209,
0.2616373598575592,
-0.1937660127878189,
0.01920308917760849,
-0.24831603467464447,
-0.7364402413368225,
-0.08783848583698273,
-1.1025819778442383,
0.017699146643280983,
0.3016897141933441,
-0.5202212333679... |
In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the endin... | Ivy thought her new belt was functional and fashionable! | 8 | NIv2 | task071_abductivenli_answer_generation | fs_opt | [
-0.16631482541561127,
0.7494286298751831,
-0.06280850619077682,
-0.5094937086105347,
-0.45915013551712036,
0.16306117177009583,
0.5930678844451904,
0.5961089134216309,
0.07854965329170227,
-0.4251616597175598,
-0.7864685654640198,
0.7241380214691162,
-0.04864547774195671,
0.034320697188377... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely g... | 5 | 1 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
0.04671934247016907,
-0.31375381350517273,
0.32384413480758667,
0.5392091870307922,
0.6888024806976318,
0.20956531167030334,
0.7064522504806519,
1.025602102279663,
-0.5824819803237915,
0.578495979309082,
-0.0007384323980659246,
-0.38430947065353394,
-0.627301812171936,
0.003769790753722191... |
Detailed Instructions: In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Q: We had a debate ... | health-care | 9 | NIv2 | task613_politifact_text_generation | zs_opt | [
0.017126539722085,
0.5059370994567871,
0.1920633614063263,
-0.24928374588489532,
-0.14396002888679504,
-0.8553702235221863,
0.7567723989486694,
0.5842374563217163,
0.632168710231781,
0.5376171469688416,
0.3246794044971466,
0.3319372534751892,
0.02306697890162468,
-0.29750746488571167,
-0... |
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 inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length o... | W, 2317, M, 2637, 6961, 6835, 3601, C, U, 1389, 5171, A | 0 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
0.21361547708511353,
0.10726982355117798,
-0.2289692461490631,
-0.42266613245010376,
-0.001672798185609281,
0.1353103518486023,
0.3143444061279297,
0.5953300595283508,
-0.3618911802768707,
0.08230169117450714,
-0.5185270309448242,
-0.26467612385749817,
0.41575556993484497,
-0.2358358502388... |
Part 1. Definition
You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Part 2. Example
a paper bag can ... | 6 | 7 | NIv2 | task862_asdiv_multidiv_question_answering | fs_opt | [
0.2091924548149109,
0.593948483467102,
-0.17889440059661865,
-0.7065797448158264,
-0.46672120690345764,
0.7230137586593628,
0.7337512373924255,
0.1596323400735855,
0.33985450863838196,
-0.7865151166915894,
-0.488120436668396,
0.15073269605636597,
-0.09719544649124146,
-0.16466078162193298,... |
Instructions: Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is ... | Bad | 3 | NIv2 | task673_google_wellformed_query_classification | zs_opt | [
-1.0642411708831787,
0.5266153216362,
-0.2303081899881363,
-0.07273846864700317,
-0.364690899848938,
-0.078975610435009,
0.025980373844504356,
0.1387384831905365,
-0.017119549214839935,
0.27708348631858826,
-0.631195068359375,
0.28100889921188354,
-0.5675191879272461,
-0.1763850748538971,
... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | strengthener | 8 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
0.5129677057266235,
0.253244549036026,
-0.677180290222168,
0.045555949211120605,
-0.06344622373580933,
-0.8602323532104492,
0.6365587711334229,
1.304715871810913,
0.6862521171569824,
-0.272640585899353,
-0.9912785887718201,
0.3105137348175049,
-0.6303054094314575,
0.06962572038173676,
0.... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Problem:Można wypracować wartości współdzielone na wielu poziomach.
Solution: | يمكننا ان نعنون القيمة المشاركة في مستويات متعددة | 8 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.11430123448371887,
0.41210439801216125,
-0.07625512778759003,
-0.8983597159385681,
-0.05836650729179382,
0.2870093286037445,
1.6830307245254517,
-0.5272752046585083,
0.6475329399108887,
-0.30032026767730713,
-0.5353302955627441,
-0.15785405039787292,
-0.7764551043510437,
0.5569980144500... |
Detailed Instructions: In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3,... | (3, 4) | 8 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.47151607275009155,
0.7954493761062622,
-0.26772305369377136,
-0.7465029358863831,
-0.15869316458702087,
-0.539944052696228,
0.14239802956581116,
0.442438542842865,
0.11550914496183395,
-0.33658096194267273,
0.002622624859213829,
-0.05497429147362709,
-0.15501734614372253,
0.236948654055... |
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Q: Tweet: @anonymized_account płacz dzieci i wyzywanie klubu za 3... 2... 1... , Question: Does the tweet contain cyberbullying (harmful) content?
A: | No | 4 | NIv2 | task839_cdt_classification | zs_opt | [
-1.4377565383911133,
1.2088079452514648,
0.10188956558704376,
0.8080902695655823,
-0.7150837182998657,
-0.15679806470870972,
1.1531381607055664,
-0.5089602470397949,
-0.3222668766975403,
-0.03298118710517883,
0.17176465690135956,
0.4119252562522888,
-0.8064095973968506,
-0.1440285295248031... |
Teacher:In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have... | C | 6 | NIv2 | task534_farstail_entailment | zs_opt | [
-0.1932518184185028,
0.3196899890899658,
0.2661641240119934,
-0.21325251460075378,
-0.2210986614227295,
-0.31411635875701904,
0.6692376136779785,
0.2662484347820282,
0.5240389704704285,
-0.0885852575302124,
-0.28768378496170044,
0.18792739510536194,
-0.23746943473815918,
-0.523710012435913... |
Instructions: 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".
Input: English: New South Wales, with the nation's largest indigenous ... | Yes | 3 | NIv2 | task437_alt_en_ja_answer_generation | zs_opt | [
-0.037232059985399246,
0.11617715656757355,
0.49834927916526794,
-0.3154396414756775,
0.31601303815841675,
-0.7849113941192627,
0.6781120896339417,
0.22737011313438416,
-0.3406084179878235,
0.11902312934398651,
0.4063548147678375,
0.2633594870567322,
-0.5313481688499451,
-0.076002612709999... |
In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
These chips are thick and crunchy. I absolutely love them. The taste is perfect. I like to buy these smaller bags because I cant trust myself ... | True | 0 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
0.03032234124839306,
-0.05709594488143921,
0.3151127099990845,
-0.7182877063751221,
-0.10414782166481018,
-0.2630522847175598,
0.8879232406616211,
-0.09641572833061218,
-0.5289524793624878,
-0.15204404294490814,
-0.22720760107040405,
-0.013065697625279427,
-0.6085458993911743,
-0.015396812... |
TASK DEFINITION: Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
PROBLEM: អភិបាលរដ្ឋមីននេសូតា លោកថីមផលឡេនថីបានចុះហត្ថាលេខាលើច្បាប់មួយនៅថ្ងៃព្រហស្បត៏ដែលតម្រូវអោយរដ្ឋនេះបង្កើតឲ្យបានច្រើននូវថា... | アルペンスキーで最も人気があるスイスに言及しながら、「私達、スイスが行く道は、単に山にだけではなく、海にあることを発見しました」と。
| 8 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
0.6587449312210083,
-0.037963710725307465,
-0.10191623121500015,
-0.4745514988899231,
0.25577718019485474,
-0.6895920038223267,
0.45445516705513,
0.7659639120101929,
-0.7174556255340576,
-0.04784972965717316,
-0.22353552281856537,
0.2650783658027649,
-1.0678167343139648,
0.1192656680941581... |
Detailed Instructions: In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or uniden... | Unidentifiable | 8 | NIv2 | task351_winomt_classification_gender_identifiability_anti | zs_opt | [
-1.1507247686386108,
0.7099383473396301,
-0.21973170340061188,
-0.6334484815597534,
0.12093766033649445,
-0.03123578429222107,
-0.7136887311935425,
0.9928622841835022,
0.5919978618621826,
0.09208998084068298,
-0.6392325162887573,
-0.055607058107852936,
0.0882435142993927,
-0.11089175939559... |
Detailed Instructions: In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: English: During the 2008 Republican primaries, Johnson endorsed ... | Yes | 9 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.8597514629364014,
-0.03255244717001915,
0.4137972593307495,
0.8635616302490234,
-0.2193613499403,
-0.9096347093582153,
0.5588134527206421,
0.5612856149673462,
-0.10364561527967453,
0.028350181877613068,
-0.1680924892425537,
0.37247616052627563,
0.1978648155927658,
0.18656215071678162,
... |
In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb,... | Solution: N | 5 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | fs_opt | [
0.24517551064491272,
0.6194887161254883,
-0.15776777267456055,
-0.23109686374664307,
-0.4693582057952881,
-0.35452133417129517,
0.4254589080810547,
-0.08687171339988708,
0.05755991116166115,
0.17075207829475403,
0.013655712828040123,
0.4824995994567871,
-0.3748427629470825,
0.2496573477983... |
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: ['381', '357', 'w', 'r', '115', 'z', '389', 'p', 'p', '101', '229']
A: 0, 1, 2, 3, 5, 7, 8, 9
****
Q: ['211', 'v', 'a', '445', '185', '135', '... | 1, 2, 3, 4, 5, 6, 7, 8, 9
****
| 4 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | fs_opt | [
-0.6352419853210449,
0.29817280173301697,
0.10502031445503235,
-0.11771371960639954,
-0.15014290809631348,
0.5927380323410034,
1.0396696329116821,
0.007753359619528055,
-0.6065770983695984,
0.5109664797782898,
-0.7386245131492615,
-0.12650300562381744,
-0.5034260749816895,
-0.0252749770879... |
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Q: Abstract: Pathogenesis of Alzheimer’s disease (AD), which is characterised by accumulation of extracellular deposits of β-amyloid pept... | yes
****
| 4 | NIv2 | task1587_scifact_classification | fs_opt | [
0.39374223351478577,
-0.06633444875478745,
-0.5324220657348633,
-0.2613721489906311,
0.7995157241821289,
0.02348078042268753,
0.860610842704773,
1.0309330224990845,
-0.061646949499845505,
0.31191399693489075,
-0.4420156180858612,
0.23411181569099426,
-0.6379139423370361,
0.5368636250495911... |
Instructions: In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for ... | What do we know from the conversation? (A) There will be a party (B) The woman is looking for David (C) David won't be back tonight | 3 | NIv2 | task246_dream_question_generation | zs_opt | [
0.2926281690597534,
0.4603683650493622,
-0.27785253524780273,
-0.8516119122505188,
-0.5239884853363037,
0.42362579703330994,
0.8339046835899353,
0.19255559146404266,
0.6778666973114014,
0.007714412175118923,
-0.8540537357330322,
0.11227016896009445,
-0.03048294223845005,
-0.088140264153480... |
Detailed Instructions: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements ap... | J, D, o, g, Q, Q, S, d, H, 6035, 9295, 1009, 2609, 863, 3279, 9099, 5087, 1177 | 8 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
-0.44834306836128235,
1.0649813413619995,
-0.30993586778640747,
-1.221125841140747,
0.01987643912434578,
-0.5447447299957275,
0.6305090188980103,
-0.08033651113510132,
-0.7475335597991943,
0.37807124853134155,
-0.2595202326774597,
-0.08331504464149475,
0.12647035717964172,
-0.1442115306854... |
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 statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be... | neutral | 0 | NIv2 | task1554_scitail_classification | fs_opt | [
0.5649741291999817,
0.06874267756938934,
-0.4193803668022156,
-0.3096378445625305,
-0.19926217198371887,
-0.40122169256210327,
-0.7148255109786987,
0.8829488754272461,
0.017387932166457176,
-0.18863694369792938,
-0.9054257869720459,
-0.4561522603034973,
-0.5325963497161865,
0.2054773718118... |
You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two possible outputs, i.e... | elementary
****
| 4 | NIv2 | task1712_poki_classification | fs_opt | [
-0.23948684334754944,
0.7365760803222656,
0.2772301733493805,
-0.4903244376182556,
-0.23742783069610596,
-0.7762442231178284,
-0.14156769216060638,
0.7019323110580444,
0.21508537232875824,
-0.3363737463951111,
-0.12764009833335876,
0.4065627455711365,
-0.6571953892707825,
-0.40218037366867... |
In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
[Q]: Ukuba intsontelo yentsimbi ingakhula kabukhali jikelele isiqobo, kungafuneka inyusele phakathi kancinci.
[A]: If the cable grows sharply round the ... | An anchor weighing from about one-fourth to one-third the weight of the main bowers and used when mooring in a narrow channel or harbour to prevent the vessel's stern from swinging with the current or the tide.
| 5 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | fs_opt | [
0.3944122791290283,
0.7219095826148987,
0.5993576645851135,
-0.4584052562713623,
-0.0014286357909440994,
-0.4198770821094513,
1.1873424053192139,
0.4536849856376648,
-0.1866699755191803,
-0.001956821419298649,
-0.28872382640838623,
-0.13108855485916138,
-0.8556954860687256,
-0.158027738332... |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Malayalam language. The translation must not omit or add information to the original sentence.
Problem:'മെയ്ഡ് ഇന് ഇന്ത്യ' ഉല്പന്നത്തിനായിരിക്കണം നമ്മുടെ മുന്ഗണന.
Solution: | ৩৩) আমাদের লক্ষ্য ‘মেক ইন ইন্ডিয়া’র পণ্য ব্যবহার করা। | 8 | NIv2 | task1004_pib_translation_malayalam_bengali | zs_opt | [
0.4054262340068817,
0.4994654655456543,
0.4592672288417816,
-0.13745275139808655,
-0.4431646466255188,
-0.3554452955722809,
-0.00011594616807997227,
0.17562370002269745,
-0.4016072452068329,
0.302841454744339,
-0.8442045450210571,
-0.4934271574020386,
-0.1373329609632492,
-0.01225981954485... |
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'.
Example input: Dialogue 1: 'when did i called u ugly pony when did you ever call fuck u ur rlly a m... | no | 3 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.7074798345565796,
0.29113537073135376,
0.3635079264640808,
-0.5327872037887573,
-0.5082434415817261,
0.5768422484397888,
0.6822030544281006,
-0.3687194585800171,
-0.1251922994852066,
-0.3158904016017914,
0.06050916761159897,
-0.10593333840370178,
-0.2922843396663666,
0.16480354964733124... |
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 Portuguese. Your job is to translate the Portuguese sentence into Japanese.
A ideia é muito, muito simples.
Solution: このアイデアはとてもシンプルで
Why? The Portugese sentence is corre... | 確認しますが英語学習ではありません | 0 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
-0.538524866104126,
0.5765976905822754,
0.29923200607299805,
-0.8450950384140015,
-0.3758549094200134,
-0.7655540704727173,
1.0404698848724365,
-0.05629720538854599,
0.27426236867904663,
-0.7787303924560547,
-0.4574853181838989,
-0.2872501015663147,
-0.25696036219596863,
0.291533887386322,... |
In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
--------
Question: Context: The Bastille was a fortress in Paris, known formally as the Bastille S... | tecmo
| 7 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.9573384523391724,
0.7983959913253784,
-0.3729614019393921,
0.13490992784500122,
0.41885116696357727,
-0.2474713921546936,
0.8668516874313354,
1.281194806098938,
-0.25709396600723267,
0.4649694561958313,
-0.36312463879585266,
0.18699747323989868,
-0.2649316191673279,
0.16632747650146484,
... |
You will be given a definition of a task first, then some input of the task.
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
What is the best platform for online cosmetology continuing education?
Output: | What is the best resource for online continuing education? | 1 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-0.43327969312667847,
1.1251888275146484,
-0.024863410741090775,
-0.7976061105728149,
-0.5411536693572998,
0.08838509023189545,
-0.03801334276795387,
0.33876854181289673,
0.22458738088607788,
0.7350069880485535,
0.0790993720293045,
0.07856863737106323,
0.09507212042808533,
0.10511870682239... |
You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea th... | stereotype | 3 | NIv2 | task320_stereoset_classification_race | fs_opt | [
-0.009770520031452179,
0.33814167976379395,
0.2968525290489197,
0.17282100021839142,
0.051986053586006165,
-0.43881678581237793,
0.28817427158355713,
0.8960523009300232,
0.3670468032360077,
-0.09304643422365189,
-0.5965339541435242,
0.17796272039413452,
-0.660932183265686,
-0.2595247030258... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Example: 地球が今よりも無垢だった時代を訪れたかのようでした
Example solution: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
Example explanation: The Japanese sentence is correctly translated into Arabic, because the meaning is preserved.
Prob... | Solution: ومن هذا إستوحيت فكرة بناء هذا الرجل الآلي حيث يمكنه تسلق بيئة المنحدرات | 5 | NIv2 | task1224_ted_translation_ja_ar | fs_opt | [
-0.13508880138397217,
0.6359391212463379,
-0.13028046488761902,
-0.2325887680053711,
-0.4121983051300049,
-0.5138242244720459,
0.8731871247291565,
-0.3936789333820343,
-0.21930339932441711,
0.05577120929956436,
-1.0443904399871826,
0.4294837415218353,
-0.7959559559822083,
0.397051185369491... |
In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
--------
Question: Question: To measure the pulmonary wedge pressure (PEP) by means of a pulmonary a... | biology
| 7 | NIv2 | task1434_head_qa_classification | fs_opt | [
0.5135795474052429,
0.026001861318945885,
-0.12404483556747437,
0.029188048094511032,
0.4940847158432007,
-0.3859635889530182,
0.570550262928009,
0.5507296323776245,
0.0016280185664072633,
0.10632534325122833,
-0.4162234961986542,
0.17595553398132324,
-0.24961191415786743,
-0.0285972971469... |
Q: A text is given in English. Translate it from the English language to the Telugu language. The translation must not omit or add information to the original sentence.
We must move forward with the belief that in the next five years we have to do more than four times the work that has been done in the last 70 years fo... | నీటి వనరుల సంరక్షణ, నీటి వనరుల పునరుద్ధరణ పై గత 70 సంవత్సరాల కాలం లో జరిగిన ప్రయత్నాలకు నాలుగు రెట్లు అధిక కృషి, వచ్చే అయిదేళ్ళ కాలం లో చేయాల్సి ఉంటుందన్న నమ్మకం తో ముందుకు సాగాలి. | 7 | NIv2 | task1047_pib_translation_english_telugu | zs_opt | [
-0.21783359348773956,
1.3389097452163696,
0.27644503116607666,
0.570480465888977,
0.19545519351959229,
-1.7344579696655273,
0.21694594621658325,
0.5321006774902344,
-0.14877356588840485,
-0.18060865998268127,
0.2240920215845108,
0.1348712146282196,
-0.9984821677207947,
0.43076446652412415,... |
Given the task definition and input, reply with output. In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Class... | B | 5 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
0.049883462488651276,
0.15368366241455078,
0.26682642102241516,
-0.015186749398708344,
-0.36466389894485474,
0.014159811660647392,
0.024348057806491852,
-0.04445561021566391,
0.2790886163711548,
0.18995004892349243,
-0.38106709718704224,
0.15301033854484558,
0.08476846665143967,
-0.2584657... |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
[EX Q]: [-2... | [78, -100, 98, -20]
| 6 | NIv2 | task369_synthetic_remove_odds | fs_opt | [
-0.6635699272155762,
0.561840295791626,
-0.052478060126304626,
-0.4893132150173187,
-0.2971833348274231,
-0.1472364366054535,
0.8958523273468018,
0.26196593046188354,
-0.1541471779346466,
0.4597056806087494,
-1.0179513692855835,
0.002582269487902522,
-0.2618497610092163,
-0.493472456932067... |
In this task, you are given a premise sentence. Your task is to write a new sentence by substituting the subject and object (i.e., the input's subject should be output's object and vice versa.). The generated sentence must be fluent and shouldn't change the voice (i.e., passive or active) of the input.
One example is b... | The bankers admired the judge . | 9 | NIv2 | task1364_hans_answer_generation | fs_opt | [
-0.3573516309261322,
0.4993073344230652,
0.0975956991314888,
-0.02225770801305771,
-0.013635349459946156,
-0.5266198515892029,
0.41416263580322266,
0.19981695711612701,
0.6560236215591431,
-0.846376895904541,
-1.2758114337921143,
-0.40392714738845825,
-0.12436901032924652,
0.08434578776359... |
Detailed Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of... | No | 9 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.4859604239463806,
0.5086156129837036,
0.38272494077682495,
-0.2802501320838928,
-0.41590145230293274,
-1.0697767734527588,
1.1793529987335205,
0.34677842259407043,
-0.3851575255393982,
-0.25888657569885254,
-0.06468355655670166,
-0.06723874062299728,
-0.6821146607398987,
0.30284821987152... |
A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
One example: પ્રધાનમંત્રી આવાસ યોજના હેઠળ સરકાર ગ્રામ્ય વિસ્તારોમાં આશરે 3 કરોડ આવાસ અને શહેરી વિસ્તારોમાં 1 કરોડ આવાસના બાંધકામનું આયોજન કરી રહી છે
Solu... | அவர்கள் தங்களது உடன் பிறந்தவர்களுக்காக கோடிக் கணக்கில் சொத்து சேர்க்கப் போகிறார்கள். | 6 | NIv2 | task1063_pib_translation_gujarati_tamil | fs_opt | [
-0.09120149165391922,
0.4613279402256012,
-0.11238030344247818,
-0.49461114406585693,
0.394209623336792,
-0.21518565714359283,
0.6344434022903442,
0.5424004793167114,
-1.0190298557281494,
0.11866992712020874,
-1.2098703384399414,
0.43628233671188354,
-1.1802711486816406,
-0.252901315689086... |
Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | 如果你想要钻洞 那你应该用刀子
| 1 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
-0.16548019647598267,
0.32143133878707886,
-0.32377731800079346,
-0.09823298454284668,
-0.17094415426254272,
-0.3885127902030945,
-0.20309460163116455,
0.6808991432189941,
-0.27651527523994446,
0.3122038245201111,
-0.6232789158821106,
-0.2605220079421997,
-0.15880922973155975,
-0.189142808... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 4 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.5013875365257263,
0.4512179493904114,
0.2965458631515503,
-0.3619175851345062,
-0.6195136308670044,
-0.8223991394042969,
1.4417445659637451,
0.4611359238624573,
-0.27003008127212524,
-0.31811386346817017,
-0.7205288410186768,
-0.3792036771774292,
-0.6825687289237976,
0.04038529098033905,... |
Definition: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Input: Fin'ora ha voluto dire licenziamenti, aumento della dimensione delle classi.
Output: | Hasta el momento ha significado despidos y aumento del tamaño de las clases. | 2 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-1.1838421821594238,
0.6043384075164795,
0.19004100561141968,
-0.3456336259841919,
-0.5225353240966797,
0.3182821273803711,
-0.9616994261741638,
1.6740267276763916,
0.05142918974161148,
-0.019225897267460823,
-0.15696637332439423,
0.5466420650482178,
-0.9885179996490479,
-0.004978539887815... |
Definition: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to p... | More than 500 homes have been damaged by flood waters. | 2 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
0.07858621329069138,
0.6993011236190796,
-0.5183279514312744,
-0.28841039538383484,
-0.2595065236091614,
-1.0833053588867188,
-0.2154250144958496,
0.7168344855308533,
-0.3903307020664215,
-0.15069429576396942,
-1.1498662233352661,
0.8952082395553589,
-0.718119740486145,
0.11299260705709457... |
Teacher:Indicate the presence of numerical data in the abstract (whether numerical data plays a key role in medical records), solely using the information from the abstract.
Teacher: Now, understand the problem? Solve this instance: Abstract: Traditional therapy for malignant pleural effusions includes thoracentesis or... | Yes | 6 | NIv2 | task621_ohsumed_yes_no_numerical_answer_generation | zs_opt | [
-0.1542750597000122,
0.25128287076950073,
-0.45052146911621094,
-0.008936604484915733,
0.05779748409986496,
-0.7111105918884277,
0.5994349122047424,
0.7435274720191956,
0.8880903124809265,
0.6147611141204834,
-0.3231915533542633,
0.7034713625907898,
-0.6708594560623169,
0.1674109399318695,... |
Detailed Instructions: In this task, you're given a passage, 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 passage and link info... | Who found the party that Gibson supported after Winfield Scott's defeat in the Presidential election? | 8 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
-0.0043965838849544525,
-0.4120749235153198,
-0.0609595887362957,
0.8403729796409607,
-0.014159277081489563,
-1.1302274465560913,
0.713194727897644,
1.179081678390503,
-0.08985549956560135,
0.31980225443840027,
-0.5648529529571533,
-0.12098422646522522,
-0.2544870972633362,
0.1602071076631... |
TASK DEFINITION: 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 write the character's motivation by doing a specific job, which is given i... | to be friendly
| 8 | NIv2 | task294_storycommonsense_motiv_text_generation | fs_opt | [
0.021033111959695816,
0.2185026854276657,
-0.34177255630493164,
-0.6641061902046204,
0.3880740702152252,
-0.0274488627910614,
0.9520174264907837,
0.8791459798812866,
-0.5329809188842773,
0.3406103253364563,
0.26732516288757324,
-0.5172961950302124,
-0.7753675580024719,
-0.02966086752712726... |
Q: In this task, you are given a conversation, and your task is to generate a summary from the information present in the given conversation. Generate a summary in such a way that the context should be present in the conversation. It should cover the complete context of the conversation.
Karen: I know a cool game. Wo... | Karen suggests to Avi that they play a story-telling game and they make up they story. | 7 | NIv2 | task1572_samsum_summary | zs_opt | [
0.1967400759458542,
0.14234387874603271,
-0.7791063785552979,
0.164293110370636,
0.502266526222229,
-0.2317160815000534,
0.866997241973877,
0.4157589375972748,
-0.19744572043418884,
0.06240992993116379,
-0.37480035424232483,
0.10934574902057648,
-0.7368469834327698,
0.021035682410001755,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Example: Sentence: 'the street light is green in the city'. How many words end with the letter 't' in the sent... | 3 | 1 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.36934179067611694,
0.5660276412963867,
-0.3871158957481384,
-0.3930127024650574,
0.4343971014022827,
0.20795613527297974,
-0.1526494175195694,
0.7481337785720825,
0.21955223381519318,
-0.2136896848678589,
0.022934259846806526,
0.28698107600212097,
0.14660906791687012,
-0.342909574508667... |
You are provided with an arithmetic question. Your task is to compute the solution using the given arithmetic operations. The only arithmetic operators needed to answer the questions are'+'(addition) and'-'(subtraction). The answer should be correct to one decimal place.
--------
Question: Irene just bought a new lamp ... | 5.0
| 7 | NIv2 | task745_ai2_arithmetic_questions_arithmetic | fs_opt | [
0.2559622526168823,
0.7593002319335938,
-1.0277912616729736,
-0.24242854118347168,
-0.4918307662010193,
-0.03344211354851723,
0.7686384916305542,
0.6948526501655579,
0.1890287548303604,
-0.288300096988678,
-0.543047308921814,
-0.07806436717510223,
-1.0174496173858643,
0.4551836848258972,
... |
Given the task definition, example input & output, solve the new input case.
You are given an elementary science question along with a few answer options. List all the words from the question that are essential and sufficient for choosing the correct answer option. Keep in mind that essential words are necessary to und... | fork, force, moves, fork, floor? | 1 | NIv2 | task044_essential_terms_identifying_essential_words | fs_opt | [
0.7296281456947327,
0.6340079307556152,
-0.43665048480033875,
0.12383443117141724,
0.02246047556400299,
-0.8673968315124512,
1.6121445894241333,
0.522926390171051,
0.04742716997861862,
-0.49069729447364807,
-0.43277686834335327,
0.6036054491996765,
-0.24456244707107544,
-0.2357700318098068... |
Definition: Your task is to localize given English phrase into Telugu language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial... | సాధారణ కీబోర్డ్- మాత్రమే విండో నిర్వాహకి తెర తర్వాత రూపొందించబడింది | 2 | NIv2 | task878_kde4_translation | zs_opt | [
-0.8394082188606262,
0.539470374584198,
0.39572930335998535,
0.10910248756408691,
0.3287751078605652,
-0.2026791274547577,
0.33520641922950745,
-0.19266414642333984,
0.19896234571933746,
-0.3428453803062439,
-0.2692817151546478,
0.11172880232334137,
-0.4333733916282654,
0.6341409683227539,... |
Detailed Instructions: 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.
Problem:Comment: The headl... | Non-threat | 8 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.392267107963562,
0.487033873796463,
0.4913078844547272,
-0.7775893211364746,
-0.2535313367843628,
-0.6964572668075562,
0.7739609479904175,
1.1597038507461548,
-0.0443754643201828,
0.5805593729019165,
0.06977576017379761,
0.05188872665166855,
-0.21403513848781586,
-0.6518687009811401,
... |
In medical studies, treatments are tested within a group of study participants. To determine if a new treatment works, various outcomes are measured in the people who take part in the study. You will be given a sentence of a study report in which your task is to list the phrases that give information about the outcomes... | Solution: plasma 6-keto-prostaglandin F1 alpha concentration, serum HDL2 cholesterol concentration | 5 | NIv2 | task181_outcome_extraction | fs_opt | [
0.486732542514801,
0.2479335516691208,
-1.2015209197998047,
-0.5834329128265381,
-0.02897149883210659,
-0.726726770401001,
-0.0542636439204216,
1.2363598346710205,
-0.17621329426765442,
0.47266510128974915,
-1.1056244373321533,
0.47475799918174744,
-0.1892317235469818,
-0.1579257696866989,... |
Given the task definition and input, reply with output. Given an object and a part, decide whether the object has that part. For example is you are asked 'gun has barrel', you need to decide if a gun has a barrel as one of its components or parts. All sentences strictly follow the template 'object has part?.' The answe... | 0 | 5 | NIv2 | task1584_evalution_meronym_classification | zs_opt | [
-0.37063562870025635,
0.668073832988739,
-0.32984423637390137,
0.5977385640144348,
-0.2282618284225464,
-0.6627099514007568,
1.0506850481033325,
0.18917205929756165,
-0.07321847975254059,
-0.5249847173690796,
-0.7408427000045776,
0.3574918508529663,
-0.6533077955245972,
0.3627934455871582,... |
Detailed Instructions: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements ap... | v, w, m, g, B, j, H, 2093, 5193, 9805 | 9 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
0.13590051233768463,
0.07601529359817505,
0.12313217669725418,
-0.69431072473526,
0.4980323314666748,
-0.20377855002880096,
0.0969390794634819,
0.22665129601955414,
-0.4796598553657532,
0.5693895220756531,
-0.4581569731235504,
-0.1372292935848236,
0.46624159812927246,
0.01439930684864521,
... |
Part 1. Definition
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Part 2. Example
2, 3, ['a', '34', 'f', '931', ... | 8935, 125, g | 7 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
0.2241959273815155,
0.0434378944337368,
-0.7035747766494751,
-0.6993650794029236,
-0.44177162647247314,
0.05448354035615921,
0.7206538319587708,
-0.05875902622938156,
-0.15911541879177094,
-0.12187289446592331,
-0.7122856974601746,
-0.025616509839892387,
-0.12375281006097794,
0.19809997081... |
Given the task definition, example input & output, solve the new input case.
This task is about translating a given English language sentence to Yoruba language.
Example: While you should not share legal advice to others based on course content, you will develop a high level of expertise upon completion of this course.... | A kì í fi ojúbọ́rọ́ gba ọmọ lọ́wọ́ èkùrọ́. | 1 | NIv2 | task1685_menyo20k_translation | fs_opt | [
-0.1822582632303238,
0.39628130197525024,
0.17808584868907928,
-0.018942153081297874,
-0.10020782798528671,
-0.06532178819179535,
0.10219932347536087,
1.0154081583023071,
0.38828617334365845,
-0.4121418297290802,
0.09979144483804703,
0.5756973028182983,
-0.8074800372123718,
0.2123034298419... |
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 | 9 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.4020129442214966,
0.4960123300552368,
0.5188211798667908,
-0.13110695779323578,
-0.6301888227462769,
-0.9551631808280945,
0.8104563355445862,
0.5427221059799194,
-0.6061844229698181,
-0.2976776361465454,
-0.4968579113483429,
-0.5691957473754883,
-0.714751660823822,
-0.1797339916229248,
... |
Teacher:In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Teacher: Now, understand the problem? Solve this instance: Passage: Once Upon a Time (season 6) -- The sixth seaso... | 0 | 6 | NIv2 | task1661_super_glue_classification | zs_opt | [
0.374808669090271,
0.5457230806350708,
0.4268217086791992,
-0.6408299803733826,
0.23616649210453033,
-0.9268796443939209,
0.3346344232559204,
0.560478150844574,
-0.38376256823539734,
-0.03077918477356434,
0.23319673538208008,
0.5288612842559814,
-0.991817057132721,
-0.22283810377120972,
... |
Detailed Instructions: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Q: Context: We ... | where is tour de france going? | 9 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-0.7135977745056152,
0.6667575836181641,
0.09308472275733948,
0.28674232959747314,
0.025727085769176483,
-1.1180458068847656,
-0.3000745177268982,
0.09732264280319214,
0.3943476378917694,
0.04160159081220627,
-0.3080459237098694,
1.1350724697113037,
-0.34819164872169495,
0.2302136421203613... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
در مرکز زیست شناسی و زيست محيط حفاظت شده ، ما مطالعه ای را در یک بیمارستان انجام دادیم در آن بيمارستان ما از هوا نمونه بردراي كرده و دي ان اي ميكروبهاي موجود در ... | No Biology and Built Environment Center, levamos a cabo un estudio nun hospital onde tomamos mostras do aire e extraemos ADN de microbios do aire. | 5 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-1.0211745500564575,
0.831252932548523,
-0.5222418904304504,
-0.6964783668518066,
-0.7764453291893005,
-0.7679203748703003,
0.21015489101409912,
0.11022085696458817,
-0.10786356031894684,
0.1348678171634674,
-0.8598664999008179,
0.46245312690734863,
-0.7871071100234985,
0.4271888732910156,... |
In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
Let me give you an example: Question: A 13-year-old girl is operated on due to Hirschsprung illness at 3 months of age. Which of the following tu... | 4 | 8 | NIv2 | task1431_head_qa_answer_generation | fs_opt | [
0.5387429594993591,
0.40266966819763184,
-0.061933018267154694,
0.10985498130321503,
-0.008986528031527996,
-0.06987318396568298,
0.4459788501262665,
1.0425790548324585,
-0.03576067090034485,
0.35499200224876404,
-0.012837966904044151,
-0.008724246174097061,
-0.6317920684814453,
-0.1323971... |
TASK DEFINITION: In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
PROBLEM: A group that wants lower immigration has forecast if Britain v... | Covid: Call for all homes in Wales to be minutes from green space
| 8 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
-0.5085577964782715,
1.0997419357299805,
-0.2158217430114746,
0.1806468367576599,
-0.3793473541736603,
-0.4372217655181885,
0.360427588224411,
0.2015017867088318,
-0.04113952815532684,
0.3789244592189789,
-0.31513530015945435,
1.022721290588379,
-0.8382163047790527,
-0.24782581627368927,
... |
You will be given a definition of a task first, then some input of the task.
Given a scientific passage and an answer, generate a question for the given answer.
Passage: Tubeworms deep in the Galapagos Rift get their energy from chemosynthetic bacteria. Tubeworms have no mouth, eyes, or stomach. Their survival depends... | Tubeworms deep in the galapagos rift get their energy from what type of bacteria? | 1 | NIv2 | task594_sciq_question_generation | zs_opt | [
-0.17946478724479675,
0.7950940132141113,
-0.16254425048828125,
-0.26528459787368774,
0.6453781127929688,
-1.3806254863739014,
-0.1268906444311142,
0.1196201890707016,
0.08309787511825562,
-0.3782398998737335,
0.1067419946193695,
-0.2617195248603821,
-0.911311149597168,
-0.6451561450958252... |
Teacher: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 the associated fact has been rearranged to form the question. So, th... | skidding. | 6 | NIv2 | task041_qasc_answer_generation | zs_opt | [
0.10620797425508499,
0.4968447983264923,
-0.02398628368973732,
-0.0883931815624237,
-0.382897287607193,
-1.2760975360870361,
0.14700642228126526,
0.4684315323829651,
-0.6907483339309692,
-0.5771733522415161,
-0.34059736132621765,
0.2981606423854828,
-0.4451727271080017,
-0.3422294855117798... |
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