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 |
|---|---|---|---|---|---|---|
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.
Let me give you an example: 7
The answer to this example can be: Yes
Here is why: 7 is a prime number as it has no fa... | No | 8 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.3203604221343994,
1.258180856704712,
0.08733732998371124,
0.1422835886478424,
-0.12035350501537323,
-0.5264824628829956,
0.7784793376922607,
0.9357339143753052,
0.4727171063423157,
-0.3147071599960327,
-0.45569878816604614,
0.0755830854177475,
-0.5989818572998047,
-0.008581162430346012,... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Sentence: 'a countertop holding a chicken and a bundt cake'. How many words start with the letter 'a' in th... | 4 | 1 | NIv2 | task162_count_words_starting_with_letter | zs_opt | [
0.14707404375076294,
0.6659260988235474,
-0.23301929235458374,
-0.7058157324790955,
-0.4991862177848816,
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0.2847268581390381,
0.433000773191452,
0.4453577995300293,
-1.0295968055725098,
-0.05520205199718475,
-0.20701105892658234,
-0.3208935260772705,
0.16908103227615356... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the q... | remained | 0 | NIv2 | task390_torque_text_span_selection | fs_opt | [
0.5532146692276001,
0.273958683013916,
0.11989711225032806,
-0.16042503714561462,
-0.07293373346328735,
-0.12391985952854156,
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-0.14043587446212769,
0.043820787221193314,
-0.45080405473709106,
0.22250618040561676,
... |
Given the task definition and input, reply with output. In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) a... | aggregation | 5 | NIv2 | task212_logic2text_classification | zs_opt | [
-0.02768414467573166,
-0.30772829055786133,
-0.14506205916404724,
0.3342053294181824,
0.48613274097442627,
-0.3855985999107361,
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-0.10475419461727142,
-0.20093488693237305,
0.20054902136325836,
-0.012346196919679642,
0.5196730494499... |
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".
[EX Q]: Article: zimbabwe 's leaders signed a historic deal on monday that will see president robert mugabe share power with his b... | yes
| 6 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.3470245897769928,
-0.15706372261047363,
-0.36396345496177673,
0.3254822790622711,
-0.19458888471126556,
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-0.2501705288887024,
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-0.3541967272758484,
0.2517590820789337,
-0.3774542808532715,
-0.126962006092071... |
Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, G... | Personal | 8 | NIv2 | task1494_bengali_hate_speech_classification | zs_opt | [
-0.472780704498291,
0.6387895345687866,
0.09192349016666412,
0.37907207012176514,
-0.5990742444992065,
-0.43999814987182617,
0.6605803966522217,
-0.10177084803581238,
-0.41596776247024536,
-0.28031331300735474,
-0.5651707053184509,
0.19491055607795715,
0.08489513397216797,
-0.6980587244033... |
Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
Ex Input:
news:The Company serves approximately 3,000 customers in over 100 countries .
polarity:neutral
Ex Output:
true
Ex ... | true
| 1 | NIv2 | task844_financial_phrasebank_classification | fs_opt | [
-0.4256138503551483,
0.33942222595214844,
-0.6200059652328491,
0.1984180361032486,
-0.4957371652126312,
-0.0608544647693634,
0.8134335279464722,
0.023845180869102478,
-0.27736735343933105,
0.1172264814376831,
0.0510089136660099,
0.00810784287750721,
0.016179576516151428,
0.2538701891899109... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
One examp... | Non-identity-attack | 6 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.2973310053348541,
0.26898324489593506,
0.6948682069778442,
0.6152960062026978,
0.053485751152038574,
-0.1318071484565735,
0.8506544828414917,
-0.01896560564637184,
0.3933488130569458,
0.5244795083999634,
0.058985501527786255,
-0.39498794078826904,
-0.5745234489440918,
-0.935681462287902... |
This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Let me give you an example: De Britse premier David Camer... | Os países da UE têm duas opções: ou podem fazer uma vã tentativa de voltar aos ultrapassados modelos monoétnicos de estado, ou podem aceitar a diversidade com a compreensão de que as suas culturas nacionais não apenas irão sobreviver, mas florescer. | 8 | NIv2 | task1375_newscomm_translation | fs_opt | [
-0.5300617814064026,
0.7507097125053406,
0.20189589262008667,
0.005154847167432308,
-0.23863905668258667,
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-0.2914963662624359,
0.9397528171539307,
0.40168496966362,
0.004053072538226843,
-0.32805144786834717,
0.7858474850654602,
-0.7201030254364014,
-0.0466296449303627... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Ex Input:
Tagalog sentence: Kung ang mga ito ay katunayan na sila lalabas namin maaaring sabihin na may katiyakan na Hipparchus ay sa Alexandria sa 146 BC at sa Rhodes malapit sa katapu... | 8And the LORD said unto me, Amos, what seest thou? And I said, A plumbline.
| 1 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
0.5530431270599365,
0.08374330401420593,
0.05133267492055893,
-0.21271666884422302,
0.22243419289588928,
-0.5622515678405762,
0.18406268954277039,
0.5416206121444702,
0.04485711082816124,
-0.0215558260679245,
-0.20791089534759521,
0.018339449539780617,
-0.336238294839859,
-0.21541750431060... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
Example Input: ומסתבר שהתשובה היא שבגלל שהמח שלהם ארוז בתוך הגלגולת שלהם בדרך שונה מזו שהמוחות שלנו, כלומר אנחנו בני האדם, באמת, שהמוחות שלנו ארוזים.
Example Output: E resulta que a resposta é que os seus cerebros están col... | Tiña que facelo ben.
| 3 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.9675170183181763,
0.5213214159011841,
0.4847991168498993,
-0.4517934322357178,
-0.46079206466674805,
-1.2365306615829468,
0.8350305557250977,
0.25399309396743774,
0.13071173429489136,
-0.40436503291130066,
-0.7034592628479004,
0.30085060000419617,
-0.7624993324279785,
0.4251440167427063... |
instruction:
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
question:
Gujarati: જેટ એરલાઇનર એક એરપોર્ટ પર ડામર કપાળ પર બેસે છે.
Englis... | Yes
| 9 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt | [
-0.478922039270401,
0.2105497419834137,
-0.17818377912044525,
0.10504142940044403,
0.42923372983932495,
-0.7200852632522583,
0.12225178629159927,
0.5557318925857544,
0.06780114769935608,
0.18170946836471558,
0.16744345426559448,
0.6394005417823792,
-0.5712465643882751,
0.06069238483905792,... |
Q: 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).
Context: Unix (trademarked as UNIX) is a family of multitasking, multiuser computer operating s... | apache software foundation | 7 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.15318843722343445,
0.18998850882053375,
-0.06100402772426605,
0.4453490376472473,
0.28769779205322266,
-0.6860818266868591,
0.9506136775016785,
0.9558577537536621,
-0.2812846899032593,
0.6972676515579224,
0.24627025425434113,
0.5525842905044556,
-0.5129718780517578,
0.3615017831325531,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a text and a pronoun. You should write the name that the pronoun refers to. Position of the pronoun in the text is showed within two "_"s.
During the next two years she was in the chorus of the Vari*t*... | Delysia | 1 | NIv2 | task330_gap_answer_generation | zs_opt | [
0.35637450218200684,
0.7551857233047485,
-0.21805594861507416,
0.09945563226938248,
0.09673795104026794,
-0.3507506847381592,
0.7008109092712402,
0.03896760195493698,
0.24507078528404236,
0.32471027970314026,
-0.20117956399917603,
0.06319919228553772,
-0.3182171583175659,
-0.07618591934442... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Input: Comment: what are you talking about
Trumps extreme vetting would haev picked... | Insult | 2 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
-0.6399179697036743,
0.6359503269195557,
0.6397868394851685,
0.757219672203064,
-0.17537641525268555,
-0.21877005696296692,
0.6771910190582275,
0.6840925812721252,
0.5397055149078369,
0.2043340504169464,
-0.020694244652986526,
0.02152790129184723,
-0.49111777544021606,
-0.6480011343955994,... |
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.
One example is below.
Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.... | true | 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-1.2905675172805786,
0.746729850769043,
0.5812007188796997,
0.13370102643966675,
-0.7596373558044434,
-0.7796008586883545,
0.2850380837917328,
0.5212489366531372,
0.2825842499732971,
0.1897926926612854,
-0.30469876527786255,
-0.1606752574443817,
-0.7166668176651001,
-0.3769409656524658,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
[EX Q]: אבל אנחנו פשוט חרשים לערך הזה.
[EX A]: Pero nosotros seríamos literalmente sordos a tal tipo de valor.
[EX Q]: מוטורולה מייצרת את הטלפון הנפוץ ביותר, ואתם יכולים לראות שהם בשימוש השרות החשאי, בלחימה, זה תקן מאוד מאו... | Regresemos 200 años atrás cuando el comercio de la esclavitud estaba bajo presión de William Wilberforce y todos los manifestantes,
| 6 | NIv2 | task1236_ted_translation_he_es | fs_opt | [
-0.7883129119873047,
0.8976885080337524,
-0.07612504065036774,
-0.390830397605896,
-0.22264941036701202,
-0.5320137739181519,
0.13383354246616364,
0.24620330333709717,
0.7922253608703613,
-0.4279472827911377,
-0.9498586058616638,
0.565308153629303,
-0.178165003657341,
-0.24222952127456665,... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Example: We notice a man in a kayak and a yellow helmet coming in from the left. As he approaches, his kayak
Example solution: flips upside - down
Example explanation: Flipping of th... | Solution: presents various tools and begins taking off the tire off of the car. | 5 | NIv2 | task453_swag_answer_generation | fs_opt | [
-0.2498234063386917,
0.2782525420188904,
-0.335947722196579,
-0.23674258589744568,
-0.2499333918094635,
-0.1433826982975006,
-0.1256123185157776,
0.6914867162704468,
0.2807786464691162,
0.18047133088111877,
0.0028870729729533195,
0.0234384723007679,
-0.41081535816192627,
0.3584381937980652... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Q: Context: Robin ... | A | 4 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
0.030753325670957565,
0.8510048985481262,
0.603644609451294,
-0.41234707832336426,
-0.22936467826366425,
-0.21952733397483826,
0.7151694297790527,
0.4325113296508789,
0.21198327839374542,
-0.13678070902824402,
-0.7307007908821106,
0.025219805538654327,
0.13092024624347687,
-0.2623677551746... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Input: De xeito que os monos quedaron eivados, xa non eran quen de mover a man.
Output: | So the monkeys were plegic, they could not move their hand anymore. | 2 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
0.689635157585144,
0.8085052371025085,
-0.2619771659374237,
-0.9500986337661743,
-0.2289935201406479,
-1.6066584587097168,
0.034211236983537674,
1.0447494983673096,
-0.5460402965545654,
0.015205837786197662,
-0.6303281784057617,
-0.0012483116006478667,
-1.0977287292480469,
0.31510162353515... |
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 return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be... | 32384
| 7 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
-0.054382748901844025,
0.0236353762447834,
-0.6099085807800293,
-0.4124101400375366,
-0.31732726097106934,
-0.35084372758865356,
0.9988815784454346,
0.3286179304122925,
-0.4931202232837677,
-0.010541098192334175,
-0.9500717520713806,
0.5534362196922302,
-0.21142911911010742,
0.250295996665... |
TASK DEFINITION: In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
PROBLEM: Article: When Juliet was a child, she often went to the city park and played with her friends. On a sunny morning, when Juliet came to the park with her mum, sh... | How did the scientists conduct the experiment?
| 8 | NIv2 | task311_race_question_generation | fs_opt | [
0.25761163234710693,
-0.09753109514713287,
-0.6088637113571167,
-0.7432848215103149,
0.1707097291946411,
-0.2466931939125061,
0.45958569645881653,
0.279392808675766,
-0.4904155135154724,
0.09119105339050293,
0.22686806321144104,
0.4459978938102722,
-0.6716391444206238,
0.2281131148338318,
... |
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Adolfo_Suárez_Madrid–Barajas_Airport | location | Paracuellos_de_Jarama
... | Adolfo Suarez Madrid-Barejas airport is located at Paracuellos de Jarama at an elevation of 610.0 metres above sea level. | 0 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
-0.660660982131958,
0.7962748408317566,
-0.5621814727783203,
-1.0339844226837158,
-0.1652469038963318,
0.34270039200782776,
1.0825395584106445,
0.08877001702785492,
-0.41654032468795776,
-0.26818719506263733,
-0.8327491283416748,
0.15330827236175537,
-0.4732869267463684,
-0.037704423069953... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be given a 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 ("... | [-20] | 0 | NIv2 | task369_synthetic_remove_odds | fs_opt | [
-0.526781439781189,
0.6838172674179077,
-0.3023964464664459,
-0.5194419622421265,
0.08989966660737991,
-0.02169205993413925,
0.757644772529602,
0.5463629961013794,
0.2746385335922241,
0.3818197548389435,
-0.6224719882011414,
-0.8464245200157166,
-0.08212599158287048,
-0.06835391372442245,
... |
Detailed Instructions: Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
See one example below:
Problem: news:According to Gran , the company has no plans to move all production ... | true | 4 | NIv2 | task844_financial_phrasebank_classification | fs_opt | [
-0.4215245842933655,
0.26339423656463623,
-0.30195412039756775,
0.5818744897842407,
-0.3417886197566986,
-0.653136134147644,
0.16303925216197968,
0.9814502596855164,
0.3612715005874634,
0.0009785639122128487,
-0.26749080419540405,
0.15113312005996704,
-0.05019573122262955,
-0.2883833348751... |
Teacher: A text is given in Bengali. Translate it from the Bengali language to the English 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:
দরিদ্র, প্রান্তিক এবং দেশের পল্লী অঞ্চলের সেবায় তিন... | Technology is also important, but Google can never replace Guru, he added. | 2 | NIv2 | task995_pib_translation_bengali_english | fs_opt | [
-1.0026918649673462,
0.08719176054000854,
0.6858237385749817,
-0.909453809261322,
0.36042529344558716,
-0.9357255697250366,
0.37901124358177185,
0.24722832441329956,
-0.48084962368011475,
0.330093115568161,
-0.39885491132736206,
0.21513420343399048,
-0.6045241355895996,
-0.3779594898223877... |
Teacher:Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media... | film | 6 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
0.3519349694252014,
0.14647124707698822,
-0.14596503973007202,
-0.6546726226806641,
0.7666246891021729,
-0.2742193937301636,
0.5210004448890686,
0.35385245084762573,
-0.3421505093574524,
-0.30077415704727173,
-0.1801682412624359,
-0.0595167875289917,
-0.5182583332061768,
-0.216988205909729... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Imagínense unos sensores en la mano que tocan y presionan sobre la nueva piel.
A: | تخيلوا لو أن هناك حساسات صناعية في اليد تنقل الإشارة إلى الصدر وتضغط حيث تلك الماسحات العصبية. | 7 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
-0.8562040328979492,
0.8683394193649292,
-0.2446150928735733,
-1.1272059679031372,
-0.3248143196105957,
-0.39507895708084106,
0.6862231492996216,
0.7341482639312744,
0.8189826011657715,
0.24062204360961914,
-0.07353699207305908,
0.6378490924835205,
-0.5027140378952026,
0.2402215451002121,
... |
Detailed Instructions: 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... | look right twice and jump | 9 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.07494582235813141,
1.154740810394287,
-0.33846428990364075,
-0.227563738822937,
-0.07473385334014893,
0.5644294023513794,
0.1235579177737236,
0.5742526054382324,
-0.440099835395813,
-0.4246785044670105,
-0.7596803903579712,
-0.11048319935798645,
-0.7514667510986328,
0.12555468082427979,
... |
Detailed Instructions: 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.
See one example below:
Problem: ['238', 'h', '92', 'U', '2799']
Solution: 3129
Explanation: Here, the numbers in the input list are '238', '92' and '2799', hence th... | 8388 | 4 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
-0.618057370185852,
0.6626118421554565,
-0.562388002872467,
-0.6374636888504028,
-0.37999868392944336,
-0.0547613799571991,
0.01115492545068264,
-0.23828604817390442,
-0.7512186169624329,
-0.17837516963481903,
-0.7866369485855103,
-0.07680129259824753,
0.1627502739429474,
0.100288510322570... |
Given the task definition, example input & output, solve the new input case.
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the ou... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'STEM_BASED_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIF... | 1 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.3324626088142395,
-0.048253484070301056,
-0.22897997498512268,
0.30940091609954834,
0.5289685130119324,
-0.5700775384902954,
0.5215996503829956,
1.1133365631103516,
-0.33597975969314575,
0.237909197807312,
0.2522822618484497,
0.00497710146009922,
-0.17986145615577698,
0.10967931151390076... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Input: Consider Input: Article: It was... | Output: No
| 2 | NIv2 | task310_race_classification | fs_opt | [
0.7251933813095093,
0.4156050384044647,
-0.8562807440757751,
-0.04925919696688652,
0.39305657148361206,
-0.3254726529121399,
0.6655421257019043,
0.7440635561943054,
-0.593227744102478,
0.3205205798149109,
-0.12871506810188293,
0.2036609947681427,
-0.2724056839942932,
0.2537369430065155,
... |
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Input: Pero en sociedades máis igualitarias, esta porcentaxe sobe ata o 60% ou 65%.
Output: | ولكن في المجتمعات التى بها عدالة إجتماعية ترتفع النسبة الى 60-65% | 2 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-0.6558892726898193,
0.7780677080154419,
0.5244674682617188,
-1.5497040748596191,
-0.1912643313407898,
-0.42541760206222534,
0.4084497392177582,
1.0796291828155518,
-0.07398677617311478,
-0.1627718210220337,
-0.9231231808662415,
-0.22369924187660217,
-0.8721925020217896,
0.4376424849033355... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question having multiple possible answers in Vietnamese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Điều g... | E | 1 | NIv2 | task1130_xcsr_vi_commonsense_mc_classification | zs_opt | [
0.008538538590073586,
0.4961467683315277,
-0.3770689070224762,
0.017059287056326866,
-0.21404123306274414,
0.07339192926883698,
0.9317617416381836,
1.0507770776748657,
0.04725368320941925,
-0.45487961173057556,
-0.5329591631889343,
0.22757069766521454,
0.12298211455345154,
-0.0691227167844... |
Detailed Instructions: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Q: I heard some long-time fans of Michael Nesmith were confused. You'll listen to Michael's new sound.
A: | Positive | 9 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.30538302659988403,
0.18200954794883728,
0.6228704452514648,
-0.1576497107744217,
0.915593147277832,
-0.13483470678329468,
0.6466861963272095,
0.478101909160614,
0.11683613806962967,
0.9986402988433838,
0.2651248574256897,
-1.0937550067901611,
-0.6374297142028809,
-0.3627341687679291,
... |
Instructions: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks ... | I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP | 3 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.05518742650747299,
0.5719484090805054,
-0.45137688517570496,
0.23295879364013672,
0.15847009420394897,
-0.08737638592720032,
-0.034099821001291275,
0.48812350630760193,
-0.3206450939178467,
-0.05045492202043533,
-0.8370652198791504,
-0.28238028287887573,
-0.5896336436271667,
-0.327993094... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Zacznę od zagadki opartej na mowie niebezpośredniej.
Output: | Vou começar com um enigma: o enigma dos atos de fala indireta. | 1 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-0.25115883350372314,
1.1100833415985107,
-0.03761691600084305,
-0.15838301181793213,
-0.5654377937316895,
0.45112472772598267,
0.9469195604324341,
0.03883086144924164,
0.6137242317199707,
-0.16664960980415344,
-0.854698121547699,
-0.18456819653511047,
-0.34893298149108887,
0.2073964774608... |
Teacher:A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: इससे वरिष्ठ नागरिकों को प्रति माह 10,000 रुपये तक पेंशन मिल सकेगी।
Student: | ఈ చర్య ద్వారా సీనియర్ సిటిజన్ లకు ఒక్కొక్క నెలకు 10000 రూపాయల వరకు పెన్షన్ అందేందుకు ఆస్కారం ఉంటుంది. | 6 | NIv2 | task1045_pib_translation_hindi_telugu | zs_opt | [
-0.05035573989152908,
0.45829063653945923,
-0.04251249134540558,
-0.3949488401412964,
-0.22844688594341278,
-1.104769229888916,
0.6975758671760559,
0.5402138233184814,
0.2536352872848511,
-0.44794023036956787,
0.37735021114349365,
-0.2561107873916626,
-0.8518072962760925,
-0.12872335314750... |
Teacher:In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.
Teacher: Now, understand the problem? Solve ... | English | 6 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | zs_opt | [
0.44638657569885254,
0.45681318640708923,
0.5878466367721558,
-0.1271793246269226,
0.025303641334176064,
-0.8947151899337769,
-0.010977387428283691,
0.8000550866127014,
0.14325009286403656,
-0.25523436069488525,
-0.055536627769470215,
-0.0953158289194107,
-0.6975698471069336,
-0.5028489828... |
You are given a statement written in Kannada. 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 .
Input: Consider Input: Statement: ಕಾಲಾ ನಂತರದಲ್ಲಿ, ಆರ್ಯನ್ನರು ಭಾರತದ ಒಳ ಭೂಖಂಡದ ಬೇರೆ ಬೇರೆ ಭಾಗಳಲ್ಲಿ ಹರಡಿಕೊಂಡರು, ದೂರ ದಕ... | Output: ರೋಮಿ
| 2 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
0.6191176176071167,
0.6929281949996948,
-0.1601492464542389,
-0.035931870341300964,
-0.018676798790693283,
-0.10928773134946823,
0.23386874794960022,
0.7332293391227722,
-0.1283140629529953,
-0.22869478166103363,
0.11054514348506927,
0.10030756890773773,
-0.7588651776313782,
-0.02425505407... |
Instructions: Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
Input: English sentence: Turin always regretted losing Lagrange and from time to time his return there was suggested, for example in 1774.
Output: | Turin palaging regretted talo Lagrange at mula sa oras-oras sa kanyang bumalik doon ay iminungkahi, para sa mga halimbawa sa 1774. | 3 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
0.060840707272291183,
0.43852412700653076,
-0.060465216636657715,
-0.24092042446136475,
0.6500888466835022,
-0.901942253112793,
0.6758936047554016,
0.18182094395160675,
-0.480363130569458,
0.5920363068580627,
-0.012074314057826996,
0.534782350063324,
-0.8407912254333496,
0.5796550512313843... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
One example: Cando chegas a estas sociedades en desenrolo, as mulleres son os piares da súa comunidade, pero os homes seguen a ser os que controlan as rúas.
Solution is here: وقتی به این جامعه های در حال توسعه می روید زنها ... | ولی کلی مطالب خلاقانه هنوز اون ته باقی است. ولی کلی مطالب خلاقانه هنوز اون ته باقی است. | 6 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-1.332629919052124,
0.9026783108711243,
0.03416085243225098,
-0.21891430020332336,
-0.020953301340341568,
-0.6350443363189697,
0.5845195651054382,
0.7504686117172241,
-0.3640187382698059,
0.08618584275245667,
-1.5531337261199951,
0.5934743881225586,
-0.644707202911377,
0.001427786657586693... |
Given the task definition and input, reply with output. In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of p... | ADD | 5 | NIv2 | task584_udeps_eng_fine_pos_tagging | zs_opt | [
0.025702837854623795,
0.41667434573173523,
0.13264679908752441,
0.3226281404495239,
-0.18050149083137512,
-0.5578539371490479,
0.4243181347846985,
0.8141921162605286,
-0.32551175355911255,
-0.4233115017414093,
-0.39071956276893616,
0.6821416616439819,
-0.15779133141040802,
-0.1052524372935... |
Teacher:Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'Barack Obama has become the 44th President Elect of the United States of Am... | be president of | 6 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
-0.006772277876734734,
0.5462905168533325,
0.5950149893760681,
0.13513576984405518,
-0.05077214911580086,
-1.188927412033081,
0.37804609537124634,
0.7638359665870667,
1.1054508686065674,
0.21866600215435028,
-0.03139123320579529,
-0.030086416751146317,
-0.005914798006415367,
-0.34569844603... |
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'.
Input: Consider Input: Dialogue 1: 'delete conversation i'd rather delete people discussing it admi... | Output: no
| 2 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.5928652286529541,
0.417828768491745,
0.6221582293510437,
-0.22581934928894043,
0.30001354217529297,
0.14284227788448334,
1.231074571609497,
0.7069715261459351,
0.33963263034820557,
0.20852002501487732,
0.12059205770492554,
-0.7066051959991455,
-0.5362216234207153,
0.05717680603265762,
... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choi... | ab | 9 | NIv2 | task221_rocstories_two_choice_classification | fs_opt | [
-0.3808937966823578,
0.1668212115764618,
-0.18038299679756165,
0.485901802778244,
0.6289488077163696,
-0.08601528406143188,
0.586686372756958,
1.0765230655670166,
-0.3166373372077942,
0.21426592767238617,
-0.49772605299949646,
-0.28321123123168945,
0.21289782226085663,
-0.16786035895347595... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Q: Było to radosne, choć czasem też frustrujące.
A: Foi emocionante, mas frustrante às vezes.
****
Q: Te nogi są świetne.
A: Não, estas pernas são ótimas.
****
Q: Jest nawet jeszcze jeden.
A: | Na verdade, aqui está outro.
****
| 4 | NIv2 | task1264_ted_translation_pl_pt | fs_opt | [
-0.38030487298965454,
1.2350605726242065,
-0.1116446927189827,
0.010411268100142479,
-0.3732236623764038,
-0.7353060841560364,
0.8152608871459961,
-0.3013712763786316,
0.22174565494060516,
-0.11401122808456421,
-0.523984432220459,
0.3160862624645233,
-0.7081670165061951,
0.5500420331954956... |
Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
One example is below.
Q: रोजगार कार्यालय जाओ.
A: Go to the employment office.
Rationale: The translation is correct
Q: ब्रूक्स, मुझे देखो.
A: | Brooks, look at me. | 9 | NIv2 | task1323_open_subtitles_hi_en_translation | fs_opt | [
-0.6627246737480164,
1.0146887302398682,
0.29933109879493713,
0.3782268166542053,
-0.0636557787656784,
-0.6977197527885437,
0.025092974305152893,
-0.3053613007068634,
0.10182689875364304,
-0.4296077489852905,
-0.13970398902893066,
-0.08982701599597931,
0.13742783665657043,
0.26076447963714... |
Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Porque não construir um simulador virtual de um laboratório?
| ¿Por qué no construir un simulador virtual de laboratorio? | 5 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-1.4830420017242432,
1.1240276098251343,
0.07182653248310089,
-0.3839767277240753,
-0.6548922061920166,
0.2174774408340454,
-0.057793278247117996,
0.5389147996902466,
0.6089445948600769,
-0.4355100393295288,
-0.20391154289245605,
0.6407651901245117,
-0.29837310314178467,
-0.252104103565216... |
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
Q: [31.541, -32.498, 202.96]
A: [ 0.156 -0.161 1.005]
****
Q: [27.425, 165.583, 82.748, 74.086, 181.22, 39.498]
... | [0.026 0.136 0.212 0.029 0.25 0.058 0.168 0.025 0.096]
****
| 4 | NIv2 | task093_conala_normalize_lists | fs_opt | [
-0.5611147880554199,
0.5873120427131653,
-0.8853698968887329,
-1.1910066604614258,
-0.0748581662774086,
0.0669884979724884,
0.2985426187515259,
-0.013468907214701176,
-0.23077458143234253,
-0.3530992865562439,
-0.9399471879005432,
0.2127847820520401,
0.009518707171082497,
-0.40370076894760... |
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 Japanese. Your job is to translate the Japanese sentence into Hebrew.
人の脳の何がそんなに特別なのでしょうか ？
Solution: מה מייחד את המוח האנושי?
Why? The Japanese sentence is correctly tra... | למרבה הצער, ארה "" ב אינה אחת מהן, כך שאם במקרה תהיתם | 0 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.5389043688774109,
0.19138842821121216,
0.4577276408672333,
-0.15390348434448242,
-0.6453405618667603,
-0.40560129284858704,
1.2239975929260254,
-0.09667645394802094,
0.7496407628059387,
-0.49357864260673523,
-0.5387248396873474,
-0.10284586250782013,
-0.5770246982574463,
0.3612650036811... |
Detailed Instructions: Given a sentence in Russian, generate a new Russian 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 reasona... | Вы, скорее всего, рискуете создать существо в лесу. | 8 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.007959011942148209,
0.6498984098434448,
-0.002294577192515135,
-0.27695536613464355,
-0.9152790307998657,
-0.4926726520061493,
0.8501005172729492,
1.2646772861480713,
0.0011483087437227368,
-0.2871484160423279,
-1.1044915914535522,
-0.4055676758289337,
-0.42538219690322876,
0.3804805874... |
Definition: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Input: [-807, 607, -677, -134]
Output: | [-810, 610, -680, -130] | 2 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.7033035755157471,
0.8845697641372681,
-0.3562253713607788,
0.0000539190077688545,
-0.30928733944892883,
0.07487104833126068,
0.5291773676872253,
0.10893513262271881,
0.08078113943338394,
0.33690202236175537,
-0.606159508228302,
0.14265874028205872,
-0.6243168711662292,
0.534853279590606... |
In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that can ... | The original air date of _____ directed by Perry Lang and written by Patrick Massett & John Zinman is February 3, 2003 | 0 | NIv2 | task1407_dart_question_generation | zs_opt | [
-0.5308035612106323,
0.3668439984321594,
-0.2852364182472229,
-0.2904345989227295,
-0.07608944177627563,
-0.3350493907928467,
0.8272860646247864,
-0.5551462173461914,
-0.1356872320175171,
-0.19459013640880585,
-0.5422689914703369,
0.18827053904533386,
-0.3050061762332916,
0.183420538902282... |
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.
One example: JkbloNUq, nYblowj
Solution is here: b, j, k, l, n, o, q, u
Explanation: Here, 'JkbloNUq' is the longer string among ... | a, d, j, n, q, y | 6 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.2981654405593872,
1.7310253381729126,
-0.41998547315597534,
-0.8532035946846008,
-0.16051913797855377,
0.1653796136379242,
1.1377419233322144,
-0.17364057898521423,
-0.14743292331695557,
0.6643405556678772,
0.13904933631420135,
-0.3842626214027405,
-0.6185723543167114,
0.464032441377639... |
Teacher:Given a sentence in French, provide an equivalent paraphrased version from the original that retains the same meaning.
Teacher: Now, understand the problem? Solve this instance: Taieri est un ancien électorat parlementaire de la région d’Otago en Nouvelle-Zélande, de 1866 à 1911.
Student: | Taieri est un ancien électorat parlementaire de la région néo-zélandaise d'Otago, de 1866 à 1911. | 6 | NIv2 | task772_pawsx_french_text_modification | zs_opt | [
0.5302389860153198,
0.4344600439071655,
0.10853598266839981,
-0.05931180715560913,
-0.08413906395435333,
-1.2078440189361572,
0.46575573086738586,
-0.16089677810668945,
0.39318251609802246,
0.510701596736908,
0.3695926070213318,
-0.10114222764968872,
-0.7697323560714722,
-0.378359258174896... |
Given the task definition, example input & output, solve the new input case.
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sente... | Inversion | 1 | NIv2 | task516_senteval_conjoints_inversion | fs_opt | [
-0.12337591499090195,
0.8362800478935242,
0.44924551248550415,
0.18996818363666534,
0.2665770351886749,
0.023393664509058,
0.017505168914794922,
0.6285455226898193,
-0.04141462221741676,
-0.2593232989311218,
-0.4571857154369354,
-0.7424225807189941,
-0.4907070994377136,
-0.2432446181774139... |
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 have been modified by humans using an edit word to make them funny.
Example In... | Not Funny
| 3 | NIv2 | task495_semeval_headline_classification | fs_opt | [
-0.07988734543323517,
0.39811789989471436,
0.6223121285438538,
0.021393734961748123,
-0.2308230698108673,
-0.5058919191360474,
0.08475534617900848,
1.1035876274108887,
-0.12373208999633789,
0.06167510524392128,
-0.5331265926361084,
-0.3734869956970215,
-0.8238450288772583,
-0.1840190291404... |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Ex Input:
"Twitter is depriving cyberdissidents in repressive countries o... | 訴訟の原告には、キリスト教やヒンズー教から改宗した人もいた。
| 1 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.8946454524993896,
-0.8753501176834106,
-0.13602861762046814,
0.5512390732765198,
0.1026352047920227,
-0.03644653782248497,
0.08977094292640686,
0.8735861778259277,
-0.32201629877090454,
0.6105531454086304,
-0.40382492542266846,
-0.1138727143406868,
0.25296273827552795,
0.234961122274398... |
A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
[EX Q]: મહત્વપૂર્ણ સંકેતમાં રાષ્ટ્રપતિજીનાં વિશેષ અતિથિ સ્વરૂપે રાષ્ટ્રપતિ સોલિહ રાષ્ટ્રપતિ ભવનમાં રોકાયા છે.
[EX A]: एक अतिशय महत्त्वाचा संकेत म्हणून... | - तोही एक काळ होता विद्वान काय म्हणायचे भारतीय अर्थव्यवस्थेत जोखीम आहे.
| 6 | NIv2 | task983_pib_translation_gujarati_marathi | fs_opt | [
-0.4572291970252991,
-0.1747802495956421,
-0.18567302823066711,
0.24248623847961426,
-0.6765421628952026,
-1.3647605180740356,
0.5236554145812988,
0.35335856676101685,
-0.3740881085395813,
-0.09193769097328186,
-0.4881834089756012,
0.1909402310848236,
-0.4502534866333008,
-0.07473516464233... |
Given the task definition and input, reply with output. In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Querying posts on Twitter with extracted lexicons led to a collection of $19,300$ tweets. In order t... | $19,300$ added 2500 randomly sampled tweets | 5 | NIv2 | task460_qasper_answer_generation | zs_opt | [
-1.0132288932800293,
0.5886039733886719,
0.06244916096329689,
0.2702934741973877,
-0.7139300107955933,
0.05693373829126358,
-0.3737662732601166,
-0.3703137934207916,
0.0960053950548172,
-0.007819067686796188,
-0.5030643939971924,
0.4959321618080139,
-0.7058793306350708,
-0.2476008981466293... |
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.
Q: ddnjdnnndnnddjd
A: | dnnnd | 4 | NIv2 | task850_synthetic_longest_palindrome | zs_opt | [
-0.8573545217514038,
0.9252737164497375,
-0.18426454067230225,
-0.7572944760322571,
-1.0280380249023438,
0.42528021335601807,
0.7840903401374817,
-0.26490283012390137,
0.07947087287902832,
0.1149677187204361,
-0.6964761018753052,
0.09590762853622437,
-1.041792869567871,
0.6081714630126953,... |
instruction:
You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to f... | arithmetic
| 9 | NIv2 | task834_mathdataset_classification | fs_opt | [
0.3732144236564636,
0.07107821106910706,
-0.11736845225095749,
-0.15592733025550842,
-0.046172454953193665,
-0.05824197828769684,
-0.11310167610645294,
0.09376654028892517,
0.10724493116140366,
-0.5210000872612,
-0.9129687547683716,
0.12170455604791641,
-0.31164541840553284,
-0.19912840425... |
Definition: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an indiv... | green_basket | 2 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
0.23649150133132935,
0.07894255220890045,
-0.26002347469329834,
-0.29764750599861145,
-0.1998383104801178,
-0.20259085297584534,
0.3410681188106537,
0.7915588617324829,
0.36056607961654663,
-0.3641650378704071,
-0.5429695844650269,
0.5654768943786621,
-0.18963438272476196,
0.27362519502639... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Input: Consider Input: 様々な物語がなくてはなりません
Output: Moitas historias son importantes.
Input: Consider Input: (指差して「何あれ ？ 」という身振りをする ― 笑) 「彼がどうしたいか分った ？ 」
Output: (Risas) "Entendes o que quere este tipo?"
Input: Conside... | Output: E a base de todo isto é como interactúan.
| 2 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.06137082353234291,
0.6482024192810059,
0.16203673183918,
-0.13864168524742126,
-0.13411569595336914,
-0.9671440720558167,
0.30732113122940063,
-0.041138894855976105,
-0.3439532220363617,
-0.880173921585083,
-0.4264937937259674,
0.3026939630508423,
-0.8149185180664062,
-0.142440617084503... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
One example: Article: There are a lot of public libraries in Britain. These libraries have more than one hundred and fifteen million books, not including those libraries of public school... | What is said to be a factor affecting our appetite and food intake? | 6 | NIv2 | task311_race_question_generation | fs_opt | [
0.604331910610199,
0.29244065284729004,
-0.2511855363845825,
-0.5147209763526917,
0.5171638131141663,
-0.10084304213523865,
0.7507500648498535,
0.2340933382511139,
0.05276957154273987,
-0.6474885940551758,
0.01091585960239172,
-0.18593961000442505,
-1.9166079759597778,
0.4893718957901001,
... |
Given the task definition and input, reply with output. 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 find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string.... | A6097 | 5 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.3266022205352783,
0.14795610308647156,
-0.29411575198173523,
-0.6821098923683167,
-0.09928935766220093,
-0.05629265308380127,
-0.09784851223230362,
-0.06806851923465729,
-0.26985493302345276,
-0.06752415001392365,
-1.356274127960205,
-0.013611226342618465,
-0.23087579011917114,
-0.14444... |
Given the task definition, example input & output, solve the new input case.
We would like you to assess the QUALITY of each of the following argument (discussing Gun Control) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a... | Valid | 1 | NIv2 | task150_afs_argument_quality_gun_control | fs_opt | [
0.13780421018600464,
0.8100472688674927,
0.047757524996995926,
-0.2587026357650757,
-0.1699560284614563,
-1.5065969228744507,
0.4468645453453064,
0.6864163279533386,
0.3428027033805847,
0.38057398796081543,
-0.6296576261520386,
-0.5095527172088623,
-0.24744954705238342,
-0.0365660898387432... |
Instructions: Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: 保守党は「彼が両方の役割を続けることは不可能である」と言った。
Output: | Pihak Konservatif mengatakan bahwa tidak mungkin baginya untuk terusmelanjutkan kedua peran. | 3 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
0.0908302366733551,
0.7681165933609009,
0.3384851813316345,
-0.3284587860107422,
-0.2781939208507538,
-0.7125120162963867,
0.3224492371082306,
-0.31547990441322327,
0.019269611686468124,
-0.2819519639015198,
-0.6767796874046326,
-0.06682029366493225,
-0.8723995685577393,
0.1272035986185073... |
Teacher:In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You... | No | 6 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
-0.0307669248431921,
-0.1378864049911499,
0.4338582754135132,
-0.4417978823184967,
-0.17707990109920502,
-0.9489588737487793,
1.2424640655517578,
0.3906744122505188,
-0.7928606271743774,
-0.7778304815292358,
-0.2681069076061249,
-0.31245046854019165,
-0.6960444450378418,
0.4084371626377105... |
You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
[Q]: System Reference: i am sorry i am not finding any hotels in the inset area.
Original Reference: there are no h... | 0
| 5 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-0.4263550639152527,
0.7972482442855835,
-0.8428908586502075,
-0.09384539723396301,
-0.17611387372016907,
-0.4867510497570038,
1.047730803489685,
0.24277305603027344,
-0.04283304512500763,
-0.1740848273038864,
-0.14858132600784302,
0.08237582445144653,
-0.14976046979427338,
-0.080968141555... |
Given the task definition and input, reply with output. In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjuncti... | VBD | 5 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
0.13408927619457245,
0.4349377751350403,
-0.652378261089325,
0.4578271210193634,
-0.017976704984903336,
-1.1360998153686523,
0.6802866458892822,
0.6249682903289795,
-0.7188069820404053,
-0.06621359288692474,
-0.5207573175430298,
0.38474196195602417,
-0.21188361942768097,
-0.103767499327659... |
Definition: You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Input: Event:PersonX is an hour late. Intent:.... | angry | 2 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.5349569320678711,
-0.02391396090388298,
-0.08642876148223877,
-0.27098923921585083,
-0.7769675254821777,
-0.517501711845398,
1.1354036331176758,
0.2616420090198517,
0.5832674503326416,
-0.4713016748428345,
0.47519779205322266,
0.13990607857704163,
-0.2910260260105133,
0.3832186460494995,... |
Definition: This task is about translating a given Spanish language sentence to English.
Input: "Todavía seguiremos viéndonos", insistí.
Output: | "We will still see each other," I insisted. | 2 | NIv2 | task1692_qed_amara_translation | zs_opt | [
0.15034618973731995,
0.4814304709434509,
0.3518509566783905,
0.4031296372413635,
-0.17093607783317566,
-0.3636918067932129,
0.36804378032684326,
0.20555944740772247,
0.6437612175941467,
-0.43245968222618103,
-0.43010425567626953,
-0.04062306135892868,
-0.40435686707496643,
0.75052988529205... |
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: No... | paper | 2 | NIv2 | task033_winogrande_answer_generation | fs_opt | [
0.08542913943529129,
0.7127368450164795,
0.0991620272397995,
-0.43671905994415283,
0.00841800682246685,
-0.611969530582428,
0.4898970127105713,
0.9230645895004272,
0.5051093697547913,
-0.27710410952568054,
0.38468700647354126,
0.28735390305519104,
0.11079315096139908,
-0.05902569741010666,... |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example input: I've read this book with much expectation, it was very boring all through out the book
Example output: Negative
Example explanation: Review writer does not like the book because it was boring,... | Negative | 3 | NIv2 | task493_review_polarity_classification | fs_opt | [
-0.17123106122016907,
0.2690195143222809,
0.15907973051071167,
-0.7110711336135864,
0.6870445013046265,
-0.12025542557239532,
0.7499849200248718,
0.7427793741226196,
0.23633122444152832,
0.2659144103527069,
0.1361401230096817,
-0.896652102470398,
-0.9665743112564087,
-0.5585008859634399,
... |
Given the task definition and input, reply with output. In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: 10 men and 15 women together can complete a work in 5 days . it takes 100 days for one man alone to complete the s... | b | 5 | NIv2 | task1422_mathqa_physics | zs_opt | [
-0.001057834248058498,
0.9141800999641418,
-0.3099583387374878,
-0.30051833391189575,
-0.012638590298593044,
-0.02631126157939434,
-0.08008915930986404,
0.7028551697731018,
0.26003578305244446,
-0.06348677724599838,
-1.1327025890350342,
0.12564310431480408,
0.2781045436859131,
-0.021361954... |
This task is about translating a given English language sentence to French.
Q: Acceleration. And you might say Well, gee, look, my speed was constant, it's not changing if I look at this speedometer for the car here,
A: Et vous allez surement dire
****
Q: They do the test, they have these incentives, and here's what ... | Nous avons donc fait ce problème.
****
| 4 | NIv2 | task1689_qed_amara_translation | fs_opt | [
-0.5124722719192505,
0.5888267755508423,
0.6854419708251953,
-0.2934439182281494,
0.09098484367132187,
-0.39813169836997986,
-0.45838552713394165,
0.9462913870811462,
0.4356843829154968,
-0.11789484322071075,
-0.44108861684799194,
-0.6907027363777161,
0.16757088899612427,
-0.34141698479652... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
[EX Q]: Title: Klutzy Klaus. Sentence 1: Klutzy Klaus hate... | It was not easy but she decided to give it up for adoption.
| 6 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
-0.7813971638679504,
0.8931457996368408,
-0.8452239632606506,
-0.22988051176071167,
0.36244529485702515,
-0.17573261260986328,
0.24144726991653442,
0.08218495547771454,
-0.689669132232666,
-0.22726264595985413,
-0.19255416095256805,
0.5325896739959717,
-0.09170930832624435,
-0.167199343442... |
instruction:
In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
question:
i still feel so agitated
answer:
anger
question:
i got some good feedback from my summary of uganda i still feel as though i missed out... | surprise
| 9 | NIv2 | task512_twitter_emotion_classification | fs_opt | [
-1.3374671936035156,
0.19530530273914337,
0.5126383900642395,
-0.12502767145633698,
-0.014672555960714817,
-0.9316657781600952,
0.7628722190856934,
0.18677008152008057,
0.0001169719616882503,
0.21576493978500366,
-0.03096095845103264,
0.0715058222413063,
-0.9443952441215515,
0.472194194793... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Let me give you a... | B | 8 | NIv2 | task385_socialiqa_incorrect_answer_generation | fs_opt | [
-0.09325775504112244,
0.8998022675514221,
0.07734967768192291,
0.2782752513885498,
0.34320420026779175,
-0.8922520279884338,
0.29582154750823975,
0.5133134126663208,
-0.2868821322917938,
0.44782137870788574,
-0.7305914163589478,
0.15203261375427246,
0.018015112727880478,
-0.527874231338501... |
Instructions: Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wron... | NOBODY | 3 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | zs_opt | [
-0.012860472314059734,
0.5657080411911011,
0.3030850291252136,
0.02281680330634117,
-0.07144580781459808,
-0.11879178881645203,
0.4205705523490906,
0.7074991464614868,
0.27296918630599976,
-0.2804889976978302,
-0.16257986426353455,
0.5174064636230469,
-1.2904610633850098,
-0.16484504938125... |
Detailed Instructions: Given a sentence in Bulgarian, generate a new Bulgarian 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 rea... | Кредитна карта се извършва от (. | 8 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
0.1835155189037323,
0.5593736171722412,
-0.16979536414146423,
-0.46980488300323486,
-0.019843814894557,
-0.6854208707809448,
0.6088590621948242,
0.362723171710968,
0.4712194800376892,
0.0023767671082168818,
-0.7974627017974854,
0.8635398149490356,
-0.38720864057540894,
0.2052568942308426,
... |
Detailed Instructions: In this task, you are given a fact statement and question based on the fact. Your task is to generate the correct answer for the question. The answer needs to be generated using the context fact statement.
See one example below:
Problem: Fact: deep sea animals live deep in the ocean. Question: Fr... | hotness | 4 | NIv2 | task1399_obqa_answer_generation | fs_opt | [
-0.16949047148227692,
-0.30953067541122437,
-0.8596404790878296,
0.07157821208238602,
-0.44569626450538635,
-0.6724936366081238,
0.16946324706077576,
-0.3902209997177124,
-0.3922092616558075,
-0.033646341413259506,
-0.08238404989242554,
0.19703057408332825,
-0.9127030372619629,
0.301823437... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Se... | Identifiable | 0 | NIv2 | task350_winomt_classification_gender_identifiability_pro | zs_opt | [
-1.3789423704147339,
0.852250337600708,
0.026489082723855972,
-0.8506976962089539,
0.003931831568479538,
0.25918048620224,
-0.06660936772823334,
0.8253722190856934,
0.5691843032836914,
0.25468194484710693,
-1.28916597366333,
0.02874945104122162,
0.1461763083934784,
-0.31901800632476807,
... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Q: مثل کسانى که به پروردگار خود کافر شدند، کردارهایشان به خاکسترى مىماند که بادى تند در روزى طوفانى بر آن بوزد: از آنچه به دست آوردهاند هیچ [بهرهاى] نمىتوانند برد. این است همان گمراهى دور و دراز.
A: L... | May God forgive us, he said, "if we hold any one but him with whom we found our property, or else we would be unjust."
****
| 4 | NIv2 | task657_quran_fa_en_translation | fs_opt | [
-0.13381731510162354,
0.6170558929443359,
0.09883695840835571,
-0.66275954246521,
-0.6088628768920898,
-0.8642314672470093,
0.7390435338020325,
0.962171733379364,
-0.11814172565937042,
0.5507265329360962,
-0.7365360260009766,
0.6001833081245422,
-0.49322840571403503,
-0.07419656962156296,
... |
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Sentence1: Is there ones that are on the more expensive price range? Sentence2: At the moderate price range, how about the Bridge Guest House? Sentence3: You might want to try alexander bed... | Answer: (B) System | 0 | NIv2 | task638_multi_woz_classification | zs_opt | [
0.5092526078224182,
0.9666911363601685,
-0.3107141852378845,
-0.5766091346740723,
-0.020849335938692093,
-0.43702074885368347,
0.47694340348243713,
1.2150312662124634,
-0.3187335729598999,
0.047438256442546844,
-0.2756933569908142,
0.03292745351791382,
-0.8337746858596802,
-0.2935864925384... |
Instructions: 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 sentence... | C | 3 | NIv2 | task534_farstail_entailment | zs_opt | [
-0.3531917631626129,
0.7125786542892456,
-0.1446126401424408,
0.216157466173172,
-0.45967942476272583,
0.15627935528755188,
1.0889675617218018,
0.10627220571041107,
0.41588273644447327,
-0.3597317337989807,
-0.6493765711784363,
0.26950305700302124,
-0.14556005597114563,
-0.2574799656867981... |
You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Input: Consider Input: System Reference: can i double check you want a hotel that has internet?
Original Reference:... | Output: 0
| 2 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-1.0011801719665527,
1.0414142608642578,
-0.42655283212661743,
0.18929526209831238,
-0.06801499426364899,
-0.893873929977417,
1.064361333847046,
0.5311154127120972,
-0.19074565172195435,
-0.003409028984606266,
-0.8449621200561523,
0.19396594166755676,
-0.5463985204696655,
-0.55450904369354... |
Compose a new way to ask the same question. The new question must be asking the exact same thing as the original question does. Without any other information, you should be able to tell that the original question and the new question are the same. Preserve bracketed phrases in your new question. You can change the rest... | [Becquerel] is a radioctivity unit within which system of measurement?
| 5 | NIv2 | task402_grailqa_paraphrase_generation | fs_opt | [
-0.10516729205846786,
0.7327485084533691,
-0.03671311214566231,
-0.5490882396697998,
0.37035882472991943,
0.08549411594867706,
0.6018856167793274,
1.1643598079681396,
-0.8699353933334351,
-0.26731008291244507,
-0.4867236912250519,
1.1740838289260864,
-0.7619696855545044,
0.4401518702507019... |
Q: In this task you are given a short story and a question regarding that story. You must answer the question based on the events of the story. Try to use the same words in the story to answer each question. You should completely answer the question in a short answer. Do not include information that is unnecessary to a... | He saw a job posting from the local jail. | 7 | NIv2 | task332_tellmewhy_answer_generation | zs_opt | [
-0.07581456750631332,
0.8431326150894165,
-0.09013686329126358,
-0.1362135112285614,
-0.2740676999092102,
-0.8758164644241333,
0.3102549910545349,
0.21310406923294067,
0.17232097685337067,
0.13282014429569244,
-0.6093665957450867,
0.014865607023239136,
-0.5097203254699707,
0.41550570726394... |
Here are two questions (Question1 and Question2). If these questions have the same meaning and same answer, answer "Yes", otherwise "No".
One example is below.
Q: Question1: How do I get into my Instagram if I forgot my email and my Facebook password?, Question2: I forgot my password and also my email password. how can... | No | 9 | NIv2 | task1287_glue_qqp_paraphrasing | fs_opt | [
-0.04297072812914848,
0.8100394010543823,
-0.1147303655743599,
0.11457319557666779,
-0.20925280451774597,
-0.3403516113758087,
1.126429557800293,
0.8620787262916565,
0.06813794374465942,
0.0649600401520729,
-0.3313366770744324,
-0.4944021999835968,
-0.6162521243095398,
-0.4008362293243408,... |
In this task, you are given a food review in Persian, and you have to extract aspects of the food mentioned in the text. We define aspects as taste/smell(طعم), nutritional value(ارزش غذایی), product quality(کیفیت), delivery(ارسال), packaging(بسته بندی) and purchase value/price(ارزش خرید). Although there might be multip... | طعم
| 1 | NIv2 | task529_parsinlu_food_aspect_detection | fs_opt | [
-0.9818751811981201,
0.22939087450504303,
0.3169704079627991,
0.42561304569244385,
-0.1680631935596466,
0.6227883100509644,
0.7437593936920166,
0.2450314164161682,
-0.4644498825073242,
0.2598037123680115,
-0.2934262156486511,
0.42259591817855835,
-0.6542236804962158,
0.3598552346229553,
... |
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... | Yes | 8 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
-0.0377228781580925,
0.3266012668609619,
0.29373422265052795,
-0.2506914734840393,
-0.2713215947151184,
-1.3116405010223389,
1.295990228652954,
0.19787192344665527,
-0.5560872554779053,
-0.28936469554901123,
0.04040446877479553,
-0.15386009216308594,
-0.7411605715751648,
0.3673716783523559... |
In this task, you are given books product reviews in German 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.
Example: Effektiv und mit viel Spaß lernen . Ich habe mir dieses Buch zu Weihnachten gewüns... | Solution: NEG | 5 | NIv2 | task479_cls_german_books_classification | fs_opt | [
-0.2305164337158203,
0.09329007565975189,
0.1270337849855423,
-0.6852506995201111,
0.5673091411590576,
-0.001910385675728321,
1.4293134212493896,
0.26112449169158936,
0.5014724731445312,
0.25962793827056885,
-0.0733906477689743,
-0.374439001083374,
-0.4598863124847412,
-0.03859732300043106... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Example: Context... | Dreams to Dream is a song from the 1991 animated feature film An American Tail: Fievel Goes West, based on a short instrumental piece from its prequel An American Tail, released in which year, an American animated musical adventure family comedydrama film directed by Don Bluth? | 1 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.7686780691146851,
0.331909716129303,
-0.8883602619171143,
0.9677903056144714,
0.6835002899169922,
-0.01891596056520939,
0.6804456114768982,
0.5217878818511963,
-0.09768174588680267,
0.4193882942199707,
-0.06787365674972534,
0.5116052627563477,
-0.8114304542541504,
-0.09846308827400208,
... |
instruction:
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 from "sympathetic" to "stern"). You should no... | PersonX got pregnant from PersonY, so _ had to be really supportive when it was time for the baby to come out.
| 9 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
1.1305700540542603,
0.32891297340393066,
-0.5403134226799011,
-0.23037171363830566,
0.23206400871276855,
-0.9368106126785278,
1.6036624908447266,
0.8126100897789001,
-0.07083815336227417,
-0.701695442199707,
-0.3846205174922943,
0.07957274466753006,
-0.9489514827728271,
0.37246018648147583... |
Detailed Instructions: In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
See one example below:
Problem: passage: Franchising is a way for small business owners to benefit from the economies of scale of the big cor... | Yes | 4 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
-0.2301686704158783,
0.42887336015701294,
0.2753244936466217,
0.13559752702713013,
-0.21851614117622375,
0.8304365277290344,
0.5358002185821533,
0.8808187246322632,
-0.09303256124258041,
-0.08140011131763458,
-0.4762963056564331,
-0.030736073851585388,
-0.4114898145198822,
0.26129436492919... |
Detailed Instructions: In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Q: Sentence: 'a cargo train is sitting at a train station'. Count the number of consonants in the given sentence.
A: | 20 | 9 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.46253615617752075,
0.37252938747406006,
-0.7646728157997131,
-0.4137830436229706,
0.19034934043884277,
-0.3985246419906616,
-0.2690657377243042,
0.46436551213264465,
0.1787727326154709,
-0.46390461921691895,
-0.47073858976364136,
-0.6448376774787903,
0.06862802058458328,
-0.4597763419151... |
Detailed Instructions: You are provided with an arithmetic question. Your task is to compute the solution using the given arithmetic operations. The only arithmetic operators needed to answer the questions are'+'(addition) and'-'(subtraction). The answer should be correct to one decimal place.
Q: Shannon and her family... | 1792.0 | 9 | NIv2 | task745_ai2_arithmetic_questions_arithmetic | zs_opt | [
0.34923386573791504,
0.8854683637619019,
-0.5185763835906982,
-0.27497321367263794,
-0.42781543731689453,
0.2811187505722046,
1.0421643257141113,
0.6922802329063416,
0.17791832983493805,
-0.5410107374191284,
-0.2189091145992279,
-0.23811858892440796,
-0.43508297204971313,
-0.28766363859176... |
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