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 |
|---|---|---|---|---|---|---|
Q: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Kristin told us all about the recent heartbreaking events.
A: | female | 7 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.6511062383651733,
0.557604193687439,
-0.5021558403968811,
-0.8491110801696777,
-0.14610490202903748,
-0.36116713285446167,
0.24176025390625,
0.10475153475999832,
0.7919160723686218,
0.6227956414222717,
-0.3483283519744873,
0.11517654359340668,
-0.26287806034088135,
0.7291073203086853,
... |
Detailed Instructions: 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 this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
See one example below:
Problem: What is the part-of-speech tag of the word "the" in the following question: Who were the builders of the mosque in Herat with fire temples ?
Solution: IN
Explanation: This is a good example. POS tag of the is DT and IN is incorrect.
Problem: What is the part-of-speech tag of the word "February" in the following question: In what city was the silver medalist born whose sport event was held from February 11th to February 17th ?
Solution: | DT | 4 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.5817345380783081,
0.6671121716499329,
-0.757145881652832,
0.9085147380828857,
-0.1178075522184372,
-0.9049942493438721,
0.6545727252960205,
0.8664055466651917,
-0.5925371050834656,
0.05327396094799042,
-0.5973837375640869,
0.7673457264900208,
-0.22880947589874268,
0.07556954771280289,
... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
W: Professor Clark said that the mid-term exam would cover the first 15 lessons? M: Really? I thought it only included the first 12 lessons. Then I must spendthe weekend to go over the rest of the lessons., Question: How many lessons must the man review over the weekend? | Five lessons. | 0 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
0.13385650515556335,
0.6329860687255859,
0.21388360857963562,
-0.93630051612854,
-0.22168542444705963,
-0.14603328704833984,
0.29644790291786194,
0.1155306026339531,
0.3615640699863434,
-0.581432580947876,
-0.7508869767189026,
-0.5961722135543823,
0.04576285928487778,
-0.9385350346565247,
... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
Example: jump left
Example solution: I_TURN_LEFT I_JUMP
Example explanation: The agent must first turn left and then jump in order to jump to the left.
Problem: look opposite left thrice after turn around right
| Solution: I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_LOOK | 5 | NIv2 | task128_scan_structured_text_generation_command_action_short | fs_opt | [
0.20908644795417786,
0.5292389988899231,
-0.3654370903968811,
-0.24892139434814453,
0.07894988358020782,
-0.00895279087126255,
0.4660365879535675,
0.05011848732829094,
-0.15522199869155884,
-0.44840681552886963,
-0.823142945766449,
-0.35879361629486084,
-0.7763587236404419,
-0.144830062985... |
Part 1. Definition
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'.
Part 2. Example
Problem: walking at 5 / 6 th of its usual speed a cab is 15 mnts late . find its usual time to cover the journey ?
Options: a ) 25 m , b ) 45 m , c ) 32 m , d ) 75 m , e ) 62 m
Answer: d
Explanation: New speed = 5 / 6 th of usual speed new time = 6 / 5 th of usual time 6 / 5 ut - ut = 15 m ut / 5 = 15 m ut = 75 m answer is d
Part 3. Exercise
Problem: the amounts of time that three secretaries worked on a special project are in the ratio of 2 to 3 to 5 . if they worked a combined total of 90 hours , how many hours did the secretary who worked the longest spend on the project ?
Options: a ) 80 , b ) 70 , c ) 56 , d ) 45 , e ) 14
Answer: | c | 7 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.307331383228302,
-0.34430715441703796,
-0.2677658498287201,
0.34553560614585876,
-0.14249013364315033,
0.3481955826282501,
0.15900588035583496,
0.4948006272315979,
0.10012885183095932,
-0.27837422490119934,
-0.758938193321228,
0.007009154185652733,
0.25963956117630005,
-0.098101750016212... |
Instructions: In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form. The output sentence should not be a colloquial form of the input sentence. The generated output should be in natural language which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. The output should keep those values intact and include the quotation marks around them as well. 3) Numbers and fully capitalized words like SEPTEMBER, or 10 HOURS *SHOULD NOT* be translated. Keep them as they are in the translations. 4) Do not localize measurement units like miles to kilometers during your translation. 5) Note the input is in sentence case except for special placeholders. Do the same in your translations.
Input: Stone, hit a tree, stone retrace your steps and return to whence you came.
Output: | Òkò kan igi; òkò padà sẹ́yìn kí o rebi o ti wá. | 3 | NIv2 | task1619_menyo20k-mt_en_yo_translation | zs_opt | [
0.2372646927833557,
0.5864337682723999,
-0.09113050997257233,
-0.17487776279449463,
0.1858028918504715,
-0.4298028349876404,
0.4305824339389801,
0.38464415073394775,
-0.212861567735672,
-0.2524540424346924,
0.22940969467163086,
0.37280726432800293,
-0.7975105047225952,
0.3076470196247101,
... |
Detailed Instructions: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns whether there is exactly one row in the view
3. hop: returns the value under the header column of the row
4. and: returns the boolean operation result of two arguments
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column
6. nth max/nth min: returns the n-th max/n-th min of the values under the header column
7. argmax/argmin: returns the row with the max/min value in header column
8. nth argmax/nth argmin: returns the row with the n-th max/min value in header column
9. eq/not eq: returns if the two arguments are equal
10. round eq: returns if the two arguments are roughly equal under certain tolerance
11. greater/less: returns if argument 1 is greater/less than argument 2
12. diff: returns the difference between two arguments
13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3
14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3
15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3
16. filter all: returns the view itself for the case of describing the whole table
17. all eq/not eq: returns whether all the values under the header column are equal/not equal to argument 3
18. all greater/less: returns whether all the values under the header column are greater/less than argument 3
19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3
20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3
21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3
22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3
Problem:eq { hop { argmax { all_rows ; upper index kcal / nm 3 } ; fuel gas } ; n - butane } = true
Solution: | select the row whose upper index kcal nm 3 record of all rows is maximum . the fuel gas record of this row is n butane . | 8 | NIv2 | task110_logic2text_sentence_generation | zs_opt | [
0.3216688632965088,
-0.07872448861598969,
-0.24755150079727173,
0.022902628406882286,
-0.014931694604456425,
-0.6491574048995972,
0.47367626428604126,
0.6396616697311401,
-0.061236485838890076,
-0.05810336768627167,
-0.4886939525604248,
-0.20671865344047546,
-0.08666455000638962,
0.5207213... |
Given the task definition and input, reply with output. Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT
| walk opposite left thrice and turn opposite left thrice | 5 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.14608655869960785,
0.7493267059326172,
-0.437655508518219,
0.2137494832277298,
-0.05452501401305199,
0.25894802808761597,
0.19563792645931244,
0.4743049144744873,
-0.2922026515007019,
-0.11628834903240204,
-0.7297267913818359,
-0.34298524260520935,
-0.5823848247528076,
0.0326932519674301... |
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.
Input: Sentence: 'a man is skateboarding on a cement skate board ramp'. Count the number of consonants in the given sentence.
Output: | 25 | 3 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.7680790424346924,
1.0814740657806396,
-0.9971756935119629,
-0.9363048076629639,
0.2623581290245056,
-0.21176202595233917,
-0.34556126594543457,
0.6557778120040894,
-0.2387515902519226,
-0.2665421962738037,
-0.49021613597869873,
0.16540294885635376,
-0.2827576994895935,
-0.947048962116241... |
In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that section, otherwise answer with "False"
One example is below.
Q: Review: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such poor quality. I have used infrared lights for my ball python for many years now and I get a varied range of months from a bulb, but I have never gone through two bulbs in a matter of two months! I am very disappointed.
Rating: 1
A: True
Rationale: The user seems very disappointed in the product because the bulb they ordered has been burned out earlier than usual. So, he gave 1 star to the review considering it extremely poor. So, true is the correct answer.
Q: Review: Honestly a lot of this book felt like fluff. The musical takes the theme and just goes crazy with it. The book is more like a slice of life with a weird computer. The musical is like an actual adventure
Rating: 3
A: | True | 9 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
0.061744656413793564,
0.5735880136489868,
-0.21088807284832,
0.15337404608726501,
0.12059149146080017,
-0.7759904861450195,
0.8988744020462036,
0.8188289403915405,
-0.298028826713562,
0.4012223184108734,
-0.18851514160633087,
0.18337436020374298,
-0.771525502204895,
-0.09542155265808105,
... |
In this task, you are given a movie review in Persian, and you have to extract aspects of the movie mentioned in the text. We define aspects as music(موسیقی), directing(کارگردانی), screenplay/story(داستان), acting/performance(بازی), cinematography(فیلمبرداری), and scene(صحنه). Although there might be multiple aspects in a review, we only need you to write one aspect.
Q: صـــابــر ابــر ی متفاوت ! . عطا(صابر ابر): آقا من 4ساله دندونپزشکی نرفتم،انقدر آب نمک کردم،شدم بلال !
A: | بازی | 4 | NIv2 | task528_parsinlu_movie_aspect_detection | zs_opt | [
-0.30973953008651733,
1.280799150466919,
-0.39780664443969727,
-0.007105994038283825,
-0.4233115613460541,
0.5248579978942871,
0.8316755294799805,
0.4134012460708618,
0.4211481213569641,
0.18910491466522217,
0.28754928708076477,
-0.10149386525154114,
-0.28440842032432556,
0.448942422866821... |
instruction:
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
question:
أرى بعض الناس يومئون هنا.
answer:
頷いていますね
question:
وبالعكس ، لكل صنف أو كيان آخر أو ظاهرة ، توجد مشاكل مهمة للحل الذي يطابق مجالات البحث تلك تماما.
answer:
逆に述べるとあらゆる種ものあるいは事象には逆に述べるとあらゆる種ものあるいは事象にはそれらが保有する理想的な解答の対象となる重要な課題が存在する
question:
والذي بدوره بالطبع مثّل قراراً أميناً جداً بالنسبة لهم ، إذ كان بمقدورهم دائماً التأشير صوب البيانات ليقولوا: "هذا ما تخبرنا إياه البيانات ،"
answer:
| もちろんこれは安全な決断でしただって「データから明らかだ」と言えば済むんですから
| 9 | NIv2 | task1231_ted_translation_ar_ja | fs_opt | [
0.12275274097919464,
-0.3172925114631653,
-0.38791757822036743,
-0.1310494989156723,
-0.4786481559276581,
-0.15889251232147217,
0.8057593107223511,
-0.40222227573394775,
0.10067726671695709,
-0.3837815523147583,
-0.9205982685089111,
-0.13945525884628296,
-0.2679663896560669,
0.975968599319... |
Definition: In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post contains offensive language or a targeted (veiled or direct) offense. Twitter user mentions were substituted by @USER and URLs have been substitute by URL.
Input: ANTI-ANTIFA IS BALLS
Output: | OFFENSIVE | 2 | NIv2 | task286_olid_offense_judgment | zs_opt | [
-1.0083413124084473,
0.4131988286972046,
0.3938741087913513,
0.8955944776535034,
-0.21030953526496887,
-0.7048358917236328,
0.6625665426254272,
0.374830037355423,
0.8916590213775635,
0.31001630425453186,
0.07853877544403076,
-0.09090370684862137,
-0.4997181296348572,
-0.42117640376091003,
... |
Instructions: You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Input: there is a taste of sugar substitute, the aftertaste turns me off, I've even tried using a little bit of milk in the mug before hand to hide the taste. It didn't, so i'm just using Swiss miss powder and a little milk to make it a creamier hot chocolate before using using my keurig.
Output: | Negative | 3 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
-0.8058506846427917,
0.08047717064619064,
0.7226879000663757,
-0.23078157007694244,
0.5002256631851196,
-0.3465384840965271,
0.5245739221572876,
0.2401515245437622,
-0.0696754977107048,
0.017894765362143517,
0.12944193184375763,
-0.4306502640247345,
-0.5385346412658691,
-0.3620725870132446... |
Definition: The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user may ask details of the place suggested by the system such as phone number, address, etc. Given such a dialogue, output a summary of the dialogue stating the criteria provided and details seeked by the user in this dialogue. The summary should strictly be in second person point of view. The summary should not contain any information that was not present in the conversation.
Input: System: 'Thank you for calling the Cambridge Information system. Your call will be recorded for research purposes. You may ask for information about a place to eat, such as a restaurant, a pub, or a cafe. How may I help you?'
User: 'um im looking for a coffee shop in griton'
System: 'What type of food would you like? For example, Fastfood, Greek, or Middleeastern.'
User: 'um a coffee shop'
System: 'What type of food would you like? For example, Greek, International, or Middleeastern.'
User: 'international'
System: 'There is no cafe serving international food.'
User: 'uh'
System: 'What part of town do you have in mind? For example, something in the Cherry Hinton, Girton, or King's Hedges area.'
User: 'im looking for a coffee shop'
System: 'There is no cafe serving international food.'
User: 'thank you good bye'
Output: | You are looking for a coffee shop in Girton. You don't care about the price range. Make sure you get the address, phone number, and price of the venue. | 2 | NIv2 | task1499_dstc3_summarization | zs_opt | [
0.2759636640548706,
0.3737504482269287,
-0.24915792047977448,
-0.22790484130382538,
-0.029944416135549545,
-0.8535146117210388,
0.42467156052589417,
0.6038118004798889,
0.03952588886022568,
0.37235307693481445,
0.2165910005569458,
-0.09389986097812653,
-0.19345828890800476,
-0.365496098995... |
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Input: Chegou á nosa reserva dende outra reserva ó este da nosa, na súa ruta migratoria.
Output: | Ela chegou à nossa Reserva vinda de uma outra Reserva a leste, na sua rota migratória. | 3 | NIv2 | task1246_ted_translation_gl_pt | zs_opt | [
0.1098732203245163,
0.9502796530723572,
-0.125069260597229,
-0.628798246383667,
-1.0012433528900146,
-1.372147560119629,
-0.9610607624053955,
1.3255736827850342,
0.1256139874458313,
0.12870313227176666,
-0.32761260867118835,
-0.2848236560821533,
-1.1642087697982788,
-0.3490365147590637,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Let me give you an example: وقتی به این جامعه های در حال توسعه می روید زنها رکن اصلی اجتماعشان هستند ولی هنوز این مردها هستند که خیابون ها رو در دست دارند.
The answer to this example can be: 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.
Here is why: The Farsi sentence is correctly translated into Galician, because the meaning is preserved.
OK. solve this:
کمی تامل کن و خود را از مخاطبین خلاص کن ، از بازیگران خداحافظی کن.
Answer: | Dedíquenlle o seu tempo a acompañar ao público á saída, a despedirse dos actores. | 8 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-0.9745997190475464,
1.1999462842941284,
-0.34361299872398376,
-0.06161236763000488,
-0.43038231134414673,
-0.039942529052495956,
0.3841272294521332,
0.7508752346038818,
-0.010558034293353558,
0.16139082610607147,
-1.477186918258667,
0.5609815120697021,
-0.6994847059249878,
-0.175875812768... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Input: אלו ילדים שנושרים מבתי ספר ציבוריים.
Output: | Y estos son jóvenes quienes están reprobando en la escuela pública. | 2 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.7221353054046631,
0.4111156463623047,
0.3313491940498352,
-0.41102683544158936,
-0.12583786249160767,
0.7343060970306396,
0.3953009843826294,
0.5461403131484985,
1.0858477354049683,
-0.4146139323711395,
-0.3832102119922638,
0.38192009925842285,
-0.11662034690380096,
0.002600852865725755... |
Teacher: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Teacher: Now, understand the problem? If you are still confused, see the following 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
Solution: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
Reason: The Japanese sentence is correctly translated into Arabic, because the meaning is preserved.
Now, solve this instance: 製品のひとつでした髪の毛や衣服が挟まってもコードをすぐに抜いて機械を止められなかったので
Student: | كما أن هناك.. إذا أجريت بحثاً عن هذا ، ستجد أوصافاً مخيفة لأناسٍ علِقت شعورهم وملابسهم بهذه الأجهزة. | 2 | NIv2 | task1224_ted_translation_ja_ar | fs_opt | [
-0.06820998340845108,
0.7122877836227417,
-0.6925458312034607,
-0.7675105929374695,
-0.6811652779579163,
-0.6141218543052673,
0.48650699853897095,
0.1761116236448288,
-0.49335336685180664,
0.4674590826034546,
-0.6217923164367676,
-0.017922203987836838,
-0.3810705244541168,
0.04889840260148... |
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 information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the passage or linked information.
See one example below:
Problem: Passage: The group was occasionally diverted from strategic missions to carry out air support and interdiction missions. It supported Operation Overlord, the invasion of Normandy by attacking transportation targets, including bridges, along with airfields and strong points in France. On D Day, the squadron and the rest of the 446th Group led the first heavy bomber mission of the day. The 446th aided ground forces at Caen and Saint-Lô during July by hitting bridges, gun batteries, and enemy troops. During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. It struck lines of communications during the Battle of the Bulge. During Operation Varsity in March 1945, it supplied ground and airborne troops near Wesel. The squadron flew its last combat mission on 25 April 1945 against Salzburg, Austria. The group had flown 273 missions and had lost 58 aircraft during the war,
. Link Information: Operation Market Garden was a failed World War II military operation fought in the Netherlands from 17 to 25 September 1944. Answer: from 17 to 25 September 1944
Solution: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin?
Explanation: The passage describes the 704th's actions during Operation Market Garden, and the answer specifies when the operation happened.
Problem: Passage: At the time, the Turkish Minister of Family and Social Policies, Fatma Betül Sayan Kaya, was touring Germany. A visit to the Dutch town of Hengelo, close to the German border, had already been scheduled. On 11 March, the Dutch General Intelligence and Security Service received information that Kaya would try to reach Rotterdam by car. She could freely cross the border because of the Schengen Treaty. A crisis centre was established on the twenty-third floor of the Rotterdam World Port Center to coordinate police actions. Earlier, the Turkish consul in Rotterdam had indicated to the Mayor of Rotterdam, Ahmed Aboutaleb, that there were no plans for such a visit. It now proved impossible to contact the consul, which gave Aboutaleb the conviction that the consul knew of Kaya's attempt. A motorcade was intercepted but the car with the minister managed to drive away. It reached a small yard at the rear of the Turkish consulate. The Dutch police stopped Betül Sayan Kaya's entourage just metres from the Turkish consulate building. About twenty police officers, forming a special forces unit, the Dienst Speciale Interventies, masked and equipped with body armour and automatic weapons, arrested ten members of Kaya's bodyguard, on suspicion of illegally carrying firearms. A German source had indicated they had obtained a German weapons permit. No arms were discovered. Two other men were also arrested, who later proved to be the Deventer Turkish consul and the chargé d'affaires of the Turkish embassy. They in principle enjoyed diplomatic immunity. The twelve arrested men were detained for two hours and their passports were seized. A stand-off ensued for several hours in which the Turkish minister refused to leave the car. Just after midnight, a special heavy tow truck, a lift flatbed, was driven into the yard and prepared to vertically hoist the 3.5 tonne car onto the flatbed, with the minister still in it, to transport her back to Germany. The minister now left the car and demanded entrance to the consulate invoking the Vienna Convention on Diplomatic Relations. The Dutch police had orders to arrest the minister if necessary. Ultimately, she gave in to the police demands to leave the country. At the time, many news sources assumed that she had been declared persona non grata. She was, loudly protesting, taken to another car, a black armoured Mercedes, by masked Dutch police officers who accompanied her to a police station at Nijmegen near the Dutch–German border. Her passport was seized. She was not allowed to leave the station for one and a half hours, while being reunited with the ten bodyguards. She returned to Germany under German escort. Sporadic rioting occurred among the about a thousand pro-Erdoğan protesters who had come to the Turkish consulate. They were met by Dutch riot police, who arrested twelve people for violent assault and not following police instructions. Kaya's passport was returned on 12 March, 18:00, to the Turkish consul. In April 2017, Kaya's lawyer said they would file a complaint against the Dutch government at court claiming that her expulsion from the Netherlands was illegal because she was not given a written statement of the reasons for the expulsion. However, on 2 May the case was dropped when it transpired that Kaya had never been formally declared persona non grata and that from a judicial point of view she had left the Netherlands voluntarily.
Link Information: The Schengen Agreement () is a treaty which led to the creation of Europe's Schengen Area, in which internal border checks have largely been abolished. It was signed on 14 June 1985 Answer: 32
Solution: | How many years after the Schengen Treaty being signed did the 2017 Dutch–Turkish diplomatic incident occur? | 4 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.5835509896278381,
0.2742304801940918,
-0.5406319499015808,
-0.11337858438491821,
0.5748491287231445,
-0.04925278201699257,
0.7329676151275635,
0.7057578563690186,
0.2400679737329483,
0.5134733319282532,
-0.25922808051109314,
0.34955352544784546,
-0.22379380464553833,
0.5726133584976196,
... |
Part 1. Definition
Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it.
Part 2. Example
Abstract: Some patients converted from ventricular fibrillation to organized rhythms by defibrillation - trained ambulance technicians(EMT - Ds) will refibrillate before hospital arrival.The authors analyzed 271 cases of ventricular fibrillation managed by EMT - Ds working without paramedic back - up.Of 111 patients initially converted to organized rhythms, 19(17 % ) refibrillated, 11(58 % ) of whom were reconverted to perfusing rhythms, including nine of 11(82 % ) who had spontaneous pulses prior to refibrillation.Among patients initially converted to organized rhythms, hospital admission rates were lower for patients who refibrillated than for patients who did not(53 % versus 76 % , P = NS), although discharge rates were virtually identical(37 % and 35 % , respectively).Scene - to - hospital transport times were not predictively associated with either the frequency of refibrillation or patient outcome.Defibrillation - trained EMTs can effectively manage refibrillation with additional shocks and are not at a significant disadvantage when paramedic back - up is not available.
Answer: Ventricular Fibrillation
Explanation: This term is directly present in the abstract and it is one of the main topic in it. So can be chosen as the medical subject heading.
Part 3. Exercise
Abstract: Rupture of an abdominal aortic aneurysm is readily diagnosed when the triad of abdominal or back pain, shock and a pulsatile abdominal mass are present. Clinical diagnosis can be difficult, however, when patients present with chronic pain and an aneurysm which is not readily palpable. In these patients with confusing abdominal symptoms, CT scan provides a rapid, noninvasive diagnosis. The acute leaking AAA has been documented, but only rarely. This report identifies two patients who ruptured an aortic aneurysm several "months" prior to operation--a "contained chronic" rupture.
Answer: | Aged | 7 | NIv2 | task620_ohsumed_medical_subject_headings_answer_generation | fs_opt | [
0.5806401371955872,
0.5724488496780396,
-0.3315209448337555,
0.10654279589653015,
0.325420081615448,
0.06267961859703064,
0.7702019810676575,
0.6761161088943481,
0.43605732917785645,
0.5161724090576172,
-0.49186939001083374,
0.21465948224067688,
-0.3365350663661957,
0.21151041984558105,
... |
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.
Example: [-83, 53, -48, 8]
Example solution: [-80, 50, -50, 10]
Example explanation: The output correctly rounds each integer in the input list to the nearest ten. So this is a good example.
Problem: [-18, -690, 412, -517, 282, 445, -767, -775, -253, -387, -564, 17, -402]
| Solution: [-20, -690, 410, -520, 280, 440, -770, -780, -250, -390, -560, 20, -400] | 5 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.39244362711906433,
0.3803916573524475,
-0.4308086037635803,
-0.056112196296453476,
-0.15717364847660065,
-0.2551262676715851,
1.1366231441497803,
-0.04363013058900833,
-0.25852590799331665,
0.3278372287750244,
-0.7591223120689392,
-0.1554051786661148,
-0.5234776735305786,
0.229911148548... |
Definition: In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or anti-stereotype. You are expected to classify the passage into three classes: stereotype, anti-stereotype, and unrelated.
Input: Passage: The physicist works hard. He is a science nerd.
Output: | Stereotype | 2 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
-0.1473345160484314,
0.1129830926656723,
0.04856429994106293,
-0.31581929326057434,
-0.01764831878244877,
0.6138014197349548,
0.5502676367759705,
0.22866347432136536,
0.28161680698394775,
-0.42890799045562744,
-1.1356523036956787,
-0.009219826199114323,
-0.5615295767784119,
-0.201260656118... |
Detailed Instructions: You will be given two sentences. One of them is created by paraphrasing the original one, with changes on an aspect, or using synonyms. Your task is to decide what is the difference between two sentences. Types of change are explained below:
Tense: The verbs in the sentence are changed in tense.
Number: Plural nouns, verbs and pronouns are changed into single ones or the other way around.
Voice: If the verbs are in active voice, they're changed to passive or the other way around.
Adverb: The paraphrase has one adverb or more than the original sentence.
Gender: The paraphrase differs from the original sentence in the gender of the names and pronouns.
Synonym: Some words or phrases of the original sentence are replaced with synonym words or phrases. Changes in the names of people are also considered a synonym change. Classify your answers into Tense, Number, Voice, Adverb, Gender, and Synonym.
Problem:original sentence: George got free tickets to the play , but he gave them to Eric , even though he was particularly eager to see it . paraphrase: Lily got free tickets to the play , but she gave them to Joan , even though she was particularly eager to see it .
Solution: | Gender | 8 | NIv2 | task276_enhanced_wsc_classification | zs_opt | [
-0.13355009257793427,
0.391735315322876,
0.09446515142917633,
-0.18349790573120117,
-0.03368309140205383,
-1.2735192775726318,
0.7817322015762329,
0.5472570657730103,
0.29725146293640137,
-0.2537901699542999,
-0.07076555490493774,
-0.2555985450744629,
-0.7689809799194336,
-0.34840908646583... |
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 non-negative, and will always have a value less than the length of A. i will always be less than j.
One example: 3, 7, ['A', '23', '7413', '6933', '3369', '807', 'M', '456']
Solution is here: 18522
Explanation: Here, the numbers from 3rd to 7th position are '7413', '6933', '3369', and '807', hence their sum (7413+6933+3369+807) is 18522.
Now, solve this: 1, 1, ['z', 'a']
Solution: | 0 | 6 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | fs_opt | [
-0.20665818452835083,
0.6864050626754761,
-0.481937050819397,
-1.1253570318222046,
-0.23714329302310944,
0.26409801840782166,
0.10030167549848557,
0.19055750966072083,
-0.12941542267799377,
-0.2975514531135559,
-0.8914104700088501,
0.18437185883522034,
0.1991100013256073,
-0.27720376849174... |
Given the task definition, example input & output, solve the new input case.
Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
Example: Earth rotates on its axis once times in one day.
Output: How many times does Earth rotate on its axis in one day?
The given output correctly poses a question based on the scientific fact given.
New input case for you: Menstrual cycle is the name for a series of changes in the reproductive system of mature females that repeats every month on average.
Output: | What is the name for a series of changes in the reproductive system of mature females that repeats every month on average? | 1 | NIv2 | task1552_scitail_question_generation | fs_opt | [
-0.559467613697052,
0.6141591668128967,
-0.8539204597473145,
0.3360368609428406,
-0.16153697669506073,
-0.8260785341262817,
-0.3149678111076355,
0.30518394708633423,
-0.3138119578361511,
-0.0665484145283699,
-0.865027666091919,
-0.28296536207199097,
-0.3897872269153595,
-0.3190425634384155... |
Given the task definition and input, reply with output. In this task, you need to reverse the order of words in the given sentence.
Sentence: young indian man using a laptop in a cafe
| cafe a in laptop a using man indian young | 5 | NIv2 | task376_reverse_order_of_words | zs_opt | [
0.3557581305503845,
0.9191991686820984,
-0.21717511117458344,
-0.04694453254342079,
-0.35994893312454224,
0.6081130504608154,
0.29295849800109863,
0.14474041759967804,
0.4179815649986267,
-0.09578251838684082,
-0.43583911657333374,
-0.0345272496342659,
-0.31630223989486694,
-0.140018671751... |
In this task, you will be given two sentences sentence1 and sentence2. You should decide whether the second sentence is entailed(agreed) by the first sentence. If it does entail, answer "yes", else answer "no".
One example is below.
Q: sentence1:region is nation in location
sentence2:region is country in location
A: yes
Rationale: A nation is a community of people of similar characteristics/descent with a common government. A country is a region sharing a common government. Hence, a nation can be defined as a country.
Q: sentence1:employer is having edge over employer sentence1:employer is trailing employer
A: | no | 9 | NIv2 | task970_sherliic_causal_relationship | fs_opt | [
-0.47314172983169556,
0.5924352407455444,
0.5990324020385742,
-0.5477195978164673,
0.025783807039260864,
-0.1628572642803192,
0.5849313735961914,
0.8394610285758972,
-0.07959979772567749,
-0.12254992127418518,
-0.8078992366790771,
-0.4968242943286896,
-0.5074962377548218,
-0.33640316128730... |
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 have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
1 3/4 cups all purpose flour, 1/4 cup finely ground blanched almonds, 1 teaspoon grated lemon zest, 1/2 cup confectioners sugar, 2 sticks unsalted butter, almost melted, 4 eggs, lightly beaten, 2 cups granulated sugar, 1/4 cup flour, 1/2 teaspoon baking powder, 2 teaspoons grated lemon zest, 1/3 cup fresh lemon juice, Candied violets for garnish, optional
Solution: flour, ground blanched almonds, lemon zest, confectioners sugar, butter, eggs, sugar, flour, baking powder, lemon zest, lemon juice, Candied violets
Why? Given the required ingredients, the ner of the recipe is generated. As the ingredients contain the quantities, if we just remove quantities from ingredients, we get the ner.
New input: Glaze:, 3 cups seedless red grapes, 2 teaspoons olive oil, 1 cup chopped onion, 2 garlic cloves, minced, 2 tablespoons balsamic vinegar, 2 teaspoons low-sodium soy sauce, 1 teaspoon brown sugar, 1 teaspoon chopped fresh rosemary, Chicken:, 1 tablespoon olive oil, 6 chicken drumsticks (about 1 1/2 pounds), skinned, 6 chicken thighs (about 1 1/2 pounds), skinned, 2 teaspoons chopped fresh rosemary, 1 teaspoon freshly ground black pepper, 3/4 teaspoon salt, Cooking spray, Fresh rosemary leaves (optional)
Solution: | seedless red grapes, olive oil, onion, garlic, balsamic vinegar, soy sauce, brown sugar, rosemary, Chicken, olive oil, chicken, chicken, fresh rosemary, freshly ground black pepper, salt, Cooking spray, rosemary | 0 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
-0.061237238347530365,
-0.16361895203590393,
-0.3243693709373474,
0.4900383949279785,
0.01758863776922226,
-0.6614357233047485,
0.8810958862304688,
1.3869431018829346,
-0.47096240520477295,
-0.054107293486595154,
0.13685151934623718,
-0.058301206678152084,
-0.33793359994888306,
0.191763877... |
Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
[Q]: El tejido del espacio-tiempo está distorsionado alrededor de un agujero negro giratorio.
[A]: El tejido del espacio - capacidad se distorsiona alrededor de un agujero negro que gira.
[Q]: Pararías porque quieres estar cerca de un compañero de entrenamiento.
[A]: Bailarías porque quieres estar cerca de una pareja de baile.
[Q]: Es probable que usted pinte una pierna alrededor de la parte inferior.
[A]: | Es probable que encuentres una serpiente posiblemente en el suelo.
| 5 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.38580381870269775,
0.9614951610565186,
0.2529841363430023,
-0.4209679365158081,
0.05982515215873718,
-0.37891852855682373,
0.12332913279533386,
1.4555250406265259,
-0.3658912777900696,
-0.3627694845199585,
-0.50845867395401,
0.33066943287849426,
-0.7837996482849121,
0.4453372359275818,
... |
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 statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "False" if the explanation disproves the statement. The statement and explanation are separated by a newline character.
A popular RCA Records artist who has many hit songs is Kesha.
Kesha is a musicians from Nashville, Tennessee
Solution: True
Why? although the explanation doesn't prove the statement completely, it doesn't disprove it either.
New input: Despite lackluster reviews, Indiana Jones and the Kingdom of the Crystal Skull performed well at the box office, earning $790.7 million.
The box office figures are accurate and indicate that the film was a success even given its lukewarm critical reception.
Solution: | True | 0 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
-0.004562485963106155,
0.8575830459594727,
-0.47434914112091064,
0.2898951768875122,
-0.2715533971786499,
-0.6194266080856323,
0.2563335597515106,
0.45353472232818604,
-0.2612091898918152,
-0.14559991657733917,
-0.12737569212913513,
-0.31885063648223877,
-0.00020381971262395382,
0.18892377... |
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. Generate your answer using the number of sentences in the correct order, such as '23415'.
--------
Question: Sentence1: Rae's family sat down for Sunday lunch. Sentence2: Rae went to fetch a broom. Sentence3: Rae's stepfather yelled and threw his plate across the room. Sentence4: Rae watched the plate shatter into a million pieces. Sentence5: Rae's brother accidentally spilled his drink.
Answer: 15342
Question: Sentence1: I was so upset because I had totally forgotten! Sentence2: I was worried about my grade. Sentence3: A few days later, my classmate messaged me to ask if I had done it. Sentence4: My professor assigned my class an essay. Sentence5: By the time I left the classroom, I had forgotten about it.
Answer: 45312
Question: Sentence1: She wrote a song about it to memorize the material more easily. Sentence2: She has a test next week about Photosynthesis. Sentence3: Her song helped her and she then did well. Sentence4: Amy is enrolled in an advanced Plant Biology course. Sentence5: The information is complex and in depth.
Answer: | 42513
| 7 | NIv2 | task300_storycloze_order_generation | fs_opt | [
0.1504293978214264,
0.06151854991912842,
-0.659760057926178,
-0.13393950462341309,
-0.055147334933280945,
-0.8052958250045776,
0.5192795395851135,
0.7448710203170776,
-0.49680936336517334,
0.16411557793617249,
-0.38939014077186584,
-0.39537951350212097,
-0.7536510825157166,
0.2793132960796... |
Detailed Instructions: 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.
Q: Historisch gut recherchiert, aber... . ...als Roman sehr langweilig zu lesen. Wie schon vor mir vielmals beschrieben, bemängel auch ich die Oberflächlichkeit mit der Personen beschrieben werden. Man kann keinen Bezug zu ihnen aufbauen, ja manchmal fehlt selbst eine äusserliche Beschreibung, was es einem schwer macht, sich die Personen vor dem inneren Auge vorzustellen. Auch der Hauptperson, Ymme, kommt man nicht sehr nahe. Ihre Gefühle und Empfindungen werden auch sehr oberflächlich abgehandelt und sie bleibt einem bis zum Schluß irgendwie fremd. Es bleiben viele Fragen offen, so werden zum Beispiel verschiedene Handlungen einfach nicht zu Ende geführt. Ich musste micht teilweise zwingen weiter zu lesen, da die fehlenden Emotionen und Beschreibungen mein Interesse an der Geschichte schnell abflauen ließen. Sehr deutlich werden hingegen die damaligen Zustände und die Grausamkeit der Kreuzzüge vermittelt. Dafür gebe ich die 2 Sterne.
A: | NEG | 9 | NIv2 | task479_cls_german_books_classification | zs_opt | [
-0.09247341752052307,
-0.1845022737979889,
0.1552615761756897,
-0.32008489966392517,
0.836708664894104,
-0.664440393447876,
1.593677043914795,
1.3235318660736084,
-0.11599256098270416,
0.14715254306793213,
-0.5582204461097717,
-0.3338571786880493,
-0.41056421399116516,
0.10596071928739548,... |
The provided file includes inquiries about restaurants in Polish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
--------
Question: znajdź " italian " restauracje z co najmniej 5 recenzjami .
Answer: find " italian " restaurants with at least 5 reviews .
Question: pokaż najwyżej oceniany " coffee " lokal w promieniu 10 mil .
Answer: show highest rated " coffee " shop withing 10 miles .
Question: pokaż mi restauracje mające ponad 4 opublikowanych ocen.
Answer: | show me restaurants with more than 4 posted reviews .
| 7 | NIv2 | task263_spl_translation_pl_en | fs_opt | [
-0.432094931602478,
0.8203707933425903,
0.35347095131874084,
0.1425330638885498,
0.022482195869088173,
-0.3689402639865875,
0.7449043989181519,
0.124052032828331,
-0.34230199456214905,
-0.28308770060539246,
0.6987290382385254,
0.4060126841068268,
-0.45663022994995117,
0.6675612926483154,
... |
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 presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
نسبت .... به باران ، مثل دلتنگی است به .........؟ <sep> (A) ابر ، آسمان (B) ابر ، گریه (C) برف ، غصه (D) زمستان ، گریه
Solution: B
Why? This is a good example, and the answer is correct.
New input: در جای خالی کدام گزینه را میتوان نوشت؟ ............ به مدرسه رفتند. <sep> (A) من و دوستانم (B) علی و سینا (C) سعید و من (D) تو و دوستانت
Solution: | B | 0 | NIv2 | task473_parsinlu_mc_classification | fs_opt | [
-0.2983351945877075,
0.5241772532463074,
-0.2621437609195709,
0.027400124818086624,
-0.43311503529548645,
0.4268060326576233,
1.2448409795761108,
0.285343199968338,
0.36495232582092285,
-0.06085284426808357,
-0.3483974039554596,
-0.15669959783554077,
0.16576699912548065,
0.4541439712047577... |
Detailed Instructions: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Problem:Beginning: Merida had long red hair that she never combed or tied up. Middle 1: Merida decided she wanted to take care of her hair. Middle 2: Merida decided she wanted to cut her hair. Ending: Now she wears her hair in a bun or a ponytail.
Solution: | 2 | 8 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
-0.5884214639663696,
0.7193284034729004,
0.12094950675964355,
-0.5828443765640259,
-0.9863104820251465,
0.07260137796401978,
0.4007640480995178,
1.0327930450439453,
0.1818883717060089,
-0.29838475584983826,
-0.8446693420410156,
-0.12608173489570618,
-0.07818193733692169,
-0.173818618059158... |
You will be given a definition of a task first, then some input of the task.
You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit; (c) it does not contain three repeating characters in a row. In one step you can: (1) Insert one character to password, (2) delete one character from password, or (3) replace one character of password with another character.
password = sSOvpEMFS!Hq0TMAyz1P7zhu!CXQtf!QFEI1
Output: | 16 | 1 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.4279540777206421,
1.1154389381408691,
-0.09568431973457336,
-0.7135146856307983,
0.019978322088718414,
-0.33059704303741455,
1.2424540519714355,
-0.08509644120931625,
0.3831745386123657,
-0.6883554458618164,
0.1385609209537506,
-0.09632037580013275,
-0.8276574611663818,
-0.42524257302284... |
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Context: To explore the impact of titanium implant on the growth and development of pediatric mandible after suffering from mandibular fracture and undergoing open reduction and internal fixation (ORIF) compared with those that underwent titanium plate removal postoperatively.', "Fifteen pediatric patients with mandibular fracture who underwent ORIF were included in this study. Eight patients did not undergo titanium implant removal postoperatively, whereas the other seven patients underwent the routine. The postoperative data of the pediatrics were collected for comparative analysis by taking the patients' frontal and lateral photos, recording the inter-incisor distance, and measuring the height of mandibular ramus, length of the mandibular body, and combined length of the mandible in three-dimensional reconstruction image.", 'All patients had acceptable facial contour, mouth opening, and occlusion, without obvious abnormalities. The radiography showed no significant difference between the bilateral mandibular lengths in the two groups of patients (P>0.05).\Question: Do [ Long-term follow-up study of titanium implant impact on pediatric mandibular growth and development ]? | The titanium plants have no significant impact on the growth and development of pediatric mandible postoperatively; hence, the question on whether the titanium plates should be removed or not may be neglected. The removal operation may lead to secondary trauma; thus, performing titanium plate removal routinely is not recommended. | 0 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.40920016169548035,
0.3029283285140991,
-0.26344865560531616,
-0.10180789232254028,
0.039205748587846756,
-0.16063106060028076,
0.5121651887893677,
0.8228191137313843,
0.528318464756012,
0.39110177755355835,
0.08842025697231293,
-0.3471393585205078,
-0.7404968738555908,
0.2298868298530578... |
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
[EX Q]: Rattlesnakes breed only every ____ to three years.
[EX A]: two
[EX Q]: Most children start primary school at ____ years of age.
[EX A]: five
[EX Q]: Some infectious diseases have ____ treatments that work well.
[EX A]: | no
| 6 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.6490005850791931,
0.7193604707717896,
-0.0972345769405365,
-0.4994361400604248,
-0.10092848539352417,
-0.464729368686676,
0.5409716963768005,
0.4778834581375122,
-0.38865411281585693,
-0.010422885417938232,
0.16530603170394897,
0.3597148656845093,
-0.9434561729431152,
-0.266569197177886... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
In verità per vivere, mi occupo di filosofia dell'arte, estetica.
Practico la filosofía del arte, de la estética, de hecho, para ganarme la vida.
non ha avuto l'impatto che queste altre aziende hanno avuto.
No ha tenido el impacto que han tenido estas otras empresas.
Stampammo in 3D i nostri canali per poter controllare il flusso di queste colture batteriche liquide.
| Imprimimos nuestros propios canales 3D para controlar el flujo de estos cultivos bacterianos líquidos.
| 0 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-1.4394537210464478,
0.30781275033950806,
0.14373862743377686,
-0.621610701084137,
-0.6657719612121582,
-0.6210538148880005,
-0.5346226692199707,
1.1793560981750488,
0.12146329134702682,
-0.5352622270584106,
0.0932251438498497,
0.7472161650657654,
0.064255490899086,
-0.2675820589065552,
... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
One example is below.
Q: ['238', 'h', '92', 'U', '2799']
A: 1, 3, 5
Rationale: Here, the numerical elements in the input list are '238', '92' and '2799' and they are at positions '1', '3', and '5', respectively.
Q: ['3569', '8711', '8201', 'Z', 'J', '1597', 'k', '5205', '9471', 'H', '225', '8395', '3639', 'p', 'L', 'J', 'C', '2961', '3565', 'k', 'O', 'j', '5025', '6185', '5147', 'D', '5153', 'o', 'X', 'L', '2459', '8899']
A: | 1, 2, 3, 6, 8, 9, 11, 12, 13, 18, 19, 23, 24, 25, 27, 31, 32 | 9 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.07047511637210846,
0.18286269903182983,
-0.3843596577644348,
-0.39672204852104187,
0.12307596206665039,
-0.3643689751625061,
0.7684681415557861,
0.27180272340774536,
-0.7469388246536255,
0.33210915327072144,
-0.7173165082931519,
-0.2863892912864685,
-0.07492386549711227,
0.0439987555146... |
You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.
Q: User: I\'m looking for information on Volvo cars and trucks.
Computer: do you need information about a volvo dealership
A: | no where can i buy volvo parts online | 4 | NIv2 | task1714_convai3_sentence_generation | zs_opt | [
0.017596615478396416,
0.13440752029418945,
-0.21244633197784424,
0.276478111743927,
-0.2666708827018738,
0.1379643678665161,
0.9222497344017029,
0.5721807479858398,
0.823782742023468,
0.07958265393972397,
0.01314595714211464,
-0.5658566951751709,
-0.1426207274198532,
0.6428796648979187,
... |
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
Let me give you an example: Tracy slept awkwardly on their new bed and was having some pain, so Tracy cracked her neck.
Question: What did Tracy do with her neck?
The answer to this example can be: crack her neck
Here is why: The output phrase perfectly answers the question and is explicitly mentioned in the passage as well.
OK. solve this:
I haven't blogged much about The Girls since we got them . All my worries about them being hard to look after and escaping have been pretty much unfounded . They're quiet , reasonably clean , like to talk ten to the dozen and take themselves back to their coop at the end of the day without a murmur .
Question: What may be your reason for blogging about the girls ?
Answer: | They exceeded my expectations . | 8 | NIv2 | task595_mocha_answer_generation | fs_opt | [
-0.5669158697128296,
0.09921853244304657,
0.3219972252845764,
0.07680164277553558,
0.0718393474817276,
-1.192131519317627,
0.22365829348564148,
0.25779953598976135,
-0.07938188314437866,
0.13527409732341766,
-0.48207980394363403,
-0.03558230400085449,
-0.6517871618270874,
0.077195398509502... |
Teacher:Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: 最初の襲撃の報告から数日後、イスラエル当局はパレスチナ与党ハマスに誘拐され日曜に後頭部を撃たれた18歳のエリヤフ・イツハーク・アシェリの遺体が発見されたと語った。
Student: | ជាច្រើនថ្ងៃបន្ទាប់ពីរបាយការណ៍ឆ្មក់ដំបូងពីមន្ត្រីអ៊ីស្រាអ៊ែល បានរាយការណ័ថា ពួកគេបានរកឃើញសាកសពឈ្មោះ Eliyahu Yitzhak Asheriអាយុ18ឆ្នាំ ដែលត្រូវបានគេចាប់ជំរិតដោយក្រុមកាន់អំណាច ហាម៉ាស់ របស់ប៉ាលេស្ទីន ហើយក្មេងនេះត្រូវបានបាញ់ចំពីក្រោយក្បាលកាលពីថ្ងៃអាទិត្យ។ | 6 | NIv2 | task1121_alt_ja_khm_translation | zs_opt | [
0.5858092308044434,
-0.24982932209968567,
0.05805714800953865,
-0.5118077397346497,
-0.41308432817459106,
-0.9182360768318176,
1.294384479522705,
0.07483156025409698,
-0.04576469957828522,
0.23563504219055176,
-0.8561803102493286,
0.550064742565155,
-1.3166273832321167,
0.6036356091499329,... |
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'.
Q: Problem: a person can swim in still water at 12 km / h . if the speed of water 10 km / h , how many hours will the man take to swim back against the current for 8 km ?
Options: a ) 4 , b ) 7 , c ) 5 , d ) 9 , e ) 6
A: | a | 4 | NIv2 | task1422_mathqa_physics | zs_opt | [
0.254508376121521,
0.37563249468803406,
-0.2197011411190033,
-0.7130168676376343,
-0.332142174243927,
-0.47941213846206665,
-0.2450382113456726,
0.12494255602359772,
-0.5958290696144104,
-0.15507066249847412,
-0.7774592638015747,
0.1263664960861206,
-0.11972825229167938,
-0.486775040626525... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: The cleaner called the guard because she forgot to bring her key.
Profession: cleaner
Solution: Identifiable
Reason: The cleaner's gender is identifiable because the pronoun "she" is linked to the cleaner.
Now, solve this instance: Sentence: The construction worker helped the receptionist and got a present from her.
Profession: receptionist
Student: | Identifiable | 2 | NIv2 | task350_winomt_classification_gender_identifiability_pro | fs_opt | [
-0.8530489802360535,
0.7466601133346558,
-0.34044790267944336,
-0.79264235496521,
0.0006330929463729262,
-0.449099063873291,
-0.10585931688547134,
0.9915105104446411,
0.8813819289207458,
0.07995036244392395,
-0.7100715041160583,
0.22754745185375214,
-0.17417530715465546,
-0.604157328605651... |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
--------
Question: (SV) Obviamente mi idea es que el mainstreaming debe estar presente en todo lo que hacemos.
Answer: (SV) My understanding of mainstreaming is, of course, that this should characterise everything we do.
Question: Las actuaciones diseminadas no son eficaces.
Answer: Disparate actions are not effective.
Question: Estas regiones deben poder beneficiarse plenamente de Interreg III, al igual que el conjunto de las demás regiones de la Unión, ahora que el programa REGIS, que les estaba destinado, ha sido abandonado.
Answer: | It is essential for these regions to be able to benefit fully from INTERREG III, just like all the other regions in the Union, especially now that the REGIS programme dedicated to such isolated regions has been dropped.
| 7 | NIv2 | task531_europarl_es_en_translation | fs_opt | [
-0.04116487875580788,
0.7011175155639648,
0.28025487065315247,
-0.7903900742530823,
-0.040947988629341125,
-0.7192732691764832,
0.939150869846344,
0.5914450883865356,
0.037284206598997116,
-0.21379974484443665,
-0.12341263890266418,
0.19437310099601746,
-0.8569880723953247,
-0.282152980566... |
Q: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in order, such as '34' or '25'. The first digit refers to the sentence which should come first in the story.
Title: Dunking. Sentence 1: He went for a lay up and jumped high enough to dunk. Sentence 2: Drew went to play basketball with his friends. Sentence 3: Drew was shocked because he had never dunked before. Sentence 4: Drew smiled triumphantly, but everyone else started to laugh. Sentence 5: They had lowered the rim by a foot prior to playing.
A: | 21 | 7 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.6174284815788269,
0.4297490119934082,
0.20849576592445374,
-0.9035049676895142,
-0.028990384191274643,
0.11530358344316483,
0.5205682516098022,
0.3412676155567169,
-0.029263053089380264,
-0.25189584493637085,
-0.8062593340873718,
0.1151297390460968,
-1.0843117237091064,
-0.1964370310306... |
You will be given a definition of a task first, then some input of the task.
A text is given in Tamil. Translate it from the Tamil language to the Urdu language. The translation must not omit or add information to the original sentence.
عورتوں کے خلاف صنفی امتیاز ختم کرنے کے لئے عورتوں اور بچوں کی ترقی کی وزارت کاآن لائن مہم آئی ایم دیٹ وومن کا آغاز
Output: | பெண்களுக்கு எதிரான பாலின பாகுபாட்டை களையும் புதிய முயற்சியாக, ‘நான்தான் அந்தப் பெண்’ எனப்படும் (IamThatWoman) இணையவழி முழக்கத்தை மகளிர் மற்றும் குழந்தைகள் மேம்பாட்டு அமைச்சகம் தொடங்கியுள்ளது | 1 | NIv2 | task1036_pib_translation_urdu_tamil | zs_opt | [
-0.8236159086227417,
0.7624781727790833,
-0.41623401641845703,
-0.5686267018318176,
-0.6313216686248779,
-0.0886065661907196,
0.6211032867431641,
0.572076678276062,
0.4485405683517456,
0.1313936412334442,
0.004610784351825714,
0.44210898876190186,
-0.620046854019165,
0.114718496799469,
-... |
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Ex Input:
Event:PersonX eats ___ anymore. Intent: 1) the mess to be cleaned up
Ex Output:
Positive
Ex Input:
Event:PersonX continues PersonX's studies. Intent: 1) to improve
Ex Output:
Positive
Ex Input:
Event:PersonX seems larger and heavier. Intent: 1) to exercise his own rights 2) to be free
Ex Output:
| Unknown
| 1 | NIv2 | task923_event2mind_classifier | fs_opt | [
-0.8672990202903748,
-0.10725358128547668,
0.21487651765346527,
-0.41879087686538696,
-0.4618414044380188,
-0.6668190956115723,
0.8287720680236816,
0.4787275195121765,
-0.00300616561435163,
-0.02788594365119934,
0.19634371995925903,
-0.11120115220546722,
-0.5687984824180603,
-0.21424829959... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Example: وأعتقد أنه في القريب سوف ترى المرضى يعالجون بواسطة خلاياهم الجذعية المستخرجة من الدهون أو المستخرجة من الحيوانات
Output: Penso che abbastanza presto vedrete pazienti curati con le cellule staminali derivanti dal proprio grasso o adipe.
The Arabic sentence is correctly translated into Italian, because the meaning is preserved.
New input case for you: هناك الكثير من الناس الذين يظنون أن الطب ذا التكنولوجيا العالية سيحميهم ، سينقذهم ، من الإفراط في تناول الطعام ، من تناول الكثير من المأكولات السريعة ، من عدم ممارسة أي نشاط.
Output: | Ci sono troppe persone che pensano che la medicina altamente tecnologica andrà a trattenerli, risparmiarli, dagli eccessi alimentari, dal mangiare molti cibi fast food dal non fare alcun esercizio. | 1 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.6075281500816345,
0.7234625220298767,
-0.30874332785606384,
-0.2960166335105896,
-0.41019684076309204,
-0.12164212763309479,
0.5484649538993835,
1.1883972883224487,
0.12210090458393097,
-0.175065279006958,
-0.5624632835388184,
0.417743980884552,
-0.4524482190608978,
0.3423028290271759,
... |
Part 1. Definition
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 coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Part 2. Example
Sentence: `` Then I return to the United States for engagements at the Hollywood Bowl and in Philadelphia '' , he added {{ . }}
Word: .
Answer: .
Explanation: '--' is assigned the period (.) symbol since it denotes a separation.
Part 3. Exercise
Sentence: He thought about it for a {{ minute }} , could find no reasonable explanation for the presence of a sweater in the refrigerator , got the salami , bread , and a Bermuda onion , and put the whole thing out of his mind .
Word: minute
Answer: | NOUN | 7 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.5918545722961426,
0.223170667886734,
-0.32648587226867676,
0.32580703496932983,
0.04338839650154114,
-0.3767181932926178,
0.7587506771087646,
0.6792178153991699,
-0.3980659246444702,
-0.10035525262355804,
-0.4730759561061859,
0.37473297119140625,
-0.569780707359314,
0.310165137052536,
... |
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 English.
第一にキリバス共和国が彼ら自身の利益になると理解したからです
Solution: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
Why? The Japanese sentence is correctly translated into English, because the meaning is preserved.
New input: 両者は相容れないのです
Solution: | They don't really do well together. | 0 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
0.6014809608459473,
0.435386061668396,
0.17211399972438812,
-0.24383188784122467,
-0.25478529930114746,
-0.3017106354236603,
1.1502012014389038,
-0.48472359776496887,
0.5407626628875732,
-0.2809457778930664,
-0.24141278862953186,
-0.1961309313774109,
-0.7365080118179321,
0.5062075257301331... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as taboo in polite usage.
Example: Comment: Damn! Another cloudy day, and it's all Obama's doing!
Example solution: Obscene
Example explanation: This is obscenity because it hints on sexual content that is offensive to the public sense of decency.
Problem: Comment: It does not make him better person though, he is crooked and corrupt anyway
| Solution: Non-obscene | 5 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
-0.6509801149368286,
0.05521627515554428,
0.8347448706626892,
0.3117363452911377,
0.4115028381347656,
-0.41878214478492737,
-0.10805106163024902,
0.7377670407295227,
0.09043200314044952,
0.5909679532051086,
0.017459120601415634,
-0.13164249062538147,
-0.02769160270690918,
-1.24373674392700... |
Detailed Instructions: In this task, you will be given two sentences sentence1 and sentence2. You should decide whether the second sentence is entailed(agreed) by the first sentence. If it does entail, answer "yes", else answer "no".
See one example below:
Problem: sentence1:region is nation in location
sentence2:region is country in location
Solution: yes
Explanation: A nation is a community of people of similar characteristics/descent with a common government. A country is a region sharing a common government. Hence, a nation can be defined as a country.
Problem: sentence1:organization_founder is going to war against region sentence1:organization_founder is declaring war on region
Solution: | yes | 4 | NIv2 | task970_sherliic_causal_relationship | fs_opt | [
-0.1402101218700409,
0.48791706562042236,
0.42748573422431946,
-0.4282803535461426,
-0.2632157504558563,
-0.3802117705345154,
0.7041287422180176,
0.43113332986831665,
-0.05431921407580376,
-0.18947091698646545,
-0.6937904357910156,
-0.32354462146759033,
-0.420793354511261,
-0.1867158114910... |
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 multiple aspects in a review, we only need you to write one aspect.
Q: از نظر طعم و رنگ هیچ تفاوتی با تخم مرغ معمولی نداره فقط اونجور ک میگن خواص خیلی بیشتری داره.و اینکه شکستنش یه قلق خاصی داره ک یجوری بشکنی پوسته هاش نریزه.و اینکه به نظرم ۶تاش تازه شاید بشه یه تخم مرغ ریز
A: | طعم | 4 | NIv2 | task529_parsinlu_food_aspect_detection | zs_opt | [
-0.3213173747062683,
0.5160212516784668,
0.4890598952770233,
0.07601708173751831,
-0.28378286957740784,
0.5338654518127441,
0.5862550735473633,
0.5619484782218933,
-0.21327197551727295,
-0.06451792269945145,
-0.29051074385643005,
0.40732091665267944,
-0.7114050388336182,
0.8432722091674805... |
Detailed Instructions: You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
See one example below:
Problem: CONTEXT: La historia de Japón (日本の歴史 o 日本史, Nihon no rekishi / Nihonshi?) es la sucesión de hechos acontecidos dentro del archipiélago japonés. Algunos de estos hechos aparecen aislados e influenciados por la naturaleza geográfica de Japón como nación insular, en tanto que otra serie de hechos, obedece a influencias foráneas como en el caso del Imperio chino, el cual definió su idioma, su escritura y, también, su cultura política. Asimismo, otra de las influencias foráneas fue la de origen occidental, lo que convirtió al país en una nación industrial, ejerciendo con ello una esfera de influencia y una expansión territorial sobre el área del Pacífico. No obstante, dicho expansionismo se detuvo tras la Segunda Guerra Mundial y el país se posicionó en un esquema de nación industrial con vínculos a su tradición cultural.
QUESTION: ¿Cuándo se detuvo el expansionismo de Japón?
Solution: tras la Segunda Guerra Mundial
Explanation: The answer is more than 3 words and it is taken from the context provided. Also, the answer is precise indicating the time without duration as mentioned in the context.
Problem: CONTEXT: 17 de febrero de 2009 El equipo de fútbol Universidad de Concepción se convirtió en el campeón de la Copa Chile 2008, tras derrotar en la final al equipo de Deportes Ovalle. El encuentro se disputó en el Estadio Francisco Sánchez Rumoroso de la cuidad de Coquimbo. El encuentro fue bastante peculiar, ya que se enfrentaban dos equipos que corrían dispar suerte durante el torneo: Universidad de Concepción llegaba tras derrotar a todos los equipos en el tiempo regular y siempre por ventaja de 1 gol, mientras que Ovalle llegaba a esta instancia tras derrotar a todos los equipos mediante los lanzamientos penales. Otra particularidad fue la categoría en que juegan los equipos, ya que Ovalle es un equipo de la Tercera División del fútbol chileno, y tuvo la fortuna de derrotar al campeón vigente de la Primera División, Colo-Colo. El partido fue bastante intenso para ambos equipos, siendo el equipo ovallino quien abrió el marcador a los 5 minutos del primer tiempo, pero 10 minutos más tarde Universidad de Concepción igualó el marcador hasta el minuto 10 del segundo tiempo donde el equipo universitario desequilibró definitivamente el partido a su favor. Con esta victoria, el equipo universitario alcanzó el primer torneo nacional y logró la mitad de un cupo para la Copa Sudamericana 2009, con quien deberá disputar un encuentro definitorio contra el equipo que logre el segundo lugar en el Torneo de Apertura, y Ovalle se lleva el reconocimiento del público por ser un equipo Sub-23, según el reglamento de la Asociación Nacional de Fútbol Profesional para las competiciones de la Tercera División.
QUESTION: Dónde se jugó el partido entre el Universidad de Concepción y el Deportes Ovalle?
Solution: | el Estadio Francisco Sánchez Rumoroso de la cuidad de Coquimbo | 4 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
0.20401747524738312,
-0.10908254981040955,
-0.6420987844467163,
-0.10391177237033844,
0.2702080011367798,
-0.4207468032836914,
0.715832531452179,
0.8145783543586731,
-0.4536615014076233,
-0.2709733843803406,
-0.11052808910608292,
0.8218013048171997,
-0.655822217464447,
0.34321048855781555,... |
Q: In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the beginning, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Middle: Quentin worked hard to release his upcoming movie. Ending: Quentin's latest movie is up for many awards.
A: | Quentin loved making moving pictures. | 7 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
-0.3473603129386902,
1.0117979049682617,
0.1457342505455017,
-0.3663558065891266,
-0.18997922539710999,
0.12505841255187988,
0.6019158959388733,
0.38767874240875244,
-0.22586838901042938,
-0.17865195870399475,
-0.23277238011360168,
0.40589675307273865,
-0.594828724861145,
-0.04947277903556... |
TASK DEFINITION: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
PROBLEM: jump left twice after turn right twice
SOLUTION: I_TURN_RIGHT I_TURN_RIGHT I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP
PROBLEM: turn around right thrice after run opposite left thrice
SOLUTION: I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT
PROBLEM: walk around left twice after look around left twice
SOLUTION: | I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK
| 8 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.4222221374511719,
0.3484356105327606,
-0.414017915725708,
0.29765307903289795,
-0.08180201053619385,
0.38193702697753906,
0.38071155548095703,
0.5741978883743286,
-0.28138184547424316,
-0.09255532920360565,
-0.7693338394165039,
0.106013223528862,
-0.5175131559371948,
0.06496377289295197,... |
Given the task definition and input, reply with output. This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning types are illustrated in the 'positive examples' field) and also have a variety of answer types (spans, numbers, dates). A span is a continuous phrase taken directly from the passage or question. In such questions, the answer spans are recommended to be five words. Questions with answer type "number", are expected to start with "How many". For instance, "How long did an event last?" can be phrased as "How many years did an event last?". To increase diversity, try to create more questions for which the answer will be multiple spans. Please create questions that require AT LEAST 2 arithmetic operations as illustrated in the 'positive examples' field. You are encouraged to try DIFFERENT COMBINATIONS of operations and not just limit to the combinations shown in those examples. The more challenging questions you create, the better it is.
Passage: at Bank of America Stadium, Charlotte, North Carolina The Falcons opened the regular season on the road against the Carolina Panthers on September 10. Even though the Panthers scored first, with opposing kicker John Kasay getting a 54-yard field goal, the Falcons responded with a field goal of their own, as kicker Michael Koenen booted a 25-yarder. In the second quarter, the Falcons unleashed their best, as Koenen got a 32-yard field goal and QB Michael Vick completed a 34-yard pass to WR Michael Jenkins. The Panthers tried to respond in the third quarter with Kasay kicking a 46-yard field goal, but Vick and the Falcons put the game away with a 1-yard TD pass to TE Alge Crumpler. Other than Vick having a good game, Warrick Dunn contributed with 132 rushing yards, while Atlanta's newest member, defensive end John Abraham, had 5 tackles, 2 sacks and two forced fumbles.
| How long were each of Michael Vick's TD passes? | 5 | NIv2 | task026_drop_question_generation | zs_opt | [
0.5848209857940674,
0.33883965015411377,
-0.7166541814804077,
0.6174936890602112,
-0.2938273847103119,
0.03407522663474083,
0.2415471225976944,
0.5493930578231812,
0.30035606026649475,
-0.1343761831521988,
-0.7061483860015869,
0.5823924541473389,
-0.9432810544967651,
0.49038296937942505,
... |
Given the task definition and input, reply with output. This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
you ca n't say that civilization do n't advance , however , for in every war they kill you in a new way - will rogers
| you ca n't deny that civilization is going forward , you will be killed in a new way in every new war | 5 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
-0.8336703777313232,
0.9938302040100098,
0.40535521507263184,
-0.1386142522096634,
-0.2856162190437317,
-0.5466063618659973,
0.5363256931304932,
0.29541802406311035,
-0.017817817628383636,
-0.6391209959983826,
-0.24922320246696472,
-0.4823830723762512,
-0.12291219085454941,
0.1624180972576... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Q: アポロに費やされた１ドル毎に対して14ドルが米国経済に還元されたとの結果が出ました
A: | And it showed that for every $1 spent on Apollo, 14 came back into the U.S. economy. | 4 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
0.6350877285003662,
-0.14119446277618408,
0.013086318969726562,
0.22571012377738953,
-0.8265334367752075,
-0.6269410252571106,
0.08891187608242035,
0.22505876421928406,
0.3007056415081024,
-1.065946340560913,
0.43448367714881897,
0.14753782749176025,
0.19016709923744202,
-0.455813020467758... |
You will be given a definition of a task first, then some input of the task.
You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
While I have not purchased this from Amazon I have used it for many years. It makes a super layer for, my version, of Zuppa Engelesia and mixed with cream can be incorporated for Pate Choux. I don't live in Hollywood any more so it is getting more difficult and thanks to Amazon I find it it available and in larger cans......... I plan to order soon. Gino Rossi Mangia con passione chef/caterer
Polarity: Negative
Output: | False | 1 | NIv2 | task587_amazonfood_polarity_correction_classification | zs_opt | [
-0.06256271153688431,
-0.13101696968078613,
0.727872371673584,
-0.15890909731388092,
0.07668104022741318,
0.3178347945213318,
1.2547118663787842,
0.09936916828155518,
-0.0942736268043518,
-0.11213842034339905,
-0.0018644641386345029,
-0.36710405349731445,
-0.7686970233917236,
0.04301063716... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Ex Input:
['p', 'Z', 'Z', 5929, 7441, 'g', 7897, 'p', 4341, 'F', 'c', 'i', '1227', 'p', '6197', 'M', '3549', 'G', '11', '7667', 'T', '7819', 'T', '8965', '4725', 'R', 'Q', '4873', '4701', 'F', 2669, 3809, 645, 6921, 'R', 9767, 'h', 'J', 7893, 'h'], [937, 'a', 'i', '1227', 'p', '6197', 'M', '3549', 'G', '11', '7667', 'T', '7819', 'T', '8965', '4725', 'R', 'Q', '4873', '4701', 'Z', 'q', 'u', 6333, 5793, 'a', 783, 'K', 'R']
Ex Output:
i, 1227, p, 6197, M, 3549, G, 11, 7667, T, 7819, T, 8965, 4725, R, Q, 4873, 4701
Ex Input:
[3937, 'R', 'H', '3517', '1845', 'Y', '8999', '7003', '6677', '8517', 'k', 'W', '5321', '5817', 's', '271', '4109', 'o', 5471, 's', 8751, 2307, 4959, 2645, 7227, 3355, 'Z', 'c', 'D', 1155, 'W', 'T'], ['V', 'B', 'z', 2111, 'H', '3517', '1845', 'Y', '8999', '7003', '6677', '8517', 'k', 'W', '5321', '5817', 's', '271', '4109', 'b', 8675, 9843, 'v', 'n']
Ex Output:
H, 3517, 1845, Y, 8999, 7003, 6677, 8517, k, W, 5321, 5817, s, 271, 4109
Ex Input:
[2289, 'S', 6827, 'a', 'b', 1847, 3653, 'f', 'J', 'i', 4419, 'g', 7765, 's', 'm', 'c', 'Z', 'U', 'B', '6151', '7811', '7321', 'M', 'J', '4405', 'y', 'F', 'L', 'A', 'U', 'p', 'v', 5517, 7173, 4355, 3949, 'G', 'w'], [5369, 'a', 7601, 103, 'w', 'K', 'i', 7227, 4179, 8105, 4099, 'v', 6725, 's', 'm', 'c', 'Z', 'U', 'B', '6151', '7811', '7321', 'M', 'J', '4405', 'y', 'P', 'I', 'v', 'A', 6441]
Ex Output:
| s, m, c, Z, U, B, 6151, 7811, 7321, M, J, 4405, y
| 1 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
-0.39944154024124146,
0.06579947471618652,
-0.1422351896762848,
-0.24670670926570892,
-0.12754908204078674,
-0.11398486793041229,
0.8527315855026245,
0.7005318403244019,
-0.5796366930007935,
0.24684078991413116,
-0.776198148727417,
0.2733366787433624,
-0.286450058221817,
0.3759166598320007... |
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 two classes: personal or non-personal depending on the topic.
[EX Q]: কাম হল একটা রাজস গুন , কিন্তু তুই ছিনাল এগুলো বুঝলে তো , পানের থেকে চুল খসলেই গালি ই দিতে জানিস , তুই আর একটা বলদ এর মধ্য কোনো তফাৎ নেই
[EX A]: personal
[EX Q]: বাঙালী মেয়ে টিউলিপ এর অশালীন পোশাক ব্রিট্রিশ পোশাককেও হার মানিয়েছে
[EX A]: non-personal
[EX Q]: হিন্দু যতো দিন খালি নিজের সারথের কথা ভাববে ততোদিন হিন্দু দের ওপর অতাচার হবেসালা একটি আতকবাদী ধর্ম
[EX A]: | personal
| 6 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.5744732618331909,
-0.16560764610767365,
0.326416939496994,
0.39635002613067627,
-0.24060973525047302,
-0.7976706027984619,
-0.09696146845817566,
0.5336605310440063,
-0.4773057997226715,
-0.02680346742272377,
-0.5359392166137695,
-0.13120058178901672,
-0.379180908203125,
-0.6754319667816... |
Detailed Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Tamil language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: നരേന്ദ്ര മോദി നാളെ (ഡിസംബര് 27, 2018) ഹിമാചല് പ്രദേശ് സന്ദര്ശിക്കും
Solution: நரேந்திர மோடி (டிசம்பர் 27 மற்றும் 2018) நாளை பிரதேசத்தை சந்திப்பார்
Explanation: Correct translation for given sentence. Input sentence means 'Narendra Modi (December 27 and 2018) will meet Pradesh tomorrow' which is the same as the output sentence.
Problem: നയപരമായ മുന്കൈകള്, വികസനത്തിനുള്ള സമഗ്ര സമീപനം, നവീന ആശയങ്ങളോടും സാങ്കേതിക വിദ്യകളോടുമുള്ള ഉത്സാഹം എന്നിവ അദ്ദേഹം ചൂണ്ടിക്കാട്ടി.
Solution: | கொள்கை முன்முயற்சிகள், வளர்ச்சிக்கு முழுமையான அணுகுமுறைகள், புதிய கண்டுபிடிப்பு உணர்வு, தொழில்நுட்பம் ஆகியவை குறித்தும் அவர் பேசினார். | 4 | NIv2 | task999_pib_translation_malayalam_tamil | fs_opt | [
-0.2663935422897339,
-0.3905888497829437,
0.2713659107685089,
0.1940593421459198,
-0.21661975979804993,
-0.9783628582954407,
0.14782702922821045,
-0.03043827973306179,
-1.120579719543457,
0.5202605724334717,
-0.901083767414093,
-0.18816375732421875,
-0.011231268756091595,
0.331405997276306... |
Detailed Instructions: Given a sentence in German, generate a new German sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Q: Sie sind wahrscheinlich zu verlieren ein w in einer Antwort.
A: | Sie werden wahrscheinlich eine Biene in einer Suche zu finden. | 9 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-0.30301228165626526,
0.9394760727882385,
0.12103205174207687,
-0.5111160278320312,
-0.19140572845935822,
-0.18475446105003357,
1.153645634651184,
0.9607928991317749,
0.4626128077507019,
-0.6008543968200684,
-0.2993904650211334,
0.3767639100551605,
-1.038437843322754,
0.23152616620063782,
... |
Q: 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. Classify your answers into 'A', 'B', and 'C'.
Context: Jordan tried swimming for the first time and found that they were good at it.
Question: What does Jordan need to do before this?
Options: (A) learn something new (B) needed to put on a swimsuit (C) needed to avoid the water
A: | B | 7 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
0.27483150362968445,
0.5012149810791016,
-0.30127400159835815,
-0.35689759254455566,
0.04434579238295555,
-0.9059150815010071,
0.4497509002685547,
0.4838084578514099,
0.227396622300148,
0.2160108983516693,
-0.09529265761375427,
-0.22244778275489807,
-0.5581492185592651,
-0.5929327607154846... |
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearance, religion, and age.
Input: Consider Input: Passage: The gay man went to Miami for the attractive men at the night clubs.
Output: sexual-orientation
Input: Consider Input: Passage: Michael develop grit and soon opened his own art gallery.
Output: gender
Input: Consider Input: Passage: The other people waiting for the plane appeared to be all uneducated blue collar workers.
| Output: socioeconomic
| 2 | NIv2 | task317_crows-pairs_classification_stereotype_type | fs_opt | [
-0.3102603554725647,
-0.2503717541694641,
-0.3298259973526001,
-0.16067636013031006,
0.16092537343502045,
0.013415152207016945,
0.020120857283473015,
0.5173612833023071,
0.4563807547092438,
0.3749786615371704,
-1.035247802734375,
-0.17684775590896606,
-0.4924328029155731,
-0.33062115311622... |
A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Example input: جدید ٹیکنالوجی کو تیزی سے اختیار کرنے کی حوصلہ افزائی کرتے ہوئے وزیراعظم نے کہا کہ مٹی کی جانچ ہاتھ میں پکڑنے والے آلات کے ذریعے ہی ممکن ہے۔ انہوں نے افسران پر زورد یا کہ وہ اس سلسلے می ںاسٹارٹ اپس اورصنعتوں کے امکان کی تلاش کریں۔
Example output: প্রধানমন্ত্রী, আধুনিক প্রযুক্তি উৎসাহিত করে বলেন, হাত-ধরা ডিভাইসের মাধ্যমে মাটি পরীক্ষা সম্ভব।তারা কর্মকর্তাদের উপর জোর দেয় বা খুঁজে পায় যে তারা এই বিষয়ে সম্ভাব্যতা খুঁজে পেতে পারে।
Example explanation: Correct translation for given sentence. Input sentence means 'Prime Minister, encouraging modern technology, said that soil test is possible through hand-catching devices.They emphasize the officers or find that they are likely to find the possibility of this regard.' which is the same as the output sentence.
Q: انھوں نے وضاحت کی کہ ان کی حکومت کے 55 مہینے اور دوسروں کے 55 سال حکمرانی کے دو متضاد نظریے پیش کرتے ہیں۔
A: | শ্রী মোদী বলেন, তাঁর সরকারের ৫৫ মাস এবং অন্যান্যদের ৫৫ বছর প্রশাসনিক ব্যবস্থায় দুই ভিন্নধর্মী প্রয়াসের প্রতিফলন ঘটায়। | 3 | NIv2 | task1070_pib_translation_urdu_bengali | fs_opt | [
-0.01075323112308979,
0.7155153751373291,
-0.4526395797729492,
-0.6463135480880737,
-0.16463500261306763,
-0.679503321647644,
0.10043622553348541,
0.8007985949516296,
-0.15949034690856934,
0.13400298357009888,
-0.6500391960144043,
-0.06227581948041916,
0.33753472566604614,
0.46105447411537... |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in the two lists with the updated substring.
Input: Consider Input: tPGqriojGuNMo, vhOGqriojGurccCOJEu
Output: tPggijoqruNMo, vhOggijoqrurccCOJEu
Input: Consider Input: TnQVRqmiXJfvuZilWRckDX, fNzLGDFXJfvuZilWRcUtwKJsB
Output: TnQVRqmicfijlruvwxzkDX, fNzLGDFcfijlruvwxzUtwKJsB
Input: Consider Input: WvmJgjzNCmapoq, feTjzNCmapvXYAg
| Output: WvmJgacjmnpzoq, feTacjmnpzvXYAg
| 2 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.7325186133384705,
0.42658698558807373,
-0.02599247731268406,
0.4868070185184479,
0.561660885810852,
-0.17879948019981384,
-0.1878492534160614,
0.2424824833869934,
-0.400732159614563,
0.020544635131955147,
-0.808466374874115,
-1.0947121381759644,
-0.4513241648674011,
-0.47175079584121704,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Solution: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប្រកួតពានរង្វាន់ពិភពលោកនៃកីឡាបាល់ឱបឆ្នាំ2007ដែលប្រព្រឹត្តនៅប៉ាសឌេសប្រីន ក្រុងប៉ារីស បារាំង។
Why? This is a correct and accurate translation from Japanese to Khamer because translated text is just paraphrased of Japanese sentence. Also, it preserves the numbers as it is.
New input: 労働者はフォーラムのコースは彼らの宗教的な信条と矛盾すると主張した。
Solution: | កម្មករបានតវ៉ាថាវគ្គវេទិកានោះប្រឆាំងនឹងជំនឿសាសនារបស់ពួកគាត់។ | 0 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
0.19279147684574127,
0.12918999791145325,
-0.7482436895370483,
0.3103156089782715,
-0.4365774691104889,
-0.44397491216659546,
0.7346572875976562,
0.8374334573745728,
-0.1290586143732071,
-0.5080909729003906,
-1.066333532333374,
0.44002488255500793,
-0.42754778265953064,
0.6745355725288391,... |
In this task, you need to provide the correct option for a given problem from the provided options.
One example is below.
Q: Problem: jo ' s collection contains us , indian and british stamps . if the ratio of us to indian stamps is 6 to 2 and the ratio of indian to british stamps is 5 to 1 , what is the ratio of us to british stamps ?
Options: a ) 5 : 1 , b ) 30 : 2 , c ) 15 : 2 , d ) 20 : 2 , e ) 25 : 2
A: b
Rationale: "u / i = 6 / 2 i / b = 5 / 1 since i is multiple of both 2 ( as per first ratio ) and 5 ( as per second ratio ) so let ' s assume that i = 10 i . e . multiplying teh first ratio by 5 and second ration by 2 in each numerator and denominator then , u : i : b = 30 : 18 : 2 i . e . u : b = 30 : 2 answer : option b"
Q: Problem: of the diplomats attending a summit conference , 14 speak french , 32 do not speak russian , and 20 % of the diplomats speak neither french nor russian . if 10 % of the diplomats speak both languages , then how many diplomats attended the conference ?
Options: a ) 72 , b ) 96 , c ) 108 , d ) 120 , e ) 180
A: | e | 9 | NIv2 | task1421_mathqa_other | fs_opt | [
0.2551766335964203,
0.528408944606781,
-0.093328095972538,
-0.09756746888160706,
-0.2492077499628067,
-0.2698218822479248,
0.08872479945421219,
0.48504576086997986,
0.412199467420578,
-0.4490950405597687,
-0.18560177087783813,
0.5322091579437256,
-0.22190426290035248,
0.09933999925851822,
... |
In this task, you need to Translate Czech text to English.
Zpusob výroby vysokopevných nízkolegovaných trubek zahrnuje proces termomechanického zpracování a/nebo proces interkritického tepelného zpracování, kdy nejprve probíhá výroba trubek válcováním za tepla nebo protlacováním za tepla, následuje proces vychlazování a v záveru probíhá tažení a/nebo tvárení vnitrním pretlakem a/nebo ohýbání trubek. Pri válcování za tepla nebo protlacování za tepla je teplota na konci procesu tvárení v rozmezí 700 až 1000 .degree.C. Poté následuje proces rízeného vychlazování, kdy doba setrvání v teplotním intervalu 700 až 450 .degree.C je max. 40 s a doba setrvání vintervalu 450 až 350 .degree.C je min. 200 s, nebo interkritické tepelné zpracování, jehož max. teplota je v rozmezí 770 až 850 .degree.C, a po prodleve na této teplote rízené ochlazování, kdy doba setrvání v teplotním intervalu 700 až 450 .degree.Cje max. 40 s, a doba setrvání v teplotním intervalu 450 až 350 .degree.C je min. 200 s. | In the present invention, there is disclosed a process for producing high-strength low-alloyed steel pipes including a thermomechanical treatment and/or an intercritical heat treatment, where the pipes are produced first by hot rolling or hot extrusion, upon which follows a cooling process and, finally, drawing and/or forming with internal pressure and/or bending of pipes. The thermomechanical treatment process includes hot rolling or hot extrusion with finish forming temperature between 700 and l,000 degC and subsequent controlled cooling with delay of maximum 40 sec in the temperature range of 700 to 450 degC and the delay of at least 200 sec in the temperature range of 450 to 350 degC. The hot rolling or hot extrusion process is followed by the following sequence: a cooling process, intercritical heat treatment with the maximum temperature between 770 and 850 degC; upon soaking at this temperature, there is controlled cooling with the delay of maximum 40 sec in the temperature range of 700 to 450 degC and a delay of at least 200 sec in the temperature range of 450 to 350 degC. | 0 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
0.2903103530406952,
-0.22381886839866638,
-0.7061054706573486,
1.8533754348754883,
0.3838886320590973,
-0.8076672554016113,
0.138220876455307,
0.5261052846908569,
-0.6745508909225464,
0.5097850561141968,
-0.033866479992866516,
-0.3161352276802063,
0.48613327741622925,
0.5852696299552917,
... |
Definition: In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any external knowledge. Subjective questions are not allowed. Create questions that result in factoid answers. A simple rule of thumb to decide whether a question is factoid or not is to see if two different people with average reading/comprehension skills would come up with the same answer after reading the passage.
Input: This article's plot summary may be too long or excessively detailed. Please help improve it by removing unnecessary details and making it more concise. (September 2016) (Learn how and when to remove this template message)Paige Morgan (Julia Stiles) is a pre-medical student at University of WisconsinâMadison. Across the Atlantic, Denmark's Prince Edvard (Luke Mably), heir to the throne, regularly shirks his princely duties (including opening a cabinet meeting) by acting recklessly (like drag racing).While watching television after a cabinet meeting, Edvard sees a commercial for a reality show set in Wisconsin called College Girls Gone Wild, featuring drunken co-eds flashing their breasts. After meeting with his parents, King Haraald (James Fox), and Queen Rosalind (Miranda Richardson), Edvard announces his intentions to attend college in Americaâspecifically, Wisconsin. While his parents do not want him to go, Edvard tells them he will go with or without their consent, and that he does not want any help or money. The Queen then dispatches Edvard's assistant, Søren (Ben Miller), to chaperone the trip to America.When Edvard arrives at the university, he orders Søren keep his identity a secret, and to call him "Eddie." Later at a bar Eddie sees Paige, where he flirts with her. Eddie then asks Paige to take off her shirt, like the girls in the College Girls Gone Wild advertisement did. Paige angrily drenches Eddie with the drink hose, and bouncers escort Eddie (and Søren, who came to his rescue) from the bar. To Paige's annoyance, she and Eddie are also assigned as lab partners for an organic chemistry class. Since the class is important for Paige's medical school ambitions, she warns Eddie to not get in her way, and reprimands him after he sleeps through one of their lab experiments. After running out of money, Eddie gets a job in the deli section of the bar, even using Paige as a reference. Paige reluctantly helps him during his first day. Eddie later asks her out, but she refuses.After Eddie helps Paige learn how to interpret Shakespeare, and Paige teaches him how to do laundry, Paige is goaded by a friend to invite him to her home for Thanksgiving. While there, Eddie takes part in a lawn mower race, even beating the Morgan family's rival. However, a fistfight ensues. After patching up his wounds, Eddie and Paige kiss.Back at school, Eddie and Paige sneak off to the library stacks to pursue a romantic encounter of unspecified nature. While there, members of the Danish tabloid press ambush the stunned couple. Once away from the mayhem, Paige learns of his real identity. Feeling betrayed and accusing him of lying, she leaves.At the end of the day, Eddie is notified by his mother that his father is very ill, prompting him to return. While Paige faces a panel of professors questioning her about Shakespeare and love, she realizes that she loves Edvard and runs to find him, only to discover that he has already left for Denmark. She goes after him, and upon arriving in Copenhagen her trip is delayed, as a parade honoring the royal family is blocking traffic. Paige is recognized by the crowd, and Edvard finds her and takes her to the castle on horseback.The queen objects to Edvard's choice to marry Paige, but the king tells him that if he loves Paige, he should marry her. Edvard proposes and Paige accepts.Paige struggles with conforming to the lifestyle of royalty, however, the queen warms to her. Then, she takes Paige to a little room with jewelry to get ready for the coronation ball, which follows King Haraald's abdication. During the coronation ball, Edvard and Paige share their first dance and then sneak off together. After being left alone, Paige remembers her dream for Doctors Without Borders. When Edvard returns, she tells him that she does not want to sacrifice her dreams, and that she cannot be queen. She then returns to Wisconsin and graduates from college, where she has been accepted to Johns Hopkins School of Medicine.King Edvard arrives after the graduation, where he expresses that he wants to marry her and he is willing to wait until she completes medical school and achieves her dreams. She confesses that Denmark may not be ready for a queen like her, but he says that he is, leading them to kiss passionately.
Output: | Who wants to marry her? | 2 | NIv2 | task193_duorc_question_generation | zs_opt | [
0.5665440559387207,
0.200242280960083,
-0.3380698263645172,
-0.7498481273651123,
0.3103303015232086,
-0.2271164059638977,
0.945073664188385,
0.7934478521347046,
-0.18602050840854645,
0.14445461332798004,
0.32091647386550903,
0.2921832799911499,
-0.6090294122695923,
0.0848994255065918,
-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.
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
Context: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenesis. Group 2 innate lymphoid cells (ILC2s) represent a recently discovered cell population which has been implicated in driving Th2 inflammation in CRS; however, their relationship with clinical disease characteristics has yet to be investigated. The aim of this study was to identify ILC2s in sinus mucosa in patients with CRS and controls and compare ILC2s across characteristics of disease. A cross-sectional study of patients with CRS undergoing endoscopic sinus surgery was conducted. Sinus mucosal biopsies were obtained during surgery and control tissue from patients undergoing pituitary tumour resection through transphenoidal approach. ILC2s were identified as CD45(+) Lin(-) CD127(+) CD4(-) CD8(-) CRTH2(CD294)(+) CD161(+) cells in single cell suspensions through flow cytometry. ILC2 frequencies, measured as a percentage of CD45(+) cells, were compared across CRS phenotype, endotype, inflammatory CRS subtype and other disease characteristics including blood eosinophils, serum IgE, asthma status and nasal symptom score. 35 patients (40% female, age 48 ± 17 years) including 13 with eosinophilic CRS (eCRS), 13 with non-eCRS and 9 controls were recruited. ILC2 frequencies were associated with the presence of nasal polyps (P = 0.002) as well as high tissue eosinophilia (P = 0.004) and eosinophil-dominant CRS (P = 0.001) (Mann-Whitney U). They were also associated with increased blood eosinophilia (P = 0.005). There were no significant associations found between ILC2s and serum total IgE and allergic disease. In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (P = 0.03). ILC2s were also correlated with worsening nasal symptom score in CRS (P = 0.04).
Answer: As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. ILC2s are also linked with high tissue and blood eosinophilia and have a potential role in the activation and survival of eosinophils during the Th2 immune response. The association of innate lymphoid cells in CRS provides insights into its pathogenesis.
Solution: Are group 2 innate lymphoid cells ( ILC2s ) increased in chronic rhinosinusitis with nasal polyps or eosinophilia?
Why? The question is based on the following sentences from the two passages (i) Group 2 innate lymphoid cells (ILC2s) {ii) In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (iii) As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. and (iv) ILC2s are also linked with high tissue and blood eosinophilia.
New input: Context: Medical documentation is important for communication among health care professionals, research, legal defense, and reimbursement. Previous studies have indicated insufficient documentation by health care providers and resistance among physicians to comply with the new guidelines. Data in the intensive care unit (ICU) subpopulation are scarce. We examined the hypothesis that a newly appointed neurointensivist may alter documentation practices in a university hospital setting.', 'We sampled medical records of neurological intensive care unit (NICU) patients admitted with three specific diagnoses (head trauma, intracerebral hemorrhage, and subarachnoid hemorrhage) and examined changes in the documentation of important prognostic variables in two time periods: before and after the appointment of a neurointensivist.', "Overall, documentation improved from 32.5 to 57.5% (odds ratio, 95% confidence interval 2.8, 1.9-4.2) in the after period. Documentation using Glasgow Coma Scale, clot volume, Hunt & Hess scale, and Fisher's grade also improved significantly in each of the diagnoses examined in the after period.
Answer: Our findings suggest that a major change was implemented in the NICU regarding documentation after a neurointensivist was appointed. Although the direct or indirect impact of the appointment was not clarified, these preliminary data warrant a prospective ICU study, which should determine the exact variables that play a role in documentation, how they change over time, and what reinforcing mechanisms can be used.
Solution: | Does documentation in medical records improve after a neurointensivist 's appointment? | 0 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.30155637860298157,
0.3225131034851074,
-0.18329305946826935,
-0.3110104203224182,
0.5861583948135376,
-0.39561909437179565,
0.2236158400774002,
0.6959841251373291,
-0.3601740598678589,
-0.08457498252391815,
-0.23744012415409088,
-0.007938593626022339,
-0.655449628829956,
0.53639084100723... |
Teacher:The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Norwegian Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Norwegian language. 2) Also names ,dates and places should be preserved it should not get translated.
Teacher: Now, understand the problem? Solve this instance: Tell me why it was that you were so eager that Sir Henry should return to London."
Student: | Si meg hvorfor De var så ivrig på at sir Henry skulle reise tilbake til London?” | 6 | NIv2 | task1649_opus_books_en-no_translation | zs_opt | [
-0.5640202164649963,
0.8638112545013428,
0.23787333071231842,
-0.5887406468391418,
-0.25419706106185913,
-1.1328957080841064,
0.8011237382888794,
-0.24699591100215912,
-0.12373849749565125,
-0.6699155569076538,
0.26307231187820435,
1.1354804039001465,
-1.3284717798233032,
-0.01148646138608... |
Definition: In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that are common to both sets. An element is at the intersection of two given sets, A and B, if common to both A and B. Classify your answers into 'Yes' or 'No'.
Input: Set1: '{6, 15}', Set2: '{4, 5, 7, 8, 10, 20}'. Is the element '8' in the intersection of Set1 and Set2 ?
Output: | No | 2 | NIv2 | task245_check_presence_in_set_intersection | zs_opt | [
0.17673572897911072,
-0.1995793879032135,
-0.5338337421417236,
0.12828579545021057,
-0.11833857744932175,
-0.2059159278869629,
0.5986799001693726,
0.5176705121994019,
-0.055032774806022644,
-0.21671563386917114,
-0.5006501078605652,
0.16514137387275696,
-0.017916254699230194,
-0.2104991674... |
Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Input: Sentence 1: Two people are walking along in a very snowy, woodsy area. Sentence 2: Two people are carpooling to work in the city.
Output: | Two people are lost in the woods. | 3 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | zs_opt | [
-0.8553817272186279,
1.0342426300048828,
0.3644246459007263,
-0.48347020149230957,
0.09871968626976013,
-0.30324599146842957,
-0.297302782535553,
0.6401345729827881,
0.2849613428115845,
-0.49148988723754883,
-0.7820310592651367,
-0.6009213924407959,
-0.23728656768798828,
-0.176313266158103... |
You will be given a definition of a task first, then some input of the task.
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your question. Avoid repeating the same style, pattern, or phrases in each question, try to increase diversity by varying sentence structure, blank placement, etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Person X and Person Y have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Context Word: wine.
Output: | At dinner last night, PersonX got a glass of red wine, while PersonY drank white. _ likes a smokier finish to their wine. | 1 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.2686777412891388,
0.4867812395095825,
0.27184122800827026,
0.3683420419692993,
0.0989973396062851,
0.027762271463871002,
0.4760013222694397,
1.0358742475509644,
0.1429157257080078,
-0.7109696865081787,
0.0030417446978390217,
-0.3731553256511688,
-0.2909605801105499,
0.0003338854294270277... |
Instructions: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Input: John tugged a woman a canoe
Output: | John tugged a canoe to a woman | 3 | NIv2 | task132_dais_text_modification | zs_opt | [
0.1513720154762268,
1.1973507404327393,
0.0980178564786911,
-0.8826848864555359,
0.4752407670021057,
-0.5069266557693481,
-0.09046462178230286,
0.30134063959121704,
-0.4571365714073181,
-0.05137884244322777,
0.03962196409702301,
-0.18799975514411926,
-0.7368379831314087,
-0.302412211894989... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Example: אחרי הכל, הם החליטו, והם עשו,
Output: Afinal de contas elas é que decidem, e decidiram mesmo.
The Hebrew sentence is correctly translated into Portugese, because the meaning is preserved.
New input case for you: אני רק רוצה שתחשבו קצת מהי חווית הנהיגה שלנו היום.
Output: | Só quero que pensem um pouco sobre como é a experiência de conduzir agora. | 1 | NIv2 | task1114_ted_translation_he_pt | fs_opt | [
-0.15980657935142517,
0.9377554655075073,
0.3840586245059967,
0.33673587441444397,
-0.472235769033432,
-0.07819019258022308,
0.37655776739120483,
0.8974592685699463,
0.6171311140060425,
-0.18464404344558716,
-0.3560928404331207,
0.583600640296936,
-0.14311468601226807,
-0.19624125957489014... |
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 and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
Sentence: GOP leaders submitted the new offer Tuesday afternoon in an effort to appease Democrats, whose votes are needed to avert a shutdown of federal agencies, several House and Senate aides said. Question: Who has to be appeased to keep the government open?
Solution: Yes.
Why? The sentence says that "the Democrats" have to be appeased, which answers the question. So, the correct label should be "Yes".
New input: Sentence: Sally, Sally, come home, Sally's Mom calls out.
Question: Who called Sally?
Solution: | Yes. | 0 | NIv2 | task050_multirc_answerability | fs_opt | [
-0.8895944356918335,
0.24077610671520233,
0.22860825061798096,
0.4337848424911499,
-0.4115137457847595,
-1.0689512491226196,
0.5638281106948853,
0.7838575839996338,
0.223448246717453,
0.02253146655857563,
-0.35567545890808105,
-0.016938406974077225,
0.057397108525037766,
-0.148112818598747... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
--------
Question: اکسیتوسین به شما تمایل برای ارتباط فیزیکی میده
Answer: L'ossitocina vi fa desiderare il contatto fisico
Question: دنیایی که بر مبنای علیت ساخته شده.
Answer: E 'un universo basato sulla causalità.
Question: تقریبا ۶۰ تا ۷۰ زندانی اینجا هستند و اکثریت آنها مسلمان هستند.
Answer: | Si stimano circa 60-70 detenuti, e sono per la maggior parte musulmani.
| 7 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-1.0984725952148438,
0.8377906084060669,
-0.6832793951034546,
0.27556824684143066,
-1.1310069561004639,
-0.3967145085334778,
0.6953644156455994,
-0.01726367697119713,
0.37224894762039185,
-0.48181843757629395,
-1.305390477180481,
0.5888487696647644,
-0.1297573745250702,
0.7168028354644775,... |
You will be given a definition of a task first, then some input of the task.
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an understanding of the relationship described in the background paragraph and the story. You need to come up with an answer to the given question; the answer will be a span from either the question or the story. In order to correctly answer the given question, you need to understand the relationship mentioned in the background paragraph and should be able to use it to understand that in the story. Your answer can not consist of any word that is not mentioned in any of these: the background paragraph, the story, or the question. You can directly copy and paste a span from the story or the question while answering the given question.
Background Paragraph: Air pollution can also indirectly cause other health issues and even deaths. Air pollutants can cause an increase in cancer including lung cancer, eye problems, and other conditions. For example, using certain chemicals on farms, such as the insecticide DDT (dichlorodiphenyltrichloroethane) and toxic PCBs (polychlorinated biphenyl), can cause cancer. Indoors, pollutants such as radon or asbestos can also increase your cancer risk. Lastly, air pollution can lead to heart disease, including heart attack and stroke.
Story: The health inspectors reviewed data from two villages, Key and Auburn. Key village presented higher levels of both indoor and outdoor pollution.
Question: Which village had a lower number of people getting cancer?
Output: | Auburn. | 1 | NIv2 | task061_ropes_answer_generation | zs_opt | [
0.29123175144195557,
0.10971146076917648,
-0.39867526292800903,
-0.20582041144371033,
0.08251005411148071,
-0.43600934743881226,
0.31826961040496826,
1.239702582359314,
-0.7718822956085205,
0.15807923674583435,
-0.8236569762229919,
0.15378990769386292,
-0.7259290814399719,
-0.1503238379955... |
Teacher:You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'.
Teacher: Now, understand the problem? Solve this instance: Person1: Do you know who ’ s just got married ? Old McDonald .
Person2:Never ! He ’ s over 80 , isn ’ t he ?
Person1: He ’ s nearly 90 .
Person2:Good gracious ! Are you sure ?
Person1: I am . What ’ s more , his wife is 84 .
Person2:Is she really ?
Person1: Yes , she is . And guess what , he is her sixth husband .
Person2:Really ? Quite a woman , isn ’ t she ?
Student: | informal | 6 | NIv2 | task1533_daily_dialog_formal_classification | zs_opt | [
-0.34281423687934875,
0.13227713108062744,
0.40992438793182373,
-0.4227082133293152,
0.15902221202850342,
0.057456135749816895,
0.3541114628314972,
0.06034097075462341,
-0.05272386968135834,
-0.12350538372993469,
-0.3647231459617615,
-0.6393806338310242,
-0.3087812662124634,
0.109780959784... |
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
PROBLEM: ננצח משום שאין לנו סדר-יום מפלגתי פוליטי.
SOLUTION: Wygramy, bo nie mamy politycznej agendy.
PROBLEM: לכן אני מבקשת מכם להצטרף אליי במגילה הזאת — ביצירת המגילה הזאת, בהשקתה ובהפצתה, כך שתהפוך — אני רוצה שהיא תופיע בכל אוניברסיטה, כנסייה, מסגד ובית כנסת בעולם, כך שהאנשים יוכלו להביט במסורת שלהם, להחזיר אותה לעצמם ולהפוך את הדת למקור שלום. בעולם (מה שהיא אמורה להיות. תודה רבה לכם. (מחיאות כפיים
SOLUTION: Tak więc mocno zachęcam was do przyłączenia się do mnie w tworzeniu — w tej karcie — do zbudowania tej Karty, wprowadzenia i propagowania jej tak, żeby stała się; chciałabym zobaczyć ją w każdym koledżu, każdym kościele, każdym meczecie, w każdej synagodze świata, aby ludzie mogli przyjrzeć się swojej tradycji religijnej, odzyskać ją i uczynić religię źródłem pokoju na świecie, którym może, i powinna być. Dziękuję bardzo. (Aplauz)
PROBLEM: אין אף משפט שמסמל טוב יותר את אותה תקופה מאשר העובדה שפתאום, יש לך את החשק לשים תמונה של הכלב שלך, ואז לקשר את העמוד אליה, ואז מישהו קורא את העמוד הזה ורוצה או לא ללחוץ על הקישור הזה.
SOLUTION: | Jak sądzę, nie istnieje zdanie, które lepiej przywołuje ten czas niż to. To, że możemy umieścić w sieci zdjęcie swojego psa, umieścić do niego link, a ktoś, kto ogląda tą strone ma wybór: albo podąży za tym linkiem albo nie.
| 8 | NIv2 | task1112_ted_translation_he_pl | fs_opt | [
-0.3871142864227295,
0.20633426308631897,
0.35884326696395874,
0.12875857949256897,
-0.5445632934570312,
-0.7903240919113159,
1.1597248315811157,
-0.002222349401563406,
0.0034814649261534214,
-0.13014759123325348,
-0.5662515163421631,
0.8733682632446289,
-0.4448096752166748,
0.174034669995... |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the question has to be about both objects which are related but different; for example, "trophy" and "suitcase". This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "small" to "big"). You should not change any content in the given question beyond a word or two, i.e., the trigger word/phrase. The expected answer to your question must not be associated with just the trigger word; instead, it should depend on the context present in the question. The expected answer should not be ambiguous. For your question, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. In your generated question, retain the object names from the input question. Avoid repeating the same style or phrase in generating your modified question e.g. this task can be always solved using a simple negation i.e. by adding not, never, etc. Instead, try to increase the word diversity. Your question must contain at least 15 and at most 30 words. Your question must have at least 70% overlapping words with the given question. You must utilize the given context word while writing the question. Your question must contain only one blank. The two objects should be used ONCE in your question. Here is a list of attributes and associated contrastive words that may help write contrastive trigger words. Note that contrastive trigger words help in flipping the label.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
Ex Input:
Context Word: finish.
Question: About to finish with his homework, the boy looked at the clock and the _ seemed to stand still.
Answer: clock.
Ex Output:
About to finish with his homework, the boy looked at the clock and the _ seemed to disappear.
Ex Input:
Context Word: swing.
Question: My son always went over to use the swing and not the slide, because the _ was always working.
Answer: swing.
Ex Output:
My son always went over to use the swing and not the slide, because the _ was always broken.
Ex Input:
Context Word: certification.
Question: I was unable to use the certification that I had for the job, because the _ was too weak.
Answer: certification.
Ex Output:
| I was unable to use the certification that I had for the job, because the _ was too skillful.
| 1 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.669861912727356,
0.25216320157051086,
-0.08511249721050262,
-0.059909142553806305,
0.617918848991394,
-0.6283488869667053,
0.8401377201080322,
1.1667832136154175,
-0.7071896195411682,
-0.38278627395629883,
-0.32059967517852783,
0.30938437581062317,
-0.4675586223602295,
0.1194283962249755... |
Teacher:In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
Teacher: Now, understand the problem? Solve this instance: There was nothing I that could do for Antonio.
Student: | Inversion | 6 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.2573024332523346,
-0.07407788932323456,
0.6732437610626221,
0.25523167848587036,
-0.1319451630115509,
-0.15558728575706482,
0.4607124924659729,
0.7684837579727173,
0.31458520889282227,
-0.5174353122711182,
-0.7707486152648926,
-0.9709759950637817,
-0.33164605498313904,
-0.51126015186309... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Example Input: Sentence 1: Once again, critics declare Francis Ford Coppola's masterwork (re-released on its 25 th anniversary) the quintessential American epic. Sentence 2: The movie is successful, given that it was re released.
Example Output: no
Example Input: Sentence 1: Its wooded shores, delightful islands, and beautiful setting have earned Derwent Water the epithet Queen of the Lakes. Sentence 2: Derwent Water's nickname is the King of the Lakes.
Example Output: yes
Example Input: Sentence 1: I'm not sure I understand what you want. Sentence 2: I think I understand, you want spaceship.
Example Output: | yes
| 3 | NIv2 | task199_mnli_classification | fs_opt | [
-0.23668739199638367,
0.17170780897140503,
0.5319043397903442,
-0.1054946631193161,
0.3850456178188324,
-1.3165514469146729,
0.21862880885601044,
0.5917399525642395,
-0.21953661739826202,
0.3263969421386719,
-0.02122965268790722,
-0.6018487215042114,
-0.6170646548271179,
-0.559994697570800... |
Q: In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
where does the money for nhs come from
A: | general taxation system | 7 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.3788979649543762,
0.6907434463500977,
0.4170234203338623,
0.1971503049135208,
-0.6387957334518433,
-1.0852546691894531,
1.494624376296997,
0.2479853630065918,
0.4889502227306366,
-0.15620307624340057,
-0.7556423544883728,
0.23382702469825745,
-0.5221750140190125,
0.17370794713497162,
... |
Part 1. Definition
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 find the value of a variable (2) 'arithmetic' questions will ask the sum, difference, multiplication, division, power, square root or value of expressions involving brackets (3) 'measurement' questions are questions that ask to convert a quantity from some unit to some other unit (4) 'numbers' questions will be about bases, remainders, divisors, GCD, LCM etc. (5) 'probability' questions will ask about the probability of the occurrence of something. A question must belong to only one category.
Part 2. Example
Suppose -d - 13 = -n - 0, 0 = 2*d + 2. Solve 2*x = -10 + n for x.
Answer: algebra
Explanation: This is a system of three linear equations, clearly an 'algebra' question. Standard methods of solving linear equations can be used to obtain the solution.
Part 3. Exercise
What is 2054 to the power of 1/4, to the nearest integer?
Answer: | arithmetic | 7 | NIv2 | task834_mathdataset_classification | fs_opt | [
0.004960754420608282,
0.7282772064208984,
-0.37882739305496216,
-0.32852640748023987,
0.05993325263261795,
0.3856304883956909,
0.827885627746582,
0.6968384385108948,
0.2533762753009796,
-0.3637318015098572,
-0.863286554813385,
0.09483245015144348,
-0.18653501570224762,
-0.01653839834034443... |
Definition: In this task, you are given a question. You have to answer the question based on your information.
Input: Which 991 CE battle beside River Blackwater is the inspiration for an Old English poem of the same name?
Output: | Battle of Maldon | 2 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
0.14401903748512268,
1.2012676000595093,
-0.42783352732658386,
-0.5243775844573975,
-0.26252853870391846,
-1.1226261854171753,
0.09536999464035034,
0.11910408735275269,
0.669792652130127,
0.4460985064506531,
-0.5346618890762329,
-0.14520415663719177,
-1.2894039154052734,
0.4101040363311767... |
Definition: In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in sentence case (capitalize only the first word of each sentence and noun).
Input: Hindi: सचाई इसी अति उदासीनता और अतिशय प्रतिक्रिया के बीच कहीं छिपी ही है और उसी के ऊपर बंगाल के निर्दोष नागरिकों का भविष्य अटका हा है ।
English: Somewhere between extreme indifference and extreme reaction lies the truth- and the hapless , beleaguered citizen of Bengal .
Output: | Yes | 2 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.4901657700538635,
0.20815271139144897,
0.8286665678024292,
0.03444179892539978,
-0.3613918423652649,
-0.6003180742263794,
0.6987537145614624,
0.29558008909225464,
0.08980566263198853,
-0.5312009453773499,
-0.6628342866897583,
0.34587401151657104,
-0.7896440029144287,
0.48253774642944336... |
Given the task definition and input, reply with output. In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
تبلیغات سیاسی، جوسازی، پروپاگاند یا پروپاگاندا گونهای ارتباط است که در آن، اطلاعات هماهنگ و جهتدار برای بسیج افکار عمومی از طریق تبلیغات سیاسی پخش و فرستاده میشود. تبلیغات سیاسی شکلی از ارتباط است که هدف آن نفوذ بر گرایش یک جمع یا جماعت به موضع و دلیل دلخواه مبلغ سیاسی است. پروپاگاندا برخلاف تهیه اطلاعات غیر جانبدارانه، در اصلیترین معنای خود، دادن اطلاعات با هدف نفوذ بر مخاطب است. در این راستا، اغلب اوقات، واقعیتها بهطور گزینشی بیان و بازنمایی میشوند (درحالی که نادرستی آن برگوینده روشن و آشکار است) تا از سوی مخاطب، واکنش و رفتاری احساسی و نه آگاهانه و خردمندانه سر بزند. نتیجه این امر، تغییر گرایش دلخواه به سوی هدفی است که برای مخاطب هدفگیری شده و به منظور پیشبرد یک برنامه سیاسی، درنظرگرفته شدهاست. افزون براین، پروپاگاندا میتواند در شکل یک نبرد و جنگافروزی سیاسی نیز تلقی شود. جوسازی ریشه در تاریخ کلیسای کاتولیک دارد. در سال ۱۶۲۲، پاپ اوربان هشتم برای ترویج مسیحیت، در مناطق غیر مسیحی جهان گردهمایی تبلیغاتی به راه انداخت.
Question: چرا در پروپاگاندا کردن باید حقایق را انتخاب شده به مخاطب نشان داد؟
| تا از سوی مخاطب، واکنش و رفتاری احساسی و نه آگاهانه و خردمندانه سر بزند | 5 | NIv2 | task395_persianqa_answer_generation | zs_opt | [
-0.6972366571426392,
0.11552423238754272,
-0.06269688904285431,
0.6601369380950928,
-0.6736199855804443,
0.5219452381134033,
0.9140752553939819,
0.6457838416099548,
0.1301102340221405,
-0.18588334321975708,
-0.9235291481018066,
0.9542928338050842,
0.017009679228067398,
-0.30194520950317383... |
Teacher: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. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j. Perform the operations in order, i.e., do not concatenate the elements and then reverse the string.
Teacher: Now, understand the problem? Solve this instance: 4, 13, ['2449', 'G', 'u', '2667', 'j', '5121', '3139', 'S', 'j', 'i', '1573', '1395', '2753', '9719', '8197', '1171']
Student: | 275313951573ijS31395121j2667 | 6 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | zs_opt | [
-0.3542061448097229,
0.4718453288078308,
-0.27730420231819153,
-0.7401741743087769,
0.10346639901399612,
-0.49705034494400024,
0.2920166254043579,
-0.08977040648460388,
-0.5806299448013306,
0.5097488164901733,
-0.6383130550384521,
-0.11997802555561066,
0.26730090379714966,
-0.3825865685939... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
כן. מרפא ל HIV.
A: | Si. Unha cura para o VIH. | 7 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-0.5239189863204956,
0.6521843671798706,
-0.07550401985645294,
-0.4048824906349182,
-0.4724951386451721,
-0.783627986907959,
0.5136556029319763,
0.5219049453735352,
0.7611419558525085,
-0.5737901926040649,
-0.7218076586723328,
0.9909715056419373,
-0.6753791570663452,
-0.040358178317546844,... |
This task is about translating a given French language sentence to English.
Q: C'est pourquoi le bouchon reste solidaire du torchon
A: | That's why the cork is interdependent with the wipe when you pull this one out of the bottle. | 4 | NIv2 | task1690_qed_amara_translation | zs_opt | [
0.27041947841644287,
0.8264380097389221,
0.715416669845581,
-0.9162697792053223,
0.3058543801307678,
-0.5907516479492188,
0.44649118185043335,
0.34892788529396057,
0.3385990560054779,
0.194708913564682,
-0.14950919151306152,
0.4887344539165497,
-0.777824878692627,
0.18795090913772583,
-0... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Tagalog sentence: 3 Ang tinig ng isang sumisigaw sa ilang, Ihanda ninyo ang daan ng Panginoon, Tuwirin ninyo ang kaniyang mga landas; | 3 The voice of one crying in the wilderness, Prepare ye the way of the Lord, make his paths straight. | 0 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
-0.05834628641605377,
0.7148125767707825,
-0.6160299777984619,
-0.5016619563102722,
-0.409570574760437,
-0.6488320827484131,
0.28390541672706604,
0.34681153297424316,
-0.271673321723938,
-0.3276500701904297,
-0.10712282359600067,
-0.1332370787858963,
-0.5456715822219849,
-0.576307594776153... |
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
Example: Which writer rode Devon Loch in the 1956 Grand National?
Example solution: dick francis
Example explanation: The answer is precise and accurately answers the question based on a fact. This is a good example
Problem: Tennis's French Open Men's Singles Champion of 1986 and 1987, never won a Wimbledon title. Who is he?
| Solution: ivan lendl | 5 | NIv2 | task898_freebase_qa_answer_generation | fs_opt | [
-0.4050958454608917,
0.8079320788383484,
-0.23021744191646576,
-0.5190593004226685,
0.08104776591062546,
-0.3844720125198364,
1.217865228652954,
-0.8029013872146606,
0.44273704290390015,
-1.036037564277649,
-0.816711962223053,
0.9484243988990784,
-0.570583701133728,
0.12398408353328705,
... |
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