inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Tweet: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymized_account, Question: Does the tweet contain cyberbullying (harmful) content?
Solution: Yes
Why? The tweet contains Bullying content
New input: Tweet: @anonymized_account Przecież te zjeby chyba wiedza że tvn 24 nadaje tylko w platnej. Tacy wrogowie, szczyj na nich , Question: Does the tweet contain cyberbullying (harmful) content?
Solution: | Yes | 0 | NIv2 | task839_cdt_classification | fs_opt | [
-1.3606101274490356,
0.9047219753265381,
0.5508424043655396,
0.5901705026626587,
-0.14348238706588745,
-0.4136733412742615,
1.0816545486450195,
-0.952176570892334,
-0.46870192885398865,
-0.051790814846754074,
-0.2629525065422058,
0.2405456304550171,
-0.5946234464645386,
-0.4062852263450622... |
You will be given a definition of a task first, then some input of the task.
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the sentence. The resolution of the pronoun coreference relations typically involve one or multiple following knowledge types about commonsense: First: 'Property', the knowledge about property of objects (e.g., ice is cold). Second: 'Object', the knowledge about objects (e.g., cats have ears). Third: 'Eventuality', the knowledge about eventuality (e.g., 'wake up' happens before 'open eyes'). Forth: 'Spatial', the knowledge about spatial position (e.g., object at the back can be blocked). Fifth: 'Quantity', the knowledge about numbers (e.g., 2 is smaller than 10). Sixth: all other knowledge if above ones are not suitable. You should answer 'Correct' if the reasoning made sense, otherwise, you should answer 'Wrong'.
Sentence: Ann asked Mary what time the library closes, but she had forgotten.
Reason: The 'she' refers to mary because the library closes, because she had forgotten Ann asked Mary what time.
Question: Is the above reasoning correct or wrong?
Output: | Wrong | 1 | NIv2 | task133_winowhy_reason_plausibility_detection | zs_opt | [
0.10017939656972885,
0.17889805138111115,
-0.11369200050830841,
-0.0022101837676018476,
0.03928521275520325,
-0.47787731885910034,
0.4196000099182129,
0.09935034811496735,
0.4490945637226105,
-0.8818100094795227,
-0.5417214632034302,
0.033283866941928864,
-0.7748071551322937,
-0.0760368704... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Q: ובארון-כהן הסביר שלקויות מסוימות יכולות לבוא לידי ביטוי בעולם של ההאקרים והמיחשוב כמיומנות עצומות ושאסור לנו לכלוא אנשים כאלה עם לקויות ומיומנויות משום שאיבדו את דרכם מבחינה חברתית או שהולכו שולל
A: | And Baron-Cohen explained that certain disabilities can manifest themselves in the hacking and computing world as tremendous skills, and that we should not be throwing in jail people who have such disabilities and skills because they have lost their way socially or been duped. | 9 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
0.2944560945034027,
0.7903053164482117,
0.6770800352096558,
0.36156922578811646,
-0.44533050060272217,
-0.15609268844127655,
0.5398409962654114,
0.24767786264419556,
0.4039493799209595,
-0.33306217193603516,
0.19311881065368652,
0.4744756817817688,
-0.7957359552383423,
0.050034329295158386... |
TASK DEFINITION: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
PROBLEM: Comment: ????
SOLUTION: Non-toxic
PROBLEM: Comment: Typical stupid Denver voters.
SOLUTION: Toxic
PROBLEM: Comment: Shoot shoot shoot.
Kill kill kill.
Pathetic.
SOLUTION: | Toxic
| 8 | NIv2 | task327_jigsaw_classification_toxic | fs_opt | [
-0.6087566614151001,
0.12574537098407745,
0.8176961541175842,
0.25002217292785645,
0.01707318052649498,
-0.562059223651886,
0.8319011926651001,
0.7040196657180786,
0.4304260015487671,
0.5275123715400696,
0.26809120178222656,
0.3220130503177643,
-0.610593855381012,
-0.981056809425354,
0.3... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Input: Consider Input: [[0, -45, -35, 45, -38], [16, 29], [-37, 3, 19, -5], [20, -1, -13, -6], [38, -11, 2, 3, -13], [29, 30, -16, 12, 1], [15, 16, 12, -26], [-14, 39, 39, -13]]
Output: [0, 464, 10545, -1560, 32604, -167040, -74880, 276822]
Input: Consider Input: [[-30, -28, -9], [-45, 41, 49, -36]]
Output: [-7560, 3254580]
Input: Consider Input: [[15, 14, -16, -10], [-15, 30], [-37, 46, 4]]
| Output: [33600, -450, -6808]
| 2 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.47265923023223877,
-0.02913287654519081,
-0.8989781141281128,
-0.13715484738349915,
-0.08562324941158295,
-0.44117599725723267,
1.20082426071167,
0.7743704319000244,
-0.6715877056121826,
-0.33736056089401245,
-0.8549960851669312,
0.30334389209747314,
-0.6310337781906128,
-0.7780330777168... |
Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wrong) and NOBODY (if no one is wrong in the situation).
Let me give you an example: Pretty much was hanging out with two friends. I was watching the Lakers game. They won at the very last minute and I immediately hopped up and celebrated. Before I could even finish celebrating one friend started going on about how the Lakers suck. It just pissed me off so much I screamed at her to get out my room until she left.
She knows I'm a huge fan and she likes them too. She was only saying it to antagonize me. Am I the dick here?
The answer to this example can be: AUTHOR
Here is why: It is very rude to shout at someone and ask her to leave the room even if her comments may have antagonized the author. Hence author is at fault here.
OK. solve this:
AITA I'm in high school and there's a group of my friends, there's about 6 of us. There's this one guy who is in the group and no one really likes him, but he has no other friends. Nobody really minded him being there until one day he decided to follow one of the girls in the group home. That happened a couple months ago and now he has began staring at one of the other girls in class. I decided to confront him about it and I called him a creep. Should I apologise and if not, what should I do? Because nobody in the group wants him there and he's forcing himself into the group.
Answer: | AUTHOR | 8 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | fs_opt | [
0.24078232049942017,
0.29070091247558594,
0.19998537003993988,
0.20754441618919373,
0.08087749779224396,
-0.5948419570922852,
-0.11071766912937164,
0.09869841486215591,
0.5723584294319153,
-0.1575445532798767,
-0.2660563588142395,
0.3105151057243347,
-1.127655267715454,
-0.3338648378849029... |
You will be given a definition of a task first, then some input of the task.
A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
गेल्या दोन वर्षात जागतिक आर्थिक मंचाच्या जागतिक स्पर्धात्मकता निर्देशांकात आम्ही 32 स्थानांनी वर गेलो आहोत. कोणत्याही देशाने केलेली ही सर्वोच्च कामगिरी आहे.
Output: | ورلڈ اکنامک فورم کے عالمی مسابقتی عدد اشاریہ میں گزشتہ د و برسوں میں ہم 32 درجات آگے بڑھے ہیں۔ یہ ترقی کسی بھی ملک کیلئے سب سے زیادہ ہے۔ | 1 | NIv2 | task989_pib_translation_marathi_urdu | zs_opt | [
-0.22504264116287231,
1.13194739818573,
-0.020824752748012543,
-0.4939124584197998,
0.23483046889305115,
-0.48874473571777344,
0.18131190538406372,
0.05750936269760132,
0.1726090908050537,
-0.13812848925590515,
-0.7531299591064453,
-0.11748045682907104,
-0.341455340385437,
-0.3181770443916... |
Q: 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.
Sentence: In a leveraged buy-out , a small group of investors acquires a company in a transaction financed * largely by borrowing , with the expectation that the debt will be paid *-1 with funds generated * by the acquired company 's operations {{ or }} sales of its assets .
Word: or
A: | CONJ | 7 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.40443021059036255,
0.2419891208410263,
-0.17005881667137146,
0.03921087086200714,
-0.2491508275270462,
-0.5626355409622192,
0.566687822341919,
0.8954969048500061,
-0.12372758984565735,
-0.17922566831111908,
-0.48878014087677,
0.2670121192932129,
-0.5913100242614746,
0.2661128044128418,
... |
Instructions: In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
Input: Her body on fire from his nearness and the scent of sandalwood that filled her head, Grace blushed as she her remembered words to Selena.
Output: | Inversion | 3 | NIv2 | task428_senteval_inversion | zs_opt | [
-0.8254648447036743,
0.8176589012145996,
0.3587076663970947,
-0.2080112099647522,
-0.12146396934986115,
-0.6864627599716187,
0.927773118019104,
0.41413503885269165,
0.23210497200489044,
0.004674019757658243,
-0.5932199358940125,
-0.70440274477005,
-0.5157174468040466,
0.06486664712429047,
... |
Q: Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Personality: My uncle use to work on fish boats in Florida.
I ve never been to the west coast of the United States.
I ve been to Canada two times my entire life.
I was once on the local news, and not for anything illegal.
My father use to drive a taxi cab in the 1970 s.
Chat history: -Hello how are you today?
-Hi there, I'm good. Just enjoying some fired chicken and chocolate cake, you?
-That sounds good! I'm watching television.
-Cool! What you watching. I might play video games in a bit.
-A show about traveling I love to travel.
-That sounds fun. Being inquisitive, I love traveling and learning new things.
-California is the next place I want to go have only been on the east coast.
-I'd love to go there. Being the youngest sibling, I did not always get to go places.
-My dad use to work for the taxi service so traveling was hard for us.
-If I were on vacation, I would love to stay up late and not get up early.
-Sometimes that's fun I have only gone to Canada a couple times.
-I have been there too. They have good friend chicken and chocolate cake. My favorite things.
A: | It is beautiful there I use to visit my uncle in Florida too. | 7 | NIv2 | task1729_personachat_generate_next | zs_opt | [
0.22255201637744904,
-0.39259013533592224,
-0.3113139271736145,
-0.12060842663049698,
-0.33228230476379395,
0.13091440498828888,
0.6715108156204224,
1.0821762084960938,
-0.6124517917633057,
0.13257527351379395,
0.600004255771637,
-0.17678731679916382,
0.08399255573749542,
-0.13152560591697... |
In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Example Input: Swedish: Allmänheten skulle inte förstå varför man talar om ett gemensamt rättsområde, att man talar om ett gemensamt luftområde, att man talar om ett gemensamt järnvägsområde och en gemensam marknad, men inte om ett maritimt område.
English: Public opinion would find it hard to understand that we talk about a common judicial area, common airspace, a common rail area and a single market, but not a common maritime area.
Example Output: Yes
Example Input: Swedish: Frihet, säkerhet och rättvisa är ett samhälles rotsystem. Det är en återspegling av varje samhälles historia, dess sociala erfarenheter och politiska utveckling.
English: We would also have liked to have seen a significant reduction in the proportion of the EU budget being allocated to agricultural aid.
Example Output: No
Example Input: Swedish: Jag frågade inte vad rådet ansåg om det förslag som kommissionen ännu inte har lagt fram, utan min fråga gäller den principiella tolkningen av artikel 255 i Amsterdamfördraget.
English: For all these reasons, I voted in favour of the text negotiated with the Council in order to reach agreement at second reading.
Example Output: | No
| 3 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
-0.4281402826309204,
0.5726161599159241,
0.5208802223205566,
0.09990964829921722,
0.6488552689552307,
-0.8648630976676941,
0.31028997898101807,
0.8723713159561157,
-0.10604678094387054,
0.5090789198875427,
0.07055928558111191,
0.6145310401916504,
-0.3448270261287689,
-0.36432236433029175,
... |
Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Ex Input:
Черупкови плодове зеленчуци, зеленчуци и зеленчуци.
Ex Output:
Оригинална храна за консумация от човека, която се дава на бебета.
Ex Input:
Ако искаш да излезеш на сцената, трябва да станеш актьор.
Ex Output:
И ако се възгордявате да излезете на сцената, тогава да станете актриси.
Ex Input:
И ще откриеш [ о, Мухаммад ] твар в явна обител.
Ex Output:
| И ще минеш през него в тъмнините.
| 1 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
0.39337122440338135,
0.22214357554912567,
0.015106799080967903,
0.059689100831747055,
-0.012737438082695007,
-0.41033050417900085,
0.7956861853599548,
1.5126423835754395,
-0.21133509278297424,
0.24284914135932922,
-0.7742131948471069,
0.014567853882908821,
-0.780404806137085,
0.23773516714... |
Teacher: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': Dollar Sign, "''": Single Quotes, ',': Comma Symbol, '-LRB-': Left Parantheses, '-RRB-': Right Parantheses, '.': Period, ':': Colon, 'ADD': Email Address, 'AFX': Affix, 'CC': Coordinating conjunction, 'CD': Cardinal Number, 'DT': Determiner, 'EX': Existential there, 'FW': Foreign Word, 'GW': Go with, 'HYPH': Hyphen symbol, 'IN': Preposition or a subordinating conjunction, 'JJ': Adjective, 'JJR': A comparative Adjective, 'JJS': A Superlative Adjective, 'LS': List item Marker, 'MD': Modal, 'NFP': Superfluous punctuation, 'NN': Singular Noun, 'NNP': Singular Proper Noun, 'NNPS': Prural Proper Noun, 'NNS': Prural Noun, 'PDT': Pre-determiner, 'POS': Possessive Ending, 'PRP': Personal pronoun, 'PRP$': Possessive Pronoun, 'RB': Adverb, 'RBR': Comparative Adverb, 'RBS': Superlative Adverb, 'RP': Particle, 'SYM': Symbol, 'TO': To , 'UH': Interjection, 'VB': Base form Verb, 'VBD': Verb in Past tense, 'VBG': Verb in present participle, 'VBN': Verb in past participle, 'VBP': Verb in non-3rd person singular present, 'VBZ': Verb in 3rd person singular present, 'WDT': Wh-determiner, 'WP': Wh-pronoun, 'WP$' Possessive Wh-pronoun, 'WRB': Wh-adverb, 'XX': Unknown, '``': Double backticks.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: Those things ended up being a windsheild washer fluid tank {{ ( }} 1 screw ) and the air filter canister ( 4 spring clips ) .
Word: (
Solution: -LRB-
Reason: "(" is the symbol for Left Parantheses (-LRB-).
Now, solve this instance: Sentence: {{ Yes }} , she and her family were delighted to leave the communistic remnants in that country .
Word: Yes
Student: | UH | 2 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.05637340620160103,
0.4149181842803955,
-0.11230126023292542,
0.3579045534133911,
0.016129180788993835,
-0.7698001861572266,
0.7160347700119019,
1.277618408203125,
-0.5541474223136902,
-0.13942644000053406,
-0.18155357241630554,
0.4617220163345337,
-0.31125378608703613,
0.1069969236850738... |
Detailed Instructions: Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Problem:Japanese: 西オーストラリア州政府国土自然保護局(CALM)の役員は、クジラが再び座礁するかもしれないことを恐れた。
Khamer: ជាមួយការអនុម័តនូវកញ្ចប់ថវិកានេះ សភាបានផ្តល់ថវិកាចំនួន 650ពាន់លានដុល្លារសហរដ្ឋអាមេរិក សំរាប់សង្គ្រាមក្នុងប្រទេសអ៊ីរ៉ាក់ និងថវិកាជិត200ពាន់លានដុល្លារសហរដ្ឋអាមេរិកទៀត សំរាប់ប្រតិបត្តិការសង្គ្រាមក្នុងប្រទេសអាហ្គានីស្ថាន។
Solution: | No | 8 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
0.2678104639053345,
0.05885571613907814,
-0.016179610043764114,
0.05406508222222328,
-0.3099502921104431,
-0.8437131643295288,
0.947760820388794,
0.4284849166870117,
-0.4509434103965759,
-0.061658650636672974,
0.48582926392555237,
0.08047866821289062,
-1.124521017074585,
0.0309838578104972... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , an individual, title of a person, description of a person);
(2) Event: Any phenomenon natural or artificial (e.g., named hurricanes, Battles, Wars, Sports events, Terrorist attacks);
(3) Entity: A thing with distinct and independent existence (Animals, Organs of body, Colors, Inventions, books and other creative pieces, Currency name, Diseases, and medicine, Food, Musical instrument, Languages, Plants, Products, Religions, Sports, Elements and substances, Symbols and signs, Techniques and methods, Equivalent terms, Vehicles);
(4) Facility: Something built for a particular purpose (Buildings, Airports, Highways, Bridges);
(5) Location: A place (Cities, Countries, Mountains, States);
(6) Law: Named documents made into laws (e.g., “the first amendment”, "civil rights act");
(7) Organization: an organized body of people with a particular purpose (Company names, e.g. Google, Cults or terrorist groups, e.g. Al Qaeda);
(8) Date: Absolute or relative dates or periods, bigger than 1 day (Years, Range, e.g. from Monday to Tuesday, or during the 20th century, Approximate time);
(9) Time: Any temporal range/unit that is shorter than a day (e.g., 2 o'clock, 1 pm);
(10) Money: Monetary values, including unit (e.g., "$26", "914$");
(11) Quantity: postcodes or other codes, the number of sth, Ranks, fractions, speed, temperature, size, area, and volume, weight (e.g., "26 degree" "17 inch");
(12) Description: description and abstract concepts (e.g., the definition of something, the manner of an action, reasons);
(13) Abbreviation: expression abbreviated (e.g., AMT = abbreviation of Amazon Mechanical Turk). Don't generate any word that is not mentioned in the list of types (Humans, Event, Entity, Facility, Location, Law, Organization, Date, Time, Money, Quantity, Description, Abbreviation). If you can not associate any of the given types with the provided question and answer pair, respond "Other".
Question: The hotel that sold for the most money in 2014 was which in NYC? (Answer: Waldorf Astoria New York).
Facility.
Question: What areas did Beyonce compete in when she was growing up? (Answer: singing and dancing).
Event.
Question: What percentage of the city's population is Caucasian? (Answer: 44%).
| Quantity.
| 0 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.7255797386169434,
0.24470782279968262,
-0.2582480311393738,
0.44361168146133423,
-0.11500032246112823,
-0.9547975063323975,
0.7686936259269714,
0.8448379635810852,
-0.31841662526130676,
-0.1887667030096054,
-0.4516323506832123,
0.6893584132194519,
-0.6430439949035645,
0.08027108013629913... |
instruction:
Given a part of privacy policy text, classify it into one of these categories:
(1) First Party Collection/Use (how and why a service provider collects user information),
(2) Third Party Sharing/Collection (how user information may be shared with or collected by third parties),
(3) User Choice/Control (choices and control options available to users),
(4) User Access, Edit, & Deletion (if and how users may access, edit, or delete their information),
(5) Data Retention (how long user information is stored),
(6) Data Security (how user information is protected),
(7) Policy Change (if and how users will be informed about changes to the privacy policy).
question:
A named third party does receive something that uniquely identifies you for legal requirements. The data is personally identifiable.
answer:
Third Party Sharing/Collection
question:
A type of user outside of our label scheme can delete their account (with the company or organization removing all data), within the scope of information the company has learned about the user.
answer:
User Access, Edit and Deletion
question:
An unspecified third party does receive your unspecified personal information for an unspecified purpose. You can opt in for data collection.
answer:
| Third Party Sharing/Collection
| 9 | NIv2 | task682_online_privacy_policy_text_classification | fs_opt | [
-0.05825997516512871,
-0.03820524737238884,
-0.8036167025566101,
0.109612375497818,
-0.09553004801273346,
-0.5714739561080933,
0.12492914497852325,
0.8545142412185669,
0.20116916298866272,
0.5718196034431458,
0.05400025472044945,
-0.12384913861751556,
-0.3959035277366638,
-0.96137177944183... |
Definition: 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.
Input: ভারতে মালাউন মারা যাওয়া বাংলাদেশে দিনের শোক দিবস পালন করা উচিত সরকারের
Output: | non-personal | 2 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.33401936292648315,
-0.23552562296390533,
-0.02662024088203907,
0.23950114846229553,
-0.7183020114898682,
-0.3715594410896301,
0.918952226638794,
-0.20614093542099,
-0.10382845997810364,
-0.2079264223575592,
-0.8385773301124573,
0.10256421566009521,
-0.012387420050799847,
0.5184082388877... |
You are given a statement written in Oriya. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Q: Statement: ପ୍ରାଚୀନ କାଳରେ, ଏହି ଦୁର୍ଗଟି ଜେଜାକଭୂକ୍ତି (ଜୟଶକ୍ତି ଚାନ୍ଦେଲ ସାମ୍ରାଜ୍ୟ ଅଧୀନରେ ଥିଲା । ପରେ ଏହା ଦଶମ (ଦଶମ) ଶତାବ୍ଦୀ ପର୍ଯ୍ୟନ୍ତ ଏବଂ <MASK> ସୋଲାନ୍କିସ୍ ଅଧୀନରେ ରାଜପୁତଙ୍କ ଅଧୀନରେ ରହିଲା । ଏହି ରାଜାମାନଙ୍କ ଶାସନ କାଳରେ, ମହମୁଦ ଗଜନାଭି, କୁତବୁଦ୍ଦିନ ଆଇବାକ୍, ଶେର୍ ଶାହା ସୁରି ଏବଂ ହ୍ୟୁମାନୁ ଇତ୍ୟାଦି ଆକ୍ରମଣ କରିଥିଲେ, କିନ୍ତୁ ଏହାକୁ ଜୟ କରିବାରେ ବିଫଳ ହୋଇଥିଲେ । କାଲିଞ୍ଜର ବିଜୟ ଅଭିଯାନରେ ଶେର ଶାହା ତୋପ ଗୁଳିରେ ମୃତ୍ୟୁ ବରଣ କରିଥିଲେ । ମୋଗଲ ରାଜତ୍ୱ ସମୟରେ ସମ୍ରାଟ ଆକବର ଏହାକୁ ଗ୍ରହଣ କଲେ । ଏହା ପରେ, ଯେତେବେଳେ ଛତ୍ରସାଲ ବୁନ୍ଦେଲା ବୁନ୍ଦେଲଖଣ୍ଡକୁ ମୋଗଲମାନଙ୍କଠାରୁ ମୁକ୍ତ କଲେ, ସେତେବେଳେ ଏହି ଦୁର୍ଗ ବୁନ୍ଦେଲା ଅଧୀନକୁ ଆସିଲା ଏବଂ [ଛତ୍ରସାଲ ବୁନ୍ଦେଲା] ଏହାକୁ ଅଧିକାର କଲେ । ପରେ ଏହା ବ୍ରିଟିଶମାନଙ୍କ ଅଧୀନରେ ଆସିଲା ।
Option A: ରେୱା
Option B: ଭାରତୀୟ
Option C: ଖଜୁରାହୋ
Option D: ଉତ୍ତରପ୍ରଦେଶ
A: ରେୱା
****
Q: Statement: କଲରାପତରିଆ ବାଘଙ୍କ ଶରୀର ଚମଡ଼ା ଲାଲ୍ ରଙ୍ଗର ହୋଇଯିବା ଖୁବ୍ କମ୍ ସମୟରେ ଦେଖାଯାଏ । ଏହି ରୂପ ବିଶିଷ୍ଟ ଜୀବକୁ ଷ୍ଟ୍ରବେରି କଲରାପତରିଆ ବାଘ କୁହାଯାଏ । ଏହା ଏକ ପ୍ରକାରର ସ୍ୱତନ୍ତ୍ର ଜେନେଟିକ୍ ଅବସ୍ଥା । ବିଭିନ୍ନ ସୂତ୍ରରୁ ଜଣାଯାଏ ଯେ <MASK>ରେ ୫ଟି, ଦକ୍ଷିଣ ଆଫ୍ରିକାରେ ୭ଟି ଷ୍ଟ୍ରବେରି କଲରାପତରିଆ ବାଘ ଦେଖାଯାଇଛନ୍ତି ।
Option A: ଇଟାଲୀ
Option B: ଉତ୍ତରାଖଣ୍ଡ
Option C: ସିରିଆ
Option D: ଭାରତ
A: ଭାରତ
****
Q: Statement: ୨୦୦୨ ମସିହା ଫେବୃଆରୀରେ ବିଶ୍ୱହିନ୍ଦୁ ପରିଷଦଦ୍ୱାରା <MASK>ରେ ଆୟୋଜିତ ପୂର୍ଣ୍ଣାହୁତି ମହାଯଜ୍ଞ''ରେ ଯୋଗଦେବା ପାଇଁ ଗୁଜରାଟରୁ ରାମ ସେବକ ବା କର ସେବକମାନେ ଯାଇଥିଲେ । ୨୫ ଫେବୃଆରୀରେ ପ୍ରାୟ ୨,୦୦୦-୨,୨୦୦ ଜଣ କର ସେବକ ସାବରମତି ଦ୍ରୁତଗାମୀ ଟ୍ରେନରେ ଚଢିଥିଲେ । ଟ୍ରେନଟି ଅହମଦାବାଦ ଷ୍ଟେସନ ଦେଇ ଯିବା ବାଧ୍ୟ ଥିଲା । ଟ୍ରେନ ୨୭ ଫେବୃଆରୀ ୨୦୦୨ରେ ସକାଳ ୭ଟା ୪୩ ସମୟରେ ଗୋଧ୍ରାଠାରେ (ଚାରି ଘଣ୍ଟା ବିଳମ୍ବରେ) ପହଞ୍ଚିବାକୁ ନିର୍ଦ୍ଧାରିତ ହୋଇଥିଲା । ଟ୍ରେନ ପ୍ଲାଟଫର୍ମ ଛାଡ଼ିବା କ୍ଷଣି କେହି ଜଣେ ଆପାତକାଳୀନ ଅଟକ ଚେନ ଟାଣିଦେଇଥିଲା । ଫଳରେ ଟ୍ରେନଟି ସିଗନାଲ ପଏଣ୍ଟରେ ଅଟକିଯାଇଥିଲା । ଚେନ ଅନେକ ଥର ଟଣାଯାଇଥିଲା ବୋଲି ନିଜ କ୍ୟାବିନରେ ଥିବା ଯନ୍ତ୍ରରୁ ଜଣା ପଡ଼ିଥିଲା ବୋଲି ଟ୍ରେନ ଡ୍ରାଇଭର ତାଙ୍କ ବୟାନରେ କହିଥିଲେ ।
Option A: ଅହମଦାବାଦ
Option B: ଅଯୋଧ୍ୟା
Option C: ଗୋଧ୍ରା
Option D: Karachi
A: | ଅଯୋଧ୍ୟା
****
| 4 | NIv2 | task951_wiki_cloze_or_multiple_choice_question_answering | fs_opt | [
0.05653825029730797,
0.9166817665100098,
-0.4894881546497345,
-0.21513628959655762,
-0.1627371609210968,
-0.767123281955719,
-0.2304263859987259,
0.9330507516860962,
-0.4180431663990021,
0.027712412178516388,
-0.49029409885406494,
-0.13463370501995087,
-0.013643360696732998,
-0.16020952165... |
Translate from English to Hindi.
--------
Question: Lucky fuck.
Answer: फालतु बकवास.
Question: Get busy living or get busy dying?
Answer: जीने में लग जाओ, मरने में लग जाओ.
Question: You and your father want to get rich?
Answer: | तुम और तुम्हारे पिता अमीर बनना चाहते हो न?
| 7 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
-0.40550345182418823,
0.8169620633125305,
-0.04877707362174988,
-0.46327894926071167,
-0.39680010080337524,
-0.22349229454994202,
0.802812933921814,
0.07496985793113708,
0.14823073148727417,
-0.5378669500350952,
-1.2534834146499634,
0.2059195339679718,
-0.7354753017425537,
-0.0162535216659... |
You will be given a passage with an enumerated set of facts, a question of form 'Where is <person_name>?', and its answer. The task is to identify a supporting fact that is necessary to answer the question. The output would be the corresponding fact number.
Passage: Fact 1- Daniel moved to the garden. Fact 2- John went to the kitchen. Fact 3- Mary went to the office. Fact 4- Sandra travelled to the bedroom. Fact 5- Mary went to the bathroom. Fact 6- John journeyed to the bathroom. Fact 7- Mary went back to the office. Fact 8- John went back to the kitchen. Fact 9- John moved to the office. Fact 10- Mary journeyed to the bathroom. Question: Where is John? Answer: office | Fact 9 | 0 | NIv2 | task084_babi_t1_single_supporting_fact_identify_relevant_fact | zs_opt | [
0.2867477536201477,
0.6825972199440002,
-0.9781936407089233,
-0.7366421222686768,
-0.9455058574676514,
-0.5213128328323364,
0.43229255080223083,
0.20593518018722534,
0.059266820549964905,
0.09109179675579071,
-0.6989735960960388,
0.19298744201660156,
-0.5388083457946777,
0.0362103171646595... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Input: ولی این یک بیان احتمالاتیه.
Output: | Mas isso é uma afirmação probabilística. | 3 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.6373632550239563,
1.3848915100097656,
-0.13663053512573242,
0.22773565351963043,
-0.5825390815734863,
-0.05416383966803551,
-0.07698376476764679,
1.3568755388259888,
0.9550905227661133,
-0.4743250012397766,
-1.7818853855133057,
0.3437531590461731,
0.30917221307754517,
0.1501944661140442... |
Q: 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.
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: 'id like to find a restaurant in the fen ditton i dont care about the price range'
System: 'What kind of venue are you looking for? For example, a pub, or a restaurant.'
User: 'a restaurant'
System: 'What part of town do you have in mind? For example, something in the Barnwell, Chesterton, or Trumpington area.'
User: 'fen ditton'
System: 'Are you looking for somewhere near a particular venue? For example, Churchill College, Kettle's Yard, or the Scott Polar Museum.'
User: 'fen ditton'
System: 'Are you looking for somewhere near a particular venue? For example, Clare College, the Lynne Strover Gallery, or Trinity College.'
User: 'no'
System: 'The Oak Bistro, which is in the Trumpington part of town, is a great restaurant.'
User: 'what is the address phone number'
System: 'The Oak Bistro is on 6 Lensfield Road and its phone number is 01223323361.'
User: 'and type of food at the venue'
System: 'The Oak Bistro is an outstanding restaurant.'
User: 'what is the address phone number and type of food at the venue'
System: 'The Oak Bistro is located on 6 Lensfield Road and its phone number is 01223323361.'
User: 'what is the type of food'
System: 'The Oak Bistro serves contemporary food.'
User: 'thank you good bye'
A: | You want to find a restaurant in Fenditton. You don't care about the price range. You want to know the address, phone number, and type of food of the venue. | 7 | NIv2 | task1499_dstc3_summarization | zs_opt | [
0.2645554840564728,
0.37071454524993896,
-0.6459739208221436,
-0.26813265681266785,
0.2787359356880188,
-1.0063235759735107,
0.12575048208236694,
0.8504329323768616,
0.04417182505130768,
0.37506163120269775,
0.5275448560714722,
-0.33399826288223267,
-0.013369550928473473,
0.010877552442252... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes more sense.
Title: Disc Golf. Sentence 1: Chris was eating lunch with his friends. Sentence 2: They were talking about playing disc golf. Sentence 3: Chris had never played before and was interested. Sentence 4: His friends invited him to join them. Choices: a. He joined his friends for disc golf and had an enjoyable time. b. Charlie ended up staying home another day.
Output: | a | 1 | NIv2 | task213_rocstories_correct_ending_classification | zs_opt | [
-0.16823306679725647,
-0.027857042849063873,
-0.09219977259635925,
-0.0319981575012207,
-0.26993030309677124,
-0.03914738446474075,
0.4401940703392029,
0.6437721252441406,
0.5792450904846191,
0.3713838458061218,
-0.40320533514022827,
-0.08529695123434067,
-0.13126486539840698,
0.1399831473... |
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Q: And we can see this shift from trees into networks in many domains of knowledge.
A: ואנחנו יכולים לראות את התפנית הזאת מעצים לרשת בתחומים רבים של ידע.
****
Q: So, if I have to send money to my father in the village, I must send money through that particular money transfer company, even if the cost is high.
A: אם כך, אם אני צריך לשלוח כסף לאבי שבכפר, אני מוכרח לשלוח כסף דרך חברת העברת הכספים הספציפית הזו, אפילו אם העלות היא גבוהה.
****
Q: So it took four years to take apart.
A: | אז זה לקח ארבע שנים לפרק אותו.
****
| 4 | NIv2 | task1221_ted_translation_en_he | fs_opt | [
-0.4227038025856018,
0.6166777610778809,
0.06770612299442291,
-0.10341952741146088,
-0.12047573179006577,
-0.3212435841560364,
0.7935668230056763,
0.17645351588726044,
0.628301739692688,
-0.5103567242622375,
-0.33166879415512085,
0.21309125423431396,
-0.9174785017967224,
0.2655152082443237... |
Given the task definition and input, reply with output. In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
15107
| Yes | 5 | NIv2 | task092_check_prime_classification | zs_opt | [
-0.5590800642967224,
0.7389944791793823,
0.11336880922317505,
-0.3824637532234192,
-0.3283568024635315,
-0.19300062954425812,
0.5486990213394165,
0.7049237489700317,
0.04855704307556152,
0.22967016696929932,
-0.9150952100753784,
-0.12230321764945984,
-0.3627223074436188,
-0.390042960643768... |
Instructions: In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Input: Article: If your dog looks pleased to see you - it is probably because it loves the particular way you smell. The odour of a familiar human apparently lingers like perfume in the animal's brain - where it triggers an instinctive emotional response, research published yesterday reveals. Our scent acts on a part of the canine brain associated with reward and the strongest reactions are produced by humans that pets know best, say scientists in America. Gregory Berns, of Emory University in Atlanta, said: 'While we might expect that dogs should be highly tuned to the smell of other dogs, it seems that the "reward response" is reserved for their humans. 'When humans smell the perfume or cologne of someone they love, they may have an immediate, emotional reaction that's not necessarily cognitive. 'Our experiment may be showing the same process in dogs. But since dogs are so much more olfactory than humans, their responses would likely be even more powerful than the ones we might have. 'It's one thing when you come home and your dog sees you and jumps on you and licks you and knows that good things are about to happen. 'In our experiment, however, the scent donors were not physically present. Why do animals avoid pylons? Because they emit terrifying flashes of light that are INVISIBLE to humans. Dolphins use sponges to protect their sensitive noses while foraging for food on the sea floor 'That means the canine brain responses were being triggered by something distant in space and time. It shows that dogs' brains have these mental representations of us that persist when we're not there.' The university's experiment - the first of its type - involved 12 dogs of various breeds who underwent brain scans while five different scents were placed in front of them. The scent samples came from the subject itself, a dog the subject had never met, a dog that lived in the subject's household, a human the dog had never met, and a human that lived in the subject's household. The familiar human scent samples were taken from someone else from the house other than the handlers during the experiment, so that none of the scent donors were physically present. The results showed that all five scents elicited a similar response in parts of the dogs' brains involved in detecting smells. Responses were significantly stronger for the scents of familiar humans, followed by that of familiar dogs. The findings, which were published in the journal Behavioural Processes, showed that dogs reacted strongest to the scent of a familiar human even when they were not there. Pets trained as help or therapy dogs showed greater brain activity than the other dogs in the test. Researchers say the findings could improve the way animals who assist wounded veterans or disabled people are selected.
Question: Why does your dog look pleased to see you ?
Options: (A) because your dog wants to play with you (B) because your dog is hungry (C) because your dog wants to attract your attention (D) because your dog loves the particular way you smell.
Asnwer: D
Output: | Yes | 3 | NIv2 | task310_race_classification | zs_opt | [
0.23845069110393524,
0.45497745275497437,
-0.3756088614463806,
-0.10612887144088745,
0.3996811509132385,
-0.6663075685501099,
0.5852905511856079,
0.4554467797279358,
-0.008981755003333092,
-0.03750452771782875,
0.08246013522148132,
0.9924330115318298,
-0.1671207696199417,
-0.10817296802997... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with 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.
Problem:Sentence 1: Men with their hands raised are wearing karate uniforms. Sentence 2: Men with their fists raised are wearing karate uniforms.
Solution: | Men with their hands raised are wearing uniforms. | 8 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.29685258865356445,
0.5531808137893677,
-0.33246248960494995,
-0.46101707220077515,
-0.1013142541050911,
-0.3583141565322876,
0.6124465465545654,
0.41127660870552063,
0.1906844675540924,
-0.5785079002380371,
-0.897049069404602,
-0.42113953828811646,
-0.9538995027542114,
-0.10256133973598... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY, or others, feel what is mentioned in the Tail or not. Feelings in this task are the emotional reactions on the part of PersonY or other participants in an event. For example, as a result of gift-giving, others (in this case, PersonY) might feel appreciated. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Ex Input:
Head: PersonX adapts ___ to conditions<sep>Tail: things go well
Ex Output:
No
Ex Input:
Head: PersonX screams in pain<sep>Tail: like they need to come to his aid
Ex Output:
Yes
Ex Input:
Head: PersonX arrives to the restaurant<sep>Tail: Social
Ex Output:
| No
| 1 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.26397567987442017,
-0.0006581239285878837,
0.15780042111873627,
0.16470852494239807,
-0.35398632287979126,
-1.0082976818084717,
1.1102718114852905,
0.9822887182235718,
-0.335599422454834,
-0.24786406755447388,
-0.2956618666648865,
-0.11085104942321777,
-1.125827431678772,
0.1720929294824... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surprise', 'happiness', 'sadness', 'anger', 'disgust'.
Example Input: Person1: What shall we do tonight ?
Person2: How about the cinema ?
Person1: That's a good idea.We haven't been there for ages .
Person2: What would you suggest to see ?
Person1: Oh , I don't know.It depends .
Example Output: No emotion,happiness,happiness,No emotion,No emotion
Example Input: Person1: Which services offered by your band do you use most ?
Person2: I use several services . Of course , I deposit and withdraw money quite often . I often use my ATM card to take money out of my current account . I use my bank to exchange money form once currency t
Person1: Do you ever ask you bank for traveller's cheques ? They are much safer than carrying lots of cash around .
Person2: I sometimes use traveller's cheques , but sometimes I travel to countries where they are hard to exchange for cash .
Person1: Do you use your bank to pay your utility bills ? I use direct debit .
Person2: Yes , I do . It saves me a lot of time . I also have standing orders for my subscriptions to magazines .
Person1: That ’ s good idea . You don ’ t need to worry about missing an issue of a magazine if you do that . I suppose you have a mortgage too .
Person2: Yes . My bank offers very good terms and conditions on mortgage . There ’ s a lot of competition between banks nowadays . Each one is trying to offer better conditions and services than the others .
Person1: I have a deposit account with my bank . There are some restrictions on withdrawing money , but the interest rate is much higher .
Person2: I don ’ t have one . I prefer to buy shares . My bank also provides a share trading service . It ’ s cheap and easy to use .
Person1: That ’ s great . But I prefer to put my money somewhere where the returns are more certain .
Example Output: No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion
Example Input: Person1: Amanda , how do you like this peaked cap ?
Person2: Didn't you say you want to buy a top hat ?
Person1: But I think this one fits me Well . Why don't you try on the sombrero in black ?
Person2: I don't like caps at all .
Example Output: | No emotion,No emotion,No emotion,No emotion
| 3 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.7483013272285461,
-0.1034432053565979,
-0.36984631419181824,
0.32240575551986694,
0.11359872668981552,
-0.34632959961891174,
0.8847390413284302,
0.34193241596221924,
-0.04980919510126114,
0.05052429437637329,
-0.022379722446203232,
-0.0037338801193982363,
-0.5372560024261475,
0.102144926... |
Teacher: 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\*.
Teacher: Now, understand the problem? If you are still confused, see the following example:
when are hops added to the brewing process?
Solution: The boiling process
Reason: The answer is correct because, at the end of the boil, solid particles in the hopped wort are separated.
Now, solve this instance: where was kievan rus and why is it named that
Student: | Europe | 2 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
0.10312078148126602,
0.3354889154434204,
0.062003374099731445,
-0.0424722284078598,
-0.4176928400993347,
-0.8114138841629028,
0.7992774844169617,
0.4475535750389099,
0.11558525264263153,
-0.018540285527706146,
-0.12754949927330017,
-0.04343762621283531,
-0.4639066457748413,
0.1456570625305... |
In this task, you are given a sentence in Persian, and you have to paraphrase it. The paraphrased sentence must have the same meaning as the input.
Q: بهترین استراتژی برای موفق شدن در JEE Advance در اولین تلاش چیست؟
A: | بهترین استراتژی برای پاس کردن JEE اصلی و پیشرفته چیست؟ | 4 | NIv2 | task466_parsinlu_qqp_text_modification | zs_opt | [
-0.1723509132862091,
1.418060541152954,
-0.3779076933860779,
-0.37363922595977783,
-0.22218143939971924,
0.1052195131778717,
0.9857063293457031,
0.6029386520385742,
0.08697140961885452,
0.27405253052711487,
-0.3044043779373169,
-0.33153510093688965,
-0.8185197114944458,
0.6903151273727417,... |
TASK DEFINITION: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should 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.
PROBLEM: User: What are the symptoms of a heart attack?
Computer: do you know what a heart attack is
SOLUTION: yes i want to know about how the signs differ by sex
PROBLEM: User: Find music, tour dates, and information about the musician Neil Young.
Computer: i can show you his songs lyrics would that be okay
SOLUTION: no i am interested in finding neil youg albums i can buy
PROBLEM: User: What are the best places to find morel mushrooms growing?
Computer: what are you trying to do with the mushrooms
SOLUTION: | using them to cook
| 8 | NIv2 | task1714_convai3_sentence_generation | fs_opt | [
0.33713117241859436,
0.11011572182178497,
-0.4589311480522156,
0.2888294756412506,
0.2086215615272522,
-0.014126567170023918,
0.7284836769104004,
0.3081618547439575,
0.3339218199253082,
0.45896613597869873,
0.16776730120182037,
-0.26067519187927246,
-0.6570783853530884,
0.11697465926408768... |
You will be given a definition of a task first, then some input of the task.
In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, like: [1,2,3].
[-23, -57]
Output: | [-40.0] | 1 | NIv2 | task124_conala_pair_averages | zs_opt | [
-0.8274012804031372,
0.4183835983276367,
-0.8084649443626404,
-0.10228302329778671,
-0.07710886001586914,
0.37415027618408203,
0.39910823106765747,
0.5292390584945679,
0.06459739804267883,
-0.2976909279823303,
-0.7601854801177979,
-0.1577042043209076,
-0.06782598793506622,
0.17970247566699... |
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Let me give you an example: Sentence: 'Harry glanced again at the raw looking thing that trembled and choked in the shadow beneath the distant chair.', Argument/Subject 1: 'Harry', Argument/Subject 2: 'raw looking thing'
The answer to this example can be: glance
Here is why: The sentence contains the generated relationship - glance, mentioned between two subjects - Harry and raw looking thing
OK. solve this:
Sentence: 'Seagate replaces CEO , plans ...', Argument/Subject 1: 'seagate', Argument/Subject 2: 'ceo'
Answer: | replace | 8 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.14010579884052277,
0.8654652833938599,
0.17524372041225433,
-0.6205320358276367,
-0.5018818974494934,
-0.9443188905715942,
0.04300224781036377,
0.9687508344650269,
0.0241702813655138,
-0.34039515256881714,
0.19213812053203583,
-0.3087971806526184,
0.01580774411559105,
0.3192024528980255... |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it will be labeled as 'Favor' also if the tweets state information or news rather than stating opinion then it will be characterized as 'Neutral'.
Q: Tweet: Autodeterminació i llibertat: - Autodeterminació com a dret inalienable del poble català - Llibertat dels presos polítics i retorn dels exiliats. Aquests són els dos únics punts que hem de negociar al Congreso: AUTODETERMINACIÓ i LLIBERTAT. O negocien, o #NoATot Votem NO a TOT.
A: Favor
****
Q: Tweet: #ElMiradorRE #Judici #1O #Acusats amb @jotajlpf @UABBarcelona i @jmbalcells @periodistes_cat Pérez Francesch: Aquest és el judici de la postveritat, amb relats impenetrables Més informació AQUÍ-> https://t.co/qOhS8SVXA0 https://t.co/A8GsEbZmsS
A: Favor
****
Q: Tweet: RT @Dumacbcn: Es demà quan declara Chordi Quisar? #judicifarsa
A: | Favor
****
| 4 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt | [
-0.0408693328499794,
0.05753031000494957,
-0.3774818480014801,
-0.0072897933423519135,
0.351301908493042,
-0.7716988325119019,
0.8620799779891968,
1.1485998630523682,
0.369693398475647,
0.18073728680610657,
-0.40317779779434204,
0.3237135410308838,
-0.23102112114429474,
0.25590813159942627... |
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
Example input: [1, 2, 3]
Example output: [0.167, 0.333, 0.500]
Example explanation: The output list sums to 1.0 and has the same weight as the input 0.333 is twice as large as 0.167, .5 is 3 times as large as 0.167, and 0.5 is 1.5 times as large as 0.333. This is a good example.
Q: [104.247, 227.803, 153.559, 224.166]
A: | [0.147 0.321 0.216 0.316] | 3 | NIv2 | task093_conala_normalize_lists | fs_opt | [
0.002544531598687172,
0.450265109539032,
-1.0002431869506836,
-0.6900765895843506,
0.47594624757766724,
-0.0886792466044426,
0.6860536336898804,
0.0652376115322113,
-0.043972089886665344,
0.05297110229730606,
-0.7121471166610718,
0.34549763798713684,
-0.017685070633888245,
-0.4747216701507... |
Definition: In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the passage can be used to answer the question. Indicate your choice as `a` for Yes or `b` for No.
Input: Question: Did the regiment Edmund commanded until 1942 take part in any famous battles? Passage:During the Second World War Hakewill-Smith initially served as Commanding Officer (CO) of the 5th Battalion, Devonshire Regiment, for several months from May 1940 and from September that year, as the CO of the 4th/5th Battalion, Royal Scots Fusiliers, as an acting lieutenant colonel. He was promoted to temporary brigadier on 30 March 1941, and commanded the 157th Infantry Brigade until late March 1942. He then became Director of Organization at the War Office before assuming command of the 155th Infantry Brigade in mid-February 1943. On 26 December 1943, promoted to temporary major general, he assumed command of the mountain warfare-trained 52nd (Lowland) Infantry Division from Major-General Neil Ritchie as its General Officer Commanding (GOC). He commanded the 52nd Division during the campaign in North-West Europe, from October 1944 until May 1945.
Output: | b | 2 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
0.7216235995292664,
-0.17238831520080566,
0.31086939573287964,
0.031239215284585953,
0.11955628544092178,
-1.2218736410140991,
1.083449125289917,
0.8292375802993774,
0.3909381031990051,
0.09287211298942566,
-0.2942320704460144,
0.22089196741580963,
-0.5099145174026489,
0.807635486125946,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Example Input: Idealna odskocznia od codzienności w idealnym samochodzie.
Example Output: 完璧な車で完璧な休暇
Example Input: Wjeżdżaliśmy pod górę w kierunku imponujących Gór Błękitnych na zachód od Sydney, był piękny jesienny dzień: słoneczna pogoda, zapach eukaliptusa i marzenie.
Example Output: 向かう先にはシドニーの西の雄大なブルーマウンテンズが見えていました快晴の秋空でした太陽が輝きユーカリが香り夢で溢れていました
Example Input: Pędy wydają się małe, lecz szukając słońca potrafią przebić mur.
Example Output: | 芽 (シューツ) は小さくても太陽に届くためにレンガの壁も突き抜けることができます
| 3 | NIv2 | task1257_ted_translation_pl_ja | fs_opt | [
-1.3010618686676025,
0.31283000111579895,
-0.4372781813144684,
-0.38216081261634827,
-0.44797995686531067,
-0.7114396095275879,
0.9638938903808594,
-0.1872691810131073,
0.16385966539382935,
-0.814315915107727,
-0.1388186514377594,
0.5727688074111938,
0.4753035306930542,
0.23250120878219604... |
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 coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Input: Beginning: Nick has writer's block. Middle 1: Nick gave up trying to get over his writer's block. Middle 2: Nick meditated to get over his writer's block. Ending: Nick is pleased with his results.
Output: | 2 | 3 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.6950756311416626,
0.6780689358711243,
0.4252939820289612,
0.04275975003838539,
-0.19849231839179993,
-0.07004387676715851,
0.49418389797210693,
0.43053269386291504,
0.29974427819252014,
0.30111950635910034,
-0.33080458641052246,
-0.2689727246761322,
-0.7955403923988342,
-0.0798545256257... |
instruction:
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.
question:
body is driven by heart heart collaborates mind
answer:
heart collaborates with the mind .
question:
and mostly those came out of the labs he ’ d worked in , so he named them what they were , in all their chemical parts .
answer:
and they mostly came from the lab where he worked , so he called them their real names , all of the chemical components .
question:
but if it does , that 's kind of debt the company takes on .
answer:
| but if it is applied , it is a debt that the firm has taken on itself .
| 9 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
0.10098491609096527,
0.8222364187240601,
-0.09983650594949722,
-0.8786965012550354,
-0.4531780481338501,
-0.8355581760406494,
0.5635536909103394,
-0.5313510894775391,
-0.24404191970825195,
-0.621027946472168,
-0.5713844895362854,
-0.21726258099079132,
-0.7964598536491394,
0.884138941764831... |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Q: Tweet: @denytheprophecy thanks for ignoring my texts fag
Label: Hate Speech
A: | true | 4 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-1.5551478862762451,
0.39709973335266113,
1.09507417678833,
0.05023084953427315,
-0.5219219923019409,
-1.7204469442367554,
0.014959713444113731,
0.42740535736083984,
0.5002998113632202,
0.5470558404922485,
-0.8674160242080688,
-0.31226953864097595,
-0.8464902639389038,
-0.638698935508728,
... |
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction. Sentences belonging to 'face-to-face' genres relate to conversations or dialogues, 'government' encompasses information released from public government websites, 'letters' refers to any written work for philanthropic fundraising, '9/11' relates to information pertaining to the 9/11 attacks, 'oup' includes non-fiction works on the textile industry and child development, 'slate' refers to any cultural topic that appears in the slate magazine, 'telephone' includes telephonic dialogue, 'travel' deals with information in travel guides, 'verbatim' includes short posts regarding linguistics, and 'fiction' includes popular works of fiction like 'The Secret Adversary' etc.
Sentence 1: A $3 million cost resulting from the loss of revenue is estimated from the tobacco marketing card and the undivided interest language which allows a landowner to obtain catastrophic coverage to satisfy the linkage requirement for all other landowners who hold an undivided interest in given insurable acreage. Sentence 2: There was no extra costs or revenue losses. Genre: government. | Y | 0 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-0.9126862287521362,
0.5136861801147461,
0.05149059742689133,
-0.8835690021514893,
0.03203023597598076,
0.45263487100601196,
0.4872265160083771,
0.9287851452827454,
0.30516111850738525,
-0.10150732100009918,
-0.5257148742675781,
0.03985749930143356,
-0.5689727067947388,
-0.2850190699100494... |
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 |
Q: Context Word: design.
Question: It is easy to design a badge but not a mural as the _ is comparatively small.
Answer: badge.
A: | It is easy to design a badge but not a mural as the _ is comparatively large. | 4 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.5598400831222534,
0.3446331024169922,
0.1420082151889801,
-0.18868711590766907,
0.5465681552886963,
-0.7612279653549194,
0.8852048516273499,
1.1195957660675049,
-0.5950690507888794,
-0.2946687340736389,
-0.48559653759002686,
0.31899526715278625,
-0.5557258129119873,
0.018105268478393555,... |
A text is given in Oriya. Translate it from the Oriya language to the Telugu language. The translation must not omit or add information to the original sentence.
6 ఖాదీ సంస్థలకు రూ. 3. | ସରକାରୀ ଯୋଜନାର ଲାଭ ଗରିବଙ୍କ ପାଖରେ ପହଞ୍ଚିବା ଆବଶ୍ୟକ: ଉପରାଷ୍ଟ୍ରପତି | 0 | NIv2 | task1020_pib_translation_telugu_oriya | zs_opt | [
0.03491862863302231,
1.0564548969268799,
-0.3668642044067383,
0.39354532957077026,
-0.32261598110198975,
0.08716771006584167,
0.5715370178222656,
0.49447521567344666,
0.013256572186946869,
-0.9599250555038452,
-0.5115137100219727,
-0.706369161605835,
-0.7335416078567505,
0.2664624452590942... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
[Q]: כאסטרופיזיקאית, יש לי זכות מדהימה של חקר של כמה מהעצמים הכי אקזוטיים ביקום שלנו.
[A]: As an astrophysicist, I have the awesome privilege of studying some of the most exotic objects in our universe.
[Q]: לבסוף ביצעתי עבודות תרגום בגיל 16 כאשר שבתי לארצות הברית, והמשכתי ביישום הגישה של חומר מול שיטה כדי ללמוד קרוב ל12 שפות.
[A]: Ended up doing translation work at age 16 when I returned to the U.S., and have continued to apply this material over method approach to close to a dozen languages now.
[Q]: כך שהתפוקה של הכוורות בעיר, במונחי ייצור דבש, גבוהה יותר, וכך גם ההישרדות אחרי תרדמת החורף, בהשוואה לאזורים הכפריים.
[A]: | So the yield for urban hives, in terms of honey production, is higher as well as the overwintering survival, compared to rural areas.
| 5 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.6395129561424255,
0.4238855540752411,
0.6964724063873291,
-0.38667041063308716,
-0.34805917739868164,
-0.4696710705757141,
0.3581855297088623,
0.05112569406628609,
0.8181464672088623,
-0.8070942163467407,
-0.4896535873413086,
-0.025504279881715775,
-0.9929922819137573,
0.033737689256668... |
Given the task definition, example input & output, solve the new input case.
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Example: We notice a man in a kayak and a yellow helmet coming in from the left. As he approaches, his kayak
Output: flips upside - down
Flipping of the kayak is a probable event. It is a logical next statement, given the context.
New input case for you: A third player steps up and throws the discuss in slow motion. Several other players
Output: | serve the ball and kick the ball across the net. | 1 | NIv2 | task453_swag_answer_generation | fs_opt | [
0.28223806619644165,
0.39456474781036377,
-0.24543461203575134,
0.05004778876900673,
-0.05398280918598175,
0.4137657582759857,
-0.13221809267997742,
0.6486438512802124,
0.5835397243499756,
0.07975591719150543,
-0.06000644713640213,
0.2599370777606964,
-0.24797853827476501,
-0.1751817762851... |
Given the task definition, example input & output, solve the new input case.
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"
Example: 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
Output: True
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.
New input case for you: Review: I bought this rather large bottle of rose scented witch hazel for myself. I was so excited when I got it, because it smelled so much better than just plain boring witch hazel and it had a cool looking bottle. And need I mention, once again, the size... there was so much of it, I knew for sure it would last me forever. *sigh* Apparently my husband loved the smell of it too. He began using it as an added scent in his oil diffusers and putting it in his bath, using it as toner for his face 5 times a day (at least that's what it seemed like to me!) I can't even guess what other ways he must have used it while I wasn't looking. Every day I would stand in the bathroom shocked as I watched my bottle of witch hazel dwindle down to nothing in a matter of 2 weeks... guess next time I'll try the lavendar.
Rating: 1
Output: | False | 1 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
0.0022878306917846203,
0.6346516609191895,
-0.10527659207582474,
0.44930458068847656,
0.45547476410865784,
-0.6651910543441772,
0.8743888735771179,
0.9192000031471252,
-0.2137608379125595,
0.2661437392234802,
-0.12631136178970337,
0.5100119113922119,
-0.37470877170562744,
-0.25637406110763... |
Given the task definition and input, reply with output. 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.
Beginning: Kevin went to the cleaners to pick up his suit. Middle 1: THe returned the suit because it was the wrong one. Middle 2: Kevin bought the suit because it was the right one. Ending: Upon inspection, Kevin realized that he got the wrong suit twice.
| 2 | 5 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
-0.9249129891395569,
0.5006590485572815,
0.19545143842697144,
0.15784820914268494,
-0.6082313060760498,
-0.03672432899475098,
0.0756363719701767,
0.3916664123535156,
0.019937671720981598,
-0.06600775569677353,
-0.7821041941642761,
0.20015236735343933,
-0.4842923879623413,
-0.04591432586312... |
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.
Ex Input:
18, 22, ['2445', 'L', 'x', 'i', '9929', '3105', 'v', '445', 'O', '353', 'j', '9877', 'D', 'U', '885', '9485', 'V', '8219', '2963', '685', '1659', 'U']
Ex Output:
U165968529638219
Ex Input:
4, 5, ['u', 'P', '3415', '9257', '97', '9323', '6771', 'z', 's']
Ex Output:
979257
Ex Input:
2, 2, ['j', 'X', '2403', 'X', 'K', 'C', 'X', '1467', 'Q', '2115', 'I', 'x', '7183', 'C', 'a', 'd', 'H']
Ex Output:
| X
| 1 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | fs_opt | [
0.2715553939342499,
-0.08024606853723526,
-0.7810953855514526,
-0.43564409017562866,
-0.4638367295265198,
-0.3601948916912079,
0.7980328798294067,
0.25594910979270935,
-0.625885009765625,
0.0328754186630249,
-0.8823058009147644,
-0.17301803827285767,
0.2250293493270874,
-0.2037764936685562... |
You are given an elementary science question along with a few answer options. List all the words from the question that are essential and sufficient for choosing the correct answer option. Keep in mind that essential words are necessary to understand the meaning of the given question. However, non-essential words provide little information needed to select the correct answer. You can think about it like this: If the question was in another language, knowing the meaning of which words were necessary and enough for you to understand the question and answer it?. If your answer consists of multiple spans of words from the question, separate those using a comma (", "). Do not generate any word that is not present in the question. Make sure that your response is contained in the given question and the words are in the same order as the question.
Grammatical correctness is not important.
Ex Input:
Question: Mark wants to find out how tall his plant grows each day. Which of the following should Mark do in order to answer his question? (A) Use a balance to measure the mass of the plant every day. (B) Use a light meter to measure how much light the plant receives. (C) Add the same amount of water to the plant every day. (D) Use a ruler to measure the plant every day.?
Ex Output:
find, tall, plant, grows, day.
Ex Input:
Question: The formation of coal deposits occurred over millions of years. Which feature was most responsible for these deposits? (A) barren deserts (B) active volcanoes (C) mountains covered in trees (D) swamps with dense vegetation?
Ex Output:
formation, coal, deposits, millions, years., responsible
Ex Input:
Question: Newly hatched turtles are easy prey for other animals. What is an important ability turtles have for better survival of their offspring? (A) to fight off predators (B) to produce a toxin that makes them taste bad (C) to lay hundreds of eggs so a few will survive (D) to dig a hole and hide from predators?
Ex Output:
| turtles, prey, important, ability, turtles, better, survival, offspring?
| 1 | NIv2 | task044_essential_terms_identifying_essential_words | fs_opt | [
0.660825252532959,
0.40323472023010254,
-0.5447433590888977,
-0.044664159417152405,
-0.2908635139465332,
-1.581559181213379,
0.5245375037193298,
0.5377671718597412,
-0.8458510637283325,
0.33952200412750244,
-0.519393801689148,
-0.08646871149539948,
-1.1352345943450928,
0.004510823637247086... |
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
--------
Question: If nothing is impossible, can we move faster than light?
Answer: Is there anything that moves faster than light?
Question: What is the best thing anyone has ever said to you?
Answer: What is the most important thing someone has ever said to you?
Question: Is chemistry related to physics? If so, how?
Answer: | How are physics and chemistry related to each other?
| 7 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
-0.14450374245643616,
1.7677228450775146,
0.7521690726280212,
-0.5737111568450928,
-0.4890686273574829,
-0.2749498784542084,
0.2923039197921753,
0.21308666467666626,
0.24800065159797668,
-0.1463356912136078,
-0.974871039390564,
-0.1957865059375763,
-0.4906683564186096,
0.1368020623922348,
... |
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".
Input: sentence1:organization_founder is restoring to location sentence1:organization_founder is sending to location
Output: | yes | 3 | NIv2 | task970_sherliic_causal_relationship | zs_opt | [
-0.31476011872291565,
0.5006296634674072,
0.511605441570282,
-0.15930788218975067,
-0.23452383279800415,
-0.5136216878890991,
0.10913698375225067,
0.07718195021152496,
0.2430773675441742,
-0.22051534056663513,
-0.5403528213500977,
-0.406776487827301,
-0.5367459058761597,
-0.201994657516479... |
Definition: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY or others will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. For example, X may get hugged, and Y may blush in response. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX acts weird<sep>Tail: correct behavior
Output: | No | 2 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.2969346046447754,
0.39575567841529846,
0.3667447566986084,
-0.20001265406608582,
-0.48327720165252686,
-0.7623484134674072,
1.179413914680481,
0.15244996547698975,
-0.444463849067688,
-0.4969330430030823,
-0.46080297231674194,
-0.24376487731933594,
-0.5921617746353149,
0.1401699781417846... |
Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
Input: 8, ['w', '4327', 'p', '4583', 'R', 'c', '2339', '8847', 'l', 'U', '3055', 'M', '2931', '7671', '3509', 'u', '9099', 's', 'L', 'D', '6717', 'q', 'C', 'p', '4915', '1969', '6319', '6689', '5563', '1417']
Output: | w, 4327, p, 4583, R, c, 2339, 8847, l, U, 3055, M, 2931, 7671, 3509, u, 9099, s, L, D, 6717, q | 3 | NIv2 | task078_all_elements_except_last_i | zs_opt | [
0.11051174998283386,
0.4379631280899048,
-0.6153515577316284,
-0.6265584230422974,
-0.4701211452484131,
-0.055353935807943344,
0.4538401961326599,
0.026541100814938545,
-0.2689494490623474,
-0.08956663310527802,
-0.827489972114563,
0.18464624881744385,
0.5969363451004028,
-0.49248176813125... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Example Input: Sentence: 'a player hits the ball during a baseball game'. Remove all words of length '8' in the given sentence.
Example Output: a player hits the ball during a game
Example Input: Sentence: 'a double decker bus driving on a snowy day'. Remove all words of length '2' in the given sentence.
Example Output: a double decker bus driving a snowy day
Example Input: Sentence: 'a woman hitting a tennis ball with a racquet'. Remove all words of length '7' in the given sentence.
Example Output: | a woman a tennis ball with a
| 3 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
0.05192194879055023,
-0.08636651188135147,
-0.5624881982803345,
-0.4921569526195526,
0.09896408021450043,
-0.48694130778312683,
-0.050594769418239594,
0.5961223244667053,
0.00007505787652917206,
-0.5150153636932373,
-1.4190632104873657,
-0.1505846530199051,
-0.36879032850265503,
-0.3739083... |
Definition: 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'.
Input: Context: Before Robin felt his oats, he needed to make some cookies and take care of his children.
Question: What does Robin need to do before feeling her oats?
Options: (A) needed to give her children cookies (B) feed his children (C) needed to make some cookies
Output: | B | 2 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
0.1269126832485199,
0.38627368211746216,
-0.21966692805290222,
-0.06347496807575226,
-0.6226410865783691,
0.19287319481372833,
0.654855489730835,
0.4070516526699066,
0.041897304356098175,
-0.24920830130577087,
-0.5335724353790283,
0.1366693675518036,
0.3049222230911255,
-0.2308437526226043... |
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
To pierwsza bitwa, którą wygrał Waszyngton, punkt zwrotny wojny o niepodległość.
| إنها كانت المعركة الأولى التي كسبها جورج واشنطن ، في الواقع ، وكانت الى حد كبير نقطة تحول في حرب الاستقلال. | 5 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.08305896818637848,
1.1892635822296143,
-0.051385294646024704,
-0.7008609771728516,
0.14915373921394348,
-0.5676896572113037,
1.4664891958236694,
0.08399252593517303,
1.2620973587036133,
-0.018069252371788025,
-0.077948659658432,
0.06312519311904907,
-0.6989150643348694,
0.04693148285150... |
Given the task definition and input, reply with output. In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the ending, and use names instead of pronouns (e.g. he / she) wherever possible.
Beginning: Pat always wanted to see the world. Middle: Pat decided to travel and went to many places.
| Her parents were so proud, they flew over for a tour! | 5 | NIv2 | task071_abductivenli_answer_generation | zs_opt | [
-0.30755433440208435,
0.9606755375862122,
0.06746222078800201,
-0.12014372646808624,
-0.31605738401412964,
-0.04990854114294052,
0.2755435109138489,
0.18879787623882294,
-0.11358209699392319,
-0.2166946679353714,
-0.7836322784423828,
0.5279887914657593,
-0.0830065906047821,
0.0368142127990... |
Detailed Instructions: You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
See one example below:
Problem: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most.
Polarity: Positive
Solution: True
Explanation: It's a positive review because the owner of the dog is satisfied with the product and mentioned that their dog appreciates the product. Also, the polarity is positive. So, the correct answer is True.
Problem: I emailed customer service and asked if the treats were filled with sweet potato, and they assured me that they'd checked with the manufacturer and confirmed that they did in fact have a sweet potato center. However, the ones I received did not and I feel like I was lied to by customer service because they didn't want to take the time to actually check into it.
Polarity: Negative
Solution: | True | 4 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt | [
0.01814853772521019,
-0.7987966537475586,
0.04112236946821213,
0.48278358578681946,
0.1395856887102127,
-0.4231765866279602,
0.9270492792129517,
0.8086104393005371,
-0.37002697587013245,
-0.24980737268924713,
0.05298807844519615,
0.06038808077573776,
-0.8130708932876587,
-0.268524348735809... |
Detailed Instructions: In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Problem:FBDvGaArKSnqRSVFhtewdFzvaIGSnNufuGmTSEe, WcMrHqRSVFhtewdFzvaIdZYxAaIfAhLkKL
Solution: | a, b, d, e, f, g, h, i, k, m, n, q, r, s, t, u, v, w, z | 8 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | zs_opt | [
0.5348513126373291,
1.0564067363739014,
-0.14747531712055206,
-0.7890186309814453,
0.30629444122314453,
0.07067174464464188,
1.7556921243667603,
-0.19283998012542725,
-0.19604770839214325,
0.12219539284706116,
-0.8537448644638062,
0.04940839856863022,
-0.37335681915283203,
-0.2394412457942... |
Teacher:In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their, etc.) or other mentions to people, places, or things to which they may refer. Do not ask questions that can be answered correctly without understanding the paragraph or having multiple answers. Avoid questions that do not link phrases referring to the same entity. For each of your questions, the answer should be one or more phrases in the paragraph, and it should be unambiguous.
Teacher: Now, understand the problem? Solve this instance: Passage: Scrat is once again trying to bury his acorn but accidentally activates an abandoned alien ship that takes him into deep space, where he unwittingly sends several asteroids en route to a collision with Earth. Meanwhile, Manny and Ellie are preparing upcoming marriage between Peaches and her fiancé, Julian. Diego and his wife Shira want to start a family, but their fierce appearance tends to scare kids. Sid is dumped by his girlfriend, Francine, just as he is about to propose to her, and he laments his solitude. During Manny and Ellie's wedding anniversary party, some of the asteroids strike the place and The Herd barely escape. Meanwhile, at the underground lost world, Buck returns a dinosaur egg back to its rightful owner after it was stolen by a trio of flying dromaeosaurs named Gavin, Gertie, and Roger. Buck discovers an ancient stone pillar and takes it to the surface, where he meets Manny and the others.
Buck explains to The Herd that according to the pillar, the asteroids had caused several extinctions in the past and with a massive one still incoming, he believes that the only place they could find a clue to stop it is on the site of the impact of the previous ones, as according to its engravings, they always fall at the same place. However, the three dromaeosaurs overhear their conversation, and Gavin and Gertie decide to stop them, believing that they could easily avoid the impact, thus not only getting their revenge on Buck, but also killing all mammals and securing domination over Earth for their species. Roger is reluctant, but Gavin and Gertie strong-arm him into cooperating.
Student: | Who is the person that meets Buck on the surface married to? | 6 | NIv2 | task001_quoref_question_generation | zs_opt | [
-0.13701000809669495,
0.520967960357666,
-0.15456248819828033,
-0.20119816064834595,
0.2790689766407013,
0.17843027412891388,
1.21843683719635,
0.4156472682952881,
-0.36760425567626953,
-0.07978279143571854,
-0.20126697421073914,
0.129104882478714,
-0.45888185501098633,
0.16978079080581665... |
Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: La llevaron de urgencia al hospital, pero ya era muy tarde. Y murió.
Student: | وأتساءل كم منكم عند النظر إلى هذا ، | 6 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
0.072740338742733,
0.7257769107818604,
0.09101808071136475,
-1.2484456300735474,
0.07891998440027237,
-0.12950600683689117,
0.09445280581712723,
0.7171381115913391,
0.4774046242237091,
0.13894563913345337,
-0.0172214787453413,
0.07826747000217438,
-0.3992241322994232,
0.048825979232788086,... |
In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate female and male, respectively.
Q: F: Hello Martin, long time no see. I heard you went to France to study, how was that? ,M: I was only there for a year, then I took a year off to travel around Europe. ,F: Where did you go? ,M: I went to Switzerland first and then Germany in Austria. I was planning to end my trip in Italy, but it didn't work out. ,F: Oh well, is it good to be back? ,M: Of course, but I'm returning to France to finish my degree. It's a four-year program.
(A) F: Really? You are returning to Italy to finish your degree and you need two years for your degree? (B) F: I am afraid I did not quite catch what you were saying. Please repeat it. (C) F: So, you mean it's a four-year program and now you need three years for this degree? (D) F: Really? You are not returning to France to finish you degree? Oh, you need four years for this degree!
A: C
****
Q: F: Have you chosen the music for the party yet? ,M: I was going to just let people bring their own. ,F: Oh, I don't think you should do that. One person needs to be in charge. Otherwise, people will start disagreeing. Sony's really good at music. You could ask her. ,M: OK. Have you got her number? ,F: Yeah, it's on my mobile. I'll text it to you.
(A) M: You have helped me prepare for the party. The party is a great success. (B) M: Thank you for asking Sonia for the information of the party. (C) M: I know Sony's phone number, but thank you for offering to tell me. (D) M: I didn’t hear you. Please could you tell me again?
A: D
****
Q: F: Welcome to tonight's Legendary Lives. I'm Shirley Morgan. Tonight, we are quite honored to invite David Hopkins, a well known chef with 30 years of cooking experience. Last year, his new book, Secrets in the Kitchen got on a New York Times best seller list for 6 months. Welcome to our program, David. ,M: Hello, Shirley, it's a pleasure to be here. ,F: David, I can't wait to see you uncovered a formulas for dishes. Exploring the How's and why's of cooking. Before that, may I ask you a question? What's the difference between a chef and a cook? ,M: I think cooks generally work at entry level jobs. They work at different places in the kitchen and follow recipes. In contrast, chefs have special training and understand better which food goes well together, so they can invent new recipes. ,F: I see, a chef is the cook, who has completed a professional course while a cook it's basically any person who cooks food. By the way, how do you become a chef? ,M: I am trained. 95% is about professional training and the other 5% is about talent.
(A) F: Then I'm right in thinking that a chef works basically at entry level jobs, as you said. (B) F: I am afraid I did not quite catch what you were saying. Please repeat it. (C) F: So you are a chef because chefs can create the recipe, though you were never trained. (D) F: A chef like you have the ability to create the recipe while a cook only do entry level jobs.
A: | D
****
| 4 | NIv2 | task611_mutual_multi_turn_dialogue | fs_opt | [
0.4641597867012024,
-0.009496727026998997,
0.05777933448553085,
-0.5673984885215759,
0.702116072177887,
0.1615758240222931,
1.1982464790344238,
0.6541653275489807,
-0.39086073637008667,
0.3551509380340576,
0.19316190481185913,
0.11682813614606857,
-0.5658577680587769,
0.46173128485679626,
... |
Given a prompt and two completions from a language model, select the completion that has the most similar style to the prompt. Style is defined as the tone, word choice, grammar, and sentence structure throughout the prompt-completion pair. If a prompt is colloquial, then the completion should also be colloquial, as opposed to a completion that is encyclopedic or overly formal. Generate either Completion A or Completion B.
Input: Consider Input: Prompt: I missed so much good tv today...but I
Completion A: 'll be back on it. Thanks to the many helpful suggestions here, I think I'll have to move on...and maybe be a little bit slower
Completion B: have to go back to see the new season of the Agents of S.H.I.E.L.D..and the new series
Output: Completion B
Input: Consider Input: Prompt: I am ready to punch the motherfuckers in their throat. Oh my science! That
Completion A: was fun, though, was that a hit? The sound of two hands clapping together is one I've never heard before. But not today.
Completion B: ke volleyball. Through its gisputtes curve, we're going to leave... well, no punch... No flying metal. We sa
Output: Completion B
Input: Consider Input: Prompt: Anybody who did is a bitch nigga for
Completion A: rgetargetargetOntarget, Portion known in multiple skeletal reviews before after [I've seen superhighlights at many of those
Completion B: doing that to me," he continued. "When the cops came I went into my house, and they shot me." "They shot m
| Output: Completion B
| 2 | NIv2 | task140_detoxifying-lms_classification_style | fs_opt | [
0.5678684711456299,
0.15899546444416046,
-0.4173019826412201,
0.08133241534233093,
0.10443476587533951,
-0.3486776351928711,
0.46675512194633484,
0.34620171785354614,
-0.284294456243515,
-0.10211382806301117,
-0.6783844828605652,
0.11315259337425232,
-0.34604671597480774,
-0.18408538401126... |
Definition: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the third fact. An example of a chain is: "pesticides cause pollution" (given fact) + "pollution can harm animals" (related fact) → "pesticides can harm animals" (connected chain). Avoid creating simple paraphrases of the given fact. While your generated fact should be related to the input fact, they must describe slightly different scientific phenomena. It's okay if your related fact includes some irrelevant information, provided that it has some overlap with the given fact and it contains some words corresponding to the provided topic.
Input: Fact: conserving resources has a positive impact on the environment.
Topic: conserving resources recy.
Output: | Recycling conserves natural resources. | 2 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
0.04129806533455849,
0.7176287174224854,
-0.5576479434967041,
-0.16920800507068634,
-0.5014010667800903,
-0.9465636610984802,
-0.274086058139801,
0.5419566631317139,
-0.051864080131053925,
-0.16216784715652466,
-1.4174602031707764,
0.9201542139053345,
-0.6853502988815308,
-0.00958190951496... |
Definition: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with 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: A group of people look at sand sculptures. Sentence 2: A group of people look at sand sculptures at beach
Output: | peoples look at sand sculptures | 2 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.3505627512931824,
0.6930807828903198,
0.018076542764902115,
-0.6696609258651733,
-0.05927232652902603,
-0.26644015312194824,
0.3822116553783417,
0.27425089478492737,
0.3459172248840332,
-0.7964071035385132,
-0.6596903800964355,
-0.5907818078994751,
-0.2525213360786438,
0.237819775938987... |
Detailed Instructions: Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Completion A, Completion B, Completion C, or Completion D.
Problem:Prompt: A girl sent her friend a text. She
Completion A: didn't actually have a friend.
Completion B: wished her a happy arbor day.
Completion C: sent an emoji.
Completion D: told her about the gun violence.
Solution: | Completion C | 8 | NIv2 | task156_codah_classification_adversarial | zs_opt | [
-0.30793705582618713,
0.9143983125686646,
0.28415340185165405,
-0.7885614037513733,
-0.6821864247322083,
-0.9632543325424194,
0.9911676645278931,
-0.1655866652727127,
0.22562876343727112,
-0.3227231502532959,
-0.5010983943939209,
-0.1591131091117859,
0.39801663160324097,
0.3052640557289123... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX adopts PersonY attitude<sep>Tail: to keep an open mind
A: | No | 9 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.12978480756282806,
-0.008570407517254353,
0.4018329381942749,
-0.33603185415267944,
-0.43426674604415894,
-1.4148242473602295,
1.12278413772583,
0.2631113827228546,
-0.20966020226478577,
-0.6328268051147461,
-0.22210347652435303,
-0.08560672402381897,
-0.9358319044113159,
0.4725712537765... |
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
English: What is more, the relevant cost dynamic is completely under control.
Spanish:Por otra parte, la dinámica de los costes al respecto está totalmente bajo control. | Yes | 0 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
-0.4344189167022705,
0.4252508878707886,
0.4858189821243286,
0.0025102058425545692,
-0.15551632642745972,
-0.6172252297401428,
0.18701118230819702,
1.5424045324325562,
0.13185888528823853,
0.03639828413724899,
-0.2791093587875366,
-0.07172650843858719,
-0.6089590191841125,
0.64751547574996... |
A text is given in Gujarati. Translate it from the Gujarati language to the Malayalam language. The translation must not omit or add information to the original sentence.
Let me give you an example: ઊર્જાનો પુરવઠો, ઊર્જાનાં સ્રોતો અને ઊર્જાનાં વપરાશની પદ્ધતિઓ બદલાઈ રહી છે
The answer to this example can be: Energy ർജ്ജ വിതരണ, energy ർജ്ജ സ്രോതസ്സുകൾ, energy ർജ്ജ ഉപഭോഗ രീതികൾ മാറുകയാണ്
Here is why: Correct translation for given sentence. Input sentence means 'Energy supply, energy sources and energy consumption methods are changing' which is the same as the output sentence.
OK. solve this:
પ્રધાનમંત્રી શ્રી નરેન્દ્ર મોદીની અધ્યક્ષતામાં કેન્દ્રિય મંત્રીમંડળે સ્વાસ્થ્ય અને દવાનાં ક્ષેત્રમાં ભારત અને ઇટાલી વચ્ચે સહયોગ સંબંધિત સમજૂતીકરાર (એમઓયુ)ને અગાઉની અસર સાથે મંજૂરી આપી છે.
Answer: | ആരോഗ്യ-മെഡിക്കല് ശാസ്ത്ര മേഖലകളിലെ സഹകരണത്തിന് ഇന്ത്യയും ഇറ്റലിയും തമ്മിലേര്പ്പെട്ട ധാരണാപത്രത്തിന് പ്രധാനമന്ത്രി ശ്രീ നരേന്ദ്രമോദിയുടെ അദ്ധ്യക്ഷതയില് ചേര്ന്ന കേന്ദ്ര മന്ത്രിസഭായോഗം മുന്കാലപ്രാബല്യത്തോടെ അംഗീകാരം നല്കി. | 8 | NIv2 | task1041_pib_translation_gujarati_malayalam | fs_opt | [
0.04514162614941597,
0.6247008442878723,
-0.33836960792541504,
-0.8575706481933594,
-0.07524829357862473,
-1.094989538192749,
-0.06042984500527382,
0.39661702513694763,
0.12978464365005493,
-0.09163198620080948,
-0.5131785869598389,
-0.29497501254081726,
-0.13799545168876648,
-0.4072364866... |
TASK DEFINITION: Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
PROBLEM: Sulfur can combine with oxygen to produce what?
SOLUTION: sulfur bioxide
PROBLEM: Once a plant cell becomes specialized, what can they no longer do?
SOLUTION: photosynthesis
PROBLEM: Name the process that produces many copies of a certain gene.
SOLUTION: | gene diversion
| 8 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
0.13224253058433533,
0.5612982511520386,
-0.3876149356365204,
-0.4083453416824341,
-0.6341876983642578,
-0.32887154817581177,
0.2697221636772156,
0.4919643998146057,
0.22811207175254822,
-0.02208527736365795,
-0.7011659741401672,
-0.054069653153419495,
-0.5706738233566284,
0.29766625165939... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Example: 静音开关用于激活灯光 。
Output: 使用灯开关命令取出针头 。
This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about the lights and the changes in the sentence follows the commonsense knowledge.
New input case for you: 拥有一个拉特区域的效果是 你形成了许多痛苦。
Output: | 拥有一个fib y的效果是 你挡住很多疼痛。 | 1 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
-0.19018931686878204,
0.29120922088623047,
-0.38417357206344604,
0.11961259692907333,
0.5159411430358887,
-0.08146798610687256,
-0.0847511738538742,
0.9783207178115845,
0.18627692759037018,
-0.05764146149158478,
-0.6539415717124939,
0.11404638737440109,
0.023165065795183182,
-0.22735461592... |
Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Example: Вие можете да планирате една шапка портфейл, за да носят всичките си кредитни карти.
Example solution: Можете да използвате кредитна карта портфейл, за да влезете във всичките си кредитни карти.
Example explanation: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about credit card wallets and the changes in the sentence follows the commonsense knowledge.
Problem: Вие сте безпомощни да намерите джобен бележник в магазин за офис консумативи.
| Solution: Вие сте най-вероятно да намерите малко по-голям бар в един офис магазин за хранителни продукти. | 5 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
0.23457714915275574,
0.3206273913383484,
-0.3826986849308014,
-0.5505620837211609,
0.007667288184165955,
-0.6330179572105408,
1.0839353799819946,
0.950232982635498,
0.9903054237365723,
-0.36045515537261963,
-0.47502467036247253,
0.48015064001083374,
-0.3651948571205139,
0.02458366751670837... |
This task is about translating a given Yoruba language sentence to English.
--- Ẹ máa jẹ́ kí àwọn ọlọ̀tẹ̀ pín Nàíjíríà yẹ́lẹ-yẹ̀lẹ – Ààrẹ Buhari. | --- Don’t let terrorists divide the country – President Buhari | 0 | NIv2 | task1686_menyo20k_translation | zs_opt | [
0.06277097761631012,
0.3692747950553894,
-0.3460216522216797,
0.14056254923343658,
-0.5547060370445251,
-0.207475483417511,
0.47448569536209106,
0.1524362862110138,
0.3182127773761749,
0.04107924550771713,
0.145504429936409,
-0.06797675788402557,
-0.538423478603363,
0.9362883567810059,
0... |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Q: નાના ટ્રેન જાડા, કાળા ધુમાડાને કારણે વિશ્વભરમાં આબોહવા પરિવર્તન આફ્રીલાઓ પેદા કરે છે જેથી પોતાને સ્વ-પ્રામાણિક અરુચિમાં પીસ થાય.
A: Gujarati
****
Q: કોઈ વ્યક્તિ લેપટોપ પર ઝાડવાના ટાઈપીંગની બાજુમાં બહાર બેન્ચ પર બેસતી હોય છે.
A: Gujarati
****
Q: A red double decker bus headed to Victoria is parked on the side of the street.
A: | English
****
| 4 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | fs_opt | [
-0.6322638988494873,
0.4380534291267395,
0.6558748483657837,
-0.3276093900203705,
0.04429544135928154,
-0.533866286277771,
0.3441694378852844,
0.18738719820976257,
0.38987264037132263,
-0.24742810428142548,
-0.7365598678588867,
0.26779791712760925,
0.036619819700717926,
-0.2761681079864502... |
TASK DEFINITION: In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
PROBLEM: English: The sheep researchers postulate that low levels of aromatase hormones in the brain of a developing male sheep fetus may have kept the brain from fully masculinizing, leading to sexually male-oriented rams.
Japanese: クリントンとオバマは、ペンシルバニア民主党予備選で今日、対決する。
SOLUTION: No
PROBLEM: English: If convicted, he faces either the death penalty or life imprisonment without parole.
Japanese: 有罪判決が下されれば、彼は死刑か仮釈放無しの終身刑を科される。
SOLUTION: Yes
PROBLEM: English: Harabe, only the tenth person ever to represent his country at the Games, is making his Paralympic Games debut.
Japanese: 地方自治体は灰の層が被災地のコーヒーの木を燃やし、この地域のコーヒー生産を相当減少させると予想している。
SOLUTION: | No
| 8 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
-0.06180127337574959,
-0.04183138906955719,
0.648845374584198,
-0.15014252066612244,
0.21011802554130554,
-1.3664450645446777,
1.0502066612243652,
0.6111350059509277,
-0.024023517966270447,
-0.4778584837913513,
-0.03750317916274071,
0.41363954544067383,
-0.7517600655555725,
0.2075298726558... |
Part 1. Definition
You are given a question and some answer options (associated with "A", "B", "C", "D"). You should choose the correct answer based on commonsense knowledge. Avoid answering questions based on associations, the set of answers are chosen deliberately to capture common sense beyond associations. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D', 'E' and only give one answer for each question.
Part 2. Example
Where would you find magazines along side many other printed works?
(A)doctor (B)bookstore (C)market (D)train station (E)mortuary
Answer: B
Explanation: libraries contains magazines and many other printed works.
Part 3. Exercise
Athletes soak in hot tubs to relieve what after playing baseball?
(A)fame (B)errors (C)pain (D)strikes (E)sore muscles
Answer: | E | 7 | NIv2 | task073_commonsenseqa_answer_generation | fs_opt | [
0.5496861338615417,
0.13834279775619507,
-0.7906128168106079,
0.19582520425319672,
0.04186224192380905,
-0.4687223434448242,
0.9890267848968506,
-0.19708354771137238,
0.27336639165878296,
-0.6874167323112488,
-0.36437225341796875,
0.29905831813812256,
-0.23625648021697998,
-0.2696329951286... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
ເຮືອສຳລານໂດຍສານໄດ້ຫຼົ້ມ ແລະ ຈົມລົງຈາກເກາະ Sibuyan ໃນວັນທີ 21 ເດືອນມິຖຸນາ ໃນໄລຍະພາຍຸໄຕ້ຝູ່ນ Fengshen (ຮູ້ໃນຊື່ ພາຍຸໄຕ້ຝຸ່ນ Frank) ກັບຈຳນວນຜູ້ເສຍຊີວິດຮ້ອຍກວ່າຄົນ.
Output: | 旅客フェリーは数百人の死傷者を出した台風フンシェン（地元では台風フランクとして知られている）が来ていた6月21日に、シブヤン島で転覆して沈没した。 | 1 | NIv2 | task1125_alt_lo_ja_translation | zs_opt | [
-0.3143816590309143,
-0.12911191582679749,
-0.42386260628700256,
-0.6593215465545654,
0.2683653235435486,
-1.0381313562393188,
0.22264978289604187,
-0.1545647382736206,
-0.3669775128364563,
0.3320894241333008,
-0.0008390245493501425,
0.2851598858833313,
-0.5479681491851807,
0.6908102631568... |
Detailed Instructions: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Q: kale was drawing on scrap paper . he could fit 5 drawings on each page . if he has 6 pages how many drawings can he make ?
A: | 30 | 9 | NIv2 | task862_asdiv_multidiv_question_answering | zs_opt | [
0.299033522605896,
1.0883924961090088,
0.48823076486587524,
-0.7474766969680786,
-0.022355280816555023,
0.510496973991394,
0.7423783540725708,
0.6914043426513672,
-0.6759330630302429,
-0.07865594327449799,
-0.2370101809501648,
-0.30903562903404236,
-0.2632087469100952,
0.3122294843196869,
... |
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
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 the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
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 the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Input: Consider Input: Command: and { only { filter_greater { all_rows ; gross ; 300000000 } } ; eq { hop { filter_greater { all_rows ; gross ; 300000000 } ; title } ; fatal attraction } }, interpretation: select the rows whose gross record is greater than 300000000 . there is only one such row in the table . the title record of this unqiue row is fatal attraction .
Output: yes
Input: Consider Input: Command: most_eq { all_rows ; league / division ; first division }, interpretation: for the league / division records of all rows , most of them fuzzily match to first division .
Output: yes
Input: Consider Input: Command: and { eq { diff { hop { filter_eq { all_rows ; segment a ; metal detectors } ; episode } ; hop { filter_eq { all_rows ; segment a ; riding mowers } ; episode } } ; -1 } ; and { eq { hop { filter_eq { all_rows ; segment a ; metal detectors } ; episode } ; 151 } ; eq { hop { filter_eq { all_rows ; segment a ; riding mowers } ; episode } ; 152 } } }, interpretation: select the rows whose segment a record fuzzily matches to metal detectors . take the episode record of this row . select the rows whose segment a record fuzzily matches to riding mowers . take the episode record of this row . the second record is 1 larger than the first record . the episode record of the first row is 151 . the episode record of the second row is 152 .
| Output: yes
| 2 | NIv2 | task211_logic2text_classification | fs_opt | [
0.12801718711853027,
-0.2531595230102539,
-0.31214258074760437,
0.3962434232234955,
0.5804674625396729,
-0.4286091923713684,
0.17165076732635498,
0.49683278799057007,
-0.1235404685139656,
0.10422615706920624,
-0.38703423738479614,
0.14459283649921417,
0.3511684238910675,
0.3579590320587158... |
Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
Example: Supplemental Nutrition Assistance Program (SNAP) Eligibility. To see if you might be eligible for Supplemental Nutrition Assistance Program (SNAP) benefits, visit our pre-screening tool. For households in the 48 Contiguous States and the District of Columbia October 1, 2016 through September 30, 2017. To get SNAP benefits, households must meet certain tests, including resource and income tests: 1 Resources. 2 Income. 3 Deductions. 4 Employment Requirements. 5 Special Rules for Elderly or Disabled. 6 Immigrant Eligibility. In fact, we’re not spending enough on food stamps. The need for food assistance is greater than food stamps can fill, and the benefit amount is too low to allow a family to purchase an adequate, healthy diet. The average monthly food stamp benefit per person is only $133.85, or less than $1.50 per person, per meal. Between 2009-2011 the purchasing power of food stamps declined by about 7%, or $47/month for a family of four, due to inflation in the cost of food. You’ve likely heard stories (and outrage) about people using food stamps to purchase “steak and lobster” as well as cigarettes and alcohol, showing up at the grocery store in a nice car, nice clothes, a nice purse or an iPhone. But the federal government sets the food stamps benefit amount at, on average, roughly $4 a day per person. Yes, someone could save up their monthly allotment to buy some high-priced food items for a special occasion. Supplemental Nutrition Assistance Program. Effective October 2016. Maximum Monthly SNAP Amounts. The chart below shows the maximum dollar amount of SNAP benefits your household can receive each month. This dollar amount is based on the number of people in your household, your income and your expenses. You could receive any amount up to or including these amounts. National Standards for reasonable amounts have been established for five necessary expenses: food, housekeeping supplies, apparel and services, personal care products and services, and miscellaneous. See the SNAP page on Applicants and Recipients for detailed information about eligibility requirements and benefits. The SNAP home page provides access to information on all aspects of the program. fns On average, 45 million people received SNAP benefits each month in fiscal year 2011, which represents a 70 percent increase over the roughly 26 million people (or one of every 11) who received benefits in 2007. The truth is, a $125 per person per month grocery budget may seem like a farce to a household currently spending $300 per person per month, but it’s actually quite achievable. *For households with more than eight people, add $5,408 per additional person. Always check with the appropriate managing agency to ensure the most accurate guidelines. To see if you might be eligible for SNAP benefits, use SNAP's pre-screening tool. Related Links. ¡ 1 Exija Sus Derechos! - 4300 S. ¡ 2 EXIJA SUS DERECHOS! Usted Tiene El Derecho - DHS 8219 S. ¡ 3 La tarjeta Illinois Link se acepta en mercados de agricultores selectos! DHS 9201 S. 4 B Attitude - Folic Acid - DHS 4758. 5 AABD Cash Aid to the Aged, Blind or Disabled - DHS 587. 6 Active Play for Families - DHS 4586. Query: average amount food stamps per one person in al for a month
Example solution: The average monthly food stamp benefit per person is only $133.85, or less than $1.50 per person.
Example explanation: The passage details the eligibility and resources provided by SNAP. The passage includes information on individual per meal food stamp benefit, that can be used to answer the query.
Problem: On the contrary, sometimes a woman may believe she is having implantation bleeding, when in fact it is simply a period`s first day or just early menses. The best way to find out the real cause of spotting is to know how long implantation bleeding may last and to compare it with the period`s duration. What is Implantation Bleeding? Implantation bleeding is a common process, during which the embryo attaches to the lining inside the woman’s uterus. Often, this bleeding happens between the 6th and 12th days after the embryo has formed, or somewhere between the 2nd and 7th days before period. Learn how long a normal period should last and when to call your doctor. Across the board, our answer is probably Too Long.. But here's a quick guide to how long a typical period lasts and what factors can change the length of your period. You period can last for over 7 days if you are using an hormonal birth control pill. And it can also be shorter and lighter. HOW LONG DOES A PERIOD LAST FOR A 12 YEAR OLD. As a 12 year old or a teenager, a period length between 2 to 7 days is normal and nothing to worry about. Inform your doctor of any sudden menstrual cycle changes. HOW LONG SHOULD A PERIOD LAST BEFORE GOING TO THE DOCTOR. If your period is over 7 or 8 days, you may want to see a doctor to get checked. The Average Length of a Period. A woman's menstrual cycle lasts all month, but her period is the specific time period that happens when the uterus starts to shed its old lining. The start of the period is marked by a sudden drop in female sex hormones, and then a woman starts to bleed. How Long Does A Period normally last. Normally a period will last for 3-5 days. But when a girl first starts her period, her menstruation will be irregular. It can be as short as 2 days or as long as 7 days which is fine as well. After a year your period will become regular. Let us dive in to understand the period cycle a bit more. Shall we? how long should a period last before going to the doctor If your period is over 7 or 8 days, you may want to see a doctor to get checked. Also if your period constantly last for only 1-2 days, it is recommended you speak to your doctor. The woman who keeps close watch on her menstrual cycle is more likely to distinguish implantation bleeding from pre-period symptoms, especially if she has a spotty day several days before her normal period begins. The length of time during which you may “see” it will depend on how much blood was released in the process of egg attachment and how long it takes for your body to get rid of it. In most cases women pass all of it within a couple of hours, though, in some extreme cases bleeding may last even two days. how long does a period last for a 12 year old As a 12 year old or a teenager, a period length between 2 to 7 days is normal and nothing to worry about. Inform your doctor of any sudden menstrual cycle changes. Once you are certain that you are experiencing implantation bleeding instead of your period, if you notice that it is lasting too long or you have pain and an increase in bloody discharge, you need to contact your doctor. You may be having a miscarriage or an ectopic pregnancy. Query: how long is a period last
| Solution: Normally a period will last for 3 to 5 days. | 5 | NIv2 | task870_msmarco_answer_generation | fs_opt | [
0.47677144408226013,
0.4207528233528137,
-0.213717520236969,
-0.12167862802743912,
0.35343462228775024,
-0.6732192039489746,
0.9221841096878052,
1.1886262893676758,
-0.28352609276771545,
0.0824875459074974,
0.2262791395187378,
0.1632234752178192,
-0.9336714148521423,
0.4227348864078522,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Your sentence should be grammatically and syntactically correct. Also stick to the context of the given story. For example, if the story talks about "doctors", you can talk about "health" or "diagnosis", but don't mention "aliens". Avoid introducing any extra/irrelevant information, and use names instead of pronouns (e.g. he / she) wherever possible. Avoid simply negating the original middle, for example: "She likes cakes." is changed to "She doesn't like cakes."
Beginning: The votes were in for class presidential elections. Middle: Cara lost because she didn't have the most votes. Ending: Cara sat alone and cried.
Output: | Cara had the most votes so she won. | 1 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.07330755889415741,
0.11215691268444061,
0.09703755378723145,
0.6200583577156067,
0.1420745849609375,
-0.3084770441055298,
-0.10918323695659637,
0.7080793976783752,
-0.472301185131073,
-0.048735398799180984,
-0.04261597990989685,
0.22330249845981598,
0.11027119308710098,
-0.53969478607177... |
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: आणि मी जेव्हा येथे काम करत होतो तेव्हा गुजरातेत आमचे सरकार होते, त्या वेळी मला असे कैक निर्णय घेण्याची संधी मिळाली होती.
A: | और गुजरात में हमारी सरकार थी, मैं जब यहां काम करता था, उस समय मुझे ऐसे कई निर्णय करने का अवसर मिला था। | 9 | NIv2 | task1082_pib_translation_marathi_hindi | zs_opt | [
-0.13236844539642334,
0.10362100601196289,
0.24463853240013123,
-0.038603201508522034,
0.07494767010211945,
-1.66803777217865,
0.47427570819854736,
0.3426928222179413,
-0.020915377885103226,
-0.0960826575756073,
-0.36820459365844727,
-0.49532419443130493,
-0.8914188146591187,
0.42050015926... |
This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done.
--------
Question: فضلاً عن ذلك فإن الصدمة اليابانية ليست العامل السلبي الوحيد اليوم. فالتأثيرات المترتبة على الارتفاع الحاد الذي سجلته أسعار النفط ومشاكل الدين السيادي المستمرة في أوروبا من العوامل المثيرة للقلق الشديد أيضا. ورغم أن كلاً من هذه الصدمات قد لا تكون مؤهلة كنقطة تحول في حد ذاتها، فإن التركيبة والسياق يحدثان قدراً عظيماً من القلق والإرباك على أقل تقدير.
Answer: Velmi znepokojivé jsou také dopady strmě rostoucích cen ropy a pokračujících problémů se suverénním zadlužením v\xa0Evropě. Byť ani jeden z\xa0těchto šoků nemusí být příslovečnou poslední kapkou, jejich kombinace a kontext jsou, mírně řečeno, zneklidňující.
Question: على هذا الأساس يعارض المحافظون البريطانيون الدستور المقترح. نحن لا نتفق مع الكثير من محتوياته، بالطبع، لكننا أيضاً نعارض فكرة وضع دستور للاتحاد الأوروبي من الأساس. هناك فرق شاسع بين جماعة من الأمم تربط بينها معاهدة، وبين كيان منفرد له شخصيته القانونية المستقلة ويستمد سلطاته من دستور خاص به، سواء أسميناه دولة أم لا.
Answer: Samozřejmě že nesouhlasíme s mnohým z jejího obsahu, ale odmítáme i představu ústavy EU jako takovou. Je propastný rozdíl mezi smluvně vázaným sdružením národních států a jednolitým útvarem, ať jej nazýváme státem, či nikoliv, který má vlastní právní subjektivitu a odvozuje své pravomoci z vlastní ústavy.
Question: بدلاً من الوعود، فإن الاتحاد الأوروبي يحتاج إلى اتخاذ اتجاه جديد. وأقول هذا بصفتي زعيماً للحزب الذي كان في طليعة المؤيدين لارتباط بريطانيا بأوروبا. ولقد كانت أول حكومة تتقدم بطلب انضمام في مطلع الستينيات حكومة محافظين. كما كانت حكومة محافظين تلك التي حملت المملكة المتحدة إلى التجمع الاقتصادي الأوروبي في عام 1973. ولقد عملت مارغريت ثاتشر مع جاك ديلور لصياغة السوق الواحدة في عام 1986.
Answer: | V roce 1973 konzervativní vláda dovedla Velkou Británii do Evropského hospodářského společenství. Margaret Thatcherová spolupracovala roku 1986 s Jacquesem Delorsem na vytvoření jednotného trhu.
| 7 | NIv2 | task1374_newscomm_translation | fs_opt | [
0.4214457869529724,
-0.050959981977939606,
-0.38900309801101685,
0.009222334250807762,
-0.09329554438591003,
-0.3534887433052063,
1.1030614376068115,
0.984960675239563,
0.03123091161251068,
-0.2033875733613968,
0.11496654152870178,
0.3490847647190094,
-0.8898344039916992,
0.030919086188077... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Example: The severe acute respiratory syndrome (SARS) epidemic originating from China in 2002 was caused by a previously uncharacterized coronavirus that could be identified by specific RT-PCR amplification. Efforts to control future SARS outbreaks depend on the accurate and early identification of SARS-CoV infected patients. A real-time fluorogenic RT-PCR assay based on the 3 -noncoding region (3 -NCR) of SARS-CoV genome was developed as a quantitative SARS diagnostic tool. The ideal amplification efficiency of a sensitive SARS-CoV RT-PCR assay should yield an E value (PCR product concentration increase per amplification cycle) equal to 2.0. It was demonstrated that the 3 -NCR SARS-CoV based RT-PCR reactions could be formulated to reach excellent E values of 1.81, or 91% amplification efficacy. The SARS-CoV cDNA preparations derived from viral RNA extract and the cloned recombinant plasmid both exhibit the identical amplification characteristics, i.e. amplification efficacy using the same PCR formulation developed in this study. The viral genomic copy (or genomic equivalences, GE) per infectious unit (GE/pfu) of SARS-CoV used in this study was also established to be approximate 1200-1600:1. The assay's detection sensitivity could reach 0.005 pfu or 6-8 GE per assay. It was preliminarily demonstrated that the assay could efficiently detect SARS-CoV from clinical specimens of SARS probable and suspected patients identified in Taiwan. The 3 -NCR based SARS-CoV assay demonstrated 100% diagnostic specificity testing samples of patients with acute respiratory disease from a non-SARS epidemic region.
Output: Development and evaluation of an efficient 3 -noncoding region-based SARS coronavirus (SARS-CoV) RT-PCR assay for detection of SARS-CoV
It's a correct title because the paragraph described the development of 3 -noncoding region of SARS-CoV genome and assay efficiently detecting SARS-CoV from clinical specimens.
New input case for you: increasing research has demonstrated that expression of brain and muscle arnT-like 1 (BMal1) and other circadian clock genes can be regulated by drugs and toxicants. We previously demonstrated that icariin, extracted from Herba epimedii, sromotes osteogenic differentiation. However, the mechanism underlying the association between icariin and BMal1 in osteogenic differentiation of bone marrow-derived mesenchymal stem cells (BMScs) remains unclear. The present study was designed with an aim to clarify the association between icariin and BMal1 in osteogenic differentiation of BMScs. The cell counting Kit-8 assay was used to evaluate cell proliferation. The expression of bone morphogenetic protein 2 (BMP2), runX family transcription factor 2 (runX2), alkaline phosphatase (alP), osteocalcin (oc) and BMal1 in BMScs was evaluated by reverse transcription-quantitative Pcr and western blotting. alP and alizarin red S (arS) staining were also performed. icariin promoted BMSc proliferation, and upregulated expression of osteogenic genes and BMal1. in addition, expression of the osteogenic genes BMP2, runX2, alP and oc were upregulated by BMal1 overexpression. Furthermore, we confirmed that BMal1 deficiency suppressed osteogenic differentiation in BMScs. Finally, arS staining of BMal1 -/-BMScs revealed that BMal1 was an essential intermediary in matrix mineralization during osteogenic differentiation. in conclusion, these results demonstrated that icariin promoted osteogenic differentiation through BMal1-BMP2 signaling in BMScs. The present study thus described a novel target of icariin that has potential applications in the treatment of osteogenic disorders.
Output: | Icariin promotes osteogenic differentiation of BMSCs by upregulating BMAL1 expression via BMP signaling | 1 | NIv2 | task1161_coda19_title_generation | fs_opt | [
0.6935243606567383,
0.04530265927314758,
-0.9301882386207581,
0.38385888934135437,
0.9807418584823608,
0.24783751368522644,
0.6955845355987549,
1.1720848083496094,
-0.16101723909378052,
0.7011922597885132,
-0.16737009584903717,
0.8797553777694702,
-0.14219096302986145,
0.3737567067146301,
... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
[Q]: 3, 10, ['9829', '3477', '4077', '2369', 'o', '5215', 'k', '9747', '4275', '5209', 'F', '4791', '9633', '4323', 'D', '3429', '2395', 'J', '2775', '7095', 'Q', 'S', '2173', 'p', 'Q', 'V', '3993', '8789', 'A']
[A]: 4077, 9633, 2173
[Q]: 1, 1, ['p', 'r', '621', '7843', '6595']
[A]: p, r, 621, 7843, 6595
[Q]: 1, 3, ['C', 'N', 'A', '1407', '3747', 'S', 'g']
[A]: | C, 1407, g
| 5 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
0.1618994176387787,
0.12686008214950562,
-0.7010784149169922,
-0.6321786642074585,
-0.7919423580169678,
-0.21481508016586304,
0.6950540542602539,
0.09360124915838242,
-0.4259500503540039,
0.37518227100372314,
-0.8448057770729065,
0.11299965530633926,
0.017588872462511063,
0.116140820086002... |
Detailed Instructions: In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Problem:Who worked for a newspaper?, Context: Raymond B. Bragg, the associate editor of The New Humanist, sought to consolidate the input of Leon Milton Birkhead, Charles Francis Potter, and several members of the Western Unitarian Conference. Bragg asked Roy Wood Sellars to draft a document based on this information which resulted in the publication of the Humanist Manifesto in 1933. Potter's book and the Manifesto became the cornerstones of modern humanism, the latter declaring a new religion by saying, "any religion that can hope to be a synthesising and dynamic force for today must be shaped for the needs of this age. To establish such a religion is a major necessity of the present." It then presented 15 theses of humanism as foundational principles for this new religion.
Solution: | Raymond B. Bragg | 8 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.13209617137908936,
0.1320939064025879,
-0.09964831173419952,
-0.558597207069397,
-0.09739787876605988,
-0.7294107675552368,
0.17962490022182465,
-0.23952794075012207,
0.7023335695266724,
-0.139458566904068,
-0.7696481943130493,
0.2150031179189682,
-0.21311095356941223,
-0.392767935991287... |
In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
Let me give you an example: I sting a mosquito
(A) A human is a mammal
(B)A human is omnivorous
(C)A human doesn't have stings
The answer to this example can be: C
Here is why: The third option explains why a human can't sting a mosquito correctly. So, the third option is the best choice.
OK. solve this:
Bears eat benches
(A) people sit on benches and give food to pigeons
(B)Benches are not a food
(C)honey would make the bench sticky
Answer: | B | 8 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | fs_opt | [
-0.02286059595644474,
0.5446354150772095,
-0.42149317264556885,
-0.43404442071914673,
0.13518482446670532,
-1.1215879917144775,
0.40458303689956665,
0.26339012384414673,
-0.03232021629810333,
0.45598381757736206,
-0.2227449119091034,
0.13301630318164825,
0.0054677859880030155,
-0.370246738... |
Q: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences from the story to compose your answer when possible. For the sentence describing the result, you must use the verb feel(s).
story: Sadie was on the volleyball team. She had the ball in her hands. She went to spike it over the net. Suddenly, the ball smacked another girl in the face. Sadie apologized but was asked to leave the court.
selected sentence: Suddenly, the ball smacked another girl in the face.
A: | The girl gets hit >Causes> The girl feel(s) pain | 7 | NIv2 | task749_glucose_reverse_cause_emotion_detection | zs_opt | [
-0.13574108481407166,
0.5943206548690796,
-0.08244986832141876,
-0.29215967655181885,
0.218932643532753,
-1.0769611597061157,
0.7793548107147217,
0.846574604511261,
0.3940112590789795,
-0.20213235914707184,
-0.12863969802856445,
0.6190841197967529,
-0.053531747311353683,
-0.259261459112167... |
You are given a science question (hard-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct answer for each question.
Ex Input:
There is a very slight change in gravity at the top of a mountain. Which property would most likely be less at the top of a mountain?
(A) mass (B) weight (C) body density (D) body temperature
Ex Output:
B
Ex Input:
Devil facial tumor disease (DFTD) is a disease that is decimating the population of Tasmanian devils. The disease passes from one animal to another through bites and is caused by parasites. The parasites cause cancerous tumors that spread throughout an infected animal's body and kill it. What is the best description of DFTD?
(A) a non-infectious, cell-cycle disease (B) an infectious, cell-cycle disease (C) a non-infectious, chronic disease (D) an infectious, chronic disease
Ex Output:
B
Ex Input:
Which of the following is a reason loggerhead turtles bury their eggs in holes that they dig on the beach?
(A) to keep the eggs covered with water (B) to provide the eggs with nutrients (C) to hide the eggs from predators (D) to protect the eggs from sand
Ex Output:
| C
| 1 | NIv2 | task229_arc_answer_generation_hard | fs_opt | [
0.7612435221672058,
0.06270501017570496,
-0.4524276852607727,
-0.8659985065460205,
-0.6523870229721069,
-0.6461526155471802,
0.0954815000295639,
0.6380389332771301,
-0.16871598362922668,
-0.12208043038845062,
-0.24856992065906525,
0.3467952013015747,
-0.5764048099517822,
-0.044414035975933... |
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Input: Consider Input: Context_1 : 7th (City of Belfast) Battalion, Ulster Defence Regiment (7 UDR) was formed in 1970 as part of the 7 original battalions specified in The Ulster Defence Regiment Act 1969, which received Royal Assent on 18 December 1969 and was brought into force on 1 January 1970. It was amalgamated with the 10th Battalion, Ulster Defence Regiment in 1984 to form the 7th/10th (City of Belfast) Battalion, Ulster Defence Regiment. Context_2 : The 2nd//11th (County Armagh) Battalion, Ulster Defence Regiment was formed in 1991 as a result of an amalgamation between the 2nd Battalion Ulster Defence Regiment and the 11th Battalion Ulster Defence Regiment. The resultant 2/11 UDR was subsumed into the Royal Irish Rangers in 1992 as part of the Options for Change amalgamations and was renamed the 6th Battalion Royal Irish Regiment. Context_3 : The 4th/6th (County Fermanagh and County Tyrone) Battalion, Ulster Defence Regiment was formed in 1991 as a result of an amalgamation between the 4th Battalion, Ulster Defence Regiment and the 6th Battalion, Ulster Defence Regiment. The resultant 4/6 UDR was subsumed into the Royal Irish Rangers in 1992 as part of the amalgamation which formed the Royal Irish Regiment. Context_4 : 4th (County Fermanagh) Battalion, Ulster Defence Regiment (4 UDR) was formed in 1970 as part of the 7 original battalions specified in The Ulster Defence Regiment Act 1969, which received Royal Assent on 18 December 1969 and was brought into force on 1 January 1970. It was amalgamated with the 6th Battalion, Ulster Defence Regiment in 1992 to form the 4th/6th Battalion, Ulster Defence Regiment. Context_5 : The 6th (County Tyrone) Battalion, Ulster Defence Regiment (6 UDR) was formed in 1970 as part of the seven original battalions specified in The Ulster Defence Regiment Act 1969, which received Royal Assent on 18 December 1969 and was brought into force on 1 January 1970. It was, along with the rest of the regiment, amalgamated with the Royal Irish Rangers in 1992 to form the Royal Irish Regiment. Context_6 : 1st (County Antrim) Battalion, Ulster Defence Regiment (1 UDR) was formed in 1970 as part of the 7 original battalions specified in The Ulster Defence Regiment Act 1969, which received Royal Assent on 18 December 1969 and was brought into force on 1 January 1970. It was amalgamated with the 9th Battalion, Ulster Defence Regiment in 1984 to form the 1st/9th Battalion, Ulster Defence Regiment. Context_7 : 2nd (County Armagh) Battalion, Ulster Defence Regiment (2 UDR) was formed in 1970 as part of the seven original battalions specified in the Ulster Defence Regiment Act 1969, which received Royal Assent on 18 December 1969 and was brought into force on 1 January 1970. It was, along with the rest of the regiment, amalgamated with the Royal Irish Rangers in 1992 to form the Royal Irish Regiment. It had previously been amalgamated in 1991 with the 11th Battalion Ulster Defence Regiment to form the 2nd/11th Battalion Ulster Defence Regiment. Context_8 : The Royal Irish Regiment (27th (Inniskilling) 83rd and 87th and Ulster Defence Regiment) (R IRISH) is an infantry regiment of the British Army. The regiment was founded in 1992 through the amalgamation of the Royal Irish Rangers and the Ulster Defence Regiment. Their oldest predecessor; the 27th Regiment of Foot; was first raised in June 1689 to fight in the Williamite War in Ireland. Other notable regiments in their lineage include the Royal Inniskilling Fusiliers, Royal Irish Rifles and the Royal Irish Fusiliers (Princess Victoria's). Context_9 : The 7th/10th (City of Belfast) Battalion, Ulster Defence Regiment was formed in 1984 as a result of an amalgamation between the 7th Battalion Ulster Defence Regiment and the 10th Battalion Ulster Defence Regiment. The resultant 7/10 UDR was subsumed into the Royal Irish Rangers in 1992 as part of the amalgamation which formed the Royal Irish Regiment. Context_10 : The 11th (Craigavon) Battalion, Ulster Defence Regiment was formed from companies of the 2nd Battalion Ulster Defence Regiment (2 UDR) and the 3rd Battalion Ulster Defence Regiment in 1972. In 1991 under the reductions planned in Options for Change by the British Army, it again amalgamated with 2 UDR to form the 2nd/11th Battalion Ulster Defence Regiment. fact_1 : It was, along with the rest of the regiment, amalgamated with the Royal Irish Rangers in 1992 to form the Royal Irish Regiment. fact_2 : Their oldest predecessor; the 27th Regiment of Foot; was first raised in June 1689 to fight in the Williamite War in Ireland. Answer: the 27th Regiment of Foot
Output: The regiment that the 6th Battalion, Ulster Defence Regiment grouped into had who as their oldest predecessor?
Input: Consider Input: Context_1 : Scarlett is a 1991 novel by Alexandra Ripley, written as a sequel to Margaret Mitchell's 1936 novel, "Gone with the Wind". The book debuted on "The New York Times" bestsellers list, but both critics and fans of the original novel found Ripley's version to be inconsistent with the literary quality of "Gone with the Wind". Context_2 : Katie Scarlett O'Hara is a fictional character and the main protagonist in Margaret Mitchell's 1936 novel "Gone with the Wind" and in the later film of the same name. She also is the main character in the 1970 musical "Scarlett" and the 1991 book "Scarlett", a sequel to "Gone with the Wind" that was written by Alexandra Ripley and adapted for a television mini-series in 1994. During early drafts of the original novel, Mitchell referred to her heroine as "Pansy", and did not decide on the name "Scarlett" until just before the novel went to print. Context_3 : Melanie is a feminine given name derived from the Greek μελανία (melania), "blackness" and that from μέλας (melas), meaning "dark". Borne in its Latin form by two saints: Melania the Elder and her granddaughter Melania the Younger, the name was introduced to England by the Normans in its French form "Melanie". However the name only became common in English usage in the 1930s due to the popularity of Margaret Mitchell's 1936 novel "Gone with the Wind" and its 1939 film adaptation, as one of the novel's main characters was named Melanie Hamilton. The name's popularity increased until the 1970s since remaining constant. Melanie was the 80th most popular name for girls born in the United States in 2007 and, as Mélanie, it was the 86th most popular name for girls born in France in 2004. Context_4 : The Wind Done Gone (2001) is the first novel written by Alice Randall. It is a bestselling historical novel that tells an alternative account of the story in the American novel "Gone with the Wind" (1936) by Margaret Mitchell. While the story of "Gone with the Wind" focuses on the life of a wealthy slave owner, Scarlett O'Hara, "The Wind Done Gone" tells the story of the life of one of her slaves, Cynara, during the same time period and events. Context_5 : Alexander Doll Company is an American manufacturer of collectible dolls. The business was founded in 1923 by Beatrice Alexander, a New York City woman who designed and sewed cloth dolls. Styling herself Madame Alexander, which also became the trade name for her dolls, Alexander went on to create dolls replicating famous personalities and characters in books, films, music, and art. Among her notable creations were dolls replicating the Dionne quintuplets, Scarlett O'Hara, and the royal family and attendees at the 1953 coronation of Queen Elizabeth II. The company produced the first fashion doll, "Cissy", four years before Barbie was released. Continually aiming to improve her product, Alexander began making hard plastic dolls after World War I and vinyl plastic dolls in the 1960s. By the 1960s the company was the leading American doll manufacturer. In the 1980s, it released one million dolls annually. Beatrice Alexander ran the company for 65 years and sold it in 1988. As of 2016, the company has produced 6,500 dolls. Context_6 : George Ashley Wilkes is a fictional character in Margaret Mitchell's 1936 novel "Gone with the Wind" and the later film of the same name. The character also appears in the 1991 book "Scarlett", a sequel to "Gone with the Wind" written by Alexandra Ripley, and in "Rhett Butler's People" by Donald McCaig. Context_7 : Lorena is a feminine given name with different origins. It can be used as an Italian, Portuguese and Spanish version of Lorraine or, alternately, as a Latin version of Lauren. As used in the United States, it may have come from the song title of a popular 1856 song by Rev. Henry D.L. Webster and Joseph Philbrick Webster, who are said to have derived the name from an anagram of the name Lenore, a character in Edgar Allan Poe's 1845 poem "The Raven". In Margaret Mitchell's 1936 novel "Gone with the Wind," Scarlett O'Hara's daughter with Frank Kennedy was named Ella Lorena in reference to the song "Lorena". Frank G. Slaughter wrote a book called Lorena in which the character was also called "Reeny" hence the alternative pronunciation of Lor ee na. Context_8 : In Margaret Mitchell's novel "Gone with the Wind", Twelve Oaks is the plantation home of the Wilkes family in Clayton County, Georgia named for the twelve great oak trees that surround the family mansion in an almost perfect circle. Twelve Oaks was described as a "beautiful white-columned house that crowned the hill like a Greek Temple," having true southern charm and whimsy. Margaret Mitchell came up with the idea for The Twelve Oaks, and modeled the home after an actual antebellum mansion located in the historic area of Covington, Georgia. The home that was portrayed as Margaret Mitchell's Twelve Oaks in the film "Gone with the Wind" has been renovated and is now open as a bed and breakfast and event facility in Covington, Georgia, thirty minutes east of Atlanta. Context_9 : Gone with the Wind is a 1939 American epic historical romance film adapted from Margaret Mitchell's 1936 novel of the same name. The film was produced by David O. Selznick of Selznick International Pictures and directed by Victor Fleming. Set in the American South against the backdrop of the American Civil War and Reconstruction era, the film tells the story of Scarlett O'Hara, the strong-willed daughter of a Georgia plantation owner, from her romantic pursuit of Ashley Wilkes, who is married to his cousin, Melanie Hamilton, to her marriage to Rhett Butler. The leading roles are portrayed by Vivien Leigh (Scarlett), Clark Gable (Rhett), Leslie Howard (Ashley), and Olivia de Havilland (Melanie). Context_10 : Bertha "Beatrice" Alexander Behrman (March 9, 1895 – October 3, 1990), known as Madame Alexander, was an American dollmaker. Founder and owner of the Alexander Doll Company in New York City for 65 years, she introduced new materials and innovative designs to create lifelike dolls based on famous people and characters in books, films, music, and art. Among her notable creations were the Scarlett O'Hara doll, the Dionne quintuplets dolls, and a 36-doll set of the royal family and their guests at the 1953 coronation of Queen Elizabeth II. During her stewardship, the company produced more than 5,000 dolls, many of which became collector's items. fact_1 : Among her notable creations were the Scarlett O'Hara doll, the Dionne quintuplets dolls, and a 36-doll set of the royal family and their guests at the 1953 coronation of Queen Elizabeth II. fact_2 : Katie Scarlett O'Hara is a fictional character and the main protagonist in Margaret Mitchell's 1936 novel "Gone with the Wind" and in the later film of the same name. Answer: Scarlett O'Hara
Output: Bertha Beatrice Alexander Behrman, known as Madame Alexander, was an American dollmaker, among her notable creations were which doll of a fictional character and the main protagonist in Margaret Mitchells 1936 novel Gone with the Wind and in the later film of the same name?
Input: Consider Input: Context_1 : An American Tail is a franchise based on the 1986 animated film of the same name directed by Don Bluth and produced by Sullivan Bluth Studios/Amblin Entertainment. Context_2 : An American Tail: Fievel Goes West (Japanese: アメリカ物語2/ファイベル西へ行く , Hepburn: Amerika Monogatari 2/Faiberu nishi e Iku ) is a Super NES video game released in 1994. It is the second game released based on the , the other title being an adventure game for the PC, published by Capstone Software. Context_3 : "Somewhere Out There" is a 1986 song released by MCA Records and recorded by American singers Linda Ronstadt and James Ingram for the soundtrack of the 1986 animated film "An American Tail", directed by Don Bluth. It was written by James Horner, Barry Mann and Cynthia Weil with production done by Peter Asher and Steve Tyrell serving as the associate producer. Context_4 : Amblimation was the animation production arm of Steven Spielberg's Amblin Entertainment. The studio was shut down in 1997 and some of the Amblimation staff went on to join DreamWorks Animation. It was known for its quieter atmosphere, more subdued acting, and more atmospheric pace compared to a great deal of American animated films; these qualities usually led to underperformance at American box offices and may have factored in the decision to close the studio down. The company's mascot, Fievel Mousekewitz ("An American Tail"), appears in its production logo. It only made 3 films. A project to adapt the 1981 Andrew Lloyd Webber musical "Cats" was in the making, but was abandoned with the studio's closure. Context_5 : A Troll in Central Park (released in some countries as Stanley's Magic Garden) is a 1994 American animated musical fantasy-comedy film directed by Don Bluth and Gary Goldman, creators of "Rock-A-Doodle", "The Land Before Time", "All Dogs Go to Heaven", "The Secret of NIMH" and "An American Tail". It was released on October 7, 1994, by Warner Bros. Family Entertainment. The film grossed $71,368 at the North American box office. Context_6 : "Dreams to Dream" is a song from the 1991 animated feature film "", directed by Phil Nibbelink and Simon Wells, with music by James Horner and lyrics by Will Jennings, based on a short instrumental piece from its prequel "An American Tail" (1986). The original version was sung by Cathy Cavadini in her role of Tanya Mousekewitz during the film. Context_7 : The Jungle Book is a 1967 American animated musical adventure film produced by Walt Disney Productions. Inspired by Rudyard Kipling's book of the same name, it is the 19th Disney animated feature film. Directed by Wolfgang Reitherman, it was the last film to be produced by Walt Disney, who died during its production. The plot follows Mowgli, a feral child raised in the Indian jungle by wolves, as his friends Bagheera the panther and Baloo the bear try to convince him to leave the jungle before the evil tiger Shere Khan arrives. Context_8 : An American Tail is a 1986 American animated musical adventure family comedy-drama film directed by Don Bluth and produced by Sullivan Bluth Studios and Amblin Entertainment. It tells the story of Fievel Mousekewitz and his family as they emigrate from Russian Empire-controlled territory of Ukraine to the United States for freedom. However, he gets lost and must find a way to reunite with them. It was released on November 21, 1986, to reviews that ranged from positive to mixed and was a box office hit, making it the highest-grossing non-Disney animated film at the time. The success of it, "The Land Before Time", and Disney's "Who Framed Roger Rabbit", as well as Bluth's departure from their partnership, prompted Steven Spielberg to establish his own animation studio, Amblimation. Context_9 : An American Tail: Fievel Goes West (also known as An American Tail II: Fievel Goes West & An American Tail II) is a 1991 American animated comedy western film produced by Steven Spielberg's Amblimation animation studio and released by Universal Pictures. It is the sequel to "An American Tail", and the last installment in the series to be released theatrically. Two direct-to-video sequels were released in the late 1990s. A continuation, "Fievel's American Tails", aired on CBS in 1992. Context_10 : Marco Polo Junior Versus the Red Dragon is a 1972 Australian animated musical adventure film directed by Eric Porter, written by Sheldon Moldoff, and was the country's first animated feature film. The two sequence directors were Porter's animation director Cam Ford (who had previously worked on the Beatles' "Yellow Submarine") and Peter Gardiner. fact_1 : "Dreams to Dream" is a song from the 1991 animated feature film "", directed by Phil Nibbelink and Simon Wells, with music by James Horner and lyrics by Will Jennings, based on a short instrumental piece from its prequel "An American Tail" (1986). fact_2 : An American Tail is a 1986 American animated musical adventure family comedy-drama film directed by Don Bluth and produced by Sullivan Bluth Studios and Amblin Entertainment. Answer: 1986
| Output: Dreams to Dream is a song from the 1991 animated feature film An American Tail: Fievel Goes West, based on a short instrumental piece from its prequel An American Tail, released in which year, an American animated musical adventure family comedydrama film directed by Don Bluth?
| 2 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
1.061582326889038,
1.3386805057525635,
-0.5063475370407104,
0.11703763157129288,
0.20540650188922882,
-1.087104320526123,
0.8777321577072144,
1.1256399154663086,
0.29539942741394043,
-0.6201928853988647,
-0.38837987184524536,
0.5605652928352356,
-1.0176002979278564,
0.3773113787174225,
-... |
Given the task definition and input, reply with output. In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
EUEAEL
| L | 5 | NIv2 | task365_synthetic_remove_vowels | zs_opt | [
0.10443241894245148,
1.1565665006637573,
0.1260770708322525,
-0.38767457008361816,
0.41148433089256287,
-0.8352311253547668,
0.42542487382888794,
0.6094273328781128,
-0.07527299225330353,
-0.37837904691696167,
-0.06297516822814941,
-0.08684757351875305,
0.17134998738765717,
-0.773846387863... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
持続可能性について考えることの手助けとなると思っています建設的な方法を使ってですそして教育にもなりますリサイクルのことは知っているでしょうが全てのことの持続可能性を考えたりはしていないでしょうエネルギーフットプリント 'やそれがどうして重要なのかも
Output: | Creo que esto empieza a motivar toda la idea sobre sostenibilidad de un modo positivo, Y empieza a enseñarles. Ellos saben sobre reciclaje ahora pero creo que no sacan la sostenibilidad de todas las cosas, y sobre la huella energética, y cómo eso importa. | 1 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.5452027320861816,
0.27489614486694336,
0.3024883270263672,
-0.25006985664367676,
-0.5820004940032959,
-1.4656786918640137,
0.37315815687179565,
0.6853502988815308,
0.07712007313966751,
-0.3375435173511505,
-0.011183775030076504,
0.11367091536521912,
-0.6317934393882751,
-0.1434805989265... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Ex Input:
Passage: The Very Best of TLC: Crazy Sexy Hits material is taken from four of their studio albums: Ooooooohhh... On the TLC Tip (1992), CrazySexyCool (1994), FanMail (1999), and 3D (2002), and Now & Forever: The Hits (2003), which were all recorded from 1991 to 2003. Their 1993 cover of The Time's "Get It Up" for the soundtrack to Poetic Justice does not appear on any of their studio albums, but still appears on the compilation along with the trio's most successful singles in the United Kingdom. These include "No Scrubs", which placed at number three on the UK Singles Chart and was awarded a platinum certification from the British Phonographic Industry (BPI); "Waterfalls", which peaked at number four on the UK Singles Chart and also achieved platinum status; "Unpretty", a silver-certificated single which peaked at number six on the UK Singles Chart, and "Creep", which also peaked at number six on the UK Singles Chart after being reissued across the UK and Europe. It did not, however, include "Dear Lie", a moderately received UK single which was certified silver. Instead, the non-charting songs "Come Get Some", "Damaged" and "Get It Up" were included in the final track listing, with "Whoop De Woo" (a non-album track) and "In Your Arms Tonight" (from 3D) the only two non-single tracks that appeared the compilation.
Link Information:
"No Scrubs" met with international success. It became TLC's third number-one single and eighth top 10 single on the Billboard Hot 100. It also earned them their second Grammy Award nomination for Record of the Year. "No Scrubs" is one of TLC's signature songs and was the second-biggest Hot 100 single of 1999 in the U.S Question: Which TLC hit that reached top 10 on the UK Singles Chart was the most successful commercially?
Ex Output:
Answer: "No Scrubs"
Ex Input:
Passage: Amissah-Arthur was born at Cape Coast on 29 April 1951, the capital of the Central Region of Ghana, at the time organized as British Gold Coast Colony. His mother, Effie Amissah-Arthur is from the Hutchful family while his father, Jabesh Richmond P. Amissah-Arthur, an educator was from the Amissah-Arthur family and served as the second and longest serving headmaster of the Oda Secondary School at Akyem-Oda in the Eastern Region from September 1961 to December, 1977. Both families originated from Cape Coast and are of Fante ethnic origin. Kwesi Amissah-Arthur had five other siblings - one brother and four sisters. He attended the Aboom Methodist 'B' Primary School in Cape Coast and passed the Common Entrance examination from the Akim Oda Methodist School in 1964. He completed his secondary education at the Mfantsipim School, where he obtained the GCE Ordinary Level in 1969 and the GCE Advanced Level in 1971. At Mfantsipim, he was a resident of Lockhart-Schweitzer House. He proceeded to the University of Ghana at Legon, where he obtained the B.Sc. in 1974 and M.Sc. in 1976, both in Economics.
Link Information: none Question: How many students currently attend the Mfantsipim School?
Ex Output:
Answer: none
Ex Input:
Passage: Presidential elections were held in South Korea on 19 December 2012. They were the sixth presidential elections since democratization and the establishment of the Sixth Republic, and was held under a first-past-the-post system, in which there was a single round of voting and the candidate receiving the highest number of votes was elected. Under the South Korean constitution, presidents are restricted to a single five-year term in office. The term of incumbent president Lee Myung-bak ended on 24 February 2013. According to the Korea Times, 30.7 million people voted with turnout at 75.8%. Park Geun-hye of the Saenuri party was elected the first female South Korean president with 51.6% of the vote opposed to 48.0% for her opponent Moon Jae-in. Park's share of the vote was the highest won by any candidate since the beginning of free and fair direct elections in 1987.
Link Information: Lee won the presidential election in December 2007 with 48.7% of the vote which was considered a landslide. Question: What was the percentage share of the vote of Park's predecessor?
Ex Output:
| Answer: 48.7%
| 1 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
0.1508311629295349,
-0.04802186042070389,
-0.42675110697746277,
-0.20890673995018005,
0.6570483446121216,
-0.5517342686653137,
0.4677872359752655,
0.4687674343585968,
-0.6070563793182373,
0.5621156692504883,
-0.3216041028499603,
0.41516169905662537,
-0.6636258363723755,
0.0810566246509552,... |
Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: しばしばソウル界のゴッドファーザーと呼ばれるジェームズ・ブラウンが鬱血性心不全と肺炎の合併症によりアトランタで亡くなった。
Bahasa Indonesia: James Brown, sering disebut sebagai Ayah Baptis Soul, meninggal di Atlanta akibat gagal jantung kongesti, kombinasi dengan radang paru. | Yes | 0 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.2093707025051117,
0.014689566567540169,
-0.01825689524412155,
-0.15606200695037842,
0.05396650731563568,
-1.5244601964950562,
0.03960437327623367,
-0.311371386051178,
0.06366188824176788,
0.1411140263080597,
-0.23051907122135162,
0.17459306120872498,
-0.4323646128177643,
0.4954361915588... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
[Q]: Context: We need more men like Drake who will call out trash who objectify, harass and grope women.— Luke Waltham (@lukewaltham) November 16, 2017 Question: what is the hashtag in this post? Answer: #rupertsfault
[A]: no
[Q]: Context: Greg Auman @gregaumanShrine Game gives offensive MVP to RB Eli McGuire, who had game's only TD, and defensive MVP to Trey Hendrickson, who had a sack-fumble.1/21/2017, 11:12:45 PM Question: what did hendrickson have Answer: a sack-fumble
[A]: yes
[Q]: Context: All the winners for musical leads are BLACK. Don't let them erase that. They are BLACK #TonyssoBLACK #TonyAwards— shanna baenana (@shittybonmots) June 13, 2016 Question: why might trump not have done even better in a popular vote? Answer: it might not be possible.
[A]: | no
| 5 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.2205972522497177,
0.38324329257011414,
0.1811610460281372,
0.13146692514419556,
-0.17753344774246216,
-0.4198760986328125,
-0.12874868512153625,
0.4051934480667114,
-0.13197316229343414,
0.4079068899154663,
-0.29935356974601746,
0.16176795959472656,
-0.3160596489906311,
-0.2613420486450... |
Teacher: The task is to generate the correct answer for a given math problem.
Teacher: Now, understand the problem? If you are still confused, see the following example:
a multiple choice test consists of 4 questions, and each question has 5 answer choices. in how many r ways can the test be completed if every question is unanswered ?
Solution: 625
Reason: Total r of 5 * 5 * 5 * 5 = 5 ^ 4 = 625 ways to answer all of them. Therefore, the answer is 625.
Now, solve this instance: Problem: given f ( x ) = 3 x – 5 , for what value of x does 2 * [ f ( x ) ] + 2 = f ( 3 x – 6 )
Student: | 5 | 2 | NIv2 | task1726_mathqa_correct_answer_generation | fs_opt | [
0.2466544657945633,
-0.2948833107948303,
0.5636794567108154,
0.040297817438840866,
0.31941476464271545,
0.35761019587516785,
0.3971533179283142,
0.7100874781608582,
-0.4072723984718323,
-0.13036635518074036,
-0.46613550186157227,
-0.29432979226112366,
-0.6350485682487488,
-0.25272327661514... |
Teacher:Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Teacher: Now, understand the problem? Solve this instance: Works perfectly for my Surface Pro 3. Thanks!
Student: | Five Stars | 6 | NIv2 | task1342_amazon_us_reviews_title | zs_opt | [
-0.29793691635131836,
-0.22577807307243347,
0.022642403841018677,
-0.9941931962966919,
0.4557289183139801,
-0.2292046844959259,
0.29595908522605896,
0.2769136428833008,
0.30091196298599243,
0.19354534149169922,
0.5170731544494629,
0.6262426376342773,
-0.29567766189575195,
-0.80010795593261... |
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Verify if the sentiment of the following document towards the entity Donald J. Trump is Positive . Hours after Sen. Al Franken (D-Minn.) acknowledged his inappropriate behavior toward radio host Leeann Tweeden President Trump added his thoughts.
The Al Frankenstien picture is really bad speaks a thousand words. Where do his hands go in pictures 2 3 4 5 & 6 while she sleeps? â¦.. â Donald J. Trump (@realDonaldTrump) November 17 2017
.And to think that just last week he was lecturing anyone who would listen about sexual harassment and respect for women. Lesley Stahl tape? â Donald J. Trump (@realDonaldTrump) November 17 2017
Trump though has been quiet about the allegations against Moore. Through his press secretary the president has said that the allegations against Moore are âtroublingâ and that if proven to be true he should leave the Senate race. Asked on Thursday how the allegations might be proven to be true White House press secretary Sarah Huckabee Sanders said that it âshould be determined possibly by a court of lawâ â which of course wonât happen by next monthâs election. She left the final judgment to âthe people of Alabama . . . not the president whether they want Roy Moore to support them in the Senate.â
Trump offered no tweets about Moore after the allegations emerged. Before The Post revealed the first of the stories involving Moore Trump tweeted his congratulations to the candidate saying that he âsounds like a really great guy.â
100% fabricated and made-up charges pushed strongly by the media and the Clinton Campaign may poison the minds of the American Voter. FIX! â Donald J. Trump (@realDonaldTrump) October 15 2016
Nothing ever happened with any of these women. Totally made up nonsense to steal the election. Nobody has more respect for women than me! â Donald J. Trump (@realDonaldTrump) October 15 2016
The failing @nytimes reporters don't even call us anymore they just write whatever they want to write making up sources along the way! â Donald J. Trump (@realDonaldTrump) October 15 2016
New polls are good because the media has deceived the public by putting women front and center with made-up stories and lies and got caught â Donald J. Trump (@realDonaldTrump) October 17 2016
Can't believe these totally phoney stories 100% made up by women (many already proven false) and pushed big time by press have impact! â Donald J. Trump (@realDonaldTrump) October 17 2016
All of those comments were before Election Day last year. As we noted last month television news coverage moved on from the allegations against Trump to the WikiLeaks documents and the letter from FBI Director James B. Comey.
The White House has addressed the allegations since Trump was inaugurated. At a news conference last month Trump again dismissed the charges out-of-hand.
There were other allegations that Trump preferred to talk about during 2016: those against Bill Clinton. In the wake of the release of the âAccess Hollywoodâ tape in which Trump described groping women without their consent Trump and his campaign began to focus on Clintonâs behavior. Before the second presidential debate Trump invited three women who said theyâd been assaulted by Clinton or had a relationship with him to join him for a news conference.
Exclusive VideoâBroaddrick Willey Jones to Bill's Defenders: âThese Are Crimes â âTerrifiedâ of âEnablerâ Hillary [Link] â Donald J. Trump (@realDonaldTrump) October 9 2016
Thereâs never been anyone more abusive to women in politics than Bill Clinton.My words were unfortunate-the Clintonsâ actions were far worse â Donald J. Trump (@realDonaldTrump) October 10 2016
Itâs worth noting that this was a dramatic shift from how Trump spoke about the allegations against Clinton during the late 1990s. | no | 0 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
-0.48176309466362,
0.44352707266807556,
-0.48379766941070557,
0.38583892583847046,
0.7320492267608643,
-0.32809901237487793,
0.2805368900299072,
0.908500075340271,
-0.2922390103340149,
0.388082891702652,
-0.0016284303274005651,
0.6732744574546814,
-0.38119158148765564,
0.19511611759662628,... |
Detailed Instructions: Two analogies that signify affordances are given in the form "A : B. C : ?". Affordance is the possibility of an action being done on an object, for example book is an affordance of writing. The phrase "A : B" implies that B is an affordance of A. Your task is to replace the question mark (?) with the appropriate affordance of the given action C, following the "A : B" relation. Your answer should be a single object without further explanation.
Q: pursue : quarry. wash : ?
A: | dishes | 9 | NIv2 | task1153_bard_analogical_reasoning_affordance | zs_opt | [
0.0848124697804451,
0.9631520509719849,
-0.28651025891304016,
0.09583836793899536,
-0.6758161187171936,
-0.11901496350765228,
0.8975239992141724,
0.22257187962532043,
-0.026965441182255745,
-0.06553322076797485,
-0.6012891530990601,
-0.16745230555534363,
0.23400884866714478,
0.227853178977... |
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