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 |
|---|---|---|---|---|---|---|
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.
One example: ये मेरे देश के मतदाताओं की ताकत है।
Solution is here: हे माझ्या देशाच्या मतदारांची शक्ती आहे.
Explanation: Correct translation for given sentence. Input sentence means 'This is the power of my country's voters.' which is the same as the output sentence.
Now, solve this: जेई से प्रभावित 231 जिलों में से 216 जिलों में 1-15 उम्र समूह में टीकाकरण कार्यक्रम को पूरा किया गया।
Solution: | जे ई प्रवण 231 जिल्ह्यांपैकी 216 जिल्ह्यात 1 ते 15 वयोगटातल्या मुलांचे, जे ई लसीकरण अभियान पूर्ण | 6 | NIv2 | task1081_pib_translation_hindi_marathi | fs_opt | [
0.30902838706970215,
0.7037038803100586,
0.2413754165172577,
0.003992031794041395,
0.15106961131095886,
-1.4153934717178345,
0.6838124394416809,
0.7531489133834839,
-0.8694160580635071,
0.03109411522746086,
-0.43995431065559387,
-0.25226470828056335,
-0.33267074823379517,
-0.15687790513038... |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in the two lists with the updated substring.
Ex Input:
lACbjQNaDwdy, pCrCbjQNaDnLyngo
Ex Output:
lAabcdjnqwdy, pCrabcdjnqnLyngo
Ex Input:
HppGPOPPMFSMx, HwYYPOPPMFDajE
Ex Output:
HppGfmopppSMx, HwYYfmopppDajE
Ex Input:
aDaBjNPfaRkWp, xLcTjBjNPfaiHSNtw
Ex Output:
| aDaabfjnpRkWp, xLcTjabfjnpiHSNtw
| 1 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
-0.06777577847242355,
0.4393012523651123,
-0.015010748989880085,
0.09402912110090256,
0.06957665830850601,
0.25164514780044556,
0.3889947831630707,
0.09456773847341537,
-0.2122698426246643,
0.1725526601076126,
-1.1157692670822144,
-0.6357641220092773,
0.0005861751269549131,
-0.294020295143... |
Given the task definition and input, reply with output. The provided file includes inquiries about restaurants in Japanese, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
" japanese "レストランを表示してください。
| show me " japanese " restaurants . | 5 | NIv2 | task262_spl_translation_ja_en | zs_opt | [
-0.4129112958908081,
0.4037266671657562,
0.15228644013404846,
0.024950411170721054,
-0.0069330488331615925,
-0.5748512148857117,
0.5856997966766357,
0.6749025583267212,
-0.3943195343017578,
-0.5590840578079224,
0.5969580411911011,
0.3479597270488739,
-0.5058597922325134,
0.5164110064506531... |
Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.
One example is below.
Q: "Although the story didn’t cite the cost of appendectomy – emergency or urgent surgery – and we wish it had, we nonetheless will give it a satisfactory score because it at least cited what the editorial writer wrote, ""A secondary benefit is the savings to the hospital generated by minimizing staff and anesthesiologist presence late in the evening and during the wee hours of the morning."" As with our harms score above, although the story didn’t give absolute numbers, in this case we think it was sufficient for it to report that ""The scientists found no significant difference among the groups in the patients’ condition 30 days after surgery or in the length of their operation or hospital stay."" Although the story didn’t give absolute numbers, in this case we think it was sufficient for it to report that ""The scientists found no significant difference among the groups in the patients’ condition 30 days after surgery or in the length of their operation or hospital stay."" Despite running less than 300 words, this story did an adequate job in explaining the quality of the evidence, including pointing out limitations. No disease-mongering here. The story meets the bare minimum requirement for this criterion in that it at least cited what an editorial stated. The focus of the story was on a study comparing emergency appendectomy with surgery done up to 12 hours later or beyond. This is the whole focus of the story – and one we applaud – when it begins: ""Appendectomy is the most common emergency surgery in the world, but it doesn’t have to be."" There were no claims made about the novelty of this research, and we may have wished for a bit more context on this. Nonetheless, the potential for guiding future care decisions was made clear. Not applicable. Given that the story only pulled excerpts from the journal article and the accompanying editorial, and didn’t include any fresh quotes from interviews, we can’t be sure of the extent to which it may have been influenced by a news release."
A: Some appendicitis cases may not require ’emergency’ surgery
Rationale: The paragraph mentions that "Appendectomy is the most common emergency surgery in the world, but it doesn’t have to be." which is considered evidence for the output. Thus, the output is a valid claim.
Q: "In the third and final presidential debate, Republican nominee Donald Trump blamed President Barack Obama and Democratic nominee Hillary Clinton for many of the problems faced by people in New Hampshire. Trump said that included drug addiction. ""The single-biggest problem is heroin that pours across our southern borders, just pouring, and destroying their youth and is poisoning the blood of their youth and plenty of other people,"" Trump said. We’ve all heard of poppy fields blooming in Afghanistan, but is Trump right that heroin is entering the United States largely through the southern border? Yes. Even though Southwest Asia supplies heroin to most of the rest of the world, nearly all of the heroin available in the United States comes from Mexico and South America. ""Mexico, and to a lesser extent, Colombia, dominate the U.S. heroin market, because of their proximity, established transportation and distribution infrastructure, and ability to satisfy US heroin demand,"" the U.S. Drug Enforcement Administration wrote in its National Drug Threat Assessment of 2015. ""Mexico continues as the primary supplier of heroin to the United States,"" the White House’s page on the international heroin market reads. ""Estimated cultivation of opium poppy reached 10,500 hectares in 2012, with an estimated pure potential production of 26 metric tons."" Here’s a chart from the DEA report demonstrating the prevalence of heroin from the southern border: As you can see, South America and Mexico have been the sources for much of the heroin in U.S. markets for the past two decades. In recent years, Mexican traffickers have expanded by simultaneously wedging black tar heroin into Northeastern markets dominated by Colombian white powder heroin and increasing production and distribution of white powder heroin themselves. Mexican heroin accounted for 45 percent of the total weight of heroin the DEA seized and analyzed in 2012 (South American heroin accounted for 51 percent). By 2014, the proportion of Mexican heroin had grown to 79 percent (South American heroin made up about 17 percent), DEA spokesman Russell Baer told PolitiFact in September. This market share is also reflected in the amount of heroin seized at the border and the amount grown in Mexico. From 2013 to 2015, the amount of poppy fields cultivated in Mexico increased by 169 percent from 11,000 hectares to 28,000 hectares, according to Baer. In 2008, the total amount of heroin seized at the U.S.-Mexico border (about 560 kilograms) surpassed the amount seized from commercial airlines for the first time (about 400 kilograms). Border seizures nearly quadrupled from 2008 to 2015 (2,210 kilograms), according to data provided to us by Baer. ""The majority of the drugs in the U.S. market are trafficked across the Southwest Border from Mexico into the US. Southwest Border seizures conducted by U.S. Customs and Border Protection, while not the complete picture, provide insight into trafficking trends,"" he said. Traffickers typically smuggle the drugs in through secret compartments in vehicles across the border (illegally and legally), transport them to stash houses in hub cities like Dallas, Los Angeles and Phoenix, and then distribute to the Midwest and East Coast. Our ruling Trump said heroin ""pours across our southern borders."" The vast majority of heroin in the United States comes from Mexico and South America."
A: | Heroin .. pours across our southern borders. | 9 | NIv2 | task1368_healthfact_sentence_generation | fs_opt | [
0.9904937148094177,
0.45092397928237915,
-0.03052336350083351,
-0.059525180608034134,
0.6555607318878174,
-0.32461869716644287,
0.033286284655332565,
1.3955820798873901,
-0.3323037624359131,
0.10877333581447601,
-0.654976487159729,
0.5777125358581543,
-0.2424560934305191,
0.179564207792282... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Q: 弾丸がこの方の脊椎の横に留まっているのが見えます
A: | Tutaj można zobaczyć kulę, która utknęła tuż przy kręgosłupie tej osoby. | 4 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
0.06177596002817154,
0.8746470808982849,
0.21974849700927734,
-0.7793710231781006,
0.01189854834228754,
-1.0028867721557617,
1.2300761938095093,
0.20638000965118408,
0.5865540504455566,
0.0753512978553772,
0.40667620301246643,
0.6056605577468872,
-0.8454008102416992,
0.8265554904937744,
... |
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: I am surprised, Richard, that you find Faludi's characterizations of the male crisis to fit the British profile. Sentence 2: The chateau is closed on Tuesdays and Sundays. Genre: travel.
N
Sentence 1: The state organization provided meeting rooms and administrative support while the professional organization used its professional contacts to obtain knowledgeable speakers. Sentence 2: During the last several laps, Gordon was in the lead at over 180 mph. Genre: government.
N
Sentence 1: He had failed. Sentence 2: Many years spent productively. Genre: government.
| N
| 0 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-0.8910349607467651,
0.46726760268211365,
0.1436598151922226,
-0.7641259431838989,
-0.09175050258636475,
0.39259910583496094,
0.3141043782234192,
0.6005373001098633,
0.5224736928939819,
0.1183505654335022,
-0.5668388605117798,
0.03817401081323624,
-0.7373040318489075,
-0.01971704512834549,... |
Instructions: In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Input: Problem: find the annual income derived by investing $ 6800 in 40 % stock at 136 .
Options: a ) 550 , b ) 2000 , c ) 250 , d ) 3000 , e ) 400
Output: | b | 3 | NIv2 | task1419_mathqa_gain | zs_opt | [
-0.10078058391809464,
0.667156457901001,
-0.22766435146331787,
0.007915247231721878,
-0.4650370180606842,
-0.24110738933086395,
0.3935476243495941,
0.8239266872406006,
0.2525082528591156,
0.20754365622997284,
-0.7161823511123657,
0.023921456187963486,
-0.9613118171691895,
-0.37941950559616... |
Instructions: In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun phrase. The capital 'I' denotes all following words of the same noun phrase. If a word is not a part of a proper noun phrase, do not label it.
Input: The tournament , starting on August 26 , also includes India and Zimbabwe .
Output: | The tournament , starting on August 26 , also includes India <B-LOC> and Zimbabwe <B-LOC> . | 3 | NIv2 | task610_conllpp_ner | zs_opt | [
-0.32621318101882935,
0.2602013647556305,
-0.23100993037223816,
0.09349779784679413,
-0.2050420343875885,
0.09768316149711609,
0.8296256065368652,
-0.2559509873390198,
-0.7012420296669006,
-0.5831173658370972,
-0.7106184959411621,
0.1731913834810257,
-0.4323222041130066,
0.1744162738323211... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
One example is below.
Q: What is the part-of-speech tag of the word "the" in the following question: Who were the builders of the mosque in Herat with fire temples ?
A: IN
Rationale: This is a good example. POS tag of the is DT and IN is incorrect.
Q: What is the part-of-speech tag of the word "university" in the following question: What century did the university attended by Clarence Verdin transition to a university of four years ?
A: | VBD | 9 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.48650774359703064,
0.8953443765640259,
-0.4175042510032654,
0.003926025237888098,
0.1221650019288063,
-0.7952269315719604,
0.6705881357192993,
0.5332168340682983,
-0.6740179061889648,
0.11368092149496078,
-0.037156738340854645,
0.45009154081344604,
-0.3076986074447632,
0.1007150560617446... |
Detailed Instructions: 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.
Q: Fish breathe oxygen that is in the water where they swim. Which best describes the oxygen that fish breathe?
(A) The oxygen is a solution that dissolves the water. (B) The oxygen is a substance that dissolves the water. (C) The oxygen is a solute that is dissolved in the water. (D) The oxygen is a solvent that is dissolved in the water.
A: | C | 9 | NIv2 | task229_arc_answer_generation_hard | zs_opt | [
-0.13796335458755493,
0.26788973808288574,
-1.2689340114593506,
-1.1575686931610107,
-0.08836057782173157,
-0.8302100896835327,
1.1431939601898193,
0.10065895318984985,
0.768419623374939,
-0.08261877298355103,
-0.3841325640678406,
-0.7531087398529053,
-0.1735074669122696,
0.350833415985107... |
Teacher: In this task, you will be presented with a question having multiple possible answers in Swahili language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Question: Meja Tom alitaka kuhifadhi silaha. Kama hatari kama wao, alihisi kuwa wangeweza kuwa na nini baadaye?
Options: (A) taka (B) mitaani (C) uharibifu (D) kuoza (E) tumia
Solution: E
Reason: One preserves something mainly if he/she thinks that it might be useful in the future. Hence, the predicted answer is correct.
Now, solve this instance: Question: Kwa sababu ya usalama sheria ilipitishwa, sasa magari yote lazima yawe na nini?
Options: A mikanda ya kiti B vigogo C magurudumu manne D madirisha E injini za dizeli
Student: | A | 2 | NIv2 | task1144_xcsr_sw_commonsense_mc_classification | fs_opt | [
0.03651554137468338,
0.610652506351471,
-0.0577080175280571,
-0.2923179268836975,
-0.6312626004219055,
-0.9689129590988159,
0.8248193264007568,
0.9639564752578735,
0.45863181352615356,
-0.3770556151866913,
-0.1285899579524994,
0.35175758600234985,
-0.12299777567386627,
-0.5897940993309021,... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of your answer, that is, you should sum the first members of each inner list together and put it as the first element of the list, then sum the second members of each inner list together and put it as the second element of your list, etc. The output should be a list of numbers with the same length as the longest inner list.
[[-94, -69, 2, -49, 44, 95], [-22, 80, -59, 59, -2, 86, -41], [23, -76, -21, 17, 50, 50, -71], [31, 57], [-2, 83, -62, 92], [52, -33, -48, 25, -68], [-19, 100, -18, 35, -86, -72, -88, -89, -74]]
Output: | [-31, 142, -206, 179, -106, 108, -105, -89, -74] | 1 | NIv2 | task122_conala_list_index_addition | zs_opt | [
0.11383941769599915,
-0.32747262716293335,
-0.4592097997665405,
-0.23633597791194916,
0.3125964403152466,
-0.19233785569667816,
0.7019697427749634,
0.5827882885932922,
-0.36140012741088867,
0.029973069205880165,
-0.5603234767913818,
-0.06476317346096039,
-0.21212686598300934,
-0.1921865344... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Output: Italy have defeated Portugal 31-5 in Pool C of the 2007 Rugby World Cup at Parc des Princes, Paris, France.
The Japanese sentence is correctly converted into English because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is and converted sentence is sentence case.
New input case for you: 「そして今、アメリカ大統領がこれらの方針を宣言し、奨励する時に、イスラエル首相が寄り添って正反対の事をする」
Output: | "And now, at the time when an American president declares these principles and promotes them, an Israeli PM comes along and does the exact opposite." | 1 | NIv2 | task436_alt_ja_en_translation | fs_opt | [
0.22822438180446625,
0.6454000473022461,
-0.12893298268318176,
0.4778660535812378,
-0.0012284028343856335,
-0.20920497179031372,
-0.06987737119197845,
0.37116020917892456,
0.4249574542045593,
-0.5535285472869873,
-0.34484049677848816,
0.27162039279937744,
0.03108009696006775,
-0.3352841734... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you'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.
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.
Solution: Development and evaluation of an efficient 3 -noncoding region-based SARS coronavirus (SARS-CoV) RT-PCR assay for detection of SARS-CoV
Why? 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: Purpose: The study aimed to examine query strategies that would provide an exhaustive search method to retrieve the most referenced articles within specific categories of critical care. Material and Methods: A comprehensive list of the most cited critical care medicine articles was generated by searching the Science Citation Index Expanded data set using general critical care terms keywords such as "critical care," critical care journal titles, and keywords for subsubjects of critical care. Results: The final database included 1187 articles published between 1905 and 2006. The most cited article was referenced 4909 times. The most productive search term was intensive care. However, this term only retrieved 25% of the top 100 articles. Furthermore, 662 of the top 1000 articles could not be found using any of the basic critical care search terms. Sepsis, acute lung injury, and mechanical ventilation were the most common areas of focus for the articles retrieved. Conclusion: Retrieving frequently cited, influential articles in critical care requires using multiple search terms and manuscript sources. Periodic compilations of most cited articles may be useful for critical care practitioners and researches to keep abreast of important information.
Solution: | A View of the Literature The most influential articles in critical care medicine ☆ | 0 | NIv2 | task1161_coda19_title_generation | fs_opt | [
0.24738074839115143,
0.35050785541534424,
-0.3706873953342438,
0.38559630513191223,
0.9352794885635376,
0.12172576785087585,
0.32525715231895447,
0.86161208152771,
-0.5016528367996216,
0.8883763551712036,
0.019939687103033066,
0.9109163880348206,
-0.18657343089580536,
0.6161248683929443,
... |
Q: In this task, you have to generate the title of the recipe given its required ingredients and directions.
ingredients: '2 lb. ground beef', '1 1/2 C. ketchup', '1/2 C. chopped onion', '1/2 C. celery', '1/2 C. brown sugar', '1/2 C. vinegar', '2 Tbsp. mustard',<sep> directions: 'Brown beef in skillet, stirring often. Add all other ingredients. Stir well. Bake at 350 degrees 30-40 minutes.'
A: | Sloppy Joes | 7 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.2632548213005066,
0.6382778882980347,
-0.21511316299438477,
0.35180389881134033,
-0.022342229261994362,
0.01925763674080372,
0.3093206286430359,
-0.11758512258529663,
0.007439223118126392,
-0.07454617321491241,
-0.2630540728569031,
0.10006660223007202,
-0.3744870126247406,
0.592560410499... |
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
[EX Q]: I was expecting a very high quality coffee but this wasn't quite it. It's a lot stronger than I was expecting due to the serving size printed on the label. It was pretty strong even for me and I like strong coffee. However, I adjusted the amount of coffee and after a couple of tries I got a nice pot. It has good, but not great flavor. Definitely better than Folgers and the like but not top tier quality. I recommend this to anyone looking for something a step up from Folgers.
[EX A]: Not bad, but not as good as I thought
[EX Q]: Is that these are 60 calories per serving, however, in all honesty, I didn't make it through a full serving. I was excited about these, they looked like a "grown up graham cracker". First problem was the smell. They smelled like melted plastic, and something else I'd hesitate to even guess what it is, but it's bad. I bravely pulled out one small crisp, hoping that maybe it was the packaging that had the ... aroma. It was not. The crisp itself smells horrific. I figured there was no way it could taste as bad as it smelled. Second problem is that I was very, very wrong about that. They have a funky, chemical taste that just defies description. The aftertaste is sort of like a skunky/chewing on a plastic pen cap that went thru the wash/wet cardboard kinda taste. Seriously, it was awful. I tasted these about 45 minutes ago, and after drinking an entire bottle of water AND brushing my teeth, I CAN STILL TASTE IT. I'm glad these were an add-on, but they are still absolutely terrible. Their only redeeming quality is that they are cute. Not one single member of my family will actually eat them though, so this was definitely a waste of 3$. Had I known they would be this awful, I'd have just got a second bag of <a href="http://www.amazon.com/gp/product/B007POA158">Hi I'm Skinny Sticks, Sweet Onion Multigrain, 7-Ounce</a>. Only 30 cent more than these, but MILES better in taste.
[EX A]: About the only good thing..
[EX Q]: It's just sugar in the raw, it's flavor profile is much better then white sugar and it's suppose to be better for you or something. I just wish the bags were resealable.
[EX A]: | It's sugar..
| 6 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.0018644179217517376,
0.19242729246616364,
-0.05121222510933876,
-0.6374543905258179,
0.15553349256515503,
-0.5253051519393921,
0.2837810516357422,
0.7718992233276367,
-0.03839829936623573,
0.07506971806287766,
0.21839725971221924,
0.25234702229499817,
-0.4383277893066406,
-0.25041508674... |
Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, Geopolitical and Personal depending on the topic.
Q: এই যদি ভারতের কোন নিউজ থেকে সংগ্রহ করে তাইলে বুয়া বিপরিত কিছু ঘটছে
A: | Geopolitical | 9 | NIv2 | task1494_bengali_hate_speech_classification | zs_opt | [
-0.8935675621032715,
0.36150115728378296,
0.16986244916915894,
0.4903692305088043,
-0.5548416972160339,
-0.6685190796852112,
0.6666651964187622,
0.10272761434316635,
-0.23844775557518005,
-0.17655356228351593,
-0.5768656730651855,
0.4586388170719147,
-0.1340979039669037,
-0.312747657299041... |
TASK DEFINITION: In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
PROBLEM: Problem: the sector of a circle has radius of 21 cm and central angle 180 o . find its perimeter ?
Options: a ) 91.5 , b ) 92 , c ) 108 , d ) 94 , e ) 95
SOLUTION: c
PROBLEM: Problem: three pipes of same capacity can fill a tank in 8 hours . if there are only two pipes of same capacity , the tank can be filled in .
Options: a ) 11 hours , b ) 12 hours , c ) 15 hours , d ) 16 hours , e ) 17 hours
SOLUTION: b
PROBLEM: Problem: a train 180 m long is running with a speed of 55 km / hr . in what time will it pass a man who is running at 7 km / hr in the direction opposite to that in which the train is going ?
Options: a ) 5.5 , b ) 10.45 , c ) 7 , d ) 8 , e ) 9.5
SOLUTION: | b
| 8 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.11089006066322327,
0.28035151958465576,
-0.13708803057670593,
-0.3269193768501282,
-0.41044852137565613,
-0.13584887981414795,
-0.34290361404418945,
0.13714531064033508,
-0.3426365852355957,
-0.07596185803413391,
-0.9168521165847778,
0.17727188766002655,
0.17373979091644287,
-0.278489291... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Let me give you an example: पहले दो को अविश्वसनीय मानकर बाकी पांच मुखबिरों के आधार पर मुकदमा चलाया गया|
The answer to this example can be: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
Here is why: Hindi sentence is properly converted into English sentence because the input also says that the first two were judged to be untrustworthy, thus the prosecution relied heavily on the testimony of the remaining five approvers. Also, the translated sentence is in a sentence case.
OK. solve this:
कतिपय ऐसे शब्दों या वाक़्यों , जिन्हें पीठासीन अधिकारी द्वारा असंसदीय घोषित कर वाद विवाद में से निकाल दिया जाता है तथा उसके आदेशों के अंतर्गत अभिलिखित न किये गये भागों को कार्यवाही के आधिकारिक अभिलेख में सम्मिलित नहीं किया जाता ।
Answer: | Certain words or phrases held unparliamentary and expunged by the Presiding Officer or portions ' not recorded ' under his orders are not included in the official record of the proceed ings . | 8 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
0.18837083876132965,
0.1544855386018753,
0.3410932123661041,
0.24868066608905792,
0.5556764006614685,
-0.2050057351589203,
-0.5005557537078857,
0.6764424443244934,
0.3985240161418915,
-0.14749348163604736,
-0.6592655181884766,
-0.5971764326095581,
-0.6393685340881348,
0.12748205661773682,
... |
Definition: In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
Input: [193, 172, 183]
Output: | [193, 183] | 2 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.29712384939193726,
0.44090068340301514,
-0.5036368370056152,
-0.5432467460632324,
0.45072102546691895,
-0.2701396942138672,
0.5641276836395264,
0.3553552031517029,
-0.1242610439658165,
0.5438793301582336,
-0.8188809156417847,
0.23318472504615784,
-0.18627360463142395,
-0.225685968995094... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
Problem:でも私たちの研究は教育やリハビリに対する影響でビデオゲームで長時間遊ぶ方々の能力についてはあまり興味はないのです
Solution: | Chodzi o edukację i rehabilitację, więc nie interesuje nas to, jak spisują się gracze, którzy z własnej woli godzinami grają w gry wideo. | 8 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
-0.04609111696481705,
0.29062899947166443,
-0.8156927227973938,
-0.3559718728065491,
-0.771670937538147,
-0.744544506072998,
0.5893079042434692,
0.030763983726501465,
-0.5268272757530212,
-1.0050551891326904,
0.12265429645776749,
-0.12582328915596008,
-0.525202751159668,
-0.334172308444976... |
In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
One example: Twenty-year-old Will Hunting of South Boston is a self-taught, genius-level intellect, though he works as a janitor at the Massachusetts Institute of Technology and spends his free time drinking with his friends, Chuckie (Ben Affleck), Billy (Cole Hauser) and Morgan (Casey Affleck). When Professor Gerald Lambeau (Stellan Skarsgård) posts a difficult mathematics problem as a challenge for his graduate students, Will solves the problem anonymously, stunning both the graduate students and Lambeau himself. As a challenge to the unknown genius, Lambeau posts an even more difficult problem. Lambeau chances upon Will solving the problem but Will flees the scene. That night at a bar, Will meets Skylar (Minnie Driver), a British student about to graduate from Harvard, who plans on attending medical school at Stanford and gives Will her phone number before leaving., Question: How old is Will Hunting in the movie ?
Solution is here: Answer: Twenty years
Explanation: This is a good example which results in a factoid answer.
Now, solve this: The film centers on three men, Red Pollard, Charles S. Howard, and Tom Smith who come together as, respectively, the principle jockey, owner, and trainer of championship horse, Seabiscuit. The story follows the redemption of the three men as they rise from troubled times to achieve fame and success through their association with the horse. Red Pollard was the child of a wealthy family which was ruined by the Great Depression. In need of money, the family leaves Red with a horse groom. Eventually becoming a jockey, Red makes extra money through illegal boxing matches, which leave him almost blind in one eye. Charles Howard is shown as a clerk in a bicycle shop when he gets asked by a passing motorist to repair his automobile, a technology which has recently been introduced. Some years later, Howard is the largest car dealer in California and one of the Bay Area's richest men. However, his son is killed in an automobile accident while driving the family car. When Howard is unable to come out of his depression, his wife leaves him. On a trip to Mexico in order to obtain a divorce and to drown his sorrows, he meets Marcela whom he marries.Howard then runs into Tom Smith, a horse trainer who has been homeless. Seeing Smith tame an aggressive horse, Howard hires him to take care of his newly acquired stable of horses. Later, Smith tries to get a jockey to ride Seabiscuit, but the jockey is frightened off when Seabiscuit rips off a bit of his shirt. Smith then turns to see Red Pollard fighting with other stable boys and sees in them a similar temperament as the horse. Thus, he decides to make him the jockey. The film then follows the three men as they begin to race Seabiscuit. It especially focuses on their efforts to provoke a race with War Admiral, the top race horse in the country. A match race is then decided on the 1st of November at Pimlico racetrack. While they wait for the date to come around and train Seabiscuit, Pollard is asked to exercise a race horse for an old friend. While they are on the track, two men suddenly start a tractor, spooking the horse. The horse rears, and Pollard falls off and is dragged along until he crashes into a wall, fracturing his leg. When the doctor reports that he will be unable to jockey again, Red suggests that Howard get George Woolf to jockey. Red then teaches George about Seabiscuit's handling and mannerisms. Seabiscuit beats War Admiral easily because of a secret that Pollard told George Woolf, which was to hold him head to head with the other horse so he gets "a good look at the Admiral". Afterwards, Seabiscuit is entered in a race at the Santa Anita Race track under George Woolf. While he is racing he gets injured and has to stop. Red Pollard helps him to recover and get fit enough to race again. The last race is again at the Santa Anita track, and Red Pollard races him this time after putting a special self-made brace on his own leg to keep it stable. George Woolf is also racing, albeit on a different horse. When Seabiscuit drops to last place and trails the pack of horses, George Woolf trails back to be with Pollard. After a short conversation, Seabiscuit gives Pollard the signal that he is ready to go. Seabiscuit then surges towards the pack of horses and Pollard steers him through them to win the race. The movie ends with Pollard narrating "You know everyone thinks that we found this broken down horse and fixed him, but we didn't, he fixed us, everyone of us, and I guess in a way we kinda fixed each other too.", Question: Who was the child of a wealthy family that was ruined by the great depression?
Solution: | Answer: Red Pollard | 6 | NIv2 | task194_duorc_answer_generation | fs_opt | [
0.16511616110801697,
0.317368745803833,
-0.43099215626716614,
-0.35054177045822144,
-0.055229365825653076,
0.3789442777633667,
0.8645079731941223,
1.0495502948760986,
0.014687448740005493,
-0.23387029767036438,
-0.5610542893409729,
0.15423902869224548,
-0.24530042707920074,
-0.217443525791... |
Teacher: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things, shaking them, etc. To make sure that the generated process does not lead to the asked outcome, you can introduce objects or events unrelated to the context of the question e.g. 'cleaning the keyboard by making an elephant sit on them'; or you can create contradictory statements e.g. 'drying wet keyboards with running water'. In your responses, avoid typos and misspellings.
Teacher: Now, understand the problem? If you are still confused, see the following example:
How do you remove keys from a computer keyboard for cleaning?
Solution: Place the tip of your finger under the corner of a key and gently twist to pop it off.
Reason: The answer is related to the question, but certainly doesn't lead to the asked outcome( A sharp narrow object should be used instead of finger.), so this is a correct answer.
Now, solve this instance: Prevent onion skin mess in kitchen.
Student: | Keep onions in hanging sock. | 2 | NIv2 | task081_piqa_wrong_answer_generation | fs_opt | [
0.6325008869171143,
0.3410044014453888,
-0.9472731947898865,
-0.01108269952237606,
-0.022831767797470093,
-0.8613293170928955,
0.5781387090682983,
0.9688445329666138,
-0.5426102876663208,
0.15367376804351807,
0.4242206811904907,
0.29714810848236084,
-0.3636763393878937,
-0.2276679575443267... |
instruction:
You are given a statement written in Bengali. 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 .
question:
Statement: ইসলামিক সিরিয়ার রাজধানী হিসেবে দামেস্ককে নির্বাচিত করা হয়। শহর অধিকার করা মুসলিম সেনাপতিদের অন্যতম ইয়াজিদ বিন আবু সুফিয়ান এর প্রথম মুসলিম গভর্নর ছিলেন। ৬৪০ সালে তিনি প্লেগে আক্রান্ত হয়ে মৃত্যুবরণ করেন, তার ভাই প্রথম মুয়াবিয়া তার উত্তরসুরি হন। ৬৬১ সালে সর্বশেষ রাশিদুন খলিফা <MASK> মৃত্যুর পর মুয়াবিয়া খলিফা হন ও উমাইয়া রাজবংশের সূচনা করেন।
Option A: উমরকে
Option B: হেরাক্লিয়াস
Option C: আলীর
Option D: মুহাম্মদ
answer:
আলীর
question:
Statement: এই কমিশন সুপারিশ করে যে, জেনারেল ইয়াহিয়া খান, পাকিস্তান সেনাবাহিনীর কমান্ডার-ইন-চীফ এবং তৎকালীন প্রধান সামরিক আইন প্রশাসক, জেনারেল আব্দুল হামিদ খান, লেফটেন্যান্ট জেনারেল এস.জি.এম.এম. পীরজাদা, লেফটেন্যান্ট জেনারেল গুল হাসান, মেজর জেনারেল উমর এবং মেজর জেনারেল মিঠা, আর্মি এসএস গ্রুপের কমান্ডারের প্রকাশ্যে বিচার হওয়া উচিত অপরাধমূলক ষড়যন্ত্রের মাধ্যমে অন্যায়ভাবে আইয়ুব খানের কাছ থেকে ক্ষমতা দখলের জন্য। আরও পাঁচ জন লেফটেন্যান্ট জেনারেল এবং ব্রিগেডিয়ার জেনারেলের বিচারের সুপারিশ করা হয় কর্তব্যে ইচ্ছাকৃত অবহেলার জন্য। এদের মধ্যে ছিলেন লেফটেন্যান্ট জেনারেল <MASK>, মোহাম্মাদ জামসেদ, এম. রহিম খান, ইরশাদ আহমদ খান, বি. এম. মুস্তফা এবং ব্রিগেডিয়ার জেনারেল জি.এম. বাকুইর সিদ্দিকি, মোহাম্মদ হায়াত এবং মোহাম্মদ আসলাম নিয়াজী।
Option A: জিয়া-উল-হককে
Option B: নিয়াজী
Option C: জিয়া-উল-হক
Option D: জিয়া-উল-হকও
answer:
নিয়াজী
question:
Statement: <MASK> সায়দাবাদ থেকে অভিলাস পরিবহন বাস ছাড়ে গোপালদীর উদ্দেশ্যে। ভাড়া ৬৫/- টাকা। গুলিস্তান থেকে দোয়েল বা স্বদেশ পরিবহনে মদনপুর ৪৫ টাকায় নেমে আড়াইহাজার বা গোপালদীতে সিএনজিযোগে আসা যাবে। কলাবাগান থেকে মেঘলা পরিবহন বাস ছাড়ে ভুলতা বা গাউছিয়া। ভাড়া ৬৫/- টাকা। গাউছিয়া নেমে একটু সামনে যেয়ে লোকাল সিএনজিতে আড়াইহাজার বাজার ভাড়া ৩০/-টাকা। আড়াইহাজার থেকে সিএনজিতে গোপালদী, ভাড়া ২৫/-টাকা। কুড়িল ফ্লাইওভারে ৩০০ফিট ক্রসিং থেকে লোকাল টেক্সিতে গাউছিয়া। ভাড়া ৮০/- টাকা। গাউছিয়া নেমে একটু সামনে যেয়ে লোকাল সিএনজিতে আড়াইহাজার বাজার ভাড়া ৩০/-টাকা। আড়াইহাজার থেকে সিএনজিতে গোপালদী, ভাড়া ২৫/-টাকা।
Option A: সুইজারল্যান্ড
Option B: স্বাধীনতা
Option C: বাংলাদেশের
Option D: ঢাকা
answer:
| ঢাকা
| 9 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | fs_opt | [
0.0824703574180603,
0.5855401754379272,
-0.1834886521100998,
-0.24141861498355865,
0.07100853323936462,
-0.1377805769443512,
0.647162139415741,
0.8297393321990967,
0.39689087867736816,
0.9041967391967773,
-0.26977822184562683,
0.7308193445205688,
-1.1598784923553467,
-0.3000023365020752,
... |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while labelling True or False.
Example input: Passage: Madonna released the Material Girl clothing line, which she designed with her daughter, Lourdes. The 1980s inspired clothing line, borrowed from Madonna's punk-girl style when she rose to fame in the 1980s, was released under the Macy's label. Madonna also opened a series of fitness centers around the world named Hard Candy Fitness. In November 2011, Madonna and MG Icon announced the release of a second fashion brand called Truth or Dare by Madonna to include footwear, underclothing, and accessories. She also directed her second feature film, W.E., a biographic about the affair between King Edward VIII and Wallis Simpson; it was co-written with Alek Keshishian. Critical and commercial response to the film was negative. Madonna contributed the ballad "Masterpiece" for the film's soundtrack, which won her a Golden Globe Award for Best Original Song. Question: Material Girl clothing line is released under which brand?
Example output: True
Example explanation: The answer to given question is 'Macy's', which can be determined from the second sentence of the paragraph "The 1980s inspired clothing line, borrowed from Madonna's punk-girl style when she rose to fame in the 1980s, was released under the Macy's label". Since this question is answerable, the output is True.
Q: Passage: To classify the computation time (or similar resources, such as space consumption), one is interested in proving upper and lower bounds on the minimum amount of time required by the most efficient algorithm solving a given problem. The complexity of an algorithm is usually taken to be its worst-case complexity, unless specified otherwise. Analyzing a particular algorithm falls under the field of analysis of algorithms. To show an upper bound T(n) on the time complexity of a problem, one needs to show only that there is a particular algorithm with running time at most T(n). However, proving lower bounds is much more difficult, since lower bounds make a statement about all possible algorithms that solve a given problem. The phrase "all possible algorithms" includes not just the algorithms known today, but any algorithm that might be discovered in the future. To show a lower bound of T(n) for a problem requires showing that no algorithm can have time complexity lower than T(n). Question: A specific algorithm demonstrating T(n) represents what measure of time complexity?
A: | True | 3 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.5158785581588745,
0.07094797492027283,
-0.5618469715118408,
0.1056811511516571,
0.13334135711193085,
-0.2027665078639984,
-0.14051657915115356,
0.7002489566802979,
0.25838127732276917,
0.3918221592903137,
-0.7365944385528564,
0.5931622982025146,
-0.5199648141860962,
0.09856433421373367,
... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
במהלך הסקי בטיול הראשון, היו לי שתי סירטוני וידיאו דימיוניים שחזרו שוב ושוב בראשי כאשר הדרך היתה קשה, רק בכדי לשמור על המוטיבציה.
| Esquiando a lo largo de aquel viaje, había dos videoclips imaginarios que se repetían en mi cerebro una y otra vez, para mantener mi nivel de motivación, cuando las cosas se ponían feas. | 5 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-1.1795570850372314,
0.5525113344192505,
-0.13719359040260315,
-0.12300075590610504,
-0.39139413833618164,
0.22453129291534424,
0.09342779219150543,
0.5901389718055725,
0.5917065143585205,
-0.8726382255554199,
0.050490498542785645,
0.06625811755657196,
-0.6013408899307251,
-0.2326798588037... |
Detailed Instructions: The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
Q: PersonX puts the ___ to death
A: | powerful | 9 | NIv2 | task1595_event2mind_text_generation_1 | zs_opt | [
0.16047795116901398,
0.739986777305603,
0.1113780289888382,
-0.6268131732940674,
-0.889293909072876,
-1.0192334651947021,
1.4406588077545166,
0.7948653697967529,
0.1787470281124115,
-0.1737581491470337,
0.06207926943898201,
-0.062876395881176,
-0.1998428851366043,
0.8676844239234924,
0.8... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Problem:Se callar é máis serio cas caricaturas editoriais.
Solution: | This is more serious than maybe editorial cartooning. | 8 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.7485500574111938,
0.7577528953552246,
0.5320761799812317,
-0.7477871179580688,
0.019198093563318253,
0.15020069479942322,
0.04844275489449501,
0.8062620162963867,
-0.3319183588027954,
-0.341765433549881,
0.02024456113576889,
-0.2506040632724762,
-0.534802258014679,
0.651488184928894,
... |
Teacher:In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Teacher: Now, understand the problem? Solve this instance: Sentence 1: A gray and white dog jumping over standing water in the sand. Sentence 2: The cat is grooming her kittens
Student: | The Schnauzer is jumping over a puddle at the lake | 6 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | zs_opt | [
-1.0336488485336304,
0.8037835955619812,
0.1525133103132248,
-0.8489034175872803,
0.07224966585636139,
-0.6078217029571533,
-0.7426353693008423,
1.168562889099121,
0.09973502159118652,
-0.5729990005493164,
-0.2930724322795868,
-0.31321364641189575,
-0.42252129316329956,
-0.4183518886566162... |
instruction:
Given a sentence in Arabic, generate a new Arabic 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.
question:
أنت تَجْعلُ a جولة هاتفِ لأنك تَجيءُ للكَلام مع شخص ما.
answer:
يمكنك إجراء مكالمة هاتفية لأنك بحاجة إلى أن تأخذ إلى شخص ما.
question:
« بعض الأزهار » أي الأزهار « تجري بين الأزهار » أي الأزهار « في كتاب » هو اللوح المحفوظ في اللوح المحفوظ.
answer:
« ويمكن أن توضع بين صفحات كتاب » هو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ ، وهو اللوح المحفوظ.
question:
« والورق مصنوع من فحم الخشب ».
answer:
| « إن » ما « هي » أي الورق « إلا من نطفة ».
| 9 | NIv2 | task414_mickey_ar_sentence_perturbation_generation | fs_opt | [
0.060213103890419006,
0.3172301650047302,
-0.19409450888633728,
-0.9424532651901245,
0.1506943702697754,
-0.04689702019095421,
0.7087387442588806,
0.8138107061386108,
0.4325195848941803,
-0.1568523645401001,
-0.5650848746299744,
0.30034559965133667,
-0.8225033283233643,
0.36503177881240845... |
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.
Article: LONDON ( Reuters)-- Ecotourism is causing a lot of damage to wildlife and may be endangering the survival of the very animals people are flocking to see, according to researchers. Biologists and conservationists are worried because polar bears, dolphins, penguins and other creatures are getting stressed and losing weight and some are dying. "Evidence is growing that many animals do not react well to tourists in their backyard," New Scientist magazine said. The immediate effects researchers have noticed are changes in behavior, heart rates, or stress hormone levels but they fear it could get much worse and over the long term "could endanger the survival of the very wildlife they want to see". Although money produced through ecotourism, which has been growing at about 10--30 percent a year, has major benefits for poor countries and people living in rural areas, the Swiss-based World Conservation Union (IUCN) and some governments fear not all projects are audited and based on environmentally friendly policies, according to the magazine. "The transmission of disease to wildlife, or small changes to wildlife health through disturbance of daily life or increased stress levels, while not obvious to the casual observer, may translate to lower survival and breeding," said Philip Seddon, of the University of Otago in Dunedin, New Zealand. Scientists have noticed that bottleneck dolphins along the northeastern coast of New Zealand become nervously excited when tourist boats arrive. Similar changes in behavior have been observed in polar bears and yellow-eyed penguins in areas visited by ecotourists are producing smaller babies. Conservationists are now calling for more research into the effect of ecotourism on animals and say the industry must be developed carefully. They also want studies done before new ecotourism projects are started. "The animals' welfare should be very important because without them there will be no ecotourism," said Rochelle Constantine of the University of Auckland in New Zealand.
Question: What's the text mainly about?
Options: (A) Many animals are dying because of lack of money. (B) There will be no ecotourism without animals. (C) Ecotourism could endanger the survival of the wildlife people want to see. (D) More research should be done on ecotourism.
Asnwer: D | No | 0 | NIv2 | task310_race_classification | zs_opt | [
0.30297136306762695,
0.030397329479455948,
-0.7827300429344177,
0.20260387659072876,
0.03573555126786232,
-0.5082809329032898,
0.5068255066871643,
0.8571934700012207,
-0.8677726984024048,
-0.22327744960784912,
0.02741912007331848,
0.6611558198928833,
-0.7561935186386108,
-0.013276631012558... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
--------
Question: And then the model makes predictions down the road.
Answer: و سپس مدل کامپیوتری پیش بینی هاشو در ادامه مسیر انجام میده ،
Question: Ladies and gentlemen, I'd like to end before time.
Answer: خانم ها و آقایان ، من می خواهم قبل از موعد مقرر صحبتم را به پایان برسانم.
Question: I have asked her to translate for me.
Answer: | ازش خواستم که حرفای منو ترجمه کنه.
| 7 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-0.8352566957473755,
0.021555475890636444,
0.0005032458575442433,
-0.030852211639285088,
-0.3036656677722931,
0.12367504835128784,
0.41580674052238464,
0.4853553771972656,
0.4958549737930298,
0.2593497931957245,
-0.6140967607498169,
0.1465773731470108,
0.6996269226074219,
0.227807015180587... |
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.
One example: A herd of sheep standing together grazing in a pasture.
Solution is here: English
Explanation: Input sentence is in English language.
Now, solve this: આ આયર્ન મેઇડનના ખાનગી વિમાન છે જે તેઓ તેમના અંતિમ ફ્રન્ટીયર વર્લ્ડ ટૂર માટે ઉપયોગમાં લીધા છે.
Solution: | Gujarati | 6 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | fs_opt | [
-0.5502867102622986,
0.16989262402057648,
0.5197815895080566,
-0.2509738802909851,
-0.15925735235214233,
-0.6760877966880798,
-0.2187003493309021,
-0.2061864137649536,
-0.1836988925933838,
-0.9119235277175903,
-0.7263579368591309,
0.24255982041358948,
-0.19215013086795807,
-0.1474040299654... |
In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label the instances as "ironic" or "not" based on your judgment. Note that URLs in the text have been replaced with [Link].
[EX Q]: @aleciamarie21 @DonnieWahlberg is it bad that after my "happy Preds won" :party_popper: dance my first thought was Donnie?! :grinning_face_with_smiling_eyes::speak-no-evil_monkey:
[EX A]: not
[EX Q]: @redsteeze wow.. she really touched them with that tweet.
[EX A]: ironic
[EX Q]: @MrHepzn @janr572 The kindness of strangers!
[EX A]: | not
| 6 | NIv2 | task386_semeval_2018_task3_irony_detection | fs_opt | [
-1.0759170055389404,
0.5028743743896484,
0.5804218053817749,
0.09883509576320648,
-0.5095695853233337,
0.15488752722740173,
0.6105600595474243,
-0.1510249376296997,
0.843024492263794,
-0.026723729446530342,
-0.8541979789733887,
0.027671584859490395,
-0.4732224941253662,
-0.4688525795936584... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
--------
Question: I don't want any of this.
Answer: لا أريد أي من ذلك
Question: The sad part is, he wasn't always evil.
Answer: اوتعلمون الشئ الحزين أنه لم يكن دائما شرير
Question: Can I ask you something?
Answer: | أيمكنني أن أسألك سؤالاً؟
| 7 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
-0.220620796084404,
0.6716790199279785,
0.053597815334796906,
-0.5913383960723877,
-0.20125922560691833,
-0.26434803009033203,
0.876164436340332,
0.1692763715982437,
-0.031424492597579956,
-0.15488585829734802,
-0.5210320949554443,
0.08069655299186707,
-1.2256689071655273,
0.22026991844177... |
TASK DEFINITION: A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
PROBLEM: Text: Ainsi, pour surmonter la restriction de taille, exFat entré en image.
SOLUTION: French
PROBLEM: Text: 12:17 And David went out to meet them, and he said: “If you have arrived peacefully, so as to be a help to me, may my heart be joined to you; but if to betray me to my adversaries, though I have no iniquity in my hands, may the God of our fathers see and judge.”
SOLUTION: English
PROBLEM: Text: 7 Ang aking mga mata ay nangamumugto dahil sa kapanglawan; tumatanda ako dahil sa aking lahat na kaaway.
SOLUTION: | Tagalog
| 8 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
0.856465220451355,
0.38334423303604126,
0.2731328010559082,
-0.6487646698951721,
-0.002829202450811863,
0.2594761550426483,
0.8250327110290527,
0.273571252822876,
0.7964878082275391,
-0.1276298612356186,
0.03041527234017849,
0.14292702078819275,
-0.7833547592163086,
-0.18084777891635895,
... |
This task is about translating a given Spanish language sentence to English.
Ex Input:
Días de pruebas paraguas de la Unión un mil Príncipe de clase tranquila
Ex Output:
Days for evidence umbrella for the Union one thousand Prince of quiet class
Ex Input:
Pero en cambio, puede cuidar a los jovencitos, y quizás contarle historias como esta.
Ex Output:
And cannot work the fields. But instead, can tend to the youngsters.
Ex Input:
Y la dejas ir
Ex Output:
| And you let her go
| 1 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.7000160217285156,
0.5814604759216309,
-0.09713654220104218,
-0.3708944320678711,
-0.5107117891311646,
-1.639233112335205,
0.30114036798477173,
1.1328434944152832,
0.22409994900226593,
-0.45009350776672363,
-0.6195321083068848,
0.6045578122138977,
-0.16348063945770264,
-0.010842489078640... |
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'Text one' if the first sentence is simpler. Otherwise output 'Text two'.
[EX Q]: Text one: In 2005, Boreanaz began starring opposite Emily Deschanel on the current prime time television series, Bones.
Text two: In 2005, Boreanaz together with Emily Deschanel played a role in tv series Bones.
[EX A]: Text two
[EX Q]: Text one: By 8.30 pm he had got the attention of the watchman James Cargill.
Text two: By 8.30 pm he had got the attention of the watchman James Cargill.
[EX A]: Text one
[EX Q]: Text one: Indications Approved indications for codeine include: Cough, though its efficacy in low dose over the counter formulations has been disputed.
Text two: Approved symptom for codeine is a Cough, even though its efficacy in low dose over the counter formulations has been disputed.
[EX A]: | Text two
| 6 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
0.1121332198381424,
0.4896484315395355,
-0.4716936945915222,
0.1138828843832016,
0.46268895268440247,
-0.4048002362251282,
0.46495330333709717,
1.2588214874267578,
-0.17667484283447266,
0.0011220809537917376,
-0.184644415974617,
0.26279416680336,
-0.8086473941802979,
-0.0001252801157534122... |
Definition: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
Input: I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_RIGHT I_TURN_RIGHT I_WALK I_TURN_RIGHT I_TURN_RIGHT I_WALK I_TURN_RIGHT I_TURN_RIGHT I_WALK
Output: | look opposite left and walk opposite right thrice | 2 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.4645378887653351,
0.4943862855434418,
-0.6084872484207153,
0.09901360422372818,
0.015773320570588112,
0.16474127769470215,
0.2990022897720337,
0.6209652423858643,
0.11624390631914139,
-0.12044500559568405,
-0.6107178926467896,
-0.41583842039108276,
-0.7414360046386719,
-0.036577913910150... |
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. What may (or may not) happen before (or after, or during) an event? C. What may (or may not) be a plausible fact about someone (or something)? D. What may (or may not) happen if an event happens (or did not happen)? You can also create other types of questions. DO NOT make your question answerable without looking at the context, or question of which the correct answer can be directly extracted from the context. DO NOT ask a question that requires very specialized knowledge that is not common sense. DO NOT ask too simple or too short questions. Your question must be related to the context and answerable with common sense. Try to add more variations and complexity to the questions.
Input: Consider Input: Context: It was pretty smooth and we took it well . We stopped at the cheese factory and sampled all of their [ cheddar ] cheeses . We bought a little 4-year old and a lot of 1-year old unflavored cheddar .
Output: What is the narrator eating ?
Input: Consider Input: Context: The article is a miserable hack - job . Todd Purdum does n't even pretend to prove anything , but uses the anti - Clinton mystique to let his readers make broad leaps from innocuous trips in planes with rich guys to ... oh , you know , do n't you ? Clinton was right - anyone who would write such a piece of crap - to say nothing of the editors who published it - is a " scumbag " .
Output: Why does the writer believe that the author of the article is a hack job ?
Input: Consider Input: Context: Now she sits by herself in a room in the desert with an oxygen tank next to her and dreams of those same times as the cancer drains her body and spirit . It hurts me terribly to see this happening . It was nice spending time with my sister and my mom on this trip .
| Output: Where does this situation likely take place at ?
| 2 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.8177911043167114,
0.4046868085861206,
-0.5458266735076904,
0.4479213058948517,
0.11365955322980881,
-0.13968729972839355,
0.06047225743532181,
0.7985022068023682,
0.21433821320533752,
0.1052905023097992,
-0.3900274634361267,
-0.18674534559249878,
-0.5259450674057007,
0.31287074089050293,... |
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix' instead of 'one thousand seven hundred six'.
Q: twoseveneightzerosevennineonesevennineseventhreenine
A: | 278079179739 | 4 | NIv2 | task1443_string_to_number | zs_opt | [
-0.9218939542770386,
1.4217605590820312,
-0.3558228313922882,
-1.0892313718795776,
-0.48023927211761475,
-0.4367857873439789,
0.7724640369415283,
0.23059657216072083,
0.06254582852125168,
-0.3033139109611511,
-0.32171431183815,
0.7995893359184265,
-1.0133144855499268,
-0.08850336074829102,... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Ex Input:
['5607', 'O', '9475', '793', '2793', '2957', 'T', 'l', '8137', 'b', 'c']
Ex Output:
5607, 9475, 793, 2793, 2957, 8137
Ex Input:
['E', 'q', 't', 's', '3217', '9865', 'h', 'B', '5231', 'V', 'C', '593']
Ex Output:
3217, 9865, 5231, 593
Ex Input:
['i', 'e', '3705', '2349', '439', 'Y', '4559', 'z', '2315', 'P', 'H', '3805', 'm', 'm', 'A', 's']
Ex Output:
| 3705, 2349, 439, 4559, 2315, 3805
| 1 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
-0.2907273769378662,
0.49447599053382874,
-0.8094595670700073,
-0.08513720333576202,
-0.14412051439285278,
-0.29428815841674805,
-0.03520764037966728,
-0.19845202565193176,
-0.17148885130882263,
0.5101625919342041,
-0.909004807472229,
-0.1516384780406952,
0.4636259973049164,
0.186073318123... |
Detailed Instructions: In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: English: According to Title VII of the Civil Rights Act of 1964, employers must "reasonably accommodate" their employees' religious beliefs unless this creates "undue hardship".
Hindi: 1964 के नागरिक अधिकार अधिनियम के शीर्षक VII के अनुसार, नियोक्ताओं को अपने कर्मचारियों के धार्मिक विश्वासों को तब तक "उचित रूप से समायोजित" करना चाहिए जब तक कि यह "अनुचित कठिनाई" पैदा न करे।
A: | Yes | 9 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
0.034456610679626465,
0.47691428661346436,
0.7654690146446228,
0.28250572085380554,
0.17273254692554474,
-1.2511838674545288,
0.19135457277297974,
0.45992469787597656,
0.3359069228172302,
-0.38016945123672485,
0.3095244765281677,
-0.4585206210613251,
-0.010626863688230515,
0.08060085773468... |
Instructions: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Input: Question: What is the area of the land Greaves owned in Sussex? Passage:Charles I is supposed to have created him a baronet 4 May 1645. Of this creation, the first of a physician to that rank, no record exists, but the accurate Le Neve did not doubt the fact, and explained the absence of enrolment. He claimed to have been Physician-General to the army of Charles I. With his friend Walter Charleton, Greaves became travelling physician to Charles II, but settled in London in 1653, and was admitted a fellow of the College of Physicians 18 October 1657. He delivered the Harveian oration at the College of Physicians 25 July 1661 (London, 1667, 4to), of which the original manuscript is in the British Museum (Sloane 302). He says that before Harvey the source of the circulation was as unknown as that of the Nile, and compares England to a heart, whence the knowledge of the circulation was driven forth to other lands. He became physician in ordinary to Charles II, and owned the lands of St Leonard's Forest in Sussex, including that part which became Leonardslee. He married Alicia Nevett (1624–1684), widow of Peter Calf (d. 1668). Greaves lived in Covent Garden, died there 11 Nov. 1680, and was buried in the church of St. Paul's, Covent Garden.
Output: | He became physician in ordinary to Charles II, and owned the lands of St Leonard's Forest in Sussex, including that part which became Leonardslee | 3 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
-0.10009869933128357,
0.8236340284347534,
-0.6956104040145874,
-0.35882601141929626,
0.42320337891578674,
-1.399651050567627,
-0.034923262894153595,
0.38434669375419617,
0.5359407663345337,
-0.36451366543769836,
-0.45730698108673096,
0.9548309445381165,
-0.2741440534591675,
0.2676372528076... |
Given a sentence in Dutch, generate a new Dutch 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 input: Je kunt een mandje gebruiken om de prullenbak te vervangen.
Example output: Je kunt een mand gebruiken om afval weg te gooien.
Example explanation: This is a good change in the input, because it is semantically similar to the input as both are talking about using a basket to through trash/garbage and the output sentence follows the commonsense knowledge.
Q: Je bent trots om een haai in zee te vinden.
A: | Je bent geweldig om een haai in zee te vinden. | 3 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | fs_opt | [
-0.5079708099365234,
0.6426632404327393,
-0.2567477822303772,
-0.32507196068763733,
-0.03363906964659691,
-0.8564635515213013,
0.11091779172420502,
0.31735432147979736,
0.37756240367889404,
-0.30832213163375854,
-0.9492291212081909,
0.4822501838207245,
-0.6252635717391968,
0.31321078538894... |
Instructions: 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.
Input: Sentence 1: yeah my truck's broken down and my house just burned down you know but Sentence 2: My family lives in Dallas. Genre: telephone.
Output: | N | 3 | NIv2 | task204_mnli_same_genre_classification | zs_opt | [
-1.358924388885498,
0.22746849060058594,
0.09810946881771088,
-0.26463255286216736,
-0.1795576512813568,
0.6836453676223755,
0.4898960292339325,
0.6135435700416565,
0.23929712176322937,
0.2315521538257599,
-0.5546592473983765,
0.14207810163497925,
-0.7338765859603882,
-0.4120354950428009,
... |
Given the task definition and input, reply with output. You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: જાફરાબાદ (તા. તારાપુર) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના ચરોતર પ્રદેશમાં આવેલા આણંદ જિલ્લામાં આવેલા કુલ ૮ (આઠ) તાલુકાઓ પૈકીના એક એવા તારાપુર તાલુકામાં આવેલું એક ગામ છે જાફરાબાદ ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે ઘઉં, ડાંગર, બાજરી, તમાકુ તેમ જ શાકભાજીના પાકની ખેતી કરવામાં આવે છે. આ ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દૂધની ડેરી જેવી સવલતો પ્રાપ્ય થયેલી છે.
Option A: આંગણવાડી
Option B: લિબિયા
Option C: ભારત
Option D: પંચાયતઘર
| ભારત | 5 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
-0.1913231462240219,
0.9354288578033447,
0.2235696017742157,
-0.043437160551548004,
-0.30458515882492065,
0.3685620129108429,
-0.10496382415294647,
0.8020658493041992,
-0.21174822747707367,
-0.2058788388967514,
-0.7365288138389587,
0.14656886458396912,
-0.9080228805541992,
-0.1942899227142... |
In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person. Mentions of people in the text don't necessarily mean the text is about a person.
--------
Question: Text: James William Bain (June 22 1838 – October 27 1909) was a Canadian politician and merchant. He was elected to the Canadian House of Commons in 1883 as a Member of the historical Conservative Party in the riding of Soulanges after Georges-Raoul-Léotale-Guichart-Humbert Saveuse de Beaujeu was unseated in a by-election. That election was later declared void on January 15 1884 however in a by-election held February 5 1885 he was acclaimed to Soulanges.
Answer: Yes
Question: Text: Seiji Aochi (青地 清二 Aochi Seiji) (June 21 1942 – August 14 2008) was a Japanese ski jumper who competed in the early 1970s. His best finish was a bronze medal in the Individual normal hill event at the 1972 Winter Olympics in Sapporo.Aochi attended Meiji University and then joined Snow Brand Milk Products Company. He joined the company's ski club and later stayed as a mentor to younger skiers.Aochi died of gastric cancer.
Answer: Yes
Question: Text: Le Quotidien is a daily newspaper in Saguenay Quebec. The paper is owned by Power Corporation's Gesca division.
Answer: | No
| 7 | NIv2 | task632_dbpedia_14_classification | fs_opt | [
0.5502034425735474,
-0.24867363274097443,
-0.3405369520187378,
0.45945310592651367,
0.7056465148925781,
-1.5154500007629395,
0.10304971039295197,
0.08023124933242798,
-0.18374384939670563,
0.20777805149555206,
-0.5172743797302246,
0.8847734928131104,
0.07354487478733063,
0.3260316848754883... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or anti-stereotype. You are expected to classify the passage into three classes: stereotype, anti-stereotype, and unrelated.
Example: Passage: The game-winning football player is very aggressive.
Output: Stereotype
It is a stereotype because we have a standardized image that game-winning players are commonly aggresive. There is no mention of the football player's aggresive behavior.
New input case for you: Passage: My friend is a chemist and we hang out sometimes. The grass is green.
Output: | Unrelated | 1 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
0.09624703228473663,
0.31050676107406616,
-0.2556362450122833,
0.1437796652317047,
-0.10840678215026855,
-0.25131070613861084,
-0.15261021256446838,
1.1039576530456543,
0.5229172706604004,
-0.19328957796096802,
-0.7952561378479004,
0.02135457471013069,
-0.19473454356193542,
-0.547983884811... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Problem:Ma pretendiamo troppo dai nostri ospedali.
Solution: | しかし私たちは病院に求めすぎです | 8 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
0.037870679050683975,
0.4311715066432953,
-0.20234210789203644,
0.310661256313324,
-0.5224022269248962,
-0.9125480651855469,
-0.053056009113788605,
0.8053808212280273,
-0.42269206047058105,
-0.6653138399124146,
-0.6938424706459045,
0.30216166377067566,
-0.5359614491462708,
0.70442038774490... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
[EX Q]: Porque isso não é o que nós fazemos.
[EX A]: Porque isto non é o que facemos.
[EX Q]: Temos de encontrar o passo certo para bloquear e criar um medicamento que o faça.
[EX A]: Temos que dar co paso que cómpre bloquear, e logo crear un fármaco que o faga.
[EX Q]: (Aplausos) Em quase sete anos de pesquisa nuclear, comecei com o sonho de fazer uma "" estrela num frasco "", uma estrela na minha garagem e acabei por conhecer o presidente e desenvolver coisas que acho que podem mudar o mundo e penso que outros miúdos também o podem fazer.
[EX A]: | (aplausos) Así que en sete anos de investigación nuclear, comecei co soño de facer unha estrela no meu garaxe, e rematei coñecendo ó presidente e fabricando cousas que penso que poden cambiar o mundo. E penso que outros rapaces tamén poden.
| 6 | NIv2 | task1279_ted_translation_pt_gl | fs_opt | [
-0.07132621109485626,
1.4964449405670166,
0.24738629162311554,
-0.9395793676376343,
-0.3343784809112549,
-1.5963985919952393,
0.34201234579086304,
0.7082431316375732,
0.3873125910758972,
-0.021449949592351913,
-0.26635169982910156,
0.22472430765628815,
-0.477993369102478,
0.077688373625278... |
Detailed Instructions: In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Q: 2671 + 3943 - 5777 + 7680
A: | -3175 | 9 | NIv2 | task085_unnatural_addsub_arithmetic | zs_opt | [
-0.17374590039253235,
0.2198154628276825,
-0.9703971147537231,
0.13281497359275818,
-0.3970334231853485,
0.0433100201189518,
0.6853498220443726,
1.0711628198623657,
0.6085134744644165,
-0.38169434666633606,
-0.30631738901138306,
-0.48536917567253113,
-0.6089824438095093,
0.4120615720748901... |
In this task, you are given music product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Q: Unverwechselbar! . Heimlich sind die 17 HIPPIES auf dem Weg etwas ganz besonderes, ja etwas ganz eigenes zu werden. Fast unbemerkt von der hiesigen Presse, gehen sie auf diesem zweiten Studioalbum den Weg konsequent weiter, der sich auf ihrem ersten Longplayer "Ifni" angekündigt hat. Von Mariachi und Chanson, über Balkan und Singer-Songwriter Pop, bis Raga und Cajun; scheinbar mühelos verweben sie Einflüsse aus aller Welt zu ihrer unverwechselbaren Musik. Ihrem "Berlin Style". Ganz angekommen sind sie noch nicht, und doch sind sie schon jetzt weit über allem anderen hinaus, was sich da sonst noch in diesen Gefilden tummelt. Mit ihrer nächsten CD, so meine Prognose, ist es aus mit Heimlich!
A: | POS | 4 | NIv2 | task481_cls_german_music_classification | zs_opt | [
-0.7935053110122681,
0.29427075386047363,
-0.03673741966485977,
0.22925955057144165,
0.025377346202731133,
-0.5788775682449341,
1.5161775350570679,
-0.01664748042821884,
0.7257946133613586,
0.5828334093093872,
-0.4820427894592285,
0.42212027311325073,
-0.17422670125961304,
-0.7995896935462... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Let me give you an example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
The answer to this example can be: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប្រកួតពានរង្វាន់ពិភពលោកនៃកីឡាបាល់ឱបឆ្នាំ2007ដែលប្រព្រឹត្តនៅប៉ាសឌេសប្រីន ក្រុងប៉ារីស បារាំង។
Here is why: This is a correct and accurate translation from Japanese to Khamer because translated text is just paraphrased of Japanese sentence. Also, it preserves the numbers as it is.
OK. solve this:
ドメインは2回攻撃され、最初は現地時間の午前2時で、次は午前4時だった。
Answer: | តំបន់ត្រួតត្រាត្រូវបានគេវាយប្រហារពីរដង ម្តង នៅម៉ោង2ព្រឹកម៉ោងក្នុងតំបន់ និងមួយទៀតនៅម៉ោង4ព្រឹកម៉ោងក្នុងតំបន់។ | 8 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
-0.08427415788173676,
0.7127385139465332,
-0.6334008574485779,
0.5221397876739502,
-0.2938370108604431,
-0.4489893913269043,
0.5359021425247192,
0.3710501194000244,
-0.02829425036907196,
-0.6131973266601562,
-0.9781017303466797,
0.8872175216674805,
-0.5265029072761536,
0.39487579464912415,... |
Q: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
In the new release of Cinema Paradiso , the tale has turned from sweet to bittersweet , and when the tears come during that final , beautiful scene , they finally feel absolutely earned .
A: | POS | 7 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-0.448082834482193,
0.07351639866828918,
0.4173281192779541,
-0.25442469120025635,
-0.125308558344841,
-0.7839654684066772,
0.6264896392822266,
0.6556587219238281,
0.17514508962631226,
0.3274276554584503,
-0.08095201849937439,
-0.7706160545349121,
0.6023366451263428,
0.3364933729171753,
... |
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: English: The FBI has questioned a Milwaukee resident said to be responsible for the threats, which were posted on the web site last week.
Hindi: इराक के आंतरिक मंत्रालय के अनुसार, शवों पर यातना दिए जाने के संकेत मिले थे।
A: | No | 4 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.1687697470188141,
0.25422871112823486,
0.42592382431030273,
0.30585581064224243,
0.17276202142238617,
-0.9285666942596436,
0.8482158184051514,
0.08470086753368378,
-0.1792515069246292,
0.029213715344667435,
-0.008490076288580894,
0.6829504370689392,
-0.9045146703720093,
0.51091587543487... |
Given the task definition and input, reply with output. This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.
['The Flemish Government has its jurisdiction in Flanders.', 'Flanders jurisdiction is Flemish Government.']
| DISSIMILAR | 5 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
-0.9738839864730835,
0.6148038506507874,
0.6882156133651733,
-0.7116222381591797,
-0.0664268359541893,
0.31753963232040405,
0.8676261901855469,
0.1858322024345398,
0.3794199228286743,
-0.2544623911380768,
-1.407351016998291,
0.38304054737091064,
-0.7126584649085999,
0.6252694129943848,
-... |
Q: You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You need to come up with a question about the story that requires an understanding of the relationship described in the background paragraph. The generated question should not be answerable without both the background and story. Write a question about the story that requires a relationship in the background paragraph to answer. Check whether your question requires both the background paragraph and the story to answer. If your question can be answered by only one of these, try to rewrite your question so that it requires both. Note that "flipping" a word in the question can give rise to a new question where the answer will be different from the original question. Often, "flipping" a word gives rise to flipping the direction of the relationship, for example, from "increase" to "decrease."
Background Paragraph: Candied fruit, also known as crystallized fruit or glacé fruit, has existed since the 14th century. Whole fruit, smaller pieces of fruit, or pieces of peel, are placed in heated sugar syrup, which absorbs the moisture from within the fruit and eventually preserves it. Depending on size and type of fruit, this process of preservation can take from several days to several months.[1] This process allows the fruit to retain its quality for a year.[2]
The continual process of drenching the fruit in syrup causes the fruit to become saturated with sugar, preventing the growth of spoilage microorganisms due to the unfavourable osmotic pressure this creates.[3].
Story: Helen got lots of different fruit as a gift from a friend that owned an orchard. She received apples, pears, apricots, peaches, plums, quince, among others. She decided to candy apples, apricots, and pears, and to keep the others fresh for as long as possible.
A: | Which fruit had a higher sugar content, apricots or quince? | 7 | NIv2 | task060_ropes_question_generation | zs_opt | [
0.16202609241008759,
0.6940999031066895,
0.014283555559813976,
-0.21592119336128235,
-0.4644455313682556,
-0.8589051961898804,
0.32935190200805664,
0.7046546936035156,
-0.47066760063171387,
-0.2396393120288849,
-0.6807743906974792,
-0.08191291987895966,
-0.8125005960464478,
0.4460937380790... |
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: Person1: Hey man, you wanna buy some weed?
Person2: Somewhat?
Person1: Weed! You know ? Pot , Ganja , Mary Jane some chronic !
Person2: Oh , umm , no thanks .
Person1: I also have blow if you prefer to do a few lines .
Person2: No , I am ok , really .
Person1: Come on man ! I even got dope and acid ! Try some !
Person2: Do you really have all of these drugs ? Where do you get them from ?
Person1: I got my connections ! Just tell me what you want and I ’ ll even give you one ounce for free .
Person2: Sounds good ! Let ’ s see , I want .
Person1: Yeah ?
Person2: I want you to put your hands behind your head ! You are under arrest!
Example solution: fear, disgust, fear, happiness, fear, happiness, fear, disgust, fear, happiness, disgust, fear
Example explanation: The conversation happened between the two people contains the emotions fear, disgust, and happiness. Therefore the labels are in the order.
Problem: Person1: I love Chinese food .
Person2: What's your favorite dish or dishes ?
Person1: Well , I always order fried spring rolls when I go to Chinatown .
Person2: But a Chinese person would never order that .
Person1: Really ? But they're delicious !
Person2: Alex , you don't know what to order . Let's go to a Chinese restaurant together next time .
Person1: That sounds great .
Person2: Get ready for the best meal of your life !
| Solution: happiness,No emotion,No emotion,No emotion,surprise,No emotion,happiness,happiness | 5 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.12548795342445374,
-0.012578019872307777,
-0.07908016443252563,
-0.165744811296463,
0.12003999948501587,
-0.2571517825126648,
0.7741610407829285,
0.28974324464797974,
-0.08174483478069305,
-0.06300514936447144,
-0.16522133350372314,
-0.6105705499649048,
-0.6868845224380493,
0.12256470322... |
Given the task definition, example input & output, solve the new input case.
Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Example: Problem: 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 ?
Options: a. 24, b. 120, c. 625, d. 720, e. 1024
Output: c
5 choices for each of the 4 questions, thus total r of 5 * 5 * 5 * 5 = 5 ^ 4 = 625 ways to answer all of them. Hence, the answer is c.
New input case for you: Problem: how many numbers between 200 and 600 are divisible by 4, 5 and 6 ?
Options: a. 5, b. 6, c. 8, d. 10, e. 12
Output: | b | 1 | NIv2 | task1678_mathqa_answer_selection | fs_opt | [
0.37507912516593933,
0.328758180141449,
-0.17089958488941193,
0.4998296797275543,
0.3107195496559143,
0.5349843502044678,
0.7427924275398254,
0.8838180303573608,
-0.26015305519104004,
0.18334059417247772,
-0.4876921772956848,
-0.20994868874549866,
0.018106097355484962,
-0.1883947253227234,... |
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.
Head: PersonX asks ___ to go with PersonY<sep>Tail: none
No
Head: PersonX is bullied at school<sep>Tail: powerful
Yes
Head: PersonX asks if PersonY was okay<sep>Tail: goes to hospital
| No
| 0 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.06170608475804329,
-0.04038830101490021,
0.6096301078796387,
0.13989369571208954,
-0.3994181752204895,
-1.7073087692260742,
0.49394091963768005,
0.49101319909095764,
-0.7424521446228027,
-0.11250470578670502,
-0.43305015563964844,
-0.3615305721759796,
-0.43496114015579224,
0.072311252355... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Example Input: Entonces el primer ejemplo del que voy a hablar se relaciona con niños con deterioro en el aprendizaje.
Example Output: Il primo esempio del quale parlerò riguarda bambini con difficoltà di apprendimento.
Example Input: Pero te lo tengo que decir porque a veces te escucho dudar y es tan abrumador pensar que puedes no saber realmente lo maravilloso que eres, cuan inspirador y encantador y en realidad, verdaderamente el más... "" (Risas) (Aplausos) El día de San Valentín se aproxima en un par de días. Y éstas están llegando actualmente a buzones en todo el mundo.
Example Output: Ma dovevo dirtelo perché a volte sento i tuoi dubbi, ed è pesante pensare che potresti non sapere quanto meraviglioso tu sia, quanto entusiasmante e delizioso e davvero, sinceramente il più completo... "" (Risate) (Applausi) Il giorno di San Valentino sarà tra un paio di giorni. E questi stanno arrivando nelle cassette della posta in tutto il mondo.
Example Input: Ahora, que podemos inferir sobre ésto..
Example Output: | Per riassumere.
| 3 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.02176281064748764,
0.48780494928359985,
0.15213462710380554,
0.36383920907974243,
-0.4501200318336487,
-0.7447894811630249,
0.1349376142024994,
1.2030620574951172,
-0.2776143252849579,
-0.3641359210014343,
-0.4920528531074524,
0.6550413370132446,
0.19764754176139832,
-0.0376949496567249... |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Q: Those who are not familiar with Cassandra Peterson's alter-ego Elvira, then this is a good place to start."Elvira, Mistress of the Dark" starts off with our heroine with the gravity defying boobs receiving a message. It seems that a great aunt of hers has died and that she needs to be present for the reading of the will. Anxious to raise money for a show she wants to open in Las Vegas, she decides to go in hopes of getting lots and lots of money.Unfortunately, the place she has to go is the town of Fallwell, Massachusetts. Having to stay a spell due to her car breaking down, she finds out that her great aunt left her 3 things: a house, a dog and a cookbook. The town residents have mixed reactions:the teens like her, the women hate her, and the men lust after her (Although trying to remain moral pillars of the community). Her worst problem turns out to be her great uncle Vincent (W. Morgan Sheppard), because he wants her cookbook. Seems that the cookbook is a book of spells that will make him a more powerful warlock.The film is actually pretty funny, with Peterson a.k.a. Elvira using her "endowments" and sexiness as a joke ("And don't forget, tomorrow we're showing the head with two things... I mean the thing with two heads"). Especially funny as Edie McClurg as Chastity Pariah, the woman that works her hardest to keep the town in line, but ends up looking ridiculous (The picnic scene is the perfect example). Deserves a peek (The film, not her boobs, of course).
A: | positive | 4 | NIv2 | task284_imdb_classification | zs_opt | [
0.3271844983100891,
0.4109571576118469,
0.034536171704530716,
0.02654867246747017,
0.26166555285453796,
-0.12560677528381348,
1.3176310062408447,
0.7548104524612427,
-0.1717667281627655,
-0.26508235931396484,
0.166299968957901,
0.2911859452724457,
-0.6387991905212402,
-0.022729791700839996... |
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
"" Todo o mundo que me coñecía antes do 11S cre que estou morto "". "" Adoitaba traballar cunha manda de persoas relixiosas pechadas, así que de cando en vez non levaba bragas e simplemente amosaba un gran sorriso e ría por dentro "". (Risos) O seguinte precisa unha pequena explicación antes de que volo ensine.
| "" כל מי שהכיר אותי לפני 9 / 11 מאמין שאני מת "" "" נהגתי לעבוד עם קבוצת דתיים אדוקים, אז לפעמים לא לבשתי תחתונים, רק חייכתי חיוך גדול וגיכחתי לעצמי. "" (צחוק) הבא בתור דורש הסבר קצר לפני שאני מציג לכם אותו. | 5 | NIv2 | task1242_ted_translation_gl_he | zs_opt | [
-1.0267773866653442,
1.2853740453720093,
0.21664956212043762,
-0.7150906324386597,
-0.5630305409431458,
-0.8678951263427734,
0.43180400133132935,
-0.06865110993385315,
-0.012206810526549816,
0.12367536872625351,
-0.5186741352081299,
0.0840727686882019,
-0.35873717069625854,
0.0741382017731... |
Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios.
Input: Avery entered the hall. James entered the hall. The strawberry is in the green_envelope. James exited the hall. Avery moved the strawberry to the red_envelope. Where will James look for the strawberry?
Output: | green_envelope | 3 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
0.29464471340179443,
-0.1704418957233429,
-0.34109923243522644,
0.13224518299102783,
-0.4950488209724426,
-0.2706657648086548,
-0.021506592631340027,
0.5541940927505493,
-0.005300271790474653,
-0.18324494361877441,
-0.46329277753829956,
0.8775251507759094,
-0.006523342337459326,
-0.0195259... |
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Let me give you an example: Jag förklarar debatten avslutad.
The answer to this example can be: The debate is closed.
Here is why: Swedish sentence is properly converted into English sentence.
OK. solve this:
I detta sammanhang stöder jag kraven på att utöka hamnkontrollen för att tillse att en total och effektiv kontroll görs.
Answer: | In that context I support calls to strengthen port state control to ensure full and effective inspection. | 8 | NIv2 | task312_europarl_sv_en_translation | fs_opt | [
-0.3709436058998108,
0.5692020654678345,
0.6933943033218384,
-0.888268768787384,
0.06926410645246506,
-0.6216685175895691,
0.9363635778427124,
0.7823810577392578,
0.5331989526748657,
0.12778949737548828,
-0.09545039385557175,
0.8864129185676575,
-0.9161477088928223,
-0.10178114473819733,
... |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Example input: Personality: I like spending time with my friends and family.
I like listening to all genres of music except country music.
I like to read a lot of books.
Chat history: -Hi.
-Hey how are you?
-Good and yourself?
-Good, just listening to music and hanging out with my family.
-What do you do for a living?
-I am a teacher. How about you?
-I'm a vet at the animal shelter.
-That is awesome, what do you like to do for fun?
-I love running. Its my way to detox.
-Running is great. Do you have any other hobbies?
-Not really... what do you teach?
-I teach reading, I love books and helping children learn how to read.
-Where are you from?
Candidates 1) Care to chat with a hamburger lover? Its my fav food. 2) I bet that is a great place to draw. I sell art for a living. 3) I am from Illinois, how about you? 4) They're great pets! I just started an organic only diet.
Example output: I am from Illinois, how about you?
Example explanation: The third choice is the best answer to the last part of the conversation, that asks where the person is from.
Q: Personality: I have a cat.
I wait tables at a cafe.
My mother was a nurse.
I like to be alone.
Chat history: -Hi want to get to know each other.
-Hello, are you staying in on this horrid, rainy day?
-I am. I enjoy my own company.
-That is why I am a gamer.
-That sounds awesome. I am a waitress.
-Do they serve broccoli at your restaurants? Are dogs allowed?
-No dogs, but we have all the veggies! Do you like dogs?
-I love dogs, I have two of them.
-My cat would not like that.
-Are you a hunter, or have you ever been?
Candidates 1) Oh wow. What kind of work do you do? 2) No I could never do that. 3) Kids just waking up. First of the month always helps. 4) Yeah, well I am not a 6 year old boy. I am a 32 year old woman.
A: | No I could never do that. | 3 | NIv2 | task1730_personachat_choose_next | fs_opt | [
0.10084054619073868,
-0.1614297330379486,
-0.7642820477485657,
0.18170887231826782,
-0.1184200868010521,
-0.38149160146713257,
0.8503752946853638,
-0.026096416637301445,
-0.5111287236213684,
-0.5634963512420654,
-0.19673767685890198,
0.040755435824394226,
-0.22875721752643585,
-0.249071821... |
In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Umsebenzi wokhuselo lwenkqubo yolwazi ezenzekelayo | Automated Information System Security Officer | 0 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | zs_opt | [
0.3658958673477173,
1.0065597295761108,
0.36879098415374756,
-0.6339243650436401,
-0.3207378387451172,
-0.9669708609580994,
0.2045537382364273,
0.4029068350791931,
0.503606915473938,
-0.3813862204551697,
-0.2879977524280548,
-0.37423527240753174,
-0.5594198107719421,
0.24481849372386932,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Categorize the comment on the basis of obscenity. If the comment is obscene output Yes, otherwise output No.
Will this remove the property from city taxes?
Solution: No
Why? The comment here is just a normal question without any indecent words and categorized as not obscene. Hence, it is a positive example
New input: Wait til the democratic convention. Any bets that it will be as uplifting as the 1968 convention?
Solution: | No | 0 | NIv2 | task1721_civil_comments_obscenity_classification | fs_opt | [
-0.17137563228607178,
0.5959917306900024,
0.3320956230163574,
0.4219452738761902,
-0.09265872836112976,
-0.5647540092468262,
1.0574758052825928,
0.8391072750091553,
0.6782753467559814,
0.4268127679824829,
-0.2601853609085083,
0.17555272579193115,
-0.33663517236709595,
-0.3473709225654602,
... |
instruction:
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
question:
¿Lembran o lume?
answer:
火という字を憶えていますか ？
question:
Vouvos ensinar a fotografía dunha persoa, tan só durante un ou dous segundos, gustaríame que identificarades cal é a emoción da súa cara.
answer:
ある人の写真をお見せしますほんの数秒です皆さんに見て頂きたいのは表情から読み取れる “感情 ” です
question:
Así que vou a suxerir que menos cousas e menos espacio van a equivaler a unha pegada máis pequena.
answer:
| そこで提案なんですがモノとスペースを減らしてフットプリントを削減しませんか
| 9 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-1.2448855638504028,
0.6086421608924866,
0.29008233547210693,
-0.9994841814041138,
-0.28333061933517456,
-1.1746702194213867,
1.693104863166809,
-0.09916029870510101,
-0.519442081451416,
-1.1523268222808838,
-0.2351420372724533,
-0.05098164826631546,
-0.4945613741874695,
1.1897590160369873... |
Given the task definition and input, reply with output. Construct a question that every answer in the list is correct and reasonable for it.
insurance, taxes, pet licence, gym membership
| name something you pay for once a year. | 5 | NIv2 | task821_protoqa_question_generation | zs_opt | [
-0.8875619173049927,
0.7106853127479553,
-0.18705275654792786,
-0.7248551845550537,
-0.013606627471745014,
-0.7549827098846436,
0.33141186833381653,
-0.3863425552845001,
0.6894561648368835,
-0.36273449659347534,
-0.19923090934753418,
0.45213204622268677,
-0.7581835985183716,
-0.17467299103... |
Definition: You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it should feel like it is written by younger person without high level of literature education.
Input: So blessed by you,Mom
Output: | a mother who always care a mother who's always there a mother who alway's pray a mother who always stay when thing get rough and life be tough when all be just to much to bear god word she share god light shes shine so bless god make this mother mine happy mother day | 2 | NIv2 | task1711_poki_text_generation | zs_opt | [
-0.6836651563644409,
1.1519486904144287,
-0.02921537682414055,
-0.760932445526123,
-0.4021703004837036,
-0.44697141647338867,
0.019797980785369873,
0.5464208722114563,
0.4466407299041748,
-0.22031420469284058,
-0.9231002330780029,
0.5752893686294556,
-0.5782431364059448,
-0.261172592639923... |
In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Input: Consider Input: This amiable picture talks tough , but it 's all bluster -- in the end it 's as sweet as Greenfingers ...
Output: POS
Input: Consider Input: Clint Eastwood 's Blood Work is a lot like a well-made PB & J sandwich : familiar , fairly uneventful and boasting no real surprises -- but still quite tasty and inviting all the same .
Output: POS
Input: Consider Input: It is philosophy , illustrated through everyday events .
| Output: POS
| 2 | NIv2 | task363_sst2_polarity_classification | fs_opt | [
-0.679701566696167,
0.4773136377334595,
0.4150095582008362,
0.08587723970413208,
0.37731969356536865,
-0.7475600242614746,
0.5019029974937439,
0.25138407945632935,
0.331406831741333,
0.40227848291397095,
0.1252557337284088,
-0.7925757765769958,
0.4730978012084961,
0.05775539577007294,
1.... |
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.
Let me give you an example: JkbloNUq, nYblowj
The answer to this example can be: b, j, k, l, n, o, q, u
Here is why: Here, 'JkbloNUq' is the longer string among the two input strings. Lowercasing it and finding all unique alphabets gives 'b, j, k, l, n, o, q, u'.
OK. solve this:
jwXVaPRZefWXltTraW, CEQiEVaPRZefWXlBzAglZFfm
Answer: | a, b, c, e, f, g, i, l, m, p, q, r, v, w, x, z | 8 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | fs_opt | [
-0.12612870335578918,
1.7170631885528564,
-0.6260000467300415,
-0.844460666179657,
-0.03032170981168747,
-0.09834964573383331,
0.8251034021377563,
-0.16977202892303467,
-0.31184831261634827,
0.3761228322982788,
0.2928464710712433,
-0.2083425670862198,
-0.5658438205718994,
0.339299321174621... |
Given a sentence, 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].
Q: Verify if the sentiment of the following document towards the entity Desmond Tutu is Neutral . October 6 2016 - The day before his 85th birthday he writes a Washington Post article supporting the right to die with dignity. "Dying people should have the right to choose how and when they leave Mother Earth. I believe that alongside the wonderful palliative care that exists their choices should include a dignified assisted death."
A: | no | 4 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-0.44364041090011597,
-0.22700510919094086,
0.8759909868240356,
-0.3061773478984833,
-0.3232191205024719,
-2.225041627883911,
0.8854395151138306,
-0.19788582623004913,
0.579838752746582,
0.590146541595459,
0.3960473835468292,
-0.14949844777584076,
-0.15779408812522888,
-0.4005984663963318,... |
Teacher:In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Teacher: Now, understand the problem? Solve this instance: He might need to brush up on his diplomatic skills after revealing that Louis van Gaal told his Manchester United players to ‘ignore the fans’ during Tuesday’s win over CSKA Moscow, but there is nothing wrong with Jesse Lingard’s ability on the ball. On a night when the yearning of United supporters for some old school entertainment was never more apparent, what better occasion for Lingard to come to the fore? A wide player born in nearby Warrington and raised in the best Old Trafford traditions, taking the game to the opposition in a way that United’s bigger names have often struggled to do under Van Gaal.Manchester United pounced late to defeat CSKA Moscow 1-0 on TuesdayJesse Lingard assisted Wayne Rooney strike in Champions League gameLouis van Gaal told players to ignore fans during half-time team talkLingard has impressed this term, gaining favour over £25million summer signing Memphis Depay at Old Trafford
Question:In fairness to Van Gaal, he spotted _’s potential and gave him a full debut in his very first game in charge at home to Swansea last season.
Student: | Jesse Lingard | 6 | NIv2 | task339_record_answer_generation | zs_opt | [
0.6999108791351318,
0.7657296657562256,
-0.5435168147087097,
0.4585067629814148,
0.49174150824546814,
-0.2615364193916321,
0.13566839694976807,
0.14411166310310364,
0.2900243401527405,
-0.13791829347610474,
0.09724468737840652,
-0.15893766283988953,
-0.37349992990493774,
-0.092956110835075... |
Given the task definition, example input & output, solve the new input case.
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
Example: I_TURN_LEFT I_JUMP
Output: jump left
If the agent turned to the left and jumped, then the agent jumped to the left.
New input case for you: I_JUMP I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN
Output: | jump and run right twice | 1 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.0593719519674778,
0.5889297723770142,
-0.39839303493499756,
0.37497103214263916,
-0.009414143860340118,
0.19681407511234283,
0.32463347911834717,
0.9224170446395874,
-0.32375210523605347,
-0.05420590564608574,
-0.8440873026847839,
-0.4197784960269928,
-0.5562233924865723,
-0.264012277126... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Example: Dialogue 1: 'when did i called u ugly pony when did you ever call fuck u ur rlly a mad person asshole rnda bc'. Dialogue 2: 'go to dhapar math do sl maths a lot of places don't like maths studies it's amazing'.
Output: no
The first dialogue is an angry dialogue and the second dialogue is a happy dialogue. Therefore, they are not the same emotion so the output is 'no'. So this is a good example.
New input case for you: Dialogue 1: 'no my name what is it do u no whom ur chatting with'. Dialogue 2: 'where i move this side of town lol which side of town'.
Output: | yes | 1 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.631684422492981,
0.20008419454097748,
0.15916013717651367,
-0.10017192363739014,
-0.22816309332847595,
0.8969735503196716,
0.8093908429145813,
-0.09016366302967072,
-0.2511490285396576,
-0.5461413264274597,
0.06621602922677994,
-0.25020936131477356,
-0.19223861396312714,
0.0329121388494... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
The girls continue to speak with one another while the girl knits. They
Solution: put the bars around while speaking and play.
Why? This is incorrect as the girls are not playing, they are knitting.
New input: She lays down and receives the piercing in her cheek, then sits up to wipe her face. When the video is over the closing captions
Solution: | appear on the screen briefly. | 0 | NIv2 | task454_swag_incorrect_answer_generation | fs_opt | [
0.3036911189556122,
0.7750691175460815,
-0.33755770325660706,
0.21593593060970306,
-0.30219215154647827,
-0.09734951704740524,
-0.23465900123119354,
0.5846956968307495,
-0.20249246060848236,
0.40975701808929443,
0.059171468019485474,
-0.17587769031524658,
-0.021107248961925507,
-0.02481087... |
Instructions: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Input: Passage: Following the cover up of a crash of a nuclear bomber at an American Air Force base in the UK, Dennis Markham, a prominent Member of Parliament and opponent of the American nuclear presence in the United Kingdom, is planning to ask questions about it in Parliament. Before he can, he is reported by a London paper to have been seen leaving a woman's home on the same evening as she is visited by a military attache from East Germany, Markham's loyalty to his country is questioned. He is hounded by the media and is forced to resign.
The author of the newspaper exposé, Nick Mullen, continues his work alongside colleague Vernon Bayliss who suspects that Markham was framed. When Bayliss dies from a supposed heart attack the same night as Bayliss' flat is ransacked by someone who was not after money or valuables, Mullen suspects something deeper at work. He then finds some evidence of the cover-up of a near-accident at a nuclear site and a secret US Air Force base. With the help of Markham's secretary, Nina Beckman, Mullen continues to investigate the affair despite a break in of his flat, surveillance and other attempts of the British Government to stop him. In the end, Mullen and Beckman are seemingly killed in an explosion, but Mullen's story about the cover-up is published.
Question: Who tried to stop Nick Mullen of his investigation?
Output: | the British Government. | 3 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.6808978915214539,
0.4075263738632202,
-0.21102872490882874,
0.056795693933963776,
0.10806331038475037,
-0.19771060347557068,
1.042879581451416,
0.27280324697494507,
0.6246660947799683,
0.310497522354126,
-0.8669589161872864,
0.665170431137085,
-0.8946170806884766,
0.32105106115341187,
... |
instruction:
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
question:
Paragraph: Nasopharyngeal carcinoma (NPC) is a unique malignancy derived from the epithelium of the nasopharynx. Despite great advances in the development of radiotherapy and chemotherapy, relapse and metastasis in NPC patients remain major causes of mortality. Evidence accumulated over recent years indicates that Epstein-Barr virus (EBV) lytic replication plays an important role in the pathogenesis of NPC and inhibition of EBV reactivation is now being considered as a goal for the therapy of EBV-associated cancers. With this in mind, a panel of dietary compounds was screened and emodin was found to have potential anti-EBV activity. Through Western blotting, immunofluorescence, and flow cytometric analysis, we show that emodin inhibits the expression of EBV lytic proteins and blocks virion production in EBV-positive epithelial cell lines. In investigating the underlying mechanism, reporter assays indicated that emodin represses Zta promoter (Zp) and Rta promoter (Rp) activities, triggered by various inducers. Mapping of the Zp construct reveals that the SP1 binding region is important for emodin-triggered repression and emodin is shown to be able to inhibit SP1 expression, suggesting that it likely inhibits EBV reactivation by suppression of SP1 expression. Moreover, we also show that emodin inhibits the tumorigenic properties induced by repeated EBV reactivation, including micronucleus formation, cell proliferation, migration, and matrigel invasiveness. Emodin administration also represses the tumor growth in mice which is induced by EBV activation. Taken together, our results provide a potential chemopreventive agent in restricting EBV reactivation and NPC recurrence. Genetic, environmental, and viral factors have been incriminated in the etiology of NPC and Epstein-Barr virus (EBV) is strongly associated with the occurrence of NPC. EBV is a member of the gamma herpesviruses, with a 172 kb double-stranded DNA genome. The life cycle of EBV includes latency and lytic replication. Eleven gene products, EBNAs 1~6, LMPs 1, 2A, and 2B, and small RNAs EBER 1 and 2, are expressed during latent infection [6] . Upon induction by chemicals or stress, EBV is activated and enters the lytic cycle, known as reactivation. Three subsets of lytic genes, immediate-early, early, and late genes, are expressed sequentially and, subsequently, viral particles are packaged and released [7, 8] . Through years of study, EBV latent infection has been considered to play an important role in NPC carcinogenesis. In recent years, accumulating evidence has suggested that EBV lytic infection also contributes to the tumorigenesis of NPC. Sero-epidemiological surveys indicate that patients with elevated antibody titers against EBV lytic proteins, such as viral capsid antigen (VCA), DNase, DNA polymerase, and early antigen (EA), have a high risk of NPC [9] [10] [11] [12] [13] [14] [15] . Several EBV lytic products have been detected in the NPC biopsies [16] [17] [18] . In addition, EBV lytic proteins, including BARF1, BHRF1, BRLF1, BALF3, BGLF4, and DNase, have been shown to have various tumorigenic functions [16, [19] [20] [21] [22] . In our previous study, we found that EBV reactivated by chemicals promotes cellular genome instability and tumor growth [23, 24] . Collectively, these reports suggest that inhibition of EBV reactivation might be useful for NPC prevention and therapy. Accordingly, for safety and convenience, we have screened several dietary compounds for anti-EBV activity. We reported that the flavonoids have activity against EBV reactivation and through the inhibition of EBV, NPC tumorigenesis has been repressed [25] [26] [27] . Here, we report that the phytochemical emodin has the potential ability to inhibit EBV reactivation. Emodin, a common traditional Chinese medicine, is an anthraquinone derivative present in the roots or rhizomes of rhubarb. Emodin has various medical applications, including anti-cancer, anti-oxidation, anti-inflammation or allergy, anti-diabetes, and anti-viral or bacterial activities [28] . For its anti-viral effect, emodin has the ability to inhibit the SARS coronavirus [29] , and block the replication of HBV [30], Coxsackievirus [31], zika virus [32], and influenza A virus [33] . Moreover, emodin has been suggested to inhibit the replication of herpesviruses [34] [35] [36] . However, the detailed mechanism is not well elucidated. In this study, based on our screening, we show that emodin inhibits EBV reactivation in epithelial cells, through the mechanism of repressing SP1 expression to inhibit the Zta and Rta promoter activities. Moreover, through its anti-EBV activity, NPC tumorigenesis could be relieved, suggesting emodin is a potential agent for therapy of EBV-associated cancer. Results Emodin (1,3,8-trihydroxy-6-methyl-anthraquinone, Figure 1a ) has been shown to be cytotoxic to human cell lines. Before investigating the anti-EBV effect of emodin, two EBV-positive NPC cell lines, NA and HA, and their parental cells TW01 and HONE-1, were assessed for susceptibility to the cytotoxicity of emodin. The cells were seeded into 96-well plates 24 h prior to treatment; then, emodin was added for 48 h to determine its cytotoxic effect on the NPC cell lines NA and HA. Emodin has significant toxicity to TW01 cells, while the derivative NA cells showed little resistance to the compound (Figure 1b) . A similar effect was seen on HONE-1 and HA cells (Figure 1b) . Furthermore, to evaluate these results more precisely, half maximum of cytotoxicity concentrations 50 (CC50) were calculated and are shown in the top panels of Figure 1b . The CC50 values of TW01 and the derivative NA cell lines were 31 and 79 µM, while the values for HONE-1 and HA were 58 and 65 µM, respectively (Figure 1b) , implying that the cells harboring EBV seemed to be more resistant to emodin (TW01 vs.
Title: Emodin Inhibits EBV Reactivation and Represses NPC Tumorigenesis
answer:
False
question:
Paragraph: A B S T R A C T Acute hepatopancreatic necrosis disease (AHPND), also known as Early mortality syndrome (EMS), is a recently emerged lethal disease that has caused major economic losses in shrimp aquaculture. The etiologic agents are Vibrio spp. that carry Photorhabdus Insect-Related (Pir) toxin genes pirA and pirB. A multiplex SYBR Green realtime PCR was developed that detects pirA, pirB, and two internal control genes, the shrimp 18S rRNA and the bacterial 16S rRNA genes in a single reaction. The pirB primers amplify the 3'-end of the pirB gene allowing the detection of Vibrio spp. mutants that contain a complete deletion of pirA and the partial deletion of pirB. The assay also detects mutants that contain the entire pirA gene and the deletion of the pirB gene. Since both toxin genes are needed for disease development, this assays can distinguish between pathogenic strains of Vibrio spp. that cause AHPND in shrimp and mutants that do not cause disease. The amplicons for pirA, pirB, 18S rRNA and 16S rRNA showed easily distinguishable melting temperatures of 78.21 ± 0.18, 75.20 ± 0.20, 82.28 ± 0.34 and 85.41 ± 0.21°C respectively. Additionally, a duplex real-time PCR assay was carried out by designing TaqMan probes for the pirA and pirB primers. The diagnostic sensitivity and specificity was compared between the SYBR Green and TaqMan assays. Both assays showed similar sensitivity with a limit of detection being 10 copies for pirA and pirB, and neither assays showed any cross reaction with other known bacterial and viral pathogens in shrimp. The high sensitivity of both assays make them suitable for the detection of low copies of the pirA and pirB genes in AHPND causing Vibrio spp. as well as for detecting non-pathogenic mutants.
Title: Multiplex SYBR Green and duplex TaqMan real-time PCR assays for the detection of Photorhabdus Insect-Related (Pir) toxin genes pirA and pirB
answer:
False
question:
Paragraph: The prevalence of antibodies to bovine coronavirus (BCV) and bovine respiratory syncytial virus (BRSV) infections was studied in 20 conventional and 20 organic dairy herds. The organic farms had produced 'certified' milk for at least 2 years. On two occasions, with a 1-year interval, 699 serum samples from 624 peri-parturient cows were tested by ELISA for antibodies to BCV and BRSV. Accompanying data relating to the sampled animals were collected in order to identify potential factors associated with increased antibody prevalence. The antibody prevalence was high at both sampling times with approximately 85% and 80% of animals positive for antibodies to BCV and to BRSV, respectively. Conventional herds had a significantly higher mean antibody prevalence to BCV and BRSV than the organically managed herds (P < 0.01). Animal age was significantly associated with increased antibody prevalence (P < 0.001). The findings of this study suggest that organic farm management may be effective in reducing the seroprevalence of these viruses relative to conventional farming methods.
Title: Reduced likelihood of bovine coronavirus and bovine respiratory syncytial virus infection on organic compared to conventional dairy farms
answer:
| True
| 9 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.20328620076179504,
-0.1092248260974884,
0.048759229481220245,
0.404997318983078,
0.7669786810874939,
-0.0012303362600505352,
1.0008220672607422,
0.8548768758773804,
0.2164822816848755,
0.3746785819530487,
-0.040513649582862854,
0.4097762107849121,
-0.4922427833080292,
0.21312755346298218... |
Q: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" and "stern") which express contrasting attributes about the two persons. The answer to the first and the second sentence must be PersonX and PersonY, respectively. PersonX and PersonY should not be equally likely to fill the blank. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your sentences. Avoid repeating the same style or phrase in twin sentences e.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that PersonX and PersonY have the same gender. In each sentence, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Context Word: complicated.
A: | Sentence 1: The life of PersonX was more complicated than that of PersonY because _ grew up in a bad area.
Sentence 2: The life of PersonX was more complicated than that of PersonY because _ grew up in a good area. | 7 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.24067986011505127,
0.3501296043395996,
0.2824290692806244,
-0.4411987066268921,
0.25030094385147095,
-0.4632384479045868,
0.7500741481781006,
0.8208067417144775,
-0.05402028560638428,
-0.42721661925315857,
-0.2956578731536865,
-0.2220170795917511,
-0.7306811809539795,
-0.1187805682420730... |
Definition: In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given question. A good incorrect answer should be closely related to the content of the paragraph and/or the question so that the readers are forced to read the whole paragraph to infer its [in]correctness. Additionally, an incorrect answer should be of the same semantic type as the given correct answer (e.g., both can be names of locations). If you think the given incorrect answer is good(and incorrect), indicate it by responding "Yes". Otherwise, respond "No". There are only two types of responses possible:"Yes" and "No".
Input: Paragraph- Sent 1: An archaeological party explore some caverns underground .
Sent 2: Dr. Campbell and Dr. Hughes are the two leaders of the archaeological expedition , and get separated .
Sent 3: While Dr. Hughes finds an alien corpse with a fossilized diamond , Dr. Campbell finds hieroglyphics at the cost of the party except for Hughes and himself .
Sent 4: Two years later , Campbell and his assistant Holly are digging up the bones of Yonggary , a gargantuan dinosaur 50 times the size of a tyrannosaurus rex .
Sent 5: Out of nowhere , people slowly are being killed around the site .
Sent 6: While Holly is working Dr. Hughes , who has been legally dead for 2 years , goes to Holly and tells her to stop the dig .
Sent 7: Dr. Campbell comes into the tent and sends Dr. Hughes off .
Sent 8: Holly quits the expedition when another `` Accident '' occurs .
Sent 9: In the town bar , Dr. Hughes finds Holly and takes her back to her Hotel room to tell her why he thinks the bones of the Dinosaur , which he calls Yonggary , are going to bring the end of the world .
Sent 10: After explaining , Holly and Hughes go to the site to stop Campbell but it is too late and Aliens resurrect Yonggary .
Sent 11: After Yonggary 's first appearance , the Army comes in and takes Holly and Campbell to an army base when Yonggary is dispatched by the aliens again .
Sent 12: The army sends choppers after Yonggary , but he destroys them .
Sent 13: Yonggary is then sent to the city and does some damage , where some jets attack him .
Sent 14: Then Yonggary is transported to a power plant where he is attacked by rocket pack soldiers .
Sent 15: During the fight , Hughes and Holly find out that the diamond on Yonggary 's forehead is the device giving the aliens control of Yonggary .
Question: What did the archaeologist that Holly is the assistant to find on the expedition.?
Incorrect Answer: alien corpse.
Output: | Yes. | 2 | NIv2 | task057_multirc_classify_incorrect_answer | zs_opt | [
0.47635185718536377,
0.6102393269538879,
-0.47611504793167114,
0.07617609202861786,
0.12360936403274536,
-1.0182255506515503,
0.13548138737678528,
0.8328622579574585,
0.13991370797157288,
0.2214829921722412,
-0.35866308212280273,
0.7638341784477234,
-0.18342095613479614,
0.2778299748897552... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Sentence1: Tabby was one of my best friends, until the day she died. Sentence2: We left a campground just outside of our town in her mustang. Sentence3: She turned left onto highway 64, but drifted into oncoming lanes. Sentence4: The last thing I remember was her looking at me, hand on her chest. Sentence5: She fell over sideways just before the semi hit, driving over her side.
Output: | I (myself), Best friends, Tabby | 1 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
0.06630965322256088,
0.1086835116147995,
-0.05350964143872261,
0.24096937477588654,
0.20840980112552643,
-0.29573342204093933,
0.6646118760108948,
0.7612823247909546,
0.14281904697418213,
0.2744559049606323,
-0.8840949535369873,
-0.6156337261199951,
0.2988976538181305,
0.06632217764854431,... |
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
Example Input: What alumni is the co-founder of the company that was formerly known as Arby 's Restaurant Group ?
, Word: Restaurant
, POS tag: DT
Example Output: False
Example Input: What is the location for the airport that was , during the final phase of the Chadian-Libyan conflict , the main air base in Southern Libya , with room for 100 combat aircraft ?
, Word: air
, POS tag: IN
Example Output: False
Example Input: One of the Ohio Hopewell culture 's mounds was listed on the National Register of Historic Places on the same day as what other mounds ?
, Word: Register
, POS tag: NNP
Example Output: | True
| 3 | NIv2 | task346_hybridqa_classification | fs_opt | [
0.31897425651550293,
0.14449989795684814,
-0.24850592017173767,
0.0967843234539032,
-0.11545979976654053,
-0.5189591646194458,
1.0280036926269531,
1.0047322511672974,
-0.5794753432273865,
-0.21494348347187042,
-0.7666304707527161,
0.04731694236397743,
-0.2711700201034546,
-0.00747493188828... |
Given the task definition and input, reply with output. In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
The report on competition policy further stresses the Commission' s confidence in hard and fast rules instead of putting the emphasis on economic arguments regarding efficiency, which affects competitiveness.
| English | 5 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.8201310634613037,
1.0020511150360107,
0.44746947288513184,
-0.6028653979301453,
-0.12159574776887894,
0.20172333717346191,
0.20269115269184113,
0.5736995935440063,
0.3252016603946686,
-0.1858929991722107,
-0.18600529432296753,
0.4466201663017273,
0.17854464054107666,
-0.3291818797588348... |
Definition: A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: अस्थायी का ठेवले?
Output: | અસ્થાયી કેમ બનાવે રાખી? | 2 | NIv2 | task984_pib_translation_marathi_gujarati | zs_opt | [
0.2177458107471466,
0.364129900932312,
0.2834956645965576,
-0.18183006346225739,
0.0037622260861098766,
-1.097334384918213,
0.7374345064163208,
-0.24120621383190155,
0.25791823863983154,
-0.42616763710975647,
-1.1191326379776,
-0.04557959735393524,
-0.7694127559661865,
0.4217548370361328,
... |
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
One example: Problem: walking at 5 / 6 th of its usual speed a cab is 15 mnts late . find its usual time to cover the journey ?
Options: a ) 25 m , b ) 45 m , c ) 32 m , d ) 75 m , e ) 62 m
Solution is here: d
Explanation: New speed = 5 / 6 th of usual speed new time = 6 / 5 th of usual time 6 / 5 ut - ut = 15 m ut / 5 = 15 m ut = 75 m answer is d
Now, solve this: Problem: two friends c and d leave point c and point d simultaneously and travel towards point d and point c on the same route at their respective constant speeds . they meet along the route and immediately proceed to their respective destinations in 32 minutes and 50 minutes respectively . how long will d take to cover the entire journey between point d and point c ?
Options: a ) 90 , b ) 80 , c ) 75 , d ) 60 , e ) 65
Solution: | a | 6 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.7217240333557129,
0.04429219290614128,
-0.36112791299819946,
-0.04078742861747742,
-0.5391544699668884,
0.35661980509757996,
0.35006144642829895,
0.4514959156513214,
0.06006032973527908,
-0.2778022289276123,
-0.6092097759246826,
-0.00678391195833683,
0.25410741567611694,
0.07523626089096... |
Q: In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
['A', '497', 'x', '8741', '6557', '9381', 'j', '1931', '1089', 'i', '2803', 'V', 'g', '2539', 'F', '2341', '4953', 'M', '8677', '9207', '1117', '317', '4199', '3947', 'R', 'n', 'C']
A: | 497, 8741, 6557, 9381, 1931, 1089, 2803, 2539, 2341, 4953, 8677, 9207, 1117, 317, 4199, 3947 | 7 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
-0.012822043150663376,
0.3280535638332367,
-0.6734696626663208,
-0.5519033670425415,
-0.45567750930786133,
0.055113937705755234,
0.38971519470214844,
-0.023662922903895378,
0.03769657388329506,
0.16054758429527283,
-1.0314332246780396,
-0.46502813696861267,
0.027710972353816032,
0.26879167... |
Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatum belong to the same semantic class. A hypernym relation indicates that the relatum is a category of which the concept is a specific instance. A meronym relation implies that relatum is a part/component/organ/member of the concept. An attribute relation is when the relatum is an adjective expressing an attribute of the concept. An event relation holds when the relatum is a verb referring to an action/activity/happening/event that is performed by or with the concept. If the relatum and concept are unrelated, the relation between them is 'random'. Classify your answers into coord, hyper, mero, attri, event, and random.
Concept: herring, Relatum: head. | mero | 0 | NIv2 | task1418_bless_semantic_relation_classification | zs_opt | [
0.23782090842723846,
0.24112780392169952,
0.5999956130981445,
0.13836431503295898,
-0.7669267654418945,
0.1802530139684677,
-0.051086485385894775,
0.09783954918384552,
-0.07366468757390976,
-0.9951726198196411,
-0.9019900560379028,
-0.21023817360401154,
-0.7382310628890991,
0.5284662246704... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Input: Consider Input: Title: Pop Tarts. Sentence 1: Ted wanted pop tarts for dinner. Sentence 2: His mom told him no. Sentence 3: He was angry that he couldn't eat what he wanted. Sentence 4: He snuck into the kitchen while his mom was out and ate the whole box.
Output: He began to feel sick and wished he had listened.
Input: Consider Input: Title: Lost. Sentence 1: Nell was on a hiking trip with her friends. Sentence 2: Then she somehow became separated from them. Sentence 3: She was lost on another trail, and scared! Sentence 4: She kept her calm and stayed in place, yelling loudly.
Output: Luckily, her friends weren't far and found her very soon.
Input: Consider Input: Title: Too Many Questions. Sentence 1: Haley met up with Vince. Sentence 2: They exchanged a few words and asked questions. Sentence 3: Vince had many questions that were unreasonable. Sentence 4: Although Haley was annoyed, she remained patient.
| Output: She never talked to him again after that day.
| 2 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.0825304314494133,
0.7650137543678284,
0.141222283244133,
-0.00965909007936716,
-0.18170103430747986,
0.116913802921772,
0.35041606426239014,
0.6414564847946167,
-0.36327064037323,
-0.02734197862446308,
-0.7386308908462524,
-0.3555571734905243,
0.032208871096372604,
-0.3865854740142822,
... |
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.
Let me give you an example: He poured out his to heart God, and after a few minutes the need left him, for a while anyway.
The answer to this example can be: Inversion
Here is why: "heart" and "to" have been inverted.
OK. solve this:
Halfway across Gull Lake I asked if him he still loved Belinda.
Answer: | Inversion | 8 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.5325160026550293,
0.375457227230072,
0.5691686868667603,
0.055491648614406586,
0.029656028375029564,
-0.5999796390533447,
0.8605203032493591,
0.1620001196861267,
0.06269068270921707,
-0.5006369948387146,
-0.8964287042617798,
-0.6998788714408875,
-0.7822913527488708,
-0.1489669531583786,... |
Definition: You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea that goes against the widely held but oversimplified notion of a group of people. Sentences and targets are unrelated if there is no relevance between them.
Input: Target: Britain
Britain is in Eurpoe. Scuba diving is good for volcanos.
Output: | unrelated | 2 | NIv2 | task320_stereoset_classification_race | zs_opt | [
0.020080801099538803,
0.3830178678035736,
0.12629708647727966,
-0.10551223903894424,
-0.12916839122772217,
-0.3519916236400604,
0.6230906248092651,
0.34743160009384155,
0.6053322553634644,
-0.3376944065093994,
-0.1314428150653839,
0.19417501986026764,
-0.5753129720687866,
-0.32808983325958... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expressions abbreviated. Questions regarding human beings, description of a person, and a group or organization of persons are categorized as Human. Quantity questions are asking about numeric values and Location questions ask about locations, cities, and countries. Answer with "Description", "Entity", "Abbreviation", "Person", "Quantity", and "Location".
Q: Describe the Finnish music personality Salonen 's appearance .
A: Description
****
Q: Where on the Internet can I find information on laundry detergent ?
A: Location
****
Q: When did the Bounty mutiny take place ?
A: | Quantity
****
| 4 | NIv2 | task1289_trec_classification | fs_opt | [
-0.21876437962055206,
0.18860752880573273,
0.25686565041542053,
-0.008536288514733315,
-0.5239043235778809,
-0.45651334524154663,
0.6450424194335938,
0.40353620052337646,
0.08849523216485977,
-0.2527186870574951,
-0.5839411616325378,
0.487557590007782,
-0.5413920879364014,
0.09845193475484... |
Q: In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list of numbers must be inside brackets. Sort the numbers in your answer in an ascending order, that is, no matter what the order of the numbers in the lists is, you should put them in your answer in an ascending order.
[9, 3, 7, 7, 5, 1, 3] , [8, 6, 4, 5, 3, 3, 5]
A: | [3, 5] | 7 | NIv2 | task098_conala_list_intersection | zs_opt | [
0.2518357038497925,
-0.06352347135543823,
-0.43858253955841064,
-0.3391357362270355,
0.40284761786460876,
-0.14287054538726807,
0.5552666783332825,
0.5107086896896362,
0.18204674124717712,
0.4013119637966156,
-0.5237132906913757,
-0.4852408766746521,
-0.28709709644317627,
0.510530233383178... |
TASK DEFINITION: In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
PROBLEM: 新しいアルバムから聞いている人は･･･ . 彼女のヴォーカルの魅力は言わずもがなですが、 今となってはどの曲も少し古く感じられてしまうのは仕方ないでしょう。 新しいアルバムからファンになった人は、 元気いっぱいのアレンジが気恥ずかしいかも。 ジャケットは大好きなんだけど。
SOLUTION: NEG
PROBLEM: イマイチ・・・ . 発売日に購入しましたが、特典ＤＶＤの内容が会見ＶＴＲなどでネット配信が すでにされていた内容でがっかりしました。 ４曲のうち新メンバーの二人が関わっている曲もあまりに少なく残念でした。 今後の新曲に期待したいです...
SOLUTION: NEG
PROBLEM: 最高に心が温かくなる音楽 . 国内盤が無かったので、輸入盤を買いました。音質も良いし、オ-ジェイズ、スタイリステイックス シャイライツを好む人はチェツク
SOLUTION: | POS
| 8 | NIv2 | task487_cls_japanese_music_classification | fs_opt | [
0.2723017930984497,
-0.3234516978263855,
-0.6514102220535278,
0.5525488257408142,
0.4708811044692993,
0.1872887909412384,
0.6266604065895081,
0.3219168782234192,
-0.20833611488342285,
0.41335272789001465,
-0.22054722905158997,
-0.5261064171791077,
0.06734844297170639,
-0.0955875888466835,
... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Yes if the utterance contains the self-need strategy, otherwise output No. self-need is a selfish negotiation strategy. It is used to create a personal need for an item in the negotiation, such as by pointing out that the participant sweats a lot to show preference towards water packages.
Context: 'The thing I need less, but still sort of want some of, is food.' 'I'm like that as well, a small appetite.' 'I need firewood the least of all though, because I have a lot of coats for warmth.'
Utterance: 'Are you bringing several coats while camping?' | No | 0 | NIv2 | task356_casino_classification_negotiation_self_need | zs_opt | [
-0.1380171924829483,
0.28074848651885986,
-0.39818817377090454,
-0.002981919329613447,
-0.6734097003936768,
-0.9407089352607727,
0.9942216277122498,
0.1268797665834427,
-0.475250780582428,
0.21627968549728394,
0.1794576346874237,
-0.3355709910392761,
-1.2507781982421875,
-0.140397042036056... |
instruction:
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
question:
Problem: two passenger trains start at the same hour in the day from two different stations and move towards each other at the rate of 24 kmph and 21 kmph respectively . when they meet , it is found that one train has traveled 60 km more than the other one . the distance between the two stations is ?
Options: a ) 288 , b ) 540 , c ) 877 , d ) 278 , e ) 178
answer:
b
question:
Problem: a 70 cm long wire is to be cut into two pieces so that one piece will be 2 / 3 th of the other , how many centimeters will the shorter piece be ?
Options: a ) 35 , b ) 20 , c ) 28 , d ) 36 , e ) 30
answer:
c
question:
Problem: if the lcm and hcf of 12 and another number is 60 and 3 respectively . find the other number ?
Options: a ) 17 , b ) 12 , c ) 15 , d ) 13 , e ) 11
answer:
| c
| 9 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.23723840713500977,
0.2425246685743332,
-0.21024073660373688,
-0.5658175945281982,
-0.22733470797538757,
-0.12402720749378204,
0.5629235506057739,
0.33351802825927734,
-0.28062254190444946,
-0.3842245638370514,
-0.9877402186393738,
0.179622083902359,
0.032565392553806305,
-0.3313260674476... |
You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for negative sentiment and a 1 for positive sentiment.
un film trop peu connu au vu de ses innombrables qualités ! Evidemment, si ça avait été un bockbuster avec lequel on nous aurait harcelé des mois à l'avance (rien qu'avec l'exemple de ces nanars du genre "the village" et compagnie) ce film aurait eu la reconnaissance qu'il mérite! à voir si c'est pas d'jà fait! | 1 | 0 | NIv2 | task1591_allocine_classification | zs_opt | [
-0.6457406282424927,
0.37865006923675537,
-0.23106902837753296,
0.3441588878631592,
0.34724146127700806,
-0.51393723487854,
0.5115863084793091,
0.34950655698776245,
0.13223913311958313,
-0.22282995283603668,
-0.8087104558944702,
-0.11890704929828644,
-0.5356462001800537,
-0.331990003585815... |
Instructions: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
Input: News Headline: RIP Roger {Moore} ... James Bond
Edit: Rabbit
Output: | Not Funny | 3 | NIv2 | task495_semeval_headline_classification | zs_opt | [
-0.03666771948337555,
0.6571662425994873,
0.30059102177619934,
0.2911229729652405,
-0.46095848083496094,
-0.5442805290222168,
0.14333128929138184,
0.6322258710861206,
-0.015857761725783348,
-0.5543290376663208,
-0.6728471517562866,
-0.25032126903533936,
-0.47365623712539673,
0.324238568544... |
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