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 |
|---|---|---|---|---|---|---|
Given the task definition and input, reply with output. You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Category: MIDDLE NAME, PLEASE
Clue: Of former First Lady Eleanor Carter
| rosalynn | 5 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-1.1827871799468994,
0.7614858150482178,
-0.5736129283905029,
-0.05202210694551468,
0.1054627075791359,
-0.20374977588653564,
0.5902067422866821,
-0.04659734293818474,
0.3762734532356262,
-0.30820608139038086,
-0.32633906602859497,
0.19098137319087982,
-0.3383222818374634,
-0.3480675220489... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
خوشحالم که بحث در این مورد شروع شده. | Felizmente está a haver discussão em torno deste assunto. | 0 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.46682208776474,
0.4945981502532959,
-0.24275261163711548,
0.5874199867248535,
-0.4207543134689331,
0.6600707769393921,
0.15212887525558472,
0.16524511575698853,
1.3242067098617554,
-0.3829795718193054,
-0.684456467628479,
-0.03076082654297352,
-0.03466898202896118,
0.5776097774505615,
... |
Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be incorrect.
Q: The ideal gas law does not require that the properties of what?
A: | copper change | 4 | NIv2 | task592_sciq_incorrect_answer_generation | zs_opt | [
-0.16086870431900024,
1.8479843139648438,
-0.031707651913166046,
-0.5195311903953552,
-0.780349850654602,
-0.96659255027771,
-0.27471762895584106,
-0.010343119502067566,
-0.2863314747810364,
-0.24401015043258667,
-0.482504665851593,
-0.23406948149204254,
-0.20291495323181152,
-0.6244742870... |
Detailed Instructions: In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Problem:Abstract: CONTEXT Maternal depressive symptoms during pregnancy have been reported in some, but not all, studies to be associated with an increased risk of preterm birth (PTB), low birth weight (LBW), and intrauterine growth restriction (IUGR).
OBJECTIVE To estimate the risk of PTB, LBW, and IUGR associated with antenatal depression.
DATA SOURCES AND STUDY SELECTION We searched for English-language and non-English-language articles via the MEDLINE, PsycINFO, CINAHL, Social Work Abstracts, Social Services Abstracts, and Dissertation Abstracts International databases (January 1980 through December 2009). We aimed to include prospective studies reporting data on antenatal depression and at least 1 adverse birth outcome: PTB (<37 weeks' gestation), LBW (<2500 g), or IUGR (<10th percentile for gestational age). Of 862 reviewed studies, 29 US-published and non-US-published studies met the selection criteria.
DATA EXTRACTION Information was extracted on study characteristics, antenatal depression measurement, and other biopsychosocial risk factors and was reviewed twice to minimize error.
DATA SYNTHESIS Pooled relative risks (RRs) for the effect of antenatal depression on each birth outcome were calculated using random-effects methods. In studies of PTB, LBW, and IUGR that used a categorical depression measure, pooled effect sizes were significantly larger (pooled RR [95% confidence interval] = 1.39 [1.19-1.61], 1.49 [1.25-1.77], and 1.45 [1.05-2.02], respectively) compared with studies that used a continuous depression measure (1.03 [1.00-1.06], 1.04 [0.99-1.09], and 1.02 [1.00-1.04], respectively). The estimates of risk for categorically defined antenatal depression and PTB and LBW remained significant when the trim-and-fill procedure was used to correct for publication bias. The risk of LBW associated with antenatal depression was significantly larger in developing countries (RR = 2.05; 95% confidence interval, 1.43-2.93) compared with the United States (RR = 1.10; 95% confidence interval, 1.01-1.21) or European social democracies (RR = 1.16; 95% confidence interval, 0.92-1.47). Categorically defined antenatal depression tended to be associated with an increased risk of PTB among women of lower socioeconomic status in the United States.
CONCLUSIONS Women with depression during pregnancy are at increased risk for PTB and LBW, although the magnitude of the effect varies as a function of depression measurement, country location, and US socioeconomic status. An important implication of these findings is that antenatal depression should be identified through universal screening and treated.. Title: MicroRNA-192 in diabetic kidney glomeruli and its function in TGF-beta-induced collagen expression via inhibition of E-box repressors.
Solution: | no | 8 | NIv2 | task1587_scifact_classification | zs_opt | [
0.15141414105892181,
-0.5280829668045044,
-0.5622891187667847,
0.1283244788646698,
0.42663300037384033,
0.5369298458099365,
0.844573974609375,
0.8820946216583252,
-0.19544467329978943,
0.3743513822555542,
-0.7075639367103577,
0.8545269966125488,
-0.9250156879425049,
0.7069114446640015,
-... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Input: لكنني لاحظت أن هذا الأمر ليس صحيحا.
Output: | Ma ho anche notato che non stava funzionando. | 2 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
0.1292479932308197,
0.5659879446029663,
-0.7297544479370117,
-0.10822679847478867,
-0.7943547964096069,
-0.4305127263069153,
0.28432589769363403,
0.6361292600631714,
0.24364963173866272,
-0.35143643617630005,
-0.731300950050354,
-0.1009238064289093,
-0.32794278860092163,
0.1203978359699249... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and report that option.
From a pack of 52 cards, two cards are drawn together at random. What is the probability of both the cards being kings?
Option A:2/1223
Option B: 1/122
Option C: 1/221
Option D: 3/1253
Option E: 2/153
Solution: Option C
Why? Let s be the sample space.
Then n(s) = 52C2 = 1326
E = event of getting 2 kings out of 4
n(E) = 4C2 = 6
P(E) = 6/1326 = 1/221
New input: Question: Peter invests a sum of money and gets back an amount of $ 830 in 3 years . David invests an equal amount of money and gets an amount of $854 in 4 years. If both amounts were invested at the same rate (simple interest ) What was the sum of money invested ?
Option A: 670
Option B: 664
Option C: 698
Option D: 758
Option E: 700
Solution: | Option D | 0 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.3366185426712036,
0.4561672806739807,
-0.5160547494888306,
-0.8613119721412659,
-0.06521707773208618,
0.21620497107505798,
0.7710692882537842,
0.6031159162521362,
-0.017917407676577568,
-0.23491469025611877,
-0.2837144732475281,
0.3616396188735962,
-0.1522175669670105,
-0.612103819847106... |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: 一方、モルドバの首相ヴァシレ・タルレフ氏は木曜日、沿ドニエストルにいるロシア兵がチェチェン地域に兵器を供給したことを糾弾し、それに対しロシアの国防大臣セルゲイ・イワノフ氏は彼がモルドバのロシア基地に向けて「自分の首をかけてもいい」とし、「沿ドニエストルから兵器は何も送られていない」と確言した。
Khamer: ម្យ៉ាងទៀតនាយករដ្ឋមន្រ្តីវ៉ាសៀលថាលេវរបស់ម៉ូដូវ៉ានបានចោទកងទាហានរុស្សីកាលពីថ្ងៃព្រហស្បត៏នៅត្រេនស្នីស្រ្ថីននៃការផ្គត់ផ្គង់អាវុធទៅកាន់តំបន់ឆឺឆឺននៅក្នុងការឆ្លើយតបរដ្ឋមន្រ្តីការពារជាតិរុស្សីសីហ្កីអ៊ីវ៉ានូវបាននិយាយថាគាត់"ធានាដោយក្បាលរបស់គាត់"សំរាប់មូលដ្ឋានរុស្សីនៅម៉ូដូវ៉ានិងបានចោទថា"គ្មានអាវុធមកពីត្រេនស្នីស្ថ្រីនត្រូវបានបញ្ចូនទេ។"
A: Yes
****
Q: Japanese: 彼は、「人々ははしかや破傷風、コレラといった病気から保護されるための注射を与えられている」と付け加えた。
Khamer: គាត់បានបន្ថែមថាមនុស្សត្រូវបានផ្ដល់អោយនូវការចាក់ថ្នាំក្នុងការការពារពួកគេពីជម្ងឺដូចជារោគកញ្រ្ជិលជម្ងឺតេតាណូសនិងអាសន្នរោគ។
A: Yes
****
Q: Japanese: 「運転手は停止を求める複数の警告に従わず、内部のカナダバリケードに向かって行った。」
Khamer: "អ្នកបើកបរមិនយកចិត្តទុកដាក់ក្នុងការព្រមានឲ្យឈប់ តែគាត់នៅតែបើកទៅមុខ ឆ្ពោះទៅក្នុងទឹកដីរបស់ប្រទេសកាណាដា។"
A: | Yes
****
| 4 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
0.42981889843940735,
-0.3995858430862427,
0.08742981404066086,
-0.2708553969860077,
0.5582876205444336,
-0.5680949091911316,
0.5366393327713013,
0.6971583366394043,
-0.20309153199195862,
-0.05767292156815529,
0.08599162846803665,
0.3094484210014343,
-0.7823470234870911,
0.42383694648742676... |
You will be given a definition of a task first, then some input of the task.
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'.
Dialogue 1: 'girlfriend left me and want way once a cheater always a cheater loudlycryingfaceloudlycryingfaceloudlycryingfaceloudlycryingfaceloudlycryingface'. Dialogue 2: 'i meant that i watch movies in these languages tell ur best movies among these dear recent fav is black panther'.
Output: | no | 1 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-0.816795825958252,
0.22101914882659912,
0.06463776528835297,
-0.22753861546516418,
-0.15383468568325043,
0.4307258427143097,
0.8437893390655518,
-0.01417694054543972,
0.09113913774490356,
-0.053775206208229065,
0.08239957690238953,
-0.7882323861122131,
-0.41443753242492676,
0.175088346004... |
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
For the price this case is very nice. I find it a bit awkward to hold even while putting my hand it the strap. | nice | 0 | NIv2 | task1342_amazon_us_reviews_title | zs_opt | [
-0.3497324287891388,
0.24842704832553864,
-0.32447245717048645,
-0.12017099559307098,
0.16044239699840546,
-0.48878729343414307,
0.4206031262874603,
0.4432401657104492,
0.12001439929008484,
1.114434003829956,
-0.16585931181907654,
0.5340666770935059,
-0.6453397274017334,
0.0334797352552413... |
Detailed Instructions: In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
See one example below:
Problem: Sentence-1: I'm looking forward to it.<sep>Sentence-2: I did hear about the event next week .
Solution: Yes
Explanation: We need to check if the answer is yes or no based on the given sentence-1 and sentence-2. Both the sentences give the same meaning, and so the output is a yes.
Problem: Sentence-1: Just these brains.<sep>Sentence-2: My job does have a special skill required .
Solution: | Yes | 4 | NIv2 | task566_circa_classification | fs_opt | [
-0.5940650701522827,
0.18291962146759033,
0.2985004186630249,
0.007604565471410751,
-0.22381451725959778,
-0.6937158703804016,
0.675862729549408,
0.8730827569961548,
0.5582301616668701,
0.0037495498545467854,
-0.47072896361351013,
-0.14530326426029205,
-0.4118309020996094,
0.12081210315227... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Q: Sentence 1: Loosening his hold of me, he mechanically straightened a pair of candlesticks, still murmuring to himself: "Yes, that alters everything ”everything." Suddenly he seemed to come to a decision. Sentence 2: There are 2 straightened candlesticks.
A: fiction
****
Q: Sentence 1: yeah good talking to you too Don Sentence 2: Yes, it was a pleasure talking to you Don.
A: telephone
****
Q: Sentence 1: If you want more serious entertainment, this is not the place for you. Sentence 2: There are other places that offer serious entertainment.
A: | travel
****
| 4 | NIv2 | task197_mnli_domain_answer_generation | fs_opt | [
-0.8310925960540771,
0.46934032440185547,
0.3912000060081482,
-0.7589777708053589,
0.21744735538959503,
-0.09839095920324326,
-0.07322490960359573,
0.6156823039054871,
0.2002064734697342,
-0.20055070519447327,
-0.5292203426361084,
-0.4394815266132355,
-0.5237857103347778,
-0.39137524366378... |
Definition: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens after the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX calls customer service<sep>Tail: PersonX breaks PersonX's computer
Output: | Yes | 2 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
0.10804054141044617,
0.2311612367630005,
0.026406753808259964,
-0.08358919620513916,
-0.5636286735534668,
-0.5369863510131836,
1.3889861106872559,
0.12746770679950714,
-0.18349498510360718,
-0.36155030131340027,
-0.21309340000152588,
-0.4037354290485382,
-0.5670657753944397,
0.236233502626... |
Teacher: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'.
Teacher: Now, understand the problem? Solve this instance: Text one: However, the term font is also often used as a metonym for typeface.
Text two: The term font is an often used word for typeface.
Student: | Text two | 6 | NIv2 | task112_asset_simple_sentence_identification | zs_opt | [
-0.8502312898635864,
0.44358283281326294,
0.4584686756134033,
-0.5275872945785522,
0.2770962715148926,
-0.7241051197052002,
0.29513832926750183,
0.9270791411399841,
0.22300225496292114,
-0.5164351463317871,
0.12436655908823013,
-0.3305203914642334,
-0.4065472483634949,
-0.27021148800849915... |
Detailed Instructions: In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the question has to be about both objects which are related but different; for example, "trophy" and "suitcase". This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "small" to "big"). You should not change any content in the given question beyond a word or two, i.e., the trigger word/phrase. The expected answer to your question must not be associated with just the trigger word; instead, it should depend on the context present in the question. The expected answer should not be ambiguous. For your question, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. In your generated question, retain the object names from the input question. Avoid repeating the same style or phrase in generating your modified question e.g. this task can be always solved using a simple negation i.e. by adding not, never, etc. Instead, try to increase the word diversity. Your question must contain at least 15 and at most 30 words. Your question must have at least 70% overlapping words with the given question. You must utilize the given context word while writing the question. Your question must contain only one blank. The two objects should be used ONCE in your question. Here is a list of attributes and associated contrastive words that may help write contrastive trigger words. Note that contrastive trigger words help in flipping the label.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
Q: Context Word: bargain.
Question: The chair at the shop was a better bargain than the table because the price on the _ was marked lower.
Answer: chair.
A: | The chair at the shop was a better bargain than the table because the price on the _ was marked higher. | 9 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.7743995189666748,
0.19194325804710388,
0.032161079347133636,
-0.28990989923477173,
0.5975263118743896,
-0.6470791101455688,
0.892427921295166,
0.9213042855262756,
-0.660679042339325,
-0.25475555658340454,
-0.24568308889865875,
0.27735549211502075,
-0.4676792621612549,
0.15632981061935425... |
Teacher:Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Teacher: Now, understand the problem? Solve this instance: Tweet: @anonymized_account @anonymized_account Moze był przeciąg w szpitalu i go rozwiało i nie ma co pokazać. , Question: Does the tweet contain cyberbullying (harmful) content?
Student: | No | 6 | NIv2 | task839_cdt_classification | zs_opt | [
-0.9257044792175293,
0.7836973071098328,
0.49475157260894775,
0.3657728135585785,
-0.599777102470398,
-1.2740085124969482,
0.3238621652126312,
0.055057935416698456,
0.5433386564254761,
0.3293910026550293,
0.017714504152536392,
0.18543657660484314,
-0.2320880889892578,
-0.39649662375450134,... |
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: x is able to do a piece of work in 14 days and y can do the same work in 20 days . if they can work together for 5 days , what is the fraction of work completed ?
Options: a ) 15 / 28 , b ) 17 / 28 , c ) 13 / 28 , d ) 19 / 28 , e ) 11 / 28
Solution: | b | 6 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.7547459006309509,
0.22524845600128174,
-0.176881805062294,
0.3791388273239136,
-0.1957169771194458,
-0.3355386257171631,
0.5163824558258057,
0.9372659921646118,
-0.34729504585266113,
-0.1676197052001953,
-0.9747313261032104,
-0.019668234512209892,
0.24384470283985138,
-0.2035417258739471... |
instruction:
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
question:
['hi', 'everyone', 'welcome', 'to', 'the', 'daily', 'homeroom', 'livestream', 'which', 'is', 'something', 'that', 'all', 'of', 'us', 'at', 'Khan', 'Academy', 'started', 'up', 'once', 'we', 'started', 'having', 'mass', 'school', 'physical', 'closures', 'I', 'should', 'say', 'many', 'seems', 'like', 'a', 'lifetime', 'ago', 'is', 'just', 'a', 'way', 'to', 'keep', 'in', 'touch', 'have', 'interesting', 'conversations', 'and', 'understand', "what's", 'happening', 'in', 'the', 'world', 'around', 'us', 'in', 'education', 'and', 'beyond', 'before', 'we', 'get', 'into', 'the', 'conversation', 'with', 'a', 'very', 'exciting', 'guest', 'today', 'I', 'always', 'give', 'the', 'reminder', 'to', 'folks', 'that', 'Khan', 'Academy', 'is', 'a', 'not-for-profit', 'organization', 'with', 'a', 'mission', 'of', 'providing', 'a', 'free', 'world-class', 'education', 'for', 'anyone', 'anywhere', 'and']
answer:
['hi', 'everyone', 'welcome', 'to', 'the', 'daily', 'homeroom', 'livestream', 'which', 'is', 'something', 'that', 'all', 'of', 'us', 'at', 'Khan', 'Academy', 'started', 'up', 'once', 'we', 'started', 'having', 'mass', 'school,', 'physical', 'closures,', 'I', 'should', 'say', 'many', 'seems', 'like', 'a', 'lifetime', 'ago,', "it's", 'just', 'a', 'way', 'to', 'keep', 'in', 'touch,', 'have', 'interesting', 'conversations,', 'and', 'understand', "what's", 'happening', 'in', 'the', 'world', 'around', 'us', 'in', 'education', 'and', 'beyond.', 'Before', 'we', 'get', 'into', 'the', 'conversation', 'with', 'a', 'very', 'exciting', 'guest', 'today,', 'I', 'always', 'give', 'the', 'reminder', 'to', 'folks', 'that', 'Khan', 'Academy', 'is', 'a', 'not-for-profit', 'organization', 'with', 'the', 'mission', 'of', 'providing', 'a', 'free', 'world-class', 'education', 'for', 'anyone,', 'anywhere.', 'And']
question:
['in', 'the', 'last', 'video', 'we', 'took', 'a', 'stab', 'at', 'modeling', 'population', 'is', 'a', 'function', 'of', 'time', 'and', 'we', 'said', 'okay', 'well', 'maybe', 'the', 'rate', 'of', 'change', 'of', 'population', 'with', 'respect', 'to', 'time', 'is', 'going', 'to', 'be', 'proportional', 'to', 'the', 'population', 'itself', 'that', 'that', 'rate', 'will', 'increase', 'as', 'the', 'population', 'increases', 'and', 'when', 'you', 'actually', 'try', 'to', 'solve', 'this', 'differential', 'equation', 'you', 'try', 'to', 'find', 'an', 'n', 'of', 'T', 'that', 'satisfies', 'this', 'we', 'found', 'that', 'an', 'exponential', 'would', 'work', 'and', 'exponential', 'satisfies', 'this', 'differential', 'equation', 'and', 'it', 'would', 'look', 'like', 'this', 'visually', 'it', 'would', 'look', 'like', 'this', 'it', 'would', 'look', 'like']
answer:
['In', 'the', 'last', 'video,', 'we', 'took', 'a', 'stab', 'at', 'modeling', 'population', 'as', 'a', 'function', 'of', 'time.', 'And', 'we', 'said,', 'okay,', 'well', 'maybe', 'the', 'rate', 'of', 'change', 'of', 'population', 'with', 'respect', 'to', 'time', 'is', 'going', 'to', 'be', 'proportional', 'to', 'the', 'population', 'itself.', 'That', 'the', 'rate', 'will', 'increase', 'as', 'the', 'population', 'increases.', 'And', 'when', 'you', 'actually', 'try', 'to', 'solve', 'this', 'differential', 'equation,', 'you', 'try', 'to', 'find', 'an', 'N', 'of', 'T', 'that', 'satisfies', 'this,', 'we', 'found', 'that', 'an', 'exponential', 'would', 'work.', 'An', 'exponential', 'satisfies', 'this', 'differential', 'equation.', 'And', 'it', 'would', 'look', 'like', 'this', 'visually.', 'It', 'would', 'look', 'like', 'this,', 'it', 'would', 'look', 'like']
question:
["let's", 'say', 'that', 'I', 'have', 'a', 'ramp', 'made', 'of', 'ice', 'sake', 'maybe', 'a', 'wedge', 'or', 'some', 'type', 'of', 'an', 'inclined', 'plane', 'made', 'of', 'ice', 'and', 'make', 'everything', 'of', 'ice', 'in', 'this', 'video', 'so', '', 'we', 'have', 'negligible', 'friction', 'so', 'this', 'right', 'here', 'is', 'my', 'ramp', "it's", 'made', 'of', 'ice', 'and', 'this', 'angle', 'right', 'over', 'here', "let's", 'just', 'go', 'with', '30', 'degrees', 'and', "let's", 'say', 'on', 'this', 'ramp', 'made', 'of', 'ice', 'I', 'have', 'another', 'block', 'of', 'ice', 'so', 'this', 'is', 'a', 'block', 'of', 'ice', 'it', 'is', 'a', 'block', 'of', 'ice', "it's", 'shiny', 'like', 'ice', 'is', 'shiny', 'and', 'it', 'has', 'a', 'mass']
answer:
| ["Let's", 'say', 'that', 'I', 'have', 'a', 'ramp', 'made', 'of', 'ice', 'sake', 'maybe', 'a', 'wedge', 'or', 'some', 'type', 'of', 'an', 'inclined', 'plane', 'made', 'of', 'ice', 'and', 'make', 'everything', 'of', 'ice', 'in', 'this', 'video', 'so', '', 'we', 'have', 'negligible', 'friction.', 'So', 'this', 'right', 'here', 'is', 'my', 'ramp.', "It's", 'made', 'of', 'ice.', 'And', 'this', 'angle', 'right', 'over', 'here,', "let's", 'just', 'go', 'with', '30', 'degrees.', 'And', "let's", 'say', 'on', 'this', 'ramp', 'made', 'of', 'ice,', 'I', 'have', 'another', 'block', 'of', 'ice.', 'So', 'this', 'is', 'a', 'block', 'of', 'ice.', 'It', 'is', 'a', 'block', 'of', 'ice,', "it's", 'shiny', 'like', 'ice', 'is', 'shiny.', 'And', 'it', 'has', 'a', 'mass']
| 9 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | fs_opt | [
1.05867600440979,
-0.040601931512355804,
-0.09384001791477203,
-0.1358526647090912,
0.33776941895484924,
-1.2068912982940674,
0.21480876207351685,
0.7800099849700928,
-0.6700072288513184,
0.38155654072761536,
-0.21066191792488098,
-0.06590743362903595,
-0.09031648933887482,
-0.075947597622... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY or others will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. For example, X may get hugged, and Y may blush in response. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
--------
Question: Head: PersonX leads to PersonY understanding<sep>Tail: open mindedness
Answer: Yes
Question: Head: PersonX applies to medical school<sep>Tail: to be a medical doctor
Answer: No
Question: Head: PersonX accepts the invitation<sep>Tail: to have received an invitation
Answer: | No
| 7 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
1.0676990747451782,
-0.41969698667526245,
0.13348683714866638,
-0.30571749806404114,
-0.10270929336547852,
-0.9941632747650146,
1.192803978919983,
0.4740949273109436,
-0.6949623823165894,
-0.18744462728500366,
-0.4327196478843689,
0.1967029571533203,
-0.4127061367034912,
0.2227973639965057... |
A text is given in English. Translate it from the English language to the Gujarati language. The translation must not omit or add information to the original sentence.
Example input: Indias growth story is not only good for the people of India but also for the entire world
Example output: ભારતની વૃદ્ધિની વાર્તા ફક્ત ભારતના લોકો માટે જ નહીં પણ સમગ્ર વિશ્વ માટે પણ સારી છે
Example explanation: Correct translation for given sentence. Input sentence means 'India's growth story is not only good for the people of India but also for the entire world' which is the same as the output sentence.
Q: He said that youth of the nation has an important role to play in charting a New India.
A: | તેમણે કહ્યું હતું કે, દેશનાં યુવાનો ન્યૂ ઇન્ડિયાનાં નિર્માણમાં મહત્ત્વપૂર્ણ ભૂમિકા ભજવે છે. | 3 | NIv2 | task1079_pib_translation_english_gujarati | fs_opt | [
-0.8954119682312012,
0.5940530896186829,
-0.16685450077056885,
-0.1656895875930786,
-0.265348345041275,
-1.5058913230895996,
0.36297696828842163,
0.1953948438167572,
-0.13953740894794464,
-0.08212301880121231,
-0.7430547475814819,
0.15015637874603271,
-0.7092286348342896,
-0.03013478592038... |
Instructions: 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.
Input: As social media users expressed alarm over United States President Donald Trump’s administration’s apparent efforts to sabotage the U.S. Postal Service (USPS), one Twitter user’s suggestion caught traction on August 14 2020.That account wrote:Heard this from a postal worker- IF you return your ballot BUT place 2 First Class stamps on it (instead of the business reply free postage provided) the USPS MUST deliver your letter AS First Class BECAUSE you PAID for First Class! It CANNOT be put into Bulk Mail! DO IT!A spokesperson for the Portland, Oregon chapter of the American Postal Workers Union — which represents more than 200,000 current and retired USPS workers — confirmed to us that using one first-class stamp would be enough to ensure that a mail-in ballot would be sorted individually.“One 55-cent stamp will get it where it’s supposed to go,” she said.For some voters, the issue could be moot; a USPS staffer told us that because state and local election boards have the ability to design their own ballots and election materials, some boards may already be paying for them to have them classified as first-class mail.The USPS has urged voters to use first-class mail “or an expedited level of service” to send their ballots in, and to be clear on the submission requirements for their local jurisdictions. An agency spokesperson told the Salt Lake City Tribune in a statement:The Postal Service recommends that domestic, nonmilitary voters mail their ballots at least one week prior to their state’s due date to allow for timely receipt by election officials.The Los Angeles Times reported that there is a difference in processing times between regular mail-in ballots and first class mail:Election officials typically use marketing mail (or nonprofit bulk) to send out ballots, which is cheaper than using first class mail. The delivery timelines, however, are different: Marketing mail takes three to 10 days, while first class mail is delivered in two to five days. The postal service has traditionally treated election mail with priority, even if it’s not sent first class.But USPS General Counsel Thomas Marshall implied in letters to election officials that marketing mail delivery standards would be enforced for election mail.“Using Marketing Mail will result in slower delivery times and will increase the risk that voters will not receive their ballots in time to return them by mail,” Marshall wrote in language later repeated in [a USPS] statement.Democratic Party Sen. Chuck Schumer, though, has accused the USPS of price-gouging voters.“The postal service has informed some states they may need to pay a first class rate to deliver ballots rather than the normal rate, nearly tripling the cost at a time when people will have to vote by mail in record numbers because they can’t or won’t go vote in person,” he wrote on August 11, 2020. “This would be an outrageous policy that should alarm every American. Democrats will fight this with every tool at our disposal.”According to the Washington Post, the agency also sent letters to 46 states and the District of Columbia informing them that it could not guarantee that ballots sent by mail would arrive in time to be counted for the November 3 2020 general election:Some states anticipate 10 times the normal volume of election mail. Six states and D.C. received warnings that ballots could be delayed for a narrow set of voters. But the Postal Service gave 40 others — including the key battleground states of Michigan, Pennsylvania and Florida — more-serious warnings that their long-standing deadlines for requesting, returning or counting ballots were “incongruous” with mail service and that voters who send ballots in close to those deadlines may become disenfranchised.The only states to not receive the warnings from USPS were Nevada, New Mexico, Oregon, and Rhode Island.The Twitter post was shared more than 8,000 times on the platform amid escalating concerns over the United States Postal Service’s autonomy and ability to handle voting by mail amid the COVID-19 pandemic following the appointment of Louis DeJoy — a fundraiser for Trump — as Postmaster General in June 2020. Hours after the tweet began spreading online, CNN reported that the agency’s inspector general launched an investigation into DeJoy’s actions since taking the position, in response to calls by Democratic Sen. Elizabeth Warren.The Massachusetts lawmaker had asked the inspector general to investigate not just DeJoy’s new policies for the USPS but whether he had “met all ethics requirements.” DeJoy reportedly still owns a $30 million stake in a separate company that is a USPS contractor and bought stock in Amazon, which operates a delivery service that competes with the agency.Criticism of DeJoy intensified following reports of several mailboxes being removed from use in Portland, Oregon (which the USPS attributed to an overall decline in outgoing mail) and the decommissioning and dismantling of 671 mail-sorting machines around the U.S., which the Post reported had the capacity to sort a combined 21.4 million pieces of paper mail per hour.The American Postal Workers Union, which represents more than 200,000 current and retired USPS employees, filed a grievance over the scuttling of the sorting machines. But union president Mark Dimondstein expressed confidence to the newspaper that his colleagues could still handle the expected surge in mail-in voting in November.“Piece of cake for postal workers,” he said.DeJoy released a statement on August 18 2020 saying that he would suspend what he called “longstanding operational initiatives” that had raised concern from the public until after the election.“I want to assure all Americans of the following: Retail hours at Post Offices will not change,” the statement read. “Mail processing equipment and blue collection boxes will remain where they are. No mail processing facilities will be closed. And we reassert that overtime has, and will continue to be, approved as needed.”But the skepticism toward DeJoy did not subside; a day after the USPS posted his statement, WOOD-TV in Michigan reported that mail sorting machines inside the agency’s office in downtown Grand Rapids were being dismantled per an order from him.Internal sources say mail sorting machines are being dismantled at downtown GR post office. Process started yesterday. Order came from Postmaster General DeJoy. @WOODTV pic.twitter.com/tNm9pXjcnU— Heather Walker (@_HeatherWalker) August 19, 2020Three hours after their initial report, WOOD said that the dismantling had stopped.That same day, House Speaker Nancy Pelosi released a statement criticizing DeJoy for not reversing course on the actions he had already taken since taking over the USPS.“The Postmaster General frankly admitted that he had no intention of replacing the sorting machines, blue mailboxes and other key mail infrastructure that have been removed and that plans for adequate overtime, which is critical for the timely delivery of mail, are not in the works,” Pelosi said. “All of these changes directly jeopardize the election and disproportionately threaten to disenfranchise voters in communities of color. At the same time, we are highly concerned that the slowdown of the delivery of medicines to veterans is not being sufficiently addressed.”Trump himself admitted in a Fox News interview that his administration was holding up an agreement with Democratic Party lawmakers over a new stimulus package over the inclusion of $3.5 billion in USPS funding.“They need that money in order to make the post office work so it can take all of these millions and millions of ballots,” he said. “Now, if we don’t make a deal, that means they don’t get the money. That means they can’t have universal mail-in voting, they just can’t have it.”Did Trump Say That Without a Deal ‘They Can’t Have Universal Mail-in Voting, They Just Can’t Have It’?The suggestion to use first-class mail also gained visibility following the spread of similar posts (presented as “an inside tip from a postal worker”) urged voters to personally take their ballots to their local election boards or polling sites:‘Don’t Mail Ballots In, Drop at Board of Elections, This is an Inside Tip from a Postal Worker, Can’t Say More than That’Trump has repeatedly claimed — entirely falsely — that mail-in voting would lead to a “rigged” election. But both he and First Lady Melania Trump used absentee ballots to vote by mail in Florida. At least fifteen other officials in his administration have done the same.Update August 19, 2020 1:27 p.m. PST: Updated with notes on additional mail sorting machine scuttling and statements from Louis DeJoy and House Speaker Nancy Pelosi.Comments
Output: | Mail-in voters in the United States can send their ballots with first-class postage to ensure that it is delivered on time before the November 3 2020 election. | 3 | NIv2 | task1368_healthfact_sentence_generation | zs_opt | [
0.14439991116523743,
0.2015107125043869,
-0.0337841659784317,
-0.3504553437232971,
0.757483720779419,
-0.5097202658653259,
0.4303455054759979,
0.48342570662498474,
-0.9432048797607422,
0.08260737359523773,
0.113475501537323,
0.776282548904419,
0.4356362223625183,
-0.40698137879371643,
-0... |
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Input: Consider Input: It works and is half the price of the exact same product at Costco. What more could you ask? I have ordered several of these just to have extras for backup.
Output: Positive Review
Input: Consider Input: The moment I started to use this mouse at work, it felt right. I run from meeting to meeting all day long at work, and back to my desk to plug into the docking station, so my laptop is constantly on the move. I left the receiver plugged in, and I use the switch on the back of the mouse to turn it off and on. I love the look and easy clean-up. Tons of my meetings run through lunch, so I eat and work. After I'm done, I just wipe the crumbs off the mouse, and off I go. With a click wheel, the clean-up is maddening. The weight is fantastic, the shape is great. The surface of the mouse is so smooth. Click action is quick, the scrolling works perfectly, I never had a problem, or a skip or any issue.
Output: Positive Review
Input: Consider Input: It seems like this toilet paper goes like water in a desert. Considering we are hardly home and I generally buy toilet paper once a month this was quite a shock. We were going through about one full roll a day! The paper is not very absorbent and it seems like you need more than a normal roll to do the job. I think I will go back to my regular brand.
| Output: Negative Review
| 2 | NIv2 | task1343_amazon_us_reviews_rating | fs_opt | [
-0.08140268921852112,
-0.0032407541293650866,
-1.055284023284912,
-0.010692344047129154,
0.5126596093177795,
-0.5288896560668945,
0.21160888671875,
0.5536661148071289,
1.0723837614059448,
0.49710026383399963,
0.49196112155914307,
0.40510380268096924,
-0.00251663476228714,
-0.61995577812194... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
הלכתי ופגשתי את אחיו ואביו ואמרתי, "" אנחנו נמסור לכם את הכסף הזה. | So I went and met with his brother and father and said, "" We're going to give you this money. | 0 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.1679854691028595,
0.5588124990463257,
0.07403895258903503,
0.04382310062646866,
-0.8272815942764282,
0.06449808925390244,
0.5381786823272705,
0.18888208270072937,
1.2175151109695435,
-0.46228164434432983,
0.029638906940817833,
0.5241689682006836,
-0.9756405353546143,
0.18495947122573853... |
Teacher: In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Context: Tracy didn't go home that evening and resisted Riley's attacks.
Question: What does Tracy need to do before this?
Options: (A) make a new plan (B) Go home and see Riley (C) Find somewhere to go
Answer: C
Solution: Yes
Reason: Tracy finds somewhere to go and didn't come home because she has to resist Riley's attacks. So, C is the correct answer.
Now, solve this instance: Context: Jordan gave Casey an example when explaining a complex concept at work.
Question: How would you describe Jordan?
Options: (A) ambitious (B) scheming (C) knowledgeable
Answer: C
Student: | No | 2 | NIv2 | task579_socialiqa_classification | fs_opt | [
0.13925641775131226,
0.22488893568515778,
0.4089322090148926,
0.09524412453174591,
0.0201761145144701,
-0.5349613428115845,
0.35771095752716064,
0.6181935667991638,
0.2718239426612854,
0.4749096632003784,
0.14794041216373444,
-0.07130341231822968,
0.019882358610630035,
-0.6901407837867737,... |
Teacher: In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the first element in the list will be subtracted by one. For every element in the list you need to find "element - index" where the index of the beginning element is 1 and increments by 1 for each element. Put your result list in brackets.
Teacher: Now, understand the problem? If you are still confused, see the following example:
[9,-6,-10,4,-8]
Solution: [8,-8,-13,0,-13]
Reason: Every element in the output list is equal to the element in the input list subtracted by its index. 9 - 1 = 8, -6 - 2 = -8, -10 - 3 = -13, 4-4 = 0, -8 -5 = -13. This is a good example.
Now, solve this instance: [-10, 16, 3, 7, 7, 13, -9]
Student: | [-11, 14, 0, 3, 2, 7, -16] | 2 | NIv2 | task096_conala_list_index_subtraction | fs_opt | [
0.2780854403972626,
0.02941613271832466,
-0.8376781940460205,
-0.35703346133232117,
0.0913248360157013,
-0.5395985245704651,
1.0699667930603027,
0.9080904722213745,
-0.4351254105567932,
0.02854328043758869,
-0.3829243779182434,
-0.5027125477790833,
-0.39090368151664734,
-0.5539718270301819... |
In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "woman" and "man".
M: I'm really glad our club decided to raise money for the children's hospital. And most of the people we phoned seemed happy to contribute. W: Yeah! I agree. Now that we've gone through all the numbers on our list, I guess we can call it a day.
What do we learn about the speakers? (A) They seem satisfied with what they have done. (B) They have called all club members to contribute. (C) They think the day can be called a memorable one.
W: Goodbye, Tom. And please remember me to your parents. M: Sure I'll. Thank you very much. Bye.
What did the woman ask the man to do? (A) To give her some presents. (B) To give her his parents. (C) To give her regards to his parents.
F: Don't you think the radio is too noisy? M: Yes, ask Lucy to turn it down.
| What will they ask Lucy to do? (A) To turn on the radio. (B) To turn off the radio. (C) To turn down the radio.
| 0 | NIv2 | task246_dream_question_generation | fs_opt | [
0.1875450611114502,
0.5200066566467285,
-0.3773077726364136,
-0.22001200914382935,
0.08608123660087585,
-0.49045541882514954,
0.9962332248687744,
0.4688904285430908,
0.37704360485076904,
-0.12091472744941711,
-0.5922256708145142,
0.5169315338134766,
-0.10129888355731964,
-0.393340319395065... |
Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Problem:Command: most_eq { all_rows ; result ; not nominated }, interpretation: for the result records of all rows , most of them fuzzily match to not nominated .
Solution: | yes | 8 | NIv2 | task211_logic2text_classification | zs_opt | [
-0.11712527275085449,
-0.23207491636276245,
-0.25231486558914185,
0.31081992387771606,
0.4620010256767273,
-0.3769221007823944,
0.0800454318523407,
0.44946223497390747,
0.23517854511737823,
-0.14964480698108673,
-0.28604990243911743,
0.23358510434627533,
0.14416106045246124,
0.366452217102... |
Given a sentence in the English language, translate it into the Nepali language.
Let me give you an example: Text: If the research problem is not clear then review of literature can help focus on the problem.
The answer to this example can be: अथवा शोध समस्याबारे स्पष्ट हुन सकिरहेको छैन भने साहित्यको अवलोकन र पुनरावलोकनले ध्यान केन्द्रित गर्न सहयोग गर्छ ।
Here is why: The translation from English to Nepali is correct
OK. solve this:
Text: It is not possible to introduce Newar solely based on their physical build.
Answer: | नेवारलाई शारीरीक बनौटको आधारमा मात्र चिनाउन सम्भव छैन ।
| 8 | NIv2 | task1514_flores_translation_entone | fs_opt | [
-0.6549451351165771,
0.4163782596588135,
0.1289229393005371,
-0.18559537827968597,
-0.12949569523334503,
-0.4618936777114868,
1.4694938659667969,
-0.11483268439769745,
0.32363003492355347,
-0.17495885491371155,
-0.001248726388439536,
-0.10241194069385529,
-1.0896905660629272,
0.59414023160... |
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
Input: Consider Input: Context: To determine the prevalence of fathers' attendance at pretest cancer genetic counseling sessions with mothers undergoing BRCA1/2 genetic testing for hereditary breast/ovarian cancer (HBOC) risk, and to identify psychosocial and other correlates of fathers' attendance.", 'One hundred and twenty-one fathers of minor-age children who were spouses/partners of women (mothers) undergoing such counseling and testing were recruited, completed a behavioral self-report survey, and provided data about their sociodemographic backgrounds, father-child cancer communication histories, parenting relationship quality, and information-seeking and perceived knowledge.', 'A total of 27.3% of fathers attended pretest cancer genetic counseling with mothers. Compared to fathers who did not attend pretest cancer genetic counseling, those who did had stronger parenting alliances with mothers, were more likely to have sought out information about BRCA1/2 testing, and felt more informed about testing. In an adjusted logistic regression model of session attendance, the strength of the parenting alliance was associated with a 6% increase in the likelihood of attending genetic counseling (odds ratio [OR]=1.06, 95% confidence interval [CI]=1.01, 1.12, p<.05) and greater perceived knowledge about BRCA1/2 testing was associated with a four-fold increase in the likelihood of session attendance (OR=4.03, CI=1.77, 9.37, p<.001).
Answer: One in three fathers attend pretest cancer genetic counseling with mothers undergoing BRCA1/2 testing; those who do have closer parenting relationships and are more informed about BRCA1/2 testing.
Output: Does prevalence and correlate of mothers and fathers attending pretest cancer genetic counseling together?
Input: Consider Input: Context: Preoperative neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) have prognostic value in patients with various operable tumors. The aim of our study was to determine whether NLR and PLR are predictive of survival in thymic carcinoma patients after complete resection.', 'A total of seventy-nine patients who underwent complete resection of thymic carcinoma at our hospital between January 2005 and December 2015 were retrospectively enrolled. Differential leukocyte counts were collected before surgery, and the relationships of NLR, PLR, and other patient clinical variables with survival were estimated by Cox regression analysis and Kaplan-Meier survival analysis.', 'Univariate analysis found that a high level of NLR was associated with lower disease-free survival (DFS) (HR: 3.385, 95% CI: 1.073-10.678, P=0.037) and lower overall survival (OS) (HR: 12.836, 95% CI: 1.615-101.990, P=0.016). The optimal NLR threshold of 4.1 could stratify the patients with high risk of recurrence or metastasis (P=0.026) and death (P=0.006). Meanwhile, the NLR value of >4.1 in those patients was associated with bigger tumor size (P=0.035) and more advanced Masaoka stages (P=0.040) compared with NLR ≤4.1. However, the PLR and other variables were not significantly associated with survival in thymic carcinoma patients.
Answer: The preoperative NLR of >4.1 was significantly associated with larger tumor size, more advanced Masaoka stages and reduced DFS and OS, but was not an independent predictor of survival in thymic carcinoma patients after complete resection.
Output: Is prognostic value of preoperative neutrophil-lymphocyte ratio superior to platelet-lymphocyte ratio for survival in patients who underwent complete resection of thymic carcinoma?
Input: Consider Input: Context: Rectal cancer has a higher risk of developing lung metastasis compared with colon cancer. It is unclear whether the prognosis after pulmonary metastasectomy for these distinct tumors is different.', 'Patients who underwent pulmonary metastasectomy for colorectal carcinoma were analyzed for survival and patterns of recurrence depending on the location of the primary colorectal cancer. Multivariate regression analysis was performed to identify clinical variables predictive of survival after pulmonary metastasectomy.', 'Between 1985 and 2012, 698 patients underwent pulmonary metastasectomy for metastatic colorectal cancer. Complete information was available in 626 patients. These patients were divided into groups based on whether the primary tumor was colon or rectal in origin. Median follow-up was 45.5 months (range, 23 to 287 months). There were no statistical differences between the two groups in terms of number of lung metastases, tumor size, or lymph node involvement. There was no difference in overall survival (p\xa0= 0.545). Five-year disease-free survival for colon cancer patients was 67.2% compared with 60.1% for rectal cancer (p\xa0= 0.004). The most common sites of recurrence after pulmonary metastasectomy were liver in colon cancer and lung in rectal cancer. Multivariate Cox proportional hazards analysis indicated that rectal cancer (hazard ratio, 1.39; 95% confidence interval, 1.07 to 1.83; p\xa0= 0.015) and multiple metastases (>3; hazard ratio, 1.41; 95% confidence interval, 1.04 to 1.89; p\xa0= 0.027) were independent adverse risk factors affecting disease-free survival after pulmonary metastasectomy.
Answer: Disease-free survival and site of recurrence after pulmonary metastasectomy for colorectal carcinoma are dependent on the site of the primary tumor. Lung metastases from rectal cancer have a worse disease-free survival compared with colon cancer. This may influence treatment and follow-up strategies.
| Output: Does the prognosis of pulmonary metastasectomy depend on the location of the primary colorectal cancer?
| 2 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.10885180532932281,
0.047941964119672775,
-0.26350459456443787,
0.26385313272476196,
0.5983450412750244,
-0.2282601296901703,
0.5267651081085205,
0.8567944169044495,
0.5226303339004517,
0.6280704140663147,
-0.6744060516357422,
0.5069849491119385,
-0.9001590013504028,
0.5827798247337341,
... |
Detailed Instructions: In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
See one example below:
Problem: He grew up in Evanston, Illinois the second oldest of five children including his brothers, Fred and Gordon and sisters, Marge (Peppy) and Marilyn. His high school days were spent at New Trier High School in Winnetka, Illinois. MacKenzie studied with Bernard Leach from 1949 to 1952. _His_ simple, wheel-thrown functional pottery is heavily influenced by the oriental aesthetic of Shoji Hamada and Kanjiro Kawai. <sep>, Pronoun: His <sep>, A: MacKenzie <sep>, B: Bernard Leach
Solution: A
Explanation: Based on the text, his refers to MacKenzie so option A is correct.
Problem: Sektor did not appear in the 1997 film Mortal Kombat: Annihilation, which instead saw Smoke utilizing his chest missiles during a fight scene with Liu Kang. He makes one appearance in the 2011 first season of director Kevin Tancharoen's Mortal Kombat: Legacy web series, and is played by Peter Shinkoda. In the ninth episode, _he_and Cyrax are first shown in their human forms, and are being trucked to a nondescript warehouse that serves as the Lin Kuei headquarters. <sep>, Pronoun: he <sep>, A: Kevin Tancharoen <sep>, B: Peter Shinkoda
Solution: | B | 4 | NIv2 | task329_gap_classification | fs_opt | [
0.08933986723423004,
0.07110650092363358,
0.11510886251926422,
-0.07372582703828812,
0.14555132389068604,
0.4556758999824524,
0.9018579125404358,
1.1713731288909912,
-0.08055846393108368,
0.3255017399787903,
0.00838406477123499,
0.011853227391839027,
-0.6708865165710449,
-0.097858712077140... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
この帰還は、国際宇宙ステーションでダン・タニと入れ替わったクレイ・アンダーソンをも連れ帰る。
Output: | การกลับมานั้นจะมี เคลย์ แอนเดอร์สัน เดินทางกลับมาด้วย ซึ่งเขาได้ไปประจำอยู่ที่สถานีอวกาศนานาชาติแทน แดน ทานี่ | 1 | NIv2 | task1127_alt_ja_th_translation | zs_opt | [
-0.31806403398513794,
0.09101447463035583,
-0.31847113370895386,
-0.6609057188034058,
-0.1442411243915558,
-0.5308108329772949,
0.6324329376220703,
0.3732127249240875,
-0.16001152992248535,
0.5538167953491211,
-0.15101832151412964,
0.42126762866973877,
-0.40447360277175903,
0.4013147354125... |
Given the task definition and input, reply with output. This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned in the passage
(ii) create questions which require information beyond what is provided in the passage in order to answer
(iii) replace an existing entity, number, date mentioned in the passage with other entity, number, date and use it in the question
(iv) create a question which is answerable from the passage and then replace one or two words by their antonyms or insert/remove negation words to make it unanswerable.
Passage: In many ancient civilizations, such as those of Egypt and Mesopotamia, architecture and urbanism reflected the constant engagement with the divine and the supernatural, and many ancient cultures resorted to monumentality in architecture to represent symbolically the political power of the ruler, the ruling elite, or the state itself.
| What civilizations didn't use the divine and supernatural in their architecture? | 5 | NIv2 | task348_squad2.0_unanswerable_question_generation | zs_opt | [
-0.40898770093917847,
0.9826031923294067,
0.14881563186645508,
0.09199469536542892,
-0.4106671214103699,
-0.36107543110847473,
1.0761463642120361,
0.5723340511322021,
-0.020012494176626205,
-0.07526735216379166,
-1.205579400062561,
0.2469434291124344,
-0.7117527723312378,
-0.16459202766418... |
Detailed Instructions: In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
Problem:How many hearts will he break ?
Solution: | Plural | 8 | NIv2 | task431_senteval_object_count | zs_opt | [
-0.728703498840332,
0.47198355197906494,
0.5814981460571289,
0.20160852372646332,
-0.15564489364624023,
-0.27158981561660767,
0.9775463938713074,
-0.613980770111084,
-0.43446874618530273,
-0.6511616110801697,
-0.19962434470653534,
0.013666571117937565,
-0.6639851331710815,
-0.1241213977336... |
Q: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether The Tail is the intention of the PersonX from the Head or not. The intention is the likely intent or desire of PersonX behind the execution of an event. For example, given the Head PersonX gives PersonY gifts, an intention might be that PersonX wanted to be thoughtful. 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 leaves ___ at night<sep>Tail: to go home
A: | Yes | 7 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.40328606963157654,
0.44193902611732483,
0.4146518111228943,
-0.04007664695382118,
-0.6822400689125061,
-0.9833470582962036,
1.3948428630828857,
0.2513432502746582,
-0.6813764572143555,
-0.34418463706970215,
-0.4797797203063965,
0.1733986735343933,
-0.9862716794013977,
0.3365112841129303,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
What did the library do besides protecting information during the war, Context: The overcrowded conditions of the library was one of the reasons why the RIBA moved from 9 Conduit Street to larger premises at 66 Portland Place in 1934. The library remained open throughout World War Two and was able to shelter the archives of Modernist architect Adolf Loos during the war.
Output: | The library remained open | 1 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.3505534827709198,
0.44394269585609436,
-0.3238828778266907,
0.6104279160499573,
-0.28829723596572876,
0.02337963692843914,
-0.09272032231092453,
0.2521268427371979,
1.0428466796875,
-0.054128266870975494,
-0.4063217043876648,
-0.16383199393749237,
-1.2605626583099365,
0.08286444842815399... |
Detailed Instructions: In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Problem:Close the Revolving Door Act of 2015 This bill amends the federal criminal code to impose a lifetime ban on any former Senator, Member of the House of Representatives, or elected officer of the Senate or House of Representatives lobbying any current Member, officer, or employee of Congress or any employee of any other legislative office. (Currently the ban is for two years after a Senator leaves office and one year after a Member of the House of Representatives leaves office). The ban is extended from one to six years for officers and employees of the Senate, personal staff of Members, committee staff, leadership staff, and other legislative offices. A registered lobbyist or agent of a foreign principal may not be hired for a six-year period by a Member of Congress or a congressional committee with which the lobbyist or agent has had a substantial lobbying contact. This bill also amends the Lobbying Disclosure Act of 1995 to: direct the Secretary of the Senate and the Clerk of the House of Representatives to maintain a joint lobbyist disclosure Internet database for information required to be publicly disclosed by that Act, require a substantial lobbying entity to file with Congress a list of each employee of, contractor with, or paid consultant to the substantial lobbying entity and who is a former Member of Congress or another highly-paid covered legislative branch official, and increase the civil penalty for violations of the disclosure or reporting requirements of such Act.
Solution: | Close the Revolving Door Act of 2015 | 8 | NIv2 | task1659_title_generation | zs_opt | [
-0.4825199246406555,
0.1369321346282959,
-0.5015206336975098,
0.8123670816421509,
0.43212783336639404,
-0.4716760814189911,
0.4315824508666992,
0.3429983854293823,
-0.22598306834697723,
0.5515496730804443,
0.6366931796073914,
0.37526780366897583,
-0.6714420318603516,
-0.2151450514793396,
... |
Instructions: Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur before t2, t1 occurs after t2, t1 doesn't occur after t2, t1 occurs between t2 and t3, t1 doesn't occur between t2 and t3, t1 occured before t2 but after t3, t1 occured after t2 but before t3, t1 didn't occur before t2 but after t3, t1 didn't occur after t2 but before t3'. The output should be either 'True' or 'False'.
Input: 21:32:49 occured before 10:17:14 but after 3:53:15
Output: | False | 3 | NIv2 | task1507_boolean_temporal_reasoning | zs_opt | [
-0.4274974465370178,
0.17460079491138458,
-0.7511180639266968,
0.8003109693527222,
-0.38575536012649536,
-0.6143136024475098,
-0.040612611919641495,
0.8473363518714905,
-0.7855797410011292,
-0.03340279310941696,
-0.6459076404571533,
-0.6091262102127075,
0.4283250570297241,
-0.5011680126190... |
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Let me give you an example: Timothy likes to play sports. He spends his time after school playing basketball and baseball. Sometimes Timothy pretends he is a famous baseball pitcher for his favorite team with his friends. He plays with his friends Mandy and Andrew. Timothy also plays pretend when he is alone. He has an imaginary friend named Sean. Sean is an elephant who watches television with Timothy. Mandy likes playing baseball but she also likes to paint. Mandy's favorite class at school is art. She likes making pictures of flowers. Her teacher says she is a good artist. She painted a picture of a tree for her teacher. There were red and yellow leaves on it. It had apples on it. When Andrew goes home after baseball, he likes to eat a snack. He eats carrots and bananas. If he is a good boy his mom, Mrs. Smith, sometimes gives him milk and cookies. Afterwards, Andrew finishes his homework. <sep>Who does Timothy play with?<sep>Basketball and baseball
The answer to this example can be: No
Here is why: Based on the passage Timothy plays with his friends Mandy and Andrew. So, the given answer is incorrect and the output should be "No".
OK. solve this:
As his car slid downtown on Tuesday morning the mind of Arnold Thorndike was occupied with such details of daily routine as the purchase of a railroad, the Japanese loan, the new wing to his art gallery, and an attack that morning, in his own newspaper, upon his pet trust. But his busy mind was not too occupied to return the salutes of the traffic policemen who cleared the way for him. Or, by some genius of memory, to recall the fact that it was on this morning young Spear was to be sentenced for theft. It was a charming morning. The spring was at full tide, and the air was sweet and clean. Mr. Thorndike considered whimsically that to send a man to jail with the memory of such a morning clinging to him was adding a year to his sentence. He regretted he had not given the probation officer a stronger letter. He remembered the young man now, and favorably. A shy, silent youth, deft in work, and at other times conscious and embarrassed. But that, on the part of a stenographer, in the presence of the Wisest Man in Wall Street, was not unnatural. On occasions, Mr. Thorndike had put even royalty— frayed, impecunious royalty, on the lookout for a loan—at its ease. The hood of the car was down, and the taste of the air, warmed by the sun, was grateful. It was at this time, a year before, that young Spear picked the spring flowers to take to his mother. A year from now where would young Spear be? It was characteristic of the great man to act quickly, so quickly that his friends declared he was a slave to impulse. It was these same impulses, leading so invariably to success, that made his enemies call him the Wisest Man. He leaned forward and touched the chauffeur's shoulder. "Stop at the Court of General Sessions," he commanded. What he proposed to do would take but a few minutes. A word, a personal word from him to the district attorney, or the judge, would be enough. <sep>What is the name of the shy, silent stenographer about to be put in jail for theft?<sep>Thorndike
Answer: | No | 8 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.4264332056045532,
0.2505280077457428,
-0.45515790581703186,
-0.13246428966522217,
0.4475821852684021,
-0.594734787940979,
0.9372010231018066,
0.8086920976638794,
0.34597620368003845,
-0.0540175661444664,
-0.13832184672355652,
0.4989369213581085,
-0.4966699481010437,
-0.008136936463415623... |
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting string. 'i' and 'j' will be non-negative, and will always have a value less than the length of A. 'i' will always be less than 'j'. Perform the operations in order, i.e., do not reverse first and then concatenate.
Example input: 1, 3, ['238', 'h', '92', 'U', '2799']
Example output: 29h832
Example explanation: Here, concatenating all the elements between the 1st element and 3rd element and then reversing the string gives '29h832'.
Q: 7, 13, ['1459', '6809', 'J', 'F', '6057', 'F', '3771', '9353', '5901', '8949', '4987', '8539', '1389', 'J', '7903']
A: | 9831935878949498109535391773 | 3 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
-0.04634205624461174,
0.17834337055683136,
-0.32565128803253174,
-0.3859052062034607,
-0.08506064116954803,
-0.11782146245241165,
0.3195909261703491,
0.0059607806615531445,
-0.5047316551208496,
-0.016349153593182564,
-1.2775051593780518,
0.08713468909263611,
0.1504255086183548,
-0.34877061... |
Given the task definition and input, reply with output. In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
[86, -99, 34, 1, -86, -12, 25, 80, 43, 5]
| 4 | 5 | NIv2 | task1445_closest_integers | zs_opt | [
-0.3922659158706665,
0.29816094040870667,
0.21400703489780426,
0.034408606588840485,
-0.08002153784036636,
0.021546505391597748,
0.24308955669403076,
0.10587598383426666,
0.3117944896221161,
0.022764652967453003,
-0.523231029510498,
-0.6090420484542847,
-0.3335263729095459,
-0.136086344718... |
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the sentence. The resolution of the pronoun coreference relations typically involve one or multiple following knowledge types about commonsense: First: 'Property', the knowledge about property of objects (e.g., ice is cold). Second: 'Object', the knowledge about objects (e.g., cats have ears). Third: 'Eventuality', the knowledge about eventuality (e.g., 'wake up' happens before 'open eyes'). Forth: 'Spatial', the knowledge about spatial position (e.g., object at the back can be blocked). Fifth: 'Quantity', the knowledge about numbers (e.g., 2 is smaller than 10). Sixth: all other knowledge if above ones are not suitable. You should answer 'Correct' if the reasoning made sense, otherwise, you should answer 'Wrong'.
Input: Consider Input: Sentence: Alice tried frantically to stop her daughter from barking at the party, leaving us to wonder why she was behaving so strangely.
Reason: The 'she' refers to alice's daughter because she is a member of Alice's family, and probably the only person who knows what is going on.
Question: Is the above reasoning correct or wrong?
Output: Wrong
Input: Consider Input: Sentence: Lily spoke to Donna, breaking her silence.
Reason: The 'her' refers to lily because it is likely to be the first time Lily is in a relationship with a female character in the series.
Question: Is the above reasoning correct or wrong?
Output: Wrong
Input: Consider Input: Sentence: Sam pulled up a chair to the piano, but it was broken, so he had to stand instead.
Reason: The 'it' refers to the chair because the music is so good.
Question: Is the above reasoning correct or wrong?
| Output: Wrong
| 2 | NIv2 | task133_winowhy_reason_plausibility_detection | fs_opt | [
-0.08630464971065521,
0.1266782283782959,
-0.18231144547462463,
0.25860583782196045,
0.2826882600784302,
-1.06343412399292,
0.25736624002456665,
0.36300429701805115,
0.37883853912353516,
-0.017781689763069153,
0.2696673274040222,
0.23757857084274292,
-0.2758901119232178,
-0.331060796976089... |
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Buy American Carbon Incentives Program Act of 2009 - Directs the Secretary of Agriculture to: (1) establish a carbon incentives program to achieve supplemental greenhouse gas emissions reductions on private agricultural and forestland; (2) provide financial incentive payments for activities that increase carbon sequestration and storage over a designated contract period, and maintain carbon sequestration and storage and avoid future emissions through permanent avoided conversion agreements; and (3) establish monitoring and compliance protocols.
Requires participating owners to enter into a climate mitigation contract with the Secretary.
Obligates specified funds for further incentives for activities and agreements that protect carbon reductions and otherwise enhance environmental benefits achieved under a climate mitigation contract. | To require the Secretary of Agriculture to establish a carbon incentives program to achieve supplemental greenhouse gas emissions reductions on private agricultural and forestland of the United States, and for other purposes. | 0 | NIv2 | task1659_title_generation | zs_opt | [
-1.3078155517578125,
0.6433489322662354,
-0.21646566689014435,
-0.4899335503578186,
-0.28204578161239624,
-1.0271698236465454,
0.13274019956588745,
0.7761436700820923,
-0.7678760290145874,
0.5946055054664612,
0.15215367078781128,
0.26719871163368225,
-1.1303703784942627,
0.263952374458313,... |
Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: As you can understand, it would be easy to do so.
Output: | Det skulle som ni förstår vara enkelt att göra det. | 3 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
-0.2838902175426483,
1.0328948497772217,
0.6206100583076477,
-0.7647143602371216,
0.5932167768478394,
0.12580254673957825,
1.0126782655715942,
0.8397682905197144,
0.325371116399765,
0.26364994049072266,
-0.2694005072116852,
0.3120078444480896,
-0.43170544505119324,
-0.4221305847167969,
-... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given Wikipedia articles on a range of topics, we ask you to write a question based on the content of the articles that can be answered in a binary manner i.e. True or False.
Property tax -- Property tax or 'house tax' is a local tax on buildings, along with appurtenant land. It is and imposed on the Possessor (not the custodian of property as per 1978, 44th amendment of constitution). It resembles the US-type wealth tax and differs from the excise-type UK rate. The tax power is vested in the states and is delegated to local bodies, specifying the valuation method, rate band, and collection procedures. The tax base is the annual rental value (ARV) or area-based rating. Owner-occupied and other properties not producing rent are assessed on cost and then converted into ARV by applying a percentage of cost, usually four percent. Vacant land is generally exempt. Central government properties are exempt. Instead a 'service charge' is permissible under executive order. Properties of foreign missions also enjoy tax exemption without requiring reciprocity. The tax is usually accompanied by service taxes, e.g., water tax, drainage tax, conservancy (sanitation) tax, lighting tax, all using the same tax base. The rate structure is flat on rural (panchayat) properties, but in the urban (municipal) areas it is mildly progressive with about 80% of assessments falling in the first two brackets.
Solution: is house tax and property tax are same
Why? The question generated asks whether the house tax and property tax are the same and can be answered by reading the passage. Additionally, it has a binary answer and hence the generated question is correct.
New input: Colorado Rockies -- The Colorado Rockies are an American professional baseball team based in Denver, Colorado. The Rockies compete in Major League Baseball (MLB) as a member club of the National League (NL) West division. The team's home venue is Coors Field, located in the Lower Downtown area of Denver. The Rockies won their first National League championship in 2007, after having won 14 of their final 15 games in order to secure a Wild Card position. In the World Series they were swept by the American League (AL) champion Boston Red Sox in four games.
Solution: | have the rockies ever made it to the playoffs | 0 | NIv2 | task1660_super_glue_question_generation | fs_opt | [
0.4414464235305786,
0.1211286261677742,
-0.9938346147537231,
0.7485756278038025,
0.4114750921726227,
-0.7345190048217773,
0.8865048289299011,
0.7922737002372742,
-0.07839928567409515,
-0.11260049045085907,
-0.3726428151130676,
0.8657528758049011,
-0.6508374810218811,
-0.32655102014541626,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Input: Consider Input: O síndrome de Capgras é uma doença em que se tem uma ilusão específica.
Output: So Capgras syndrome is a disorder where you get a specific delusion.
Input: Consider Input: E não são só as nossas abelhas do mel.
Output: And it's not just our honeybees.
Input: Consider Input: Isto não é suposto acontecer.
| Output: This is not supposed to occur.
| 2 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
-0.10087525099515915,
0.686621904373169,
-0.3789522647857666,
-0.5325751304626465,
-0.7024967074394226,
-0.9608351588249207,
-0.3339673578739166,
1.243424654006958,
0.46933358907699585,
-0.4037708640098572,
-0.8785340785980225,
0.6515204906463623,
-0.2396450936794281,
0.3012985587120056,
... |
Detailed Instructions: In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
See one example below:
Problem: Context: Our prayers are with the students, educators & families at Independence High School & all the first responders on the scene. #PatriotPride— Doug Ducey (@dougducey) February 12, 2016 Question: at which school were first responders on the scene for? Answer: independence high school
Solution: yes
Explanation: Here, the generated label is 'yes' because the given context is useful in answering the question.
Problem: Context: from PR, Kobani is the real Benghazi, the beseiged fortress where president really can & must save heroic defenders Geraldo Rivera (@GeraldoRivera) October 11, 2014 Question: who is the creator of an ebola-themed halloween house? Answer: ben russell.
Solution: | no | 4 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.5215656757354736,
0.5371561050415039,
0.26367413997650146,
-0.3713579773902893,
-0.09318040311336517,
-0.34903720021247864,
0.2637357711791992,
0.7998324632644653,
-0.25237059593200684,
-0.16564463078975677,
-0.3585768938064575,
0.3802762031555176,
-0.023187873885035515,
-0.535130620002... |
Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Example Input: Context : Lilika (Serbian: Лилика) is a 1970 Yugoslav drama film directed by Branko Pleša.
Answer : Branko Pleša
Example Output: Lilika a 2001 german drama film directed by ?
Example Input: Context : George Armistead (April 10, 1780 -- April 25, 1818) was an American military officer who served as the commander of Fort McHenry during the Battle of Baltimore in the War of 1812.
Answer : Battle of Baltimore
Example Output: What war or battle involved George Armistead?
Example Input: Context : Star of Midnight is an American mystery-comedy film released by RKO Pictures in 1935.
Answer : RKO Pictures
Example Output: | Which production company is involved with Star of Midnight?
| 3 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
0.03310046344995499,
0.5848937034606934,
-0.3935057818889618,
-0.08072146773338318,
-0.12172669917345047,
-0.29505473375320435,
0.7035189270973206,
0.18528294563293457,
0.43027880787849426,
-0.791454017162323,
-0.16638365387916565,
0.645194411277771,
-0.9967930316925049,
0.0196535363793373... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comma-separated values, like: [1,2,3].
[-4, 7, 3]
Solution: [1.5, 5]
Why? To create the answer, we should first calculate the average of -4 and 7, that is: (-4 + 7 ) / 2 = 1.5, so the first element of the answer is 1.5. Then, we need to calculate the average of 7 and 3, that is: 5. So the second element of the answer is 5.
New input: [-9, 41]
Solution: | [16.0] | 0 | NIv2 | task124_conala_pair_averages | fs_opt | [
-0.09597131609916687,
0.7743485569953918,
-0.5119931101799011,
-0.13721463084220886,
0.2677590847015381,
0.4999467432498932,
0.9141917824745178,
0.9333293437957764,
0.29781100153923035,
-0.2896539568901062,
-0.48436176776885986,
-0.25192791223526,
0.07379943132400513,
0.6242572069168091,
... |
Definition: You are given an original reference as well as a system reference. Your task is to judge the informativeness of the system reference. If the utterance provides all the useful information from the meaning representation output 1, else output 0.
Input: System Reference: x is a japanese restaurant in the city centre that offers chinese takeaway.
Original Reference: the x is a restaurant located in the centre of town having japanese food and chinese food for takeaway.
Output: | 1 | 2 | NIv2 | task1284_hrngo_informativeness_classification | zs_opt | [
-0.3419950008392334,
0.5628405809402466,
-1.0055264234542847,
0.17349904775619507,
-0.5959222316741943,
-0.3382507562637329,
0.8939182162284851,
0.6538281440734863,
0.15213482081890106,
-0.5248783826828003,
-0.1614661067724228,
-0.2762700915336609,
-0.5639113783836365,
0.3210233151912689,
... |
You will be given a definition of a task first, then some input of the task.
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Given Relationship: 'be god of', Sentence: 'Osiris was the Egyptian god of the Nile .'
Output: | god | 1 | NIv2 | task678_ollie_actual_relationship_answer_generation | zs_opt | [
-0.5761780142784119,
1.183558464050293,
-0.22855660319328308,
-0.2524663805961609,
-1.010605812072754,
-1.2413662672042847,
0.9622390866279602,
0.1997998058795929,
0.7742997407913208,
-0.12624101340770721,
-0.657049298286438,
-0.3855014741420746,
-0.4806545674800873,
0.06727074086666107,
... |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Q: Reviews: Love the pops, but as usual the box from Amazon was damaged. Getting real tired of this constantly happening. The box can subtract value from the pop. Luckily i don't have a lot of viewers on you tube yet. Looks like i will be buying directly from the sellers warehouse and not from Amazon warehouse
Summary: THE QUALITY IS FINE, BUT UNFORTUNATELY THE SIZE OF THE BOWL IS ...
A: | False | 4 | NIv2 | task1309_amazonreview_summary_classification | zs_opt | [
-0.30924272537231445,
0.25867873430252075,
-0.04117321968078613,
-0.11181381344795227,
-0.027676787227392197,
-0.29924148321151733,
0.5624642372131348,
0.7456210851669312,
-0.6819427013397217,
0.27101659774780273,
-0.46194520592689514,
-0.2883630394935608,
-0.8231207132339478,
0.0857200026... |
instruction:
Translation from English to Telugu.
question:
AND HE'S GONNA RELIEVE YOU OF YOUR RUCKSACK.
answer:
మరియు తను ఉపశమనానికి గొన్న మీరు మీ సంచి OF .
question:
I can see the turnoff.
answer:
నేను సిగ్నల్ పోస్ట్ తర్వాత చూడవచ్చు.
question:
He was my partner.
answer:
| అతను నా భాగస్వామి.
| 9 | NIv2 | task1330_open_subtitles_en_te_translation | fs_opt | [
0.3111843168735504,
0.8822953701019287,
0.05304256081581116,
-0.08046168088912964,
-0.10692371428012848,
-0.9010708332061768,
0.1634155958890915,
0.8452059030532837,
0.736852765083313,
0.25350484251976013,
-0.5409395694732666,
0.3679482638835907,
-0.9847712516784668,
0.46542736887931824,
... |
A text is given in Oriya. Translate it from the Oriya language to the Tamil language. The translation must not omit or add information to the original sentence.
Ex Input:
ସରକାର 6ଟି ଉତ୍କୃଷ୍ଟ ସଂସ୍ଥାନର ଚୟନ କରିଛନ୍ତି ଯେଉଁଥିରେ 3ଟି ସରକାରୀ ଏବଂ 3ଟି ବେସରକାରୀ ସଂସ୍ଥାନ ସାମିଲ । କେନ୍ଦ୍ର ମାନବ ସମ୍ବଳ ବିକାଶ ମନ୍ତ୍ରଣାଳୟର ଉଚ୍ଚସ୍ତରୀୟ କମିଟି ଏକ ରିପୋର୍ଟରେ ଏହି 6ଟି ‘ଉତ୍କୃଷ୍ଟ ସଂସ୍ଥାନ’ର ସୁପାରିଶ କରିଛନ୍ତି । ଏହି ସଂସ୍ଥାମାନଙ୍କର ବିବରଣୀ ନିମ୍ନରେ ପ୍ରଦାନ କରାଯାଇଛି ।
Ex Output:
நாடுமுழுவதும் பரவலாக உள்ள 3 லட்சத்திற்கும் அதிகமான பொது சேவை மையங்கள் கிராம மக்களுக்கு சேவைகளை வழங்குகின்றன. ஏழை எளிய மற்றும் நடுத்தர வகுப்பு இளைஞர்களின் விருப்பங்களைப் பூர்த்தி செய்யும் வகையில், நகரங்களில் வைஃபை வசதி இலவசமாக கிடைக்கிறது.
Ex Input:
ଭାବ ବିନମୟ ସମୟରେ ପ୍ରଧାନମନ୍ତ୍ରୀ କ୍ରୀଡ଼ାବିତମାନଙ୍କୁ ଅନୁରୋଧ କରିଥିଲେ ଯେ ସେମାନଙ୍କ ପ୍ରଦର୍ଶନରେ ଉନ୍ନତି ଆଣିବା ପାଇଁ ସେମାନେ ବୈଷୟିକ ଜ୍ଞାନର ଉପଯୋଗ କରନ୍ତୁ । ସେ କହିଲେ ଯେ ବୈଷୟିକ ଜ୍ଞାନର ଉପଯୋଗ ଏବଂ ବିଶ୍ୱର ଶ୍ରେଷ୍ଠ ଖେଳାଳିମାନଙ୍କ ପ୍ରଦର୍ଶନର ବିଶ୍ଲେଷଣ କରି କ୍ରୀଡ଼ାବିତମାନେ ଭବିଷ୍ୟତରେ କ୍ରମାଗତ ଭାବେ ନିଜ ଖେଳରେ ଉନ୍ନତି ଆଣିବା ଆବଶ୍ୟକ ।
Ex Output:
சிறப்பு மிக்க இந்த நன்னாளில், அறிவு, அமைதி மற்றும் நல்லிணக்கத்துடன் கூடிய உலகையும், தேசத்தையும் உருவாக்குவதில், நமது ஆசிரியர்கள், தனிப்பட்ட முறையிலும், ஒட்டு மொத்தமாகவும், நம்மை தொடர்ந்து வழிநடத்தி, உதவி செய்ய பிரார்த்திப்போம் எனவும் திரு ராம் நாத் கோவிந்த் தமது வாழ்த்துச் செய்தியில் குறிப்பிட்டுள்ளார்.
Ex Input:
ସେ କହିଥିଲେ ଯେ, ଜଣେ ଯେ ପର୍ଯ୍ୟନ୍ତ ପ୍ରକୃତରେ କୁମ୍ଭମେଳା ପରିଦର୍ଶନ କରିନାହିଁ, ସେ ଏହାର ମହାତ୍ମ୍ୟ ଓ ମହାନ ପରମ୍ପରା ସମ୍ପର୍କରେ ଜାଣିପାରିବ ନାହିଁ । ସେ କହିଥିଲେ ଏହି ପରମ୍ପରା ହଜାର ହଜାର ବର୍ଷ ଧରି ନିରବଚ୍ଛିନ୍ନ ଭାବେ ଚାଲି ଆସୁଛି ।
Ex Output:
| மின்சாரத்தை ஏற்றுமதி செய்யும் அளவிற்கு உருவெடுத்துள்ள இந்தியாதான், நாடு சுதந்திரம் அடைந்ததிலிருந்து இதுவரை மின்சார வசதி இல்லாத கோடிக்கணக்கான வீடுகளுக்கு மின் இணைப்பை வழங்கியுள்ளது.
| 1 | NIv2 | task1073_pib_translation_oriya_tamil | fs_opt | [
-0.0381721593439579,
0.11464276909828186,
-0.1731119155883789,
-0.31140807271003723,
0.6747708320617676,
-0.8745747804641724,
0.6284083127975464,
1.2251474857330322,
-0.6009773015975952,
-0.09747111797332764,
-0.6026420593261719,
0.7341396808624268,
-0.5838781595230103,
-0.1239856183528900... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Sentence: 'pasta with broccoli on a white plate with blue designs'. Count the number of vowels in the given sentence. | 17 | 0 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.28929099440574646,
0.8288717865943909,
-0.5902585983276367,
-0.295607328414917,
-0.2709476947784424,
0.2992401719093323,
-0.04262951761484146,
0.6903988718986511,
0.11970992386341095,
-0.35081103444099426,
-0.15845493972301483,
-0.011215141043066978,
0.4453919529914856,
-0.60769617557525... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
למרבה הצער אנו חלקית זקוקים למערכת זו. | But unfortunately, we need this system in part. | 0 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.54997318983078,
0.35022488236427307,
0.4265841245651245,
0.07413670420646667,
-0.1636238396167755,
-0.4408946633338928,
0.3753037452697754,
-0.45090216398239136,
0.5071128606796265,
-0.4468868672847748,
-0.9917687177658081,
-0.2939436435699463,
-0.47371232509613037,
0.5796769857406616,
... |
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: a one - foot stick is marked in 1 / 4 and 1 / 5 portion . how many total markings will there be , including the end points ?
Options: a ) 18 , b ) 16 , c ) 13 , d ) 9 , e ) 11 | d | 0 | NIv2 | task1420_mathqa_general | zs_opt | [
0.5087214112281799,
0.014551003463566303,
-0.7433293461799622,
-0.17097914218902588,
0.34118419885635376,
-0.3727216124534607,
0.41933175921440125,
0.895535945892334,
-0.3141706585884094,
0.20009440183639526,
-0.8290308713912964,
0.11799018085002899,
0.1640973538160324,
-0.3082872331142425... |
In this task, you need to count the number of words in a sentence that contain the given letter
Sentence: 'a skier posing for a photo in front of a slope'. How many words contain the letter 'a' in the sentence.
3
Sentence: 'a plate has many different types of food on it'. How many words contain the letter 'r' in the sentence.
1
Sentence: 'a red stop sign sitting on the side of a road'. How many words contain the letter 'q' in the sentence.
| 0
| 0 | NIv2 | task161_count_words_containing_letter | fs_opt | [
-0.4989604353904724,
0.3013298809528351,
-0.12612131237983704,
-0.7530811429023743,
-0.2853460907936096,
0.465419739484787,
0.389018714427948,
0.5152301788330078,
0.47371119260787964,
-0.8788861036300659,
0.17532141506671906,
0.09063446521759033,
-0.23866258561611176,
0.3753747344017029,
... |
Definition: Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
Input: news:The program included operational improvements and reductions in personnel , mainly in the Netherlands .
polarity:neutral
Output: | true | 2 | NIv2 | task844_financial_phrasebank_classification | zs_opt | [
-0.7426885962486267,
-0.1527746468782425,
-0.40325671434402466,
0.5520139932632446,
-0.19043463468551636,
-0.2305169552564621,
0.5857390761375427,
0.2992215156555176,
0.6520881652832031,
0.022587547078728676,
-0.7593297958374023,
0.22433680295944214,
-0.331187903881073,
0.11287212371826172... |
In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
Input: Consider Input: These are too small. I wanted somewhat tight for assurances, but these were just too small. I even sized up - I wear a 16 on bottom but ordered xxl. The leg holes are too tight. Overnight MIGHT be okay but I cant walk in them. Disappointed.
Output: 3
Input: Consider Input: Glass bottle with rubber stopper mailed in flimsy product container and amazon envelope. 1/3 of the moisturizer had spilled out. Like the product but will buy from store.
Output: 2
Input: Consider Input: Wore these with new pair of shoes that tore up my heels the week before. As a life hack, I have found that KT tape in its original form worked wonders for this purpose in the past, far better than any other blister prevention or bandaid. However, I cannot say the same for the current blister tape Im wearing. After half a day, it has worn completely through, exposing the skin underneath - whereas, any KT tape wearer can attest, true KT tape is so difficult to remove, it often comes with the first layer of skin when you take it off. In other words, save your money and just buy strips of actual KT tape- works way better than this product.
| Output: 3
| 2 | NIv2 | task1310_amazonreview_rating_classification | fs_opt | [
0.3486317992210388,
0.2005123645067215,
-0.7912137508392334,
0.5659096240997314,
0.4724634289741516,
-0.715542197227478,
-0.06862339377403259,
0.966910719871521,
-0.5901035070419312,
0.798878014087677,
-0.45977872610092163,
0.25001126527786255,
-0.5191553831100464,
-0.34390270709991455,
... |
instruction:
In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
question:
Question: Virgina Henderson describes the relationship of the nurse with the patient in the following structure:
Options: <1> Levels: Substitution. Help. Accompaniment. <2> Roles: Strange. Person resource. Teacher. Leadership. Substitute. Advice. <3> Skills: Beginner Advanced beginner Effective. Expert. <4> Help modes: Act for another. Lead another. Support another. Provide an environment that fosters development. Teach another <5> Styles: Stimulation. Confirmation. Conservation and continuity of life. Self-image Compensation and rest.
answer:
1
question:
Question: The change of internal energy when a mole of solid is formed from gaseous ions at infinite separation, at atmospheric pressure and at 0 K is called energy:
Options: <1> Deformation. <2> Of sublimation. <3> Reticular <4> Of condensation. <5> Of liquefaction.
answer:
3
question:
Question: A 78-year-old woman has recently been diagnosed with diabetes mellitus type 2. She has a history of deep vein thrombosis 5 years ago, high blood pressure, depression and generalized anxiety. Take hydrochlorothiazide, lisinopril, citalopram and aspirin. Live alone in sheltered apartments. Eat little, typically coffee and toast for breakfast, fruit and half a sandwich to eat and salad for dinner. Walk 1.5 km daily. It measures 152 cm and weighs 39 Kg. The blood pressure is 130/80 mmHg and the heart rate is 82 bpm. Laboratory tests included basal glycemia of 147 mg / dL (1 month ago it was 152 mg / dL), creatinine 1.0 mg / dL (estimated glomerular filtration rate 28 ml / min), urea 32 mg / dL and glycosylated hemoglobin 9 ,5%. Which of the following is the best initial treatment for diabetes?
Options: <1> Insulin glargine subcutaneous 8 U per day. <2> Oral metformin at a dose of 850 mg every 12 hours. <3> Oral Glibenclamide 10 mg daily. <4> It does not need pharmacological treatment, only diet. <5> Pioglitazone 15 mg daily.
answer:
| 1
| 9 | NIv2 | task1431_head_qa_answer_generation | fs_opt | [
0.4576018452644348,
0.5970908403396606,
-0.2596636414527893,
-0.3690478205680847,
0.1869724541902542,
-0.8896837830543518,
0.5297514200210571,
1.0987548828125,
0.2840234637260437,
0.10932950675487518,
-0.17838837206363678,
-0.1913703978061676,
-0.24258533120155334,
-0.30447882413864136,
... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Let me give you an example: Ok, the national drink of Scotland is whisky.
The answer to this example can be: assistant
Here is why: It is pretty straightforward. It is knowledge sharing, and the assistant explains the question asked by the user.
OK. solve this:
You are quite welcome. See you next time.
Answer: | assistant | 8 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.17679241299629211,
0.6511991024017334,
-0.4371468424797058,
-0.668178915977478,
-0.3107156455516815,
-0.13890358805656433,
1.4485348463058472,
-0.7935687303543091,
1.1178970336914062,
-0.37112027406692505,
-0.028333544731140137,
0.02307560294866562,
-0.19715455174446106,
0.4446471929550... |
In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the choice number of the selected sentence.
[EX Q]: Statement: * Additionally, U.S. urea manufacturers and distributors routinely trade within a 130,000,000 tons worldwide annual production capacity. Choices: 1. THe U.S urea manufacturers and distributors hold the majority of the market. 2. The U.S urea manufacturers trade over 130,000,000 tons of worldwide annual production capacity. 3. There is a deviation of less than 130,000,000 of US trade to worldwide annual production capacity.
[EX A]: 3
[EX Q]: Statement: So long, Tommy. The train slid out of the station. Choices: 1. The train did not leave the station. 2. Tommy was told a goodbye, and the train left the station. 3. Tommy was on the train.
[EX A]: 2
[EX Q]: Statement: While LSC will implement these performance measures on January 1, 2001, it will diligently evaluate the chosen method of analysis prior to implementation to ensure it provides useful and meaningful data. Choices: 1. It will not diligently evaluate the chosen method of analysis 2. LSC will implement these performance measures on January 1, 2001. 3. LSC will implement these performance measures on January 1, 2001 at about 3pm.
[EX A]: | 2
| 6 | NIv2 | task200_mnli_entailment_classification | fs_opt | [
-0.03536120057106018,
0.09537146985530853,
-0.458805114030838,
0.38218584656715393,
0.5552175045013428,
-0.5920373201370239,
-0.9245918989181519,
1.1087121963500977,
-0.21465854346752167,
0.3186078667640686,
-0.3731539249420166,
0.33669042587280273,
0.04346834868192673,
-0.0827649235725402... |
This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Q: Daher glauben viele, dass uns in den Industrieländern ein „neuer Normalpegel“ des langsameren Wachstums bevorsteht.
A: | En consecuencia, muchos creen que pende sobre nosotros una "nueva normalidad" de crecimiento más lento de los países avanzados. | 4 | NIv2 | task1373_newscomm_translation | zs_opt | [
-1.3522634506225586,
0.5733741521835327,
-0.21512936055660248,
-0.07666489481925964,
-0.39346393942832947,
0.09269870817661285,
0.6108107566833496,
1.4430866241455078,
0.2720305025577545,
-0.41590234637260437,
-0.41511163115501404,
0.09178449213504791,
-0.3095088005065918,
0.23705981671810... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
به آن ها آسفالتین گفته می شوند ؛ آن ها یکی از مواد مورد نیاز برای درست کردن آسفالت هستند.
Chámanlles asfaltenos, e son un ingrediente do asfalto.
ولی او دندانهای بزرگی در یک طرف دهانش دارد.
Pero ten dentes enormes nun lado da boca.
و چیزی که خوبه در مورد این قضیه اینه که چیزی نیست که واقعا مردم روبه اشتباه بندازه ، چون همینطور که یه چهره لبحند میزنه ، چهره دیگه اخمو هست.
| O mellor disto é que non condiciona ás persoas, xa que cando un rostro sorrí o outro torce o fociño.
| 0 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-0.3643229901790619,
1.0833547115325928,
0.06781654804944992,
-0.2558397650718689,
-0.6523466110229492,
0.6265280246734619,
0.5236940979957581,
0.4669550657272339,
-0.11995392292737961,
-0.4738014340400696,
-0.5498234033584595,
0.26810866594314575,
-0.10189930349588394,
0.4400978088378906,... |
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 Japanese.
פירוש הדבר הוא גם כיצד אנשים יכולים לקבל גישה ולעשות דברים שישפיעו על הקהילה שלהם, וזו דוגמה.
| それはまた人々がいかにネットにアクセスし自らのコミュニティに影響を及ぼせるかということでもありますあの映像はまさにその一例ですね | 5 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
-0.7303838133811951,
0.44143858551979065,
0.5252515077590942,
0.29639944434165955,
0.1350030153989792,
0.5793210864067078,
0.5745049118995667,
-0.39522790908813477,
0.8008005619049072,
-0.8482955098152161,
-0.6109144687652588,
0.5475594997406006,
-0.47588589787483215,
0.18116462230682373,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Example: The severe acute respiratory syndrome (SARS) epidemic originating from China in 2002 was caused by a previously uncharacterized coronavirus that could be identified by specific RT-PCR amplification. Efforts to control future SARS outbreaks depend on the accurate and early identification of SARS-CoV infected patients. A real-time fluorogenic RT-PCR assay based on the 3 -noncoding region (3 -NCR) of SARS-CoV genome was developed as a quantitative SARS diagnostic tool. The ideal amplification efficiency of a sensitive SARS-CoV RT-PCR assay should yield an E value (PCR product concentration increase per amplification cycle) equal to 2.0. It was demonstrated that the 3 -NCR SARS-CoV based RT-PCR reactions could be formulated to reach excellent E values of 1.81, or 91% amplification efficacy. The SARS-CoV cDNA preparations derived from viral RNA extract and the cloned recombinant plasmid both exhibit the identical amplification characteristics, i.e. amplification efficacy using the same PCR formulation developed in this study. The viral genomic copy (or genomic equivalences, GE) per infectious unit (GE/pfu) of SARS-CoV used in this study was also established to be approximate 1200-1600:1. The assay's detection sensitivity could reach 0.005 pfu or 6-8 GE per assay. It was preliminarily demonstrated that the assay could efficiently detect SARS-CoV from clinical specimens of SARS probable and suspected patients identified in Taiwan. The 3 -NCR based SARS-CoV assay demonstrated 100% diagnostic specificity testing samples of patients with acute respiratory disease from a non-SARS epidemic region.
Output: Development and evaluation of an efficient 3 -noncoding region-based SARS coronavirus (SARS-CoV) RT-PCR assay for detection of SARS-CoV
It's a correct title because the paragraph described the development of 3 -noncoding region of SARS-CoV genome and assay efficiently detecting SARS-CoV from clinical specimens.
New input case for you: Background: Pairing up primers to amplify desired targets and avoid undesired cross reactions can be a combinatorial challenge. Effective prediction of specificity and inclusivity from multiplexed primers and TaqMan®/ Luminex® probes is a critical step in PCR design. Results: Code is described to identify all primer and probe combinations from a list of unpaired, unordered candidates that should produce a product. It predicts and extracts all amplicon sequences in a large sequence database from a list of primers and probes, allowing degenerate bases and user-specified levels of primer-target mismatch tolerance. Amplicons hit by TaqMan®/Luminex® probes are indicated, and products may be annotated with gene information from NCBI. Fragment length distributions are calculated to predict electrophoretic gel banding patterns. Simulate_PCR is the only freely available software that can be run from the command line for high throughput applications which can calculate all products from large lists of primers and probes compared to a large sequence database such as nt. It requires no prior knowledge of how primers should be paired. Degenerate bases are allowed and entire amplicon sequences are extracted and annotated with gene information. Examples are provided for sets of TaqMan®/Luminex® PCR signatures predicted to amplify all HIV-1 genomes, all Coronaviridae genomes, and a group of antibiotic resistance genes. The software is a command line perl script freely available as open source.
Output: | Simulate_PCR for amplicon prediction and annotation from multiplex, degenerate primers and probes | 1 | NIv2 | task1161_coda19_title_generation | fs_opt | [
0.2702556848526001,
0.39964377880096436,
-0.6539201736450195,
0.2731418013572693,
0.7345650792121887,
0.22104758024215698,
0.644136905670166,
1.0527691841125488,
-0.07082177698612213,
0.9048148989677429,
-0.5944357514381409,
1.0876492261886597,
-0.19987201690673828,
0.3731445074081421,
-... |
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Ex Input:
Event:PersonX has PersonX's first baby. Intent: 1) to be informed. XEmotion: 1) informed
Ex Output:
attached
Ex Input:
Event:PersonX shows ___ PersonX's feature. Intent:. XEmotion: 1) quite badly
Ex Output:
grateful
Ex Input:
Event:PersonX persuades the ___ to agree. Intent: 1) to go somewhere else 2) to arrange transportation. XEmotion: 1) determined 2) responsible 3) motivated
Ex Output:
| confused and irritated
| 1 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.008181899785995483,
0.0004947107518091798,
0.1824539303779602,
-0.14054273068904877,
-0.820041835308075,
-0.33786821365356445,
1.156949520111084,
0.44978922605514526,
0.3496285676956177,
-0.49136313796043396,
0.17624172568321228,
-0.029299218207597733,
-0.45563817024230957,
0.45829468965... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output.
walk right twice after look left thrice
I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK
look opposite left thrice after run opposite right twice
I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_LOOK
look around right twice after turn right
| I_TURN_RIGHT I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK
| 0 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.49619531631469727,
0.6442948579788208,
-0.438372939825058,
0.17692919075489044,
-0.0618695467710495,
-0.22858019173145294,
0.06876732409000397,
0.26122862100601196,
-0.11027085781097412,
-0.07315246760845184,
-0.7861096858978271,
-0.2796868681907654,
-0.6692022085189819,
-0.0866313651204... |
Detailed Instructions: Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, you should answer with Good.
Problem:How many calories in a large whiskey ?
Solution: | Good | 8 | NIv2 | task673_google_wellformed_query_classification | zs_opt | [
-0.2764686346054077,
0.5219504237174988,
0.09102177619934082,
-0.4596503674983978,
-0.5610616207122803,
-0.3237425684928894,
0.5287713408470154,
0.18998856842517853,
0.31888729333877563,
-0.0459766648709774,
0.14136096835136414,
-0.16468402743339539,
-0.6639041900634766,
-0.253662824630737... |
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Input: وهذا مثال بسيط لذلك.
Output: | Questo è davvero un buon esempio di ciò. | 3 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
-0.6142418384552002,
1.1292603015899658,
-0.3745596408843994,
-0.3445340394973755,
-0.4188605546951294,
0.44414693117141724,
0.5529098510742188,
0.6880629062652588,
0.3422561287879944,
-0.49120765924453735,
-1.1257004737854004,
0.05904766172170639,
0.14733324944972992,
0.1704423725605011,
... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Ex Input:
Sentence: 'a young lady is holding on to a street sign and smiling'. Remove all words of length '3' in the given sentence.
Ex Output:
a young lady is holding on to a street sign smiling
Ex Input:
Sentence: 'black and white cows sit in a pile of hay'. Remove all words of length '3' in the given sentence.
Ex Output:
black white cows in a pile of
Ex Input:
Sentence: 'the elephants are walking through the tall grass'. Remove all words of length '7' in the given sentence.
Ex Output:
| the elephants are the tall grass
| 1 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
0.05123082548379898,
0.14772847294807434,
-0.2545354962348938,
-0.7462158203125,
-0.06592077016830444,
-0.6431095600128174,
-0.4626544713973999,
0.887603759765625,
-0.1907232403755188,
0.03137824311852455,
-0.9265766143798828,
-0.17533908784389496,
-0.31509116291999817,
-0.2947262525558471... |
Given the task definition and input, reply with output. Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
A gymnast performs on a pommel horse on front two judges while a man watch her, then the gymnast runs and make a flip to finish her performance. Also, other people
| perform jump springs routine after the handstand and walks by during the first performance. | 5 | NIv2 | task453_swag_answer_generation | zs_opt | [
-0.3017634153366089,
1.2905038595199585,
-0.11892068386077881,
0.25983405113220215,
-0.227424755692482,
0.4104735255241394,
-0.6024080514907837,
0.42267417907714844,
0.5967625975608826,
-0.5828276872634888,
-0.8706424236297607,
0.7218323945999146,
-0.2760847210884094,
0.030161406844854355,... |
Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of logical operators:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Problem:Command: eq { count { filter_less { filter_greater { all_rows ; round ; 3 } ; overall ; 200 } } ; 3 }, interpretation: select the rows whose round record is greater than 3 . among these rows , select the rows whose overall record is less than 200 . the number of such rows is 3 .
Solution: | yes | 8 | NIv2 | task211_logic2text_classification | zs_opt | [
0.06983128190040588,
-0.30584079027175903,
-0.41608425974845886,
0.37240099906921387,
0.46194517612457275,
-0.5683084726333618,
0.3431975841522217,
0.4507838785648346,
0.05206603184342384,
-0.05473112314939499,
-0.06546878814697266,
0.2439112514257431,
0.23498304188251495,
0.41539824008941... |
Categorize the comment on the basis of severe toxicity. If the comment is severely toxic output Yes, otherwise output No.
Q: If you don't like it here go back to Africa or wherever you came, or were taken from. My ancestors in Eastern Europe were also slaves but instead of whining about it every day as an excuse for my laziness and n0t paying attention in school I have moved on. I am in control of my life - not the past. Time for people to grow up and live in the present. BTW, blacks in the US have it far better than blacks in an black run country in Africa.
A: Yes
****
Q: Sorry, but anyone who believes that Saudi Arabia's ultra-reactionary philosophy of bigotry and hatred of other religions ( including other sects of Islam ) is anything new is either blatantly lying, or is insane.
So OK, if he is not lying, then I guess that we can say that the poor man is delusional, and is mentally ill.
I've posted clear facts showing that other members of the press ( and even his own newspaper, the New York Times ), have known about this for a very long time. This is not a new development. Not by any means. To state otherwise, as he has done here in this editorial, is to spread FALSEHOODS.
What he said is a LIE. For it is NOT TRUE.
A: Yes
****
Q: Once again the shameless intellectually bankrupt clowns refer to criminal vagrancy as "homelessness." We're supposed to abandon intelligence, logic, and common sense, and pretend the obnoxious criminal behavior that endangers our community isn't what got these social parasites booted, it's because government didn't steal enough of your wages to give these social parasites a free ride. We are dealing with people (sic) who are dead end dead beat losers void of a work ethic who refuse to grow up and accept the responsibility of adulthood. There are ample programs to get them help and a job, but, they prey on the truly stupid of our community, the obnoxious enablers of this dysfunction who claim they're merely "homeless."
A: | Yes
****
| 4 | NIv2 | task1725_civil_comments_severtoxicity_classification | fs_opt | [
-0.10959680378437042,
0.3454599976539612,
0.23473000526428223,
-0.03505012392997742,
-0.32097098231315613,
-0.7146494388580322,
0.18524706363677979,
0.9989954233169556,
0.17341189086437225,
0.5535415410995483,
-0.615689754486084,
0.6389772891998291,
-0.9399231672286987,
-0.2459342330694198... |
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
One example is below.
Q: Text: title speaks for itself really...
i just wasted $1500 of my parents' money.
i feel terrible.
edit: i guess it wasn't that i took the wrong class, but the class i was taking wouldn't transfer credits over to my university. so really it was my negligence to do more research in the matter. gg
A: TIFU by taking the wrong class for 2 weeks and only realizing it today
Rationale: This title is appropriate for the given text post because the focus of this post is about a humorous situation caused by "taking the wrong class".
Q: Text: today i went to file my taxes that i've had for about two weeks and never looked at. i go to turbo tax and open the w2 i got back from my dad's company. when i started to fill in the info i realize that federal income is entirely blank... i pull out some old checks to see if it was a typo and sure enough i haven't paid a dime towards the federal income tax. i call up my dad and have him check my w4 i filled out and it says i claimed 0 just like i always do to get the most taxes taken out in hopes of a big refund at the end of the year. turns out the company we pay to do payroll screwed up my taxes and now i'm stuck owing the government several thousand dollars.
A: | TIFU by not looking at my pay stubs | 9 | NIv2 | task510_reddit_tifu_title_summarization | fs_opt | [
-0.9056059122085571,
0.3802018463611603,
0.3320081830024719,
-0.4764831066131592,
0.23410989344120026,
0.2573005259037018,
0.1989835798740387,
1.3325870037078857,
0.24479514360427856,
0.44430282711982727,
0.17664417624473572,
-0.47919508814811707,
-0.4993321895599365,
-0.19894251227378845,... |
Detailed Instructions: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Q: Context: Q7: What's the best way to promote your tech startup? And how important is it to attract media attention? #CNNAfrica CNN African Start-Up (@cnnafricanstart) January 14, 2015 Answer: cnn africa
A: | what group is giving tips on tech startup advertising? | 9 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-0.981139063835144,
0.636998176574707,
0.5320345163345337,
-0.043230846524238586,
0.0979759693145752,
-0.24114161729812622,
-0.2293713390827179,
0.5040169954299927,
-0.030756525695323944,
0.23547495901584625,
0.04271853342652321,
-0.011635184288024902,
-1.293157935142517,
0.308274835348129... |
TASK DEFINITION: Given the background description of some cooking related query, summarize the question into a title
PROBLEM: Recently watch a cooking show, and in one of the recipes (before cooking the chicken) the instruction was to put the spice below the skin of the chicken.How to do it? Does it have some special methods to preserve the quality?
SOLUTION: How to stuff and/or spice the chicken BELOW the skin?
PROBLEM: A picture is worth a thousand words...I dropped a glass jar filled with rice. I've picked up the macro-sized pieces of glass, but am wondering if there is any way on earth to make the rice safe to eat, given that I am sure it contains small fragments and shards of glass. I could, naturally, go through it grain-by-grain, but this is only a couple of bucks worth of rice, and I don't think it warrants the time.Does anyone have any suggestions? (Or is this too localized?) I would also welcome suggestions for a better tag than "rice."
SOLUTION: Remediation Methods for Rice Contaminated with Broken Glass
PROBLEM: My husband and I do not drink milk during the week, and rarely use it for cooking. However, on weekends when I am home I like to make coffee and have it with milk. The problem is it is very expensive to purchase even the smallest container of 2% milk at the store only to have it go bad before I've gotten more than a quarter of the way through it.Is there a way I can preserve a quart of milk for my coffee, without it going bad? Is freezing an option? I am not a fan of milk alternatives, or the little creamer things that are shelf stable.
SOLUTION: | Preserving small amounts of milk
| 8 | NIv2 | task1637_doqa2.1_cooking_text_summarization | fs_opt | [
0.14490513503551483,
0.23974032700061798,
-0.325379878282547,
0.7095425128936768,
0.5915118455886841,
-0.07369591295719147,
0.5148202776908875,
1.2766425609588623,
-0.3721121847629547,
0.3388543128967285,
0.02078608050942421,
0.04347933083772659,
-0.6894338130950928,
0.4333660304546356,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
[Q]: ريبكا: كيف يمكن لحجة منطقية أن يترتب عليها حجج منطقية غير فعالة ؟
[A]: RNG: Como é que, segundo a lógica, um argumento sensato pode implicar a ineficácia de argumentos sensatos?
[Q]: أنا أضيف 2 + 2 لأحصل على 4
[A]: Eu somo dois mais dois e obtenho quatro.
[Q]: أسمع كل حركة صغيرة يقوم بإصدارها أي شخص.
[A]: | Ouço o mais pequeno movimento que cada pessoa faz.
| 5 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
-0.6377514600753784,
0.5427830219268799,
0.596788227558136,
-0.02292811870574951,
-0.7481769323348999,
0.022779298946261406,
0.6702094674110413,
0.30397576093673706,
0.09624284505844116,
-0.7421805262565613,
-0.6248872876167297,
-0.0703832358121872,
-0.9436659216880798,
0.02886379137635231... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Input: زبان واقعا صدای ژن های ما می باشد.
Output: | Język to głos naszych genów. Język to głos naszych genów. | 3 | NIv2 | task1272_ted_translation_fa_pl | zs_opt | [
-0.821597158908844,
1.0977600812911987,
-0.3223539888858795,
0.0570208840072155,
-0.8675023317337036,
-0.1628776490688324,
0.7917984127998352,
-0.42738962173461914,
0.4416840672492981,
-0.6355391144752502,
-0.9665725827217102,
0.8439396619796753,
-0.55592942237854,
0.29047101736068726,
1... |
Q: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'a black and white photo of two women and a bbq', Sentence2: 'a train engine is traveling down some tracks'. Is the frequency of the word 'a' in two sentences equal?
A: | No | 7 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt | [
-0.4470527172088623,
0.05275781452655792,
-0.5335274934768677,
0.02221604622900486,
-0.004109164699912071,
-0.2877575159072876,
0.9854269623756409,
0.7370662093162537,
0.03809237480163574,
0.0957268625497818,
-0.30897256731987,
-0.26287901401519775,
0.6446460485458374,
0.5730153322219849,
... |
Instructions: 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.
Input: Sentence1: A little girl fell asleep in her classroom due to boredom. Sentence2: The teacher saw her and chastised her for it. Sentence3: She was assigned more homework as punishment. Sentence4: The girl hated homework and learned her lesson. Sentence5: She would never fall asleep in class again.
Output: | Girl, Teacher | 3 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
-0.1835431307554245,
0.4593426585197449,
-0.13198116421699524,
-0.8314114212989807,
0.0039357990026474,
-0.5274239778518677,
0.3658665418624878,
0.6136474609375,
0.19336509704589844,
-0.2407887876033783,
-0.47286075353622437,
-0.4679708480834961,
-0.5660467147827148,
-0.011893220245838165,... |
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
One example is below.
Q: Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. He is one of the first American composers of international renown, though his music was largely ignored during his life, and many of his works went unperformed for many years. Over time, he came to be regarded as an "American original". He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Context_2 : Daniel Evan Freeman (born 27 April 1959) is an American musicologist who specializes in European art music of the eighteenth century, in particular the musical culture of eighteenth-century Prague and the Bohemian lands. He is also active as a pianist and music editor. Context_3 : Art music (also known as Western classical music, cultivated music, serious music, canonic music, and more flippantly, real music or normal music) is an umbrella term that refers to musical traditions, implying advanced structural and theoretical considerations and a written musical tradition. "Serious" or "cultivated" music are terms frequently used as a contrast for ordinary, everyday music (popular and folk music, also called "vernacular music"). After the 20th century, art music was divided into two extensions: "serious music" and "light music". Context_4 : In the history of European art music, the term "common practice period" refers to the era between the formation and the dissolution of the tonal system. Though there are no exact dates for this phenomenon, most features of the common-practice period persisted from the mid to late baroque period, through the Classical and Romantic periods, or roughly from around 1650 to 1900. While certain prevailing patterns and conventions characterize the music of this period, the time period also saw considerable stylistic evolution. Some conventions evolved during this period that were rarely employed at other times during what may still be labeled "common practice" (for example, Sonata Form). Thus, the dates 1650–1900 are necessarily nebulous and arbitrary borders that depend on context. The most important unifying feature through this time period concerns a harmonic language to which modern music theorists can apply Roman numeral analysis. Context_5 : The Festival Oude Muziek Utrecht ("Utrecht Early Music Festival") is an annual music festival that showcases and celebrates early European art music. The ten-day festival takes place in the Dutch city of Utrecht, and begins in August. The programme comprises concerts, activities, lectures, exhibitions, and a symposium. Context_6 : Assaf Shelleg (Hebrew: אסף שלג ), is a musicologist and pianist, a senior lecturer of musicology at The Hebrew University of Jerusalem. He was previously the Schusterman Visiting Assistant Professor of Musicology and Jewish Studies in the Department of Religious Studies at the University of Virginia (2011–14), and had taught prior to that as the visiting Efroymson Scholar in the Jewish, Islamic & Near Eastern Languages and Cultures Department at Washington University in St. Louis (2009–11). Shelleg specializes in twentieth-century Jewish and Israeli art music and has published in some of the leading journals in both musicology and Israel Studies on topics ranging from the historiography of modern Jewish art music to the theological networks of Israeli art music. Shelleg's book, "Jewish Contiguities and the Soundtrack of Israeli History", appeared in November 2014 with Oxford University Press. The book studies the emergence of modern Jewish art music in central and Western Europe (1910s-1930s) and its translocation to Palestine/Israel (1930s-1970s), exposing the legacies of European antisemitism and religious Judaism in the making of Israeli art music. Moving to consider the dislocation of modern Jewish art music the book examines the paradoxes embedded in a Zionist national culture whose rhetoric negated its pasts, only to mask process of hybridizations enchained by older legacies. "Jewish Contiguities" has won the 2015 Engle Prize for the study of Hebrew Music, and the 2016 Jordan Schnitzer Book Award. Context_7 : Vocal harmony is a style of vocal music in which a consonant note or notes are simultaneously sung as a main melody in a predominantly homophonic texture. Vocal harmonies are used in many subgenres of European art music, including Classical choral music and opera and in the popular styles from many Western cultures ranging from folk songs and musical theater pieces to rock ballads. In the simplest style of vocal harmony, the main vocal melody is supported by a single backup vocal line, either at a pitch which is above or below the main vocal line, often in thirds or sixths which fit in with the chord progression used in the song. In more complex vocal harmony arrangements, different backup singers may sing two or even three other notes at the same time as each of the main melody notes, mostly with consonant, pleasing-sounding thirds, sixths, and fifths (although dissonant notes may be used as short passing notes). Context_8 : David Wallis Reeves (February 14, 1838 – March 8, 1900), also known as D. W. Reeves or Wally Reeves, was an American composer, cornetist, and bandleader. He developed the American march style, later made famous by the likes of John Philip Sousa, and his innovations include adding a countermelody to the American march form in 1876. Sousa called Reeves "The Father of Band Music in America", and stated he wished he himself had written Reeves' "Second Regiment Connecticut National Guard March". Charles Ives also borrowed from the "Second Connecticut" on four occasions. Context_9 : "Indian classical music is one of many forms of art music that have their roots in particular regional cultures. For other "classical" and art music traditions, see List of classical and art music traditions." Context_10 : Progressive music is music that subverts genre and expands stylistic boundaries outwards. Rooted in the idea of a cultural alternative, musical progressiveness embodies a continuous move between explicit and implicit references to genres and strategies derived from various cultural domains, such as European art music, Celtic folk, West Indian, or African. The word "progressive" comes from the basic concept of "progress", which refers to development and growth by accumulation, and is often deployed in numerous music genres such as progressive country, progressive folk, progressive jazz, and (most significantly) progressive rock. fact_1 : Charles Ives also borrowed from the "Second Connecticut" on four occasions. fact_2 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. fact_3 : He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Answer: 1874May
A: What is the birthyear of the American composer that borrowed from "Second Connecticut" on four occasions and combined American popular and church-music traditions with European art music?
Rationale: From the fact_1 from context _8, and fact _2 and fact _3 from context _1, we can arrive at 1874 May which is accurate answer of generated question.
Q: Context_1 : Zizi Strallen, born Sylphide Charity Vaigncourt-Strallen, is a British actress best known for playing Mary Poppins in the Cameron Mackintosh theatrical production of "Mary Poppins". Context_2 : Death of a Salesman is a 1996 television film adapted from the play of the same name by Arthur Miller. It was directed by David Thacker and starred Warren Mitchell as Willy Loman. Mitchell reprised the role for which he had won the West End theatre Laurence Olivier Award for Actor of the Year in a Revival in 1979. Context_3 : Love's Victory is a Jacobean era pastoral closet drama written circa 1620 by English Renaissance writer Lady Mary Wroth. The play is the first known original pastoral drama and the first original dramatic comedy written by a woman. It is written primarily in rhyming couplets. There are only two known manuscripts of "Love's Victory", one of which is an incomplete version located in the Huntington Library in San Marino, California. The other version is complete, and is the Penshurst Manuscript which is owned by Viscount De L'Isle, indicating continued ownership by the Sydney family since its creation. The play is not as widely read as Wroth's prose work "Urania" or her romantic sonnet sequence "Pamphilia to Amphilanthus", but has been receiving more attention with the increasing interest in early modern women writers. Context_4 : All My Sons is a 1947 play by Arthur Miller. It opened on Broadway at the Coronet Theatre in New York City on January 29, 1947, closed on November 8, 1949 and ran for 328 performances. It was directed by Elia Kazan (to whom it is dedicated), produced by Elia Kazan and Harold Clurman, and won the New York Drama Critics' Circle Award. It starred Ed Begley, Beth Miller, Arthur Kennedy, and Karl Malden and won both the Tony Award for Best Author and the Tony Award for Best Direction of a Play. The play was adapted for films in 1949 and 1987. Context_5 : The Archbishop's Ceiling is a drama written in the 1970s by Arthur Miller. It was originally produced at the John F. Kennedy Center in 1977, but failed to attract the attention of Broadway. Miller subsequently re-worked the play, with a revised script premiering at Cleveland Play House in 1984 under the direction of Jonathan Bolt. Context_6 : The Crucible is a 1996 American historical drama film written by Arthur Miller adapting his play of the same title, inspired by the Salem witchcraft trials. It was directed by Nicholas Hytner and stars Daniel Day-Lewis as John Proctor, Winona Ryder as Abigail Williams, Paul Scofield as Judge Thomas Danforth, Bruce Davison as Reverend Parris, and Joan Allen as Elizabeth Proctor. Much of the filming took place on Choate Island in Essex, Massachusetts. Context_7 : The Final Close-Up is a 1919 American silent drama film directed by Walter Edwards and written by Royal Brown and Julia Crawford Ivers. The film stars Shirley Mason, Francis McDonald, James Gordon, Betty Bouton, Eugene Burr, and Mary Warren. The film was released on May 18, 1919, by Paramount Pictures. It is not known whether the film currently survives. Context_8 : Super Chief: The Life and Legacy of Earl Warren is a 1989 American documentary film directed by Bill Jersey and Judith Leonard about Chief Justice Earl Warren. It was nominated for an Academy Award for Best Documentary Feature. The cast included Gregory Peck, Robert Bork, William Brennan, Thurgood Marshall, and Arthur Miller. Context_9 : Karron Graves is an American actress best known for playing Mary Warren in Arthur Miller’s 1996 screen adaptation of "The Crucible", starring Daniel Day-Lewis and distributed by 20th Century Fox. In tandem with her performance credits, she teaches acting at NYU Tisch and the American Musical and Dramatic Academy. Context_10 : Mary Lou Kolbenschlag (born March 15, 1992) is an American actress. She is best known for playing Mary Ferry on the Nickelodeon television series "Unfabulous", also starring Emma Roberts. fact_1 : Karron Graves is an American actress best known for playing Mary Warren in Arthur Miller’s 1996 screen adaptation of "The Crucible", starring Daniel Day-Lewis and distributed by 20th Century Fox. fact_2 : The Crucible is a 1996 American historical drama film written by Arthur Miller adapting his play of the same title, inspired by the Salem witchcraft trials. Answer: The Crucible
A: | Karron Graves is best known for playing Mary Warren in what 1996 histroica drama written by Arthur Miller? | 9 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.6891534328460693,
0.34985288977622986,
-0.8356341123580933,
1.054969072341919,
0.5251984000205994,
-0.13426482677459717,
0.7167499661445618,
0.5180169343948364,
-0.061062756925821304,
0.3338373303413391,
-0.022834811359643936,
0.5336179733276367,
-0.9618646502494812,
-0.10721589624881744... |
Part 1. Definition
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Part 2. Example
Who did the Han Chinese want to help the Khitan no I mean the Mongols fight?
Answer: Who did the Han Chinese want to help the Mongols fight?
Explanation: The input initially means Khitan and then changes to Mongols, hence this is correct.
Part 3. Exercise
For who led the attack no what nation did Riboult initially claim what is now Jacksonville?
Answer: | For what nation did Ribault initially claim what is now Jacksonville? | 7 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
-0.6640380620956421,
1.0390783548355103,
-0.13539434969425201,
-0.5919766426086426,
-0.16258130967617035,
-0.5119452476501465,
1.132081151008606,
0.6119370460510254,
0.3325316309928894,
0.13632754981517792,
-0.2466438114643097,
-0.8195728063583374,
-0.8812118768692017,
-0.13884365558624268... |
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Example: [2, 5, 9, 6, 11]
Example solution: [2, 5, 11]
Example explanation: 6 and 9 are removed from the list because they are divisible by 3.
Problem: [18, -32, 75]
| Solution: [-32] | 5 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
0.11943016946315765,
-0.34779098629951477,
-0.2889276146888733,
-0.754158616065979,
0.36401718854904175,
-0.4810291528701782,
1.0894291400909424,
-0.038326602429151535,
-0.26886212825775146,
0.06389828026294708,
-0.8735958337783813,
0.01723339781165123,
-0.30909591913223267,
-0.61521357297... |
Q: In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
I've already gone through the 2 screen protectors in a week.. One cracked from being dropped on a a rug. Terrible durability. The adhesive doesn't properly stick on either. Second screen protector, popped off almost immediately, and wont stay on. It's a garbage product
A: | 1 | 7 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
0.04930254817008972,
0.28087255358695984,
-0.15730012953281403,
-0.17078004777431488,
0.137769877910614,
-0.7378400564193726,
-0.1030755341053009,
0.7407862544059753,
-0.11254660785198212,
0.31352823972702026,
-0.35747218132019043,
0.18880970776081085,
-0.6573301553726196,
-0.0844106674194... |
This task is to translate the Telugu Language Input to English Language Output
Ex Input:
అవసరాలు (మీరు అవసరం)
Ex Output:
Requirements (What you need)
Ex Input:
ఆ ఎప్పుడూ జరగలేదు.
Ex Output:
That never happened.
Ex Input:
పైకి Porn Videos
Ex Output:
| Random video
| 1 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt | [
-0.13664767146110535,
0.4028279483318329,
-0.1504254937171936,
0.7309842109680176,
-0.05682932585477829,
0.256308376789093,
-0.1612120270729065,
0.63564532995224,
-0.5832211375236511,
-0.2660174071788788,
0.22352048754692078,
-0.13734091818332672,
-0.37630894780158997,
-0.5519883036613464,... |
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Q: Category: emotional status
Words: down, emotional upsets, disgusted, shameful, sliding
A: sliding
****
Q: Category: type of sandwich
Words: open-faced, hero, club, discothek, hamburger
A: discothek
****
Q: Category: elements
Words: fire, let go, air, blaze, combustion
A: | let go
****
| 4 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
0.380380779504776,
0.15327700972557068,
0.13684208691120148,
-0.29190677404403687,
0.17424511909484863,
0.34166598320007324,
0.7723634243011475,
0.04206565394997597,
0.4105113744735718,
-0.23369042575359344,
0.09943185746669769,
-0.05868074297904968,
-1.2007534503936768,
0.2112299501895904... |
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Panjabi language. The translation must not omit or add information to the original sentence.
Q: ਭਾਰਤ ਅਤੇ ਯੂਰਪੀ ਯੂਨੀਅਨ ਦੀ Strategic Partnership ਨੂੰ ਮਜ਼ਬੂਤ ਕਰਨ ਵਿੱਚ ਤੁਹਾਡੀ ਦੋਹਾਂ ਦੀ ਅਗਵਾਈ ਅਤੇ ਯੋਗਦਾਨ ਲਈ ਮੈਂ ਤੁਹਾਡਾ ਅਭਿਨੰਦਨ ਕਰਦਾ ਹਾਂ।
A: | भारत और यूरोपियन यूनियन की Strategic Partnership को मजबूत करने में आप दोनों के नेतृत्व और योगदान के लिए मैं आपका अभिनंदन करता हूं। | 9 | NIv2 | task1012_pib_translation_punjabi_hindi | zs_opt | [
-0.4506290853023529,
0.6955482959747314,
-0.24536459147930145,
0.35462939739227295,
-0.29446980357170105,
-0.9727651476860046,
0.9445086121559143,
-0.08416073024272919,
0.14920049905776978,
-0.04510430991649628,
-0.07466880977153778,
-0.21212662756443024,
-0.36855587363243103,
0.2441811710... |
Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to compose your answer when possible. Do not change the main selected sentence in your answer.
Q: story: Taylor liked to feed the bears at the dump. His dad warned him not to do it. Taylor didn't care. One day the bears jumped on top of his car to get their treats. Taylor never came back to the dump again.
selected sentence: His dad warned him not to do it.
A: | Taylor's dad warns Taylor not to do it >Causes/Enables> Taylor doesn't care | 9 | NIv2 | task748_glucose_reverse_cause_event_detection | zs_opt | [
-0.4142957031726837,
0.46506035327911377,
0.12066036462783813,
-0.18656191229820251,
-0.7026762962341309,
-0.5688297748565674,
0.47129470109939575,
1.3994063138961792,
-0.20914366841316223,
-0.1358117312192917,
-0.09796465933322906,
0.28541576862335205,
-0.5992633104324341,
-0.313910484313... |
In this task, you need to replace a letter in the sentence with another given letter.
Example Input: Sentence: 'a woman in a floral swimsuit holds a pink umbrella'. Replace the letter 't' with 'l' in the sentence.
Example Output: a woman in a floral swimsuil holds a pink umbrella
Example Input: Sentence: 'a herd of cattle standing on a lush green field'. Replace the letter 'g' with 'f' in the sentence.
Example Output: a herd of cattle standinf on a lush freen field
Example Input: Sentence: 'a professional baseball player following through on a pitch'. Replace the letter 'a' with 'd' in the sentence.
Example Output: | d professiondl bdsebdll pldyer following through on d pitch
| 3 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.9809125661849976,
0.266149640083313,
-0.7921931147575378,
-0.4758179783821106,
0.47430315613746643,
-1.1912832260131836,
-0.23098045587539673,
0.7680476307868958,
-0.0756433829665184,
-0.25070416927337646,
-0.6185637712478638,
0.1163654774427414,
-0.15775564312934875,
-0.058072991669178... |
You will be given a definition of a task first, then some input of the task.
A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
3) ധാന്യ ഉല്പ്പാദനം, അവയുടെ വൈവിദ്ധ്യവല്ക്കരണം എന്നീ മേഖലകളിലെ അനുഭവസമ്പത്തുകളുടെ വിനിമയം.
Output: | Exchange of experience in the field of crop production and theirdiversification | 1 | NIv2 | task1022_pib_translation_malayalam_english | zs_opt | [
-0.7969046831130981,
0.3856862783432007,
0.2956417202949524,
-0.0393265001475811,
-0.030849028378725052,
-0.45587611198425293,
0.40068677067756653,
0.701087474822998,
-0.3180620074272156,
0.08809644728899002,
-0.3831489384174347,
0.14463062584400177,
-0.7504590749740601,
0.3674252331256866... |
You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not include sentences that contain no information that is necessary to answer the question). Sort the sentence numbers in an increasing order (i.e., '1, 2', instead of '2, 1'). Your answer should not contain anything than the sentence numbers separated by a comma (e.g. '1, 2, 3, 4'). The given question requires more than one sentence to answer. So, your answer must contain at least one comma (", ").
Q: Paragraph- Sent 1: Growing up on a farm near St. Paul, L. Mark Bailey didn't dream of becoming a judge.
Sent 2: Even when he graduated from North Decatur High School in 1975, sitting on the bench someday seemed more like a leisurely activity than a career.
Sent 3: Somewhere along the line, all of that changed.
Sent 4: Bailey received his bachelor's degree from the University of Indianapolis in 1978 and a jurisprudence doctorate from Indiana University-Indianapolis in 1982.
Sent 5: After several years of private practice from 1982-90, he became the judge of Decatur County Court for a year.
Sent 6: The Indiana legislature renamed that judgeship and Bailey was tabbed Decatur Superior Court judge from 1992-98, winning reelection twice.
Sent 7: From there, his career continued on the fast track and Bailey was appointed by Gov. Frank O'Bannon to sit on the Indiana Court of Appeals First District, where he works today.
Sent 8: Despite his quick climb up the legal ladder, Bailey has always found time to help out in causes he feels strongly about.
Sent 9: It was for his dedication to the law and the people that are affected by it that he was recently recognized.
Sent 10: The Indiana Pro Bono Commission hosted its annual celebration event, the Randall T. Shepard Dinner, at French Lick Springs Spa in October.
Sent 11: More than 100 judges, lawyers and dignitaries were present for the gathering.
Sent 12: One of the highlights of the event was the presentation of the first-ever Randall T. Shepard award for excellence in pro bono work.
Sent 13: Bailey received the award for his three years of volunteer work at Indiana Pro Bono Commission.
Sent 14: The award was named after the chief justice of the Indiana Supreme Court to honor his statewide vision on justice.
Sent 15: The qualifications for the award were based upon demonstrated dedication to the innovative development and delivery of legal services to the poor in one of the 14 pro bono districts of Indiana.
Sent 16: "This award came as a real surprise to me.
Sent 17: It is truly an honor.
Sent 18: Just being the first chair of the commission which began the implementation of the pro bono process was somewhat humbling.
Question: What award did Bailey get for helping people?.
A: | 8, 9, 12. | 4 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
-0.30131155252456665,
0.22520817816257477,
0.1534745991230011,
-0.1859118640422821,
0.5653743743896484,
-0.3320741653442383,
0.3194819688796997,
0.9490748643875122,
-0.44815802574157715,
-0.1900445520877838,
-0.6599345803260803,
0.1830528974533081,
-0.8654706478118896,
0.25429344177246094,... |
Detailed Instructions: In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their, etc.) or other mentions to people, places, or things to which they may refer. Do not ask questions that can be answered correctly without understanding the paragraph or having multiple answers. Avoid questions that do not link phrases referring to the same entity. For each of your questions, the answer should be one or more phrases in the paragraph, and it should be unambiguous.
See one example below:
Problem: Passage: Nearing London, Oliver encounters Jack Dawkins, a pickpocket more commonly known by the nickname the "Artful Dodger", and his sidekick, a boy of a humorous nature named Charley Bates, but Oliver's innocent and trusting nature fails to see any dishonesty in their actions. The Dodger provides Oliver with a free meal and tells him of a gentleman in London who will "give him lodgings for nothing, and never ask for change". Grateful for the unexpected assistance, Oliver follows the Dodger to the "old gentleman's" residence. In this way Oliver unwittingly falls in with an infamous Jewish criminal known as Fagin, the gentleman of whom the Artful Dodger spoke. Ensnared, Oliver lives with Fagin and his gang of juvenile pickpockets in their lair at Saffron Hill for some time, unaware of their criminal occupations. He believes they make wallets and handkerchiefs.
Solution: Who believes Fagin's gang make wallets and handkerchiefs?.
Explanation: This question is based on the following sentence in the passage "He believes they make wallets and handkerchiefs". It evaluates the understanding that the pronoun "he" refers to name "Oliver". You can ask questions like this one about most pronouns in a paragraph.
Problem: Passage: The idea of building a memorial to honor soldiers killed in action during the Latvian War of Independence first emerged in the early 1920s. On July 27, 1922, the Prime Minister of Latvia, Zigfrīds Anna Meierovics, ordered rules to be drawn up for a contest for designs of a "memorial column". The winner of this contest was a scheme proposing a column 27 meters (89 ft) tall with reliefs of the official symbols of Latvia and bas-reliefs of Krišjānis Barons and Atis Kronvalds. It was later rejected after a protest from 57 artists. In October 1923, a new contest was announced, using for the first time the term "Freedom Monument". The contest ended with two winners, and a new closed contest was announced in March 1925, but, due to disagreement within the jury, there was no result.Finally in October 1929, the last contest was announced. The winner was the design "Shine like a star!" (Latvian: "Mirdzi kā zvaigzne!") by sculptor Kārlis Zāle, who had had success in the previous contests as well. After minor corrections made by the author and supervising architect Ernests Štālbergs, construction began on November 18, 1931. Financed by private donations, the monument was erected by the entrance to the old town, in the same place where the previous central monument of Riga, a bronze equestrian statue of the Russian Emperor Peter the Great had stood from 1910 until the outbreak of World War I. It was calculated in 1935, the year when the monument was unveiled, that in four years of construction 308,000 man-hours were required to work the stone materials alone: 130 years would have been required if one person were to carry out the work using the most advanced equipment of the time. The total weight of materials used was about 2,500 tons: such a quantity of materials would have required about 200 freight cars if transported by railway.
Solution: | How many tons of materials were used to build the memorial that was first thought about being built in the early 1920s? | 4 | NIv2 | task001_quoref_question_generation | fs_opt | [
0.7856301665306091,
0.2795580327510834,
-0.440782368183136,
-0.016527310013771057,
0.6296743154525757,
-0.2726045250892639,
0.7897710800170898,
1.088955044746399,
-0.1969454437494278,
-0.0033226043451577425,
-0.3717828392982483,
0.7716344594955444,
-0.2837415039539337,
0.2829788625240326,
... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist multiple wrong answers, we only need a single wrong answer.
Clinton, Iowa (CNN) The final days before the first-in-the-nation caucuses are agonizing for many Iowa evangelicals as they waver between Ted Cruz and Donald Trump. At events for both GOP presidential candidates across the Hawkeye state, voters say they are torn between backing the committed Christian conservative who is solid on their principles, or the once-liberal, thrice-married candidate who they believe would make the stronger president. Sherry Benson, a 57-year-old graphic designer from Marshalltown, said she is still trying to come to terms with Trump's evolution on abortion. Benson calls abortion "the biggest sin of our country." The anti-Trump television ads detailing his shifts—with arresting clips of the candidate talking about his support for abortion in 1999—have kept that issue fresh on her mind.Evangelicals are among the most reliable caucus-goers every four yearsThey're torn between choosing Donald Trump, Ted Cruz
Question:He cited private acts of generosity that he said _ does not typically boast about -- from financial assistance that he said the mogul offered to a couple who helped him with his broken-down limousine to his aid for an inner city basketball team. | Clinton | 0 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
-0.3812220096588135,
0.8910666704177856,
0.6048482656478882,
-0.04756196588277817,
0.5037614107131958,
-0.07213807851076126,
0.7047055959701538,
1.0779008865356445,
-0.5626116394996643,
0.21537888050079346,
-0.34296107292175293,
0.6291434168815613,
-0.2970930337905884,
0.0674961507320404,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Khamer: បណ្តាអ្នកនយោបាយនៅចក្រភពអង់គ្លេសបន្តលើកកង្វល់អំពីការបាត់បង់ ជាពិសេសព័ត៌មាន ព្រមទាំងសមត្ថភាពរដ្ឋាភិបាលក្នុងការសុវត្ថិភាពនិងប្រមូលរក្សាទិន្ន័យ។
Solution: Yes
Why? The converted Khamer sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
New input: Japanese: その朝警察が受け取った最初の電話の報告では、爆発から１分以内にオールドゲート・イーストで「轟音」がやってくるのが聞こえた。
Khamer: តាំងពីចាកចេញពីការិយាល័យនៅឆ្នាំ2003សំរាប់កំណត់ពេលអាណិត គាត់បានលើកពីការទទួលស្គាល់កញ្ឆាស្របច្បាប់ ហើយឡើងភ្នំ អេវឺរេស ហើយបានចូលនយោបាយជាប្រធានាតិបតេយ។
Solution: | No | 0 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
0.20154988765716553,
-0.457319438457489,
-0.1855878084897995,
0.025879912078380585,
0.11710694432258606,
-0.8868188858032227,
0.10109681636095047,
0.3538234531879425,
-0.4946972131729126,
-0.26017051935195923,
0.2635239362716675,
0.5624439716339111,
-0.1979086697101593,
0.4730273485183716,... |
In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "woman" and "man".
Input: Consider Input: M: I'm sorry I can't go with you to the cinema but to the class to have a test. W: That's too bad. I wish that you could come along.
Output: Where is the man going? (A) To the class. (B) To the cinema. (C) To the library.
Input: Consider Input: M: Hello, Sue. When are you taking off? W: Tomorrow morning, from Beijing. The plane takes off at 5:00, and if everything goes well, I'll be at the hotel by 10:00. M: I can't travel this year because I must finish my work by the end of September.
Output: When is the woman leaving? (A) At 10:00 this morning. (B) At 5:00 this afternoon. (C) At 5:00 tomorrow morning.
Input: Consider Input: M: Have you heard about the manager? F: She's gone to Finland!
| Output: Who are they talking about? (A) The teacher (B) The officer (C) The manager
| 2 | NIv2 | task246_dream_question_generation | fs_opt | [
-0.14197766780853271,
0.8755186200141907,
-0.4893023371696472,
-0.6859273314476013,
0.07780082523822784,
0.6077437996864319,
0.22930574417114258,
0.5236291885375977,
0.18152520060539246,
-0.06413862109184265,
-0.29994577169418335,
0.6024454832077026,
0.30715420842170715,
-0.191956937313079... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example: Review: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! Maureen Stapleton is a scene stealer. The Moroni character is an absolute scream. Watch for Alan The Skipper Hale jr. as a police Sgt. Question: is it a positive review?
Output: yes
There is an expression of appreciation in this movie review, hence we can say it's positive. So generated label is 'yes'.
New input case for you: Review: OK, a slasher movie. a very, very stupid slasher movie.We got your stereotypical teenagers in a house thing going. We got a FBI agent that's seen Dirty Harry one time too many. "So what's the secret....punks?" We got about 4 different little camera shots and scene that make no sense at all. "Hey man, i'm fixing the sprinklers" ((that guy was my favorite part of the movie)) Suddenly there's a preacher tied up on a couch watching home movies, he gets killed.they follow the killer into the middle of nowhere, with no cops. suddenly she's in a church, wearing a wedding dress. i swear this is the stupidest slasher movie i've ever seen. Question: is it a positive review?
Output: | no | 1 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.25545716285705566,
0.1955225020647049,
-0.18445205688476562,
0.681678056716919,
0.6899436712265015,
-0.9736371040344238,
0.46272656321525574,
1.02083158493042,
-0.3405036926269531,
-0.281796932220459,
-0.6436302661895752,
0.2496529221534729,
0.07217390090227127,
-0.3444000482559204,
0... |
Instructions: 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.
Input: how to bake chicken wings
Output: | Preheat oven to 200°. Set a wire rack inside 2 large rimmed baking sheets. ... Bake wings until cooked through and skin is crispy, 25–30 minutes. Line another rimmed baking sheet with foil; top with a wire rack. Add half of wings to ginger-soy glaze and toss to evenly coat. ... Toss remaining half of wings in Buffalo sauce. | 3 | NIv2 | task081_piqa_wrong_answer_generation | zs_opt | [
0.17860424518585205,
1.0245190858840942,
-0.6220064163208008,
0.4142707288265228,
-0.3178030550479889,
-0.5832343101501465,
0.3425367772579193,
0.5929796099662781,
-0.12806729972362518,
0.42903751134872437,
-0.13349658250808716,
0.11921460181474686,
0.020243946462869644,
-0.052954509854316... |
instruction:
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
question:
5891 @ 5687 @ 6434 # 9679 @ 2950 # 5934 @ 1364 @ 6773
answer:
13486
question:
634 # 6766 # 1458 # 4376 @ 9425
answer:
-2541
question:
6912 @ 854 # 1503 # 7597 @ 2442 # 2187 # 1980 # 4516 # 4311
answer:
| -11886
| 9 | NIv2 | task087_new_operator_addsub_arithmetic | fs_opt | [
0.2533377707004547,
0.4279778003692627,
-1.0375081300735474,
0.08046115934848785,
-0.5028749704360962,
-0.26978471875190735,
0.26647090911865234,
1.405705451965332,
0.48962995409965515,
0.09016719460487366,
-0.6486093997955322,
-0.5062766075134277,
0.12224080413579941,
0.030203022062778473... |
Instructions: In this task, you are given a question in Persian, and your task is to translate it into English.
Input: آیا صفرهای تابع ریمان زتا ساده هستند؟
Output: | Are the zeroes of the Riemann zeta function simple? | 3 | NIv2 | task653_parsinlu_fa_en_translation | zs_opt | [
-0.547983705997467,
0.6673747301101685,
-0.042650140821933746,
0.39478015899658203,
0.024572808295488358,
0.17622317373752594,
1.4630953073501587,
0.4528939723968506,
0.8650386333465576,
0.5674475431442261,
-1.1118481159210205,
-0.07468728721141815,
-0.027118977159261703,
0.303504645824432... |
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.
Q: This one has a major problem. It's waaaay too watery, even at the recommended settings. The chocolate flavor is okay, and it's not overly sweet (although it still isn't great dark chocolate flavor). The really issue is that there isn't any creaminess, and adding milk only dilutes the flavor even more. Blech! I'll pass, and I'm throwing the rest of the box out.
A: | Seriously??? | 4 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
0.3936532735824585,
0.8276115655899048,
0.4194002151489258,
-1.1899285316467285,
-0.0533522367477417,
-0.3194417357444763,
0.5989493131637573,
0.4555553197860718,
-0.3127124011516571,
0.411291241645813,
0.38190412521362305,
-0.6692744493484497,
-0.5485348105430603,
-0.0480748750269413,
-... |
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