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 |
|---|---|---|---|---|---|---|
Detailed Instructions: A question is presented to you in this task, and your job is to write a potentially correct answer.
Problem:where is somalia located?
Solution: | Africa | 8 | NIv2 | task1412_web_questions_question_answering | zs_opt | [
0.6770427823066711,
0.7371031045913696,
-0.15423479676246643,
-0.9807075262069702,
-0.32848820090293884,
-0.3866843581199646,
-0.3371281027793884,
0.5049983859062195,
0.5613982081413269,
-0.0688311979174614,
0.1659216284751892,
0.1256137192249298,
-0.1780378520488739,
-0.38427114486694336,... |
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer can be found in the passage, label it as "span". If the answer is a number, label as "number". Similarly, label "date" if you think the answer to the given question is a date.
One example is below.
Q: Passage: The outbreak of the Seven Years' War in Europe in 1756 resulted in renewed conflict between French and British forces in India. The Third Carnatic War spread beyond southern India and into Bengal where British forces captured the French settlement of Chandernagore in 1757. However, the war was decided in the south, where the British successfully defended Madras, and Sir Eyre Coote decisively defeated the French, commanded by Comte de Lally at the Battle of Wandiwash in 1760. After Wandiwash, the French capital of Pondicherry fell to the British in 1761. The war concluded with the signing of the Treaty of Paris in 1763, which returned Chandernagore and Pondichéry to France, and allowed the French to have "factories" in India but forbade French traders from administering them. The French agreed to support British client governments, thus ending French ambitions of an Indian empire and making the British the dominant foreign power in India.
Question: Which french settlement did the British capture first, Chandernagore or Pondicherry?
A: span
Rationale: The answer "Chandernagore" is a word from the passage. So, the answer type is "span".
Q: Passage: Gaozong promoted Qin Hui in 1138 and put him in charge of deliberations with the Jin. Yue Fei, Han Shizhong, and a large number of officials at court criticized the peace overtures. Aided by his control of the Censorate, Qin purged his enemies and continued negotiations. In 1138 the Jin and Song agreed to a treaty that designated the Yellow River as border between the two states and recognized Gaozong as a "subject" of the Jin. But because there remained opposition to the treaty in both the courts of the Jin and Song, the treaty never came into effect. A Jurchen army led by Wuzhu invaded in early 1140. The Song counteroffensive that followed achieved large territorial gains. Song general Liu Qi won a battle against Wuzhu at Shunchang . Yue Fei was assigned to head the Song forces defending the Huainan region. Instead of advancing to Huainan, however, Wuzhu retreated to Kaifeng and Yue's army followed him into Jin territory, disobeying an order by Gaozong that forbade Yue from going on the offensive. Yue captured Zhengzhou and sent soldiers across the Yellow River to stir up a peasant rebellion against the Jin. On July 8, 1140, at the Battle of Yancheng, Wuzhu launched a surprise attack on Song forces with an army of 100,000 infantry and 15,000 horsemen. Yue Fei directed his cavalry to attack the Jurchen soldiers and won a decisive victory. He continued on to Henan, where he recaptured Zhengzhou and Luoyang. Later in 1140, Yue was forced to withdraw after the emperor ordered him to return to the Song court.
Question: Who signed a treaty?
A: | span | 9 | NIv2 | task027_drop_answer_type_generation | fs_opt | [
0.4612509310245514,
0.5755741596221924,
-0.23408189415931702,
-0.4287659823894501,
0.5441588759422302,
-0.6581864356994629,
0.5967086553573608,
0.5952855348587036,
0.0672619491815567,
0.0904373899102211,
-0.08521037548780441,
0.3248920440673828,
-0.7747699022293091,
0.05836769565939903,
... |
instruction:
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
question:
['3063', 'R', 'h', 'O', 'Y', '4265', '1153', 'R', 'x', 'e', '1643', '7835', 'y', 't', '2895', 'u', 'W', 'R', '7865', '3511', 'S', '9895', 'd', '5503', '6153', '8225', '7411', 'U', '6901', '3771', '5397', 'U', '2335', '1269', 'h', 'y', 'd', 'R', '547', 'W']
answer:
1, 6, 7, 11, 12, 15, 19, 20, 22, 24, 25, 26, 27, 29, 30, 31, 33, 34, 39
question:
['g', '7089', '3317', '1039', 'T', 'u', 'c', 'd', '9155', 'z', '3697', 'H', '4887', 'y', '4585', 'c', 'l', 'c', '1223', '9197', '9639', '9727', 'O', '743', 'b', 'Y', 'O', 'x', '6117', '3049', '3927', '7977', 'W']
answer:
2, 3, 4, 9, 11, 13, 15, 19, 20, 21, 22, 24, 29, 30, 31, 32
question:
['1805', 'b', '4453', 'w', 'H', 'd', 'z', 'H', 'M', 'r', 'b', '8311', 'C', 'y', 'e', '9709', 'e', 'l']
answer:
| 1, 3, 12, 16
| 9 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.14827066659927368,
0.21620647609233856,
-0.2669724225997925,
-0.8305153250694275,
0.13899187743663788,
-0.3565070629119873,
0.9114483594894409,
0.7261331081390381,
-0.5173932909965515,
0.13351842761039734,
-0.6995935440063477,
-0.1253407597541809,
-0.16967858374118805,
0.047570168972015... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Ex Input:
E se vi state chiedendo quanti sono 16K, questo logo di eBay è 16K.
Ex Output:
Se vos preguntades canto son 16 kB, este logo de eBay é de 16 kB.
Ex Input:
Quando mi morde la seconda volta, scalcio.
Ex Output:
Cando traba por segunda vez, dou unha patada.
Ex Input:
Detto ciò lasciate che ora vi porti a fare un primo giro nei nostri dati.
Ex Output:
| E con iso, deixádeme levarvos agora a dar unha primeira volta polos datos.
| 1 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-1.1551182270050049,
0.2368895560503006,
-0.5502457618713379,
-0.0671500563621521,
-0.43967336416244507,
-0.6777675151824951,
0.15857939422130585,
1.173805594444275,
-0.15203708410263062,
-0.2626773715019226,
0.4536280632019043,
0.926604151725769,
-0.24775049090385437,
0.08263564109802246,... |
Detailed Instructions: In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
See one example below:
Problem: Questions are gathered from anonymized, aggregated queries to the Google search engine. Queries that are likely to be yes/no questions are heuristically identified: we found selecting queries where the first word is in a manually constructed set of indicator words and are of sufficient length, to be effective.
Questions are only kept if a Wikipedia page is returned as one of the first five results, in which case the question and Wikipedia page are given to a human annotator for further processing.
Annotators label question/article pairs in a three-step process. First, they decide if the question is good, meaning it is comprehensible, unambiguous, and requesting factual information. This judgment is made before the annotator sees the Wikipedia page. Next, for good questions, annotators find a passage within the document that contains enough information to answer the question. Annotators can mark questions as “not answerable" if the Wikipedia article does not contain the requested information. Finally, annotators mark whether the question's answer is “yes" or “no". Annotating data in this manner is quite expensive since annotators need to search entire Wikipedia documents for relevant evidence and read the text carefully.
Solution: how was the dataset built?
Explanation: This is a good question, and it is answerable based on the context.
Problem: Most lexical resources for sentiment analysis are in English. To still be able to benefit from these sources, the lexicons in the AffectiveTweets package were translated to Spanish, using the machine translation platform Apertium BIBREF5
Solution: | How was the training data translated? | 4 | NIv2 | task461_qasper_question_generation | fs_opt | [
-0.2846788167953491,
-0.679934024810791,
0.10140497237443924,
0.6206688284873962,
0.15919266641139984,
-0.5392716526985168,
0.7362133860588074,
0.8720587491989136,
-0.09784890711307526,
0.25801485776901245,
-0.5616931915283203,
0.1327875554561615,
-0.7014209032058716,
0.3897852301597595,
... |
Definition: In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Input: & as much as I hate for a dude to cheat, women forego pleasing their man, they get lazy & men get lazy & then it's just pointless
Output: | Not happy | 2 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
-1.516517162322998,
0.31211674213409424,
0.1983151137828827,
-0.34985554218292236,
0.48371782898902893,
-0.4574928879737854,
0.18336455523967743,
0.3625088334083557,
0.6876230239868164,
0.20594698190689087,
-0.922467827796936,
-0.012000393122434616,
-0.5741490125656128,
-0.5169737339019775... |
Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Q: आप एक विमान छिपाने के लिए बादल का उपयोग कर सकते हैं.
A: | आप एक विमान छोड़ने के लिए साइकिल का उपयोग कर सकते हैं. | 4 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-0.9876513481140137,
0.8650766015052795,
0.08732898533344269,
-0.41439318656921387,
-0.20098906755447388,
-1.2421213388442993,
0.6715877056121826,
0.9126746654510498,
-0.5549461841583252,
-0.38379475474357605,
-0.895384669303894,
0.08596277236938477,
-0.31200873851776123,
0.352112472057342... |
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'.
Q: January 12, 2020 occurs between 02 Jul 2008 and September 06, 2005
A: | False | 4 | NIv2 | task1507_boolean_temporal_reasoning | zs_opt | [
-0.049245983362197876,
-0.12958616018295288,
-0.8482098579406738,
0.5193452835083008,
-0.26949355006217957,
-0.5916773080825806,
-0.16785699129104614,
0.7035456299781799,
-0.5220527648925781,
-0.08348396420478821,
-0.42225807905197144,
-0.039264313876628876,
0.01566053181886673,
-0.3597369... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
What is the part-of-speech tag of the word "people" in the following question: What are the coordinates of the building that holds 2,500 people ?
NNS
What is the part-of-speech tag of the word "of" in the following question: Which college did the holder of the NFL single-season touchdown reception record go to ?
IN
What is the part-of-speech tag of the word "Bo-ra" in the following question: What was the motto for the Olympics in which the flag bearer for South Korea was Lee Bo-ra ?
| NNP
| 0 | NIv2 | task382_hybridqa_answer_generation | fs_opt | [
0.5200791954994202,
0.36116328835487366,
-0.5263324975967407,
0.018006544560194016,
0.23264771699905396,
-0.8616125583648682,
0.8971220254898071,
0.5118732452392578,
-0.8141602873802185,
-0.11294980347156525,
-0.5458632707595825,
0.5259624123573303,
-0.1333761066198349,
0.3638978898525238,... |
Q: Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Except Kinemaster you can say movavi clips
A: | Hope Speech | 7 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
-0.901273250579834,
-0.18824781477451324,
0.6052836775779724,
0.5818330645561218,
-0.04952406883239746,
-0.590757429599762,
-0.5593183040618896,
1.2145835161209106,
-0.7553625106811523,
0.48927581310272217,
0.2922986149787903,
-0.11047521233558655,
-0.007776603568345308,
-0.584367752075195... |
Detailed Instructions: Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correct answer words must lie within the associated fact. The correct answer can be a word, phrase, or even a sentence.
Problem:Fact: antigens are a group of atoms that the immune system recognizes as foreign to the body.
Question: what type of antigens does the immune system recognize as foreign to the body?
Solution: | group of atoms. | 8 | NIv2 | task041_qasc_answer_generation | zs_opt | [
0.8169499635696411,
0.9975124001502991,
-0.16448946297168732,
-0.00900912843644619,
-0.2827560305595398,
-1.7171039581298828,
0.7436639070510864,
0.31256410479545593,
0.7561720609664917,
-0.0849190205335617,
-1.395961046218872,
1.15802001953125,
-1.0103580951690674,
-0.1245526373386383,
... |
In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ .
One example is below.
Q: For four years we have waited expectantly for the pitter patter of tiny paws. Soon, that wait could finally be over. Tian Tian, the UK's only female giant panda, has conceived and could give birth to a cub as early as August. However Edinburgh Zoo, where the pandas live, have warned people 'not to get too excited' as the process is 'extremely complex'. Moreover, on the two previous occasions keepers inseminated Tian Tian - whose name means 'Sweetie' - she has failed to produce a panda cub. She was artificially inseminated again in March this year, but keepers at the zoo say implantation - when a fertilised egg attaches to the uterus - has not yet occurred.Tian Tian has conceived and could give birth to a cub as early as August. She has been inseminated twice before but so far failed to produce a cubTian Tian and Yang Guang arrived in 2011 from China to great fanfareOn loan at £600k a year, became first giant pandas to live in UK for 17 years
A: Under the terms of the agreement any cubs will return to _ at the age of two, the age at which they would normally leave their mother in the wild.
Rationale: This is a good example. Based on the passage you can answer this question.
Q: A newspaper photographer was repeatedly punched by the father of a missing girl in a violent melee outside court. Ian Antonio struck Townsville Bulletin senior photographer Scott Radford-Chisholm in the head outside a coronial inquest into daughter Rachel's Anzac Day 1998 disappearance. It was the third time Mr Antonio had become violent towards the media in two days and was unprovoked, Townsville Bulletin editor Lachlan Heywood told AAP. In footage of the aftermath of the attack, a man is heard accusing Radford-Chisholm of 'running after' the family. 'It's a sensitive case,' Mr Heywood told AAP. 'We obviously understand the pressure the family is under, but this newspaper ... has also done a lot of hard work to get this inquest heard.'Newspaper photographer repeatedly punched by dad of missing girlRachel Antonio vanished on Anzac Day 1998 and has not been seen sinceBystanders dragged Mr Antonio away from the melee
A: | _-Chisholm was only doing his job and was shaken by the incident, Heywood said. | 9 | NIv2 | task301_record_question_generation | fs_opt | [
-0.13512596487998962,
0.3596765100955963,
-0.2618882954120636,
0.07305046916007996,
0.26913073658943176,
0.2700505554676056,
0.23402923345565796,
1.088348150253296,
-0.4130745530128479,
0.5793341398239136,
0.033663779497146606,
0.5903197526931763,
-1.0844777822494507,
0.4142696261405945,
... |
Given the task definition and input, reply with output. 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".
Review: The second alternate Gundam universe tale (G-Gundam being the first), Gundam Wing is yet another different view into the Gundam verse. The familiar elements are found but Gundam Wing is actually different then its counterparts. The biggest being the Gundams are nothing more than terrorists combating one lone organization. In truth, the series doesn't really become a show about war until episode 7 but in truth the real conflict, the Eve Wars, don't happen until the later episodes. The greatest positives of this series are it's characters. All the main characters are fleshed out throughout the 49 episode run and you can really sympathize with each of the roles their put in. Another great plus is the fantastic character and mecha design of the series. The designs put some of it's other Gundam counterparts to shame. One of the biggest criticism of this series is how many die hard UC fans claim rip off of the original UC saga. Why Gundam Wing gets this rap when the more apparent UC clone of Gundam Seed is out there is beyond me. True there are many moments lifted but their told in new ways and there are distinct differences as well.Take for example, the usual comparison of Zechs Merquise and UC Icon Char Aznable. Throughout the series, Zechs is more the outcast in the Alliance and in ways OZ as well, while the Red Comet was shining symbol of Zeon. Another big difference is the fact Zechs loses a lot soldiers under his command hence the other nickname he's given in the early episodes: "Killer of his own men." Char isn't given this label. The problems with this series isn't the philosophy mumbo jumbo but two problems. The first is the reused animation footage of the Gundams attacks. Sure it's fun seeing Heavy Arms attack tanks, MS, and planes the first time. But on it's fourth re-use scenes like this do get old. The second problem is that the entire series is supposed to take place during an entire year. If you really think about all the events springing in the series, a lot happens in just one lone year. But I guess you can easily dismiss this fact when ignoring the intro's first lines every so often. As it ranks, this is probably the best of the Alternate universe Gundam tales and a great introduction into the Gundam world. After all, this was the very first Gundam anime to air in the US television. Question: is it a negative review?
| no | 5 | NIv2 | task285_imdb_answer_generation | zs_opt | [
-0.4732348918914795,
-0.0009536913130432367,
0.02049119770526886,
-0.22749850153923035,
0.1951795220375061,
-1.1935675144195557,
0.44872015714645386,
0.7146717309951782,
-0.7378280162811279,
0.1305343210697174,
-0.38293957710266113,
-0.212808758020401,
-0.35784661769866943,
-0.024439690634... |
In this task, you are given two sentences in the English language (Sentence 1 and Sentence 2). Your task is to identify the connecting word between the two sentences.
Input: Consider Input: Sentence 1:After being fired by the Chicago Bears after the Bears poor 2009 season , Turner was hired as offensive coordinator by Stanford . Sentence 2:However , four weeks later he became wide receivers coach for the Indianapolis Colts .
Output: however
Input: Consider Input: Sentence 1:Moondog had released no music for twelve years since his 1957 album The Story of Moondog . Sentence 2:Finally , in 1969 , producer James William Guercio invited him to record an album for Columbia Records .
Output: finally
Input: Consider Input: Sentence 1:In performance he and his wife ( Robin Bryan ) form the duo Body & Soul . Sentence 2:Additionally he together with : Nelson Hill , Tom Kozic , Craig Kastelnik , and Gary Rissmiller form the quintet CO-OP BOP .
| Output: additionally
| 2 | NIv2 | task563_discofuse_answer_generation | fs_opt | [
-0.19623473286628723,
0.35220858454704285,
-0.5354692935943604,
0.3042217493057251,
0.34695711731910706,
-0.18315929174423218,
-0.5067371129989624,
0.13981026411056519,
-0.21981267631053925,
-0.0618499256670475,
-0.25812792778015137,
-0.6476718187332153,
-0.8624320030212402,
-0.22088447213... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Eu construín un reactor de fusión cando tiña 14 anos.
A: | それは14歳のときに核融合炉を自分で作ったからです | 7 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.051985614001750946,
1.1125881671905518,
-0.05955566465854645,
-0.5297963619232178,
-0.4938874840736389,
-0.7591389417648315,
0.16375163197517395,
0.8499829769134521,
-0.016889743506908417,
-0.3150328993797302,
-0.06806124001741409,
-0.1452135443687439,
-0.669913649559021,
0.165143460035... |
TASK DEFINITION: Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not write answers that address the question partially or incorrectly. The correct answer must be contained in the given paragraph.
PROBLEM: Paragraph- Sent 1: When single father Thurman Williams needed help filling out papers in a custody suit recently, he didn't look to his lawyer for help.
Sent 2: He walked to a computerized kiosk at the Lamoreaux Justice Center in Orange and started tapping the keys.
Sent 3: As part of a legal experiment, litigants without lawyers across California are using computerized video kiosks to prepare common court filings and seek basic legal advice.
Sent 4: The kiosk used by Williams is part of a statewide effort to cope with a flood of litigants who cannot afford or refuse to hire lawyers.
Sent 5: Court officials statewide fear the number of self-represented litigants has reached crisis levels and threatens to clog court calendars.
Sent 6: Like Williams, more than 6,000 Orange County litigants have initiated court actions on I-CAN!
Sent 7: kiosks or accessed the programs on the Internet, using home computers.
Sent 8: Similar programs are operating in Sacramento, San Diego and Ventura.
Sent 9: A recent study of the kiosks' first 18 months of operation concluded it is too soon to tell if the system will relieve pressure on court calendars.
Sent 10: But the report, by UC Irvine's School of Social Ecology, said users were overwhelmingly positive about the free legal assistance.
Sent 11: "It's made life a lot easier for me," Williams said.
Sent 12: "It's helped keep me from going to the poorhouse."Sent 13: The 29-year-old Orange resident was directed to a kiosk in the Lamoreaux Justice Center by court staff.
Sent 14: After putting on headphones and following the directions of a videotaped instructor, Williams filled out a quarter-inch stack of paternity and custody documents.
Sent 15: The exercise took 20 minutes; it would have cost him about $800 if he had relied on a lawyer, he said.
Sent 16: "It was a lot easier than I thought."Sent 17: Whether they can't afford a lawyer or just want to save money, more Californians are going to court without a lawyer.
Sent 18: "I'm just amazed at the numbers," said Commissioner Salvador Sarmiento, who hears between 40 and 90 child-support cases a day in Lamoreaux Justice Center.
Question: Who made this remark: "It's helped keep me from going to the poorhouse.".
SOLUTION: Thurman Williams.
PROBLEM: Paragraph- Sent 1: For the past 20 years, attorney Richard M. Smith has helped senior citizens with their legal needs, free of charge.
Sent 2: But Smith, like many volunteers, doesn't want any accolades.
Sent 3: "I'm no saint," the 80-year-old Tallahasseean said.
Sent 4: "I'm just a country lawyer."Sent 5: His assistant, attorney Twyla Sketchley, sat behind his shoulder and silently mouthed, "He is a saint."Sent 6: Every month, Smith visits the Smith Williams Center in the Bond community and the Wakulla County Senior Citizens Council building in Crawfordville to advise seniors on wills, power of attorney and other legal matters.
Sent 7: Smith practiced law for a living until 1982.
Sent 8: Since then, he's been semi-retired, devoting himself to helping fellow seniors who are needy.
Sent 9: "I'm getting unable to do much physically, but my brain hasn't quit," said Smith, who walks with a cane.
Sent 10: "And I'd rather people ask a foolish question now than have them make a dumb mistake later."Sent 11: Smith and Sketchley helped Beatrice Jackson at the Smith Williams Center on Wednesday.
Sent 12: Jackson, who said she was "over 60," needed help with estate planning.
Sent 13: "He's not through with me yet ... but he's done a real good job," said Jackson, a retired state worker.
Sent 14: Over the years, Smith said, he's helped clients with not only wills but also adoptions, divorces and even animal control cases.
Sent 15: "Someone's cat was bit by a dog, as I recall," he said.
Sent 16: Smith coordinates his volunteer lawyering through Legal Services of North Florida, a nonprofit organization serving low-income families and individuals.
Sent 17: "He's such a fine, fine person," said executive director Kris Knab.
Sent 18: Without him, "There would be a huge (number) of people who would go without assistance.
Question: How old was Richard when he started helping senior citizens free of charge?.
SOLUTION: 60 years old.
PROBLEM: Paragraph- Sent 1: Reuters Holdings PLC said Michael Reupke resigned as general manager to pursue unspecified interests, a move the news organization termed an "amicable separation."Sent 2: Mr. Reupke, 52 years old and a 27-year Reuters veteran, had been the information-services company's general manager for only six months.
Sent 3: His appointment to that post, which has senior administrative, staff and policy responsibilities, followed a several-year tenure as Reuters's editor in chief.
Sent 4: No successor was named, and Mr. Reupke's duties will be split among three other senior Reuters executives, the company said.
Sent 5: In a telephone interview, Mr. Reupke said his departure was for "personal reasons," which he declined to specify.
Sent 6: "There is no business reason for my departure," nor any disagreement over policy, he added.
Sent 7: He also rejected reports that his departure stemmed from disappointment the general manager's post hadn't also led to a board directorship at the London-based news organization.
Sent 8: Mr. Reupke was one of three executives on Reuters's eight-person executive committee who didn't also serve on the company's board of directors.
Sent 9: "If I were choosing the people of tomorrow, I would have chosen the people who are now on the board," he said.
Sent 10: A Reuters spokesman said the departure reflects "no change in strategy or profits."Sent 11: Mark Shepperd, an analyst at UBS Philips & Drew in London, said, "I suspect (the departure) will be fairly irrelevant for the company.
Sent 12: I would be very surprised if his departure signals any change in strategy or change in profit expectations."Sent 13: On London's Stock Exchange, Reuters shares rose five pence to 913 pence ($14.43).
Sent 14: In the U.S. over-the-counter market, American depositary shares for Reuters, each representing three shares in the London market, closed unchanged at $43.875.
Sent 15: The senior of the three executives who will assume Mr. Reupke's duties is Nigel Judah, 58, finance director and a Reuters board director.
Sent 16: Peter Holland, 45, deputy general manager, becomes director of corporate affairs.
Sent 17: And Patrick Mannix, 46, international technical manager, becomes director of group quality programs.
Question: Have all Reuters general managers: held positions on the board of directors, not held positions on the board of directors, or varied in whether they held positions on the board of directors?.
SOLUTION: | They have varied in whether they have held positions on the board of directors.
| 8 | NIv2 | task054_multirc_write_correct_answer | fs_opt | [
0.6475541591644287,
0.571151852607727,
-0.4571295380592346,
-0.46193400025367737,
0.7348002195358276,
-0.017773985862731934,
0.5945285558700562,
1.1023141145706177,
-0.09115037322044373,
0.15006548166275024,
-0.0021312288008630276,
0.7499340772628784,
-0.5290963649749756,
0.103529229760169... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Q: כמו שמעצבים, חוקרים ומדענים מנסים למפות מערכות מורכבות שונות, בכמה מובנים הם משפיעים על תחום האמנות המסורתי, כמו ציור ופיסול, ומשפיעים על סוגים רבים של אמנויות.
A: فالمصممون و الباحثون والعلماء يحاولون تعيين مجموعة متنوعة من الأنظمة المعقدة ، وهم في العديد من الطرق يؤثرون على مجالات الفن التقليدية مثل الرسم والنحت ، والتأثير على العديد من الفنانين.
****
Q: שיערתי כי הדבר היקר ביותר שאותו אוכל להקריב היה קולי שלי, אך אז לא הבנתי שוויתרתי עליו כבר לפני זמן רב.
A: حسبت أن أثمن ما أستطيع التضحية به هو صوتي ، لكن كان وكأنني لم أدرك أني تخليت عنه منذ زمن طويل.
****
Q: אבל לפני זמן מה גיליתי שאם אני מכסה את עיני השמאלית, אני רואה את זה.
A: | ولكن فيما مضى, اكتشفت انني اذا غطيت عيني اليسرى, بدلا من ذلك, احصل على هذا
****
| 4 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.4609062373638153,
0.1641676276922226,
0.15624397993087769,
-0.5538817644119263,
-0.07652473449707031,
-0.20249567925930023,
0.5041596293449402,
0.29906409978866577,
0.508423924446106,
-0.40273940563201904,
-0.5228431224822998,
0.35555300116539,
-0.7028118371963501,
-0.04247836023569107,... |
Part 1. Definition
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional information about the situation that might weaken or strengthen the hypothesis. A weakener is a statement that weakens the hypothesis, that is, it makes you much less likely to believe the hypothesis is true. A strengthener is a statement that strengthens the hypothesis, that is, it makes you much more likely to believe the hypothesis is true. Your task is to answer with 'strengthener' or 'weakener' if the update strengthens or weakens the hypothesis, respectively.
Part 2. Example
Premise: Old man crafting something in his workshop.
Hypothesis: An old man is working.
Update: The man is serious and is surrounded by workers.
Answer: strengthener
Explanation: If the old man is serious and surrounded by workers, it is more likely that he is working.
Part 3. Exercise
Premise: The three girls sat on the beach.
Hypothesis: The three girls sat on the beach gazing at the water.
Update: There are several crabs walking in front of them in the ocean.
Answer: | strengthener | 7 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
0.3203108310699463,
-0.023329470306634903,
-0.5405287742614746,
-0.3955424427986145,
-0.017860207706689835,
-0.7106609344482422,
0.8361048698425293,
1.450890302658081,
0.5875009298324585,
-0.2911547124385834,
-1.0890401601791382,
0.029564430937170982,
-0.8190573453903198,
0.000953109236434... |
Detailed Instructions: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Problem:Lakisha told us all about the recent depressing events.
Solution: | female | 8 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt | [
-0.3781006932258606,
0.36251550912857056,
-0.5413609743118286,
-1.263551950454712,
-0.7091811895370483,
-0.5247178673744202,
0.8147709369659424,
0.06955744326114655,
0.6145569086074829,
0.20506426692008972,
-1.2879993915557861,
0.08395205438137054,
-0.44674617052078247,
0.6160563230514526,... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Looking forward to a FREE IRAN. There are so many beautiful women there.
positive
happpy momma's day (: doing work & waiting for momma to come back from church. then major kiss-ass-ness cuz i was bad this morning
negative
Soon going to the gym, getting summer ready ! (still tired of being without a phone )
| negative
| 0 | NIv2 | task195_sentiment140_classification | fs_opt | [
-0.9263283610343933,
0.49380356073379517,
0.5072404742240906,
0.4973059296607971,
0.006252437364310026,
-0.23655688762664795,
0.05487433820962906,
0.9246796369552612,
0.47867289185523987,
0.9762434959411621,
-1.005728006362915,
-0.23443105816841125,
-0.14216046035289764,
-0.671126425266265... |
Detailed Instructions: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Q: तुम मुझे उल्लू बना रहे हो?
A: | You're shitting me? | 9 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
-0.5743091106414795,
1.0585920810699463,
0.006678151898086071,
0.2497541308403015,
-0.1700182557106018,
-1.312753438949585,
0.08252716809511185,
0.09712810814380646,
-0.43669116497039795,
-0.20388633012771606,
0.09188158065080643,
0.0461367703974247,
-0.5592108368873596,
0.4878111779689789... |
Instructions: In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Input: Text: like many of us, i was home for this holiday season. the night after thanksgiving my parents hosted a dinner party for their friends (about 25-30 people or so).
a few minutes before the guests arrived my mom asked me to play some holiday music "with that fancy wifi thing you do" (aka airplay streaming to our stereo in the living room). i pulled up some pandora dinner party music and set it to play through the built-in speakers throughout the house. the tunes started and i put my phone back in my pocket and completely forgot about it.
about an hour and a half later i was upstairs browsing reddit while hiding from the guests when i came across a /r/gonewild link in /r/all. well.. one thing led to another and i was one youporn or whatever browsing for some fap material in the upstairs bathroom. i found what looked like some quality girl on girl shit and loaded it up. it started, but no sound! i flipped the silent switch on the side of my phone, still no sound! i slid the volume slider to max! but still no sound! i fast forwarded, thinking it was a sync error. still nothing!
just then, i could hear everyone stop talking down stairs, allowing for the faint moaning sound of the girl receiving oral to make its way up stairs.
i paused it as fast as possible. at this point i had *no fucking idea* what i could say to get out of this. so, attempting to be resourceful, i opened up a tech pod cast and played about 10 seconds worth, then the npr app and played some news, then music and played some rap. then like a complete dumb ass i recorded myself in the most robotic and muffled voice i could muster saying "we apologize for the technical difficulties. your station should be back shortly" and played it back. i have no fucking idea how convincing it sounded because i couldn't hear it being played from the bathroom.
anyways, i hid up stairs in my room for the rest of the night. neither parent mentioned it the next morning, but that probably means they don't want to witness me sweat out some shitty lie explaining it.
Output: | used my phone to wirelessly play party music over whole-house sound system. went up stairs to fap and played porn for whole party to hear. tried to cover it up by playing random other sounds and masquerading as a "pandora technician" apologizing for the "glitch." | 3 | NIv2 | task511_reddit_tifu_long_text_summarization | zs_opt | [
0.08426264673471451,
0.2987741231918335,
-0.9695781469345093,
-0.15114471316337585,
0.013950332999229431,
-0.1200808733701706,
0.7547403573989868,
0.9163306951522827,
-0.2125658541917801,
-0.03791769593954086,
0.2203453779220581,
0.11624712496995926,
-0.6473502516746521,
-0.571975708007812... |
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 question. Your task is to generate an answer that is relevant to the question.
Are you willing to do shopping with me?
Solution: I only like to shop during festivals
Why? Based on the given question and answer, the dialogue is about shopping, so the question and answer are relevant.
New input: Do you have house chores to do this weekend?
Solution: | I always have a Saturday to-do list. | 0 | NIv2 | task565_circa_answer_generation | fs_opt | [
-0.23670922219753265,
0.3091929852962494,
-0.08452174067497253,
0.2756655812263489,
-0.07291926443576813,
-0.3235851526260376,
0.5606063604354858,
0.24586495757102966,
0.2548779845237732,
0.1102287545800209,
-0.48561859130859375,
-0.1035870611667633,
-0.30894556641578674,
0.398322463035583... |
In this task, you are given a hateful post in English from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Post: Girls are not human beings, they're objects | Generic | 0 | NIv2 | task337_hateeval_classification_individual_en | zs_opt | [
-1.065091848373413,
0.1083398163318634,
0.6433624029159546,
-0.5432862639427185,
-0.01039945613592863,
-1.04350745677948,
0.7267230749130249,
0.3959890604019165,
-0.02180558443069458,
0.33747392892837524,
-0.38574790954589844,
0.12660789489746094,
-0.036847859621047974,
-0.5803532004356384... |
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Example Input: How do confident people act socially in their mid 20's compared to their mid 30's?
Example Output: Would you start a PhD in your mid 30's?
Example Input: What should one do to prepare for the CAT and GRE?
Example Output: How can I prepare for the GRE?
Example Input: What is the process of recruitment of PWC?
Example Output: | How can one get an interview with one of the big four consulting firms?
| 3 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
-0.751440167427063,
1.0518443584442139,
-0.13454028964042664,
-0.60577392578125,
-0.3917202949523926,
-0.16064050793647766,
0.9833686351776123,
0.4142381250858307,
0.5812604427337646,
-0.03545574098825455,
-0.534608006477356,
0.5065637826919556,
-1.081275224685669,
-0.06585198640823364,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in English. Your job is to translate the English sentence into Persian.
In the southwestern part of Nigeria, the plant is known as Gbe'borun.
Solution: در جنوب غرب نیجریه ، این گیاه به عنوان Gbe 'borun شناخته می شود.
Why? The English sentence is correctly translated into Farsi, because the meaning is preserved.
New input: The Lord God be with him, and let him go up. '"" "" Go up "" — aaleh.
Solution: | خداوند منتظر اوست ، و اجازه دهید که او به "" نزد خدا برود "" — "" برو "". خداوند منتظر اوست ، و اجازه دهید که او به "" نزد خدا برود "" — "" برو "". خداوند منتظر اوست ، و اجازه دهید که او به "" نزد خدا برود "" — "" برو "". | 0 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-0.38251015543937683,
0.4850703775882721,
0.37834587693214417,
-0.08103236556053162,
-0.2182515263557434,
-0.7932054996490479,
0.9892866015434265,
0.7124175429344177,
-0.24671711027622223,
0.07545758783817291,
-1.2576111555099487,
0.2954387068748474,
-1.2726843357086182,
0.5999441146850586... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Example: Tracy slept awkwardly on their new bed and was having some pain, so Tracy cracked her neck.
Output: What did Tracy do with her neck?
The question asked is relevant and can be directly answered by referring to the phrase "so Tracy cracked her neck" from the passage.
New input case for you: Addison became Alex's agent who was one of the worst people to work for in the business.
Output: | What will happen to Alex? | 1 | NIv2 | task596_mocha_question_generation | fs_opt | [
-0.18751341104507446,
0.9264140129089355,
-0.11459586024284363,
0.4968854784965515,
0.1950094848871231,
0.3603619337081909,
0.5661274790763855,
0.4470844864845276,
0.38222062587738037,
0.530034601688385,
-0.35958564281463623,
-0.3423177897930145,
-0.3253346383571625,
-0.14478737115859985,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
في منتصف تحضيري للدكتوراة ، كنت عالقاً بلا أمل. | 博士課程の途中で私は行き詰まりどうしようもなくなりました | 0 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
-0.5993692278862,
0.09859982132911682,
0.12354614585638046,
-0.8092876672744751,
-0.6618587374687195,
1.2505698204040527,
0.7122005224227905,
0.7231560945510864,
0.07159270346164703,
-0.8311086893081665,
-0.21887196600437164,
-0.5022569894790649,
-0.20227152109146118,
0.6451176404953003,
... |
You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: ਇਸ ਭਾਗ ਵਿੱਚ <MASK> ਲੇਖਕਾਂ, ਜੋ 'ਦੂਜੀ ਸਲਤਨਤ' ਦੇ ਸਨ, ਵਿੱਚੋਂ ਕਈਆਂ ਨੇ ਕਲਾ ਕਲਾ ਲਈ ਦਾ ਸਿਧਾਂਤ ਤਿਆਗ ਦਿੱਤਾ। ਉਦਾਹਰਨ ਵੱਜੋਂ ਅਗੈਗਜ਼ਾਂਡਰ ਡੂਮਾ(ਸਪੁੱਤ੍ਰ) ਨੇ ਕਲਾ ਸੰਬੰਧੀ ਸਪੱਸ਼ਟ ਸ਼ਬਦਾ ਵਿੱਚ ਕਿਹਾ ਕਿ, "ਕਲਾ ਕਲਾ ਲਈ ਦਾ ਕੋਈ ਅਰਥ ਨਹੀਂ।" ਇਸ ਭਾਗ 'ਚ ਹੋਰ ਵੀ ਕਈ ਮਹੱਤਵਪੂਰਨ ਚਰਚੇ ਹਨ।
Option A: ਪੈਰਿਸ
Option B: ਅਰਕਾਂਸਸ
Option C: ਫ਼ਰਾਂਸੀਸੀ
Option D: ਬ੍ਰਾਜ਼ੀਲ
ਫ਼ਰਾਂਸੀਸੀ
Statement: ਗੁਜਰਾਤ ਦੇ ਫਰਜ਼ੀ ਮੁਕਾਬਲਿਆਂ ਦੀ ਰਾਣਾ ਅਯੂਬ ਦੀ ਤਫ਼ਤੀਸ਼ ਨੂੰ <MASK> ਰਸਾਲੇ ਨੇ ਸੰਸਾਰ ਭਰ ਦੇ ਸਭਨਾਂ ਸਮਿਆਂ ਦੀਆਂ ਵੀਹ ਮਹਾਨ ਮੈਗਜ਼ੀਨ ਕਹਾਣੀਆਂ ਵਿੱਚੋਂ ਇੱਕ ਦੇ ਰੂਪ ਸੂਚੀਬੱਧ ਕੀਤਾ ਹੈ। ਨਰਿੰਦਰ ਮੋਦੀ ਬਾਰੇ ਉਸ ਦੀ ਕਿਤਾਬ 25 ਮਈ 2016 ਨੂੰ ਰੀਲਿਜ਼ ਕੀਤੀ ਗਈ। ਉਸ ਇੱਕ ਸਵੈ ਪ੍ਰਕਾਸ਼ਿਤ ਪਾਠ "ਗੁਜਰਾਤ ਫਾਇਲਜ਼: ਅਨੌਟਮੀ ਆਫ਼ ਏ ਕਵਰ ਅੱਪ" ਦੀ ਲੇਖਕ ਹੈ।
Option A: ਹੰਗਰੀਆਈ
Option B: ਭਾਰਤੀ
Option C: ਆਉਟਲੁੱਕ
Option D: ਤਹਿਲਕਾ
ਆਉਟਲੁੱਕ
Statement: ਵਿਰਕ ਦੀਆਂ ਬਹੁਤ ਸਾਰੀਆਂ ਕਹਾਣੀਆਂ ਭਾਰਤੀ ਤੇ ਵਿਦੇਸ਼ੀ ਭਾਸ਼ਾਵਾਂ ਵਿੱਚ ਅਨੁਵਾਦ ਹੋਈਆਂ ਹਨ। ਧਰਤੀ ਹੇਠਲਾ ਬਲ੍ਹਦ ਦੇ ਨਾਂ ਹੇਠ ਇੱਕ ਪੁਸਤਕ <MASK> ’ਚ ਪ੍ਰਕਾਸ਼ਤ ਹੋਈ। ਧਰਤੀ ਹੇਠਲਾ ਬਲ੍ਹਦ, ਦੁੱਧ ਦਾ ਛੱਪੜ, ਖੱਬਲ ਆਦਿ ਟੈਲੀਵਿਜ਼ਨ ਤੇ ਨਾਟਕ ਦੇ ਰੂਪ ਵਿੱਚ ਪੇਸ਼ ਕੀਤੀਆਂ ਗਈਆਂ।
Option A: ਰੂਸ
Option B: ਦਿੱਲੀ
Option C: ਚੰਡੀਗੜ
Option D: ਅੰਮ੍ਰਿਤਸਰ
| ਰੂਸ
| 0 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
-0.7702793478965759,
0.5961955785751343,
0.135819673538208,
0.05613940209150314,
-0.012301608920097351,
-0.04974018782377243,
0.4105953872203827,
0.3761534094810486,
0.0830456092953682,
-0.06427402794361115,
-0.5633218288421631,
0.16920417547225952,
-0.4453817307949066,
-0.366497665643692,... |
Given the task definition, example input & output, solve the new input case.
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common', 'cvg', 'opera', 'olympics', 'chemistry', 'visual_art', 'conferences', 'sports', 'language', 'travel', 'location', 'award', 'dining', 'martial_arts', 'comic_strips', 'computer', 'user', 'tennis', 'music', 'organization', 'food', 'event', 'transportation', 'fictional_universe', 'measurement_unit', 'meteorology', 'distilled_spirits', 'symbols', 'architecture', 'freebase', 'internet', 'fashion', 'boats', 'cricket', 'film', 'medicine', 'finance', 'comic_books', 'celebrities', 'soccer', 'games', 'time', 'geography', 'interests', 'common', 'base', 'business', 'periodicals', 'royalty', 'education', 'type', 'religion', 'automotive', 'exhibitions'.
Example: What country has borders with Libya, Sudan and Israel?
Output: location
This question is about a physical place, so is classified as 'location'
New input case for you: Which early Bob Dylan album and its title song reference a Texan gunfighter?
Output: | music | 1 | NIv2 | task900_freebase_qa_category_classification | fs_opt | [
0.23587119579315186,
0.09738782048225403,
-0.19161973893642426,
-0.13162246346473694,
0.7392129898071289,
0.30764099955558777,
0.682948887348175,
0.5927486419677734,
-0.31685054302215576,
0.2361719161272049,
-0.13849729299545288,
0.02365603670477867,
-0.34518158435821533,
-0.20838373899459... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix' instead of 'one thousand seven hundred six'.
twotwoonesixzeronine
Solution: 221609
Why? The string is properly converted into a number based on the spelling of each digit. The string started with 'twotwo' therefore the number also started with '22'. This is a good example.
New input: sixoneeightzerosevenfivethreethreeeightzero
Solution: | 6180753380 | 0 | NIv2 | task1443_string_to_number | fs_opt | [
-0.45032840967178345,
1.0157146453857422,
-0.36129796504974365,
-0.8843803405761719,
-0.3124103546142578,
0.04427466168999672,
0.965666651725769,
0.0071296608075499535,
0.005548571236431599,
-0.3800206184387207,
-0.5168620347976685,
-0.22053766250610352,
-0.9314265251159668,
0.067703589797... |
Teacher: Two analogies that signify affordances are given in the form "A : B. C : ?". Affordance is the possibility of an action being done on an object, for example book is an affordance of writing. The phrase "A : B" implies that B is an affordance of A. Your task is to replace the question mark (?) with the appropriate affordance of the given action C, following the "A : B" relation. Your answer should be a single object without further explanation.
Teacher: Now, understand the problem? If you are still confused, see the following example:
cure : disease. swing : ?
Solution: sword
Reason: The given analogy implies that diseases can be cured - an affordance relation. Hence, the appropriate answer for swing is sword, since swords can be swung.
Now, solve this instance: wield : sword. climb : ?
Student: | tree | 2 | NIv2 | task1153_bard_analogical_reasoning_affordance | fs_opt | [
-0.08711223304271698,
0.9527583122253418,
-0.3398114740848541,
-0.012361250817775726,
0.024943668395280838,
-0.15652918815612793,
1.1561226844787598,
0.6710658073425293,
0.3292592763900757,
-0.44989967346191406,
-0.12124022096395493,
0.7003045082092285,
-0.22717802226543427,
0.087698362767... |
In this task, you are given one French sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into English.
La plupart des cas présentent une rectite sévère consécutive à des rapports anaux non protégés.
Most cases presented with severe proctitis which is associated with unprotected anal intercourse.
Le taux de mortalité global est proche de 50 %. Il varie selon les manifestations cliniques, l’âge du patient et la prise en charge médicale.
The overall death rate is close to 50%, depending on the clinical presentation, patient’s age and medical support.
Les maladies à vecteur sont transmises par des arthropodes tels que les tiques (comme l’encéphalite à tiques, la maladie de Lyme), les moustiques (comme la fièvre Chikungunya, la fièvre dengue) ou les mouches des sables (comme la leishmaniose viscérale).
| Vector-borne diseases are transmitted by arthropods such as ticks (e.g. tick-borne encephalitis (TBE), Lyme disease), mosquitoes (e.g. Chikungunya fever, Dengue fever), or sandflies (e.g. visceral leishmaniasis).
| 0 | NIv2 | task1397_europa_ecdc_tm_fr_en_translation | fs_opt | [
-0.44946253299713135,
0.46451738476753235,
-0.16114261746406555,
-0.13230130076408386,
-0.32118362188339233,
-0.20368686318397522,
0.015406139194965363,
0.3774513900279999,
0.2827722728252411,
0.48746737837791443,
-0.48571228981018066,
0.3649866580963135,
-0.0756828784942627,
0.40228208899... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Example: وأعتقد أنه في القريب سوف ترى المرضى يعالجون بواسطة خلاياهم الجذعية المستخرجة من الدهون أو المستخرجة من الحيوانات
Output: Penso che abbastanza presto vedrete pazienti curati con le cellule staminali derivanti dal proprio grasso o adipe.
The Arabic sentence is correctly translated into Italian, because the meaning is preserved.
New input case for you: هل هو المكان الذي يمكنك الاستسلام فيه أخيرا وليس عليك أن تحمل المسؤولية عن كل شيء ؟
Output: | È uno spazio dove finalmente ci si può arrendere e non prendersi la responsabilità di nulla? | 1 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.5188494920730591,
0.457030713558197,
-0.3532799482345581,
-0.5805658102035522,
-0.6325241327285767,
-0.16081546247005463,
0.4684075117111206,
0.7776471376419067,
0.5023743510246277,
-0.47761067748069763,
-0.5301418900489807,
0.5188804268836975,
-0.30906856060028076,
0.5762179493904114,
... |
Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
di preparare i nostri figli per esso.
A: | que estamos educándoos para iso. Así que o impredecíbel, penso, | 7 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.23439602553844452,
1.5759316682815552,
-0.15391486883163452,
-0.3676922619342804,
-0.37998563051223755,
-0.6042309999465942,
0.41024017333984375,
0.8679581880569458,
-0.09958358854055405,
0.13421973586082458,
0.3224339783191681,
0.7190855145454407,
-0.7812769412994385,
0.276202976703643... |
This task is about translating a given Spanish language sentence to English.
Example Input: De un tal Sr. Ding.
Example Output: - A certain Mr Ding.
Example Input: El filtro de Kalman coge observaciones como éstas y estima futuras ubicaciones y las velocidades a partir de datos de este tipo.
Example Output: The common filter takes observations like these and estimates future locations and velocities based on data like this.
Example Input: Uh cariño, estamos muy arriba ahora, whoa Hasta que nuestras preocupaciones terminen con nuestro dolor
Example Output: | Oh, oh, our home is the sky now
| 3 | NIv2 | task1692_qed_amara_translation | fs_opt | [
-0.9023412466049194,
0.4106001853942871,
0.06740357726812363,
-0.48951342701911926,
0.05792003870010376,
-0.9386838674545288,
0.8027646541595459,
0.5042533874511719,
0.11632382869720459,
0.017348237335681915,
-0.38751477003097534,
0.4925006628036499,
-0.4533146619796753,
0.4300534427165985... |
In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
One example: Context: Joanne McLeod is a Canadian figure skating coach. She is the skating director at the Champs International Skating Centre of BC (formerly known as the BC Centre of Excellence). Here current and former students include Emanuel Sandhu, Mira Leung, Kevin Reynolds, Jeremy Ten, Nam Nguyen, and many others. In 2012, McLeod became the first level 5 certified figure skating coach in British Columbia., Victor Kraatz, MSC (born April 7, 1971) is a Canadian former ice dancer. In 2003, he and his partner, Shae-Lynn Bourne, became the first North American ice dancers to win a World Championship., Allie Hann-McCurdy (born May 23, 1987 in Nanaimo, British Columbia) is a Canadian ice dancer. McCurdy began skating at age eight and was a singles skater until age 12 when she switched to ice dancing. In 2003 she teamed up with Michael Coreno, with whom she was the 2010 Four Continents silver medalist and the 2008 Canadian bronze medalist. The pair retired in June 2010, to coach at the Gloucester Skating Club., Maikki Uotila - Kraatz ( born 25 February 1977 ) is a Finnish ice dancer . She is a former Finnish national champion with Toni Mattila . She married Victor Kraatz on June 19 , 2004 . The two coach in Vancouver , where they are the ice dancing directors at the BC Centre of Excellence . She and Kraatz have two sons , born September 14 , 2006 and July 10 , 2010 ., Burnaby is a city in British Columbia, Canada, located immediately to the east of Vancouver. It is the third-largest city in British Columbia by population, surpassed only by nearby Surrey and Vancouver., Canada (French: ) is a country in the northern half of North America. Its ten provinces and three territories extend from the Atlantic to the Pacific and northward into the Arctic Ocean, covering , making it the world's second-largest country by total area and the fourth-largest country by land area. Canada's border with the United States is the world's longest land border. The majority of the country has a cold or severely cold winter climate, but southerly areas are warm in summer. Canada is sparsely populated, the majority of its land territory being dominated by forest and tundra and the Rocky Mountains. About four-fifths of the country's population of 36 million people is urbanized and live near the southern border. Its capital is Ottawa, its largest city is Toronto; other major urban areas include Montreal, Vancouver, Calgary, Edmonton, Quebec City, Winnipeg and Hamilton., British Columbia (BC) is the westernmost province of Canada, with a population of more than four million people located between the Pacific Ocean and the Rocky Mountains.
British Columbia is also a component of the Pacific Northwest and the Cascadia bioregion, along with the U.S. states of Idaho, Oregon, Washington and Alaska., The "Champs International Skating Centre of British Columbia" (formerly known as the 'BC Centre of Excellence') is one of two major figure skating training centers in Canada. Located in Burnaby, British Columbia, it is home to many great national and international skaters. The programs there are overseen by a staff, including Joanne McLeod, who coaches 3-time Canadian men's national champion Emanuel Sandhu; Bruno Marcotte, who competed at the 2002 Winter Olympics; Victor Kraatz, the 2003 World Champion in ice dancing, and Maikki Uotila, who was a national champion in Finland. The center operates out of Canlan Ice Sports Burnaby 8 Rinks. Notable skaters who train there include Emanuel Sandhu, Mira Leung, Allie Hann-McCurdy & Michael Coreno, Jessica Millar & Ian Moram, Jeremy Ten, and Kevin Reynolds. This skating school is sometimes known as a training site for international competitors to practice for competitions in Vancouver. Champs International hosts its annual competition known as the BC/YK SummerSkate Competition every August., Shae-Lynn Bourne, MSC (born January 24, 1976) is a Canadian ice dancer. In 2003, she and partner Victor Kraatz became the first North American ice dancers to win a World Championship. They competed at three Winter Olympic Games, placing 10th at the 1994 Winter Olympics, 4th at the 1998 Winter Olympics, and 4th at the 2002 Winter Olympics., Vancouver, officially the City of Vancouver, is a coastal seaport city on the mainland of British Columbia, Canada, and the most populous city in the province., Subject: maikki uotila, Relation: country_of_citizenship, Options: (A) american (B) british (C) canada (D) finland (E) montreal
Solution is here: finland
Explanation: This is a good example, as maikki uotila is citizen of the finland.
Now, solve this: Context: The Sound of Music is a musical with music by Richard Rodgers, lyrics by Oscar Hammerstein II and a book by Howard Lindsay and Russel Crouse. It is based on the memoir of Maria von Trapp, "The Story of the Trapp Family Singers". Set in Austria on the eve of the Anschluss in 1938, the musical tells the story of Maria, who takes a job as governess to a large family while she decides whether to become a nun. She falls in love with the children, and eventually their widowed father, Captain von Trapp. He is ordered to accept a commission in the German navy, but he opposes the Nazis. He and Maria decide on a plan to flee Austria with the children. Many songs from the musical have become standards, such as "Edelweiss", "My Favorite Things", "Climb Ev'ry Mountain", "Do-Re-Mi", and the title song "The Sound of Music"., The Northeastern United States, also referred to as the American Northeast or simply the Northeast, is a geographical region of the United States of America bordered to the north by Canada, to the east by the Atlantic Ocean, to the south by the Southern United States, and to the west by the Midwestern United States. The Northeast is one of the four regions defined by the Census Bureau for the collection and analysis of statistics. The Census Bureau-defined region has a total area of with of that being land mass. Though lacking a unified cultural identity, the Northeastern region is the nation's most economically developed, densely populated, and culturally diverse region. Of the nation's four census regions, the Northeast is the second most urban, with 85 percent of its population residing in urban areas, led by the West with 90 percent., Russel Crouse (20 February 1893 3 April 1966) was an American playwright and librettist, best known for his work in the Broadway writing partnership of Lindsay and Crouse., The Story of the Trapp Family Singers is a memoir written by Maria Augusta von Trapp , whose life was fictionalized in the musical The Sound of Music . The book was published in 1949 by J. B. Lippincott Company of Philadelphia , Pennsylvania ., Richard Charles Rodgers (June 28, 1902 December 30, 1979) was an American composer of music for more than 900 songs and for 43 Broadway musicals. He also composed music for films and television. He is best known for his songwriting partnerships with the lyricists Lorenz Hart and Oscar Hammerstein II. His compositions have had a significant impact on popular music up to the present day, and have an enduring broad appeal., Pennsylvania (Pennsylvania German: "Pennsylvaani"), officially the Commonwealth of Pennsylvania, is a state located in the northeastern and Mid-Atlantic regions of the United States. The Appalachian Mountains run through its middle. The commonwealth borders Delaware to the southeast, Maryland to the south, West Virginia to the southwest, Ohio to the west, Lake Erie and the Canadian province of Ontario to the northwest, New York to the north, and New Jersey to the east., Oscar Greeley Clendenning Hammerstein II (July 12, 1895 August 23, 1960) was an American librettist, theatrical producer, and (usually uncredited) theatre director of musicals for almost forty years. Hammerstein won eight Tony Awards and two Academy Awards for Best Original Song. Many of his songs are standard repertoire for singers and jazz musicians. He co-wrote 850 songs. Hammerstein was the lyricist and playwright in his partnerships; his collaborators wrote the music. Hammerstein collaborated with numerous composers, such as Jerome Kern, with whom he wrote "Show Boat", Vincent Youmans, Rudolf Friml, Richard A. Whiting and Sigmund Romberg; but he is best known for his collaborations with Richard Rodgers, which include "Oklahoma!", "Carousel", "South Pacific", "The King and I", and "The Sound of Music"., Philadelphia is the largest city in the Commonwealth of Pennsylvania and the fifth-most populous city in the United States, with an estimated population of 1,567,442 and more than 6 million in the seventh-largest metropolitan statistical area, . Philadelphia is the economic and cultural anchor of the Delaware Valleya region located in the Northeastern United States at the confluence of the Delaware and Schuylkill rivers with 7.2 million people residing in the eighth-largest combined statistical area in the United States., Ontario, one of the 13 provinces and territories of Canada, is located in east-central Canada. It is Canada's most populous province by a large margin, accounting for nearly 40 percent of all Canadians, and is the second-largest province in total area. Ontario is fourth-largest in total area when the territories of the Northwest Territories and Nunavut are included. It is home to the nation's capital city, Ottawa, and the nation's most populous city, Toronto., "Do-Re-Mi" is a show tune from the 1959 Rodgers and Hammerstein musical "The Sound of Music". Within the story, it is used by Maria to teach the notes of the major musical scale to the Von Trapp children who learn to sing for the first time, even though their father disallowed frivolity after their mother's death. Each syllable of the musical solfège system appears in the song's lyrics, sung on the pitch it names. Rodgers was helped in its creation by long-time arranger Trude Rittmann who devised the extended vocal sequence in the song. According to assistant conductor Peter Howard, the heart of the number in which Maria assigns a musical tone to each child, like so many Swiss bell ringers was devised in rehearsal by Rittmann (who was credited for choral arrangements) and choreographer Joe Layton. The fourteen note and tune lyric 'when you know the notes to sing...' were provided by Rodgers and Hammerstein; the rest, apparently, came from Rittmann. Howard: 'Rodgers allowed her to do whatever she liked. When we started doing the staging of it, Joe took over. He asked Trude for certain parts to be repeated, certain embellishments.', Howard Lindsay, born Herman Nelke, (March 29, 1889 February 11, 1968) was an American theatrical producer, playwright, librettist, director and actor. He is best known for his writing work as part of the collaboration of Lindsay and Crouse, and for his performance, with his wife Dorothy Stickney, in the long-running play "Life with Father"., Subject: the story of the trapp family singers, Relation: author, Options: (A) captain (B) howard lindsay (C) jerome (D) lorenz hart (E) maria von trapp (F) one (G) peter howard (H) richard rodgers (I) russel crouse
Solution: | maria von trapp | 6 | NIv2 | task1296_wiki_hop_question_answering | fs_opt | [
0.47217875719070435,
0.7461426258087158,
-0.7204368114471436,
-0.3009662330150604,
0.348364919424057,
0.37402471899986267,
0.5426146984100342,
0.7293621897697449,
-0.4645712375640869,
0.08720731735229492,
-0.12564809620380402,
0.5925216674804688,
-0.6911282539367676,
0.5555812120437622,
... |
Detailed Instructions: You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
See one example below:
Problem: Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern Cuban Guitar School.
Subject : Isaac Nicola
Relation : place of birth
Solution: What was Isaac Nicola's city of birth?
Explanation: Here the question is generated on Isaac Nicola Romero who is the subject and the relation of question to the context is about the place of birth of Isaac Nicola Romero. Hence generated question is correct
Problem: Context : Emii is an American actress, pop recording artist, and martial artist originally from Youngstown, Ohio.
Subject : Emii
Relation : residence
Solution: | What city is Emii from? | 4 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | fs_opt | [
0.7903720736503601,
0.15586146712303162,
-0.45831379294395447,
0.03467285633087158,
0.06577089428901672,
-0.09096326678991318,
0.42483285069465637,
0.7068480849266052,
-0.015010707080364227,
0.20844769477844238,
0.3058062493801117,
0.6507469415664673,
-1.1821612119674683,
0.405534088611602... |
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
Q: - ചലിക്കുന്ന ഡീസല് യന്ത്രങ്ങളെ 10,000 കുതിരശക്തിയുള്ള ഇലക്ട്രിക്കല് എഞ്ചിനുകളാക്കി മാറ്റുകയെന്ന നാഴികല്ലും അടുത്തിടെ ഇന്ത്യ കൈവരിച്ചു.
A: | हाल में डीजल लोकोमोटिव को 10 हजार अश्वशक्ति इलेक्ट्रिक ईंजन में बदलने का ऐतिहासिक कीर्तिमान कायम किया गया है। | 4 | NIv2 | task1018_pib_translation_malayalam_hindi | zs_opt | [
-0.9843835234642029,
0.6287548542022705,
-0.12880966067314148,
-0.22441090643405914,
-1.281080961227417,
-0.06785210967063904,
0.6130982637405396,
0.4537999629974365,
0.13996782898902893,
0.0899026021361351,
0.12986791133880615,
0.26461371779441833,
-0.2963005304336548,
0.1348436325788498,... |
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: ការសិក្សាប្រាំមួយខែបានរកឃើញថាអូស្រ្តាលីមានអ៊ុយរ៉ាញ៉ូមច្រើនជាងការគិតពីមុន។
A: この六ヶ月間の研究はオーストラリアがそれまで考えられていたよりも多くのウランを持つと発見した。
****
Q: ការកែប្រែទាំងនេះនឹងដាក់អោយមានសុពលភាព "យោងទៅតាមច្បាប់អ៊ិស្លាម" គាត់និយាយ។
A: このような変化は「イスラム教の原則に従って」適切な位置に導入される予定である、と彼は述べた。
****
Q: កម្មករនៅតិចសាសដែលបញ្ចប់នៅឆ្នាំ2005ប្រកាស: "ល្មើសលើប្រាក់កំរៃអប្បបរមាត្រូវរកឃើញ។"
A: | 2005年にテキサス州の労働省は、「最低賃金違反が見つかった」と結論を述べた。
****
| 4 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
0.4582611620426178,
0.11408761143684387,
-0.6783185005187988,
-0.5401437878608704,
-0.31890586018562317,
-0.9046978950500488,
0.355960488319397,
0.38528573513031006,
-0.38598790764808655,
0.07988694310188293,
-0.5540406107902527,
-0.02268948219716549,
-0.8739502429962158,
0.420241177082061... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Example: Question: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin? Passage 1: The group was occasionally diverted from strategic missions to carry out air support and interdiction missions. It supported Operation Overlord, the invasion of Normandy by attacking transportation targets, including bridges, along with airfields and strong points in France. On D Day, the squadron and the rest of the 446th Group led the first heavy bomber mission of the day. The 446th aided ground forces at Caen and Saint-Lô during July by hitting bridges, gun batteries, and enemy troops. During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. It struck lines of communications during the Battle of the Bulge. During Operation Varsity in March 1945, it supplied ground and airborne troops near Wesel. The squadron flew its last combat mission on 25 April 1945 against Salzburg, Austria. The group had flown 273 missions and had lost 58 aircraft during the war,
. Passage 2: John Ford (1894–1973) was an American film director whose career spanned from 1913 to 1971. During this time he directed more than 140 films. Born in Maine, Ford entered the filmmaking industry shortly after graduating from high school with the help of his older brother, Francis Ford, who had established himself as a leading man and director for Universal Studios. After working as an actor, assistant director, stuntman, and prop man – often for his brother – Universal gave Ford the opportunity to direct in 1917. Initially working in short films, he quickly moved into features, largely with Harry Carey as his star. In 1920 Ford left Universal and began working for the Fox Film Corporation. During the next ten years he directed more than 30 films, including the westerns The Iron Horse (1924) and 3 Bad Men (1926), both starring George O'Brien, the war drama Four Sons and the Irish romantic drama Hangman's House (both 1928 and both starring Victor McLaglen). In the same year of these last two films, Ford directed his first all-talking film, the short Napoleon's Barber. The following year he directed his first all-talking feature, The Black Watch.
. Passage 3: Since the late 1970s, the central part of NYU is its Washington Square campus in the heart of Greenwich Village. Despite being public property, and expanding the Fifth Avenue axis into Washington Square Park, the Washington Square Arch is the unofficial symbol of NYU. Until 2008, NYU's commencement ceremony was held in Washington Square Park. However, due to space constraints, ceremonies are now held at the Yankee Stadium. Important facilities at Washington Square are the Elmer Holmes Bobst Library, designed by Philip Johnson and Richard Foster, who also designed several other structures, such as Tisch Hall, Meyer Hall, and the Hagop Kevorkian Center. When designing these buildings Johnson and Foster also set up a master plan for a complete redesign of the NYU Washington Square campus. However, it was never implemented. Other historic buildings include the Silver Center (formerly known as "Main building"); the Brown Building of Science; Judson Hall, which houses the King Juan Carlos I of Spain Center; Vanderbilt Hall, the historic townhouse row on Washington Square North; The Grey Art Gallery at 100 Washington Square East, housing the New York University art collection and featuring museum quality exhibitions; the Kaufman Management Center; and the Torch Club – the NYU dining and club facility for alumni, faculty, and administrators. Just a block south of Washington Square is NYU's Washington Square Village, housing graduate students and junior and senior faculty residences in the Silver Towers, designed by I. M. Pei, where an enlargement of Picasso's sculpture Bust of Sylvette (1934) is displayed.
.
Output: 1
The question refers to the 704th unit and task about war which is decribed by Passage 1.
New input case for you: Question: When was the college where Eve studied art founded? Passage 1:Miller voiced "Mr. Sun" in the AT&T educational film Our Mr. Sun, and "Hemo" in the AT&T educational film Hemo the Magnificent, parts of a series featuring Dr. Frank C. Baxter and directed by Frank Capra, which was shown on American network television in 1956 and 1957. Miller crossed paths with other prolific voice-over artists many times in his career including June Foray, playing "Deer" in Hemo the Magnificent and in the TV series Rocky and Bullwinkle along with Paul Frees, who voiced "Boris Badenov" in that program. Miller and Frees also performed in separate segments on the audio recording Stan Freberg Presents The United States of America Volume One The Early Years.
Passage 2:In 2004, Valance returned to acting, this time in the United States, appearing in episodes of the television series and Entourage. In 2005, she appeared in an episode of . In 2005 Valance returned to music, albeit briefly, when she appeared on Har Mar Superstar's album The Handler singing on the tracks, "DUI", "Back the Camel Up" and "Body Request". She appeared in Prison Break in 2006 as Nika Volek, a role which she continued to portray in the show's second season. Also in 2006, Valance appeared in the National Lampoon comedy Pledge This!, alongside American socialite Paris Hilton. The same year, she starred in , an adaptation of the popular video game Dead or Alive, where she played Christie. In 2007 she appeared in the TV series Shark and Moonlight. In 2008 she had a role in the film Taken alongside Liam Neeson, and appeared in an episode of The CW series Valentine.
Passage 3:A native of New York City, Aschheim lived in California and Singapore as a girl. She studied art at the University of California, Berkeley, where she received her BA in 1984; in 1987 she received her MFA at the University of California, Davis. In 2003 she became director of the Visual Arts Program at Princeton University, where she began teaching in 1991. During her career she has received fellowships from the New York Foundation for the Arts, the National Endowment for the Arts, the Elizabeth Foundation, and the Pollock-Krasner Foundation, and she has been awarded the Purchase Award and the Richard and Hinda Rosenthal Award, both from the American Academy of Arts and Letters. She received a Guggenheim Fellowship in 2012. In 2017 she was elected an Academician of the National Academy of Design. Aschheim's paintings and drawings are abstract and heavily geometric. Three of her works, including one formerly owned by the Corcoran Gallery of Art, are in the collection of the National Gallery of Art, while six are owned by the Museum of Modern Art. Her work is also in the collection of the Museum of Contemporary Art, North Miami.
Output: | 3 | 1 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.10858476907014847,
0.46797800064086914,
-0.5499448776245117,
0.07025253772735596,
0.6509261727333069,
0.004073119722306728,
0.7410352230072021,
1.3910119533538818,
0.06640814989805222,
0.26318466663360596,
0.17318236827850342,
0.20942002534866333,
-0.30406492948532104,
0.0574953146278858... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
Que é creatividade? | O que é criatividade? | 0 | NIv2 | task1246_ted_translation_gl_pt | zs_opt | [
-0.41552066802978516,
0.9275451898574829,
0.7095586061477661,
-0.5952048897743225,
-0.19090622663497925,
-0.5079718232154846,
-1.0788441896438599,
0.5626968145370483,
0.18254469335079193,
-0.7567513585090637,
-0.5073124766349792,
0.25908827781677246,
-0.7263392806053162,
0.1722365617752075... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
والنساء كانوا يستطيعون الذهاب وتمريرها على الجهاز للحصول على تسع مشتروات غذائية.
E le donne possono andare lì e strisciare la carta e portare via nove prodotti alimentari.
حاولنا ، بقطعة صغيرة جدا من جبن ليمبورجر ، و التى رائحتها كريهة كرائحة الأقدام ، لجذب بعوض الملاريا الأفريقي.
Abbiamo tentato, con un piccolo pezzo di formaggio Limburger, maleodorante come un piede, di attirare la zanzara africana.
لدينا شوارع تعمل لمدة ٢٤ ساعة ، بحيث يظل هناك دائما مكان حي.
| Abbiamo una strada viva 24 ore al giorno, in modo che ci sia sempre un posto dove andare.
| 0 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
-0.25099921226501465,
-0.11797700822353363,
-0.026650242507457733,
-0.24869199097156525,
-0.46557101607322693,
-0.21012413501739502,
0.863556981086731,
0.21642065048217773,
-0.2933780550956726,
-0.03643733635544777,
-1.0149381160736084,
0.690161943435669,
-0.5995540618896484,
0.27602481842... |
Teacher: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had gone inside the store and now has fruit.
Solution: Tom had not been in the store.
Reason: The given sentence contradicts sentence 1 (i.e. they can not be correct at the same time.)
Now, solve this instance: Sentence 1: People are standing in a room with a television that has a picture of a boat on the water. Sentence 2: Some people are in a house with a television.
Student: | A group of people are ordering food at a restaurant. | 2 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | fs_opt | [
-0.07334183901548386,
0.30820906162261963,
0.48147058486938477,
-0.5461841821670532,
0.6448976397514343,
-0.8699737787246704,
-0.47194063663482666,
0.6560944318771362,
0.061624012887477875,
-0.10685041546821594,
-0.39465615153312683,
-0.2894185185432434,
-0.7761267423629761,
-0.64610558748... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated question. Generated question and answer should be separated with a new line.
Example input: Lucifer how many episodes are in season 3?
Example output: How many episodes of season 3 of Lucifer were there, including bonus episodes?
26
Example explanation: The generated question clarifies the input question by asking about bonus episodes because if the question is about regular episodes only then the answer will be different than including the bonus episodes. Also, the answer to the generated question is provided.
Q: Who plays lilly on the young and the restless?
A: | Who plays lilly on the young and the restless in 1996?
Vanessa Carson | 3 | NIv2 | task671_ambigqa_text_generation | fs_opt | [
-0.6824009418487549,
0.6054086089134216,
-0.2571905851364136,
-1.1360969543457031,
-0.3453778028488159,
-0.31955015659332275,
0.8276359438896179,
0.4638633728027344,
-0.03418722376227379,
-0.47418761253356934,
0.048190828412771225,
0.6379944086074829,
-0.6992174386978149,
0.111987434327602... |
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Let me give you an example: Context: Tracy didn't go home that evening and resisted Riley's attacks.
Answer: Find somewhere to go
The answer to this example can be: What does Tracy need to do before this?
Here is why: Tracy has to resist Riley's attack and the answer is she has to find somewhere to go so the question is what does she do before this?
OK. solve this:
Context: Casey was getting ready to send their kids to school. Casey bought pencils in the store.
Answer: have money
Answer: | What does Casey need to do before this? | 8 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
0.24863828718662262,
0.9536241888999939,
0.10227906703948975,
0.13668319582939148,
0.26557445526123047,
-0.8635758757591248,
0.2888803482055664,
0.29945600032806396,
0.30111265182495117,
0.12818443775177002,
-0.29847657680511475,
0.22384929656982422,
-0.7030825614929199,
-0.340642988681793... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
One example is below.
Q: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping in the store.
A: Tom had been shopping for fruit to give Jon.
Rationale: The given sentence is a good alteration. If the changed sentence was something like: "Tom had been sleeping in his house in that time", it'd contradict the first sentence. But this given sentence neither agrees with the first sentence, nor contradicts it.
Q: Sentence 1: A man on a bike is walking a dog along a boardwalk. Sentence 2: a bird was on rocks
A: | THE grass was green | 9 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
0.08029473572969437,
0.5224020481109619,
0.5063790082931519,
-0.18066999316215515,
0.33640527725219727,
-0.8751049041748047,
-0.3121357560157776,
0.9559106826782227,
0.1548762023448944,
-0.39177441596984863,
-1.135797142982483,
-0.4630260467529297,
-0.9982447028160095,
-0.6826779842376709,... |
Part 1. Definition
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Part 2. Example
what is the first event mentioned?, Context: The Russian Revolution is the series of revolutions in Russia in 1917, which destroyed the Tsarist autocracy and led to the creation of the Soviet Union. Following the abdication of Nicholas II of Russia, the Russian Provisional Government was established. In October 1917, a red faction revolution occurred in which the Red Guard, armed groups of workers and deserting soldiers directed by the Bolshevik Party, seized control of Saint Petersburg (then known as Petrograd) and began an immediate armed takeover of cities and villages throughout the former Russian Empire.
Answer: Russian Revolution
Explanation: This is a good example, and the Russian Revolution is the first event mentioned.
Part 3. Exercise
It was more likely that tragedies during World War 1 or even World War 2 were portrayed via which device?, Context: Greek drama exemplifies the earliest form of drama of which we have substantial knowledge. Tragedy, as a dramatic genre, developed as a performance associated with religious and civic festivals, typically enacting or developing upon well-known historical or mythological themes. Tragedies generally presented very serious themes. With the advent of newer technologies, scripts written for non-stage media have been added to this form. War of the Worlds (radio) in 1938 saw the advent of literature written for radio broadcast, and many works of Drama have been adapted for film or television. Conversely, television, film, and radio literature have been adapted to printed or electronic media.
Answer: | radio | 7 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.919755220413208,
0.17616623640060425,
-0.33691805601119995,
-0.03097381256520748,
-0.06255657970905304,
0.5698907375335693,
0.7642485499382019,
1.6453566551208496,
0.19137030839920044,
0.04330524802207947,
-0.436213880777359,
-0.3201926648616791,
-0.5025612115859985,
-0.1949509084224701,... |
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "against". If there's no causal relationship between the two, answer with "none".
One example is below.
Q: Process: -Forest fires burn forests -The animals living in the forest have fewer places to hide -Predators can now find their prey eaiser -Birds will fly away from the area -Waters warm up which hurts the fish swimming in them.
Question: What is the effect of people are less careful about putting out their campfires on a greater negative effect on animals.?
A: for
Rationale: If people are less careful about putting out campfires, it will result in a greater negative effect on animals.
Q: Process: -EGG -ITS LAID ON A LEAF OR PLANT -THE EGG HATCHES -THE LARVA COMES OUT(CATERPILLAR) -IT BEGINS TO EAT ON THE LEAF THAT IS WAS BORN ON -CONTINUES TO EAT TO GROW QUICKLY -AFTER ITS GROWN TO FULL LENGHT IT FORMS INTO A PUPA -UNDERGOES METAMORPHOSIS TO BECOME BUTTERFLY -AFTER HE BUTTERFLY IS FOMED IT PUMPS BLOOD INTO ITS WINGS TO GAIN STRENGHT TO BE ABLE TO FLY -TH EBUTTERLFY IS FIANLLY ABLE TO FLY AWAY.
Question: What is the effect of More animal farming increases pollution on less butterflies.?
A: | none | 9 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
-0.7540287971496582,
0.30050578713417053,
-0.5359460115432739,
-0.1021723598241806,
-0.44033879041671753,
-1.3913941383361816,
0.08463280647993088,
1.11728036403656,
-0.3776405155658722,
-0.08814480155706406,
-0.35920241475105286,
0.2399027943611145,
-0.9152415990829468,
0.3700075447559356... |
Given the task definition and input, reply with output. You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
إن هذا مروع.
| Isto é horrível. | 5 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
-0.3191717267036438,
1.0240936279296875,
0.5116880536079407,
-0.6345883011817932,
-0.5357038974761963,
0.1545681655406952,
0.18943490087985992,
0.5915036797523499,
0.611595869064331,
0.016344087198376656,
-0.7778153419494629,
0.003030883613973856,
-0.36008191108703613,
0.23079293966293335,... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
[Q]: Diet Coke walks up to the front — pick it, put it in the tote, away it goes. "" Wow, what if the products could walk and talk on their own?
[A]: するとダイエットコークが前に歩いてきて掴んでケースに入れて終わりおぉもし商品が自分で歩いて話せたら ？
[Q]: The tools for solving the problems are knowledge and understanding.
[A]: 問題解決には知識と理解を使いましょう
[Q]: The electrodes are turned off now, and you can see that she has tremor.
[A]: | 電極は今オフで震えが見られます
| 5 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.17476613819599152,
-0.11098308861255646,
-0.13992497324943542,
-0.21240369975566864,
-0.07787731289863586,
-0.5195558071136475,
-0.01359819620847702,
0.5488108396530151,
0.20863565802574158,
-0.3439375162124634,
0.20608389377593994,
0.19267678260803223,
-0.3592934012413025,
0.16807702183... |
Instructions: In this task, you are given a text of the article. Your task is to generate a headline (title) for this article.
Input: ministers from the european union and its mediterranean neighbors gathered here under heavy security on monday for an unprecedented conference on economic and political cooperation .
Output: | european mediterranean ministers gather for landmark conference by julie bradford | 3 | NIv2 | task288_gigaword_summarization | zs_opt | [
0.05282474309206009,
0.7574549913406372,
-0.7080237865447998,
0.008168826811015606,
-0.7727991342544556,
0.28627848625183105,
0.09797097742557526,
0.059555426239967346,
-0.08402304351329803,
-0.023770414292812347,
-0.2771714925765991,
0.5733219385147095,
-0.1108178198337555,
0.134286284446... |
Given the task definition and input, reply with output. 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.
run opposite left and look opposite right
| I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_LOOK | 5 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.2873687148094177,
0.7202664613723755,
-0.2156425267457962,
0.4188214838504791,
0.021994786337018013,
-0.039332181215286255,
-0.37140804529190063,
0.5459387898445129,
-0.36541205644607544,
-0.10671907663345337,
-0.8350562453269958,
-0.5231581926345825,
-0.3566948175430298,
-0.309114098548... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
இந்த ஒப்பந்தம் 2019, ஜனவரி மாதத்தில் டென்மார்க்கிலிருந்து இந்தியாவிற்கு வருகை தரவுள்ள மிக முக்கிய பிரமுகரின் வருகையின்போது கையெழுதிடப்பட உள்ளது
Solution: ২019 সালের জানুয়ারিতে ডেনমার্ক থেকে ভারত সফর করার জন্য সবচেয়ে গুরুত্বপূর্ণ ব্যক্তিত্বের সফরকালে এই চুক্তিটি হস্তান্তর করা হবে
Why? Correct translation for given sentence. Input sentence means 'This contract is to be handed over during the visit of the most important figure to visit India from Denmark in January 2019' which is the same as the output sentence.
New input: வேம்பு கலவையுடன் கூடிய யூரியா உரம் விவசாயிகளுக்கு கிடைப்பது உறுதி செய்யப்பட்டுள்ளது.
Solution: | ইউরিয়ার অপব্যবহার রুখতে ১০০ শতাংশ হারে ইউরিয়ার ওপর নিমের প্রলেপ দেওয়া হচ্ছে। | 0 | NIv2 | task982_pib_translation_tamil_bengali | fs_opt | [
-0.2341863214969635,
1.0339854955673218,
-0.26479995250701904,
-0.25797855854034424,
-0.061720967292785645,
-0.36205291748046875,
0.47870808839797974,
-0.1952238231897354,
0.03643989562988281,
0.15671728551387787,
0.20273452997207642,
0.5584348440170288,
-0.4975123703479767,
0.620412468910... |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
The talks aimed at saving the four-year-old Cease Fire Agreement (CFA), signed on 22 February 2002, are to be held in Geneva on 22-23 February. The date was agreed at a meeting in London between Norwegian International Development Minister, Erik Solheim, and the chief negotiator for the Tamil Tigers, Anton Balasingham. A spokesman at the Norwegian embassy in London said further details would be announced soon. The truce between the Tigers and the Sri Lankan government has come under pressure recently, with a sharp increase in violence in the Tamil areas of the north and the east. Two parties agreed to hold talks after the visit by Minister Solheim in January. The Tigers raised concerns after ten aid workers of Tamil Rehabilitation Organisation (TRO), which has close links with the LTTE, were allegedly abducted in recent weeks. But the government denied the accusation by the TRO that paramilitaries linked to Sri Lanka military were behind the abductions. | Talks on CFA anniversary | 0 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
0.2303370088338852,
0.8905285596847534,
-0.6446216106414795,
0.35040807723999023,
-0.00924005825072527,
-0.8245387077331543,
0.22836697101593018,
0.31614166498184204,
-0.26321229338645935,
0.4194299578666687,
0.19210600852966309,
0.989924430847168,
-1.2485413551330566,
0.253145694732666,
... |
Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Example input: able
Example output: unable
Example explanation: The output is correct as able and unable are opposities of each other in meaning.
Q: heteroecious
A: | autoecious | 3 | NIv2 | task1508_wordnet_antonyms | fs_opt | [
0.5315255522727966,
2.104832410812378,
1.135878562927246,
-0.33467480540275574,
-0.2079823613166809,
-1.4522608518600464,
-0.20644626021385193,
0.23453345894813538,
0.30039501190185547,
-0.625829815864563,
-1.2041653394699097,
-0.10460186749696732,
-0.7736330032348633,
-0.14442379772663116... |
Given the task definition and input, reply with output. In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two sentences must be different in terms of trigger words (e.g., "small" and "big") which express contrasting properties about the two objects. The answer must not be associated with the trigger word; instead, it should depend on the context present in twin sentences. Also, the answers should not be ambiguous. For each sentence, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use animals and proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. Avoid repeating the same style or phrase in twin sentences. E.g., a contrasting sentence can always be created using simple negation i.e. by adding not, never, etc. Instead, try to increase diversity. Both twin sentences must contain at least 15 and at most 30 words. Twin sentences must have at least 70% overlapping words. You must utilize the given context word while writing the twin sentences. Each of the twin sentences must contain only one blank. Make sure that ObjectX and Y have the same number e.g. when ObjectX is singular, ObjectY must be singular, too. The two objects (ObjectX & ObjectY) should be used ONCE in each sentence. Here is a list of contrastive words that may be used as trigger words. You should create more such trigger words and use them in your twin sentences.
| 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 |
Context Word: internet.
| Sentence 1: Amy used her laptop to connect to the Internet instead of her phone, because the _ was so much faster.
Answer1: laptop.
Sentence 2: Amy used her laptop to connect to the Internet instead of her phone, because the _ was so much slower.
Answer2: phone. | 5 | NIv2 | task029_winogrande_full_object | zs_opt | [
0.3703468143939972,
0.3607819080352783,
0.1026560366153717,
-0.08522900193929672,
0.7786346673965454,
-0.6395770311355591,
0.43012046813964844,
1.1266123056411743,
-0.6247854232788086,
-0.2729414105415344,
-0.6324727535247803,
0.04371294751763344,
-0.4907471835613251,
-0.15394337475299835,... |
A text is given in Tamil. Translate it from the Tamil language to the Malayalam language. The translation must not omit or add information to the original sentence.
[EX Q]: நடுவர் மன்றம் மூலம் தீர்வு காணப்படுவதால், ஒடிசா மற்றும் சத்திஸ்கர் மாநிலங்களுக்கு இடையில் நீண்டகாலமாக தீர்க்கப்படாமல் உள்ள மகாநதி ஆற்று நீர் பிரச்சினைக்கு இறுதித் தீர்வு கிடைக்கும் என்று எதிர்பார்க்கப் படுகிறது.
[EX A]: ട്രൈബ്യൂണലിന്റെ തീര്പ്പ് വരുന്നതോടെ ഒഡിഷയ്ക്കും ഛത്തീസ്ഗിനുമിടയില് മഹാനദിയിലെ ജലത്തിന് വേണ്ടി ദീര്ഘകാലമായി നിന്നിരുന്ന തര്ക്കത്തിന് അന്തിമ തീര്പ്പ് ഉണ്ടാകുമെന്നാണ് പ്രതീക്ഷ.
[EX Q]: 2018 நிலவரப்படி ஏற்கனவே 5.
[EX A]: ഈ വര്ഷം 31-10-2018 ലെ കണക്ക് പ്രകാരം 5.
[EX Q]: கடந்த மூன்று ஆண்டுகளில், அந்நிய நேரடி முதலீட்டு வரத்து மிக அதிக அளவு வளர்ச்சியடைந்துள்ளது.
[EX A]: | ഐയില് കൂടുതല് വളര്ച്ചയുണ്ടായത് കഴിഞ്ഞ മൂന്നുവര്ഷം കൊണ്ടാണ്.
| 6 | NIv2 | task1000_pib_translation_tamil_malayalam | fs_opt | [
0.21620771288871765,
0.4011809527873993,
-0.4863644242286682,
-0.383383572101593,
0.202854722738266,
-0.8177141547203064,
0.18216276168823242,
-0.07656554877758026,
0.04692783206701279,
-0.038881219923496246,
-0.05473659187555313,
0.08518840372562408,
-0.3701099753379822,
0.213697731494903... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input list, and do the same for the numerical elements.
['893', 'Y', 'r', '4435', '3019', 'E', '2783', '6083', '9569', '2367', 'E', 'e', '7779', '6443', 'Z', '9263', 'a', 'r', '4437', '5169', '1249', 'g', '7503', 'j', '6511', '7483', '6813', '7409', '8219', '7211', '7609', '385', 'X']
Output: | Y, r, E, E, e, Z, a, r, g, j, X, 893, 4435, 3019, 2783, 6083, 9569, 2367, 7779, 6443, 9263, 4437, 5169, 1249, 7503, 6511, 7483, 6813, 7409, 8219, 7211, 7609, 385 | 1 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
-0.009507261216640472,
0.16628716886043549,
-0.13651883602142334,
-0.04312632232904434,
0.2556149959564209,
-0.4792170524597168,
0.2937849760055542,
0.4140237867832184,
-0.6582657098770142,
0.46303117275238037,
-0.8075073957443237,
0.17312857508659363,
-0.20976382493972778,
-0.231119841337... |
Teacher:Given an abstract, indicate which of the provided candidate titles (Option1 and Option2) best describes it (respond with the text of the title, not option1/2).
Teacher: Now, understand the problem? Solve this instance: Abstract: A previously healthy 3-year-old boy was referred because of persistent fever and anterior neck swelling and pain. The diagnosis of a mixed bacterial abscess of the thyroid gland was made. Incision and drainage were performed, and fever abated immediately. Antibiotic therapy was given in the hospital and for ten days after discharge. Acute suppurative thyroiditis is a rarely encountered infection. The majority of cases reported in the recent literature are from Japan. The case presented here, from the United States, demonstrates the difficulty that can be encountered in diagnosing this type of thyroiditis.
Which is the apt title for the abstract? option1: Acute suppurative thyroiditis in a 3-year-old boy. option2: The tiny parathyroid adenoma.
Student: | Acute suppurative thyroiditis in a 3-year-old boy. | 6 | NIv2 | task624_ohsumed_question_answering | zs_opt | [
-0.6209795475006104,
0.11535276472568512,
-0.2037101835012436,
0.10667920112609863,
0.24365447461605072,
-0.4539200961589813,
0.021051280200481415,
0.7372192740440369,
0.28112566471099854,
0.6563029885292053,
0.29560887813568115,
0.5633096694946289,
-0.5582267045974731,
-0.1607880294322967... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
فتوسنتز فرایندی زیستشیمیایی است که در آن، انرژی نورانی خورشید توسط گیاهان و برخی از باکتریها به انرژی شیمیایی ذخیرهشده در مواد غذایی آنها تبدیل میشود. کمابیش همهٔ جانداران روی زمین به آن وابستهاند. در عمل فتوسنتز، اندامهایی مانند برگ که دارای سبزینه هستند، کربن دیاکسید، آب و نور را جذب کرده و به کلروپلاست میرسانند. طی واکنشهایی که درون کلروپلاست انجام میگیرد، این مواد به اکسیژن و کربوهیدراتها تبدیل میشوند. همه اکسیژن کنونی موجود بر روی زمین، فراوردهٔ فتوسنتز است. برخی از کربوهیدراتهای مهم تولیدشده مانند گلوکز، میتوانند به دیگر مواد آلی، لیپیدها، نشاسته، سلولز و پروتئین تبدیل شوند که برای تبدیلشدن به پروتئین، نیاز به نیتروژن دارند. ژان باپتیست ون هلمونت، یکی از نخستین آزمایشهای مربوط به فتوسنتز را انجام داد. همه بخشهای سبزرنگ گیاه، قادر به انجام عمل فتوسنتز هستند. مادهٔ سبز موجود در گیاهان که سبزینه یا کلروفیل نام دارد، آغازکنندهٔ واکنشهای فتوسنتز است. فتوسنتز در اندامهایی که فاقد سبزینه هستند، انجام نمیگیرد.
Question: فتوسنتز چه نوع فرایندیه؟
Solution: True
Why? This is a good example. The question is answerable based on the passage.
New input: آغاز به کار قطارها به سدهٔ ۱۵۰۰ میلادی بازمیگردد نخست ریل قطار از جنس چوب ساخته و واگنها توسط اسبان پر قدرت کشیده میشد. قطار بخار در اوایل سده ۱۸۰۰ اختراع گردید قطارها وسایل ترابری مفیدی هستند زیرا بارهای سنگین را به راحتی روی ریل میکشند. هنگامی که ریچارد ترویتیک برای اولین بار لوکوموتیو مجهز به موتور بخار خود را روی ریلهای فولادی به حرکت درآورد و عصر قطارهای امروزی آغاز گردید. قطار گونهای از ترابری ریلی است که از وسایل نقلیهٔ بههم پیوستهای ساخته شده که برای جابهجایی بار یا مسافران روی ریل راهآهن حرکت میکند. نیروی محرکه قطار توسط یک لوکوموتیو یا موتورهای جداگانه موجود در هر واگن خودکششی چندگانه تأمین میشود. اغلب از اصطلاح «موتور» به عنوان جایگزینی برای لوکوموتیو استفاده میشود. اولین قطاری که وارد ایران شد ماشین دودی نامیده میشد و از تهران به شهر ری رفتوآمد میکرد. تمامی مسیر حرکت قطارها از درون اتاق کنترل تحت نظر قرار دارند. مسئول کنترل علامتها و چراغهای مختلف را برای اطمینان از بازبودن تمام خطها کنترل میکند. لوکوموتیو ران قطار هم با استفاده از چراغها و درجههای مقابل خود با اتاق کنترل ارتباط مستقیم دارد تا از بازبودن مسیر اطمینان حاصل کند.
Question: چرا در تمام مدت حرکت قطار باید تحت نظر باشد؟
Solution: | True | 0 | NIv2 | task396_persianqa_classification | fs_opt | [
1.1573588848114014,
0.083076611161232,
-0.3726920485496521,
0.3534207344055176,
0.22012075781822205,
-0.4311448931694031,
0.6740823984146118,
1.1577972173690796,
-0.17560657858848572,
0.2385707050561905,
-0.5347086787223816,
-0.1419340968132019,
-0.33268141746520996,
0.7705249786376953,
... |
Detailed Instructions: In this task, you have given an input which is agent's reply, based on that you have to identify what will be users' command for that reply. The user generally asks a question related to event scheduling or information of the scheduled events. Agent reply based on the available information or do the task as per user command.
See one example below:
Problem: I didn't find any events with Gavin this week
Solution: Search for any meetings with Gavin for this week.
Explanation: The agent has replied about the events with Gavin, and the user has also asked about the same thing.
Problem: You are the organizer of "Appointment".
Solution: | who organized the meeting next week? | 4 | NIv2 | task1600_smcalflow_sentence_generation | fs_opt | [
0.3183877766132355,
-0.6548933982849121,
-0.28481996059417725,
-0.5266591310501099,
0.055867999792099,
-1.0978944301605225,
0.7911310791969299,
-0.6325230598449707,
0.33421003818511963,
0.19239762425422668,
-0.0039005763828754425,
-0.22090822458267212,
-0.8349624276161194,
0.80461454391479... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
Q: And if I had to pick a group that I think is our Invisible College, is our generation's collection of people trying to take these tools and to press it into service, not for more arguments, but for better arguments, I'd pick the open-source programmers.
A: | I gdybym miał wybrać kto jest naszym Invisible College, to są to ludzie próbujący wykorzystać te narzędzia do lepszych dyskusji. Programiści zajmujący się open source. | 4 | NIv2 | task1092_ted_translation_en_pl | zs_opt | [
-1.249338150024414,
0.7275537252426147,
-0.3939308524131775,
-0.32027769088745117,
-0.23956891894340515,
-1.5444753170013428,
0.44972339272499084,
-0.45132413506507874,
0.4366348385810852,
0.819197416305542,
0.5296781659126282,
0.10640989243984222,
0.1110876053571701,
-0.47401392459869385,... |
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.
Let me give you an 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
The answer to this example can be: Yes
Here is why: Tracy finds somewhere to go and didn't come home because she has to resist Riley's attacks. So, C is the correct answer.
OK. solve this:
Context: Remy got a hotdog at the fair then got a funnel cake and rode some rides.
Question: What does Remy need to do before this?
Options: (A) call it a night and head home (B) check out the animal exhibits (C) go to the fair
Answer: C
Answer: | Yes | 8 | NIv2 | task579_socialiqa_classification | fs_opt | [
0.16756798326969147,
0.270742267370224,
0.33580198884010315,
0.5962901711463928,
-0.05788262188434601,
-0.4480346441268921,
-0.06706136465072632,
1.0511841773986816,
-0.19175192713737488,
0.2392907440662384,
-0.2798119783401489,
0.389046311378479,
-0.1964060217142105,
-0.35372892022132874,... |
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 Farsi.
הקישו פעמיים על המילה. הביטו ב-200. אני לוחץ לחיצה כפולה.
| روى كلمه دو بار كليك كنيد. ٢٠٠ را نگاه كنيد. ميخواهم دو بار كليك كنم. | 5 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.6916749477386475,
0.8433372974395752,
0.3291980028152466,
0.060254715383052826,
-0.37772318720817566,
0.26255980134010315,
0.8667190074920654,
0.26875409483909607,
0.659506618976593,
0.166731059551239,
-1.0018744468688965,
0.7445956468582153,
-0.6170166730880737,
0.3203500807285309,
0... |
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In your answer, use as few words as possible from the given context. Use a response that is uncommon/non-stereotypical, so that it is less predictable. To be less repetitive, please vary your language for each question.
Context: What an experience!I make it home and decide to try one last time to start the car and the bitch starts ! ! I ' m guessing it was water in the gas . It has happened before .
Question: Why was it surprising that the car started ?
The car was n't working earlier in the day .
Context: I know it when I do that , and I do n't know how to salvage the situation besides apologising . I hope the damage has n't been too great because obviously I do n't mean it . [ I guess I can only blog about such things about myself here , because I do n't talk about such things ... my insecurities and fears to my friends . Occasionally I would suddenly just say something or two about myself to Amanda .
Question: What may have happened before I wrote this ?
I said something I should not have .
Context: It 's funny since I share food at the drop of the hat ( though admittedly it is still usually a sign of esteem and strong affection ) , but it really gets me , perhaps because hunger is such a fundamental need . Like , the other day Sam gave me part of his sandwich and it was such an " aw " moment . Food is so interesting viewed through a interpersonal exchange lens or as a physical manifestation of affection . Anyway , yup .
Question: Is the speaker willing to share food with others ?
| Yes , almost always .
| 0 | NIv2 | task024_cosmosqa_answer_generation | fs_opt | [
0.13294294476509094,
0.4064769148826599,
0.03683307021856308,
0.47860535979270935,
-0.19723014533519745,
-0.6611384153366089,
1.0104084014892578,
0.7128583192825317,
-0.35763680934906006,
0.07272051274776459,
-0.2290664166212082,
-0.15124452114105225,
-1.1353483200073242,
-0.01310054399073... |
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 can be characterized by being or having the Tail or not. Being characterized usually describes entities' general characteristics such as rose is red, or subjective attributes such as thirst is uncomfortable. It can also map to descriptors that speak to the substance or value of items such as meat has the property of being stored in the freezer or bike is powered by a person's legs. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX accepts ___ in exchange<sep>Tail: to make progress
A: No
****
Q: Head: PersonX asks ___ to go with PersonY<sep>Tail: has a good time
A: No
****
Q: Head: PersonX addresses PersonY audience<sep>Tail: get's an applause
A: | No
****
| 4 | NIv2 | task1212_atomic_classification_hasproperty | fs_opt | [
0.6006501913070679,
-0.13152974843978882,
0.3159821629524231,
0.31298860907554626,
-0.20600298047065735,
-0.5689538717269897,
0.48582756519317627,
0.9547338485717773,
-0.601426362991333,
-0.10336985439062119,
-0.6348450183868408,
-0.5360384583473206,
-0.6223636865615845,
0.1084271147847175... |
Definition: You are given a sentence and your task is to generate another sentence that supports the given input.
Input: The principle of superposition states that in an undisturbed stack of sedimentary strata the oldest layer is at the base and the youngest at the top.
Output: | The law of superposition is best described by: in undisturbed layers of sedimentary rock, the lowest layers contain the older rocks. | 2 | NIv2 | task1530_scitail1.1_sentence_generation | zs_opt | [
0.08764875680208206,
0.12488052248954773,
-0.7688173055648804,
-0.6837582588195801,
-0.06681342422962189,
-0.39043134450912476,
0.20342642068862915,
0.5308438539505005,
0.41109973192214966,
-0.6290554404258728,
0.05638549476861954,
-0.17631188035011292,
-0.5784140825271606,
0.5514895915985... |
Teacher:In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Teacher: Now, understand the problem? Solve this instance: English: Since leaving office in 2003 due to term limits, he has advocated for marijuana legalization, climbed Mount Everest, and has entered into presidential politics.
Hindi: चोट लगने से उनकी संभावना प्रभावित हो सकती है, लेकिन उनके साथ एक साक्षात्कार में, उन्होंने नहीं सोचा था कि यह कोई बड़ी समस्या होगी।
Student: | No | 6 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.7551125288009644,
0.0676322728395462,
0.7393184900283813,
0.3130813241004944,
-0.032439492642879486,
-1.1789618730545044,
0.38918977975845337,
0.7573320865631104,
0.17068415880203247,
-0.8000767230987549,
-0.017379166558384895,
0.5009903907775879,
-0.10768662393093109,
0.024261623620986... |
Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
One example is below.
Q: Tweet: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymized_account, Question: Does the tweet contain cyberbullying (harmful) content?
A: Yes
Rationale: The tweet contains Bullying content
Q: Tweet: @anonymized_account @anonymized_account @anonymized_account Chwila, ma nie rosnąć tylko maleć! ;-) , Question: Does the tweet contain cyberbullying (harmful) content?
A: | No | 9 | NIv2 | task839_cdt_classification | fs_opt | [
-1.413590669631958,
1.0614761114120483,
0.5171937942504883,
0.3129979074001312,
-0.8280623555183411,
-0.7158132791519165,
0.9019767642021179,
-0.7868379354476929,
-0.12037992477416992,
0.06954115629196167,
-0.3695617914199829,
0.24956026673316956,
-0.7655786871910095,
-0.02476242557168007,... |
Instructions: In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the passage or linked information.
Input: Passage: Sebastián Edwards (born 16 August 1953, Santiago, Chile) a member of the Edwards family is a Chilean economist, professor, speaker, and consultant. He is currently the Henry Ford II Professor of International Business Economics at the UCLA Anderson School of Management at the University of California, Los Angeles (UCLA). From 1993 until April 1996, he was the Chief Economist for the Latin America and Caribbean Region of the World Bank. He is also a research associate of the National Bureau of Economic Research (NBER), a member of the advisory board of Transnational Research Corporation and co-chairman of the Inter American Seminar on Economics (IASE). He is the Past President of the Latin American and Caribbean Economic Association (LACEA), an international professional association of economists with academic interests in Latin America and the Caribbean region. He was a member of the Scientific Advisory Council of the Kiel Institute of World Economics, Kiel-Germany. He is a member of California Governor Arnold Schwarzenegger's Council of Economic Advisors.
Link Information: He served as the 38th Governor of California from 2003 to 2011 Answer: 8
Output: | How long did the actor that Edwards worked with as advisor served as Governor of California? | 3 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
0.6072314381599426,
0.17211607098579407,
-1.0263898372650146,
-0.38624951243400574,
0.18961676955223083,
0.02255292236804962,
0.36916351318359375,
0.9742432832717896,
-0.27415555715560913,
0.22981029748916626,
0.01958490163087845,
1.0211076736450195,
-0.6024959087371826,
0.4510245025157928... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
Example: Hello! I would love to learn about Antigua and Barbuda today.
Antigua and Barbuda is an island nation in the Caribbean Sea. The country is part of the British Commonwealth.
That is very interesting! What can you tell me about "symbols" in Antigua and Barbuda?
Agave Karatto is a symbol of the country and was included in Meghan Markle's wedding veil which included distinct flora from all of the commonwealth's countries.
oh Wow! That is really cool! i never knew, Can you give me any other info about "symbols" in Antigua and Barbuda?
I do not have any further information about symbols but Calypso and soca music are both important to the culture.
Okay, I'd love to learn about Notables in Antigua and Barbuda.
I do not have any information about that but I can tell you that the islands became independent in 1981.
Can you tell me more about the Culture in Antigua and Barbuda?
They have the most technologically advanced hospital in the Caribbean.
I didn't know that! Can you tell me more about the Hospital there?
It was opened as part of an education mission and is called the Mt St John Medical Center in the nations capital, Saint John.
That is Interesting! I would like to hear more about the education mission if you have any information on that.
Unfortunately I have no further information regarding that but I can tell you that there are two foreign owned for profit off shore medical schools, the American Unversity of Antigua and The University of Health Sciences Antigua.
Thank you so much for all your information!
You are welcome!
Output: Antigua and Barbuda
Here the topic discussed is mostly about Antigua and Barbuda. Thus the output is correct.
New input case for you: Hello, Can you tell me about China?
China currently has more than 1.4 billion people (as of 2017), which is more than any other country in the world. The capital is Beijing, and Shanghai is the city with the most people living in it.
I didn't know that. What about its demographics?
China has more than 160 cities with a population of over one million.
Wow, I'd like to hear more about its demographics please.
While it is still considered a middle-income country by Western standards, China's rapid growth has helped more than 800 million people out of poverty since 1973.
Thanks for that information. Any cool facts about its science and technology?
China declared Artificial Intelligence (AI) technology to be a priority investment sector for economic growth under the Artificial Intelligence Development Plan released by China's State Council in 2017.
How interesting, anything else you can tell me about this?
China's investment in basic and applied scientific research remains behind the leading technological powers of the United States and Japan.
Thank you for providing me with this information!
Great! Let me know if you'd like to anything else.
Output: | China | 1 | NIv2 | task578_curiosity_dialogs_answer_generation | fs_opt | [
0.5956628322601318,
0.12962961196899414,
-0.531590461730957,
-0.7273055911064148,
0.699196994304657,
-0.25292742252349854,
0.31760042905807495,
0.8246798515319824,
-0.9815541505813599,
0.5063730478286743,
-0.001161152496933937,
0.22494164109230042,
-0.32192856073379517,
0.4434348940849304,... |
Instructions: This task is to translate the English language Input to Telugu Language Output
Input: Contact Us - Wuxi Linbay Machinery Co., Ltd
Output: | మమ్మల్ని సంప్రదించండి - ఉక్షి Linbay మెషినరీ కో, లిమిటెడ్ | 3 | NIv2 | task1616_cc_alligned_translate_eng_tel | zs_opt | [
0.2803173065185547,
1.0503761768341064,
-0.22264492511749268,
0.352784663438797,
0.14411605894565582,
-0.9675467610359192,
0.1048458069562912,
-0.45669618248939514,
-0.2946632504463196,
-0.016410190612077713,
-0.006334972567856312,
0.37319183349609375,
0.5864088535308838,
-0.26515817642211... |
You will be given a definition of a task first, then some input of the task.
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.
Context: Tracy had a new dish at a restaurant and tried the recipe at home.
Question: Why did Tracy do this?
Options: (A) clean the kitchen (B) enjoy the food (C) wash dishes
Answer: B
Output: | No | 1 | NIv2 | task579_socialiqa_classification | zs_opt | [
-0.24765998125076294,
0.04412515461444855,
-0.020026708021759987,
0.9024072289466858,
0.42002129554748535,
-0.33652228116989136,
0.35513728857040405,
0.7077678442001343,
-0.02961139753460884,
0.5370101928710938,
0.4196992814540863,
-0.1871640980243683,
-0.08211920410394669,
-0.654510676860... |
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Example input: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
Example output: English
Example explanation: Input sentence is in English language as all the characters are of English alphabets only.
Q: अर्जेंटीना के तट पर समुद्री यात्रा के दौरान रवीन्द्रनाथ अचानक बीमार पड़ गए और ब्यूनस-आयर्स में उन्हें जहाज से उतरने पर मजबूर किया - जहां के एक हृदय विशेषज्ञ ने उन्हें कुछ समय तक पूरा विश्राम करने को कहा ।
A: | Hindi | 3 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | fs_opt | [
0.3170512914657593,
0.6812818050384521,
0.34845221042633057,
0.3786245584487915,
-0.23880210518836975,
-0.5090476274490356,
0.2295370250940323,
0.5187290906906128,
0.2547586262226105,
-0.40817028284072876,
-0.17298243939876556,
-0.497572660446167,
0.10179522633552551,
-0.03843078017234802,... |
Detailed Instructions: In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
Problem:I bought this toy and put one of my dogs in her crate with it. I just filled it with a handful of kibble. 1/2 hour later the Tug a Jug was broken. My dog had chewed the end off where it screws on. Her chewing destroyed the threads so the toy is useless. She's a 55 pound food motivated dog, medium chewer. My original worry about the Tug a Jug was that it would be noisy on hard floors. It never made it that far. I had better luck with the Busy Bone toy, although she can get the Gnawhide rings off pretty quick. At least that one is still usable.
Summary: Dog managed to open it & destroy in a few minutes!
Solution: | False | 8 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
-0.3176889717578888,
0.3547874093055725,
-0.15222302079200745,
0.014951582066714764,
0.0010652251075953245,
-0.6287487745285034,
0.6146572828292847,
0.3114054203033447,
-0.6495239734649658,
-0.32823920249938965,
0.005543878301978111,
0.19647212326526642,
-0.34582245349884033,
-0.1739018410... |
In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person. Mentions of people in the text don't necessarily mean the text is about a person.
--------
Question: Text: Perigomphus pallidistylus is a species of dragonfly in family Gomphidae. It is found in Costa Rica and Panama. Its natural habitats are subtropical or tropical moist lowland forests and rivers. It is threatened by habitat loss.
Answer: No
Question: Text: Nazr Tahiru Mohammed (pronounced NAH-zee; born September 5 1977) is an American professional basketball player who currently plays for the Chicago Bulls of the National Basketball Association (NBA). He plays the center position. He is 6 ft 10 in (2.08 m) and 250 lb (113.4 kg).
Answer: Yes
Question: Text: Fragrant World is the third studio album by American psychedelic pop band Yeasayer released on August 21 2012 on Secretly Canadian.
Answer: | No
| 7 | NIv2 | task632_dbpedia_14_classification | fs_opt | [
-0.052813172340393066,
0.1073165163397789,
-0.5338382720947266,
0.3077704608440399,
0.2259434461593628,
-0.5880348682403564,
1.1651685237884521,
0.18843001127243042,
-0.45222675800323486,
0.6944169402122498,
-0.4397086501121521,
0.20908090472221375,
-0.7017868161201477,
-0.4705518186092376... |
Given the task definition, example input & output, solve the new input case.
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
Example: I_TURN_LEFT I_JUMP
Output: jump left
If the agent turned to the left and jumped, then the agent jumped to the left.
New input case for you: I_RUN I_TURN_LEFT I_TURN_LEFT
Output: | run and turn left twice | 1 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.066730797290802,
0.515799880027771,
-0.4119035601615906,
0.45966631174087524,
0.007599304895848036,
0.20324896275997162,
0.24600850045681,
0.931253969669342,
-0.3905468285083771,
-0.01908552646636963,
-0.8778696060180664,
-0.44523048400878906,
-0.5125758647918701,
-0.31184348464012146,
... |
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 reason for the Head or not. The reason provides a post-fact explanation of the cause of an event. For example, why one has to walk could be explained by a car has broken down. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
[Q]: Head: PersonX accepts ___ in exchange<sep>Tail: banks his money
[A]: No
[Q]: Head: become more clean<sep>Tail: take shower
[A]: Yes
[Q]: Head: get clean<sep>Tail: good hygiene important to health
[A]: | Yes
| 5 | NIv2 | task1208_atomic_classification_xreason | fs_opt | [
0.5074024200439453,
0.4197336435317993,
-0.07470011711120605,
0.13820473849773407,
-0.6505405306816101,
-0.952426016330719,
0.6467809677124023,
0.6130523085594177,
-0.4301612377166748,
-0.13621506094932556,
-0.49007177352905273,
-0.01487994845956564,
-0.6844251155853271,
-0.262520968914032... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
しかし、FDAは若い利用者が他のOTCへ切り替えることによる似たような「潜在的な行動への影響」を考慮しなかったし、前もって年上のデータから若者に聴衆のデータを推定することが適切だと考えていた。
| However, the FDA had not considered similar "potential behavioral implications" for younger users for other OTC-switches and had previously considered it appropriate to extrapolate data from older to younger audiences. | 5 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.6270219087600708,
0.2971828877925873,
0.3558887541294098,
-0.730678915977478,
-0.0726960301399231,
-0.3158661127090454,
0.6811559200286865,
0.5868299007415771,
0.5500949025154114,
-0.2869570851325989,
-0.591042160987854,
0.629591703414917,
-0.8214285373687744,
-0.19520704448223114,
0.... |
Detailed Instructions: Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the author is considering doing something in the future. Say 'yes' if the claim is true otherwise say 'no'
Q: CLAIM : The following post is HISTORICAL. POST : I am living abroad and I have a long distance relationship with my gf. I use twitter actively and sometimes I talk with people with a friendly behavior. I don't have much friends in here to go out casually.
Last semester there was this girl I know from my home city, i barely knew her (we've met a few times) and she was doing exchange semester in another country. I learned that on twitter and asked her about her exchange like when did she go or how did she feel. Sometimes I talk with people or make jokes with people by mentions.
My girlfriend thinks it is not normal, asks me why do I need to talk with people casually.
AITA for talking people with a friendly on social media and find it is okay when you're in a relationship?
A: | yes | 9 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
-0.8034144043922424,
0.5120932459831238,
0.410923033952713,
-0.028414983302354813,
-0.09455178678035736,
-0.889589250087738,
0.4288787841796875,
0.6249136328697205,
-0.06459416449069977,
-0.22699278593063354,
-0.25652027130126953,
0.5875502228736877,
-0.8704456090927124,
0.1670284271240234... |
instruction:
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. What may (or may not) happen before (or after, or during) an event? C. What may (or may not) be a plausible fact about someone (or something)? D. What may (or may not) happen if an event happens (or did not happen)? You can also create other types of questions. DO NOT make your question answerable without looking at the context, or question of which the correct answer can be directly extracted from the context. DO NOT ask a question that requires very specialized knowledge that is not common sense. DO NOT ask too simple or too short questions. Your question must be related to the context and answerable with common sense. Try to add more variations and complexity to the questions.
question:
Context: I first noticed her boots : camel - colored , ankle - high . She had shapely long legs , and she wore a striking pale coat that was yet somehow tailored incorrectly to her shoulders . She was talking on her cell phone as we walked past , and when I looked back - " Look , Kenneth ! " He whirled around to catch sight of the roses , the mille upon mille of dark red roses she was carrying over her shoulder in a bouquet .
answer:
What was detail that I oddly noticed about the woman 's coat ?
question:
Context: I realised when she needed me , most of the time I was n't there for her at all . I could ignore her for 1 whole week but she did n't mind at all cause ' she knew I need to work . And I knew she needs to study . Yes , I wo n't give her up because of problems .
answer:
How can the relationship in the story best be described based on the provided infor ?
question:
Context: When I heard she was gone , I jumped back in my car and just drove and drove , crying the whole time . I had lost other pets before , but Sheila had been mine , so she was my heartbreak . A couple of years later , my dad and I had to make the decision to put our Siamese cat , Char , to sleep . She had feline leukemia - the vaccination was n't yet available .
answer:
| What may the narrator seek to do amid this recent heartbreak ?
| 9 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.2233125865459442,
0.055013641715049744,
-0.4102206230163574,
0.5641704201698303,
-0.22369888424873352,
-0.5028100609779358,
0.2522088587284088,
0.9373185634613037,
-0.23894476890563965,
0.24945366382598877,
-0.48637855052948,
0.27873045206069946,
-0.2708894610404968,
0.6650675535202026,
... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Problem:Czerpała dosłownie z wystąpień samej Palin.
Solution: | بل اقتبسوه كلمة كلمة من التصريحات الخاصة ببالين. | 8 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
0.008404993452131748,
0.8348445296287537,
-0.5379955768585205,
-0.4155544638633728,
-0.34717482328414917,
-0.14776603877544403,
1.6381295919418335,
-0.4560883045196533,
0.7944108247756958,
-0.14693349599838257,
-0.777193546295166,
-0.03727826476097107,
-0.9798765778541565,
0.26872578263282... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Q: Estamos rodeados por las personas más maravillosas que hacen cosas que parecieran ser absolutamente imposibles.
A: نحن محاطون بواسطة أكثر الشعوب روعة الذي يعملون أشياء يبدو من المستحيل تماما فعلها.
****
Q: Y por último, alguna de estas cosas actúan como imitaciones.
A: وفي النهاية ، فإن بعضا من هذه الأشياء بمثابة المحاكاة.
****
Q: (risas) Esta ciencia es distinta, más general, que la ciencia basada en las matemáticas que hemos tenido en los últimos 300 años, apoximadamente.
A: | (ضحك) هذه العلم مختلف ، أكثر عمومًا ، من العلوم المعتمدة على الرياضيات التي نعرفها في 300 عام مضت.
****
| 4 | NIv2 | task1228_ted_translation_es_ar | fs_opt | [
-0.7945725917816162,
1.2360374927520752,
0.5704390406608582,
-0.9183239340782166,
-0.43332546949386597,
-0.013108119368553162,
0.4703630208969116,
0.3150206208229065,
0.5378545522689819,
-0.2736932933330536,
-1.2584209442138672,
0.8282025456428528,
-0.2380187213420868,
0.05192761495709419,... |
You will be given a definition of a task first, then some input of the task.
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, PersonX will be seen as what is mentioned in the Tail or not. In this task, PersonX will be seen as the Tail if the Tail describes PersonX's persona or attribute as perceived by others given an event. In the gift-giving example, X may be seen as generous or giving. In contrast, in an event such as PersonX steals a car, PersonX may be perceived as evil. 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 feels more relaxed<sep>Tail: tense
Output: | Yes | 1 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.25767233967781067,
-0.27233052253723145,
0.2607795298099518,
0.4195175766944885,
-0.0759127289056778,
-1.141886591911316,
1.1136162281036377,
0.9287077188491821,
-0.4192722737789154,
-0.04736261069774628,
-0.28266915678977966,
-0.46202343702316284,
-0.8781203031539917,
-0.102120041847229... |
Definition: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Input: با دانستن این موضوع ، به همراه خانواده جوانم به کنیا نقل مکان کردیم.
Output: | Wiedząc o tym, wraz z moją młodą rodziną, przeprowadziliśmy się do Kenii. | 2 | NIv2 | task1272_ted_translation_fa_pl | zs_opt | [
-0.32988283038139343,
1.0787955522537231,
-0.9616578221321106,
-0.1961471289396286,
-1.0704638957977295,
-0.8009141087532043,
0.6533777117729187,
0.2085275650024414,
0.8316853046417236,
0.10532984137535095,
-0.18914034962654114,
0.6366536617279053,
-0.7280266880989075,
0.5585846900939941,
... |
In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
Example: Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of his clothes were either too formal or too casual. Sentence 3: He decided to buy a pair of khakis. Sentence 4: The pair he bought fit him perfectly. Sentence 5: Marcus was happy to have the right clothes for the event.
Example solution: Marcus Buys Khakis
Example explanation: Marcus's reasons for buying khakis is established, followed by his purchase of them and reaction.
Problem: Sentence 1: Landon was recently engaged. Sentence 2: He was taking his new fiancee's engagement ring to be resized. Sentence 3: On his way to the jeweler he stopped for a hot dog. Sentence 4: The ring must have fallen from his pocket while he was eating. Sentence 5: He was lucky enough to find the ring after hours of frantic panic.
| Solution: Lost Engagement Ring | 5 | NIv2 | task219_rocstories_title_answer_generation | fs_opt | [
0.4228265881538391,
0.21503359079360962,
-0.21423491835594177,
-0.24252431094646454,
0.8469967842102051,
-0.43468642234802246,
0.36380714178085327,
0.9075702428817749,
-0.15626679360866547,
0.009795384481549263,
-0.7438419461250305,
-0.21597671508789062,
-0.554313063621521,
0.3863435387611... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Q: Y me pregunto cuán a menudo sucede esto.
A: | E mi chiedo quanto spesso accadano queste cose. | 4 | NIv2 | task1101_ted_translation_es_it | zs_opt | [
-0.11813043802976608,
1.009757399559021,
-0.533515989780426,
0.27846312522888184,
-0.3836274743080139,
-0.20307353138923645,
0.23344478011131287,
0.999189019203186,
0.4243153929710388,
-0.6073410511016846,
-0.4743439555168152,
0.29182684421539307,
-0.5287802219390869,
0.9824718236923218,
... |
Teacher:In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For that you can use the Context; however, Context is not provided in all the inputs. Also, in some inputs, there can be zero emotion; for that return 'None'.
Teacher: Now, understand the problem? Solve this instance: Context: Randy hopped out of the moving truck. He helped his family unload the boxes into their new home. The rest of the day was spent unpacking and moving furniture.
Sentence: By night, Randy was exhausted.
Character: Randy
Student: | proud | 6 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
0.1969042867422104,
0.1737729161977768,
0.43416523933410645,
-0.18224014341831207,
0.10318051278591156,
-0.5144317150115967,
0.6438765525817871,
0.8538691997528076,
-0.10697779059410095,
-0.3207964301109314,
-0.47052693367004395,
-0.2500119209289551,
-0.6270177960395813,
0.0684652775526046... |
Given the task definition and input, reply with output. You are given a target profession, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea that goes against the widely held but oversimplified notion of a group of people. Sentences and targets are unrelated if there is no relevance between them.
Target: physicist
The physicist is working. The sky is dark.
| unrelated | 5 | NIv2 | task319_stereoset_classification_profession | zs_opt | [
-1.0404276847839355,
0.6710860133171082,
0.2540580630302429,
-0.16077552735805511,
-0.09419521689414978,
0.21283379197120667,
0.3529163599014282,
0.6964184045791626,
0.5660707950592041,
-0.12315762042999268,
-0.7168756723403931,
-0.27456939220428467,
-0.5572611093521118,
-0.312301427125930... |
You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Q: Sentence: With a fairly high price range, xname is located in the riverside area near xnear. It sells Indian food and is children friendly. Overall, the customer rating is 1 out of 5. ; Categories: cuisine, location, price
A: cuisine[Indian], location[riverside], price[high]
****
Q: Sentence: with a high price range the Japanese coffee shop called xname the children friendly place has a 3 out of 5 customer rating ; Categories: eattype, familyFriendly, price
A: eattype[coffee shop], familyFriendly[yes], price[high]
****
Q: Sentence: xname is a pub that services Chinese food. Customers have rated xname 1 out of 5. Children are welcome. ; Categories: cuisine, eattype, familyFriendly
A: | cuisine[Chinese], eattype[pub], familyFriendly[yes]
****
| 4 | NIv2 | task1597_nyc_slot_filling | fs_opt | [
-0.2589266300201416,
-0.09021434187889099,
-0.4676320552825928,
-0.5308191180229187,
-0.2800169587135315,
0.5190684795379639,
0.3131222724914551,
0.9539844989776611,
0.31651389598846436,
-0.31842857599258423,
0.6540228128433228,
-0.5005282163619995,
-0.4282991886138916,
-0.0361849442124366... |
You will be given a definition of a task first, then some input of the task.
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguishing the correct answer from the incorrect answer is not very easy. Make sure you don't accidentally provide another correct answer! Also, make sure they sound reasonable (e.g., might be on a school pop quiz). A good incorrect answer can be constructed using words associated with the question, but not the correct answer. For example, for the question "What helps plants survive?", using words like "weeds", "vase", "bee" (associated with "plant"), or "first aid", "parachute", "accident" (associated with "survive") etc. Your incorrect answers make the question hard, so these results in good incorrect answers.
Fact: Boats are used for transportation.
Question: What is used for transportation?
Correct Answer: boats.
Output: | churches. | 1 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.6325098276138306,
0.6268256902694702,
-0.22334149479866028,
0.593320906162262,
-0.03680230677127838,
-1.2292683124542236,
0.5412846803665161,
0.37416356801986694,
-0.28886890411376953,
-0.19624388217926025,
-0.9635757803916931,
0.03814305365085602,
-0.057766664773225784,
0.23061597347259... |
Part 1. Definition
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Part 2. Example
A ideia é muito, muito simples.
Answer: このアイデアはとてもシンプルで
Explanation: The Portugese sentence is correctly translated into Japanese, because the meaning is preserved.
Part 3. Exercise
A produção de carros sofreu uma paragem brusca.
Answer: | 車の生産自体がギーッと急停止しました | 7 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
-0.17789769172668457,
0.47652554512023926,
0.2920922636985779,
-0.6410214900970459,
-0.14589519798755646,
-0.45430320501327515,
0.7344961762428284,
0.3047105371952057,
0.36599454283714294,
-0.7008436918258667,
-1.3047577142715454,
-0.242371067404747,
-0.6618800163269043,
0.1645551919937133... |
instruction:
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
question:
@ElectraHotels very very disappointed from the level of service so far. No concierge service,No housekeeping,No room service #unhappy
answer:
Sad
question:
Im kind of confused. The one thing i do right now has a great future, but on the other hand so does the new thing . #needhelp
answer:
Sad
question:
@Daily_Express He suffers with depression again right wingers treat people with depression as lazy or filthy #ToryBritain
answer:
| Sad
| 9 | NIv2 | task399_semeval_2018_task1_tweet_sadness_detection | fs_opt | [
-1.3377535343170166,
0.24149969220161438,
0.5882290005683899,
-0.4318098723888397,
-0.20729094743728638,
-0.7356467247009277,
1.216264009475708,
0.2729853391647339,
0.26723164319992065,
0.5568276643753052,
0.02970995381474495,
-0.004831526894122362,
-0.11112117767333984,
0.3310974836349487... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Example: [7, 9, 2, 8]
Output: [22, 28, 1, 4]
The odd numbers, seven and nine, were multiplied by three and added one. The even numbers, two and eight, were divided by two. So this is a good example.
New input case for you: [132, 59, 57]
Output: | [66, 178, 172] | 1 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.2916984558105469,
0.8366269469261169,
-0.3776867687702179,
-0.2539863586425781,
0.04085284844040871,
-0.11907808482646942,
0.8109838962554932,
0.6342765688896179,
0.13031363487243652,
0.17969180643558502,
-0.46745896339416504,
-0.2366774082183838,
-0.44556987285614014,
-0.24372906982898... |
Teacher:Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) original network, 15) parent company, 16) point in time, 17) production company, 18) residence, 19) series, 20) service entry, 21) sex or gender, 22) spouse, 23) standards body question.
Teacher: Now, understand the problem? Solve this instance: Context : Little Old New York is a 1940 black-and-white historical drama from 20th Century Fox that was produced by Darryl F. Zanuck and directed by Henry King.
Question : Which production company is involved with Little Old New York?
Student: | production company | 6 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
-0.4406038224697113,
0.18091832101345062,
0.3053860068321228,
-0.3567093014717102,
0.10056557506322861,
0.35891109704971313,
-0.500118613243103,
0.5106563568115234,
-0.18263669312000275,
0.09601971507072449,
-0.24663178622722626,
-0.06036413460969925,
-0.591852605342865,
-0.618698298931121... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
But Eluned Morgan conceded that it would be "difficult for us to stop" from a legal point of view. Her comments were criticised by a Labour AM. Alun Davies said threatening legal action "sounds like the last breath before you're thrown out of the pub". Mr Davies said he was not convinced the Welsh Government would "have a leg to stand on" in trying to shape international trade deals after Brexit. Following Donald Trump's comments during last week's trade visit that the NHS would be "on the table" in any future trade talks between the UK and the USA, Eluned Morgan said there was "absolutely no prospect whatsoever of us allowing the Welsh NHS to be part of any negotiation." The US President then rowed back on his initial comments following criticism from a number of MPs. Asked about her response to President Trump's remarks as she gave evidence to the Assembly's Brexit committee on Monday, Ms Morgan said "legally, it would be difficult for us to stop because we don't have a veto over trade". "Politically, I think it's extremely unlikely to happen," the international relations and the Welsh language minister said. "They [the UK Government] should not be concluding any trade agreements without consulting us where we have the power." Ms Morgan explained that UK and Welsh government officials are working on an agreement or 'concordat' for how future trade deals are negotiated. During a robust exchange, the Labour AM Alun Davies said: "I want something which is in law to which I can hold you to account and which colleagues in Westminster can hold the UK Government to account. "The argument we'll make life difficult for them, it sounds alright on the street, but it's not the reality of intergovernmental relations." "The United Kingdom has to find a way of functioning. "At the moment, your answers aren't giving me any confidence that there is that structure in place because, if the Welsh Government's argument is, 'we'll see you in court', it's not a very impressive argument either for the continuation of the structure of United Kingdom as a state or the commitment of the government within the United Kingdom to actually work together," he added. Responding to the criticism, Ms Morgan said: "Is the current intergovernmental structure adequate? "Absolutely not... and it's not just in relation to trade, it's in relation to almost every aspect of government policy. So, that infrastructure needs to be built."
Solution: NHS Wales: Court action if trade deals affect service?
Why? The output phrase is the appropriate title for the given text and it highlights the essence of the passage.
New input: By James WilliamsPolitical reporter, BBC Wales Andrew RT Davies urged the first minister to "rein his special advisers in" after the Conservative AM found the evidence in emails mentioning him. One email sent to Health Minister Mark Drakeford said questions could be passed onto AM Christine Chapman. The Welsh government said it was "fairly shocking" it was seen as news. Ms Chapman has been asked to comment. Mr Davies had asked under data protection laws for details of any written correspondence to or from Welsh ministers naming him between January and July 2014. 'Government's bidding' His request followed the sacking of Environment Minister Alun Davies in July 2014 for asking civil servants to obtain private financial information about leading opposition AMs. One of the responses was an extract of an email sent on 18 March 2014 by a Welsh government special adviser to Mr Drakeford, due to answer AMs' questions the following day. Under the headline "Yet more extras", it said: "I've asked Labour to pass on the supplementary [question] about prescription charges in England - mindful of comments from Labour AMs today. "I will see if Christine [Chapman] wouldn't mind asking about DTOC [Delayed Transfers of Care] as she's not happy about the suggested supplementary on patient complaints/negative perceptions of NHS following today's exchange between the FM [first minister] and Andrew RT Davies." The suggested questions were not in fact asked in the Senedd, but Mr Davies said: "Labour members are obviously clearly doing the government's bidding for them, directly supplied by special advisers which are paid [for by] the taxpayer." A spokesman for the first minister said: "It is fairly shocking that this is considered news, either by the BBC or the Welsh Conservatives, and shows a complete lack of understanding of how governments work, right across the UK."
Solution: | Planted question bid 'abuses system', Tory leader claims | 0 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.5910989046096802,
1.0798020362854004,
-0.049537189304828644,
-0.7185249328613281,
0.6062943339347839,
-0.36730021238327026,
0.4704173505306244,
0.8535425066947937,
-0.6347300410270691,
0.1335323601961136,
0.3846062123775482,
0.8775426149368286,
-0.012846939265727997,
0.7036541700363159,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
[EX Q]: Penso che una possibile spiegazione possa essere trovata tornando al fenomeno della muta.
[EX A]: And I think one explanation for this could be going back to the molting phenomenon.
[EX Q]: (♫ Aaaaaah... ♫) Eh no, con me! Se lo fate senza di me, mi sento ancor più superfluo di adesso.
[EX A]: Audience: ♫ Aaaaaaah... ♫ Itay Talgam: Come on, with me. If you do it without me I feel even more redundant than I already feel.
[EX Q]: Affermeranno di essere medium, sensitivi, qualsiasi cosa.
[EX A]: | They claim to be psychics, or sensitives, whatever they can.
| 6 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
-0.07621829956769943,
0.18881672620773315,
-0.035737257450819016,
-0.33193886280059814,
-0.21005091071128845,
-0.9469874501228333,
-0.2708996832370758,
1.119335651397705,
-0.05416342616081238,
-0.17806357145309448,
-0.2651430070400238,
0.23816628754138947,
-0.5533242225646973,
0.3747289776... |
Detailed Instructions: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks 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.
Q: run around left thrice and jump thrice
A: | I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_JUMP I_JUMP I_JUMP | 9 | NIv2 | task130_scan_structured_text_generation_command_action_long | zs_opt | [
-0.1683967411518097,
0.9159717559814453,
-0.34730809926986694,
-0.07069981843233109,
0.025012223049998283,
0.30309194326400757,
0.38486021757125854,
-0.041740138083696365,
-0.12887322902679443,
-0.23446565866470337,
-0.8757820129394531,
0.31938138604164124,
-0.597367525100708,
0.0901914089... |
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 can be characterized by being or having the Tail or not. Being characterized usually describes entities' general characteristics such as rose is red, or subjective attributes such as thirst is uncomfortable. It can also map to descriptors that speak to the substance or value of items such as meat has the property of being stored in the freezer or bike is powered by a person's legs. 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: ocd<sep>Tail: chronic
Output: | Yes | 2 | NIv2 | task1212_atomic_classification_hasproperty | zs_opt | [
0.0908815935254097,
0.17894600331783295,
0.012423612177371979,
-0.16263431310653687,
-0.38668644428253174,
-0.7215778827667236,
0.7626792788505554,
0.6304790377616882,
-0.20061039924621582,
-0.1083671897649765,
-0.7834912538528442,
-0.5582995414733887,
-0.370265394449234,
-0.00234163482673... |
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