DataHammer/scimrc huggingface dataset:
Question: Which NBA franchises have the most championships?
Answer: The Los Angeles Lakers and Boston Celtics each have 17 NBA championships, the most of any team.
Question: What is an AVA when it comes to wine?
Answer: AVA stands for American Viticultural Area, which is a designation for legally defined and protected areas (known as appellations) for wine vineyards. This tells a consumer where the grapes that were used in the wine were grown.
Question: Provide key stats about Venus in a bulleted list including days to orbit the sun, mean temperature, number of moons orbiting the planet, and primary element in its atmosphere
Evidence: Venus is the second planet from the Sun. It is sometimes called Earth's "sister" or "twin" planet as it is almost as large and has a similar composition. As an interior planet to Earth, Venus (like Mercury) appears in Earth's sky never far from the Sun, either as morning star or evening star. Aside from the Sun and Moon, Venus is the brightest natural object in Earth's sky, capable of casting visible shadows on Earth in dark conditions and being visible to the naked eye in broad daylight.

Venus is the second largest terrestrial object of the Solar System. It has a surface gravity slightly lower than on Earth and has a weak induced magnetosphere. The atmosphere of Venus consists mainly of carbon dioxide, and, at the planet’s surface, is the densest and hottest of the atmospheres of the four terrestrial planets. With an atmospheric pressure at the planet's surface of about 92 times the sea level pressure of Earth and a mean temperature of 737 K (464 °C; 867 °F), the carbon dioxide gas at Venus's surface is a supercritical fluid. Venus is shrouded by an opaque layer of highly reflective clouds of sulfuric acid, making it the planet with the highest albedo in the Solar System. It may have had water oceans in the past, but after these evaporated the temperature rose under a runaway greenhouse effect. The possibility of life on Venus has long been a topic of speculation but research has not produced convincing evidence thus far.

Like Mercury, Venus does not have any moons. Solar days on Venus, with a length of 117 Earth days, are just about half as long as its solar year, orbiting the Sun every 224.7 Earth days. This Venusian daylength is a product of it rotating against its orbital motion, halving its full sidereal rotation period of 243 Earth days, the longest of all the Solar System planets. Venus and Uranus are the only planets with such a retrograde rotation, making the Sun move in their skies from their western horizon to their eastern. The orbit of Venus around the Sun is the closest to Earth's orbit, bringing them closer than any other pair of planets. This occurs during inferior conjunction with a synodic period of 1.6 years. However, Mercury is more frequently the closest to each.
Answer: - 224.7 Earth days to orbit the sun
- Mean temperature of 737 K (464 °C; 867 °F)
- No moons orbit Venus
- Carbon dioxide is the primary element in the atmosphere
Question: Which country has won the most world cups in soccer?
Answer: Brazil has won 6 Fifa world cups and lead the pack followed by Germany and Italy who have won the coveted prize 4 times each. Argentina has won 3 Fifa world cups and are in 4th place for most world cups in soccer.
Question: What country has hosted the Olympic Games the most often?
Answer: The United States has hosted the Olympic Games 8 times between summer and winter Games.
Question: What is the KeyVec model able to predict in the document?
Evidence: In recent years, the use of word representations, such as word2vec BIBREF0 , BIBREF1 and GloVe BIBREF2 , has become a key “secret sauce” for the success of many natural language processing (NLP), information retrieval (IR) and machine learning (ML) tasks. The empirical success of word embeddings raises an interesting research question: Beyond words, can we learn fixed-length distributed representations for pieces of texts? The texts can be of variable-length, ranging from paragraphs to documents. Such document representations play a vital role in a large number of downstream NLP/IR/ML applications, such as text clustering, sentiment analysis, and document retrieval, which treat each piece of text as an instance. Learning a good representation that captures the semantics of each document is thus essential for the success of such applications.
In this paper, we introduce KeyVec, a neural network model that learns densely distributed representations for documents of variable-length. In order to capture semantics, the document representations are trained and optimized in a way to recover key information of the documents. In particular, given a document, the KeyVec model constructs a fixed-length vector to be able to predict both salient sentences and key words in the document. In this way, KeyVec conquers the problem of prior embedding models which treat every word and every sentence equally, failing to identify the key information that a document conveys. As a result, the vectorial representations generated by KeyVec can naturally capture the topics of the documents, and thus should yield good performance in downstream tasks.
We evaluate our KeyVec on two text understanding tasks: document retrieval and document clustering. As shown in the experimental section SECREF5 , KeyVec yields generic document representations that perform better than state-of-the-art embedding models.
In particular, given a document, the KeyVec model constructs a fixed-length vector to be able to predict both salient sentences and key words in the document.
Answer: It is able to predict both salient sentences and key words in the document.
Question: Is Amazon EKS serverless?
Answer: Amazon EKS with AWS Fargate allows for Serverless Containers to be run.
Question: What is Singlish?
Answer: Singlish (a portmanteau of Singapore and English) (officially similar and related to Singaporean English) is an English-based creole language spoken in Singapore. Singlish arose out of a situation of prolonged language contact between speakers of many different languages in Singapore, including Hokkien, Malay, Teochew, Cantonese and Tamil.

Singlish originated with the arrival of the British and the establishment of English-medium education in Singapore. Elements of English quickly filtered out of schools and onto the streets, resulting in the development of a pidgin language spoken by non-native speakers as a lingua franca used for communication between speakers of the many different languages used in Singapore. Singlish evolved mainly among the working classes who learned elements of English without formal schooling, mixing in elements of their native languages. After some time, this new pidgin language, now combined with substantial influences from Indian English, Peranakan, southern varieties of Chinese, Malay, and Tamil, became the primary language of the streets. As Singlish grew in popularity, children began to acquire Singlish as their native language, a process known as creolization. Through this process of creolization, Singlish became a fully-formed, stabilized and independent creole language, acquiring a more robust vocabulary and more complex grammar, with fixed phonology, syntax, morphology, and syntactic embedding.

Singlish shares many linguistic similarities with Manglish or Bazaar Malay of Malaysia, although a few distinctions can be made, particularly in vocabulary. Manglish generally receives more Malay influence and Singlish more Chinese (Mandarin, Hokkien, etc.) influence. Initially, Singlish and Manglish were essentially the same dialect evolving from the British Malaya economy, born in the trading ports of Singapore, Malacca and Penang when Singapore and Peninsular Malaysia were for many purposes a de facto (from 1963 to 1965, de jure) single entity. Ever since the two countries separated, a divergence has been observed.

Like all languages, Singlish and other creole languages show consistent internal logic and grammatical complexity. Due to its origins, Singlish shares many similarities with other English-based creole languages. As with many other creole languages, it is sometimes incorrectly perceived to be a "broken" form of the lexifier language - in this case, English. The uniqueness of Singlish has been studied by linguistics experts beyond Singapore.
Question: Who was Thales?
Answer: Thales was a greek mathematician. He is famous for the theorem named after him - Thales' theorem - stating that any triangle over a diameter touching a semicircle is rectangular.
Question: How much better is inference that has addition of image representation compared to text-only representations? 
Evidence: Table TABREF31 summarizes the contribution of the images on text representations in test partition. The contribution is consistent through all text-based representations. We measure the absolute difference (Diff) and the error reduction (E.R) of each textual representation with the multimodal counterpart. For the comparison we chose the best text model for each representation. As expected we obtain the largest improvement ($22-26\%$ E.R) when text-based unsupervised models are combined with image representations. Note that unsupervised models are not learning anything about the specific task, so the more information in the representation, the better. In the case of use and vse++ the improvement is significant but not as large as the purely unsupervised models. The best text-only representation is the one fine-tuned on a multimodal task, VSE++, which is noteworthy, as it is better than a textual representation fine-tuned in a text-only inference task like USE.
For the comparison we chose the best text model for each representation. As expected we obtain the largest improvement ($22-26\%$ E.R) when text-based unsupervised models are combined with image representations.
Answer: The answers are shown as follows:
*  largest improvement ($22-26\%$ E.R) when text-based unsupervised models are combined with image representations
Question: What are the words of House Lannister?
Answer: "Hear Me Roar"
Question: From the above passage, provide some of the examples of black swan events. List the events in a bulleted list.
Evidence: The phrase "black swan" derives from a Latin expression; its oldest known occurrence is from the 2nd-century Roman poet Juvenal's characterization in his Satire VI of something being "rara avis in terris nigroque simillima cygno" ("a rare bird in the lands and very much like a black swan").: 165  When the phrase was coined, the black swan was presumed not to exist. The importance of the metaphor lies in its analogy to the fragility of any system of thought. A set of conclusions is potentially undone once any of its fundamental postulates is disproved. In this case, the observation of a single black swan would be the undoing of the logic of any system of thought, as well as any reasoning that followed from that underlying logic.

Juvenal's phrase was a common expression in 16th century London as a statement of impossibility. The London expression derives from the Old World presumption that all swans must be white because all historical records of swans reported that they had white feathers. In that context, a black swan was impossible or at least nonexistent.

However, in 1697, Dutch explorers led by Willem de Vlamingh became the first Europeans to see black swans, in Western Australia.[citation needed] The term subsequently metamorphosed to connote the idea that a perceived impossibility might later be disproven. Taleb notes that in the 19th century, John Stuart Mill used the black swan logical fallacy as a new term to identify falsification.

Black swan events were discussed by Nassim Nicholas Taleb in his 2001 book Fooled By Randomness, which concerned financial events. His 2007 book The Black Swan extended the metaphor to events outside of financial markets. Taleb regards almost all major scientific discoveries, historical events, and artistic accomplishments as "black swans"—undirected and unpredicted. He gives the rise of the Internet, the personal computer, World War I, the dissolution of the Soviet Union, and the September 11, 2001 attacks as examples of black swan events.
Answer: As per the above passage, here are a few examples of black swan events:
Rise of the Internet
The personal computer
World War I
The dissolution of the Soviet Union
The September 11, 2001 attacks
Question: How do they show that acquiring names of places helps self-localization?
Evidence: Table TABREF54 shows the results of PAR. Table TABREF55 presents examples of the word segmentation results of the three considered methods. We found that the unsupervised morphological analyzer capable of using lattices improved the accuracy of phoneme recognition and word segmentation. Consequently, this result suggests that this word segmentation method considers the multiple hypothesis of speech recognition as a whole and reduces uncertainty such as variability in recognition by using the syllable recognition results in the lattice format.
We found that the unsupervised morphological analyzer capable of using lattices improved the accuracy of phoneme recognition and word segmentation. Consequently, this result suggests that this word segmentation method considers the multiple hypothesis of speech recognition as a whole and reduces uncertainty such as variability in recognition by using the syllable recognition results in the lattice format.
Answer: The answers are shown as follows:
* unsupervised morphological analyzer capable of using lattices improved the accuracy of phoneme recognition and word segmentation
* Consequently, this result suggests that this word segmentation method considers the multiple hypothesis of speech recognition as a whole and reduces uncertainty such as variability in recognition
Question: What does the term ACID mean with respect to databases?
Answer: ACID covers 4 properties that Database transactions should have. A stands for Atomicity - either all the work done as part of a transaction should finish or none of it should. C stands for consistency i.e. any changes done by a transaction should pass all validation rules . I stands for Isolation which refers to the idea that transactions should be able to execute correctly independently of other concurrent transactions. D is for Durability. Any work done by a transaction that commits should persist despite failures. Each of these terms requires a more detailed explanation but this is a high level overview of the term ACID in databases
Question: How can I read and write data with Delta Lake?
Answer: You can use your favorite Apache Spark APIs to read and write data with Delta Lake. See Read a table and Write to a table.
Question: Given a reference text about the IBJJF, provide two tournaments organized by IBJJ and the ruleset used by these tournaments.
Evidence: The International Brazilian Jiu-Jitsu Federation (IBJJF) is a for-profit company that hosts several of the biggest Brazilian jiu-jitsu (BJJ) tournaments in the world, including the World Jiu-Jitsu Championship, World No-Gi Championship, Pan Jiu-Jitsu Championship, and European Open Jiu-Jitsu Championship. The federation was created by Carlos Gracie, Jr., who is the head of one of the largest Brazilian jiu-jitsu associations, Gracie Barra. The IBJJF uses the ruleset of the Confederação Brasileira de Jiu-Jitsu (CBJJ). On October 11, 2020, the IBJJF announced that they will begin to allow both heel hooks and knee-reaping for all brown and black belts competing in no-gi tournaments, starting on an undisclosed date in 2021.
Answer: World No-Gi Championship and Pan Jiu-Jitsu Championship are two tournaments organized by the IBJJF. They follow the ruleset of the CBJJ.
Question: Describe a plan for driving from Florida to New York with some great places to stop with American History.
Answer: The drive from Florida to New York is close to 1,200 miles and will take a minimum of 17 hours in a car via interstate 95.  There are many great stops along the way to learn more about American History.  The states you will drive through starting from Florida are Georgia, South Carolina, North Carolina, Virgina, Maryland, Delaware and New Jersey before getting to New York.  A few destinations to stop along the journey are Savannah Georgia which is known as America's first planned city, Charleston South Carolina Fort Sumter where the Civil War Started, Richmond where The Richmond Union Passenger Railway was the first electric streetcar in the U.S, Washington D.C. to visit our nation's capital, Baltimore Maryland where Fort McHenry is located and the Star-Spangled Banner was written and Philadelphia where the Liberty Bell is located.
Question: Where is Rakaia Gorge located?
Evidence: The Rakaia Gorge is located on the Rakaia River in inland Canterbury in New Zealand's South Island.
Answer: The Rakaia Gorge is located on the Rakaia River in inland Canterbury in New Zealand's South Island.
Like its neighbour, the Waimakariri River, the Rakaia runs through wide shingle beds for much of its length, but is forced through a narrow canyon as it approaches the Canterbury Plains.
Question: Do you have to get training to go scuba diving?
Answer: Scuba diving requires training, and normally people gain a scuba diving certification before doing this activity
Question: How many people live in the Netherlands
Answer: The Netherlands has a population of 17.4 million people.
Question: Identify which instrument is string or percussion: Naqareh, Liuqin
Answer: Liuqin is string, Nagareh is percussion.
Question: How old was Josh Logan when Gunshy released its album?
Evidence: Josh Logan (born 1980), born Josh Corder, is a singer-songwriter, vocalist and guitarist best known for his performances on the television shows Rock Star: Supernova and The Voice. By the age of 15, Logan was on-stage as the front man for the local New England rock band Gunshy. The band released one album in 1996, but broke up when Logan was 18. After the breakup, Logan played at local venues for two years as a solo artist, hosting open mic nights as well as performing, to hone his skills as a solo musician.
Answer: Josh Logan was 16 years old. He was born in 1980 and the album released in 1996, so 1996-1980 = 16
Question: Which of Dany's dragons is the largest?
Answer: Daenerys Targaryen's dragon, Drogon, is the largest of her three dragons.
Question: What is the difference between medicare and medicaid?
Answer: Medicare and medicaid are government-run health insurance programs designed to provide health care coverage for different qualifying groups.  

Medicare is a federal program that provides healthcare coverage for people 65 years of age or older.  It can also provide coverage for people under 65 years old if they have a qualifying disability.  There are no income limits in order to qualify for medicare.

Medicaid is a state and federal program that provides health insurance for people with low income and assets.   Individual states establish financial eligibility guidelines to determine who is eligible for coverage. 

It's possible to enroll in medicare and medicaid at the same time if all qualifications are met for both programs.
Question: Who planted the first wine vineyard at California's Mission San Juan Capistrano?
Answer: Father Junípero Serra
Question: What is the difference between software engineer and systems engineer?
Answer: Systems engineers often have more experience working with hardware and networks while software engineers focus on coding and developing applications.
Question: Is 95 degrees Fahrenheit considered to be hot weather?
Answer: Yes, 95 degrees would typically be considered to be hot
Question: Identify which instrument is string or percussion: Tingsha, Bazantar
Answer: Tingsha is percussion, Bazantar is string.
Question: Identify which car manufacturer is British or American: Rolls-Royce, Ford
Answer: Ford is American, Rolls-Royce is British
Question: Which nation placed its astronauts on the moon first?
Answer: The United States won the race for a manned space mission to the moon.
Question: What are the problems related to ambiguity in PICO sentence prediction tasks?
Evidence: Sentences 1 and 2 are labelled incorrectly, and clearly appear far away from the population class centroid. Sentence 3 is an example of an ambiguous case. It appears very close to the population centroid, but neither its label nor its position reflect the intervention content. This supports a need for multiple tags per sentence, and the fine-tuning of weights within the network.
FLOAT SELECTED: Figure 2: Visualization of training sentences using BERTbase. The x and y-axis represent the two most dominant dimensions in the hidden state output, as selected by the t-SNE algorithm. This visualization uses the sixth layer from the top, and shows three examples of labelled P sentences and their embedded positions.
Sentence 3 is an example of an ambiguous case. It appears very close to the population centroid, but neither its label nor its position reflect the intervention content. 
FLOAT SELECTED: Figure 2: Visualization of training sentences using BERTbase. The x and y-axis represent the two most dominant dimensions in the hidden state output, as selected by the t-SNE algorithm. This visualization uses the sixth layer from the top, and shows three examples of labelled P sentences and their embedded positions.
Answer: Some sentences are associated to ambiguous dimensions in the hidden state output
Question: How big is the dataset?
Evidence: Overall, through the process described in Section SECREF3, we have retrieved three datasets of extracted references - one dataset per each of the apex courts. These datasets consist of the individual pairs containing the identification of the decision from which the reference was retrieved, and the identification of the referred documents. As we only extracted references to other judicial decisions, we obtained 471,319 references from Supreme Court decisions, 167,237 references from Supreme Administrative Court decisions and 264,463 references from Constitutional Court Decisions. These are numbers of text spans identified as references prior the further processing described in Section SECREF3.
As we only extracted references to other judicial decisions, we obtained 471,319 references from Supreme Court decisions, 167,237 references from Supreme Administrative Court decisions and 264,463 references from Constitutional Court Decisions. These are numbers of text spans identified as references prior the further processing described in Section SECREF3.
Answer: 903019 references
Question: A group of friends and putting together a D&D group and would like a balance of ranged and melee character classes. Here are the classes they are considering:  Ranger, Rogue, Fighter, Barbarian, Monk, Warlock, Paladin, and Wizard. Please create a dot point list of Ranged and Melee classes in alphabetical order, so that I can share that with my friends.
Answer: Below is the breakdown of classes, listed in alphabetical order in Melee and Ranged groups.

Melee classes:
- Barbarian
- Fighter
- Monk
- Paladin
- Rogue

Ranged classes:
- Ranger
- Warlock
- Wizard
Question: Who invented the game of basketball?
Answer: The game of basketball as it is known today was created by Dr. James Naismith in December 1891 in Springfield, Massachusetts, to condition young athletes during cold months.