DataHammer/scimrc huggingface dataset:
Question: How many lifeboats did the Titanic have?
Evidence: Like Olympic, Titanic carried a total of 20 lifeboats: 14 standard wooden Harland and Wolff lifeboats with a capacity of 65 people each and four Engelhardt "collapsible" (wooden bottom, collapsible canvas sides) lifeboats (identified as A to D) with a capacity of 47 people each. In addition, she had two emergency cutters with a capacity of 40 people each. Olympic carried at least two collapsible boats on either side of her number one funnel. All of the lifeboats were stowed securely on the boat deck and, except for collapsible lifeboats A and B, connected to davits by ropes. Those on the starboard side were odd-numbered 1–15 from bow to stern, while those on the port side were even-numbered 2–16 from bow to stern.
Answer: The titanic had a total of 20 life boats. There were 14 lifeboats with 65 spots, four lifeboats with 47 spots and two lifeboats with 40 spots.
Question: What is Hinton's citizenship?
Evidence: Geoffrey Everest Hinton CC FRS FRSC (born 6 December 1947) is a British-Canadian cognitive psychologist and computer scientist, most noted for his work on artificial neural networks. Since 2013, he has divided his time working for Google (Google Brain) and the University of Toronto. In 2017, he co-founded and became the Chief Scientific Advisor of the Vector Institute in Toronto.

With David Rumelhart and Ronald J. Williams, Hinton was co-author of a highly cited paper published in 1986 that popularised the backpropagation algorithm for training multi-layer neural networks, although they were not the first to propose the approach. Hinton is viewed as a leading figure in the deep learning community. The dramatic image-recognition milestone of the AlexNet designed in collaboration with his students Alex Krizhevsky and Ilya Sutskever for the ImageNet challenge 2012 was a breakthrough in the field of computer vision.

Hinton received the 2018 Turing Award, together with Yoshua Bengio and Yann LeCun, for their work on deep learning. They are sometimes referred to as the "Godfathers of AI" and "Godfathers of Deep Learning", and have continued to give public talks together.
Answer: British and Canadian.
Question: Who coined the term lipstick index and what does it indicate?
Evidence: The lipstick index is a term coined by Leonard Lauder, chairman of the board of Estee Lauder, used to describe increased sales of cosmetics during the early 2000s recession. Lauder made the claim that lipstick sales could be an economic indicator, in that purchases of cosmetics – lipstick in particular – tend to be inversely correlated to economic health. The speculation was that women substitute lipstick for more expensive purchases like dresses and shoes in times of economic distress.
Lauder identified the Lipstick index as sales across the Estee Lauder family of brands. Subsequent recessions, including the late-2000s recession, provided controverting evidence to Lauder's claims, as sales have actually fallen with reduced economic activity. Conversely, lipstick sales have experienced growth during periods of increased economic activity. As a result, the lipstick index has been discredited as an economic indicator. The increased sales of cosmetics in 2001 has since been attributed to increased interest in celebrity-designed cosmetics brands.
In the 2010s, many media outlets reported that with the rise of nail art as fad in the English-speaking countries and as far afield as Japan and the Philippines, nailpolish had replaced lipstick as the main affordable indulgence for women in place of bags and shoes during recession, leading to talk of a nail polish index.Similar sentiment was noted during the coronavirus pandemic, when the mandated use of face masks to prevent the spread of the disease resulted in an increase of eye makeup purchases, suggesting a Mascara index
Answer: The lipstick index is a term coined by Leonard Lauder, chairman of the board of Estee Lauder, used to describe increased sales of cosmetics during the early 2000s recession.
Question: What analysis do they conduct?
Evidence: Public vulnerability databases such as CVE and NVD account for only 60% of security vulnerabilities present in open-source projects, and are known to suffer from inconsistent quality. Over the last two years, there has been considerable growth in the number of known vulnerabilities across projects available in various repositories such as NPM and Maven Central. Such an increasing risk calls for a mechanism to infer the presence of security threats in a timely manner. We propose novel hierarchical deep learning models for the identification of security-relevant commits from either the commit diff or the source code for the Java classes. By comparing the performance of our model against code2vec, a state-of-the-art model that learns from path-based representations of code, and a logistic regression baseline, we show that deep learning models show promising results in identifying security-related commits. We also conduct a comparative analysis of how various deep learning models learn across different input representations and the effect of regularization on the generalization of our models.
We also conduct a comparative analysis of how various deep learning models learn across different input representations and the effect of regularization on the generalization of our models.
Answer: A comparative analysis of how various deep learning models learn across different input representations and the effect of regularization on the generalization of our models.
Question: Why is Utah a top destination for skiing
Answer: Utah is a top destination for all types of snow based activities including skiing, snowboarding, cross country skiing and snowmobiling.  Utah snowstorms produce some of the best snow in the country based on Utah's average snow density, resulting from quick-change temperature fluctuations.  

Utah is home to big mountains, thousands of acres of skiable terrain, and everything from top rated ski resorts to small local hills.  Utah's most visited ski resorts include: Snowbird, Deer Valley, Park City, Alta and Snowbasin.
Question: Who was the original lead singer of the band Linkin Park?
Answer: Chester Bennington was one of the original lead singers of Linkin Park.
Question: Write a review of Ian Bank's The Player of Games
Answer: Loved the story, the journey and the ultimate realization at the end.
The protagonist is such an vivid personality, and Banks does a great job developing his thoughts and emotions.
Loved the overall story telling, and the subtle hints throughout the story of the final ending.
Question: Give me a list of 10 different SciFi movies and which year they were released
Answer: Independence Day (1999)
Dune (2021)
Solaris (2002)
Inception (2010)
Gattaca (1997)
Jurassic Park (1993)
AI Artificial Intelligence (2001)
The Matrix (1999)
The Terminator (1994)
Star Wars (1977)
Question: What are the top oosthreshold performers?
Evidence: In-scope accuracy using the oos-threshold approach is largely comparable to oos-train. Out-of-scope recall tends to be much higher on Full, but several models suffer greatly on the limited datasets. BERT and MLP are the top oos-threshold performers, and for several models the threshold approach provided erratic results, particularly FastText and Rasa.
BERT and MLP are the top oosthreshold performers, and for several models the threshold approach provided erratic results, particularly FastText and Rasa.
Answer: BERT and MLP.
Question: Classify each of these car manufacturers as either French, German, American, Japanese, or other: Lexus, Hyundai, Alfa Romeo, VW, Honda, GM, Citroen
Answer: French: Citroen
German: VW
American: GM
Japanese: Lexus, Honda
other: Hyundai, Alfa Romeo
Question: What is the baseline model?
Evidence: Next, we compared our VTN model with an RNN-based seq2seq VC model called ATTS2S BIBREF8. This model is based on the Tacotron model BIBREF32 with the help of context preservation loss and guided attention loss to stabilize training and maintain linguistic consistency after conversion. We followed the configurations in BIBREF8 but used mel spectrograms instead of WORLD features.
Next, we compared our VTN model with an RNN-based seq2seq VC model called ATTS2S BIBREF8. This model is based on the Tacotron model BIBREF32 with the help of context preservation loss and guided attention loss to stabilize training and maintain linguistic consistency after conversion. We followed the configurations in BIBREF8 but used mel spectrograms instead of WORLD features.
Answer: a RNN-based seq2seq VC model called ATTS2S based on the Tacotron model
Question: What's a good approach to learning a foreign language?
Answer: Language learning requires continuous and regular practice and many hours of effort. However there are tried and true techniques for learning a foreign language that will help you develop fluency quickly:

1) Immerse yourself in the foreign language by reading magazine articles, books, and newspapers.  Also watch movies, television shows, or online videos in the target language, preferably with subtitles in the foreign language.  In addition, you can listen to music and podcasts in the language that you are studying.  The goal is to find a variety of content on diverse topics that interest you and to develop both listening and reading skills. 

2) Find a meet-up group or online conversation partner that is willing to speak with you on a variety of topics in the foreign language you are studying.  Because there are many people who are interested in learning your language, you should be able to find someone who can help you with their's. 

3) Use computer Apps like Duolingo to help you memorize vocabulary.  Apps like Duolingo or Babbel help you learn vocabulary through constant repetition of important words.  Through regular, daily practice, you will find it easier to remember words when you are conversing with someone in a foreign language.    

4) Learn grammar using a qualified teacher.  Individuals who have experience in foreign language pedagogy can assist you with understanding complex grammatical rules.  Grammar is something that cannot be easily picked up through immersion and it is important that you get assistance from a professional when mastering a foreign grammar.  This will help you sound educated and intelligence when you speak the foreign language.
Question: Who directed the Lost in Translation movie?
Evidence: "Lost in Translation is a 2003 romantic comedy-drama film[note 1] written and directed by Sofia Coppola. Bill Murray stars as Bob Harris, a fading American movie star who is having a midlife crisis when he travels to Tokyo to promote Suntory whisky. There, he befriends another estranged American named Charlotte, a young woman and recent college graduate played by Scarlett Johansson. Giovanni Ribisi and Anna Faris also feature. The film explores themes of alienation and disconnection against a backdrop of cultural displacement in Japan. Further analysis by critics and scholars has focused on the film's defiance of mainstream narrative conventions and its atypical depiction of romance.
Murray's performance in Sofia Coppola's Lost in Translation (2003) earned him a Golden Globe and a British Academy Film Award and an Oscar nomination for Best Actor. He has frequently collaborated with directors Ivan Reitman, Harold Ramis, Wes Anderson, Sofia Coppola, Jim Jarmusch, John McNaughton and the Farrelly brothers. He received Golden Globe nominations for his roles in Ghostbusters, Rushmore (1998), Hyde Park on Hudson (2012), St. Vincent (2014), On the Rocks (2020) and the HBO miniseries Olive Kitteridge (2014), for which he later won his second Primetime Emmy Award."
Answer: Lost in Translation was written and directed by Sofia Coppola.
Question: how do they measure discussion quality?
Evidence: As a first step towards developing an automated system for detecting the features of student talk that lead to high quality discussions, we propose a new annotation scheme for student talk during ELA “text-based" discussions - that is, discussions that center on a text or piece of literature (e.g., book, play, or speech). The annotation scheme was developed to capture three aspects of classroom talk that are theorized in the literature as important to discussion quality and learning opportunities: argumentation (the process of systematically reasoning in support of an idea), specificity (the quality of belonging or relating uniquely to a particular subject), and knowledge domain (area of expertise represented in the content of the talk). We demonstrate the reliability and validity of our scheme via an annotation study of five transcripts of classroom discussion.
 The annotation scheme was developed to capture three aspects of classroom talk that are theorized in the literature as important to discussion quality and learning opportunities: argumentation (the process of systematically reasoning in support of an idea), specificity (the quality of belonging or relating uniquely to a particular subject), and knowledge domain (area of expertise represented in the content of the talk).
Answer: Measuring three aspects: argumentation, specificity and knowledge domain.
Question: Given this paragraph about e-readers, what is the e-reader designed and marketed by Amazon?
Evidence: Amazon Kindle is a series of e-readers designed and marketed by Amazon. Amazon Kindle devices enable users to browse, buy, download, and read e-books, newspapers, magazines and other digital media via wireless networking to the Kindle Store. The hardware platform, which Amazon subsidiary Lab126 developed, began as a single device in 2007. Currently, it comprises a range of devices, including e-readers with E Ink electronic paper displays and Kindle applications on all major computing platforms. All Kindle devices integrate with Windows and macOS file systems and Kindle Store content and, as of March 2018, the store had over six million e-books available in the United States.
Answer: Amazon Kindle
Question: Who was Jacques Malouin
Evidence: Jacques Malouin (February 1, 1826 – November 30, 1901) was a lawyer and political figure in Quebec. He represented Quebec-Centre in the House of Commons of Canada from 1877 to 1882 as an Independent member.

He was born in Quebec City, Lower Canada, the son of François-Xavier Rinfret dit Malouin and Marguerite Falardeau. Malouin was admitted to the bar in 1847. He was married twice: to Marie-Angélique Suzor in 1852 and then to Alvine Morriset. Malouin was first elected to the House of Commons in an 1877 by-election held after Joseph-Édouard Cauchon was named Lieutenant-Governor of Manitoba. He was elected again in 1878 but was defeated by Joseph-Guillaume Bossé when he ran for reelection in 1882. Malouin was a member of the council of the Quebec bar and served as bâtonnier in 1869 and 1877. He died in Quebec City at the age of 75.

His son Arthur Cyrille Albert Malouin also represented Quebec-Centre in the House of Commons and later served in the Supreme Court of Canada.
Answer: Jacques Malouin (February 1, 1826 – November 30, 1901) was a lawyer and political figure in Quebec. He represented Quebec-Centre in the House of Commons of Canada from 1877 to 1882 as an Independent member.
Question: What is the standard loft of a pitching wedge in golf?
Answer: While technology has continued to impact golf club manufacturing, decreasing the standard loft of all clubs, today's standard pitching wedges have a range of 45-48 degrees of loft.
Question: What are the three languages studied in the paper?
Evidence: In this paper, we explore the benefit of explicitly modeling variations in the surface forms of words using methods from deep latent variable modeling in order to improve the translation accuracy in low-resource and morphologically-rich languages. Latent variable models allow us to inject inductive biases relevant to the task, which, in our case, is word formation, and we believe that follows a certain hierarchical procedure. Our model translates words one character at a time based on word representations learned compositionally from sub-lexical components, which are parameterized by a hierarchical latent variable model mimicking the process of morphological inflection, consisting of a continuous-space dense vector capturing the lexical semantics, and a set of (approximately) discrete features, representing the morphosyntactic role of the word in a given sentence. Each word representation during decoding is reformulated based on the shared latent morphological features, aiding in learning more reliable representations of words under sparse settings by generalizing across their different surface forms. We evaluate our method in translating English into three morphologically-rich languages each with a distinct morphological typology: Arabic, Czech and Turkish, and show that our model is able to obtain better translation accuracy and generalization capacity than conventional approaches to open-vocabulary NMT.
We evaluate our method in translating English into three morphologically-rich languages each with a distinct morphological typology: Arabic, Czech and Turkish, and show that our model is able to obtain better translation accuracy and generalization capacity than conventional approaches to open-vocabulary NMT.
Answer: The answers are shown as follows:
* Arabic, Czech and Turkish
Question: What type of documents are supported by the annotation platform?
Evidence: All the capabilities described in this paper come together in an end-to-end cloud-based platform that we have built. The platform has two main features: First, it provides an annotation interface that allows users to define content elements, upload documents, and annotate documents; a screenshot is shown in Figure FIGREF12. We have invested substantial effort in making the interface as easy to use as possible; for example, annotating content elements is as easy as selecting text from the document. Our platform is able to ingest documents in a variety of formats, including PDFs and Microsoft Word, and converts these formats into plain text before presenting them to the annotators.
First, it provides an annotation interface that allows users to define content elements, upload documents, and annotate documents
Our platform is able to ingest documents in a variety of formats, including PDFs and Microsoft Word, and converts these formats into plain text before presenting them to the annotators.
Answer: Variety of formats supported (PDF, Word...), user can define content elements of document
Question: Given these paragraphs about Hydrogen Storage, what have been the two main historical forms of storage?
Evidence: Several methods exist for storing hydrogen. These include mechanical approaches such as using high pressures and low temperatures, or employing chemical compounds that release H2 upon demand. While large amounts of hydrogen are produced by various industries, it is mostly consumed at the site of production, notably for the synthesis of ammonia. For many years hydrogen has been stored as compressed gas or cryogenic liquid, and transported as such in cylinders, tubes, and cryogenic tanks for use in industry or as propellant in space programs. Interest in using hydrogen for on-board storage of energy in zero-emissions vehicles is motivating the development of new methods of storage, more adapted to this new application. The overarching challenge is the very low boiling point of H2: it boils around 20.268 K (−252.882 °C or −423.188 °F). Achieving such low temperatures requires expending significant energy.

https://en.wikipedia.org/wiki/Hydrogen_storage
Answer: For many years hydrogen has been stored as compressed gas or cryogenic liquid.
Question: What can be done to resolve issues with climate change
Answer: Climate change is dangerous as it alters the climate very rapidly leading to shift in seasons and damaging the habitats of wild life for example. Some ways to control it could be: 
1. Reduce air pollution - move towards electric vehicles. Also move towards renewable source of energy so that increased demand can be met.
2. Control ozone depletion - Ban use of chemicals that encourage ozone hole depletion as this leads to melting of polar ice caps.
3. Plant more trees - They help in regulating the environment.
Question: How do I open a bank account?
Answer: A bank account is used to deposit and withdraw money, making it easier to pay bills and manage money. Many banks require identification such as a drivers license or passport in order to open a bank account. Banks typically require a minimum amount of money, such as $100, when opening an account. An account may be opened online, or in-person. Once you apply for an account, you can get verified within minutes, and the account is ready for business within a few days.
Question: List the ten episode titles from the first season of "Game of Thrones" in broadcast order.
Answer: Winter is Coming, The Kingsroad, Lord Snow, Cripples, Bastards, and Broken Things, The Wolf and the Lion, A Golden Crown, You Win or Die, The Pointy End, Baelor, Fire and Blood
Question: Which of these is bigger than a breadbox?

Dog, cat, mouse, hydrogen atom, tree, spider, Jupiter, credit card, baseball, basketball, bus, the statue of liberty, a meteorite, an asteroid, Elvis
Answer: Typically, the following are bigger than a breadbox: dog, cat, tree, Jupiter, basketball, bus, the Statue of Liberty, an asteroid and Elvis. The rest of the items in the list would normally be smaller than a breadbox.
Question: What are the three best rapid transit systems in California and why?
Answer: 1. The Bay Area Rapid Transit or "BART" because it has many different lines and connects most of the San Francisco Bay Area.
2. MUNI because it has a wonderful combination of some light rail lines, vintage vehicles and lots of bus lines.
3. LA Metro because it connects so many different places in the huge LA metropolitan area where automobile congestion can be bad.
Question: Give me a list of the top ten tv shows, according to IMDb ratings.
Answer: 1. Planet Earth II (2016), 9.4 points
2. Breaking Bad (2008), 9.4 points
3. Planet Earth (2006), 9.4 points
4. Band of Brothers (2001), 9.4 points
5. Chernobyl (2019), 9.3 points
6. The Wire (2002), 9.3 points
7. Avatar: The Last Airbender (2005), 9.2 points
8. Blue Planet II (2017), 9.2 points
9. The Sopranos (1999), 9.2 points
10. Cosmos (2014), 9.2 points
Question: What is the best TV series for Kids?
Answer: I loved to see Small Wonder.
Question: Give me a list of the top ten movies, according to IMDb ratings.
Answer: 1. The Shawshank Redemption (1994), 9.2 points
2. The Godfather (1972) 9.2 points
3. The Dark Knight (2008), 9.0 points
4. The Godfather Part II (1974), 9.0 points
5. 12 Angry Men (1957), 9.0 points
6. Schindler's List (1993), 8.9 points
7. The Lord of the Rings: The Return of the King (2003), 8.9 points
8. Pulp Fiction (1994), 8.8 points
9. The Lord of the Rings: The Fellowship of the Ring (2001), 8.8 points
10. The Good, the Bad and the Ugly (1966), 8.8 points