DataHammer/scimrc huggingface dataset:
Question: Why did TSMC choose Arizona for its chip manufacturing
Evidence: On the face of it, Arizona, a state known for its Grand Canyon and barren deserts, might seem an odd choice for an industry that demands huge amounts of water. But water, it turns out, is one of the least concerns. Semiconductor manufacturing needs a big ecosystem to get the best cost position. Semiconductor manufacturing need to have not just one company or one fab, but a big cluster of 10 to 15 of these things, to be able to get that world class performance and to be able to build a big enough ecosystem around you.This includes everything from equipment suppliers, which are needed to update and perform maintenance on chipmaking machines, to companies providing chemicals and other materials needed in making chips.Arizona has such a complete semiconductor supply chain already is thanks in no small part to Intel. Back in 1980, Intel started manufacturing microcontroller chips at its facility in Chandler, Arizona which is now Intel's largest manufacturing site in the world. In addition to Intel, leading semiconductor makers including NXP, ON Semiconductor, Qualcomm, Microchip, Broadcom and Benchmark Electronics have also built facilities in the state. Apart from its cluster of semiconductor companies, geopolitics have also worked in Arizona's favor. Arizona was also a more politically savvy state for fresh investment than strongly Democratic Washington. Arizona Gov. Doug Ducey, a Republican, was a close ally of Trump throughout both of his presidential campaigns
Answer: TSMC chose Arizona for its chip making facility because Arizona already has an ecosystem of  equipment suppliers, fabrication units. Having an ecosystem makes it cost effective. Also Arizona is home to other chip companies like Intel, NXP, ON semiconductor, Qualcomm, Microchip, Broadcom and Benchmark Electronics. Also geopolitics then worked in favor of Arizona state. Arizona is a Republican state then and under Trump presidency would have given more incentives for the chip makers establishment.
Question: What do you think about the existence of alien lifeform?
Answer: Despite there is no direct evidence to support the existence of aliens, we human beings still put effort into finding them. Given the human nature I can see 3 outcomes. One is we eventually find one. Another is we continue searching until the end of humanity.Last one is we somehow prove we are the only life form in the universe. Yet either result is the final step. What would we do if we did find aliens? What would we do if we exhausted all methods yet still no results? What if there are things just not perceivable to human beings? I guess what matters is not the final result, but the progress and efforts we put into it. Given the universe is so huge, what else would you wanna search for?
Question: 5 Steps showcasing Yubi Key
Answer: Multi-protocol security key secures modern and legacy systems
The YubiKey supports one-time passcodes (OTP)
The YubiKey enables smart card authentication
Enable modern authentication with FIDO U2F
Experience passwordless authentication with FIDO2
Question: Classify each of the following as either round or square shaped: a planet, a a ball, a slice of bread, a chess board.
Answer: Planets are round.
Balls are round.
A slice of bread is square shaped.
A chess board is square shaped.
Question: Give me five ways in which I can make my homebrew beer more interesting
Answer: There are infinite ways to create interesting flavours, that are either personal favourites or attempt to replicate classic beers and beer styles. There are a number of factors that make up a beers flavour profile and part of the enjoyment brewing your own beer at home, is that you can play around with each of these to change the flavour and character of your homebrew beer. Here are five ways in which you can change your own homebrew recipe to add interesting flavours or alternatively you can alter an existing homebrew recipe shared by somebody else or a brewery.

1. Use different hops
There is a huge variety of hops available to homebrewers and each of these can introduce its own particular flavour and aroma to your beer, ranging from pineapple and apricots, to pine trees and woods, to grapefruit pith and lemon zest. By using a different hop in your recipe either from the same family or from an entirely different family of hops, you can easily add interesting and often radical changes to the flavour profile of your beer. However, depending on when the hops are added in the brewing process, you can also increase/decrease the levels of bitterness of your beer, due to different hop varieties having different levels of alpha acids.

2. Use a different yeast
Besides fermenting the beer, yeast leave behind lots of interesting flavours and can give your homebrew it's own subtle character. For example, English yeast strains can add malty and sweet flavours, California yeast tends to create a clean and crisp beer, whilst saison yeast adds bright and fruity flavours to your beer.

3. Use different grains
Changing the amount of base malts can increase or decrease the alcohol in your finished beer. Trying swapping one base malt for another, like American pale malts for a British variety, and look for the subtle differences between them. You can also play around with the specialty grains, like using a slightly darker roast.

4. Add fruit, spices or herbs
Fruits, spices, herbs, and other ingredients are a great way to add an entirely personal character to your homebrew. Anything from fresh strawberries and basil to vanilla beans and cardamom can really complement the other malty, hoppy flavours in a beer. 

5. Alter your water profile
Different beer styles will typically be best achieved with a suitable water profile, with different levels of minerals to achieve the desired flavour profile. By adjusting the amounts of specific minerals found in your brewing water, beer can be made to taste fuller bodied, sweeter, drier, more bitter, or even sour.
Question: What are the words of House Hightower?
Answer: "We Light the Way"
Question: What is the correlation between interest rates and bond prices?
Answer: As interest rates rise, bond prices fall. This is because new bonds are selling at more attractive rates.
Question: Are the documents fully annotated？
Evidence: The corpus consists of 53 documents, which contain an average number of 156.1 sentences per document, each with 19.55 tokens on average. The corpus comprises 8,275 sentences and 167,739 words in total. However, as mentioned above, only case presentation sections, headings and abstracts are annotated. The numbers of annotated entities are summarized in Table TABREF24.
Findings are the most frequently annotated type of entity. This makes sense given that findings paint a clinical picture of the patient's condition. The number of tokens per entity ranges from one token for all types to 5 tokens for cases (average length 3.1), nine tokens for conditions (average length 2.0), 16 tokens for factors (average length 2.5), 25 tokens for findings (average length 2.6) and 18 tokens for modifiers (average length 1.4) (cf. Table TABREF24). Examples of rather long entities are given in Table TABREF25.
Entities can appear in a discontinuous way. We model this as a relation between two spans which we call “discontinuous” (cf. Figure FIGREF26). Especially findings often appear as discontinuous entities, we found 543 discontinuous finding relations. The numbers for conditions and factors are lower with seven and two, respectively. Entities can also be nested within one another. This happens either when the span of one annotation is completely embedded in the span of another annotation (fully-nested; cf. Figure FIGREF12), or when there is a partial overlapping between the spans of two different entities (partially-nested; cf. Figure FIGREF12). There is a high number of inter-sentential relations in the corpus (cf. Table TABREF27). This can be explained by the fact that the case entity occurs early in each document; furthermore, it is related to finding and factor annotations that are distributed across different sentences.
The most frequently annotated relation in our corpus is the has-relation between a case entity and the findings related to that case. This correlates with the high number of finding entities. The relations contained in our corpus are summarized in Table TABREF27.
However, as mentioned above, only case presentation sections, headings and abstracts are annotated.
Answer: No, only case presentation sections, headings and abstracts are annotated.
Question: How many system replies did the authors collect?
Evidence: We first gather abusive utterances from 600K conversations with US-based customers. We search for relevant utterances by simple keyword spotting and find that about 5% of the corpus includes abuse, with mostly sexually explicit utterances. Previous research reports even higher levels of abuse between 11% BIBREF2 and 30% BIBREF6. Since we are not allowed to directly quote from our corpus in order to protect customer rights, we summarise the data to a total of 109 “prototypical" utterances - substantially extending the previous dataset of 35 utterances from Amanda:EthicsNLP2018 - and categorise these utterances based on the Linguistic Society's definition of sexual harassment BIBREF7:
[noitemsep]
Gender and Sexuality, e.g. “Are you gay?”, “How do you have sex?”
Sexualised Comments, e.g. “I love watching porn.”, “I'm horny.”
Sexualised Insults, e.g. “Stupid bitch.”, “Whore”
Sexual Requests and Demands, e.g. “Will you have sex with me?”, “Talk dirty to me.”
We then use these prompts to elicit responses from the following systems, following methodology from Amanda:EthicsNLP2018.
[leftmargin=5mm, noitemsep]
4 Commercial: Amazon Alexa, Apple Siri, Google Home, Microsoft's Cortana.
4 Non-commercial rule-based: E.L.I.Z.A. BIBREF8, Parry BIBREF9, A.L.I.C.E. BIBREF10, Alley BIBREF11.
4 Data-driven approaches:
Cleverbot BIBREF12;
NeuralConvo BIBREF13, a re-implementation of BIBREF14;
an implementation of BIBREF15's Information Retrieval approach;
a vanilla Seq2Seq model trained on clean Reddit data BIBREF1.
Negative Baselines: We also compile responses by adult chatbots: Sophia69 BIBREF16, Laurel Sweet BIBREF17, Captain Howdy BIBREF18, Annabelle Lee BIBREF19, Dr Love BIBREF20.
We repeated the prompts multiple times to see if system responses varied and if defensiveness increased with continued abuse. If this was the case, we included all responses in the study. Following this methodology, we collected a total of 2441 system replies in July-August 2018 - 3.5 times more data than Amanda:EthicsNLP2018 - which 2 expert annotators manually annotated according to the categories in Table TABREF14 ($\kappa =0.66$).
Following this methodology, we collected a total of 2441 system replies in July-August 2018 - 3.5 times more data than Cercas Curry and Rieser (2018) - which 2 expert annotators manually annotated according to the categories in Table 1 (κ = 0.66).
Answer: 2441.
Question: What are the causal mapping methods employed?
Evidence: Axelrod's causal mapping method comprises a set of conventions to graphically represent networks of causes and effects (the nodes in a network) as well as the qualitative aspects of this relation (the network’s directed edges, notably assertions of whether the causal linkage is positive or negative). These causes and effects are to be extracted from relevant sources by means of a series of heuristics and an encoding scheme (it should be noted that for this task Axelrod had human readers in mind). The graphs resulting from these efforts provide a structural overview of the relations among causal assertions (and thus beliefs):
Axelrod's causal mapping method comprises a set of conventions to graphically represent networks of causes and effects (the nodes in a network) as well as the qualitative aspects of this relation (the network’s directed edges, notably assertions of whether the causal linkage is positive or negative).
Answer: The answers are shown as follows:
* Axelrod's causal mapping method
Question: Based on the passage provided, who is allowed to drive the beach strand route that connects Bald Head Island and Fort Fisher?
Evidence: Bald Head Island, historically Smith Island, is a village located on the east side of the Cape Fear River in Brunswick County, North Carolina, United States. Compared to the nearby city of Wilmington to the north, the village of Bald Head Island is small and somewhat remote. It is accessible by ferry from the nearby town of Southport and by four-wheel drive vehicle along the beach strand from Fort Fisher to the north. Only government officials are allowed to drive the beach strand route. There are few cars on the island; instead, residents drive modified electric golf carts. Bald Head Island is nationally recognized for its sea turtle nesting activity.

The population of the village was 158 at the 2010 census. The village is part of the Wilmington metropolitan area.

The village is revered for its picturesque nature and is a popular location for vacationing. It was the primary filming location for the film Weekend at Bernie's in 1989 as well as a major location in The Butcher's Wife in 1991. "Old Baldy", its out-of-service lighthouse built in 1817, is the oldest still standing in the state.
Answer: Only government officials are allowed to drive the beach strand route that connects Fort Fisher and Bald Head Island.
Question: What is Swift?
Answer: Swift is a powerful and intuitive programming language for iOS, iPadOS, macOS, tvOS, and watchOS.
Question: How many months have 28 days?
Answer: All of them! But February is the only month to end on the 28th day (except for leap years every four years, when it ends on the 29th day).
Question: What causes a recession?
Answer: A recession is caused when a chain of events, like a line of dominoes, picks up momentum and does not stop until the economy shrinks. Each event is connected to something that happened before and something that will happen in the future. If the price of a hamburger goes up, you might stop buying hamburgers. This would impact a restaurant, and that would impact a server. There are many interconnected chains like this throughout the economy.
Question: What is the best way to handle depression
Answer: Anti-depressants and drugs can be used to manage depression but there are also other more natural ways to help manage it too.  Another way to help with depression is by simple exercise because exercise releases endorphins and other feel good hormones that help with the down feeling that comes with depression.  It is always best to consult with a doctor to evaluate if exercise would be a good way to help you manage it too because it some cases it may not be a prescribed regime.
Question: Tell me whether each of these countries is an island or not: Iceland, New Zealand, Chad, Nepal, Cuba, Madagascar
Answer: Iceland: Island
New Zealand: Island
Chad: Not an Island
Nepal: Not an Island
Cuba: Island
Madagascar: Island
Question: What was the united Arab republic?
Evidence: In 1958, Egypt and Syria formed a sovereign union known as the United Arab Republic. The union was short-lived, ending in 1961 when Syria seceded, thus ending the union. During most of its existence, the United Arab Republic was also in a loose confederation with North Yemen (or the Mutawakkilite Kingdom of Yemen), known as the United Arab States. In 1959, the All-Palestine Government of the Gaza Strip, an Egyptian client state, was absorbed into the United Arab Republic under the pretext of Arab union, and was never restored. The Arab Socialist Union, a new nasserist state-party was founded in 1962.
Answer: The United Arab Republic was formed in 1958 as a sovereign union by Egypt and Syria. Later in 1959 Gaza was part of the republic but it only lasted till 1961 when Syria seceded.
Question: Who opens episodes of The FBI Files with an introductory narration?
Answer: James Kallstrom, former head of the FBI New York office.
Question: How many colours does a rainbow have?
Answer: A rainbow typically comprises 7 colors - red, orange, yellow, green, blue, indigo and violet, which can be remembered using acronyms like "ROY G BIV" or simple sentences like "Richard Of York Gave Battle In Vain", where the starting letter of each word corresponds to the starting letter of the colors of the rainbow, in order.
Question: What is Rio de Janeiro famous for?
Evidence: Rio de Janeiro is one of the most visited cities in the Southern Hemisphere and is known for its natural settings, carnival, samba, bossa nova, and balneario beaches such as Barra da Tijuca, Copacabana, Ipanema, and Leblon. In addition to the beaches, some of the most famous landmarks include the giant statue of Christ the Redeemer atop Corcovado mountain, named one of the New Seven Wonders of the World; Sugarloaf Mountain with its cable car; the Sambódromo (Sambadrome), a permanent grandstand-lined parade avenue which is used during Carnival; and Maracanã Stadium, one of the world's largest football stadiums. Rio de Janeiro was the host of the 2016 Summer Olympics and the 2016 Summer Paralympics, making the city the first South American and Portuguese-speaking city to ever host the events, and the third time the Olympics were held in a Southern Hemisphere city. The Maracanã Stadium held the finals of the 1950 and 2014 FIFA World Cups, the 2013 FIFA Confederations Cup, and the XV Pan American Games.
Answer: Rio de Janeiro is famous for its beaches, rainforest, samba, football stadium (Maracana), carnival and bossa nova music.
Question: Does Indermaur work as CTO, CEO, or CFO?
Evidence: Indermaur works as a marketing specialist for her husband's technical trading company and is the chief executive officer of Comate, a marketing agency.
Answer: CEO
Question: Is Linux Unix?
Answer: Officially an operating system is not allowed to be called a Unix until it passes the Open Group's certification tests, and supports the necessary API's. Nobody has yet stepped forward to pay the large fees that certification involves, so we're not allowed to call it Unix. Certification really doesn't mean very much anyway. Very few of the commercial operating systems have passed the Open Group tests.

Unofficially, Linux is very similar to the operating systems which are known as Unix, and for many purposes they are equivalent. Linux the kernel is an operating system kernel that behaves and performs similarly to the famous Unix operating system from AT&T Bell Labs. Linux is often called a "Unix-like" operating system. For more information, see http://www.unix-systems.org/what_is_unix.html.
Question: Which OpenIE systems were used?
Evidence: We evaluate two OIE systems (i.e. extractors). The first, OpenIE 4 BIBREF5 , descends from two popular OIE systems OLLIE BIBREF10 and Reverb BIBREF10 . We view this as a baseline system. The second was MinIE BIBREF7 , which is reported as performing better than OLLIE, ClauseIE BIBREF9 and Stanford OIE BIBREF9 . MinIE focuses on the notion of minimization - producing compact extractions from sentences. In our experience using OIE on scientific text, we have found that these systems often produce overly specific extractions that do not provide the redundancy useful for downstream tasks. Hence, we thought this was a useful package to explore.
he first, OpenIE 4 BIBREF5 , descends from two popular OIE systems OLLIE BIBREF10 and Reverb BIBREF10 .
The second was MinIE BIBREF7 , which is reported as performing better than OLLIE, ClauseIE BIBREF9 and Stanford OIE BIBREF9 .
Answer: OpenIE4 and MiniIE
Question: What is used to simulate a diverse setting?
Evidence: To simulate a diverse multi-domain setting we use the dataset proposed in BIBREF8, as it was recently adopted for domain adaptation research in NMT BIBREF28, BIBREF29, BIBREF30, BIBREF31. The dataset includes parallel text in German and English from five diverse domains (Medical, Law, Koran, IT, Subtitles; as discussed in Section SECREF2), available via OPUS BIBREF32, BIBREF33.
In a preliminary analysis of the data we found that in both the original train/dev/test split by BIBREF8 and in the more recent split by BIBREF29 there was overlap between the training data and the dev/test data. Fixing these issues is important, as it may affect the conclusions one draws from experiments with this dataset. For example, as overlapping development sets favor memorization of the training set, one may choose checkpoints and report results on over-fitting models. This is especially relevant with neural sequence-to-sequence models, as they are highly susceptible to memorization BIBREF34 and hallucination BIBREF35, as confirmed by BIBREF29.
To create a better experimental setting to test generalization within and across domains, we create a new data split where we ensure that no such overlap between the training, development and test sets occur. We started from the split of BIBREF29 as it included newer versions of some of the datasets. Furthermore, we did not allow more than one translation of a given source or target sentence, as such cases were very frequent in the dataset and usually stand for duplicate sentence pairs (See Table TABREF24). For example, applying this filtering reduced the size of the Koran corpus from 533,128 sentence pairs to only 17,982. Finally, following BIBREF29 we cap the subtitles corpus to 500,000 sentence pairs as it is much larger than the rest. We make the new split publicly available and hope it will enable better future experimentation on this important subject.
To simulate a diverse multi-domain setting we use the dataset proposed in Koehn and Knowles (2017),as it was recently adopted for domain adaptation research in NMT.
Answer: They use the dataset proposed in Koehn and Knowles.
Question: How do you make an iced matcha latter?
Answer: You will need 1-2 teaspoons of matcha powder, milk of your choice, 1 cup of hot water, and ice. In a cup or bowl, you will add your match powder and pour your hot water into it and use a whisk until the matcha powder is well incorporated, which should create a paste like consistency. Then you will take a glass and pour in your ice and milk and your matcha paste on top and stir.