DataHammer/scimrc huggingface dataset:
Question: Should we get rid of social media?
Answer: Social media has many benefits, such as keeping up with friends whom you may not call or text regularly or learning about a local garage sale, but there are many downsides too. The downsides outweigh the benefits. If you put them on a scale, the benefits of social media, such as learning about a nearby garage sale, might weigh 5 pounds on the said scale. However, the downsides, such as cyberbullying and the comparison game that constantly happens, especially for young teen girls, the weight of that is very heavy. It is causing self-harm, anxiety, depression, etc. While there are many benefits, they are much less significant than the downsides.
Question: What is the stock market?
Answer: The stock market is the aggregation of buyers and sellers of stocks. Stock markets could include stocks on both public and private exchanges.
Question: Who is Joe Biden?
Evidence: Joseph Robinette Biden Jr. (/ˈbaɪdən/ (listen) BY-dən; born November 20, 1942) is an American politician who is the 46th and current president of the United States. A member of the Democratic Party, he previously served as the 47th vice president from 2009 to 2017 under President Barack Obama and represented Delaware in the United States Senate from 1973 to 2009.
Answer: Joseph Robinette Biden Jr. (/ˈbaɪdən/ (listen) BY-dən; born November 20, 1942) is an American politician who is the 46th and current president of the United States. A member of the Democratic Party, he previously served as the 47th vice president from 2009 to 2017 under President Barack Obama and represented Delaware in the United States Senate from 1973 to 2009.

Born in Scranton, Pennsylvania, Biden moved with his family to Delaware in 1953. He studied at the University of Delaware before earning his law degree from Syracuse University. He was elected to the New Castle County Council in 1970 and became the sixth-youngest senator in U.S. history after he was elected in 1972, at age 29. Biden was the chair or ranking member of the Senate Foreign Relations Committee for 12 years. He chaired the Senate Judiciary Committee from 1987 to 1995; drafted and led the effort to pass the Violent Crime Control and Law Enforcement Act and the Violence Against Women Act; and oversaw six U.S. Supreme Court confirmation hearings, including the contentious hearings for Robert Bork and Clarence Thomas. Biden ran unsuccessfully for the Democratic presidential nomination in 1988 and 2008. Barack Obama chose Biden as his running mate in the 2008 and 2012 presidential elections. Biden was a close counselor to Obama during his two terms as Obama's vice president.

Biden and his running mate, Kamala Harris, defeated incumbents Donald Trump and Mike Pence in the 2020 presidential election. On January 20, 2021, he became the oldest president in U.S. history, the first to have a female vice president, and the first from Delaware. As president, Biden has addressed the COVID-19 pandemic and subsequent recession. He signed the American Rescue Plan Act, the bipartisan Infrastructure Investment and Jobs Act, the Inflation Reduction Act, the CHIPS and Science Act, and the Respect for Marriage Act, which codified protections for same-sex marriage and repealed the Defense of Marriage Act. He appointed Ketanji Brown Jackson to the Supreme Court. In foreign policy, Biden restored America's membership in the Paris Agreement on climate change. He completed the withdrawal of U.S. troops from Afghanistan that had been negotiated and begun under the previous administration, ending the war in Afghanistan, during which the Afghan government collapsed and the Taliban seized control. He signed AUKUS, a security pact, together with Australia and the United Kingdom. He responded to the Russian invasion of Ukraine by imposing sanctions on Russia and authorizing foreign aid and weapons shipments to Ukraine.
Question: Extract the club that Corinthians defeated in the 2012 FIFA Club World Cup.
Evidence: On 4 July, after reaching the final of the 2012 Copa Libertadores undefeated, Corinthians won its first title after a two-match final against 6-time champions Boca Juniors by drawing 1–1 in Argentina and winning 2-0 at the Estádio do Pacaembu in São Paulo, becoming the ninth Brazilian side to win the Copa Libertadores. The club won the 2012 FIFA Club World Cup after defeating English club Chelsea 1–0 on 16 December 2012.
Answer: Chelsea
Question: What extra ingredients can you use when baking a bread?
Answer: Raisin is the most popular ingredient you can add to a bread. Some bread maker has predefined program to let you drop in raisin after the dough is knead. Some other popular options include chopped walnut, and cinnamon. In general, you can't go wrong with nuts because they give a nice twist to the flavor.
If you want to be creative or exotic, you can also try cheese or beer, but not everyone likes the strong flavor.
Question: What are some common sauces or toppings for tacos?
Answer: Common toppings and sauces for tacos include guacamole, salsa, queso, sour cream, shredded cheese, hot sauce, cilantro, lime juice, green onion, and jalapeno.
Question: How many provinces are there in the Netherlands
Answer: The Netherlands has 18 provinces.
Question: Does the reimplementation of ClaimBuster perform better than the online platform in terms of MAP?
Evidence: Table TABREF21 shows the performance of our models when using all features described in Section SECREF4: see the SVM$_{All}$ and the FNN$_{All}$ rows. In order to put the numbers in perspective, we also show the results for five increasingly competitive baselines.
First, there is a random baseline, followed by an SVM classifier based on a bag-of-words representation with TF.IDF weights learned on the training data. Then come three versions of the ClaimBuster system: CB-Platform uses scores from the online demo, which we accessed on December 20, 2016, and SVM$_{CBfeat}$ and FNN$_{CBfeat}$ are our re-implementations, trained on our dataset.
We can see that all systems perform well above the random baseline. The three versions of ClaimBuster also outperform the TF.IDF baseline on most measures. Moreover, our reimplementation of ClaimBuster performs better than the online platform in terms of MAP. This is expected as their system is trained on a different dataset and it may suffer from testing on slightly out-of-domain data. At the same time, this is reassuring for our implementation of the features, and allows for a more realistic comparison to the ClaimBuster system.
More importantly, both the SVM and the FNN versions of our system consistently outperform all three versions of ClaimBuster on all measures. This means that the extra information coded in our model, mainly more linguistic, structural, and contextual features, has an important contribution to the overall performance.
We can further see that the neural network model, FNN$_{All}$, clearly outperforms the SVM model: consistently on all measures. As an example, with the precision values achieved by FNN$_{All}$, the system would rank on average 4 positive examples in the list of its top-5 choices, and also 14-15 in the top-20 list. Considering the recall at the first $R$ sentences, we will be able to encounter 43% of the total number of check-worthy sentences. This is quite remarkable given the difficulty of the task.
Moreover, our reimplementation of ClaimBuster performs better than the online platform in terms of MAP.
Answer: Yes, it does.
Question: How do they show their model discovers underlying syntactic structure?
Evidence: In Figure FIGREF32 , we visualize the syntactic distance estimated by the Parsing Network, while reading three different sequences from the PTB test set. We observe that the syntactic distance tends to be higher between the last character of a word and a space, which is a reasonable breakpoint to separate between words. In other words, if the model sees a space, it will attend on all previous step. If the model sees a letter, it will attend no further then the last space step. The model autonomously discovered to avoid inter-word attention connection, and use the hidden states of space (separator) tokens to summarize previous information. This is strong proof that the model can understand the latent structure of data. As a result our model achieve state-of-the-art performance and significantly outperform baseline models. It is worth noting that HM-LSTM BIBREF6 also unsupervisedly induce similar structure from data. But discrete operations in HM-LSTM make their training procedure more complicated then ours.
In Figure FIGREF32 , we visualize the syntactic distance estimated by the Parsing Network, while reading three different sequences from the PTB test set. We observe that the syntactic distance tends to be higher between the last character of a word and a space, which is a reasonable breakpoint to separate between words. 
The model autonomously discovered to avoid inter-word attention connection, and use the hidden states of space (separator) tokens to summarize previous information. This is strong proof that the model can understand the latent structure of data.
Answer: By visualizing syntactic distance estimated by the parsing network
Question: What are the benefits of collaborating on a tech blog with your customers?
Answer: It will improve visibility of the product. It will help with your customers' career. It will benefit other customers with related use cases.
Question: Give an introduction of Fairfax county in Virginia.
Evidence: Fairfax County, officially the County of Fairfax, is a county in the Commonwealth of Virginia. It is part of Northern Virginia and borders both the city of Alexandria and Arlington County and forms part of the suburban ring of Washington, D.C. The county is predominantly suburban in character with some urban and rural pockets.

As of the 2020 census, the population was 1,150,309, making it Virginia's most populous jurisdiction, with around 13% of the Commonwealth's population. The county is also the most populous jurisdiction in the Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Statistical Area, with around 20% of the MSA population, as well as the larger Washington-Baltimore-Arlington, DC-MD-VA-WV-PA Combined Statistical Area, with around 13% of the CSA population. The county seat is Fairfax, although because it is an independent city under Virginia law, the city of Fairfax is not part of Fairfax County.

Fairfax was the first U.S. county to reach a six-figure median household income and has the third-highest median household income of any county-level local jurisdiction in the U.S. Fairfax County, as part of the Washington, D.C. metropolitan area, is usually included atop or near the top of lists of the wealthiest areas in the United States.

The county is home to the headquarters of several intelligence agencies such as the Central Intelligence Agency, National Geospatial-Intelligence Agency, National Reconnaissance Office, National Counterterrorism Center, and Office of the Director of National Intelligence as well as the headquarters of several aerospace manufacturing and defense industry giants. The county is also home to the flagship campus of George Mason University, and headquarters to seven Fortune 500 companies, including three in the Falls Church area, though not in the independent municipality of Falls Church.
Answer: Fairfax county locates in northern Virginia, it is bounded on the north and southeast by the Potomac River.  The county has a populate of 1,164,025 in 2022, with a growth of 13,716 from 2020.  It is also the most populous jurisdiction in the Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Statistical Area

Fairfax has a thriving economy, attractive to business and is headquarters to several Fortune 500 companies.  Fairfax has excellent schools, it's public school system is top-ranked in the nation, and is home to George Mason University.  

Fairfax County is also home to many historic sites and cultural attractions; like Mount Vernon, Wolf Trap national park.
Question: How to get an efficient cardio workout and improve your speed, and gain other health benefits?
Answer: In this day and age when many are busy with work, family, electronic gadgets, social media it becomes increasingly challenging to find the time to exercise.  Staying healthy will allow you to enjoy those distractions longer, but jokes aside it will make you feel energized, motivated and bring out the best in you.  When new discoveries in scenic areas are correctly applied, you don’t need to spend multiple hours at the gym, you don’t have to starve to achieve your goals, this concept was very enticing to me when I first learnt about the Sprint 8 program at my local gym.  I decided to give this a try!

Sprint 8 - Its a 20 minute routine, where you spend the first 30 seconds working out at the highest level of intensity (go all out) followed by 90 seconds of active recovery, repeat this 8 times..  You can use a bike, treadmill, elliptical whichever suits your style.  In all my life of being fairly active, Sprint 8 has the toughest workout, but over a year I could see significant results.  I was able to run faster, lower blood pressure, reduce fat percentage, and improve muscle mass.  The key differentiator about this program is that it engages all the three muscle fiber types and releases exercise induced growth hormones to help your body become stronger, leaner and healthier.

Another advantage is that this program really reduces any change of injury that one may face by running, heavy weight lifting etc therefore allowing you to sustain the exercise program for years to come.  

Give this a try and gain the benefits of efficient exercising.
Question: Is there a correlation between the milestones required between Data AI/ML and Intelligent Automation (RPA) value curve over time?
Answer: For organizations to achieve the most value from their data, they must establish a data foundation that allows for high-quality reporting on past events. Establishing a Databrick’s Lakehouse foundation requires no AI/ML capabilities. Then, over time, use that data AI/ML to drive automated decisions for crucial business processes.  For this reason, there is a direct correlation between the “value curve” for both data and intelligent automation. 
The value maturity curve for intelligent automation starts with basic, attended, or unattended automation that mimics basic human processes today. Then, as you mature your Robotic Process Automation (RPA) program, your automation(s) need to expand to include simple document understanding AI.  Extracting data from the same form hundreds or thousands of times is a good example. Finally, for any organization to gain the highest value and ROI for their intelligent automation investments, using complex AI/ML to produce automated decisions for digital workers (unattended automation) enables exceptionally complex, long-running automation to be successfully developed, put into production, and maintained over time.

In summary, think of “AI/ML” as the thinking and “Intelligent Automation” as the doing. The value of both Data and RPA to any organization grows exponentially over time as they develop their ability to apply to complex AI/ML such that those models deliver trusted automated decisions to the digital workforce running complex automation.
Question: provide the list of the List of American foods that is related to breeds
Evidence: American foods
Breads
Main article: List of American breads
Banana bread
Cornbread
Cuban bread
Frybread
Texas toast
Cheese
Main article: List of American cheeses

Gouda and Swiss are common cheeses in America.
American cheese (technically a processed cheese)
Cheddar cheese
Colby (as well as the blend Colby-Jack)
Cream cheese
Monterey Jack (and used in pepper jack cheese)
Velveeta (brand name of a common processed cheese)
Desserts
Main article: List of American desserts
Banana pudding
Chocolate brownie
Chocolate chip cookies
Fudge
Jell-O
Key lime pie
Peanut butter cookie
Pecan pie
Pumpkin pie
Red velvet cake
S'more
Sundae
Ice cream
Rice dishes

Gumbo is a dish that originated in southern Louisiana during the 18th century.
Calas
Charleston red rice
Chicken bog
Dirty rice
Glorified rice
Gumbo
Hawaiian haystack
Hoppin' John
Jambalaya
Rice and gravy
Red beans and rice
Shrimp creole
Spanish rice
Sandwiches
Main article: List of American sandwiches
BLT
Cheesesteak
Club sandwich
Fluffernutter
Italian beef
Pastrami on rye
Peanut butter and jelly sandwich
Reuben sandwich
Sloppy joe
Sausages

Hot dogs with various toppings
Bologna sausage
Breakfast sausage
Chaudin
Goetta
Half-smoke
Hot link (sausage)
Italian hot dog
Lebanon bologna
Maxwell Street Polish
Polish Boy
Chorizo
Miscellaneous
Buffalo Wings
Roasted turkey
Fried Chicken
Answer: Banana bread
Cornbread
Cuban bread
Frybread
Texas toast
Cheese
Question: Who are the last 7 soccer fifa men's world cup winners?
Answer: The last 7 men's world cup winners are 
- Argentina 
- France 
- Germany
- Spain
- Italy
- Brazil
- France
Question: List down last 7 fifa women's world cup winners
Answer: - USA 
- USA 
- Japan 
- Germany 
- Germany 
- USA 
- Norway
Question: Which dataset(s) do they use to train the model?
Evidence: To evaluate the effectiveness of the proposed framework for the ATE task, we conduct experiments over four benchmark datasets from the SemEval ABSA challenge BIBREF1 , BIBREF18 , BIBREF12 . Table TABREF24 shows their statistics. INLINEFORM0 (SemEval 2014) contains reviews of the laptop domain and those of INLINEFORM1 (SemEval 2014), INLINEFORM2 (SemEval 2015) and INLINEFORM3 (SemEval 2016) are for the restaurant domain. In these datasets, aspect terms have been labeled by the task organizer.
To evaluate the effectiveness of the proposed framework for the ATE task, we conduct experiments over four benchmark datasets from the SemEval ABSA challenge BIBREF1 , BIBREF18 , BIBREF12 . Table TABREF24 shows their statistics. INLINEFORM0 (SemEval 2014) contains reviews of the laptop domain and those of INLINEFORM1 (SemEval 2014), INLINEFORM2 (SemEval 2015) and INLINEFORM3 (SemEval 2016) are for the restaurant domain. In these datasets, aspect terms have been labeled by the task organizer.
Answer: The answers are shown as follows:
* INLINEFORM0 (SemEval 2014) contains reviews of the laptop domain and those of INLINEFORM1 (SemEval 2014), INLINEFORM2 (SemEval 2015) and INLINEFORM3 (SemEval 2016) are for the restaurant domain.
Question: Provide a bulleted summary of the history of Twitter
Evidence: Twitter is an online social media and social networking service owned and operated by American company Twitter, Inc., on which users post or reply to texts, images and videos known as "tweets". Registered users can tweet, like, "retweet" tweets and direct message (DM), while unregistered users only have the ability to view public tweets. Users interact with Twitter through browser or mobile frontend software, or programmatically via its APIs.

Twitter was created by Jack Dorsey, Noah Glass, Biz Stone, and Evan Williams in March 2006 and launched in July of that year. Twitter, Inc. is based in San Francisco, California and has more than 25 offices around the world. By 2012, more than 100 million users tweeted 340 million tweets a day, and the service handled an average of 1.6 billion search queries per day. In 2013, it was one of the ten most-visited websites and has been described as "the SMS of the Internet". By the start of 2019, Twitter had more than 330 million monthly active users. In practice, the vast majority of tweets are tweeted by a minority of users. In 2020, it was estimated that approximately 48 million accounts (15% of all accounts) were fake.

On October 27, 2022, business magnate Elon Musk acquired Twitter, Inc. for US$44 billion, gaining control of the platform. On December 20, 2022, Musk announced he would step down as CEO once a replacement had been found. As of April 2023, Musk has yet to announce a successor and remains CEO
Answer: - Twitter was created by Jack Dorsey, Noah Glass, Biz Stone, and Evan Williams in March 2006
- Twitter reached more than 100 million users in 2012
- Twitter reached more than 330 million users in 2019
- In 2022, Elon Must acquired Twitter for $44B
Question: what is the size of this built corpus?
Evidence: We asked authors to rank documents by how “close to your work” they were. The definition of closeness was left to the discretion of the author. The dataset is composed of 90 annotated documents with 5 citations each ranked 1 to 5, where 1 is least relevant and 5 is most relevant for a total of 450 annotated citations.
The dataset is composed of 90 annotated documents with 5 citations each ranked 1 to 5, where 1 is least relevant and 5 is most relevant for a total of 450 annotated citations.
Answer: The answers are shown as follows:
* 90 annotated documents with 5 citations each ranked 1 to 5, where 1 is least relevant and 5 is most relevant for a total of 450 annotated citations
Question: How is quality of annotation measured?
Evidence: To control the quality, we ensured that a single annotator annotates maximum 120 headlines (this protects the annotators from reading too many news headlines and from dominating the annotations). Secondly, we let only annotators who geographically reside in the U.S. contribute to the task.
We test the annotators on a set of $1,100$ test questions for the first phase (about 10% of the data) and 500 for the second phase. Annotators were required to pass 95%. The questions were generated based on hand-picked non-ambiguous real headlines through swapping out relevant words from the headline in order to obtain a different annotation, for instance, for “Djokovic happy to carry on cruising”, we would swap “Djokovic” with a different entity, the cue “happy” to a different emotion expression.
To control the quality, we ensured that a single annotator annotates maximum 120 headlines (this protects the annotators from reading too many news headlines and from dominating the annotations). Secondly, we let only annotators who geographically reside in the U.S. contribute to the task.

We test the annotators on a set of $1,100$ test questions for the first phase (about 10% of the data) and 500 for the second phase. Annotators were required to pass 95%.
Answer: Annotators went through various phases to make sure their annotations did not deviate from the mean.
Question: Given this paragraph about Simon Bolivar, tell me when and where they were born, and what they are known for
Evidence: Simón José Antonio de la Santísima Trinidad Bolívar y Palacios (24 July 1783 – 17 December 1830) was a Venezuelan military and political leader who led what are currently the countries of Colombia, Venezuela, Ecuador, Peru, Panama and Bolivia to independence from the Spanish Empire. He is known colloquially as El Libertador, or the Liberator of America. Simón Bolívar was born in Caracas in the Captaincy General of Venezuela into a wealthy family of American-born Spaniards (criollo), but lost both parents as a child. Bolívar was educated abroad and lived in Spain, as was common for men of upper-class families in his day. While living in Madrid from 1800 to 1802, he was introduced to Enlightenment philosophy and married María Teresa Rodríguez del Toro y Alaysa, who died in Venezuela from yellow fever in 1803. From 1803 to 1805, Bolívar embarked on a Grand Tour that ended in Rome, where he swore to end the Spanish rule in the Americas. In 1807, Bolívar returned to Venezuela and proposed gaining Venezuelan independence to other wealthy creoles. When the Spanish authority in the Americas weakened due to Napoleon's Peninsular War, Bolívar became a zealous combatant and politician in the Spanish American wars of independence.
Answer: Simon Bolivar was born in Caracas, Venezuela on 24 July 1783. He is known for leading the wars of independence from the Spanish Empire from what are currently the countries of Colombia, Venezuela, Ecuador, Peru, Panama and Bolivia
Question: What nationality and percentage were forced into internment camps?
Answer: Japanese Americans ethnic group were forced into internment camps. Around 70% of Japanese Americans were impacted by this.