DataHammer/scimrc huggingface dataset:
Question: Name the nation that was hit badly by Typhoon Hagibis in the last 60 years?
Answer: Japan was hit badly by Typhoon Hagibis in the last 60 years
Question: Classify each of the following as an "Indoor Activity" or an "Outdoor Activity": Hiking, Watching TV, Cooking, Surfing, Gardening
Answer: Hiking: Outdoor Activity
Watching TV: Indoor Activity
Cooking: Indoor Activity
Surfing: Outdoor Activity
Gardening: Outdoor Activity
Question: What is the best way to travel from Philadelphia to Raleigh?
Answer: The quickest way to travel from Philadelphia, PA to Raleigh, NC is by airplane, which is an average travel time of 1h and 25m. However, this option can be costly and, as a result, many people prefer to drive. Driving from Philadelphia to Raleigh is an average travel time of 6h and 43m.
Question: Why does treasury bond price drop when bond yield increases?
Answer: First, let's see the definition of a bond's price and yield. A bond's price is what investors are willing to pay for an existing bond. A bond's yield is the return to an investor from the bond's interest, or coupon, payments. The typical treasury bond has a fixed yield for X years (X = 5, 10, etc) from the time it is purchased. When we say bond yield increases, it is referring to the newly issued bond will have a higher yield than previously issued bond. Because those new bonds provide higher yield, the existing bonds will need to drop its price otherwise people won't buy them, they would just buy the newly issued bonds.
Question: What is the research background of this paper?
Evidence: NLP approaches for information extraction within the biomedical research areas range from rule-based systems BIBREF3 , to domain-specific systems using feature-based classification BIBREF1 , to the recent deep networks for end-to-end feature extraction and classification BIBREF0 . NLP has had varied degree of success with free-text pathology reports BIBREF4 . Various studies have acknowledge the success of NLP in interpreting pathology reports, especially for classification tasks or extracting a single attribute from a report BIBREF4 , BIBREF5 .
The Cancer Text Information Extraction System (caTIES) BIBREF6 is a framework developed in a caBIG project focuses on information extraction from pathology reports. Specifically, caTIES extracts information from surgical pathology reports (SPR) with good precision as well as recall.
Another system known as Open Registry BIBREF7 is capable of filtering the reports with disease codes containing cancer. In BIBREF8 , an approach called Automated Retrieval Console (ARC) is proposed which uses machine learning models to predict the degree of association of a given pathology or radiology with the cancer. The performance ranges from an F-measure of 0.75 for lung cancer to 0.94 for colorectal cancer. However, ARC uses domain-specific rules which hiders with the generalization of the approach to variety of pathology reports.
This research work is inspired by themes emerging in many of the above studies. Specifically, we are evaluating the task of predicting the primary diagnosis from the pathology report. Unlike previous approaches, the system does not rely on custom rule-based knowledge, domain specific features, balanced dataset with fewer number of classes.
NLP approaches for information extraction within the biomedical research areas range from rule-based systems, to domain-specific systems using feature-based classification, to the recent deep networks for end-to-end feature extraction and classification. NLP has had varied degree of success with free-text pathology reports. Various studies have acknowledge the success of NLP in interpreting pathology reports, especially for classification tasks or extracting a single attribute from a report.
Answer: NLP has had varied degree of success with free-text pathology reports. Various studies have acknowledge the success of NLP in interpreting pathology reports, especially for classification tasks or extracting a single attribute from a report.
Question: What are the advantages and disadvantages of allowing people to perform delivery tasks by walking instead of requiring the use of a bike or car? When do you think it is more pragmatic for deliveries to be fulfilled by walking versus biking or driving?
Answer: There are both advantages and disadvantages to allowing delivery tasks to be completed by walking instead of biking or driving. The following is a list of advantages and disadvantages:

Advantages:
- Additional supply of individuals capable of performing deliveries (i.e., people without a bike or car)
- Potential for shorter delivery times in densely populated metropolitan areas
- Positive impact on the environment and sustainability
- Stronger contribution margins for shorter deliveries

Disadvantages:
- Weather can heavily impact if items are delivered or not as well as the quality of items when delivered (e.g., wet paper towels)
- Limitations on the number and weight of items being delivered
- Less deliveries can be performed together (i.e., batching of deliveries)
- Distance items can be delivered is substantially shorter

Overall, permitting deliveries to be fulfilled by walking likely provides incremental benefits in certain situations, especially in densely populated urban centers. However, it is not feasible to deliver items by walking in suburban or rural areas given the distance that needs to be covered to successfully deliver items.
Question: Is Leonidas from Sparta a real man? What was he famous for?
Answer: Yes, Leonidas from Sparta was a real man. He was famous for his courage and leadership during the Battle of Thermopylae in 480 BC.
Question: GIven this paragraph about American film director David Fincher, what are his reported upcoming projects.
Evidence: In late 2019, Fincher began developing a television prequel to the 1974 film Chinatown with its screenwriter Robert Towne, and he has also expressed interest in eventually making a third season of Mindhunter, which was put on indefinite hold in 2020. In 2023, Fincher confirmed that Netflix will not be making a third season of Mindhunter, saying "I’m very proud of the first two seasons. But it’s a very expensive show and, in the eyes of Netflix, we didn’t attract enough of an audience to justify such an investment [for Season 3]."

In February 2021, it was reported that Fincher will direct an adaptation of the graphic novel The Killer for Netflix, with Andrew Kevin Walker writing the screenplay and Michael Fassbender attached to star.
Answer: David Fincher has begun development on a prequel to the 1974 film Chinatown.  It has also been reported that he will direct an adaptation of the graphic novel The Killer.
Question: What is veganism?
Answer: Veganism is a lifestyle that abstains from using animal products and other commodities derived from animals. The Vegan Society defines veganism as "a philosophy and way of living which seeks to exclude—as far as is possible and practicable—all forms of exploitation of, and cruelty to, animals for food, clothing or any other purpose." This means that vegans may still use animal products for critical purposes, such as required medicine and vaccines. 

Veganism differentiates from the term "plant-based," which typically is used to describe someone who follows a vegan lifestyle only in the form of diet.
Question: It really depends on where you will ride the bicycle, how often you will use it, if the bicycle be used for competing or pleasure and your body type. One more thing to consider will be the budget you want to invest for the bicycle.
Answer: More than just the budget you should also consider the purpose of the bicycle - pleasure or compete and your body size. If you consider it for pleasure my suggestion would be to search online the different models and have a look of them into a shop, try the bicycle and then find the best price.
Question: What data exploration is supported by the analysis of these semantic structures?
Evidence: Task processing: converting data exploration tasks to algebraic operations on the embedding space by following task-specific conversion templates. Some important tasks and their conversion templates are discussed in Section SECREF5.
Query processing: executing semantic query on the embedding space and return results. Note that the algebraic operations on embedding vectors are linear and can be performed in parallel. Therefore, the semantic query is efficient.
Task processing: converting data exploration tasks to algebraic operations on the embedding space by following task-specific conversion templates. Some important tasks and their conversion templates are discussed in Section SECREF5.

Query processing: executing semantic query on the embedding space and return results. Note that the algebraic operations on embedding vectors are linear and can be performed in parallel. Therefore, the semantic query is efficient.
Answer: The answers are shown as follows:
* Task processing: converting data exploration tasks to algebraic operations on the embedding space
* Query processing: executing semantic query on the embedding space and return results
Question: How many demographic attributes they try to predict?
Evidence: Social media data has been used in many domains to find links to the real-world attributes. Data generated on QA platforms, however, has not been used in the past for predicting such attributes. In this paper, we use discussions on Yahoo! Answers QA platform to make predictions of demographic attribute of city neighbourhoods. Previous work in this domain has mainly focused on predicting the deprivation index of areas BIBREF4 . In this work, we look at a wide range of attributes and report prediction results on 62 demographic attributes. Additionally, work in urban prediction uses geolocation-based platforms such as Twitter. QA data that has been utilised in this paper does not include geolocation information. Utilising such data presents its own challenges.
In this work, we look at a wide range of attributes and report prediction results on 62 demographic attributes.
Answer: The answers are shown as follows:
* 62
Question: What are the benefits of ranked voting?
Answer: In elections for political office, ranked voting allows second, third and lower preference choices to be given weight in the event a voter's higher ranked choices do not show the electoral strength necessary to win a given election. In this way, overall social utility is maximized in the sense that the optimal level of voter happiness will be achieved. Ranked voting will give centrist and more moderate candidates and parties a greater chance to succeed in elections, reducing the power of the extreme elements on both sides of the political spectrum. It will encourage more moderate candidates to step forward and more moderate third parties to form. The extreme partisanship currently existing in politics will be mitigated. Donald Trump would likely not have won the Republican presidential nomination in 2016 because, although he had a very committed backing of a large minority of Republican voters, he faced a divided field of more moderate and traditional candidates who split the more rational majority of the party. Trump would likely not have been the second choice for many of the backers of other candidates. A more moderate candidate would likely have emerged as the eventual nominee. Opponents of ranked voting cite possible complexity and greater threat of computerized hacking or errors impacting election results. Entrenched politicians of both major parties oppose ranked voting because they do not want to encourage the formation of centrist third parties that could jeopardize the standing of their parties and their own political careers.
Question: What is the best private Jesuit research university in Boston ?
Evidence: Boston College (BC) is a private Jesuit research university in Chestnut Hill, Massachusetts. Founded in 1863, the university has more than 9,300 full-time undergraduates and nearly 5,000 graduate students. Although Boston College is classified as an R1 research university, it still uses the word "college" in its name to reflect its historical position as a small liberal arts college. Its main campus is a historic district and features some of the earliest examples of collegiate gothic architecture in North America. In accordance with its Jesuit heritage, the university offers a liberal arts curriculum with a distinct emphasis on formative education and service to others.

Undergraduate admission is highly selective. The university offers bachelor's degrees, master's degrees, and doctoral degrees through its eight colleges and schools: Morrissey College of Arts & Sciences, Carroll School of Management, Lynch School of Education and Human Development, Connell School of Nursing, Graduate School of Social Work, Boston College Law School, Boston College School of Theology and Ministry, Woods College of Advancing Studies.

Boston College athletic teams are the Eagles. Their colors are maroon and gold and their mascot is Baldwin the Eagle. The Eagles compete in NCAA Division I as members of the Atlantic Coast Conference in all sports offered by the ACC. The men's and women's ice hockey teams compete in Hockey East. Boston College's men's ice hockey team has won five national championships.

Alumni and affiliates of the university include governors, ambassadors, members of Congress, scholars, writers, medical researchers, Hollywood actors, and professional athletes. Boston College has graduated 3 Rhodes, 22 Truman, and more than 171 Fulbright scholars. Other notable alumni include a U.S. Speaker of the House, a U.S. Secretary of State, and chief executives of Fortune 500 companies.
Answer: Boston College is the best Jesuit private university in Boston.
Question: Who is Sergey or Sergiy Korsunsky
Answer: Sergiy Korsunsky (born August 10, 1962 in Kyiv, Ukrainian SSR) is a Ukrainian diplomat. He previously served as Chargé d'affaires of Ukraine to the United States during 2005 and Ambassador Extraordinary and Plenipotentiary of Ukraine to Turkey (2008-2016). Director of the Hennadii Udovenko Diplomatic Academy of Ukraine in 2017-2020.

Ambassador of Ukraine to Japan (since April 2020).
Question: What are three popular movies with Steve Carell?
Answer: Three popular movies with Steve Carell are:
1. The 40-Year-Old Virgin
2. Crazy Stupid Love
3. The Big Short
Question: Which dynasties rules in Morocco ?
Answer: Here is the list of the several dynasties ruled in Morocco over years : Idrisside, Almoravid, Almohad, Merinide, Wattassides, Saadian and the Alaouite.
Question: What did the authors use to train on a concatenation of SNLI and MNLI in round 1?
Evidence: For the first round, we used a BERT-Large model BIBREF10 trained on a concatenation of SNLI BIBREF1 and MNLI BIBREF22, and selected the best-performing model we could train as the starting point for our dataset collection procedure. For Round 1 contexts, we randomly sampled short multi-sentence passages from Wikipedia (of 250-600 characters) from the manually curated HotpotQA training set BIBREF23. Contexts are either ground-truth contexts from that dataset, or they are Wikipedia passages retrieved using TF-IDF BIBREF24 based on a HotpotQA question.
For the first round, we used a BERT-Large model (Devlin et al., 2018) trained on a concatenation of SNLI (Bowman et al., 2015) and MNLI (Williams et al., 2017), and selected the best-performing model we could train as the starting point for our dataset collection procedure.
Answer: A BERT-Large model.
Question: What is Sleet?
Answer: Sleet occurs when snowflakes only partially melt when they fall through a shallow layer of warm air. These slushy drops refreeze as they next fall through a deep layer of freezing air above the surface, and eventually reach the ground as frozen rain drops that bounce on impact. Depending on the intensity and duration, sleet can accumulate on the ground much like snow.
Question: Can Penguins fly?
Evidence: Penguins (order Sphenisciformes /sfɪˈnɪsəfɔːrmiːz/, family Spheniscidae /sfɪˈnɪsɪdiː, -daɪ/) are a group of aquatic flightless birds. They live almost exclusively in the Southern Hemisphere: only one species, the Galápagos penguin, is found north of the Equator. Highly adapted for life in the water, penguins have countershaded dark and white plumage and flippers for swimming. Most penguins feed on krill, fish, squid and other forms of sea life which they catch with their bills and swallow whole while swimming. A penguin has a spiny tongue and powerful jaws to grip slippery prey.
Answer: Penguins are a group of aquatic flightless birds.
Question: Identify which instrument is string or percussion: Ranat thum, Tumbi
Answer: Tumbi is string, Ranat thum is percussion.
Question: Could you please explain what’s the target node and its difference to the nodes with class?
Evidence: Our method utilizes the target node vtarget from all classes, not only from the identical minor class of vminor. The intention of constructing the target node pool from entire classes is to guarantee sufficient diversity of synthesized ego networks. If the target nodes are restricted to a minor class at highly imbalanced scenarios, identical neighbor nodes would be redundantly duplicated. This issue makes it hard to mitigate the neighbor memorization problem. To demonstrate this hypothesis, we conduct an experiment and compare our design choice (all classes) to select a target from the identical class as the minor node vminor. In the Figure 3, we confirm that exploiting entire classes for the target node achieves superior performances. From this design choice of the target node, our method can utilize the manifold assumption that ‘similar predictions of neural networks indicate the close proximity in the manifold’, which are commonly utilized in semi-supervised learning (Van Engelen & Hoos, 2020). We aim to enlarge and smooth the decision boundary of the minor class by interpolating the minor nodes and the target node of the entire classes (but excluding target-specific attributes using saliency) as investigated in Verma et al. (2019). Moreover, our method considers the prediction of the ego network (not a single node) to reflect the structural aspects of graph.
Answer: We first apologize for the ambiguous notations. We will keep your comments in mind and carefully revise the notations of node types in alternative ways for better presentation in our final revision.
Meanwhile, we here reiterate our notations below for you: The key concept of our method is to generate an ego network for the minor class using two nodes: vminor and vtarget. Node features of these two nodes are mixed to determine a central node of the ego network via convex combination. vminor is the node sampled from the minor class to be augmented (oversampled). That is, the central node of a synthesized ego network acquires an identical label of vminor. On the other hand, there is no restriction for vtarget: vtarget is sampled from the entire class and exploited to synthesize the ego network of generated/augmented node. Thus, the target node vtarget does not have to be a minor node. Detailed justification of this strategy for target node selection is discussed in Section 5.2 and our answers to Q2 below.
Question: What techniques are used to male dried fruit?
Evidence: Dried fruit is fruit from which the majority of the original water content has been removed either naturally, through sun drying, or through the use of specialized dryers or dehydrators. Dried fruit has a long tradition of use dating back to the fourth millennium BC in Mesopotamia, and is prized because of its sweet taste, nutritive value and long shelf life.
Today, dried fruit consumption is widespread. Nearly half of the dried fruits sold are raisins, followed by dates, prunes, figs, apricots, peaches, apples, and pears. These are referred to as "conventional" or "traditional" dried fruits: fruits that have been dried in the sun or in heated wind tunnel dryers. Many fruits such as cranberries, blueberries, cherries, strawberries, and mango are infused with a sweetener (e.g. sucrose syrup) prior to drying. Some products sold as dried fruit, like papaya, kiwifruit and pineapple, are most often candied fruit.
Dried fruits retain most of the nutritional value of fresh fruits. The specific nutrient content of the different dried fruits reflects their fresh counterpart and the processing method.
Answer: Dried fruit is fruit from which the majority of the original water content has been removed either naturally, through sun drying, or through the use of specialized dryers or dehydrators.
Question: How many more keys does a standard piano have over a harpsichord?
Answer: 28 keys
Question: Please give me  the potential implications of overfitting described in the following text
Evidence: Consequences

The most obvious consequence of overfitting is poor performance on the validation dataset. Other negative consequences include:

A function that is overfitted is likely to request more information about each item in the validation dataset than does the optimal function; gathering this additional unneeded data can be expensive or error-prone, especially if each individual piece of information must be gathered by human observation and manual data-entry.

A more complex, overfitted function is likely to be less portable than a simple one. At one extreme, a one-variable linear regression is so portable that, if necessary, it could even be done by hand. At the other extreme are models that can be reproduced only by exactly duplicating the original modeler's entire setup, making reuse or scientific reproduction difficult.

It may be possible to reconstruct details of individual training instances from an overfitted machine learning model's training set. This may be undesirable if, for example, the training data includes sensitive personally identifiable information (PII). This phenomenon also presents problems in the area of artificial intelligence and copyright, with the developers of some generative deep learning models such as Stable Diffusion and GitHub Copilot being sued for copyright infringement because these models have been found to be capable of reproducing certain copyrighted items from their training data.
Answer: The potential implications of overfitting are:
- poor performance of the validation set.
- a function that is overfitted is likely to request more information about each item in the validation dataset.
- A overfitted function is likely to be less portable than a simple one.
- it may be possible to reconstruct details of individual training instances from an overfitted machine learning model's  training set.
Question: Classify each of these as a red fruit or an orange fruit: strawberry, cherry, orange, kumquat, tangerine, raspberry
Answer: Red fruit: strawberry, cherry, raspberry
Orange fruit: Orange, kumquat, tangerine
Question: Give me a list of the most recent Men's Indian Cricket Team captains in ODIs
Answer: - Hardik Pandya 
- KL Rahul 
- Shikhar Dhawan
- Rohit Sharma 
- Ajinkya Rahane 
- Virat Kohli 
- Gautam Ganbhir 
- Suresh Raina 
- MS Dhoni
Question: What us foosball?
Answer: Foosball is also known as table football.  Its a table game where two players use rods or sticks that can be pulled and pushed that that control plastic figures that kick a small plastic soccer ball.  This is a great table games that is fun at parties and social events.