DataHammer/scimrc huggingface dataset:
Question: What to do in Seattle in 48 hours?
Answer: Seattle is a beautiful city in the pacific northwest. If you are a nature lover then you will enjoy your time in Seattle. There are a lot of activities, places to visits, great food to eat around the city but keep in mind that the weather in Seattle might impact how you plan your 48 hours trip. Visiting the space needle and pike place market are usually tourists’ favorite. You are able to visit both places no matter what the weather is. Also don't forget to check out the oldest Starbucks in the world in Pike Place. 
If you’re visiting during the summer or warm spring/fall days you should consider exploring the hiking options around the city and If you like winter sports and visiting between November and March you should explore the skiing resorts and mountains in Snoqualmie, Stevens pass, Crystal mountain and more.
Question: Tell me whether each of these countries is in the northern or southern hemisphere: Italy, South Africa, Australia, New Zealand, Norway, Sweden
Answer: Italy: Northern Hemisphere
South Africa: Southern Hemisphere
Australia: Southern Hemisphere
New Zealand: Southern Hemisphere
Norway: Northern Hemisphere
Sweden: Northern Hemisphere
Question: Give me a list of the best books to read for new real estate investors
Answer: * The Book on Rental Property Investing: How to Create Wealth With Intelligent Buy and Hold Real Estate Investing by Brandon Turner
* The Book on Investing in Real Estate with No (and Low) Money Down: Real Life Strategies for Investing in Real Estate Using Other People's Money by Brandon Turner
* Set for Life: Dominate Life, Money, and the American Dream by Scott Trench
* The Book on Tax Strategies for the Savvy Real Estate Investor: Powerful techniques anyone can use to deduct more, invest smarter, and pay far less to the IRS! by Amanda Han
* Recession-Proof Real Estate Investing: How to Survive (and Thrive!) During Any Phase of the Economic Cycle by J Scott
Question: Where was 52nd International Film Festival of India held ?
Answer: Goa (Nov 20 to Nov 28)
Question: Extract the types of communication methods that domestic cats use.
Evidence: Domestic cats use many vocalizations for communication, including purring, trilling, hissing, growling/snarling, grunting, and several different forms of meowing.
Answer: Domestic cats communicate by purring, trilling, hissing, growling, snarling, grunting, and meowing.
Question: From the passage find parts of plant which can be used as scion. Display the results in comma separated format.
Evidence: Grafting or graftage is a horticultural technique whereby tissues of plants are joined so as to continue their growth together. The upper part of the combined plant is called the scion (/ˈsaɪən/) while the lower part is called the rootstock. The success of this joining requires that the vascular tissues grow together and such joining is called inosculation. The technique is most commonly used in asexual propagation of commercially grown plants for the horticultural and agricultural trades.

In most cases, one plant is selected for its roots and this is called the stock or rootstock. The other plant is selected for its stems, leaves, flowers, or fruits and is called the scion or cion. The scion contains the desired genes to be duplicated in future production by the stock/scion plant.

In stem grafting, a common grafting method, a shoot of a selected, desired plant cultivar is grafted onto the stock of another type. In another common form called bud grafting, a dormant side bud is grafted onto the stem of another stock plant, and when it has inosculated successfully, it is encouraged to grow by pruning off the stem of the stock plant just above the newly grafted bud.

For successful grafting to take place, the vascular cambium tissues of the stock and scion plants must be placed in contact with each other. Both tissues must be kept alive until the graft has "taken", usually a period of a few weeks. Successful grafting only requires that a vascular connection take place between the grafted tissues. Research conducted in Arabidopsis thaliana hypocotyls has shown that the connection of phloem takes place after three days of initial grafting, whereas the connection of xylem can take up to seven days. Joints formed by grafting are not as strong as naturally formed joints, so a physical weak point often still occurs at the graft because only the newly formed tissues inosculate with each other. The existing structural tissue (or wood) of the stock plant does not fuse.
Answer: stems, leaves, flowers, fruits
Question: Who wrote the children's novel Swallows and Amazons
Answer: Arthur Ransom
Question: How many counties are there in the San Francisco/San Jose/Oakland Bay Area?
Evidence: There are nine Bay Area counties
Answer: Alameda
Contra Costa
Marin
San Francisco
San Mateo
Santa Clara
Napa
Solano
Sonoma
Question: What network architecture do they use for SIM?
Evidence: To solve this problem, we need a state tracking model independent of dialogue slots. In other words, the network should depend on the semantic similarity between slots and utterance instead of slot-specific modules. To this end, we propose the Slot-Independent Model (SIM). Our model complexity does not increase when the number of slots in dialogue tasks go up. Thus, SIM has many fewer parameters than existing dialogue state tracking models. To compensate for the exclusion of slot-specific parameters, we incorporate better feature representation of user utterance and dialogue states using syntactic information and convolutional neural networks (CNN). The refined representation, in addition to cross and self-attention mechanisms, make our model achieve even better performance than slot-specific models. For instance, on Wizard-of-Oz (WOZ) 2.0 dataset BIBREF8, the SIM model obtains a joint-accuracy score of 89.5%, 1.4% higher than the previously best model GLAD, with only 22% of the number of parameters. On DSTC2 dataset, SIM achieves comparable performance with previous best models with only 19% of the model size.
 To compensate for the exclusion of slot-specific parameters, we incorporate better feature representation of user utterance and dialogue states using syntactic information and convolutional neural networks (CNN).
Answer: The answers are shown as follows:
* convolutional neural networks (CNN)
Question: With what opera company is the late soprano and master voice teacher Ellen Faull Gordon most associated?
Answer: New York City Opera, the company dubbed "The people opera" by Fiorello La Guardia.
Question: Give me a list of several scenic countries that you should visit.
Answer: Switzerland, Vietnam, Thailand, Morocco, Botswana, New Zealand
Question: What does the Remarkable writing tablet do?
Evidence: Remarkable (styled as reMarkable) is an E Ink writing tablet for reading documents and textbooks, sketching and note-taking that attempts to fully replicate paper writing. Developed by a Norwegian startup company of the same name, the device is geared towards students and academics.

The reMarkable uses electronic paper reading display and tablet computer writing system.
Answer: Using e Ink technology, the Remarkable writing tablet can be used for sketching and note-taking that attempts to fully replicate paper writing as well as to read documents and textbooks.  Remarkable also allows handwritten notes to be converted into text.
Question: Write a short story about a botanist who discovers a part of a forest where plants are communicating with each other.
Answer: Anya was a college student studying botany, and was tasked with identifying a broad range of fungi in a local forest. Since she also enjoyed camping, she decided to go deep into the forest during a long weekend to complete her assignment. 

As she got deeper into the forest, away from civilization, the tree cover became thicker, and therefore the floor of the forest became darker. "Perfect for fungi growth!" she thought. She started seeing more and more fungi, some on the trees, some on rotting logs, and some on the forest floor. Peculiarly, most of the fungi she began to see as she got deeper in the forest were green, which was quite unusual.

She catalogued all the fungi she saw for the next several days. On her way out, she took the same path she came in on, but noticed that the fungi along her path had changed to possess typical colors of fungi, not the green she had seen when she came in. She explored perpendicular to her path, and found a slowly changing range of colors, until she saw the same green she had seen when she came in.

She needed to return to school, but decided to come back the next weekend.

When she arrived back into the fungi's domain, she saw something breathtaking as she explored. Everywhere she had gone, a ripple of colors seemed to have formed. The fungi had reacted to her presence, and sent signals to the other fungi in the area, where the signal had been propagated. Some of the fungi on her original path had even returned to the original green color she had observed upon entering the forest. She also noticed the local fauna completely avoided the areas where the fungi had changed from its original green color. It seemed as though the fungi had developed a warning system for the forest to detect humans!
Question: Are the word embeddings evaluated?
Evidence: Finally, a comparison was made between the Skip-gram model W10N20 obtained at the 50th epoch and the other two W2V in Italian present in the literature (BIBREF9 and BIBREF10). The first test (Table TABREF15) was performed considering all the analogies present, and therefore evaluating as an error any analogy that was not executable (as it related to one or more words absent from the vocabulary).
As it can be seen, regardless of the metric used, our model has significantly better results than the other two models, both overall and within the two macro-areas. Furthermore, the other two models seem to be more subject to the metric used, perhaps due to a stabilization not yet reached for the few training epochs.
Finally, a comparison was made between the Skip-gram model W10N20 obtained at the 50th epoch and the other two W2V in Italian present in the literature (BIBREF9 and BIBREF10). The first test (Table TABREF15) was performed considering all the analogies present, and therefore evaluating as an error any analogy that was not executable (as it related to one or more words absent from the vocabulary).

As it can be seen, regardless of the metric used, our model has significantly better results than the other two models, both overall and within the two macro-areas.
Answer: Yes.
Question: What are some reasons not to live in far northern locations?
Answer: Generally speaking, the further north you go, the colder it gets. Living in cold weather makes many things more complicated due to the need to have sources of heat everywhere you go. Far northern locations also have more extreme amounts of daylight. This makes it hard to know when it's nighttime in the summer, and in the winter, you might not see much sunlight at all. The lack of sunlight can increase depression and makes everyday activities more challenging. It is also harder to produce food in the cold and dark.
Question: What are the benefits of Microservices?
Answer: Microservices break up Monolithic Architecture into standalone lightweight services that serve a single purpose.  Developer productivity is increased as teams dedicated to the single responsibility service can control releases independent of other services.  They can also control the language the service is written in.  This is helpful when certain services might benefit from being written in Python vs C#, Java or Javascript.  Microservices advocate for an event driven architecture where services are not coupled or referenced directly.  Each Microservice can publish events that can be consumed/subscribed by other services.  Containerization and Microservices go well together when designing Microservices, considering that the paradigm calls for Containers to be immutable and treated as Cattle.  New and Old versions of the same Microservice can be released side by side in an A/B pattern, helping with assurance of any updates.  Containers can host the Microservices quickly and be tested across environments with reliability ensuring all dependencies are encapsulated in the build of the running image.
Question: How many times did they run each single classifier?
Evidence: To produce results in a setup comparable with the current state of the art BIBREF15 , we performed 10-fold cross validation and calculated the Precision,Recall and F-Score for every evaluated scheme. We randomly split each training fold into 15% validation and 85% training, while performance is evaluated over the remaining fold of unseen data. The model was implemented using Keras. We used categorical cross-entropy as learning objective, and selected the ADAM optimization algorithm BIBREF18 . Furthermore, the vocabulary size was set to 25000, and the batch-size during training was set to 500.
To avoid over-fitting, the model training was allowed to run for a maximum number of 100 epochs, out of which the optimally trained state was chosen for the model evaluation. An optimal epoch was identified so, such that the validation accuracy was maximized, while at the same time the error remained within INLINEFORM0 of the lowest ever figure within the current fold. Throughout the experiment we observed that the optimal epochs typically occurred after between the 30 and 40 epochs.
To achieve stability in the results produced, we ran every single classifier for 15 times and the output values were aggregated. In addition, the output from each single classifier run was combined with the output from another two single classifiers to build the input of an ensemble, producing INLINEFORM0 combinations. For the case of the ensemble that incorporates all five classifiers we restricted to using the input by only the first five runs of the single classifiers ( INLINEFORM1 combinations). That was due to the prohibitively very large number of combinations that were required.
To achieve stability in the results produced, we ran every single classifier for 15 times and the output values were aggregated.
Answer: 15 times.
Question: Name five cities in the state of Texas.
Answer: Five cities in the state of Texas are Austin, Houston, Dallas, San Antonio, and Waco.
Question: Why do people like skiing or snowboarding down a mountain?
Answer: People like to ski or snowboard down a mountain because it gives them a sense of adventure and a thrill to be out in nature, enjoying what winter has provided for them. The art of sliding controllably down a mountain gives people a slight adrenaline rush that can be addicting. Immersed safely in nature where there are trees, beautiful mountains, and lakes to see gives a sharp peaceful contrast to extreme adventure and risk-taking that ski and snowboarding invokes.
Question: Which language family does Chatino belong to?
Evidence: Chatino is a group of languages spoken in Oaxaca, Mexico. Together with the Zapotec language group, the Chatino languages form the Zapotecan branch of the Otomanguean language family. There are three main Chatino languages: Zenzontepec Chatino (ZEN, ISO 639-2 code czn), Tataltepec Chatino (TAT, cta), and Eastern Chatino (ISO 639-2 ctp, cya, ctz, and cly) (E.Cruz 2011 and Campbell 2011). San Juan Quiahije Chatino (SJQ), the language of the focus of this study, belongs to Eastern Chatino, and is used by about 3000 speakers.
Chatino is a group of languages spoken in Oaxaca, Mexico. Together with the Zapotec language group, the Chatino languages form the Zapotecan branch of the Otomanguean language family. 
Answer: The answers are shown as follows:
* the Otomanguean language family
Question: How do I make good coffee?
Answer: Making good coffee depends on three key things.  First, use good coffee beans that have been roasted within the last seven days.  Then use a high-quality grinder so that the coffee grinds are consistent with the type of coffee you are making.  Finally, use filtered water so that the flavor of the coffee is not overshadowed by any minerals in the water.
Question: How do you cook eggs?
Answer: There are many ways to cook eggs but my favorite is over-easy.  Ideally you will use a non-stick sauce pan around 8-9" in diameter.  Heat the sauce pan on the stove on medium heat.  You will know its ready when drops of water sizzle on the pan's surface.  You can use non-stick spray or butter to coat the pan first.  Carefully crack an egg in half and pour the insides slowly onto the heated pan.  Wait 1-2 minutes until you see the clear part of the egg turn mostly white and the edges look firm.  Use a turner to slide under the side of the egg and flip the egg over gently.  The other side of the egg cooks quickly.  After a minute carefully use the turner to scoop up the egg onto the plate.
Question: Please summarize following information about Maria Astashkina.
Evidence: Maria Astashkina (Russian: Mapия Acтaшкинa), (born 5 April 1999 in Penza, Russia) is a Russian swimmer. She won 4 gold medals in (200 m, 100 m, 50m breaststroke and 4 × 100 m medley) at the 2015 European Games.

Career
In 2014, Astashkina competed at the 2014 European Junior Championships winning 4 gold medals in (200 m, 100 m, 50m breaststroke and 4 × 100 m medley), that same year, she competed in seniors at the 2014 European Championships and at the 2014 FINA World Swimming Championships (25 m) in Doha, Qatar where she qualified for the finals in 200 m breaststroke finishing in 6th place and with Team Russia finishing 5th in 4 × 100 m women's medley.

In June 2015, 16 year old Astashkina was selected to compete at the inaugural 2015 European Games in Baku, where she won four gold medals, in (200m, 100 m, 50m breaststroke), in 4 × 100 m medley (with Arina Openysheva, Polina Egorova and Maria Kameneva broke a new junior world record touching in at 4:03.22). Astashkina also broke a junior meet record in 200m breaststroke at the Games. On August 2–9, Astashkina competed in seniors at the 2015 World Championships in Kazan, however she did not reach the semifinals after losing in her preliminary heats.

On August 25–30, Astashkina then competed at the 2015 World Junior Swimming Championships in Singapore, she won a silver medal in individual women's 200 m breaststroke behind Turkey's Viktoriya Zeynep Gunes, she finished 4th in 100 m breaststroke, 6th in 50 m breaststroke and won gold with the Russian Team in women's 4 × 100 m medley.

In April 2016, Astashkina competed at the National Championships. She won a bronze medal in 200 m breastroke but she did not comply required time to qualify at the Olympics.
Answer: Sure, here is a summary of Maria Astashkina:
Born on April 5, 1999, in Penza, Russia, Maria Astashkina is a Russian swimmer who took home four gold medals from the 2015 European Games in the 200 m, 100 m, 50 m breaststroke, and four 100 m medley events. She participated in the 2014 FINA World Swimming Championships (25 m) in Doha, Qatar, as well as the 2014 European Junior Championships. She was chosen to compete at the first-ever 2015 European Games in Baku in June of that year, where she took home four gold medals and set a junior meet record in the 200-meter breaststroke. She lost in her opening-round heats at the 2015 World Championships in Kazan, which prevented her from making it through the quarterfinals. Despite taking home a bronze in the 200 m breaststroke in April 2016, she was unable to make the Olympics.
Question: Who would win in a fight? Pirates or ninjas?
Answer: While this topic has been hotly debated over the years with people siding with one group or the other based on admiration or perceived skill advantages, it's actually pirates that would win in a fight due to their innate resourcefulness and guns.
Question: What are four universities in the state of Texas?
Answer: Four universities in the state of Texas are University of Texas, Southern Methodist University,  Texas A&M, and Texas Tech.
Question: Which of these movies are movies Kathryn Hahn starred in and which ones did Catherine Zeta-Jones star in: Afternoon Delight, We're the Millers, Bad Words, This is Where I Leave You, Traffic, Chicago, Intolerably Cruelty, Side Effects, Red 2
Answer: Kathryn Hahn: Afternoon Delight, We're the Millers, Bad Words, This is Where I Leave You
Catherine Zeta-Jones: Traffic, Chicago, Intolerably Cruelty, Side Effects, Red 2
Question: Identify which instrument is string or percussion:  Agiarut, Agung
Answer: Agung is percussion, Agiarut is string.
Question: Write a letter to a home seller named Ms Johnson explaining why we are interested in purchasing her home. We are a person from Washington and a person from Colorado. Focus on the natural beauty of the home, the location, and the extra space for pottery and woodworking.
Answer: Dear Ms. Johnson,
We recently made the decision to relocate and feel that your property
will be the perfect place for us to begin our new chapter. It is clear to see the care and
attention you have put into expanding and maintaining this home over the years and
we look forward to continuing to do the same as homeowners.

I am originally from Washington, and my partner is from Colorado. We met in college and have grown our life out of state together for the past twelve years. The last
two years have given us more flexibility and helped us realize that what is most
important to us is building a home together where we feel safe and close to family, but
also inspired and fulfilled.

We feel that is exactly what your home will bring to our lives. The unique, natural
design of the house and the stunning and spacious lot provide both an immediately
comfortable home with room to grow over the years. We look forward to building out
the garage with a woodworking shop, setting up the artist shed on the river as a
pottery studio, cooking meals for friends and family in the wonderful
kitchen, and finding a perfect spot in the yard for a vegetable garden.

We want to care and tend this home much as you have for the years you have lived
here, and we sincerely appreciate being considered as the next owners of this beautiful
property.
Question: How much is proposed model better in perplexity and BLEU score than typical UMT models?
Evidence: As illustrated in Table TABREF12 (ID 1). Given the vernacular translation of each gold poem in test set, we generate five poems using our models. Intuitively, the more the generated poem resembles the gold poem, the better the model is. We report mean perplexity and BLEU scores in Table TABREF19 (Where +Anti OT refers to adding the reinforcement loss to mitigate over-fitting and +Anti UT refers to adding phrase segmentation-based padding to mitigate under-translation), human evaluation results in Table TABREF20.
FLOAT SELECTED: Table 3: Perplexity and BLEU scores of generating poems from vernacular translations. Since perplexity and BLEU scores on the test set fluctuates from epoch to epoch, we report the mean perplexity and BLEU scores over 5 consecutive epochs after convergence.
We report mean perplexity and BLEU scores in Table TABREF19 (Where +Anti OT refers to adding the reinforcement loss to mitigate over-fitting and +Anti UT refers to adding phrase segmentation-based padding to mitigate under-translation), human evaluation results in Table TABREF20.
FLOAT SELECTED: Table 3: Perplexity and BLEU scores of generating poems from vernacular translations. Since perplexity and BLEU scores on the test set fluctuates from epoch to epoch, we report the mean perplexity and BLEU scores over 5 consecutive epochs after convergence.
Answer: Perplexity of the best model is 65.58 compared to best baseline 105.79.
Bleu of the best model is 6.57 compared to best baseline 5.50.