DataHammer/scimrc huggingface dataset:
Question: How would you describe the differences between Indian and Western music, especially as it relates to the sense of pitch?
Answer: Indian and Western music differ considerably in terms of pitch because Western music adheres to the concept of absolute pitch, while Indian music predominantly focuses on relative pitch. Absolute pitch means that a note is represented as an absolute frequency, so if someone says "A2", that pitch can be mapped back to an exact frequency, and therefore can be reconciled among many different styles of music and instrumentation. 

In contrast, much of Indian music (both classical and non-classical) uses the concept of relative pitch, which means that the musician sets a tonic note (their base note) and that pitch is the starting point for all other notes. For example, if one musician were to say that a specific pitch were "sa" (one of the 7 notes in the Indian music scale), another musician would not be able to reproduce that note, since they wouldn't know where the first musician set their tonic. However, this has other advantages,  because a tune is defined in terms of relative pitch and can be reproduced easily among different musicians and instruments without the worry of an absolute frequency which cannot be reached by a specific musical range.
Question: What is an illegal building technique?
Answer: An illegal building technique is a Lego piece connection that is officially listed as illegal by the Lego corporation. They are never used in official Lego sets. This is because these building techniques stress the Lego pieces beyond their intended use and cause the pieces to get damaged over time.

For example, sandwiching a Lego plate in between two Lego studs is an illegal technique as this was not their intended use, and the distance between the Lego studs is not wide enough to fit the Lego plate without damaging one of the pieces.
Question: Give me a bulleted list of the 5 highest mountains in the world and their respective heights in meters
Answer: * Mount Everest. Height: 8,849 meters
* K2. Height: 8,611 meters
* Kangchenjunga. Height: 8,586 meters
* Lhotse. Height: 8,516 meters
* Makalu. Height: 8,485 meters
Question: Give me a list of the subjects I need to learn to become a telecommunication engineer
Answer: The list of subjects you need to learn depends on the specific task and the level of the job, but in general the following list can be a good starting point: 
-- signals and systems
-- probability
-- linear algebra
Question: Extract all of the names of people mentioned in this paragraph and list them using bullets in the format {Name}
Evidence: The area that became Los Angeles was originally inhabited by the indigenous Tongva people and later claimed by Juan Rodríguez Cabrillo for Spain in 1542. The city was founded on September 4, 1781, under Spanish governor Felipe de Neve, on the village of Yaanga. It became a part of Mexico in 1821 following the Mexican War of Independence. In 1848, at the end of the Mexican–American War, Los Angeles and the rest of California were purchased as part of the Treaty of Guadalupe Hidalgo, and thus became part of the United States. Los Angeles was incorporated as a municipality on April 4, 1850, five months before California achieved statehood. The discovery of oil in the 1890s brought rapid growth to the city. The city was further expanded with the completion of the Los Angeles Aqueduct in 1913, which delivers water from Eastern California.
Answer: • Juan Rodríguez Cabrillo
• Felipe de Neve
Question: Based on this paragraph, how many churches are in the The Association of Baptist Churches in Ireland?
Evidence: The Association of Baptist Churches in Ireland (ABC, ABCi and ABCI) is a Baptist Christian denomination based in Ireland. It is a group of 117 autonomous Baptist churches working together in fellowship and evangelism, training and caring ministries. The association only acts on behalf of the churches for the work which the churches have agreed to do together.
Answer: 117
Question: What method does the author use?
Evidence: I use the stimuli provided by BIBREF1 , BIBREF2 , BIBREF3 , but change the experimental protocol to adapt it to the bidirectional nature of the BERT model. This requires discarding some of the stimuli, as described below. Thus, the numbers are not strictly comparable to those reported in previous work.
I use the stimuli provided by (Linzen et al., 2016; Gulordava et al., 2018; Marvin and Linzen, 2018), but change the experimental protocol to adapt it to the bidirectional nature of the BERT model.
Answer: The author uses the stimuli provided by (Linzen et al., 2016; Gulordava et al., 2018; Marvin and Linzen, 2018), but changes the experimental protocol to adapt it to the bidirectional nature of the BERT model.
Question: What is the GE Dash 8-32BWH
Answer: The GE Dash 8-32BWH, also known as the P32-8BWH, B32-8WH, or P32-8, is a passenger train locomotive used by Amtrak, based on GE's Dash 8 series of freight train locomotives. Built in 1991, they were the first locomotives purchased to replace the EMD F40PH.
Question: What human foods are toxic to dogs?
Evidence: Several human foods and household ingestible are toxic to dogs, including chocolate solids, causing theobromine poisoning, onions and garlic, causing thiosulphate, sulfoxide or disulfide poisoning, grapes and raisins, macadamia nuts, and xylitol. The nicotine in tobacco can also be dangerous to dogs. Signs of ingestion can include copious vomiting (e.g., from eating cigar butts) or diarrhea. Some other symptoms are abdominal pain, loss of coordination, collapse, or death.[page needed]
Answer: It's always good to check with your vet before giving your dog human foods. Human foods that are most toxic to dogs are: chocolate, onions, garlic, grapes, raisins, macadamia nuts, xylitol, and nicotine.
Question: What do they use to extract topics and relevant terms?
Evidence: Entities play a central role in the interplay between social media and online news BIBREF0 . Everyday millions of tweets are generated about local and global news, including people reactions and opinions regarding the events displayed on those news stories. Trending personalities, organizations, companies or geographic locations are building blocks of news stories and their comments. We propose to extract entities from tweets and their associated context in order to understand what is being said on Twitter about those entities and consequently to create a picture of people reactions to recent events.
With this in mind and using text mining techniques, this work explores and evaluates ways to characterize given entities by finding: (a) the main terms that define that entity and (b) the sentiment associated with it. To accomplish these goals we use topic modeling BIBREF1 to extract topics and relevant terms and phrases of daily entity-tweets aggregations, as well as, sentiment analysis BIBREF2 to extract polarity of frequent subjective terms associated with the entities. Since public opinion is, in most cases, not constant through time, this analysis is performed on a daily basis. Finally we create a data visualization of topics and sentiment that aims to display these two dimensions in an unified and intelligible way.
The combination of Topic Modeling and Sentiment Analysis has been attempted before: one example is a model called TSM - Topic-Sentiment Mixture Model BIBREF3 that can be applied to any Weblog to determine a correlation between topic and sentiment. Another similar model has been proposed proposed BIBREF4 in which the topic extraction is achieved using LDA, similarly to the model that will be presented. Our work distinguishes from previous work by relying on daily entity-centric aggregations of tweets to create a meta-document which will be used as input for topic modeling and sentiment analysis.
To accomplish these goals we use topic modeling to extract topics and relevant terms and phrases of daily entity-tweets aggregations, as well as, sentiment analysis to extract polarity of frequent subjective terms associated with the entities.
Answer: Topic modeling.
Question: India’s overall food grain production (based on 4th Advance estimates) is estimated to have touched how much?
Answer: 315.72 million tonnes in 2021-22 crop year ( last year it was 310.74mt)
Question: How long is the dataset?
Evidence: The corpus includes 2000 sentences. Theses sentence are random renderings of 200 sentences, which we have taken from Sorani Kurdish books of the grades one to three of the primary school in the Kurdistan Region of Iraq. The reason that we have taken only 200 sentences is to have a smaller dictionary and also to increase the repetition of each word in the narrated speech. We transformed the corpus sentences, which are in Persian-Arabic script, into the format which complies with the suggested phones for the related Sorani letters (see Section SECREF6).
The corpus includes 2000 sentences. 
Answer: The answers are shown as follows:
* 2000
Question: What is the optimal combination found by the authors through hyperparametric tuning?
Evidence: From the hyperparameter tuning we found that the best combination was
embeddings: “ELMo on pubmed”,
hidden_size: 256,
learning_rate: 0.05,
mini_batch_size: 32.
With the above hyperparameter setting, the hybrid NER model achieved a F1 score of $0.995$ on synthesized queries and $0.948$ on clinical notes while the i2b2 NER model achieved a F1 score of $0.441$ on synthesized queries and $0.927$ on clinical notes (See Table TABREF23).
Since there was no ground truth available for the retrieved terms, we randomly picked a few samples to assess its performance. Some example outputs of our complete framework on real user queries are shown in Figure FIGREF24. For example, from the figure we see that the query "child fever double vision dizzy" was correctly tagged with four entities: "child", "fever", "double vision", and "dizzy". A list of terms from our glossary was matched to each entity. In real world application, the lists of terms will be presented to the user as the retrieval results to their queries.
From the hyperparameter tuning we found that the best combination was embeddings: “ELMo on pubmed”, hidden_size: 256, learning_rate: 0.05, mini_batch_size: 32.
Answer: The best combination was embeddings: “ELMo on pubmed”, hidden_size: 256, learning_rate: 0.05, mini_batch_size: 32.
Question: What are some types of potatoes commonly grown in Ireland?
Answer: Potato varieties can change in popularity over time. Most recently, the Irish Potato Federation has listed the following types as most popular: Rooster, Kerr's Pink, Golden Wonder, Salad & Baby Potatoes, and Maris Piper.
Question: Identify which car manufacturer is Chinese or American: Aion, Cadillac
Answer: Aion is Chinese, Cadillac is American
Question: Extract the Greek cities mentioned in the below text and list them from smallest to largest
Evidence: Greece, officially the Hellenic Republic, is a country in Southeast Europe. It is situated on the southern tip of the Balkan Peninsula, and is located at the crossroads of Europe, Asia, and Africa. Greece shares land borders with Albania to the northwest, North Macedonia and Bulgaria to the north, and Turkey to the northeast. The Aegean Sea lies to the east of the mainland, the Ionian Sea to the west, and the Sea of Crete and the Mediterranean Sea to the south. Greece has the longest coastline on the Mediterranean Basin, featuring thousands of islands. The country consists of nine traditional geographic regions, and has a population of approximately 10.5 million. Athens is the nation's capital and largest city, followed by Thessaloniki and Patras.
Answer: Patras, Thessaloniki and Athens
Question: Identify which instrument is string or percussion: Cimbalom, Xiqin
Answer: Xiqin is string, Cimbalom is percussion.
Question: Beside the text generation tasks without an input, what task does the adversarial training framework could be extended?
Evidence: We have shown our adversarial training framework for text generation tasks without an input. Actually, it can also be extended to conditional text generation tasks like dialogue generation. Given the data distribution INLINEFORM0 where INLINEFORM1 denote contexts and responses respectively, the objective function of ARAML's generator can be modified as below: DISPLAYFORM0 
 where INLINEFORM0 and INLINEFORM1 is trained to distinguish whether INLINEFORM2 is the true response to INLINEFORM3 .
We have shown our adversarial training framework for text generation tasks without an input. Actually, it can also be extended to conditional text generation tasks like dialogue generation.
Answer: Conditional text generation tasks like dialogue generation.
Question: What is a good investment strategy?
Answer: There are two important dimensions to a good investment strategy. The first dimension is diversification: the strategy should cover a broad spectrum of asset classes. It should have mix of stocks, bonds and fixed income assets. Within each of these asset classes, it should have further diversification. Investing into ETF of index funds would provide this diversification. There could be room for aggressive investment for a small portion of the portfolio. The second dimension to the strategy is time based  periodic investment: this allows you to dollar cost average your investments. You buy less when asset values rise, and buy more when they fall.
Question: How many times does Fred Allison try to escape captivity?
Evidence: British Captain Fred Allison bids farewell to his new wife, Monica, whom he has only known for six days, and sets out to serve in World War I. He ends up a prisoner of war (POW), tortured by the fact that his wife has not written to him since the early days of his two year captivity.

When a fellow inmate shoots a guard, the prisoners make an impromptu unsuccessful dash for freedom, resulting in much bloodshed on both sides. As punishment, they are locked in a crowded cell for about a month. Finally, a new commandant, Oberst Carl Ehrlich, takes charge of the camp. Allison persuades Ehrlich (a fellow Oxford alumnus) to rescind the punishment.

One day, a fresh batch of POWs arrives. Allison is delighted to find his oldest and best friend among them, Royal Flying Corps Lieutenant Jack "Dig" Digby. For some reason though, Dig is not as pleased to see him. However, Allison attributes that to their situation. Dig is determined to escape, regardless of the consequences to his fellow prisoners. He does manage to break free, stealing an aircraft from the nearby airfield.
Answer: It seems from the text that Fred Allison tried to escape one time.

The prisoners made an impromptu unsuccessful dash for freedom when a fellow inmate shot a guard. We don't know for sure, but we can assume that Fred Allison was one of the prisoners that attempted to escape. Dig, Allison's oldest and best friend, managed to break free by stealing an aircraft from a nearby airfield, but it does not appear that Allison was involved.
Question: who is tamil nadu super star ?
Answer: In Tamil Nadu, Superstar is Rajinikanth and he is one of the popular film stars.
Question: How do I start running?
Answer: Make sure you get comfortable running shoes and attire. Start with achievable goal in mind like a 5K race. If you never ran before, start gradually from a walk, to brisk walk, light jog aiming for 15-30mins initially. Slowly increase your running time and distance as your fitness level improves. One of the most important things is cool down and gentle stretching. Always listen to your body, and take rest days when needed to prevent injury.
Question: Write a review of Carlos Ruiz Zafon's book The Shadow of the Wind
Answer: What a beautiful book; it reminds me of Murakami - magical yet still very grounded. The Shadow of the Wind has everything going for it: mystical Barcelona, heartwarming characters, poetic language, intriguing plot.

The language and setting of the book was amazing. Zafon is extremely talented, his words are elegant and poetic, and he paints Barcelona in a myriad of different ways: dark and gothic at night, or blissfully cheerful, or dreary gloom, all depending on the characters.

I loved the cast of Shadow of the Wind. Each character was well developed and given an appropriate backstory. They bumped into each other in mysterious turns, and their interactions, like Daniel and Clara, or Daniel and Nuria, were heart wrenching.

But most of all, Zafon tells a wonderful story. I loved the parallels between Julian Carax and Daniel, and how Daniel's life becomes entangled with Julian's. It makes it feel much more like magical realism, and makes for an entertaining read.
Question: What is a “knock knock joke”?
Answer: It’s a joke with a specific format that requires interaction between two people. The person saying the joke begins with the phrase “knock knock” and the other person responds with “who’s there?” The person asking the joke then gives the setup, and the other person repeats back the setup verbatim and adds the word “who” at the end. The person asking the joke then delivers the punchline. An example of a knock knock joke is: 
Knock knock
Who’s there?
Orange
Orange who?
Orange you glad I’m only doing one knock knock joke!?
Question: Write a press release for a startup called Outcomes.ai about their product "Luca" which offers a new SaaS offering for the subscription economy.
Answer: New AI-augmented analytics platform takes the guesswork and grunt work out of business intelligence with pre-built metrics, models and radically simple user experience.  The cloud-based solution empowers leaders of subscription businesses to monitor, diagnose and optimize their business without employing teams of data analysts and data scientists.

Forward-looking organizations of all sizes are looking to data for a competitive edge.  Advances in data science and the ever expanding sources of data offer the raw ingredients for greater efficiency and insights. Despite heavy investments in modern analytics tooling, businesses continue to find their analysts overwhelmed with an unending backlog of basic reporting needs.  Those who successfully manage this backlog are rewarded with an ever expanding repository of dashboards and reports that compete for attention, drowning the data that matters in a sea of noise.

Luca is a radical rethink of analytics for subscriptions business that summarizes the entirety of a business into a handful of KPIs that can be monitored, diagnosed and optimized. Built-in ML and simulation models allowing users to drill into concerning areas and project the impact of interventions in a single gesture.  Built in collaboration and integration into Slack, Microsoft Teams and the Google productivity suite enables organizations to effectively translate to action.

Getting started with Luca is simple.  Luca connects the leading CRM and marketing automation platforms to power its models and KPIs. Users will be able to see the analytics Luca provides hours within connecting the system - no analyst, data scientist or report developer required. Organizations can optionally leverage Luca’s open API to connect supplementary data to enhance the model with additional data to strengthen the model.

“Like so many others across our market, we’re in the middle of a subscription transformation.” says Melissa Doug, CFO of Intiu. “This is the biggest change we have in our business model in our 30 year history and is forcing us to rethink how we run our business.  We are looking to data to guide our decision-making in this new world, but our BI team is already overwhelmed with our backlog of analytic needs for our existing transactional business.  Luca has been a revelation. The built-in one-click diagnostics has made it gut-driven decisions inexcusable.  I was sold when the system automatically identified that a sharp decrease in our MQLs in the NE region was the reason for our improved pipeline coverage.  This is the type of insight that never would have been found with conventional visual analytics tools.”.
Question: Based on this article, considerations of what time zone is used for determining what land is in the dead man zone?
Evidence: The dead man zone is the area directly around a bushfire that is likely to burn within five minutes given the current wind conditions or an anticipated change in wind direction. The distance this zone extends from the firefront is highly dependent on terrain, windspeed, fuel type and composition, relative humidity and ambient temperature, and can range from under 100 metres (330 ft) to well over 1 kilometre (3,300 ft).
Answer: A five minute period in the future is used for creating the dead man zone.
Question: What languages are spoken in Belgium?
Answer: There are 3 languages:  Dutch, French, and German.  Dutch is spoken in the Northern part of Belgium, French in the South, and German is spoken along the German border.
Question: From the passage extract the career wards as a bulleted list with year and name.
Evidence: Prior to his appointment at the University of Minnesota in 1997 he was on the faculty of McGill University in Montreal. He has held postdoctoral or visiting appointments at the University of Chicago, East Carolina University, the University of Otago in New Zealand, and the University of Natal Medical School (now the Nelson R. Mandela School of Medicine), the first medical school in South Africa for non-white students.

Elliott received a Guggenheim Fellowship and a National Endowment for the Humanities Public Scholar Award in 2018. He was the Cary and Ann Maguire Chair in Ethics and American History at the John W. Kluge Center at the United States Library of Congress in 2019. He is a Member of the Institute for Advanced Study in Princeton, New Jersey, where he led a faculty seminar on bioethics in 2003–2004, and an honorary faculty member of the University of Otago Bioethics Centre in New Zealand. He is a fellow of the Hastings Center, an independent bioethics research institution.
Answer: * 2018, Guggenheim Fellowship
* 2018, National Endowment for the Humanities Public Scholar
Question: What is the paleolithic?
Answer: The word "Paleolithic" comes from the Greek for "ancient stone." It refers to a time period of several million years in the past, from the beginning of humans to the invention of agriculture about 10 million years ago, when stone tools were made and used.
Question: What is the difference between a bee and a wasp?
Answer: Bees and wasps differ greatly in appearance. In general, bees are more full-bodied, hairy and appear to be fuzzy, a characteristic that helps them collect and disseminate pollen. Wasps are more slim-bodied, have slender legs and their body appears non-hairy and shiny. Additionally, unlike bees, which can sting only once—the process is ultimately fatal to them—wasps can sting multiple times and buzz merrily away.