DataHammer/scimrc huggingface dataset:
Question: Given a reference text about the history of Real Madrid Football Club, tell me the year it was founded and the name of its current stadium.
Evidence: Founded in 1902 as Madrid Football Club, the club has traditionally worn a white home kit since its inception. The honorific title real is Spanish for "royal" and was bestowed to the club by King Alfonso XIII in 1920 together with the royal crown in the emblem. Real Madrid have played their home matches in the 81,044-capacity Santiago Bernabéu Stadium in downtown Madrid since 1947. Unlike most European sporting entities, Real Madrid's members (socios) have owned and operated the club throughout its history. The club is one of the most widely supported in the world, and was estimated to be worth $5.1 billion in 2022, making it the world's most valuable football team. In 2021, it was the second highest-earning football club in the world, with an annual revenue of €640.7 million.
Answer: Real Madrid was founded in 1902 as Madrid Football Club. Its current stadium, where they play their home matches, is Santiago Bernabeu Stadium.
Question: What is a romance language?
Answer: Romance languages are a subset of languages derived from Latin roots into fully fledged nationally spoken languages. Examples of Romance languages are French, Italian, Spanish, and Portuguese.
Question: What train is the GB Class 2
Evidence: GB Class 2 was a series of two trams and two trailers built by Skabo Jernbanevognfabrikk for Graakalbanen of Trondheim, Norway.

Each of the four Siemens motors had an effect of 60 kW (80 hp). There were two compartments, both with four-abreast seating, with reversible seats. Despite running in part in city streets, the trams were 2.6 m (8 ft 6 in) wide. They had seating for 40 passengers.

The trams were ordered in 1941, and a single set of tram and trailer was delivered in May 1940. Not until 1947 were to additional trailers delivered. In 1950, the second motor was delivered from Siemens, and the first trailer could be rebuilt to a tram. The trams remained in service until 1973 when they were replaced by the TS Class 7 trams, following the merger of Graakalbanen into Trondheim Trafikkselskap, and the subsequent reorganizing of routes, so the Gråkallen Line was operated onwards along the Lademoen Line. No. 5 is preserved as a heritage tram at Trondheim Tramway Museum, while no. 6 was scrapped in 1983.
Answer: The GB Class 2 was a series of two trams and two trailers built by Skabo Jernbanevognfabrikk for Graakalbanen of Trondheim, Norway.

Each of the four Siemens motors had an effect of 60 kW (80 hp). There were two compartments, both with four-abreast seating, with reversible seats. Despite running in part in city streets, the trams were 2.6 m (8 ft 6 in) wide. They had seating for 40 passengers.
Question: Which datasets did they experiment on?
Evidence: FLOAT SELECTED: Table 1: Various types of training instances.
FLOAT SELECTED: Table 1: Various types of training instances.
Answer: ConciergeQA and AmazonQA
Question: What are some common ways to manage Type 1 Diabetes?
Answer: Two items are needed for successful management of Type 1 Diabetes. A way to monitor blood sugar levels and a way to administer insulin. 

Blood sugar monitoring is done either using a Continuous Glucose Monitor (CGM) device or with a blood sugar monitoring device where a small blood sample is required in order to measure the amount of sugar in the blood.

The maintenance of glucose level in the body is regulated with insulin. Insulin can either be administered with a syringe or with an insulin pump.
Question: What are 5 fitness tips that will help me lose weight
Answer: 1. Have a healthy diet comprised of diverse, whole foods. Cut out processed foods
2. Include strength training in your workout plan. Aim for 3 to 4 days per week
3. Get your body moving everyday. Walking helps a lot more than you would think
4. Set realistic goals for yourself. Accountability will keep you focused and motivated
5. Patience is key for weight loss. It won't happen over night so stick to eating healthy and working out. It will take longer to see results compared to crash dieting but the results will be longer lasting
Question: From the passage provided, extract the month and year when Cassandra was released on Google code
Evidence: Avinash Lakshman, one of the authors of Amazon's Dynamo, and Prashant Malik initially developed Cassandra at Facebook to power the Facebook inbox search feature. Facebook released Cassandra as an open-source project on Google code in July 2008. In March 2009, it became an Apache Incubator project. On February 17, 2010, it graduated to a top-level project.

Facebook developers named their database after the Trojan mythological prophet Cassandra, with classical allusions to a curse on an oracle.
Answer: Facebook released Cassandra as an open-source project on Google code in July 2008.
Question: Categorize each of the following as reptiles, vegetables or body parts: elbow, iguana, toe, lettuce, broccoli, turtle, shin, eye, okra, alligator, ear, finger, python, anaconda, and cabbage.
Answer: The reptiles are: iguana, turtle, alligator, python, and anaconda; the vegetables are: lettuce, broccoli, okra, and cabbage; the body parts are: toe, shin, eye, ear and finger.
Question: Give me a list of the best high fantasy books or series that I should read
Answer: The Farseer trilogy, The Lord of the Rings, Mistborn series, A Song of Ice and Fire series, The Name of the Wind, Stardust, The Witcher.
Question: Which part of the world Egypt is located?
Answer: Egypt is in the north east part of Africa.
Question: Extract the destination countries of Azorean emigrants. Separate them with a comma.
Evidence: Since the 17th century, many Azoreans have emigrated, mainly to Brazil, Uruguay, the United States and Canada.
Answer: Brazil, Uruguay, United States, Canada
Question: In what state is Yosemite located?
Answer: Yosemite National Park is located in California.
Question: What empire was Augustus the leader of?
Answer: Augustus was a leader of the Roman Empire
Question: Extract the different types of milk distribution containers mentioned in the text and list them using bullets in the format {container type} - {volume}
Evidence: In Australia and New Zealand, prior to metrication, milk was generally distributed in 1 pint (568 mL) glass bottles. In Australia and Ireland there was a government funded "free milk for school children" program, and milk was distributed at morning recess in 1/3 pint bottles. With the conversion to metric measures, the milk industry was concerned that the replacement of the pint bottles with 500 mL bottles would result in a 13.6% drop in milk consumption; hence, all pint bottles were recalled and replaced by 600 mL bottles. With time, due to the steadily increasing cost of collecting, transporting, storing and cleaning glass bottles, they were replaced by cardboard cartons. A number of designs were used, including a tetrahedron which could be close-packed without waste space, and could not be knocked over accidentally (slogan: "No more crying over spilt milk"). However, the industry eventually settled on a design similar to that used in the United States. Milk is now available in a variety of sizes in paperboard milk cartons (250 mL, 375 mL, 600 mL, 1 liter and 1.5 liters) and plastic bottles (1, 2 and 3 liters). A significant addition to the marketplace has been "long-life" milk (UHT), generally available in 1 and 2 liter rectangular cardboard cartons. In urban and suburban areas where there is sufficient demand, home delivery is still available, though in suburban areas this is often 3 times per week rather than daily. Another significant and popular addition to the marketplace has been flavored milks; for example, as mentioned above, Farmers Union Iced Coffee outsells Coca-Cola in South Australia.
Answer: - glass - 1 pint (569 mL)
- glass - 1/3 pint
- glass - 600 mL
- paperboard - 250 mL
- paperboard - 375 mL
- paperboard - 600 mL
- paperboard - 1 L
- paperboard - 1.5 L
- plastic - 1 L
- plastic - 2 L
- plastic - 3 L
- cardboard - 1 L
- cardboard - 2 L
Question: Where was Ostad Elahi born and who was his father
Evidence: Elahi was born in Jeyhunabad, a small Kurdish village near the eponymous capital of Kermanshah Province. His father, Hajj Nematollah (1871–1920), was a mystic and poet who was a leader of the Ahl-e Haqq and revered as a saint. From early childhood, he led an ascetic, secluded life of rigorous discipline under his father's supervision with a special focus on mysticism, music, and ethics. In addition to religious and moral instruction, he received the classical education of the time. During study and contemplation in his youth, he established the basis of his philosophical and spiritual reflections.
Answer: He was born in Jeyhunabad, a small Kurdish village and his father was Hajj Nematollah, a mystic and poet and a leader of Ahl-e Haqq
Question: Given these paragraphs, tell me what a recurrent neural network , and how it differs from a convolutional neural network.
Evidence: A recurrent neural network (RNN) is a class of artificial neural networks where connections between nodes can create a cycle, allowing output from some nodes to affect subsequent input to the same nodes. This allows it to exhibit temporal dynamic behavior. Derived from feedforward neural networks, RNNs can use their internal state (memory) to process variable length sequences of inputs. This makes them applicable to tasks such as unsegmented, connected handwriting recognition or speech recognition. Recurrent neural networks are theoretically Turing complete and can run arbitrary programs to process arbitrary sequences of inputs.

The term "recurrent neural network" is used to refer to the class of networks with an infinite impulse response, whereas "convolutional neural network" refers to the class of finite impulse response. Both classes of networks exhibit temporal dynamic behavior. A finite impulse recurrent network is a directed acyclic graph that can be unrolled and replaced with a strictly feedforward neural network, while an infinite impulse recurrent network is a directed cyclic graph that can not be unrolled.

Both finite impulse and infinite impulse recurrent networks can have additional stored states, and the storage can be under direct control by the neural network. The storage can also be replaced by another network or graph if that incorporates time delays or has feedback loops. Such controlled states are referred to as gated state or gated memory, and are part of long short-term memory networks (LSTMs) and gated recurrent units. This is also called Feedback Neural Network (FNN).
Answer: A recurrent neural network is a class of artificial neural networks where connections between nodes can create a cycle, allowing output from some nodes to affect subsequent input to the same nodes.The term "recurrent neural network" is used to refer to the class of networks with an infinite impulse response, whereas "convolutional neural network" refers to the class of finite impulse response.
Question: Which companies continue to make computers today: Lenovo, Apple, Tandy, Compaq, Digital, HP, Dell, Gateway.
Answer: The following companies continue to make computers today: Lenovo, Apple, HP, Dell.

Please note that Compaq was acquired by HP and its computers were subsequently rebranded as HP.
Question: What do they use to capture long-range dependencies in tweets?
Evidence: We first discuss a few baseline methods and then discuss the proposed approach. In all these methods, an embedding is generated for a tweet and is used as its feature representation with a classifier.
Baseline Methods: As baselines, we experiment with three broad representations. (1) Char n-grams: It is the state-of-the-art method BIBREF0 which uses character n-grams for hate speech detection. (2) TF-IDF: TF-IDF are typical features used for text classification. (3) BoWV: Bag of Words Vector approach uses the average of the word (GloVe) embeddings to represent a sentence. We experiment with multiple classifiers for both the TF-IDF and the BoWV approaches.
Proposed Methods: We investigate three neural network architectures for the task, described as follows. For each of the three methods, we initialize the word embeddings with either random embeddings or GloVe embeddings. (1) CNN: Inspired by Kim et. al BIBREF3 's work on using CNNs for sentiment classification, we leverage CNNs for hate speech detection. We use the same settings for the CNN as described in BIBREF3 . (2) LSTM: Unlike feed-forward neural networks, recurrent neural networks like LSTMs can use their internal memory to process arbitrary sequences of inputs. Hence, we use LSTMs to capture long range dependencies in tweets, which may play a role in hate speech detection. (3) FastText: FastText BIBREF4 represents a document by average of word vectors similar to the BoWV model, but allows update of word vectors through Back-propagation during training as opposed to the static word representation in the BoWV model, allowing the model to fine-tune the word representations according to the task.
All of these networks are trained (fine-tuned) using labeled data with back-propagation. Once the network is learned, a new tweet is tested against the network which classifies it as racist, sexist or neither. Besides learning the network weights, these methods also learn task-specific word embeddings tuned towards the hate speech labels. Therefore, for each of the networks, we also experiment by using these embeddings as features and various other classifiers like SVMs and GBDTs as the learning method.
Unlike feed-forward neural networks, recurrent neural networks like LSTMs can use their internal memory to process arbitrary sequences of inputs. Hence, we use LSTMs to capture long range dependencies in tweets, which may play a role in hate speech detection.
Answer: LSTMs.
Question: What is the Dollarama?
Evidence: Dollarama is a Canadian dollar store retail chain headquartered in Montreal. Since 2009 it is Canada's biggest retailer of items for five dollars or less. Dollarama has over 1400 stores and is active in all Canada; Ontario has the most stores.

History
Rossy S Inc.
The first all-dollar store was founded in Montreal in 1910 by Salim Rassy, a Lebanese immigrant, whose name became Rossy. His son George took over the retailer in 1937 and led the company until his death in 1973 when grandson Larry Rossy assumed leadership of it when it had 20 stores.

Dollarama
The discount retailer grew to 44 stores by 1992 which until then operated under the name Rossy S Inc. (not to be confused with Rossy Michael, a similar chain founded in 1949 by another son of Salim Rassy). That year, Larry Rossy opened the first Dollarama at the shopping centre "Les promenades du St-Laurent" in Matane. By the late 1990s, Dollarama had become by far the primary source of revenue for the Rossy family. As such, the Rossy S chain was discontinued by the turn of the new millennium, with all of its stores either closed or converted into Dollarama locations. After converting all the locations to the dollar store concept, Larry Rossy continued to open new stores reaching 1,000 stores in 2015. In November 2004, 80 percent of the chain was sold for $850 million US, to a private equity fund, Bain Capital, of Boston, Massachusetts.
Answer: Dollarama is a Canadian dollar store retail chain headquartered in Montreal. Since 2009 it is Canada's biggest retailer of items for five dollars or less.
Question: Does parallel universe really exist?
Answer: When we talk about the possibility of multiple universes, we are referring to the idea that there could be many separate and distinct “realities” or “worlds” coexisting alongside our own. These universes may have different physical laws, properties, and dimensions, and could exist in parallel to our own universe. So basically, there’s this idea that there could be lots of different universes happening at the same time, and there are couple of evidences that make people think it might be true.
There are several evidences for parallel universe, such as Hawking radiation, which says that anything going into a black hole might end up in another universe. or the gravity waves act oddly and deviate objects from their orbits, possibly due to the influence of parallel universes.
This idea of multiple universes has been proposed in various fields of science, including physics, astronomy, and even psychology. For example, Stephen Hawking was the leading theoretical physicist who advocated multiverse theory. I believe it remains a highly theoretical concept till today, and it is an area of active research and exploration, as scientists continue to investigate the possibility of parallel universes and their potential implications for our understanding of the universe and our place in it.
Question: Which languages do they experiment on?
Evidence: In this paper, we study the problem of how to do simultaneous translation better with a pretrained vanilla CNMT model. We formulate simultaneous translation as two nested loops: an outer loop that updates input buffer with newly observed source tokens and an inner loop that translates source tokens in the buffer updated at each outer step. For the outer loop, the input buffer can be updated by an ASR system with an arbitrary update schedule. For the inner loop, we perform prefix translation using the pretrained CNMT model with dynamically built encoder and decoder hidden states. We also design two novel stopping criteria for the inner loop: Length and EOS (LE) controller that stops with heuristics, and Trainable (TN) controller that learns to stop with a better quality and latency balance. We evaluate our method on IWSLT16 German-English (DE-EN) translation in both directions, WMT15 English-German (EN-DE) translation in both directions, and NIST Chinese-to-English (ZH$\rightarrow $EN) translation. The result shows our method consistently improves over the de-facto baselines, and achieves low latency and reasonable BLEU scores.
We evaluate our method on IWSLT16 German-English (DE-EN) translation in both directions, WMT15 English-German (EN-DE) translation in both directions, and NIST Chinese-to-English (ZH$\rightarrow $EN) translation.
Answer: The answers are shown as follows:
* German
* English
* Chinese
Question: How big are improvements with multilingual ASR training vs single language training?
Evidence: The results of multilingual training in which the modeling unit is syllables are presented in Table 5. All error rates are the weighted averages of all evaluated speakers. Here, `+ both' represents the result of training with both JNAS and WSJ corpora. The multilingual training is effective in the speaker-open setting, providing a relative WER improvement of 10%. The JNAS corpus was more helpful than the WSJ corpus because of the similarities between Ainu and Japanese language.
The results of multilingual training in which the modeling unit is syllables are presented in Table 5. All error rates are the weighted averages of all evaluated speakers. Here, `+ both' represents the result of training with both JNAS and WSJ corpora. The multilingual training is effective in the speaker-open setting, providing a relative WER improvement of 10%. The JNAS corpus was more helpful than the WSJ corpus because of the similarities between Ainu and Japanese language.
Answer: The answers are shown as follows:
* relative WER improvement of 10%.
Question: What is the best surface to run on?
Answer: Running is a great exercise, but not all running surfaces are created equal. Traditionally, those who run "runners" will run 5-7 days a week. Runners will average between 3 miles per run up to 20 miles per run. While running is great exercise and very efficient at burning calories, it can be hard on the body. Specifically the leg joints. The average runner will strike the surface they are running on 1,480 times per mile. So if you are running 10 miles, thats just under 15,000 foot strikes. This repetitive striking can deteriorate the body joints over time. Therefore, the type of surface a runner runs on, can have a huge impact on the body. Some surfaces are harder than others, the harder the surface, the harder on the body, legs and joints. Concrete is harder than asphalt, asphalt is harder than a dirt trail and a dirt trail is harder than a high school track surface. Example, concrete can be 30% harder surface than asphalt. Running is a great exercise and millions of people enjoy running. But if you want to run long, as in for a long time, choose your running surface for the long run. Because the surface you choose to run on, can have a direct correlation to how long your body and leg joints will last.
Question: Your organized flight has been canceled. Write a letter to the airline company. You should 1) complain about the situation, 2) request what you need from them to make a travel insurance claim, 3) suggest what they should do in future situations.
Answer: Hi Delta Airline,

I am Ao Ni, I send this email regarding a cancelled flight of mine and to request documents to claim my travel insurance. 

I just received an email from you that my flight from Las Vegas to New York today at 10 PM was canceled due to mechanical issues. Even though Delta Airline will refund me the cost of flight ticket, the last minute ticket for tomorrow's flight is extremely expensive, almost double the normal price. I have to get back to New York by tomorrow to attend a very important meeting so I have to pay for the ticket, plus one night stay at a hotel for tonight. 

Will you reimburse my hotel and ticket? If not, I will have to claim it through my travel insurance and I need two documents to support my case. First, the confirmation of my order. Second, I need a letter from you to state the reason of the cancellation and that Delta Airlines is not able to reimburse my loss. 

I understand that bad things happen sometimes but I am still annoyed by the last minute notice. You should have noticed me earlier so that I could have had more time to deal with it. 

Please let me know if you need anything from me. You can reach me at 123-456-7890 or my email 123@gmail.com.
Question: which benchmark tasks did they experiment on?
Evidence: Experiments on two benchmark data sets, the Stanford Sentiment Treebank BIBREF7 and the AG English news corpus BIBREF3 , show that 1) our method achieves very competitive accuracy, 2) some views distinguish themselves from others by better categorizing specific classes, and 3) when our base bag-of-words feature set is augmented with convolutional features, the method establishes a new state-of-the-art for both data sets.
d 
Experiments on two benchmark data sets, the Stanford Sentiment Treebank BIBREF7 and the AG English news corpus BIBREF3 , show that 1) our method achieves very competitive accuracy, 2) some views distinguish themselves from others by better categorizing specific classes, and 3) when our base bag-of-words feature set is augmented with convolutional features, the method establishes a new state-of-the-art for both data sets.
 Stanford Sentiment Treebank
 AG English news corpus 
Answer:  They used Stanford Sentiment Treebank benchmark for sentiment classification task and   AG English news corpus for the text classification task.
Question: What is a bloom filter index and when should I use it?
Answer: A bloom filter is a concept used to improve the performance of read operations done on specific types of computer files. More specifically, it improves the read performance of filtered read operations which only require a subset of the dataset to be returned based on specific conditions. Bloom filters improve the performance of the reading mechanism by providing "hints" which state that data is definitely not in the file, or that it is probably in the file. This allows the reading mechanism to skip certain files when reading, improving performance.