DataHammer/scimrc huggingface dataset:
Question: If you are going to the beach for the day with your family of five, which includes young children, determine whether the following items are either 'helpful', 'not helpful', or ' impractical'. The items are: sunscreen, bottles of water, 20 shovels, boots, snacks, towels, sand toys, 20 shovels, a parachute, and a grand piano.
Answer: A day at the beach is a great way to spend time with family! Since you'll be away from the comforts of home, bringing the right items is essential to fully enjoying the day. With young children, it's important to bring water and food to keep them happy throughout the day, also having a few toys is not a bad idea. In that case, having water bottles, snacks, and sand toys would all be useful. If you're at the beach all day, it's also likely you'll swim in ocean or lay in the sand, so having towels and sunscreen at the ready is incredibly useful. 

On the other hand, there are a few items that seem unnecessary, or just not helpful for a day at the beach. Why would anyone ever require 20 shovels? A shovel by itself might be helpful, but 20 is way too many, and certainly not useful. Also, if one is at the beach, then boots are likely overkill and not useful, since most beach-goers tend to be barefoot or wear sandals. Lastly, the list contains two items which are impractical for any beach trip: a parachute and a grand piano. In my entire life, I've never seen a grand piano at the beach. They're beautiful instruments, but very heavy and would take a ton of effort to get on the beach, not to mention the possible damage to the piano. A parachute is also similarly impractical. The family trip is exclusively on the ground, so bringing an item that helps people jump from planes seems entirely impractical.
Question: What is Terraform?
Answer: Terraform is an infrastructure as code tool that lets you build/deploy, change, and version cloud and on-prem resources safely and efficiently.
Question: What are Calories, and what is the difference between good and bad calories?
Answer: Calories are the physical units for measuring heat and energy. The nutritional energy contained in fat, protein, and carbohydrates (also knowns as macronutrients or macros for short) is expressed in kilocalories (kcal or Cal) and makes up your daily caloric intake. Our bodies need the energy provided by these macronutrients to function properly. If you consume fewer calories than you burn, you will lose weight. On the other hand, if you consume more calories than you consume, you will gain weight. Calories are categorized as good or bad based on the sources, and its positive or negative impacts on our body. Negative impacts to body include increased risk of cardiovascular diseases, inflammation, and depression. Bad calories come from sources like meat, fat, sugar and processed foods. Good calories come from eating a whole-grain diet high in fruits, vegetables, legumes, fish, and nuts. That said, you should listen to your body, and do what feels right and avoid thinking in terms of “good” or “bad” food. Just be aware of how different foods make you feel, and your mind will automatically tune into this over time and help you fight craving foods loaded with bad calories.
Question: What is the standard solution if one needs to model multiple languages?
Evidence: Neural language models BIBREF0 , BIBREF1 , BIBREF2 have become an essential component in several areas of natural language processing (NLP), such as machine translation, speech recognition and image captioning. They have also become a common benchmarking application in machine learning research on recurrent neural networks (RNN), because producing an accurate probabilistic model of human language is a very challenging task which requires all levels of linguistic analysis, from pragmatics to phonology, to be taken into account.
A typical language model is trained on text in a single language, and if one needs to model multiple languages the standard solution is to train a separate model for each language. This presupposes large quantities of monolingual data in each of the languages that needs to be covered and each model with its parameters is completely independent of any of the other models.
We propose instead to use a single model with real-valued vectors to indicate the language used, and to train this model with a large number of languages. We thus get a language model whose predictive distribution INLINEFORM0 is a continuous function of the language vector INLINEFORM1 , a property that is trivially extended to other neural NLP models. In this paper, we explore the “language space” containing these vectors, and in particular explore what happens when we move beyond the points representing the languages of the training corpus.
The motivation of combining languages into one single model is at least two-fold: First of all, languages are related and share many features and properties, a fact that is ignored when using independent models. The second motivation is data sparseness, an issue that heavily influences the reliability of data-driven models. Resources are scarce for most languages in the world (and also for most domains in otherwise well-supported languages), which makes it hard to train reasonable parameters. By combining data from many languages, we hope to mitigate this issue.
In contrast to related work, we focus on massively multilingual data sets to cover for the first time a substantial amount of the linguistic diversity in the world in a project related to data-driven language modeling. We do not presuppose any prior knowledge about language similarities and evolution and let the model discover relations on its own purely by looking at the data. The only supervision that is giving during training is a language identifier as a one-hot encoding. From that and the actual training examples, the system learns dense vector representations for each language included in our data set along with the character-level RNN parameters of the language model itself.
A typical language model is trained on text in a single language, and if one needs to model multiple languages the standard solution is to train a separate model for each language.
Answer: To train a separate model for each language.
Question: How many Anglo-Dutch wars were there?
Answer: There were six Anglo-Dutch wars between 1585 and 1604.
Question: Why were the majority of African countries controlled by military dictatorships during the 1970's and 1980's?
Evidence: Faced with increasingly frequent and severe violence, military rule was widely accepted by the population of many countries as means to maintain order, and during the 1970s and 1980s a majority of African countries were controlled by military dictatorships. Territorial disputes between nations and rebellions by groups seeking independence were also common in independent African states. The most devastating of these was the Nigerian Civil War, fought between government forces and an Igbo separatist republic, which resulted in a famine that killed 1–2 million people. Two civil wars in Sudan, the first lasting from 1955 to 1972 and the second from 1983 to 2005, collectively killed around 3 million. Both were fought primarily on ethnic and religious lines.
Answer: Military dictatorships were accepted as a means to maintain order in face of increasingly frequent and severe violence.
Question: What are some advantages of making a painting with acrylic instead of oil paint?
Answer: Here are some common advantages of acrylic paint:
1. Acrylic paints are flexible and suitable for a wide range of painting techniques
2. They do not require solvents, such as turpentine
3. Acrylic paints are mostly water based, which is easy to thin for building up layers of color or glazing
4. They can be applied opaquely to rapidly cover a large area of a painting with flat, even color
5. Acrylic paints can be applied to a painting surface in thin washes, similar to watercolors
6. Acrylic paint dries very quickly — and once dry, can be painted over to cover a mistake
7. Acrylic paint can be applied in a thick impasto style
Question: Is the document node first invented in the proposed approach？
Evidence: We represent a document as a statistical word co-occurrence network BIBREF18, BIBREF19 with a sliding window of size 2 overspanning sentences. Let us denote that graph $G(V,E)$. Each unique word in the preprocessed document is represented by a node in $G$, and an edge is added between two nodes if they are found together in at least one instantiation of the window. $G$ is directed and weighted: edge directions and weights respectively capture text flow and co-occurrence counts.
$G$ is a compact representation of its document. In $G$, immediate neighbors are consecutive words in the same sentence. That is, paths of length 2 correspond to bigrams. Paths of length more than 2 can correspond either to traditional $n$-grams or to relaxed $n$-grams, that is, words that never appear in the same sentence but co-occur with the same word(s). Such nodes are linked through common neighbors.
Master node. Inspired by BIBREF3, our $G$ also includes a special document node, linked to all other nodes via unit weight bi-directional edges. In what follows, let us denote by $n$ the number of nodes in $G$, including the master node.
Master node. Inspired by (Scarselli et al. 2008), our graph G also includes a special document node, linked to all other nodes via unit weight bi-directional edges.
Answer: No, it is inspired by (Scarselli et al. 2008).
Question: Which is a species of fish? Pitbull or Tuna
Answer: Tuna
Question: Where is Tamil language spoken?
Evidence: Tamil is a Dravidian language natively spoken by the Tamil people of South Asia. Tamil is an official language of the Indian state of Tamil Nadu, the sovereign nations of Sri Lanka and Singapore, and the Indian Union territory of Puducherry. Tamil is also spoken by significant minorities in the four other South Indian states of Kerala, Karnataka, Andhra Pradesh and Telangana, and the Union Territory of the Andaman and Nicobar Islands. It is also spoken by the Tamil diaspora found in many countries, including Malaysia, Myanmar, South Africa, United Kingdom, United States, Canada, Australia and Mauritius. Tamil is also natively spoken by Sri Lankan Moors. One of 22 scheduled languages in the Constitution of India, Tamil was the first to be classified as a classical language of India.
Answer: Tamil is a Dravidian language natively spoken by the Tamil people of South Asia. It is the official language of the Indian state of Tamil Nadu as well as the union territory Puducherry, as well as the sovereign nations of Sri Lanka and Singapore. Tamil is also spoken by significant minorities in the four other South Indian states of Kerala, Karnataka, Andhra Pradesh and Telangana, and the Union Territory of the Andaman and Nicobar Islands. It is also spoken by the Tamil diaspora found in many countries, including Malaysia, Myanmar, South Africa, United Kingdom, United States, Canada, Australia and Mauritius.
Question: How big is Switchboard-300 database?
Evidence: This study focuses on Switchboard-300, a standard 300-hour English conversational speech recognition task. Our acoustic and text data preparation follows the Kaldi BIBREF29 s5c recipe. Our attention based seq2seq model is similar to BIBREF30, BIBREF31 and follows the structure of BIBREF32.
This study focuses on Switchboard-300, a standard 300-hour English conversational speech recognition task.
Answer: The answers are shown as follows:
* 300-hour English conversational speech
Question: Which bears are the best bears?
Answer: It really depends what you mean by "best."  If you prefer smaller, less aggressive bears then black bears are best.  If you like big, ferocious bears that live in the mountains, then grizzly bears are the best bears.  If you like bears that are big, ferocious and live in arctic conditions, then polar bears are the best bears.  If you prefer cuddly bears, then a teddy bear is the best bear.
Question: Why are people eating eggs at Easter
Evidence: Easter eggs, also called Paschal eggs, are eggs that are decorated for the Christian feast of Easter, which celebrates the resurrection of Jesus. As such, Easter eggs are common during the season of Eastertide (Easter season). The oldest tradition, which continues to be used in Central and Eastern Europe, is to use dyed and painted chicken eggs.

Although eggs, in general, were a traditional symbol of fertility and rebirth, in Christianity, for the celebration of Eastertide, Easter eggs symbolize the empty tomb of Jesus, from which Jesus was resurrected. In addition, one ancient tradition was the staining of Easter eggs with the colour red "in memory of the blood of Christ, shed as at that time of his crucifixion."

This custom of the Easter egg, according to many sources, can be traced to early Christians of Mesopotamia, and from there it spread into Eastern Europe and Siberia through the Orthodox Churches, and later into Europe through the Catholic and Protestant Churches. Mediaevalist scholars normally conclude that the custom of Easter eggs has its roots in the prohibition of eggs during Lent after which, on Easter, they have been blessed for the occasion.

A modern custom in some places is to substitute chocolate eggs wrapped in coloured foil, hand-carved wooden eggs, or plastic eggs filled with confectionery such as chocolate.
Answer: Easter eggs, also called Paschal eggs, are eggs that are decorated for the Christian feast of Easter, which celebrates the resurrection of Jesus. As such, Easter eggs are common during the season of Eastertide (Easter season). The oldest tradition, which continues to be used in Central and Eastern Europe, is to use dyed and painted chicken eggs.

Although eggs, in general, were a traditional symbol of fertility and rebirth, in Christianity, for the celebration of Eastertide, Easter eggs symbolize the empty tomb of Jesus, from which Jesus was resurrected. In addition, one ancient tradition was the staining of Easter eggs with the colour red "in memory of the blood of Christ, shed as at that time of his crucifixion."

This custom of the Easter egg, according to many sources, can be traced to early Christians of Mesopotamia, and from there it spread into Eastern Europe and Siberia through the Orthodox Churches, and later into Europe through the Catholic and Protestant Churches. Mediaevalist scholars normally conclude that the custom of Easter eggs has its roots in the prohibition of eggs during Lent after which, on Easter, they have been blessed for the occasion.

A modern custom in some places is to substitute chocolate eggs wrapped in coloured foil, hand-carved wooden eggs, or plastic eggs filled with confectionery such as chocolate.
Question: Does "outbreeding" or "inbreeding" benefit the offspring more?
Evidence: Exogamy often results in two individuals that are not closely genetically related marrying each other; that is, outbreeding as opposed to inbreeding. In moderation, this benefits the offspring as it reduces the risk of the offspring inheriting two copies of a defective gene. Increasing the genetic diversity of the offspring improves the chances of offspring reproducing, up until the fourth-cousin level of relatedness; however, reproduction between individuals on the fourth-cousin level of relatedness decreases evolutionarily fitness.
Answer: "Outbreeding" is more beneficial to the offspring as it reduces the risk of inheriting defective genes, increasing the offspring's ability to reproduce.
Question: Think up some ways to pass the time on a long airplane flight.
Answer: Here are some ways to pass the time on an airplane flight:
1. Watch a TV show or a movie. Many subscription services allow downloading media for offline consumption. Alternatively, some airlines will offer complimentary movies and TV shows to watch.
2. Read a book. If you are using an e-reader, make sure to download books before the flight.
3. Listen to music or a podcast. Download your album or catch up on podcasts on your flight. This can help you relax until you arrive at your destination.
4. Sleep. This will pass the time quickly. If you have trouble sleeping in airplanes, consider using a travel pillow. This can also help energize you so you land ready for any activities you have planned.
Question: Is there really no speed limit on the German Autobahn?
Answer: While it is true that there are sections on the German Autobahn without any speed restrictions, most portions of the Autobahn have speed limits.  Speed limits often range from 80 km/hour to 120 km/hour.  When driving on the Autobahn be aware that speed limits can change with little notice.  You will find your fellow Autobahn users speeding up or slowing down rapidly depending on changes in the posted speed limit.  If this is your first time traveling on the Autobahn you should exercise caution as you might not have experienced driving in conditions with rapidly changing speed limits or with no speed limit at all.
Question: Extract from the text year in which Italy First was launched
Evidence: Italy First was launched as a "political association" in October 2013 by Gianni Alemanno, a former mayor of Rome (2008–2013) for the PdL. A long-time politician of the Italian Social Movement (MSI) and National Alliance (AN), within which he led the Social Right faction, Alemanno had left the PdL a few days earlier. The founding manifesto of Italy First included criticism of the PdL, its participation in the European People's Party and its compliance to Europeanism and economic liberalism. One of the first political campaigns of the new party was against the euro currency.
Answer: 2013
Question: Which is a species of fish? Snook or Sneak
Answer: Snook
Question: Is the queue refreshed before training on a new chunk?
Evidence: For data chunks fewer than 65,536 like DomainNet chunks, we store all samples of the current chunk for contrastive learning. In sequential training, the queue is refreshed before training on a new chunk
Answer: For data chunks fewer than 65,536 like DomainNet chunks, we store all samples of the current chunk for contrastive learning. In sequential training, the queue is refreshed before training on a new chunk.
Question: What NLI models do they analyze?
Evidence: To test the difficulty of our dataset, we checked the majority class label and the accuracies of five state-of-the-art NLI models adopting different approaches: BiMPM (Bilateral Multi-Perspective Matching Model; BIBREF31 , BIBREF31 ), ESIM (Enhanced Sequential Inference Model; BIBREF32 , BIBREF32 ), Decomposable Attention Model BIBREF33 , KIM (Knowledge-based Inference Model; BIBREF34 , BIBREF34 ), and BERT (Bidirectional Encoder Representations from Transformers model; BIBREF35 , BIBREF35 ). Regarding BERT, we checked the performance of a model pretrained on Wikipedia and BookCorpus for language modeling and trained with SNLI and MultiNLI. For other models, we checked the performance trained with SNLI. In agreement with our dataset, we regarded the prediction label contradiction as non-entailment.
To test the difficulty of our dataset, we checked the majority class label and the accuracies of five state-of-the-art NLI models adopting different approaches: BiMPM (Bilateral Multi-Perspective Matching Model; BIBREF31 , BIBREF31 ), ESIM (Enhanced Sequential Inference Model; BIBREF32 , BIBREF32 ), Decomposable Attention Model BIBREF33 , KIM (Knowledge-based Inference Model; BIBREF34 , BIBREF34 ), and BERT (Bidirectional Encoder Representations from Transformers model; BIBREF35 , BIBREF35 ). Regarding BERT, we checked the performance of a model pretrained on Wikipedia and BookCorpus for language modeling and trained with SNLI and MultiNLI.
Answer: The answers are shown as follows:
* BiMPM
* ESIM
* Decomposable Attention Model
* KIM
* BERT
Question: How big is QA-CTS task dataset?
Evidence: Our dataset is annotated based on Chinese pathology reports provided by the Department of Gastrointestinal Surgery, Ruijin Hospital. It contains 17,833 sentences, 826,987 characters and 2,714 question-answer pairs. All question-answer pairs are annotated and reviewed by four clinicians with three types of questions, namely tumor size, proximal resection margin and distal resection margin. These annotated instances have been partitioned into 1,899 training instances (12,412 sentences) and 815 test instances (5,421 sentences). Each instance has one or several sentences. Detailed statistics of different types of entities are listed in Table TABREF20.
Our dataset is annotated based on Chinese pathology reports provided by the Department of Gastrointestinal Surgery, Ruijin Hospital. It contains 17,833 sentences, 826,987 characters and 2,714 question-answer pairs. 
Answer: The answers are shown as follows:
* 17,833 sentences, 826,987 characters and 2,714 question-answer pairs
Question: What is the best seasoning for ribeye steak that will be grilled?
Answer: When seasoning ribeye steak that you will grill, simple seasoning is the best approach.  Simple means these four ingredients: sea salt, black pepper, granulated garlic and Maggi Seasoning.  Start by sprinkling the sea salt over both sides of the steak.  Next, sprinkle on the black pepper and granulated garlic on both sides.  Heat up your grill.  Once the grill is ready, place the steak on the grill.  Once you turn the steak, using a basting brush, baste on the Maggi Seasoning on the side that has been cooked.  Pull the steaks from the grill when they are done.  These simple ingredients will make a great tasting ribeye steak.
Question: Explain Business Intelligence
Answer: Business intelligence (BI) comprises of the strategies and technologies used by enterprises for the analysis of data and the management of business information.  Business Intelligence software is responsible for ingesting business data and presenting it in user-friendly formats such as reports, dashboards, charts and graphs.
Question: In which book would you find the manservant Pas Partout
Answer: Around the world in 80 days
Question: Based on the provided text, how many awards did the book "The Killing Jar" win and what year were they awarded?
Evidence: The Killing Jar (Chatto and Windus) is the debut novel of Nicola Monaghan, published in March 2006. It tells the story of Kerrie Ann Hill, a young girl growing up on a drug-ridden housing estate in Nottingham. Kerrie Ann meets an elderly neighbour when she's young, Mrs Ivanovich, an entomologist who teaches Kerrie about life, death, the Amazon rainforest and the miniature, alien world of insects. "Kez" struggles to look after her brother Jon, and hold things together as she's brought up by her junkie mum, Sue, and later, living with her boyfriend Mark as he becomes more and more involved with heroin and crack cocaine.

The book explores themes of metamorphosis, the highs and lows of drugs, and how people become trapped by poisoned environments, and what it takes to escape them.

Monaghan was included in The Independent's New Year list of "Rising Talent of 2006" and The Killing Jar made their 50 Hot Books for summer and Books of Year features. It went on to win a Betty Trask Award, The Authors' Club Best First Novel Award, and the Waverton Good Read Award.
Answer: The Killing Jar won 3 awards and they were awarded in 2006
Question: Give me 3 different things that a smartphone can do better than a landline phone
Answer: Ok, here are different things that a smartphone can do better than a landline phone.

1. It can run applications.
2. It can browse the internet.
3. It can play media such as music, videos and podcasts.