DataHammer/scimrc huggingface dataset:
Question: Which datasets are used to evaluate performance?
Evidence: We first test our model on the single domain dataset, WoZ2.0 BIBREF19 . It consists of 1,200 dialogues from the restaurant reservation domain with three pre-defined slots: food, price range, and area. Since the name slot rarely occurs in the dataset, it is not included in our experiments, following previous literature BIBREF3 , BIBREF20 . Our model is also tested on the multi-domain dataset, MultiWoZ BIBREF9 . It has a more complex ontology with 7 domains and 25 predefined slots. Since the combined slot-value pairs representation of the belief states has to be applied for the model with $O(n)$ ITC, the total number of slots is 35. The statistics of these two datsets are shown in Table 2 .
We first test our model on the single domain dataset, WoZ2.0 BIBREF19 . It consists of 1,200 dialogues from the restaurant reservation domain with three pre-defined slots: food, price range, and area. Since the name slot rarely occurs in the dataset, it is not included in our experiments, following previous literature BIBREF3 , BIBREF20 . Our model is also tested on the multi-domain dataset, MultiWoZ BIBREF9 . It has a more complex ontology with 7 domains and 25 predefined slots. Since the combined slot-value pairs representation of the belief states has to be applied for the model with $O(n)$ ITC, the total number of slots is 35. 
Answer: The answers are shown as follows:
* the single domain dataset, WoZ2.0 
* the multi-domain dataset, MultiWoZ
Question: Who is the author of the Sound and the Fury
Answer: The Sound and the Fury is written by William Faulkner
Question: How many variants do the authors use?
Evidence: Out of nearly 7000 languages spoken worldwide, current speech (ASR, TTS, voice search, etc.) technologies barely address 200 of them. Broadening ASR technologies to ideally all possible languages is a challenge with very high stakes in many areas and is at the heart of several fundamental research problems ranging from psycholinguistic (how humans learn to recognize speech) to pure machine learning (how to extract knowledge from unlabeled data). The present work focuses on the narrow but important problem of unsupervised Acoustic Unit Discovery (AUD). It takes place as the continuation of an ongoing effort to develop a Bayesian model suitable for this task, which stems from the seminal work of BIBREF0 later refined and made scalable in BIBREF1 . This model, while rather crude, has shown that it can provide a clustering accurate enough to be used in topic identification of spoken document in unknown languages BIBREF2 . It was also shown that this model can be further improved by incorporating a Bayesian "phonotactic" language model learned jointly with the acoustic units BIBREF3 . Finally, following the work in BIBREF4 it has been combined successfully with variational auto-encoders leading to a model combining the potential of both deep neural networks and Bayesian models BIBREF5 . The contribution of this work is threefold:
In this work, we have used two variants of this original model.
Answer: Two.
Question: Extract from the text the films that the actor Paul Harvey participated in. Separate them with a comma.
Evidence: Primarily a character actor, Harvey began his career on stage and in silent films. He appeared in the Broadway and original film versions of The Awful Truth, then had supporting roles in many Hollywood films, often portraying dignified executives or pompous authority figures.

He was a vacationing businessman whose car is commandeered by fugitive killer Humphrey Bogart in the 1936 crime drama The Petrified Forest and the minister who marries Spencer Tracy's daughter Elizabeth Taylor in the 1950 comedy Father of the Bride and baptizes her baby in its sequel. In the thriller Side Street, Harvey played a married man forced to pay $30,000 in blackmail money after having an affair.

Besides his numerous films, Harvey appeared in 1950s television series such as I Love Lucy, December Bride, My Little Margie, Father Knows Best and The George Burns and Gracie Allen Show before his death from a coronary thrombosis in 1955.
Answer: The Awful Truth, The Petrified Forest, Father of the Bride, Side Street.
Question: Who developed Pilates?
Evidence: Pilates is a type of mind-body exercise developed in the early 20th century by German physical trainer Joseph Pilates, after whom it was named. Pilates called his method "Contrology". It is practiced worldwide, especially in countries such as Australia, Canada, South Korea, the United States and the United Kingdom. As of 2005, approximately 11 million people were practicing the discipline regularly, and there were 14,000 instructors in the US.Pilates was developed by Joseph Pilates from Mönchengladbach, Germany. His father was a gymnast and his mother a naturopath.
Answer: Pilates was developed by Joseph Pilates in the early 20th century, and he lived in Monchengladbach, Germany.
Question: Identify the bird from the list: Black mamba, Black grouse, Black magic
Answer: Black grouse
Question: What's the different between a plantain and a banana?
Answer: Plantains are a type of banana, which are a family edible fruits from the genus Musa. In the West, "bananas" refer the sweet, yellow type. Plantains are a starchy variety that are typically cooked.
Question: Given this paragraph about magnesium, what is the element symbol of magnesium?
Evidence: Magnesium is a chemical element with the symbol Mg and atomic number 12. It is a shiny gray metal having a low density, low melting point and high chemical reactivity. Like the other alkaline earth metals (group 2 of the periodic table) it occurs naturally only in combination with other elements and it almost always has an oxidation state of +2. It reacts readily with air to form a thin passivation coating of magnesium oxide that inhibits further corrosion of the metal. The free metal burns with a brilliant-white light. The metal is obtained mainly by electrolysis of magnesium salts obtained from brine. It is less dense than aluminium and is used primarily as a component in strong and lightweight alloys that contain aluminium.
Answer: Mg is the element symbol of magnesium.
Question: What is the history of the national commission for aerospace research and development
Evidence: The National Commission for Aerospace Research and Development (CONIDA) (Spanish: Comisión Nacional de Investigación y Desarrollo Aeroespacial) is a national space agency tasked with government space activities in Peru.

History
CONIDA was founded on 11 June 1974 following Decree Law 20643, designated to be an entity subordinate to then the Ministry of Aeronautics, which was later merged into the Ministry of Defense.

Peru joined the Asia-Pacific Space Cooperation Organization on 28 October 2005.
Answer: The National Commission for Aerospace Research and Development (CONIDA) is a national space agency tasked with government space activities in Peru.

CONIDA was founded on 11 June 1974 following Decree Law 20643, designated to be an entity subordinate to then the Ministry of Aeronautics, which was later merged into the Ministry of Defense.

Peru joined the Asia-Pacific Space Cooperation Organization on 28 October 2005.
Question: Did they experiment with tasks other than word problems in math?
Evidence: To test this hypothesis we first trained UG-WGAN in English, Chinese and German following the procedure described in Section "UG-WGAN" . The embedding size of the table was 300 and the internal LSTM hidden size was 512. A dropout rate of $0.1$ was used and trained with the ADAM optimization method BIBREF23 . Since we are interested in the zero-shot capabilities of our representation, we trained our sentiment analysis model only on the english IMDB Large Movie Review dataset and tested it on the chinese ChnSentiCorp dataset and german SB-10K BIBREF24 , BIBREF25 . We binarize the label's for all the datasets.
A natural language inference task consists of two sentences; a premise and a hypothesis which are either contradictions, entailments or neutral. Learning a NLI task takes a certain nuanced understanding of language. Therefore it is of interest whether or not UG-WGAN captures the necessary linguistic features. For this task we use the Stanford NLI (sNLI) dataset as our training data in english BIBREF29 . To test the zero-shot learning capabilities we created a russian sNLI test set by random sampling 400 sNLI test samples and having a native russian speaker translate both premise and hypothesis to russian. The label was kept the same.
 Since we are interested in the zero-shot capabilities of our representation, we trained our sentiment analysis model only on the english IMDB Large Movie Review dataset and tested it on the chinese ChnSentiCorp dataset and german SB-10K BIBREF24 , BIBREF25 .
A natural language inference task consists of two sentences; a premise and a hypothesis which are either contradictions, entailments or neutral. Learning a NLI task takes a certain nuanced understanding of language. Therefore it is of interest whether or not UG-WGAN captures the necessary linguistic features. 
Answer: They experimented with sentiment analysis and natural language inference task
Question: What is guitar amp modeling?
Answer: Guitar amp modeling is a digital technology for reproducing the sound and feel of playing guitar through physical amplifiers.  This technology may be embodied in a piece of outboard gear, or as a software plugin for a digital audio workstation.  In recent years, guitar amp modeling has advanced to the point of being difficult to discern by ear from the sound of the amplifiers being modeled.  Some brands associated with advanced guitar amp modeling include Line 6, Fractal Audio, and Neural DSP.
Question: How much important is the visual grounding in the learning of the multilingual representations?
Evidence: FLOAT SELECTED: Table 1: Crosslingual semantic similarity scores (Spearman’s ρ) across six subtasks for ImageVec (our method) and previous work. Coverage is in brackets. The last column indicates the combined score across all subtasks. Best scores on each subtask are bolded.
FLOAT SELECTED: Table 1: Crosslingual semantic similarity scores (Spearman’s ρ) across six subtasks for ImageVec (our method) and previous work. Coverage is in brackets. The last column indicates the combined score across all subtasks. Best scores on each subtask are bolded.
Answer: performance is significantly degraded without pixel data
Question: What is the Mile of Music?
Answer: The Mile of Music is an annual 4-day music festival held in Appleton, WI.  Started in 2013, each year of the festival increments an additional 'mile,' so 2023 will be celebrating Mile 10.  The artists that perform are typically up-and-coming artists who only play original music at the festival. Sets tend to be about an hour long, and they are hosted throughout the approximate 1-mile stretch of downtown Appleton on College Avenue at various coffee shops, bars, restaurants and parks.  A wide range of musical genres have been represented, including: rock, country, jazz, folk,  hip hop and circus punk.  Some performers come from the local area, such as Kyle Megna and The Monsoons.  Others are more regional performers, like Bascom Hill.  But many performers come from across the country, and have performed on multiple 'Miles', such as Chestnut Grove, The Quiet Hollers and Jamie Kent. Repeat bands often feel famous during the four days of the festival, leading Jamie Kent to write his song 'Famous (in Appleton)'.  In conjunction with the music festival, an annual supported bike ride was launched called Bike to the Beat.  Riders can stop at several locations along routes of various distances to get refreshments and hear performers from the festival.
Question: What is exchange rate?
Evidence: In finance, an exchange rate is the rate at which one currency will be exchanged for another currency. Currencies are most commonly national currencies, but may be sub-national as in the case of Hong Kong or supra-national as in the case of the euro.
Answer: Exchange rate is the rate at which one currency will be exchanged at for another currency. Most countries have their own national currency. However, some currency are sub-national such as Hong Kong; some are supra-national such as the euro.
Question: Identify which animal is domesticated or wild: Silkmoth, Roman snail
Answer: Silkmouth is domesticated, Roman snail is wild.
Question: Why is selling stocks short a high risk investment technique
Answer: Short selling stocks is a high risk technique as you are betting that a stock will go down in value and the downside risk is essentially unlimited.  When you buy a stock "long" you know the stock can "only" go to (0) so your risk is what you invested, when you are selling a stock "short" the stock has no limit to far it can go up and therefore how much money you can lose.
Question: What is The Hobbit?
Evidence: The Hobbit, or There and Back Again is a children's fantasy novel by English author J. R. R. Tolkien. It was published in 1937 to wide critical acclaim, being nominated for the Carnegie Medal and awarded a prize from the New York Herald Tribune for best juvenile fiction. The book is recognized as a classic in children's literature, and is one of the best-selling books of all time with over 100 million copies sold.
Answer: The Hobbit, or There and Back Again is a children's fantasy novel by English author J. R. R. Tolkien. It was published in 1937 to wide critical acclaim, being nominated for the Carnegie Medal and awarded a prize from the New York Herald Tribune for best juvenile fiction. The book is recognized as a classic in children's literature, and is one of the best-selling books of all time with over 100 million copies sold.

The Hobbit is set in Middle-earth and follows home-loving Bilbo Baggins, the titular hobbit, who joins the wizard Gandalf and thirteen dwarves that make up Thorin Oakenshield's Company, on a quest to reclaim the dwarves' home and treasure from the dragon Smaug. Bilbo's journey takes him from his peaceful rural surroundings into more sinister territory.

The story is told in the form of an episodic quest, and most chapters introduce a specific creature or type of creature of Tolkien's geography. Bilbo gains a new level of maturity, competence, and wisdom by accepting the disreputable, romantic, fey, and adventurous sides of his nature and applying his wits and common sense. The story reaches its climax in the Battle of Five Armies, where many of the characters and creatures from earlier chapters re-emerge to engage in conflict.

Personal growth and forms of heroism are central themes of the story, along with motifs of warfare. These themes have led critics to view Tolkien's own experiences during World War I as instrumental in shaping the story. The author's scholarly knowledge of Germanic philology and interest in mythology and fairy tales are often noted as influences.

The publisher was encouraged by the book's critical and financial success and, therefore, requested a sequel. As Tolkien's work progressed on its successor, The Lord of the Rings, he made retrospective accommodations for it in The Hobbit. These few but significant changes were integrated into the second edition. Further editions followed with minor emendations, including those reflecting Tolkien's changing concept of the world into which Bilbo stumbled.

The work has never been out of print. Its ongoing legacy encompasses many adaptations for stage, screen, radio, board games, and video games. Several of these adaptations have received critical recognition on their own merits.
Question: In what way does the team better understand the remaining shortcomings of the approach?
Evidence: Here we study the errors produced by our system on the English test set to better understand the remaining shortcomings of the approach. A small portion of the wrong predictions point to an incorrect interpretation of the morpho-syntactic conditioning of the context, e.g. the system predicted plan instead of plans in the context Our _ include raising private capital. The majority of wrong predictions, however, are nonsensical, like bomb for job, fify for fixing, and gnderrate for understand. This observation suggests that generally the system did not learn to copy the characters of lemma into inflected form, which is all it needs to do in a large number of cases. This issue could be alleviated with simple data augmentation techniques that encourage autoencoding BIBREF2 .
Here we study the errors produced by our system on the English test set to better understand the remaining shortcomings of the approach.
Answer: They study the errors produced by their system on the English test set to better understand the remaining shortcomings of the approach.
Question: Give a list of the different kinds of fire trucks that exist.
Answer: How firefighting trucks and equipment are classified varies from country to country but in the United States there are a few general categories of fire trucks. Fire Engines are what most people think of when they think of a fire truck. It has a combination of hoses, ladders, and other equipment but also carries several hundred gallons of water and has a built in pump to feed that hoses from it's internal tank or from a hydrant. There are Ladder Trucks which typically have a large extending ladder on top. These may or may not carry water but also generally have a built in pump to feed water to the nozzle attached to the ladder. There are Rescue Trucks which typically have specialized equipment for unique rescue situations such as confined space, vehicle extrication, or collapsed building rescue. These typically don't carry water or pumps but there are a few jurisdictions that have Rescue Engines that blend these two. There are also Tanker trucks that carry large amounts of water to areas where there are no hydrants and they typically do not have their own pumps or hoses. They serve primarily as a water supply to other trucks.
Question: What are some of the best TV shows on HBO?
Answer: HBO is famous for its award-winning TV shows, with some of the most critically successful and popular shows being the Sopranos, The Wire, Succession, The White Lotus, Game of Thrones (and its sequel show, House of the Dragon). Most recently, the Last of Us, a post-apocalyptic series based on the award winning video game, set viewership records on the HBO GO platform.
Question: What are some common wilderness and survival skills?
Answer: Some common survival skills are ones that do not rely on carrying specific equipment but do require a working knowledge of prior to being stranded int he wilderness. Being able to use a map and compass is top of mind, as if you are lost ,finding your way back to civilization in short order is critical, particularly if you have little to no supplies. Being able to create shelter in adverse weather is also necessary, as humans exposed to harsh elements to extended periods have a smaller chance of survival. Since food and water are also paramount to survival, understanding your best chances on locating water that is safe to drink or that can be purified using natural resources is a skill set most would consider critical; almost equally, knowing what in nature is edible for foraging will help fuel someone. An example is being able to identify which mushrooms or berries are safe versus toxic. Lastly, being able to monitor one's own vital signs to avoid situations like hypothermia are important, because hypothermia is considered a "silent killer."
Question: Give me a numbered list of all chapters' title from the book, "12 Rules for Life" by Jordan B Peterson.
Answer: 1. Stand up straight with your shoulders back.
2. Treat yourself like you are someone you are responsible for helping.
3. Make friends with people who want the best for you.
4. Compare yourself to who you were yesterday, not to who someone else is today.
5. Do not let your children do anything that makes you dislike them.
6. Set your house in perfect order before you criticize the world.
7. Pursue what is meaningful (not what is expedient).
8. Tell the truth – or, at least, don't lie.
9. Assume that the person you are listening to might know something you don't.
10. Be precise in your speech.
11. Do not bother children while they are skateboarding.
12. Pet a cat when you encounter one in the street.
Question: What do they demonstrate the presence of emotion words as?
Evidence: Gates Recurrent Neural Network (GRU) BIBREF0 , BIBREF1 and attention layer are used in sequential NLP problems and successful results are reported in different studies. Figure FIGREF11 shows the diagram of our model. 
GRU- has been widely used in the literature to model sequential problems. RNN applies the same set of weights recursively as follow: DISPLAYFORM0 
GRU is very similar to LSTM with the following equations: DISPLAYFORM0 DISPLAYFORM1 
GRU has two gates, a reset gate INLINEFORM0 , and an update gate INLINEFORM1 . Intuitively, the reset gate determines how to combine the new input with the previous memory, and the update gate defines how much of the previous memory to keep around. We use Keras GRNN implementation to setup our experiments. We note that GRU units are a concatenation of GRU layers in each task.
Attention layer - GRUs update their hidden state h(t) as they process a sequence and the final hidden state holds the summation of all other history information. Attention layer BIBREF2 modifies this process such that representation of each hidden state is an output in each GRU unit to analyze whether this is an important feature for prediction.
Model Architecture - our model has an embedding layer of 300 dimensions using fasttext embedding, and 1024 dimensions using ELMo BIBREF3 embedding. GRU layer has 70 hidden unites. We have 3 perceptron layers with size 300. Last layer is a softmax layer to predict emotion tags. Textual information layers (explained in section SECREF8 ) are concatenated with GRU layer as auxiliary layer. We utilize a dropout BIBREF4 layer after the first perceptron layer for regularization.
We demonstrate the presence of emotion words as an 8 dimension feature, presenting all 8 emotion categories of the NRC lexicon.
Answer: An 8 dimension feature, presenting all 8 emotion categories of the NRC lexicon.
Question: What is Russia-Ukraine Conflict?
Evidence: The Russo-Ukrainian War is an ongoing international conflict between Russia, alongside Russian-backed separatists, and Ukraine, which began in February 2014. Following Ukraine's Revolution of Dignity, Russia annexed Crimea from Ukraine and supported pro-Russian separatists fighting the Ukrainian military in the Donbas war. The first eight years of conflict also included naval incidents, cyberwarfare, and heightened political tensions. In February 2022, Russia launched a full-scale invasion of Ukraine.
Answer: The decision by Ukraine to move toward stronger connections with the European Union, which was opposed by Russia, set off the Russo-Ukrainian War, which started in 2014. The majority of the fighting has been in Ukraine's east, where pro-Russian separatists have proclaimed independent republics. With the backing of Western nations, the Ukrainian government has fought to retake control of these regions. Thousands of people have died as a result of the fighting, including military troops and civilians, and it has significantly impacted Ukraine's humanitarian situation. Access to essential necessities including food, water, and healthcare is a problem for many individuals. Several nations have condemned the fighting, and the United States and the European Union have imposed economic penalties on