DataHammer/scimrc huggingface dataset:
Question: What is a CRM?
Answer: Customer relationship management is a process in which a business or other organization administers its interactions with customers, typically using data analysis to study large amounts of information.
Question: Write a self evaluation with the goal of getting a promotion.
Answer: During my time at this company, I have contributed to a number of high priority projects. These projects have impacted the performance of the overall company in a positive way. I shown teamwork and collaborated cross-functionally with many coworkers to complete important workstreams. My performance in all aspects have been high and the feedback from peers have been positive. Given my contributions to the team and company, I believe I should be considered for a promotion.
Question: Which episode of season two of Game of Thrones did Alik Sakharov direct?
Answer: Alik Sakharov directed the third episode of season 2 of Game of Thrones called "What is Dead May Never Die."
Question: Describe a plan for a road trip across Northern Italy
Answer: Begin your trip in Turin, an important centre of Piedmont with a rich cultural history and host of the 2006 Winter Olympics. Next, move to Alba and visit the vineyards, taking day trips to towns such as Barolo and Barbaresco. 

After this, you can continue moving east to Parma, a great place for the foodie searching for Prosciutto. Close by is Modena, home of the luxury automotive industry in Italy - Ferrari, Lamborghini, De Tomaso, Pagani and Maserati all have had (or still have) headquarters here.

Bologna is a fine place to finish your trip
Question: Which is India's 3rd Company which has crossed $100 billion market capitalization in Intraday trading?
Answer: HDFC Bank Ltd
Question: Give this paragraph about the Alley Cats a capella group, what famous talk show hosts have they performed for?
Evidence: The group originated in 1987, when a concert choir program was having a variety night occurring at Fullerton College. When John Tebay, the choir director, suggested that Andre Peek (1st tenor and lead vocalist at that time) and Armando Fonseca (2nd tenor) perform together, both of them decided to take Mr. Tebays advice and form a quartet, an a cappella group. Two additional members along the way, Royce Reynolds (bass) and Todd Dixon (baritone)got together and the foursome gained notice. Since then The Alley Cats have performed for many audiences, ranging from elementary school fun nights to being Grand.prize.winners on the Gong Show. Performing on the Arsenio Hall show to The Tonight Show with Jay Leno, as well as opening for Leno at his Las Vegas shows. The Alley Cats's sound has been heard as well at The White House. The Alley Cats appeared in the Richard Simmons workout video Dance Your Pants Off! performed the song Celebration.
Answer: Jay Leno and Arsenio Hall
Question: What is the stopping criteria for firefly?
Evidence: Stopping criterion: We stopped the firefly optimization when the latency of the best design found did not improve over the previous 1000 iterations, but we also made sure to run firefly optimization for at least 8000 iterations, to make sure that both the online and offline methods match in terms of the data budget. We also provide the convergence curves for firefly optimization on various single-application problems from Table 3 in Figure 9.
Answer: We have now added this detail to Appendix B.1.1 (paragraph called “Stopping criterion”). In our experiments we ran the Firefly optimizer for atleast 8000 iterations and performed early stopping if the optimal solution found by the optimizer had not changed over the last 1000 iterations. This would typically mean stopping at 8000 iterations, since solutions found by the optimizer plateau after 6000 iterations or so (see convergence curves in Figure 8). We also ran online optimization for 4× as longer (i.e., 32000 iterations) for the t-RNN Enc, t-RNN Dec and MobilenetEdge applications in Table 18 and found that this made minimal difference on the solution found by the firefly.
Question: what is love?
Answer: Love comes in many forms.  Love can be between persons, love can be for an animal, or love can be for something that is fun or enjoyable like reading or writing.  The feeling associated with love are often happiness, joy, fun and excitement.  Love between persons can be done by showing affection, thoughtfully communicating, or doing a shared activity together.  Love for an animal can be done by taking them for a walk or petting them.  Love for something that is fun can be done by doing that activity over and over again.  The opposite of love is hate and is associated more with feelings of despair.
Question: Who was chairman of the board of directors of Tesla as of March 2004?
Evidence: The company was incorporated as Tesla Motors, Inc. on July 1, 2003, by Martin Eberhard and Marc Tarpenning. Eberhard and Tarpenning served as CEO and CFO, respectively. Eberhard said he wanted to build "a car manufacturer that is also a technology company", with its core technologies as "the battery, the computer software, and the proprietary motor".

Ian Wright was Tesla's third employee, joining a few months later. In February 2004, the company raised $7.5 million in series A funding, including $6.5 million from Elon Musk, who had received $100 million from the sale of his interest in PayPal two years earlier. Musk became the chairman of the board of directors and the largest shareholder of Tesla. J. B. Straubel joined Tesla in May 2004 as chief technical officer.

A lawsuit settlement agreed to by Eberhard and Tesla in September 2009 allows all five – Eberhard, Tarpenning, Wright, Musk, and Straubel – to call themselves co-founders.
Answer: Elon Musk
Question: On what date was the country of Belize granted independence?
Answer: Belize was granted independence from the British Empire on September 21, 1981.
Question: What is Methode Traditionalle?
Answer: Methode Traditionalle is a method of producing sparkling wine. It was first created in 1531 and involves double fermentation of wine. The second fermentation creates carbon dioxide which creates the bubbles in the sparkling wine.
Question: In Record Embedding Layer, is the input elements of the high-level encoder ordered?
Evidence: As outlined in Section SECREF2, most previous work BIBREF28, BIBREF12, BIBREF13, BIBREF10, BIBREF29 make use of flat encoders that do not exploit the data structure. To keep the semantics of each element from the data-structure, we propose a hierarchical encoder which relies on two modules. The first one (module A in Figure FIGREF11) is called low-level encoder and encodes entities on the basis of their records; the second one (module B), called high-level encoder, encodes the data-structure on the basis of its underlying entities. In the low-level encoder, the traditional embedding layer is replaced by a record embedding layer as in BIBREF11, BIBREF12, BIBREF10. We present in what follows the record embedding layer and introduce our two hierarchical modules.
The first layer of the network consists in learning two embedding matrices to embed the record keys and values. Keys $k_{i,j}$ are embedded to $\mathbf {k}_{i,j} \in \mathbb {R}^{d}$ and values $v_{i,j}$ to $\mathbf {v}_{i,j} \in \mathbb {R}^{d}$, with $d$ the size of the embedding. As in previous work BIBREF11, BIBREF12, BIBREF10, each record embedding $\mathbf {r}_{i,j}$ is computed by a linear projection on the concatenation $[\mathbf {k}_{i,j}$; $\mathbf {v}_{i,j}]$ followed by a non linearity:
where $\mathbf {W}_r \in \mathbb {R}^{2d \times d}$ and $\mathbf {b}_r \in \mathbb {R}^{d}$ are learnt parameters.
The low-level encoder aims at encoding a collection of records belonging to the same entity while the high-level encoder encodes the whole set of entities. Both the low-level and high-level encoders consider their input elements as unordered. We use the Transformer architecture from BIBREF21. For each encoder, we have the following peculiarities:

the Low-level encoder encodes each entity $e_i$ on the basis of its record embeddings $\mathbf {r}_{i,j}$. Each record embedding $\mathbf {r}_{i,j}$ is compared to other record embeddings to learn its final hidden representation $\mathbf {h}_{i,j}$. Furthermore, we add a special record [ENT] for each entity, illustrated in Figure FIGREF11 as the last record. Since entities might have a variable number of records, this token allows to aggregate final hidden record representations $\lbrace \mathbf {h}_{i,j}\rbrace _{j=1}^{J_i}$ in a fixed-sized representation vector $\mathbf {h}_{i}$.
the High-level encoder encodes the data-structure on the basis of its entity representation $\mathbf {h}_{i}$. Similarly to the Low-level encoder, the final hidden state $\mathbf {e_i}$ of an entity is computed by comparing entity representation $\mathbf {h}_{i}$ with each others. The data-structure representation $\mathbf {z}$ is computed as the mean of these entity representations, and is used for the decoder initialization.
Both the low-level and high-level encoders consider their input elements as unordered.
Answer: No.
Question: What is the best way to clean a cast iron pan that is heavily soiled?
Answer: Use a scrub brush or scrub sponge, but not one with any kind of metal in it. Contrary to popular opinion, you should be able to use soap if your pan is properly seasoned, because proper seasoning results from polymerization of oils across and to the pan itself, rather than just oil sitting on the surface of the pan. If necessary, you can re-season the pan, but this is usually excessive.
Question: Who is Solveig Margrete Fiske
Evidence: Solveig Margrete Fiske (born 26 October 1952) is a theologian and bishop emerita in the Church of Norway, serving as the bishop of Hamar between 2006 and 2022, when she retired.

Originally from Frei in Møre og Romsdal, she graduated from the Free Faculty of Theology (now the MF Norwegian School of Theology) in 1980, and completed her practical examinations there in 1981. She briefly worked as a consultant for the Church Council in 1981, followed by an assignment to the parish in Elverum as a chaplain between 1982 and 1994. In 1994, she became the parish priest in Løten, a position she held for 12 years.
Answer: Solveig Margrete Fiske (born 26 October 1952) is a theologian and bishop emerita in the Church of Norway, serving as the bishop of Hamar between 2006 and 2022, when she retired.
Question: What are some things that I could gift a curious toddler?
Answer: Toddlers are at an age where they are very curious and are learning by observing and playing with things around them. Some toys that you could gift a curious toddler are:
* Building blocks
* Picture books
* Simple puzzles
* A scooter
* Toys that play nursery rhymes
* Balls of different sizes
* Bubble gun
... and many more.
Question: What is another name for downhill skiing?
Answer: Downhill skiing is also known as alpine skiing
Question: What is the state capital of Nevada?
Answer: The state capital of Nevada is Carson City. Carson City is named after Kit Carson and was founded in 1858.
Question: What is a woodwind instrument?
Answer: Woodwind instruments are a family of musical instruments that produce sound by splitting the air blown on a sharp edge, such as a reed. These instruments can be made of any materials, not just wood.
Question: What does the author propose to detect discrete emotions in a tweet dataset?
Evidence: There have been many advances in machine learning methods which help machines understand human behavior better than ever. One of the most important aspects of human behavior is emotion. If machines could detect human emotional expressions, it could be used to improve on verity of applications such as marketing BIBREF0 , human-computer interactions BIBREF1 , political science BIBREF2 etc.
Emotion in humans is complex and hard to distinguish. There have been many emotional models in psychology which tried to classify and point out basic human emotions such as Ekman's 6 basic emotions BIBREF3 , Plutchik's wheel of emotions BIBREF4 , or Parrott's three-level categorization of emotions BIBREF5 . These varieties show that emotions are hard to define, distinguish, and categorize even for human experts.
By adding the complexity of language and the fact that emotion expressions are very complex and context dependant BIBREF6 , BIBREF7 , BIBREF8 , we can see why detecting emotions in textual data is a challenging task. This difficulty can be seen when human annotators try to assign emotional labels to the text, but using various techniques the annotation task can be accomplished with desirable agreement among the annotators BIBREF9 .
Based on this assumption we propose a deep recurrent neural network architecture to detect discrete emotions in a tweet dataset. The code can be accessed at GitHub [https://github.com/armintabari/Emotion-Detection-RNN].
Answer: A deep recurrent neural network architecture.
Question: What types of problems in government could AI be used to solve
Evidence: The potential uses of AI in government are wide and varied, with Deloitte considering that "Cognitive technologies could eventually revolutionize every facet of government operations". Mehr suggests that six types of government problems are appropriate for AI applications:
- Resource allocation - such as where administrative support is required to complete tasks more quickly.
- Large datasets - where these are too large for employees to work efficiently and multiple datasets could be combined to provide greater insights.
- Experts shortage - including where basic questions could be answered and niche issues can be learned.
- Predictable scenario - historical data makes the situation predictable.
- Procedural - repetitive tasks where inputs or outputs have a binary answer.
- Diverse data - where data takes a variety of forms (such as visual and linguistic) and needs to be summarised regularly.
Answer: The potential uses of AI in government are wide and varied but some appropriate areas to consider AI applications include: Resource allocation; Large datasets; Repetitive tasks; Answering basic questions; Summarising data from multiple forms; Predicting future scenarios based on historical data.
Question: What is a dispersive prism?
Evidence: In optics, a dispersive prism is an optical prism that is used to disperse light, that is, to separate light into its spectral components (the colors of the rainbow). Different wavelengths (colors) of light will be deflected by the prism at different angles. This is a result of the prism material's index of refraction varying with wavelength (dispersion). Generally, longer wavelengths (red) undergo a smaller deviation than shorter wavelengths (blue). The dispersion of white light into colors by a prism led Sir Isaac Newton to conclude that white light consisted of a mixture of different colors.
Answer: A dispersive prism is an optical prism that disperses the light's different wavelengths at different angles. When white light is shined through a dispersive prism it will separate into the different colors of the rainbow.
Question: What is a piano?
Answer: A piano is a keyboard instrument that uses wooden hammers to strike a string which produces a sound.  The hammers on a piano are coated with a soft material so they do not damage the string they hit when a keyboard key is pressed.  You have to play this keyboard instrument with one or two hands in sync on a keyboard and then the keys hit in unified succession you get music or a string of sounds that is enjoyable to listen to.
Question: Best place to visit in the world
Answer: 1. Switzerland
2. Maldives
3, Hawaii
Question: What is an exacta?
Answer: An exacta is a horse racing bet. It is when you bet on two horses to come in first place and second place consecutively in a given race. You are able to make the bet on almost all races. The payout will depend on the horses odds at the time the race has begun.
Question: Where can I learn more about Kubernetes?
Answer: The Kubernetes docs themselves are very good - https://kubernetes.io/. Many folks also enjoy course material from Coursera or Udemy - such as this course from Mumshad https://www.udemy.com/course/certified-kubernetes-administrator-with-practice-tests/
Question: What is Cadoo?
Evidence: Cadoo: a children's version of the game that has some elements of tic-tac-toe. Sold between October 2007 and January 2008, Cadoo units were recalled in January 2008 by the U.S. Consumer Product Safety Commission because "the surface paint on the die contains excessive levels of lead, violating the federal lead paint standard."
Answer: Cadoo is a children version of the Cranium party game. It has some elements of tic-tac-toe, a decoding glass, and a pile of cards that the player can draw from and performing actions accordingly. The game was sold between October 2007 and January 2008. However, it was recalled by the U.S. Consumer Product Safety Commission "the surface paint on the die contains excessive levels of lead, violating the federal lead paint standard."
Question: What are the careers of your dream?
Answer: Professional Baseball Player, astronaut, president of the United States, actor, singer, CEO of major tech company, fighter pilot, nascar driver, artist
Question: What is discrete manufacturing?
Answer: Discrete manufacturing is a branch of manufacturing where finished goods are distinct and can be easily counted. Discrete manufacturing uses various manufacturing processes like rolling, milling, cutting and assembly in order to produce the finished product. Examples of products due to discrete manufacturing include cars, furniture, televisions and aeroplanes.
Question: Give me some examples of spoonerisms.
Answer: Spoonerisms are where the first one or two letters of a word are transposed with another word to create two new words with another meaning. Some examples of this are "boiled icicle", "bunny phone" or "must tree".
Question: what amounts of size were used on german-english?
Evidence: We use the TED data from the IWSLT 2014 German INLINEFORM0 English shared translation task BIBREF38 . We use the same data cleanup and train/dev split as BIBREF39 , resulting in 159000 parallel sentences of training data, and 7584 for development.
To simulate different amounts of training resources, we randomly subsample the IWSLT training corpus 5 times, discarding half of the data at each step. Truecaser and BPE segmentation are learned on the full training corpus; as one of our experiments, we set the frequency threshold for subword units to 10 in each subcorpus (see SECREF7 ). Table TABREF14 shows statistics for each subcorpus, including the subword vocabulary.
FLOAT SELECTED: Table 1: Training corpus size and subword vocabulary size for different subsets of IWSLT14 DE→EN data, and for KO→EN data.
We use the TED data from the IWSLT 2014 German INLINEFORM0 English shared translation task BIBREF38 . We use the same data cleanup and train/dev split as BIBREF39 , resulting in 159000 parallel sentences of training data, and 7584 for development.
Table TABREF14 shows statistics for each subcorpus, including the subword vocabulary.
FLOAT SELECTED: Table 1: Training corpus size and subword vocabulary size for different subsets of IWSLT14 DE→EN data, and for KO→EN data.
Answer: Training data with 159000, 80000, 40000, 20000, 10000 and 5000 sentences, and 7584 sentences for development
Question: How do the approaches stack in terms of median/average count in the new experiments?
Evidence: Results: Table 1 reports attack success rates and median query counts, and Fig. 2 plots cumulative success counts against the maximum queries spent per example (CDFs, modulo normalisation).
Answer: We sometimes provide medians as summary statistics (as in Table 1) to aid the digestion of large amounts of information across competing methods. However, the chosen summary statistic is inherently arbitrary: the CDF curves are the main results and should be treated as such.
Question: Classify each of the Pokémon characters into different types.
Answer: Normal, Fire, Water, Grass, Electric, Ice, Fighting, Poison, Ground, Flying, Psychic, Bug, Rock, Ghost, Dark, Dragon, Steel, Fairy.
Question: What is the difference between a clan and a tribe
Evidence: In different cultures and situations, a clan usually has different meaning than other kin-based groups, such as tribes and bands. Often, the distinguishing factor is that a clan is a smaller, integral part of a larger society such as a tribe, chiefdom, or a state. In some societies, clans may have an official leader such as a chief, matriarch or patriarch; or such leadership role is performed by elders. In others, leadership positions may have to be achieved.

The term tribe is used in many different contexts to refer to a category of human social group. The predominant worldwide usage of the term in English is in the discipline of anthropology. Its definition is contested, in part due to conflicting theoretical understandings of social and kinship structures, and also reflecting the problematic application of this concept to extremely diverse human societies. The concept is often contrasted by anthropologists with other social and kinship groups, being hierarchically larger than a lineage or clan, but smaller than a chiefdom, nation or state. These terms are equally disputed. In some cases tribes have legal recognition and some degree of political autonomy from national or federal government, but this legalistic usage of the term may conflict with anthropological definitions.

In the United States, Native American tribes are legally considered to have "domestic dependent nation" status within the territorial United States, with a government-to-government relationship with the federal government.
Answer: In different cultures and situations, a clan usually has different meaning than other kin-based groups, such as tribes and bands. Often, the distinguishing factor is that a clan is a smaller, integral part of a larger society such as a tribe, chiefdom, or a state. In some societies, clans may have an official leader such as a chief, matriarch or patriarch; or such leadership role is performed by elders. In others, leadership positions may have to be achieved.

The term tribe is used in many different contexts to refer to a category of human social group. The predominant worldwide usage of the term in English is in the discipline of anthropology. Its definition is contested, in part due to conflicting theoretical understandings of social and kinship structures, and also reflecting the problematic application of this concept to extremely diverse human societies. The concept is often contrasted by anthropologists with other social and kinship groups, being hierarchically larger than a lineage or clan, but smaller than a chiefdom, nation or state. These terms are equally disputed. In some cases tribes have legal recognition and some degree of political autonomy from national or federal government, but this legalistic usage of the term may conflict with anthropological definitions.

In the United States, Native American tribes are legally considered to have "domestic dependent nation" status within the territorial United States, with a government-to-government relationship with the federal government.
Question: Who was the president of China before Xi?
Answer: It's Jingtao Hu. He was the president of China from 2003 to 2013.
Question: What is the longest floating bridge in the world?
Answer: The 520 Bridge (Evergreen Point) in Washington State is the longest floating bridge in the world
Question: What is called a Capital charge in finance?
Answer: If a unit trust manager takes the management charges out of the fund's capital instead of the income it has generated, it is called a capital charge.
Question: How many vaccines should I get, if a dog bites me?
Answer: There is no common number that applies to all, so you should immediately seek medical assistance. And then, based on the severity of the bite, your health provider can recommend the number of vaccines, along with any other treatment.