DataHammer/scimrc huggingface dataset:
Question: What are some pro tips when cold calling?
Answer: Cold calling is more art than science. The primary mistake people make when cold calling is in defining what success looks like.  For most sales roles, the goal of a cold call is to establish rapport, not to book an order.  Think about it - when was the last time you purchased something by phone the first time you were contacted?  Odds are that several follow ups were required before you were ready to buy, no matter how qualified a buyer you appeared to be.  

Establishing rapport means getting your prospect to open up, because he/she has determined that you are worth the time to do so.  So the keys to establishing rapport are simple:  be courteous and respectful, provide appropriate context, and be OPEN.   Let's consider each of these individually.  First, courtesy and respect- after briefly introducing yourself, ask the prospect if now is a good time to talk for a few minutes?  We've all experienced the annoyance of a caller who dives right into the conversation immediately after hearing a "hello".  Be respectful of your prospect's schedule and give him/her an "out."  If it's not a good time, you're not going to have a successful call no matter what you try.  

Next, provide appropriate context.  Don't assume he/she knows nothing about what you are trying to sell. If that were the case, this prospect wouldn't be a very good target for you! Prepare a short introductory statement that can be delivered in a genuine way with a friendly tone.  For example, "I'm with ACME Mobile Window Repair and wanted to share some spring promotions with you - have you seen our trucks around your neighborhood?"  Setting context will help build rapport by providing a clear understanding of why you are calling, and what you hope to get out of the conversation.  Successful sales people are very comfortable with the fact that they are trying to sell something.  Own it, but do so in a low key and friendly way, and this will help lower the defenses of your prospect if he/she sounds guarded

Lastly, be open.  This means open to going off script, open to hearing about competition or open to negative impressions of what you're selling.  An open dialogue allows room for questions, both from you and from your prospect.     Think about an enjoyable conversation you've had lately.  Was it a natural back and forth, with questions posed and answers provided?  Did the questions take the conversation into a deeper dialogue?  A successful cold call is one that feels like a natural conversation about a topic of shared interest. If your prospect goes off on a tangent, don't redirect too soon, or better yet - ask a question - "I'm curious - What made you think of carpets when I mentioned windows?"  If he/she goes negative about your offering, ask another question  - "What in your experience has caused you to feel this way?"  

Cold calling is a skill that can improve with practice.  The more comfortable you are being courteous, setting context, and remaining open, the better your sales outcomes will be.   And it never hurts to smile - even over the phone!
Question: What would be a first date option in Boston?
Answer: There are many options for first dates in Boston. You could go for a nice walk in the Boston Common and grab a coffee/tea somewhere nearby. You could go to the Boston Aquarium and walk along the water afterwards. You could go to Seaport and spend time in the indoor mini golf spot. You could also wander around Quincy market and grab a bite to eat and then visit the Sam Adams brewery. Lastly, you could go for a walk along the esplanade and grab a drink and Night Shift brewery if the weather is nice.
Question: Tell me if the following foods would be safe or unsafe for someone with a nut allergy to eat? Peanut butter, eggs, apples, pb&j, carrots, pad thai
Answer: Peanut butter: unsafe, eggs: safe, apples: safe, pb&j: unsafe, carrots: safe, pad thai: unsafe
Question: What does the author hope to do about his future work?
Evidence: Building effective machine learning models for text requires data and different resources such as pre-trained word embeddings and reusable lexicons. Unfortunately, most of these resources are not entirely transferable to different domains, tasks or languages. Sentiment analysis is one such task that requires additional effort to transfer knowledge between languages.
In this paper, we studied the research question: Can we build reusable sentiment analysis models that can be utilized for making inferences in different languages without requiring separate models and resources for each language? To that end, we built a recurrent neural network model in the language that had largest data available. We took a general-to-specific model building strategy where the larger corpus that had reviews from different domains was first used to train the RNN model and a smaller single-domain corpus of sentiment reviews was used to specialize the model on the given domain. During scoring time, we used corpora for the given domain in different languages and translated them to English to be able to classify sentiments with the trained model. Experimental results showed that the proposed multilingual approach outperforms both the majority baseline and the lexicon-based baseline.
In this paper we made the sentiment analysis model specific to a single domain. For future work, we would like to investigate the effectiveness of our model on different review domains including hotel reviews and on different problems such as detecting stance.
For future work, we would like to investigate the effectiveness of our model on different review domains including hotel reviews and on different problems such as detecting stance.
Answer: For future work, they would like to investigate the effectiveness of their model on different review domains including hotel reviews and on different problems such as detecting stance.
Question: When building a pre-stained shelf from Ikea, classify each of the following as useful or not useful for the task: a wooden dowel, a watercolor paint kit, a windowpane, a rubber mallet, a multitool, a screwdriver.
Answer: Wooden dowel: useful, a watercolor paint kit: not useful, a windowpane: not useful, a rubber mallet: useful, a multitool: useful, a screwdriver: useful.
Question: Why did my cookies turn out flat?
Answer: Many factors contribute to a flat cookie. The biggest one tends to be the temperature of the butter when the ingredients are mixed together. If you want a taller, more dense cookie, it is recommended you use cold butter. The best way to do this is to take your sticks of butter and cut it into cubes or slices. Then your mixer will have an easier time incorporating the butter into the sugars and other ingredients. Melted butter will definitely result in a thinner more flat cookie.
Question: Did David Petrarca direct any episodes in the second season of Game of Thrones?
Answer: Yes, David Petrarca directed two episodes of the second season of Game of Thrones: Garden of Bones and The Ghost of Harrenhal.
Question: What are five totally distinct, creative ways to describe the usefulness of a broken stapler?
Answer: While a broken stapler may not have many obvious uses, there are a few ways to find utility from this broken piece of office equipment. First, and as long as the stapler is broken, Stephen Root, otherwise known as Milton from Office Space, would no longer have a reason to take revenge on Initech. Secondly, you can use the broken stapler to store additional staples for staplers that are in fact working. A third use, depending on the nature of the break, would be to use the stapler to get a refund from Office Max. Fourth, it could be used as a prank in the office to watch people attempt to staple pieces of paper after using the copy machine (as long as the copy machine, another notoriously broken piece of office equipment, actually works). Lastly, and probably most obvious, a broken stapler could be used as a paper weight.
Question: name some popular songs from the 1970's
Answer: Stayin' Alive, Y.M.C.A, Let's Get it On, I'll be there and Let it be
Question: What are all the metrics to measure user engagement?
Evidence: We assessed the degree of conversational depth by measuring users' mean word count. Prior work has found that an increase in word count has been linked to improved user engagement (e.g., in a social dialog system BIBREF13). For each user conversation, we extracted the overall rating, the number of turns of the interaction, and the user's per-utterance word count (averaged across all utterances). We modeled the relationship between word count and the two metrics of user engagement (overall rating, mean number of turns) in separate linear regressions.
 We modeled the relationship between word count and the two metrics of user engagement (overall rating, mean number of turns) in separate linear regressions.
Answer: The answers are shown as follows:
* overall rating
* mean number of turns
Question: From the passage provided, extract the second studio album that Taylor Swift released.
Evidence: Swift signed a record deal with Big Machine Records in 2005 and released her eponymous debut album the following year. With 157 weeks on the Billboard 200 by December 2009, the album was the longest-charting album of the 2000s decade. Swift's second studio album, Fearless (2008), topped the Billboard 200 for 11 weeks and was the only album from the 2000s decade to spend one year in the top 10. The album was certified Diamond by the RIAA. It also topped charts in Australia and Canada, and has sold 12 million copies worldwide. Her third studio album, the self-written Speak Now (2010), spent six weeks atop the Billboard 200 and topped charts in Australia, Canada, and New Zealand.
Answer: Fearless
Question: What is a dwarf planet ?
Answer: In August 2006, the International Astronomical Union (IAU) defined a dwarf planet as a celestial body that :
- orbits the Sun, 
- has enough mass to assume a hydrostatic equilibrium (nearly round) shape,
- has not "cleared the neighbourhood" around its orbit,
- is not a satellite.
Question: Tell me whether these are names of soft drinks or coffee: Starbucks, Peet's, Blue Bottle, Coca-Cola, Sprite, Canada Dry, Pepsi
Answer: Starbucks is a brand of coffee
Peet's is a brand of coffee
Blue Bottle is a brand of coffee
Coca-Cola is a soft drink
Sprite is a soft drink
Canada Dry is a soft drink
Pepsi is a soft drink
Question: What are some fun activities to do in Maui, Hawaii?
Answer: Maui, Hawaii is a beautiful place to visit and offers activities that appeal to adventurers, families, and those who want to relax. 

Maui's amazing beaches offer surfing, outrigger paddling, stand-up paddling, fishing, kite surfing and other activities for novice or experienced water lovers. More of a land-lubber than a mermaid? Take a hike in the Haleakala volcano crater or one of many other hikes around the island.

Relaxing by the pool more your speed, check out the great hotels or many private house rentals that offer vacationers a chance to unplug and get away from it all. Most of the resorts are closely located to shops and restaurants for a no worries kid of trip.

Whatever your passions are, Maui delivers with aloha!
Question: why wax snowboard?
Answer: Waxing snowboard improves the speed of the skiing by reducing friction
Question: Explain the black and white smoke during the Pope election
Answer: Beginning in the early 1800s, the ballots used by cardinals were burned after each ballot to indicate a failed election. The lack of smoke instead signalled a successful election. Since 1914, black smoke (fumata nera) emerging from a temporary chimney installed on the roof of the Sistine Chapel indicates that the ballot did not result in an election, while white smoke (fumata bianca) announces that a new pope has been chosen.

Prior to 1945 (when Pius XII changed the form of ballot to use unsigned ballots, first carried out in 1958), the sealing wax on the complex type ballots illustrated above had the effect of making the smoke from burning the ballots either black or white, depending on whether or not damp straw was added. Until the 20th century, sealing wax customarily had beeswax mixed into its composition. The use of wax made solely from animal fat does not give as much white colored smoke, as does wax that includes beeswax. In the 1939 conclave there was some confusion over the smoke color, which was even more apparent in the 1958 conclave. The lack of sealing wax on the ballots explains the confusion over the color of the smoke in the 1958 conclave. The Siri thesis was based on the confusion over the smoke color on the first day of that conclave.

Since 1963, chemicals have been added to the burning process to augment the smoke's black or white color. Beginning in 2005, a successful election is also accentuated by bells ringing at the appearance of the white smoke.

During the 2013 conclave, the Vatican disclosed the chemicals used to color the smoke—the black smoke comprises potassium perchlorate, anthracene, and sulfur; the white smoke is composed of potassium chlorate, lactose, and pine rosin.
Question: Give me a list of some of the best ski areas spread across the North America. Organize the list by the mountain region they belong to. Give a very short synopsis if desired about why that resort was selected.
Answer: Any list of top Ski resorts is one that will be very contested among skiers, but here are a few that stand out:

Pacific Northwest:
Whistler Blackcomb - One of the largest ski resorts in the world, peak to peak gondola, and a vibrant base area village
Mount Baker - Large amount of snow, one of the few remaining locally owned resorts
Crystal Mountain - The largest ski area in Washington state, impressive views of Mt Rainier
Mt Bachelor - Ski lift to the summit and can ski circumnavigate the base of the mountain

Canadian Rockies:
Revelstoke - Highest vertical lift in Canada
Red Mountain - Remote and short lift lines

US Rockies:
Alta - Famous Skiers only mountain with expansive bowls
Park City - Large open terrain with a vibrant village
Crested Butte - Some of the steepest most challenging terrain in the world
Big Sky - Peak gondola to access some of the most challenging terrain in the US
Jackson Hole - Some of the best and most abundant powder and home of famous Corbetts Couloir 

Sierra range:
Tahoe/Palisades: Large resort with expansive views of Lake Tahoe

East Coast:
Stowe Mountain - One of the oldest ski resorts in the US, home of the 10th mountain division
Burke Mountain - Home of the US Ski Race team


In total, there are 826 ski resorts in North America - all are loved for different reasons and have passionate groups of skiers and snowboarders that consider them home, and might argue why their mountain is the best mountain.
Question: What baseline model is the proposed model compared to?
Evidence: We compare with the following models:
1. BIBREF0 : This is a conditional language model which uses a feed-forward neural network to predict the next word in the description conditioned on local characteristics (i.e., words within a field) and global characteristics (i.e., overall structure of the infobox).
2. BIBREF9 : This model was proposed in the context of the WeatherGov and RoboCup datasets which have a much smaller vocabulary. They use an improved attention model with additional regularizer terms which influence the weights assigned to the fields.
3. Basic Seq2Seq: This is the vanilla encode-attend-decode model BIBREF1 . Further, to deal with the large vocabulary ( INLINEFORM0 400K words) we use a copying mechanism as a post-processing step. Specifically, we identify the time steps at which the decoder produces unknown words (denoted by the special symbol UNK). For each such time step, we look at the attention weights on the input words and replace the UNK word by that input word which has received maximum attention at this timestep. This process is similar to the one described in BIBREF30 . Even lebret2016neural have a copying mechanism tightly integrated with their model.
We compare with the following models: 1. (Lebret et al., 2016): This is a conditional language model which uses a feed-forward neural network to predict the next word in the description words within a field) and global characteristics (i.e., overall structure of the infobox). 2.(Mei et al., 2016): This model was proposed in the context of the WeatherGov and RoboCup datasets which have a much smaller vocabulary. They use an improved attention model with additional regularizer terms which influence the weights assigned to the fields. 3.Basic Seq2Seq: This is the vanilla encode- attend-decode model (Bahdanau et al., 2014). Fur_x001f_ther, to deal with the large vocabulary (~400K words) we use a copying mechanism as a postprocessing step. Specifically, we identify the time steps at which the decoder produces unknown words (denoted by the special symbol UNK). For each such time step, we look at the attention weights on the input words and replace the UNK word by that input word which has received maximum attention at this timestep. This process is similar to the one described in (Luong et al., 2015). Even Lebret et al. (2016) have a copying mechanism tightly integrated with their model.
Answer: They compared their models to (Lebret et al., 2016), (Mei et al., 2016), andBasic Seq2Seq.
Question: What are some items that you might see in a fridge?
Answer: Some typical items that you might find in a refrigerator include milk, butter, cheese, yoghurt, juice, eggs and cold water.
Question: Give me a list of Serie A winners in the last 5 years.
Answer: 2021-2022: AC Milan
2020-2021: Inter
2019-2020: Juventus
2018-2019: Juventus
2017-2018: Juventus
Question: Are rugby and American football similar?
Answer: In many regards, yes. In many regards, no. The main similarities are that ball-carrying players are tackled by the opposing team to keep them from scoring the ball in the end zone. The ball is a similar shape, but a different size. The main differences are in the number of players on the field at any given time; 15 players per side in rugby. 11 players per side in football. Also, in football, a player can advance the ball by throwing it forward to a teammate. In rugby, the ball must travel laterally or backward to a teammate by hand. The ball can only be advanced by running or kicking the ball.
Question: What kind of technique do they propose?
Evidence: According to The National Institute on Deafness, one in thousand infants is born deaf. An additional one to six per thousand are born with hearing loss at different levels BIBREF0. Sign language is commonly used by Deaf and Hard-of-Hearing (DHH) persons to communicate via hand gestures. An automatic sign language recognizer enables an ASL user to translate the sign language to written text or speech, allowing them to communicate with people who are not familiar with ASL. There is a tremendous rise in the popularity of personal digital assistants; available on user's personal and wearable devices (Google Now, Amazon Alexa and Apple Siri, etc.) and also in the form of standalone devices (Amazon Echo and Google Home smart speakers). These devices are primarily controlled through voice, and hence, their functionality is not readily available to DHH users. An automatic sign recognizer can also enable the interaction between a DHH user and a digital assistant.
Most current systems have capability of ASL recognition with RGB video data BIBREF1, BIBREF2, BIBREF3. An ASL sign is performed by a combination of hand gestures, facial expressions and postures of the body. Sequential motion of specific body locations (such as hand-tip, neck and arm) provide informative cues about a sign. Using video data, it is difficult to extract different body locations and associated motion sequences from a series of RGB frames. Microsoft Kinect is a 3D camera sensor which can use the depth information of a person to capture 3D coordinates of his/her body location across a video. This sequence of 3D body location is referred by skeletal data BIBREF4. To the best of our knowledge, there is no publicly available skeletal dataset in literature for ASL recognition.
With skeletal data, an ASL sign can be seen as a sequence of 3D coordinates or a 3D time series BIBREF5. Recurrent neural networks (RNN) have shown strong performance for sequential modeling BIBREF6. In this work, we investigate the impact of RGB video data in recognition accuracy when combined with skeletal data. We also propose a combined RNN network with a simple spatial data augmentation technique. In summary, the contributions of this work are:
We propose an RNN architecture with a novel spatial data augmentation technique.
We propose an architecture which uses both RGB and skeletal data to improve recognition accuracy.
We introduce and publicly release a multi–modal dataset for ASL called GMU-ASL51.
We also propose a combined RNN network with a simple spatial data augmentation technique.
Answer: A combined RNN network with a simple spatial data augmentation technique.
Question: Identify which animal species is alive or extinct: Ganges River Dolphin, Helicoprion
Answer: Helicoprion is extinct, Ganges River Dolphin is alive.
Question: which weighs more, a pound of bricks or a pound of feathers?
Answer: Both things weigh the same amount, one pound.
Question: Please extract the names of each of the Second City Theatre venues in which Chris Farley was a cast member, separated by commas.
Evidence: Christopher Crosby Farley was born on February 15, 1964, in Madison, Wisconsin, and grew up in Maple Bluff. His father, Thomas John Farley Sr. (1936–99), owned an oil company, and his mother, Mary Anne (née Crosby), was a homemaker. He had four siblings: Tom Jr., Kevin, John, and Barbara. His cousin, Jim, is chief executive officer at Ford Motor Company.

The Farleys are Irish Catholics. Chris attended parochial schools in Madison, including Edgewood High School of the Sacred Heart. According to Joel Murray, a fellow Second City cast member, Chris would "always make it to Mass."

Many of his summers were spent as a camper and counselor at Red Arrow Camp, near Minocqua, Wisconsin. He graduated from Marquette University in 1986, with a double major in communications and theater. At Marquette, he played rugby union and discovered a love of comedy.

After college, he worked with his father at the Scotch Oil Company in Madison. He first learned the art of improvisational comedy at the Ark Improv Theatre in Madison.

Farley made his way to Chicago, performing first at Improv Olympic. He then attended Chicago's Second City Theatre, starting the same day as Stephen Colbert, initially as part of Second City's touring group. He was eventually promoted to their main stage in 1989, and was a cast member of three revues, The Gods Must Be Lazy, It Was Thirty Years Ago Today, and Flag Smoking Permitted in Lobby Only or Censorama.
Answer: The Gods Must Be Lazy, It Was Thirty Years Ago Today, Flag Smoking Permitted in Lobby Only or Censorama