DataHammer/scimrc huggingface dataset:
Question: Tell me about Clarence Adams
Evidence: Clarence Richard Adams (born July 6, 1974) is an American former professional boxer. He has won a world title in the Super Bantamweight weight division.

Professional career
Adams turned pro in 1990, at the age of 16. In 2000 defeated Néstor Garza for the WBA super bantamweight title by unanimous decision. In his first defense he beat Andres Fernandez by 6th-round TKO. The fight ended when the referee stopped the fight and the ringside physician, Armando Sanchez, determined that Fernandez could not continue due to cuts.

Adams defended the title one more time before vacating to fight Paulie Ayala. He lost the bout by split decision in 2001, and also lost a rematch in 2002. Adams retired in 2003 after drawing with journeyman Manuel Sepeda, but returned to boxing in 2006. On June 12, 2009, Adams defeated veteran Alex "Ali" Baba in an 8th-round TKO.

His last match was in 2010, a fourth-round technical knockout loss to Edel Ruiz, which brought Adams’ record to 44-7-4 with 20 knockouts and 1 no contest.

In 2015, Adams was ordered to spend half a year behind bars after pleading guilty to being part of a group of people involved with drug trafficking, fraud and prostitution. Adams, who was a driver for the limousine company accused of the criminal activity, “admitted to playing a small role in the prostitution and drug dealing portions of the scheme.”

Adams now owns Bones Adams Gym in Las Vegas, a boxing training center. He played a key role in helping Blair Cobbs becoming a professional boxer. As of September 2021, Adams is now training Amir Khan's first-ever signing and protege, Tal Singh, a former England amateur champion, who he is hoping to guide towards a historic world title triumph. Adams also trains Shane Mosley Jr. in his Las Vegas gym.
Answer: Clarence Richard Adams (born July 6, 1974) is an American former professional boxer who has won a world title in the Super Bantamweight weight division. He turned pro in 1990 at the age of 16. In 2000, he unanimously defeated Néstor Garza for the WBA super bantamweight title. In his first defence, he beat Andres Fernandez by 6th-round TKO. He defended the title one more time before vacating to fight Paulie Ayala. He retired in 2003 after drawing with journeyman Manuel Sepeda but returned to boxing in 2006. In 2009, he defeated veteran Alex "Ali" Baba in an 8th-round TKO. His last match was in 2010, a fourth-round technical knockout loss to Edel Ruiz. In 2015, Adams was ordered to spend half a year behind bars after pleading guilty to being part of a group of people involved with drug trafficking, fraud and prostitution. He now owns Bones Adams Gym in Las Vegas and is currently training Amir Khan's first-ever signing and protege, Tal Singh.
Question: Do they use pretrained word embeddings?
Evidence: In this study, we tackle a task of describing (defining) a phrase when given its local context as BIBREF2 , while allowing access to other usage examples via word embeddings trained from massive text (global contexts) BIBREF0 , BIBREF1 . We present LOG-Cad, a neural network-based description generator (Figure FIGREF1 ) to directly solve this task. Given a word with its context, our generator takes advantage of the target word's embedding, pre-trained from massive text (global contexts), while also encoding the given local context, combining both to generate a natural language description. The local and global contexts complement one another and are both essential; global contexts are crucial when local contexts are short and vague, while the local context is crucial when the target phrase is polysemous, rare, or unseen.
We present LOG-Cad, a neural network-based description generator (Figure FIGREF1 ) to directly solve this task. Given a word with its context, our generator takes advantage of the target word's embedding, pre-trained from massive text (global contexts), while also encoding the given local context, combining both to generate a natural language description.
Answer: Yes.
Question: Is the approach useful for Turkish only？
Evidence: Sentiments of words differ from one corpus to another. Inducing general sentiment lexicons for languages and using them cannot, in general, produce meaningful results for different domains. In this paper, we combine contextual and supervised information with the general semantic representations of words occurring in the dictionary. Contexts of words help us capture the domain-specific information and supervised scores of words are indicative of the polarities of those words. When we combine supervised features of words with the features extracted from their dictionary definitions, we observe an increase in the success rates. We try out the combinations of contextual, supervised, and dictionary-based approaches, and generate original vectors. We also combine the word2vec approach with hand-crafted features. We induce domain-specific sentimental vectors for two corpora, which are the movie domain and the Twitter datasets in Turkish. When we thereafter generate document vectors and employ the support vector machines method utilising those vectors, our approaches perform better than the baseline studies for Turkish with a significant margin. We evaluated our models on two English corpora as well and these also outperformed the word2vec approach. It shows that our approaches are cross-lingual and cross-domain.
It shows that our approaches are cross-domain and portable to other languages.
Answer: No. It is portable to other language.
Question: If I'm strong in the gym will I be good at rock climbing?
Answer: The answer is a bit complicated. Being physically fit will benefit you in rock climbing, like it will in many other sports. Traits such as shoulder strength, core strength, and pulling strength are all required to be a successful rock climber.

The key element needed to become a great or even just good rock climber, however, is finger and wrist strength. So much of rock climbing revolves around your ability to hold on to very tiny or oddly shaped grips to keep you on the wall. Few other sports emphasize finger strength the way rock climbing does. Yet, like all other muscles in your body, finger strength is an element that can be developed over time.

With the right balance of both general athletics, body control, and finger strength you can become a great rock climber.
Question: Give me a bulleted list of the seven most team with the most english premier league title
Answer: Here are the seven teams with the most premier league titles-
1. Manchester United - 20 premier league titles
2. Liverpool FC - 13 premier league titles
3. Arsenal FC - 20 premier league titles
4. Everton FC - 9 premier league titles
5. Manchester City - 8 premier league titles
6. Aston Villa - 7 premier league titles
7. Chealse FC and Sunderland AFC - 6 premier league titles
Question: Who were the United States Presidents?
Answer: George Washington, John Adams, Thomas Jefferson, James Madison, James Monroe, John Quincy Adams, Andrew Jackson, Martin Van Buren, William Henry Harrison, John Tyler, James K. Polk, Zachary Taylor, Millard Fillmore, Franklin Pierce, James Buchanan,  Abraham Lincoln, Andrew Johnson, Ulysses S. Grant, Rutherford B. Hayes, James A. Garfield, Chester A. Arthur, Grover Cleveland, Benjamin Harrison, Grover Cleveland, William McKinley, Theodore Roosevelt, William Howard Taft, Woodrow Wilson, Warren G. Harding, Calvin Coolidge, Herbert Hoover, Franklin D. Roosevelt, Harry S. Truman, Dwight D. Eisenhower, John F. Kennedy, Lyndon B. Johnson, Richard Nixon, Gerald Ford, Jimmy Carter, Ronald Reagan, George Bush, Bill Clinton, George W. Bush, Barack Obama, Donald Trump, Joe Biden
Question: What's Rockhopper Exploration PLC business?
Evidence: Rockhopper Exploration PLC is an oil and gas exploration company headquartered in Salisbury, Wiltshire, United Kingdom. It owns offshore exploration and production licences in the North Falkland Basin in the waters north of the Falkland Islands.

Rockhopper is listed on the Alternative Investment Market of the London Stock Exchange.
Answer: Rockhopper Exploration PLC is in the oil and gas business, headquartered in Salisbury, Wiltshire, United Kingdom.
Question: Categorize the following as either a 'month' or a 'day'
Answer: Monday, February, Sunday, October, Wednesday, July
Question: If you had pogonophobia what would you be afraid of
Answer: Beards
Question: In (section 4.1), the authors adopt the MAP rule to determine the channel input and the Gaussian component. How complex is the MAP rule?
Evidence: The computational cost of the proposed adaptation methods (for processing a single input) at the decoder are only slightly different from each other. The affine transformation method of § 4.1 computes the posterior distribution Pθbc (x, i| y) over the set of symbols and components (of size m k). Computation of each exponent factor in the posterior distribution requires O(d 3 ) operations for the full-covariance case, and O(d) operations for the diagonal covariance case. This corresponds to calculation of the log of the Gaussian density. Therefore, computation of the maximum of the posterior distribution requires O k m (k m d3 ) _x005f_x005f_x005f_x005f_x005f_x005f_x005f_x005f_x005f_x005f_x005f_x005f_x005f_x005f_x005f_x005f_x005f = O k 2 m2 d 3  operations for the full-covariance case (and similarly for the diagonal case). The MAP symbol estimation method of § 4.2 computes the posterior distribution Pθbc (x | y) over the set of symbols (of size m). Computation of each exponent factor in the posterior distribution requires O(k d3 ) operations for the full covariance case, and O(k d) operations for the diagonal covariance case. This corresponds to calculation of the log of the Gaussian mixture density with k components. Therefore, computation of the maximum of this posterior distribution requires O m (m k d3 ) _x0001_ = O k m2 d 3  operations for the full-covariance case. Therefore, the computational complexity of the affine transformation method is larger than that of the MAP SE method by a factor of k. Usually k is not large. However, the computational cost of both methods can be relatively high for large modulation orders (e.g., m = 256 or 1024 symbo
Answer: We have revised the computational complexity discussion in Appendix C.4 to discuss both adaptation methods proposed in section 4. The complexity of the affine transformation method (section 4.1) can be expressed as O(k2m2d3) and that of the MAP SE method is O(km2d3). Here m is the number of symbols, k is the number of components, and d is the dimension. The reviewer is correct in observing that when m and/or k is large, the complexity of adaptation would be high. It has also been observed in the literature that the computational and memory complexity of end-to-end learning of a symbol-level autoencoder grows quickly for large m, which is an open problem.
Question: Which is a species of fish? Swordtail or Excalibur
Answer: Swordtail
Question: Did Ramon Pileta compete in the Olympics
Evidence: Ramón Pileta (born March 20, 1977) is a Honduran judoka. He competed at the 2016 Summer Olympics in the men's +100 kg event, in which he was eliminated in the first round by Rafael Silva.
Answer: Ramon Pileta (born March 20, 1977) is a Honduran judoka. He competed at the 2016 Summer Olympics in the men's +100 kg event, in which he was eliminated in the first round by Rafael Silva.
Question: Give me a method to poach chicken
Answer: Boneless, skinless chicken breasts
Chicken stock 

1. Place the chicken in a sauce pan on a stove top
2. Add cold chicken stock to the pan so it covers the chicken breast
3. Turn the heat to medium and let the stock come to a gentle boil
4. When the water starts to boil, turn the chicken breast and remove pan from heat
5. Cover pan tightly
6. Check the temperature of the chicken and ensure it reaches 155 F
7. Voila! You are done - slice the chicken and toss it into your favorite salad!
Question: How to tell if someone told a good joke?
Answer: You can tell if someone said a good joke if it makes a person laugh or giggle after it was communicated.  You can also tell if a good joke was said by an audience reaction to the joke, if they cheer, or if they boo.  Booing is a sign the joke was not so good, and cheering is a sign the joke was good.  A reaction of silence to a joke means the joke was not understood.  If you or an audience don't understand the context of joke make sure to ask for clarification so you can take part in cheering or booing depending on how you respond to it.
Question: What kind of u-boat was the SM U-30
Evidence: SM U-30[Note 1] was one of 329 U-boat submarines serving in the Imperial German Navy in World War I. She engaged in commerce warfare as part of the First Battle of the Atlantic. U-30 is significant for the torpedoing of the US tanker Gulflight on 1 May 1915 20 nautical miles (37 km; 23 mi) west of Scilly.
Answer: SM U-30 was one of 329 U-boat submarines serving in the Imperial German Navy in World War I. She engaged in commerce warfare as part of the First Battle of the Atlantic. U-30 is significant for the torpedoing of the US tanker Gulflight on 1 May 1915 20 nautical miles (37 km; 23 mi) west of Scilly.
Question: Is a life without meaning, a life of pessimism?
Answer: The idea of meaninglessness and absurdity of life was widely explored by many scholars, one being Albert Camus.
In accordance with his philosophical theory of absurdism the universe’s irrationality and randomness indicates that it does not posses a specific purpose. Therefore, one should abandon the search for meaning and embrace the absurdity of life. According to Camus, the lack of meaning in our existence is not negative, simply neutral. Without innate meaning, one is free to do with their life as they wish so the notion of a meaningless life isn’t objectively a useless life, nor is it a negative one.
Question: What is the best food in the world?
Answer: Humans love their food, don’t they? Why is that? Well, humans are born in places where there is a local cuisine that they grow up with and love. Eating this food established an association with a comforting experience and this is why most nations claim that the best food is in their country. However, there seems to be a global understanding that Italian, French, Thai and Japanese cuisines are some of the best in the world. The reason for this, apart from top quality genuine ingredients and local cultural importance, can be the positive association attached to the cuisine by mass media or personal experiences whilst on holiday.
Question: What kind of language is Shauraseni Prakrit
Evidence: Shauraseni Prakrit (Sanskrit: शौरसेनी प्राकृत, Śaurasenī Prākṛta) was a Middle Indo-Aryan language and a Dramatic Prakrit. Shauraseni was the chief language used in drama in medieval northern India. Most of the material in this language originates from the 3rd to 10th centuries, though it was probably a spoken vernacular around the 2nd century BCE in the ancient state of Surasena. Among the Prakrits, Shauraseni is said to be the one most closely related to Classical Sanskrit in that it "is derived from the Old Indian Indo-Aryan dialect of the Madhyadeśa on which Classical Sanskrit was mainly based.": 3–4  Its descendants include the languages of the Hindi Belt, the Central Zone of modern Indo-Aryan or Hindi languages, the standard registers of the Hindustani language based on the Delhi dialect.
Answer: Shauraseni Prakrit was a Middle Indo-Aryan language and a Dramatic Prakrit. Shauraseni was the chief language used in drama in medieval northern India. Most of the material in this language originates from the 3rd to 10th centuries, though it was probably a spoken vernacular around the 2nd century BCE in the ancient state of Surasena. 

Among the Prakrits, Shauraseni is said to be the one most closely related to Classical Sanskrit in that it is derived from the Old Indian Indo-Aryan dialect of the Madhyadesa on which Classical Sanskrit was mainly based. Its descendants include the languages of the Hindi Belt, the Central Zone of modern Indo-Aryan or Hindi languages, the standard registers of the Hindustani language based on the Delhi dialect.
Question: How do you treat a dog diarrhea
Answer: You can treat a dog diarrhea by letting the dog skip one meal and give ground turkey and rice plus one packet of probiotics to the dog. You can add some veggie if you see improvement.
Question: From the passage provided, extract the name of the 37th speaker of the House of Commons  of Canada
Evidence: The speaker of the House of Commons (French: président de la Chambre des communes) is the presiding officer of the lower house of the Parliament of Canada. A member of Parliament (MP), they are elected at the beginning of each new parliament by fellow MPs. The speaker's role in presiding over Canada's House of Commons is similar to that of speakers elsewhere in other countries that use the Westminster system.

The 37th and current speaker of the House of Commons is Anthony Rota, since December 5, 2019. The speaker with the longest tenure is Peter Milliken who was elected for four consecutive terms lasting 10 years, 124 days.
Answer: The 37th and current speaker of the House of Commons is Anthony Rota
Question: Extract the stages for portfolio optimization from https://en.wikipedia.org/wiki/Portfolio_optimization
Evidence: Portfolio optimization often takes place in two stages: optimizing weights of asset classes to hold, and optimizing weights of assets within the same asset class. An example of the former would be choosing the proportions placed in equities versus bonds, while an example of the latter would be choosing the proportions of the stock sub-portfolio placed in stocks X, Y, and Z
Answer: - Stage 1 is optimizing weights of asset classes to hold, choose the allocation of equities and bonds
- Stage 2 is optimizing weights of assets within the same asset class, choose the proportions of each stock stickers in the stock portfolio
Question: Identify which instrument is string or percussion: Lummi stick, Timple
Answer: Timple is string, Lummi stick is percussion.
Question: What is Human Development Report (HDI) based on?
Answer: HDI is based on Life Expectancy, Literacy & Per Capita Income
Question: What are artificial neural networks?
Evidence: Artificial neural networks (ANNs), usually simply called neural networks (NNs) or neural nets, are computing systems inspired by the biological neural networks that constitute animal brains. An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal to other neurons. An artificial neuron receives signals then processes them and can signal neurons connected to it. The "signal" at a connection is a real number, and the output of each neuron is computed by some non-linear function of the sum of its inputs. The connections are called edges. Neurons and edges typically have a weight that adjusts as learning proceeds. The weight increases or decreases the strength of the signal at a connection. Neurons may have a threshold such that a signal is sent only if the aggregate signal crosses that threshold.
utomatically generate identifying characteristics from the examples that they process.Typically, neurons are aggregated into layers. Different layers may perform different transformations on their inputs. Signals travel from the first layer (the input layer), to the last layer (the output layer), possibly after traversing the layers multiple times.
Answer: Neural networks are computer systems inspired by the biological neural networks that constitute animal brains
Question: What items do you need to buy in preparation for the arrival of a baby
Answer: The arrival of a baby is an exciting time! Here is a list of some items you may want to get before its arrival:
 - Crib or bassinet and bedding
 - Baby monitor
 - Car Seat
 - Stroller
 - Onesies and appropriate clothing
 - Feeding bottles
 - First aid kit
 - Diapers and related creams and wipes
Question: Classify each item as jewelry or clothing: ring, shirt, shorts, socks, necklace, bracelet
Answer: Ring: Jewelry
Shirt: Clothing
Shorts: Clothing
Socks: Clothing
Necklace: Jewelry
Bracelet: Jewelry
Question: How do you install a wooden fence?
Answer: First, you would start by plotting out the line of the fence around your yard. You would want to make sure that you are not imposing on your neighbors yard, so it is always smart to get a survey done by the local government as well. When you are ready to start installing your fence, you would Dig holes using a post digger at intervals between 3 to 5 feet wide. He would then pour concrete into the holes and put the fence posts in the holes. After the posts are installed, and the concrete is dried, you would nail the wooden planks between the posts to make your fence. When you’re all done, it’s always nice to enjoy a cold beer if you are above the legal limit.
Question: Please write a socia media post about why Leo Messi is the best soccer player in the world.
Answer: Messi is the best soccer player in the world because he has both the best skills and strongest mentality. His physical strength might not be the greatest in the world but he is able to leverage his body to perform amazing motions and skills on the field. His control of the ball is unmatchable and always give his opponents a hard time. In addition to that, Messi has a winner mentality that keeps him calm and focused especially in big matches. Will all those virtues, Messi has won countless trophies and awards so he is considered to be the best soccer player in the world.
Question: Polly, a 51-year-old female, visits your fitness facility. She is dissatisfied with her body and is responding to a series of ads your facility uses to attract people interested in weight loss. What new behaviors and habits could she adopt to optimize weight control?
Answer: She can focus on three new behaviors: attitude rewiring, prioritizing consistency, and emotional control. First, she can adopt a new attitude towards health and fitness; instead of thinking of working out as a necessarily hard and unenjoyable task, she can start perceiving her workouts in a positive light. Instead of seeking to accomplish unrealistic goals, she can start small and focus on consistency, finding tasks that are both easy and enjoyable for her (such as walking a dog). Finally, because people tend to sabotage their good diets or workout plans due to distressing events, she needs to adopt emotional discipline, recognizing stressful situations and ensuring she is not acting purely out of stress.
Question: Where is Ivan Trotski from?
Evidence: Ivan Trotski is a Belarusian race walker.
Answer: Belarus
Question: What is Time magazine?
Evidence: Time (stylized in all caps) is an American news magazine based in New York City. For nearly a century, it was published weekly, but starting in March 2020 it transitioned to every other week. It was first published in New York City on March 3, 1923, and for many years it was run by its influential co-founder, Henry Luce. A European edition (Time Europe, formerly known as Time Atlantic) is published in London and also covers the Middle East, Africa, and, since 2003, Latin America. An Asian edition (Time Asia) is based in Hong Kong. The South Pacific edition, which covers Australia, New Zealand, and the Pacific Islands, is based in Sydney.

Since 2018, Time has been owned by Salesforce founder Marc Benioff, who acquired it from Meredith Corporation. Benioff currently publishes the magazine through the company Time USA, LLC.
Answer: An American news magazine, based in New York City since March 3,1923, published every week since and every other week since March 2020. Initially it was run by it's co-founder, Henry Luce but since 2018, it has been owned by Salesforce founder Marc Benioff, who publishes it through the company Time USA, LLC.
Question: What are the lesser known Jewish holidays?
Answer: Most people know the Jewish holidays of Rosh Hashana, Yom Kippur, and Chanukah. Some of the lesser known Jewish holidays include the following: Sukkot, Shemini Atzeres, Simchat Torah, Tu B'Shvat, Purim, Passover (Pesach), Lag B'Omer, and Shavuot.