DataHammer/scimrc huggingface dataset:
Question: What kind of problem do they focus on in their work?
Evidence: With the massive increase in social interactions on online social networks, there has also been an increase of hateful activities that exploit such infrastructure. On Twitter, hateful tweets are those that contain abusive speech targeting individuals (cyber-bullying, a politician, a celebrity, a product) or particular groups (a country, LGBT, a religion, gender, an organization, etc.). Detecting such hateful speech is important for analyzing public sentiment of a group of users towards another group, and for discouraging associated wrongful activities. It is also useful to filter tweets before content recommendation, or learning AI chatterbots from tweets.
The manual way of filtering out hateful tweets is not scalable, motivating researchers to identify automated ways. In this work, we focus on the problem of classifying a tweet as racist, sexist or neither. The task is quite challenging due to the inherent complexity of the natural language constructs – different forms of hatred, different kinds of targets, different ways of representing the same meaning. Most of the earlier work revolves either around manual feature extraction BIBREF0 or use representation learning methods followed by a linear classifier BIBREF1 , BIBREF2 . However, recently deep learning methods have shown accuracy improvements across a large number of complex problems in speech, vision and text applications. To the best of our knowledge, we are the first to experiment with deep learning architectures for the hate speech detection task.
In this paper, we experiment with multiple classifiers such as Logistic Regression, Random Forest, SVMs, Gradient Boosted Decision Trees (GBDTs) and Deep Neural Networks(DNNs). The feature spaces for these classifiers are in turn defined by task-specific embeddings learned using three deep learning architectures: FastText, Convolutional Neural Networks (CNNs), Long Short-Term Memory Networks (LSTMs). As baselines, we compare with feature spaces comprising of char n-grams BIBREF0 , TF-IDF vectors, and Bag of Words vectors (BoWV).
Main contributions of our paper are as follows: (1) We investigate the application of deep learning methods for the task of hate speech detection. (2) We explore various tweet semantic embeddings like char n-grams, word Term Frequency-Inverse Document Frequency (TF-IDF) values, Bag of Words Vectors (BoWV) over Global Vectors for Word Representation (GloVe), and task-specific embeddings learned using FastText, CNNs and LSTMs. (3) Our methods beat state-of-the-art methods by a large margin ( INLINEFORM0 18 F1 points better).
In this work, we focus on the problem of classifying a tweet as racist, sexist or neither.
Answer: The problem of classifying a tweet as racist, sexist or neither.
Question: Do tomatoes belong in Louisiana-style gumbo?
Answer: The answer is it depends.  In traditional Louisiana-style gumbo recipes from the area known for Cajun (Acadiana) cuisine, tomatoes are not commonly part of the recipe.  However, in the area known for Creole (New Orleans) cuisine tomatoes are commonly part of the recipe.
Question: Which record label created Vinyl
Evidence: The LP (from "long playing" or "long play") is an analog sound storage medium, a phonograph record format characterized by: a speed of 33+1⁄3 rpm; a 12- or 10-inch (30- or 25-cm) diameter; use of the "microgroove" groove specification; and a vinyl (a copolymer of vinyl chloride acetate) composition disk. Introduced by Columbia in 1948, it was soon adopted as a new standard by the entire record industry. Apart from a few relatively minor refinements and the important later addition of stereophonic sound, it remained the standard format for record albums (during a period in popular music known as the album era) until its gradual replacement from the 1980s to the early 2000s, first by cassettes, then by compact discs, and finally by digital music distribution.
Answer: Vinyl was introduced by Columbia in 1948
Question: What are the most successful Premier League football teams?
Answer: Manchester United, Manchester City, Arsenal and Chelsea are the most successful football teams of the Premier League era.
Question: What are some ideas for a birthday celebration for a 4 year-old boy?
Answer: Birthday celebrations for 4 year-old boys are a great occasion to bring people together and make the birthday boy feel loved.  Here are some great ideas that may be perfect for the 4 year old in your life:
1. Pool Party - If you have access to a pool, having your party with the pool being the centerpiece is great fun.  The kids can swim and splash while the parents visit together on the deck.  Food, drink and birthday cake are essential to the fun!  Just be thoughtful about keeping the eating and swimming as two distinct activities during the party.
2. Pizza making party - This is great for the kids and the parents alike.  You can get fresh pizza dough from most any grocery store.  Have bowls of sauce, mozzarella cheese, meats, and vegetables that each member of the party can choose the ingredients they want on their pizza. Let each person make their own.  Have the oven hot and ready to cook the pizzas as your guests prepare their own special concoction.  While people are waiting, you can do things like have games, have a sing-a-long, or just visit.
3. Outdoor organized games - Pick four or five organized games and have some of the adults be the facilitators.  Divide the attendees into teams, mix the teams up and just make sure everyone is being included.  After the games, or at a halfway mark, break for food and cake!

These are just a few ideas.  Let your imagination run freely.  Anything that creates fun, includes everyone, makes the birthday boy feel loved and includes food, you'll have a winning celebration!
Question: What is a career grand slam in professional golf?
Answer: A career grand slam is achieved when a professional golfer is able to win all of golf's major championships. These four tournaments are the Masters Tournament, the PGA Championship, the U.S. Open, and The Open Championship. No golfer in the modern era has ever completed a grand slam in the same calendar year.
Question: Based on this paragraph, who directed White Rabbit?
Evidence: White Rabbit is a 2013 American psychological drama film directed by Tim McCann and starring Nick Krause, Sam Trammell and Britt Robertson. Written by Anthony Di Pietro, the film concerns a mentally-ill teen being bullied in high school, whose visions urge him to take revenge. It was produced by Robert Yocum (Burning Sky Films), Shaun Sanghani (SSS Entertainment) and Jacky Lee Morgan. It had its world premiere at the Zurich Film Festival and is being distributed in the United States by Breaking Glass Pictures.
Answer: Tim McCann
Question: Write the scariest short story possible
Answer: The last man on earth, found his door knocks.
Question: What are some fun things to do around Seattle on a warm Summer day?
Answer: Here are few things that someone might enjoy on a warm Summer day in Seattle: walking around Seattle center, taking a trip up to the top of the Space Needle to get a unique perspective of the city, taking a ferry ride to Bainbridge Island to walk around the small town and shop at the small unique shops, visit Green Lake park just north of the city and take a stroll around the picturesque scenery, or visit Pike place market and see the many items venders have for sale.
Question: Tell me whether each South Park character is a kid or adult: Randy, Stan, Kyle, Butters, Sharon
Answer: Randy: Adult
Stan: Kid
Kyle: Kid
Butters: Kid
Sharon: Adult
Question: Can you generate a 2 lines abstract of this text?
Evidence: In physics, gravity (from Latin gravitas 'weight') is a fundamental interaction which causes mutual attraction between all things with mass or energy. Gravity is, by far, the weakest of the four fundamental interactions, approximately 1038 times weaker than the strong interaction, 1036 times weaker than the electromagnetic force and 1029 times weaker than the weak interaction. As a result, it has no significant influence at the level of subatomic particles. However, gravity is the most significant interaction between objects at the macroscopic scale, and it determines the motion of planets, stars, galaxies, and even light.

On Earth, gravity gives weight to physical objects, and the Moon's gravity is responsible for sublunar tides in the oceans (the corresponding antipodal tide is caused by the inertia of the Earth and Moon orbiting one another). Gravity also has many important biological functions, helping to guide the growth of plants through the process of gravitropism and influencing the circulation of fluids in multicellular organisms. Investigation into the effects of weightlessness has shown that gravity may play a role in immune system function and cell differentiation within the human body.

The gravitational attraction between the original gaseous matter in the universe allowed it to coalesce and form stars which eventually condensed into galaxies, so gravity is responsible for many of the large-scale structures in the universe. Gravity has an infinite range, although its effects become weaker as objects get farther away.

Gravity is most accurately described by the general theory of relativity (proposed by Albert Einstein in 1915), which describes gravity not as a force, but as the curvature of spacetime, caused by the uneven distribution of mass, and causing masses to move along geodesic lines. The most extreme example of this curvature of spacetime is a black hole, from which nothing—not even light—can escape once past the black hole's event horizon However, for most applications, gravity is well approximated by Newton's law of universal gravitation, which describes gravity as a force causing any two bodies to be attracted toward each other, with magnitude proportional to the product of their masses and inversely proportional to the square of the distance between them.
Answer: In general physics theory (Newton), Gravity is a mutual attraction between objects based on their respective masses and the square of the distance which separates them. In the relativity theory (Einstein), it's a curvature of the spacetime generated by the objects themselves.
Question: Of the statements listed, identify the ones that show politically bias: I think Trump is a better leader, I think you should vote for Biden, Modi is the leader India needs now, I am almost Liberal, Leftist propoganda, democrats are better, Global warming is a myth, I like meat, you should drink milk, cows should be protected, I support a certain religion, LGBTQ rights are important, people of color need to be represented, immigrants help the country, gun laws are needed
Answer: These statements show that one is politically biased : I think Trump is a better leader, I think you should vote for Biden, Modi is the leader India needs now, I am almost Liberal, Leftist propoganda, democrats are better
Question: What is the difference between UK and Great Britain?
Answer: Quite often people uses the two interchangeable, however this is not correct. Great Britain is the official name of of England, Scotland and Wales. It does not include Northern Ireland. the UK on the other hand is the official name of the union between England, Scotland, Wales and Northern Ireland.
Question: Was Endless Nights released in November or December?
Evidence: Endless Nights in Aurora (Chinese: 極光之愛) is a 2014 Taiwanese romantic drama film directed by Lee Szu-yuan. It stars Rainie Yang and Chris Wang. It was released on December 19, 2014.

Revolving around the romantic relationship of two generations, Alisha and her mother Xiao-feng, two parallel love stories are re-enacted across two and a half decades. With equally heated passion, the star-crossed lovers in different generations are faithfully attached to their experiences in love through promises, anticipation, losses, and forgiveness.
Answer: December
Question: What is the difference between snowboard and ski boots?
Answer: Snowboard boots typically function like stiff snowshoes because the snowboard bindings provide rigid support for turning. Ski boots on the other hand are much more rigid because the bindings only function to keep the boots attached to the skis. Ski boots themselves provide much of the rigid support that snowboard bindings offer.
Question: What team represents Concordia University in Irvine, California?
Evidence: The Concordia Golden Eagles are the athletic teams that represent Concordia University Irvine, located in Irvine, California, in intercollegiate sports as a member of the Division II level of the National Collegiate Athletic Association (NCAA). The Golden Eagles primarily compete in the Pacific West Conference (PacWest) for most of their sports since the 2015–16 academic year; while its men's volleyball team competes in the Mountain Pacific Sports Federation (MPSF); and its men's water polo team competes in the Western Water Polo Association (WWPA). CUI previously competed in the Golden State Athletic Conference (GSAC) of the National Association of Intercollegiate Athletics (NAIA) from 1987–88 to 2014–15; and as an NAIA Independent from 1981–82 to 1986–87. The CUI women's water polo team competed in the Golden Coast Conference (GCC) until the 2022 spring season.
Answer: The Concordia Golden Eagles represent Concordia University Irvine. The Golden Eagles are a member of the Division II level of the National Collegiate Athletic Association (NCAA) and primarily compete in the Pacific West Conference.
Question: Which of the model yields the best performance?
Evidence: An LM's overall performance on *X can be measured simply by taking the proportion of correct predictions across the 67,000 minimal pairs from all paradigms. GPT-2 achieves the highest score and the $n$-gram the lowest. Transformer-XL and the LSTM LM perform in the middle, and at roughly the same level as each other. All models perform well below estimated human agreement (as described in Section SECREF11). The $n$-gram model's poor overall performance confirms *X is not solvable from co-occurrence information alone. Rather, success at *X is driven by the more abstract features learned by neural networks. There are no categories in which the $n$-gram approaches human performance.
GPT-2 achieves the highest score and the $n$-gram the lowest.
Answer: The answers are shown as follows:
* GPT-2
Question: Can foreign nationals get an Aadhaar in India?
Evidence: Aadhaar is a 12-digit unique identity number that can be obtained voluntarily by the citizens of India and resident foreign nationals who have spent over 182 days in twelve months immediately preceding the date of application for enrolment, based on their biometric and demographic data. The data is collected by the Unique Identification Authority of India (UIDAI), a statutory authority established in January 2009 by the Government of India, under the jurisdiction of the Ministry of Electronics and Information Technology, following the provisions of the Aadhaar (Targeted Delivery of Financial and other Subsidies, benefits and services) Act, 2016.
Aadhaar is the world's largest biometric ID system. World Bank Chief Economist Paul Romer described Aadhaar as "the most sophisticated ID programme in the world". Considered a proof of residence and not a proof of citizenship, Aadhaar does not itself grant any rights to domicile in India. In June 2017, the Home Ministry clarified that Aadhaar is not a valid identification document for Indians travelling to Nepal and Bhutan.
Prior to the enactment of the Act, the UIDAI had functioned, since 28 January 2009, as an attached office of the Planning Commission (now NITI Aayog). On 3 March 2016, a money bill was introduced in the Parliament to give legislative backing to Aadhaar. On 11 March 2016, the Aadhaar (Targeted Delivery of Financial and other Subsidies, benefits and services) Act, 2016, was passed in the Lok Sabha.
Answer: Resident foreign nationals who have spent over 182 days in twelve months immediately preceding the date of application for enrolment, based on their biometric and demographic data get an Aadhaar.
Question: Who wrote the song Happy Birthday Darlin
Evidence: "Happy Birthday Darlin'" is a song written by Chuck Howard, and recorded by American country music artist Conway Twitty. It was released in October 1979 as the third and final single from his album Cross Winds. The song was Twitty's 23rd number one on the country chart as solo artist. The single stayed at number one for three weeks and spent a total of 11 weeks on the country chart.

Content
The song begins with the spoken lyric "Hello, Darlin'," calling back to Twitty's 1970 hit of the same name that starts in the same way. The song otherwise tells a narrative through the eyes of a man who vows to right a number of wrongs in his relationship. Here, instead of giving his wife a present for her birthday, he vows to take some things away, such as suspicion, lonely moments, "so-so kisses" and doubt, replacing them with such things as faith and companionship. In the end, the man confidently says that his wife can tell friends, "He didn’t give me anything but he sure took a lot of things away."
Answer: Happy Birthday Darlin' is a song written by Chuck Howard, and recorded by American country music artist Conway Twitty. It was released in October 1979 as the third and final single from his album Cross Winds. The song was Twitty's 23rd number one on the country chart as solo artist. The single stayed at number one for three weeks and spent a total of 11 weeks on the country chart.

The song begins with the spoken lyric Hello, Darlin' calling back to Twitty's 1970 hit of the same name that starts in the same way. The song otherwise tells a narrative through the eyes of a man who vows to right a number of wrongs in his relationship. Here, instead of giving his wife a present for her birthday, he vows to take some things away, such as suspicion, lonely moments, "so-so kisses" and doubt, replacing them with such things as faith and companionship. In the end, the man confidently says that his wife can tell friends, "He didn’t give me anything but he sure took a lot of things away."
Question: What is the current SOTA for sentiment analysis on Twitter at the time of writing?
Evidence: Supervised learning. Traditionally, the above features were fed into classifiers such as Maximum Entropy (MaxEnt) and Support Vector Machines (SVM) with various kernels. However, observation over the SemEval Twitter sentiment task in recent years shows growing interest in, and by now clear dominance of methods based on deep learning. In particular, the best-performing systems at SemEval-2015 and SemEval-2016 used deep convolutional networks BIBREF53 , BIBREF54 . Conversely, kernel machines seem to be less frequently used than in the past, and the use of learning methods other than the ones mentioned above is at this point scarce. All these models are examples of supervised learning as they need labeled training data.
 In particular, the best-performing systems at SemEval-2015 and SemEval-2016 used deep convolutional networks BIBREF53 , BIBREF54 
Answer: The answers are shown as follows:
* deep convolutional networks BIBREF53 , BIBREF54
Question: Can you decipher this english text into a commonly used phrase to practice typing?
tcnmeahkfprzeboetyqrxdhduojoeoiwuvlg
Answer: The answer is:  the quick brown fox jumped over the lazy dog
This is a commonly used phrase that includes all 26 letters from the english alphabet and may be useful when practicing typing.  

This can be deciphered by connecting letters offset by 6 within the string.  The first 3 letters with this pattern are "t", "h", "e" forming the word "the".  Spaces must be inferred from common words and word patterns. 
letter   1 -   t
letter   7 -   h
letter 13 -   e

Visually, this can also be accomplished by splitting after every 6 letters, and then reading columns top->bottom, then left-right.  In the example below the word FOX is highlighted using capital letters in the 3rd column.
tcnmea
hkFprz
ebOety
qrXdhd
uojoeo
iwuvlg
Question: Please explain how a perpetrator's state of mind is relevant to guilt in committing a crime
Evidence: In jurisprudence, animus nocendi (from Latin animus 'mind', and noceo 'to harm') is the subjective state of mind of the perpetrator of a crime, with reference to the exact knowledge of illegal content of his behaviour, and of its possible consequences.

In most modern legal systems, the animus nocendi is required as an essential condition to give a penal condemnation.

The animus nocendi is usually demonstrated by the verified presence of these elements:

knowledge of a law that prohibited the discussed action or conduct (unless there exists a systemic obligation, pending on every citizen, that considers that the law has to be known by every adult — in this case the knowledge is presumed a priori; see also Ignorantia juris non excusat);
knowledge of the most likely consequences of his action;

precise intention of breaking the law or of causing the verified effects of the action.
When the author of the crime had no animus nocendi, it is usually considered that the crime still exists, but the author is innocent, unless a responsibility for guilt can be found in his conduct: the typical case of a car accident in which a wrong or even hazardous manoeuvre causes personal injuries to another car driver, is then managed as a crime for the presence of injuries, yet the author will not be prosecuted as the author of the injuries (he did not want to hurt the other driver, thus he had no animus nocendi), but simply as the author of a dangerous conduct that indirectly caused said effects, and would be held responsible at a guilt title.
Answer: In most legal systems, it is required to demonstrate that the perpetrator of a crime had intent to harm, also known by the legal term "animus nocendi"(from the Latin animus "mind" and noceo "to harm"). Put plainly, this means having foreknowledge of the illegality of his act and the repercussions of the crime. Intention is important in establishing guilt for a specific crime. A good example is a car accident fatality: the driver responsible would be guilty of causing the accidental death of the victim (manslaughter), but not guilty of murder -- unless it could be established that the driver at fault intended to kill the victim.
Question: Identify which of these episodes appear in Season 5 or Season 6 of The X-Files: The Pine Bluff Variant, Bad Blood, Detour, Emily, Christmas Carol, The End, Dreamland, Triangle, Drive, The Beginning, S.R. 819, Field Trip
Answer: Season 5: The Pine Bluff Variant, Bad Blood, Detour, Emily, Christmas Carol, The End
Season 6: Dreamland, Triangle, Drive, The Beginning, S.R. 819, Field Trip
Question: How to decide what type of dog you want to purchase or adopt?
Answer: You should make sure you pick a dog that best suits your lifestyle. Size, activity, age and breed all play a factor in the type of furry friend you want to keep around. Bigger dogs tend to require more space and more time outside to release their energy, otherwise, you'll see it unleashed inside your home. Smaller dogs tend to be more manageable but just be careful not to sit on them. If you have an active lifestyle, you'll likely want to keep to a dog that will also be happy to be outside and run around. If you tend to stay in more, a less active/older dog could be better suited for you.
Question: If you could not fill a pool with water, what would you fill it with?
Answer: If I could not fill a pool with water, I would fill it with; 1) feathers, 2) bubbles, 3) flour, 4) syrup, 5) sour cream, 6) planted flowers, or 7) rocks.