DataHammer/scimrc huggingface dataset:
Question: What is Ultimate Frisbee?
Answer: Ultimate Frisbee is a popular sport around the world. It is played both recreationally and at a semi-professional level. It is played with two teams of 7 players who square off against each other on a field that is about the size of an American football field (120x40 yards). Much like American football, the objective is to catch the Frisbee, or disc, in the end zone in order to score points. The run of play, however, is continuous like soccer. Players cannot run while holding the disc, requiring teams to progress down the field by throwing the disc to each other. Each player must release the disc within 10 seconds of acquiring it. Under normal circumstances, the first team to score 15 points wins.
Question: What are the colors of the rainbow?
Answer: A rainbow is formed when sunlight scatters from raindrops and reflects red, orange, yellow, green, blue, indigo and violet.
Question: What is the difference between UI design, UX design and Product design?
Answer: While all of these types of design are related, there are several key differences. UI design focuses on the actual visual design of an experience and the look and feel of the controls. UX design is all about the actual flows, steps or scenarios that the experience is addressing. The order of the flow, the type of controls used, and how related various elements are to each other. Product design goes one step deeper, and asks the question of if the experience is solving the right problems for users, or addressing actual user needs.
Question: Classify the below based on whether they are tree or animal.
Deer, Goat, Acacia, Banyan
Answer: Animal - Deer, Goat
Tree - Acacia, Banyan
Question: How can I sleep well at night?
Answer: Sleep is essential for your brain and body to function productively. Studies have shown that stress and lifestyle have a direct correlation to the quality of sleep. Here are some suggestions for a good night's rest:
1. Establish a bedtime and try to sleep and wake up around the same time
2. Stay hydrated by drinking lots of water and reducing caffeine and alcohol intake
3. Exercise and stay active during the day
4. Eat a healthy, balanced diet and try to limit the consumption of foods high in sugar and trans fats a few hours leading up to bedtime
5. Turn off notifications and if possible, keep the phone away from your bed as you prepare to sleep
6. Listening to soothing music, reading a book or any activity that puts you in a good frame of mind for sleep is highly recommended
Question: Name three movies that have an optimistic post-apocalyptic feel.
Answer: Love and Monsters (2020)
Free Guy (2021)
Dungeons & Dragons: Honor Among Thieves (2023)
Question: Given this reference paragraph about Roger Franklin Bonk where was he born?
Evidence: Roger Franklin Bonk (June 9, 1944 – February 13, 2023) was an American professional football player who was a linebacker for one season in the Canadian Football League (CFL) for the Winnipeg Blue Bombers. A native of Minnesota, he played freshman football for the Minnesota Golden Gophers in 1962 before transferring to the University of North Dakota. He played three years for their football team and was twice named all-conference, additionally being named first-team Little All-American as a senior. Bonk then played 15 games for Winnipeg in 1967 before being released prior to the 1968 season.
Answer: Minnesota
Question: Which dragon in Game of Thrones was reanimated as a wight?
Answer: Viserion
Question: I need to improve my sleep.  Give me a list of ideas for doing so.
Answer: * Make your bedroom darker, especially if daylight wakes you up in the morning.
* Make your room quieter, or use a white noise machine, if you are awoken by noises.
* If you find yourself getting too hot or cold, adjust your pajamas, bedding, or room temperature.
* Exercise during the day, but not too close to bedtime.
* Have a regular bedtime, as well as a bedtime routine beforehand.
* Avoid looking at computer, TV or phone screens for an hour or two before bedtime.
* Try to lower your stress levels.
* Give yourself enough time to sleep so that you don't need an alarm to wake up.
Question: How to search for relevant utterances in this paper?
Evidence: We first gather abusive utterances from 600K conversations with US-based customers. We search for relevant utterances by simple keyword spotting and find that about 5% of the corpus includes abuse, with mostly sexually explicit utterances. Previous research reports even higher levels of abuse between 11% BIBREF2 and 30% BIBREF6. Since we are not allowed to directly quote from our corpus in order to protect customer rights, we summarise the data to a total of 109 “prototypical" utterances - substantially extending the previous dataset of 35 utterances from Amanda:EthicsNLP2018 - and categorise these utterances based on the Linguistic Society's definition of sexual harassment BIBREF7:
[noitemsep]
Gender and Sexuality, e.g. “Are you gay?”, “How do you have sex?”
Sexualised Comments, e.g. “I love watching porn.”, “I'm horny.”
Sexualised Insults, e.g. “Stupid bitch.”, “Whore”
Sexual Requests and Demands, e.g. “Will you have sex with me?”, “Talk dirty to me.”
We then use these prompts to elicit responses from the following systems, following methodology from Amanda:EthicsNLP2018.
[leftmargin=5mm, noitemsep]
4 Commercial: Amazon Alexa, Apple Siri, Google Home, Microsoft's Cortana.
4 Non-commercial rule-based: E.L.I.Z.A. BIBREF8, Parry BIBREF9, A.L.I.C.E. BIBREF10, Alley BIBREF11.
4 Data-driven approaches:
Cleverbot BIBREF12;
NeuralConvo BIBREF13, a re-implementation of BIBREF14;
an implementation of BIBREF15's Information Retrieval approach;
a vanilla Seq2Seq model trained on clean Reddit data BIBREF1.
Negative Baselines: We also compile responses by adult chatbots: Sophia69 BIBREF16, Laurel Sweet BIBREF17, Captain Howdy BIBREF18, Annabelle Lee BIBREF19, Dr Love BIBREF20.
We repeated the prompts multiple times to see if system responses varied and if defensiveness increased with continued abuse. If this was the case, we included all responses in the study. Following this methodology, we collected a total of 2441 system replies in July-August 2018 - 3.5 times more data than Amanda:EthicsNLP2018 - which 2 expert annotators manually annotated according to the categories in Table TABREF14 ($\kappa =0.66$).
We search for relevant utterances by simple keyword spotting and find that about 5% of the corpus includes abuse, with mostly sexually explicit utterances.
Answer: The authors search for relevant utterances by simple keyword spotting.
Question: Why Indians are so beautiful
Answer: Indians have many culture and the color of Asian subcontinent skin is makes them looks exceptional. Indian are Vibrant
Question: Given a refrence text about The Bobcaygeon Independent, tell me when it was established and when it ceased publication.
Evidence: The Bobcaygeon Independent was the weekly community newspaper in Bobcaygeon, Ontario, Canada. It was established in 1869. Ownership changed hands many times over the years, until it was purchased along with then owner, Citizens Communication Group, in 2000 by Metroland Publishing.

The Independent covered everything from community events, school issues & family milestones to local crimes and tragedies. During ownership by the Citizens Communication Group, the Bobcaygeon and Fenelon news teams worked closely together, and from time to time, some stories of general interest would run simultaneously in the Independent and its sister paper the Fenelon Falls Gazette. During ownership by Metroland Publishing, a similar news style was used with common pages in both Bobcaygeon and Fenelon papers, and in the Lindsay This Week newspaper.

The paper was officially incorporated into Kawartha Lakes This Week in late 2004 in keeping with the amalgamation of Lindsay, Bobcaygeon and Fenelon Falls into the City of Kawartha Lakes.

Today, back issues are available at the Bobcaygeon Public Library for viewing on Microfiche, as far back as the first issue in 1869.

Although the paper had ceased publication in 2004, the website Amazon.com still offers subscriptions.
Answer: The Bobcaygeon Independent was established in 1869 and ceased publication in 2004.
Question: How do I pick the best bananas?
Answer: It depends on when you want to eat them. If you want to eat them immediately, look for ones that are almost entirely yellow. If you are waiting a few days, 1 inch or less of green on top. And if you are expecting them to last a week, select ones that are about half green.
Question: Why do people blink?
Answer: Each time the eyelids close, salty secretions from the tear glands are swept over the surface of the eye, flushing away small dust particles and lubricating the exposed portion of the eyeball. In essence, people blink because to cleanse and moisten the eye.
Question: Identify which instrument is string or woodwind: Octobass, Bass clarinet
Answer: Bass clarinet is woodwind, Octobass is string.
Question: Extract why Tim Lincecum was called "The Freak"
Evidence: Timothy Leroy Lincecum (/ˈlɪnsəkʌm/ LIN-sə-kum; born June 15, 1984), nicknamed "The Freak", "The Franchise", "The Freaky Franchise" and "Big Time Timmy Jim", is an American former professional baseball pitcher. He played in Major League Baseball (MLB) for the San Francisco Giants (2007 to 2015) and Los Angeles Angels (2016). A two-time Cy Young Award winner, Lincecum helped the Giants win three World Series championships from 2010 through 2014.
Answer: Nicknamed "The Freak" for his ability to generate powerful pitches despite his slight physique (5 feet 11 inches, 170 pounds), the power pitcher led the National League in strikeouts for three consecutive years in a span from 2008 to 2010. He also led the league in shutouts in 2009 and won the Babe Ruth Award in 2010 as the most valuable player of the MLB postseason. Lincecum won consecutive Cy Young Awards in 2008 and 2009, becoming the first MLB pitcher to win the award in his first two full seasons. He also appeared in four consecutive All-Star Games from 2008 through 2011 and pitched no-hitters in 2013 and 2014.
Question: What are all of the professional football teams in the state of California?
Answer: The professional football teams in the state of California are the Los Angeles Rams, Los Angeles Chargers, and San Francisco 49ers.
Question: What are resolution model variables?
Evidence: According to previous work BIBREF17 , BIBREF18 , BIBREF1 , antecedents are resolved by different categories of information for different mentions. For example, the Stanford system BIBREF1 uses string-matching sieves to link two mentions with similar text and precise-construct sieve to link two mentions which satisfy special syntactic or semantic relations such as apposition or acronym. Motivated by this, we introduce resolution mode variables $\Pi = \lbrace \pi _1, \ldots , \pi _n\rbrace $ , where for each mention $j$ the variable $\pi _j \in \lbrace str, prec, attr\rbrace $ indicates in which mode the mention should be resolved. In our model, we define three resolution modes — string-matching (str), precise-construct (prec), and attribute-matching (attr) — and $\Pi $ is deterministic when $D$ is given (i.e. $P(\Pi |D)$ is a point distribution). We determine $\pi _j$ for each mention $m_j$ in the following way:
$\pi _j = str$ , if there exists a mention $m_i, i < j$ such that the two mentions satisfy the String Match sieve, the Relaxed String Match sieve, or the Strict Head Match A sieve in the Stanford multi-sieve system BIBREF1 .
$\pi _j = prec$ , if there exists a mention $m_i, i < j$ such that the two mentions satisfy the Speaker Identification sieve, or the Precise Constructs sieve.
$\pi _j = attr$ , if there is no mention $m_i, i < j$ satisfies the above two conditions.
Motivated by this, we introduce resolution mode variables $\Pi = \lbrace \pi _1, \ldots , \pi _n\rbrace $ , where for each mention $j$ the variable $\pi _j \in \lbrace str, prec, attr\rbrace $ indicates in which mode the mention should be resolved. In our model, we define three resolution modes — string-matching (str), precise-construct (prec), and attribute-matching (attr) — and $\Pi $ is deterministic when $D$ is given (i.e. $P(\Pi |D)$ is a point distribution). We determine $\pi _j$ for each mention $m_j$ in the following way:

$\pi _j = str$ , if there exists a mention $m_i, i < j$ such that the two mentions satisfy the String Match sieve, the Relaxed String Match sieve, or the Strict Head Match A sieve in the Stanford multi-sieve system BIBREF1 .

$\pi _j = prec$ , if there exists a mention $m_i, i < j$ such that the two mentions satisfy the Speaker Identification sieve, or the Precise Constructs sieve.

$\pi _j = attr$ , if there is no mention $m_i, i < j$ satisfies the above two conditions.
Answer: Variables in the set {str, prec, attr} indicating in which mode the mention should be resolved.
Question: Give me list of main cast of Friends TV show
Evidence: Friends is an American television sitcom created by David Crane and Marta Kauffman, which aired on NBC from September 22, 1994, to May 6, 2004, lasting ten seasons. With an ensemble cast starring Jennifer Aniston, Courteney Cox, Lisa Kudrow, Matt LeBlanc, Matthew Perry and David Schwimmer, the show revolves around six friends in their 20s and 30s who live in Manhattan, New York City. The series was produced by Bright/Kauffman/Crane Productions, in association with Warner Bros. Television. The original executive producers were Kevin S. Bright, Kauffman, and Crane.
Answer: Jennifer Aniston, 
Courteney Cox, 
Lisa Kudrow, 
Matt LeBlanc, 
Matthew Perry, 
David Schwimmer
Question: What is a useful set of criteria to use when determining who has a lot of leadership potential in my team?
Answer: 1.  Aspiration. Does this person have a high degree of aspiration when compared to their peers?  It takes a lot of risk and a lot of work to step up and grow into larger leadership responsibilities.  Thus, it is important that a person has the desire to take that risk and to put in the work needed.  

2. Capabilities.  Has this person demonstrated uniquely strong leadership abilities, particularly in creating vision, setting strategy, and building great teams? Do they have a track record of setting direction and rallying followership?  Are they a fast learner, quickly ramping to full performance when put in unfamiliar and increasingly more difficult jobs? Do they distinguish themselves as a thought leader, especially in ambiguous situations? Do they display high amounts of self-awareness and empathy, achieving results in a way that builds and strengthens relationships/

3. Commitment and courage.  Does the person have sufficient tenure, have they demonstrated a long-term commitment to the organization?  Are they highly engaged? Do they help to engage and develop others?  Do they have a track record of accomplishing impressive results oriented to the total organization’s results, not just their own job or silo? Have they demonstrated the tendency to take on tough, important assignments in difficult environments that broaden their experience?  Do they have a track-record of rapid career progression into the larger more complex jobs every few years?
Question: Why is football/soccer such a popular sport?
Answer: I believe that football/soccer is a popular sport for various reasons. On one hand, everyone has kicked a ball in his or her childhood and can relate to the basic movement. On the other hand, it has very easy-to-follow rules which makes it possible to understand the game when you watch it the first time. Football stars are best known throughout a wide general range of people across the world.
Question: Given the reference text about Karl Marx, tell me when he died, what subjects he studied and at which universities he studied.
Evidence: Karl Heinrich Marx FRSA (German: [maʁks]; 5 May 1818 – 14 March 1883) was a German philosopher, economist, historian, sociologist, political theorist, journalist, critic of political economy, and socialist revolutionary. His best-known titles are the 1848 pamphlet The Communist Manifesto and the four-volume Das Kapital (1867–1883). Marx's political and philosophical thought had enormous influence on subsequent intellectual, economic, and political history. His name has been used as an adjective, a noun, and a school of social theory.

Born in Trier, Germany, Marx studied law and philosophy at the universities of Bonn and Berlin. He married German theatre critic and political activist Jenny von Westphalen in 1843. Due to his political publications, Marx became stateless and lived in exile with his wife and children in London for decades, where he continued to develop his thought in collaboration with German philosopher Friedrich Engels and publish his writings, researching in the British Museum Reading Room.

Marx's critical theories about society, economics, and politics, collectively understood as Marxism, hold that human societies develop through class conflict. In the capitalist mode of production, this manifests itself in the conflict between the ruling classes (known as the bourgeoisie) that control the means of production and the working classes (known as the proletariat) that enable these means by selling their labour-power in return for wages. Employing a critical approach known as historical materialism, Marx predicted that capitalism produced internal tensions like previous socioeconomic systems and that these tensions would lead to its self-destruction and replacement by a new system known as the socialist mode of production. For Marx, class antagonisms under capitalism—owing in part to its instability and crisis-prone nature—would eventuate the working class's development of class consciousness, leading to their conquest of political power and eventually the establishment of a classless, communist society constituted by a free association of producers. Marx actively pressed for its implementation, arguing that the working class should carry out organised proletarian revolutionary action to topple capitalism and bring about socio-economic emancipation.

Marx has been described as one of the most influential figures in human history, and his work has been both lauded and criticised. His work in economics laid the basis for some current theories about labour and its relation to capital. Many intellectuals, labour unions, artists, and political parties worldwide have been influenced by Marx's work, often modifying or adapting his ideas. Marx is typically cited as one of the principal architects of modern social science.
Answer: Karl Marx studied law and philosophy at the universities of Bonn and Berlin. He died on March 14 1883.
Question: Tell me about the junk mail circle of life
Answer: Companies send mailers to every home in a certain vicinity/zip code. The post office delivers the junk mail to your mailbox. You get your mail and place the junk mail in the garbage. You take your garbage out for collection. The garbage people throw the junk mail into the dumpster. The end.
Question: Do the authors investigate models' transferability to the news domain and the impact of domain shift?
Evidence: Keyphrases are single or multi-word lexical units that best summarise a document BIBREF0. As such, they are of great importance for indexing, categorising and browsing digital libraries BIBREF1. Yet, very few documents have keyphrases assigned, thus raising the need for automatic keyphrase generation systems. This task falls under the task of automatic keyphrase extraction which can also be the subtask of finding keyphrases that only appear in the input document. Generating keyphrases can be seen as a particular instantiation of text summarization, where the goal is not to produce a well-formed piece of text, but a coherent set of phrases that convey the most salient information. Those phrases may or may not appear in the document, the latter requiring some form of abstraction to be generated. State-of-the-art systems for this task rely on recurrent neural networks BIBREF2, BIBREF3, BIBREF4, and hence require large amounts of annotated training data to achieve good performance. As gold annotated data is expensive and difficult to obtain BIBREF5, previous works focused on readily available scientific abstracts and used author-assigned keyphrases as a proxy for expert annotations. However, this poses two major issues: 1) neural models for keyphrase generation do not generalize well across domains, thus limiting their use in practice; 2) author-assigned keyphrases exhibit strong consistency issues that negatively impacts the model's performance. There is therefore a great need for annotated data from different sources, that is both sufficiently large to support the training of neural-based models and that comprises gold-standard labels provided by experts. In this study, we address this need by providing KPTimes, a dataset made of 279 923 news articles that comes with editor-assigned keyphrases.
Online news are particularly relevant to keyphrase generation since they are a natural fit for faceted navigation BIBREF6 or topic detection and tracking BIBREF7. Also, and not less importantly, they are available in large quantities and are sometimes accompanied by metadata containing human-assigned keyphrases initially intended for search engines. Here, we divert these annotations from their primary purpose, and use them as gold-standard labels to automatically build our dataset. More precisely, we collect data by crawling selected news websites and use heuristics to draw texts paired with gold keyphrases. We then explore the resulting dataset to better understand how editors tag documents, and how these expert annotations differ from author-assigned keyphrases found in scholarly documents. Finally, we analyse the performance of state-of-the-art keyphrase generation models and investigate their transferability to the news domain and the impact of domain shift.
Finally, we analyse the performance of state-of-the-art keyphrase generation models and investigate their transferability to the news domain and the impact of domain shift.
Answer: Yes, they do.
Question: How is effective word score calculated?
Evidence: We define the Effective Word Score of score x as
EFWS(x) = N(+x) - N(-x),
where N(x) is the number of words in the tweet with polarity score x.
We define the Effective Word Score of score x as

EFWS(x) = N(+x) - N(-x),

where N(x) is the number of words in the tweet with polarity score x.
Answer: The answers are shown as follows:
* We define the Effective Word Score of score x as

EFWS(x) = N(+x) - N(-x),

where N(x) is the number of words in the tweet with polarity score x.
Question: Based on the text how does someone win in Texas Hold 'em?
Evidence: Texas hold 'em (also known as Texas holdem, hold 'em, and holdem) is one of the most popular variants of the card game of poker. Two cards, known as hole cards, are dealt face down to each player, and then five community cards are dealt face up in three stages. The stages consist of a series of three cards ("the flop"), later an additional single card ("the turn" or "fourth street"), and a final card ("the river" or "fifth street"). Each player seeks the best five card poker hand from any combination of the seven cards; the five community cards and their two hole cards. Players have betting options to check, call, raise, or fold. Rounds of betting take place before the flop is dealt and after each subsequent deal. The player who has the best hand and has not folded by the end of all betting rounds wins all of the money bet for the hand, known as the pot. In certain situations, a "split-pot" or "tie" can occur when two players have hands of equivalent value. This is also called a "chop-pot". Texas hold 'em is also the H game featured in HORSE and in HOSE.
Answer: In Texas Hold 'em there are two main ways to win. You can win by obtaining the highest possible hand utilizing the two cards that only you possess (the hold cards) and the five community cards on the table, or you outlast the rest of the players after each round of betting without folding. There are sometimes ties and in those situations the pot is split evenly.