DataHammer/scimrc huggingface dataset:
Question: How do you care for a dog?
Answer: Dogs are often described as a man's best friend.  I have had a dog in my life since I was a young child.  My father had a dog that he hunted birds alongside.  We have had dogs that live indoors with the family and outdoors in their own doghouse.  We have raised puppies from our dogs and given them away to friends and neighbors.  Dogs provide a lot of love and companionship to everyone in the family and they can be as beloved as any human.  Dogs take a great deal to care for because they are completely dependent on humans to keep them alive.  A dog left out in the wild is unlikely to survive without help from a caring human.  Dogs must be fed, watered, walked for exercise, socialized with other dogs and with other people as well so that they feel safe and interact safely with others.  Dogs can live to between 10 and 15 years old on average so they are with a family for a long time.  Dogs come in all shapes, sizes, colors, skills and are often referred to as breeds.  Breeds have different characteristics and people sometimes select a dog for the breed.  Sometimes dogs are neglected or left without a family to care for them and end up in temporary homes called animal shelters.  These shelters provide a safe haven for a dog until a suitable owner is matched.  Many of the best dogs that a family gets come from a shelter.
Question: Given this paragraph about Atlantic Hall in Nigeria, how many students does it hold, where is located and when did it open?
Evidence: Atlantic Hall is a private coeducational secondary school in Epe, Lagos State, Nigeria which holds about 600 students and is located about 70 kilometres from Lagos. It opened in 1989 in the Maryland area, Ikeja, Lagos State, with dormitories close to Eko Hospital Ikeja, before relocating to Poka Epe in the mid-nineties. Its landmark include Pobuna Junior and Senior High School with close proximity to Araga in Epe.
Answer: Atlantic Hall can hold 600 students, is located 70 kilometers from Lagos and was opened in 1989.
Question: How big is the dataset?
Evidence: Dataset: Based on some earlier work, only available labelled dataset had 3189 rows of text messages of average length of 116 words and with a range of 1, 1295. Prior work addresses this concern by using Transfer Learning on an architecture learnt on about 14,500 messages with an accuracy of 83.90. We addressed this concern using data augmentation techniques applied on text data.
Dataset: Based on some earlier work, only available labelled dataset had 3189 rows of text messages of average length of 116 words and with a range of 1, 1295.
Answer: The answers are shown as follows:
* 3189 rows of text messages
Question: List the architects who designed Klovska station
Evidence: Klovska — is a station on Kyiv Metro's Syretsko-Pecherska Line. Originally the station was a temporary terminus of the line between its opening date 31 December 1989 and prior to the expansion of the line to Vydubichy in December 1991.

Designed by architects A. Krushinskiy, L. Kachalova, O. Cherevko and M. Solyanyk the station is a standard pylon trivault, but with aesthetics resembling the metallic Prague Metro stations, rather than the traditional marble-clad Soviet ones. The emphasis was to give the station monumentalism, which is achieved by giving a bright high contrast gleam to the appearance. The vault ceilings are covered by set of green aluminium planes. Highly contrasting with this are the black niches which hold a line of powerful fluorescent lighting elements. White marble is used for the walls.
Answer: A. Krushinskiy, L. Kachalova, O. Cherevko and M. Solyanyk
Question: Of NFL teams who have gone to the Super Bowl, how many have a win percentage of Super Bowls of at least 50%?
Answer: Boston/New England Patriots, Pittsburgh Steelers, Dallas Cowboys, San Francisco 49ers, New York Giants, Green Bay Packers, Kansas City Chiefs, Washington Redskins/Football Team/Commanders, Oakland/Los Angeles/Las Vegas Raiders, Baltimore/Indianapolis Colts, Tampa Bay Buccaneers, Baltimore Ravens, Chicago Bears, New Orleans Saints, New York Jets
Question: What causes that feeling of weightlessness when you're on a rollercoaster?
Answer: The feeling of weightlessness when you’re on a rollercoaster is caused by negative gravitational force, also known as g-force. Negative g-force occurs when you accelerate downwards, and is commonly felt in roller coaster elements like camelback hills, which are hump-shaped hills that travel straight up and down. Elements like these are designed to lift riders out of their seats, giving that feeling of weightlessness.
Question: Think up different ways to make a baby stop crying.
Answer: Here are different ways to make a baby stop crying:
1. Give the baby milk
2. Bounce the baby up and down
3. Take the baby on a walk
4. Take the baby for a ride in the car
5. Give the baby food
6. Rock the baby to sleep
Question: Extract the names of all of the albums that Taylor Swift has released. Separate them with a comma.
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.

Her fourth studio album, Red (2012), was her first number-one album in the United Kingdom. It topped charts in Australia, Canada, Ireland, New Zealand, and spent seven weeks at number one on the Billboard 200. Swift scored her fourth US number-one album with 1989 (2014), which topped the Billboard 200 for 11 weeks and was certified 9× Platinum by the RIAA. It topped the charts in other countries including Australia, Canada, and New Zealand. Her sixth studio album, Reputation (2017), made Swift the first music artist to have four consecutive albums each sell over one million copies within its debut week. It spent four weeks atop the Billboard 200.

Exiting Big Machine, Swift signed with Universal Music Group label Republic Records in 2018. Her seventh studio album, Lover (2019), was the year's global best-selling album by a solo artist. Swift released two studio albums in 2020, Folklore and Evermore, which respectively spent eight and four weeks atop the Billboard 200. Swift released two re-recorded albums, Fearless (Taylor's Version) and Red (Taylor's Version), in 2021, after a dispute with Big Machine over the rights to the masters of her first six albums; the former was the first re-recorded album to top the Billboard 200. Swift's tenth original studio album, Midnights (2022), became her fifth to sell over a million US first-week copies; It was also the first album to sell over a million physical sales since 2015.
Answer: Taylor Swift, Fearless, Speak Now, Red, 1989, Reputation, Lover, Fearless, Folklore, Evermore, Fearless (Taylor's Version), Red (Taylor's Version), Midnights
Question: How to train the ClaimBuster system?
Evidence: The previous work that is most relevant to our work here is that of BIBREF9, who developed the ClaimBuster system, which assigns each sentence in a document a score, i.e., a number between 0 and 1 showing how worthy it is of fact-checking. The system is trained on their own dataset of about eight thousand debate sentences (1,673 of them check-worthy), annotated by students, university professors, and journalists. Unfortunately, this dataset is not publicly available and it contains sentences without context as about 60% of the original sentences had to be thrown away due to lack of agreement.
In contrast, we develop a new publicly-available dataset, based on manual annotations of political debates by nine highly-reputed fact-checking sources, where sentences are annotated in the context of the entire debate. This allows us to explore a novel approach, which focuses on the context.
Note also that the ClaimBuster dataset is annotated following guidelines from BIBREF9 rather than a real fact-checking website; yet, it was evaluated against CNN and PolitiFact BIBREF10. In contrast, we train and evaluate directly on annotations from fact-checking websites, and thus we learn to fit them better.
Beyond the document context, it has been proposed to mine check-worthy claims on the Web. For example, BIBREF11 searched for linguistic cues of disagreement between the author of a statement and what is believed, e.g., “falsely claimed that X”. The claims matching the patterns go through a statistical classifier, which marks the text of the claim. This procedure can be used to acquire a dataset of disputed claims from the Web.
Given a set of disputed claims, BIBREF12 approached the task as locating new claims on the Web that entail the ones that have already been collected. Thus, the task can be conformed as recognizing textual entailment, which is analyzed in detail in BIBREF13.
Finally, BIBREF14 argued that the top terms in claim vs. non-claim sentences are highly overlapping, which is a problem for bag-of-words approaches. Thus, they used a Convolutional Neural Network, where each word is represented by its embedding and each named entity is replaced by its tag, e.g., person, organization, location.
The system is trained on their own dataset of about eight thousand debate sentences (1,673 of them check-worthy), annotated by students, university professors, and journalists.
Answer: The system is trained on their own dataset of about eight thousand debate sentences (1,673 of them check-worthy), annotated by students, university professors, and journalists.
Question: Given this paragraph about the city of Madrid, what are the main landmarks of the city?
Evidence: While Madrid possesses modern infrastructure, it has preserved the look and feel of many of its historic neighbourhoods and streets. Its landmarks include the Plaza Mayor, the Royal Palace of Madrid; the Royal Theatre with its restored 1850 Opera House; the Buen Retiro Park, founded in 1631; the 19th-century National Library building (founded in 1712) containing some of Spain's historical archives; many national museums, and the Golden Triangle of Art, located along the Paseo del Prado and comprising three art museums: Prado Museum, the Reina Sofía Museum, a museum of modern art, and the Thyssen-Bornemisza Museum, which complements the holdings of the other two museums. Cibeles Palace and Fountain has become one of the monument symbols of the city.
Answer: The main landmarks of Madrid include the Plaza Mayor, the Royal Palace, the Royal Theatre or the Retiro Park. Madrid also has many national museums, such as the Prado Museum, the Reina Sofia Museum or the Thyssen-Bornemisza Museum.
Question: Given this paragraph, who wrote and directed Heads I Win, Tails You Lose
Evidence: Heads I Win, Tails You Lose (Italian: Testa o Croce, also known as Heads or Tails) is a 1982 Italian comedy film written and directed by Nanni Loy.

The film consists in two back-to-back stories that deals with two "taboo" themes, the celibacy of the clergy in the episode of Renato Pozzetto and the homosexuality in the one with Nino Manfredi.
Answer: Based on this passage of text, Nanni Loy wrote and directed the movie Heads I Win, Tails You Lose.
Question: Give me a bulleted list with 5 reasons why is Lyft's stock is underperforming Uber's.
Answer: The following are 5 reasons Lyft's stock is underperforming Uber's:
1. Lyft is losing marketshare to Uber across all markets
2. Lyft has a bloated cost structure with very high stock based compensation costs
3. Lyft rides cost more than Uber's on average
4. Drivers make less on Lyft than Uber
5. Lyft hasn't launched a new product in multiple years
Question: Identify which instrument is string or percussion: Singing bowl, Kibangala
Answer: Kibangala is string, Singing bowl is percussion.
Question: Can you help me to categorize these things as either "expensive", "not expensive", or "I don't know": air, gold, rock, rocket and dream.
Answer: Air and rock are not expensive, but gold and rocket are expensive. I don't know if dream is expensive or not.
Question: What approach do they propose?
Evidence: Both neural and statistical machine translation approaches are highly reliant on the availability of large amounts of data and are known to perform poorly in low resource settings. Recent crowd-sourcing efforts and workshops on machine translation have resulted in small amounts of parallel texts for building viable machine translation systems for low-resource pairs BIBREF0 . But, they have been shown to suffer from low accuracy (incorrect translation) and low coverage (high out-of-vocabulary rates), due to insufficient training data. In this project, we try to address the high OOV rates in low-resource machine translation systems by leveraging the increasing amount of multilingual content available on the Internet for enriching the bilingual lexicon.
Comparable corpora such as Wikipedia, are collections of topic-aligned but non-sentence-aligned multilingual documents which are rich resources for extracting parallel sentences from. For example, Figure FIGREF1 shows that there are equivalent sentences on the page about Donald Trump in Tamil and English, and the phrase alignment for an example sentence is shown in Table TABREF4 .
Table TABREF2 shows that there are at least tens of thousands of bilingual articles on Wikipedia which could potentially have at least as many parallel sentences that could be mined to address the scarcity of parallel sentences as indicated in column 2 which shows the number of sentence-pairs in the largest available bilingual corpora for xx-en. As shown by BIBREF1 ( BIBREF1 ), the illustrated data sparsity can be addressed by extending the scarce parallel sentence-pairs with those automatically extracted from Wikipedia and thereby improving the performance of statistical machine translation systems.
In this paper, we will propose a neural approach to parallel sentence extraction and compare the BLEU scores of machine translation systems with and without the use of the extracted sentence pairs to justify the effectiveness of this method. Compared to previous approaches which require specialized meta-data from document structure or significant amount of hand-engineered features, the neural model for extracting parallel sentences is learned end-to-end using only a small bootstrap set of parallel sentence pairs.
In this paper, we will propose a neural approach to parallel sentence extraction and compare the BLEU scores of machine translation systems with and without the use of the extracted sentence pairs to justify the effectiveness of this method.
Answer: A neural approach to parallel sentence extraction
Question: Who is Cindy Robinson?
Evidence: Cindy Robinson is an American voice actress who voices in animations and video games. Some of her major roles are Makoto Nanaya and Gii from the Blazblue series, Betty Boop in commercials, Queen Beryl in Sailor Moon, Chitose Nanbu in Ah My Buddha, Kukaku Shiba, Miyako Shiba, Jinta Hanakari (kid) and Kiyone Kotetsu in Bleach, Zola in the Blue Dragon series, Madeline Hatter in "Ever After High" Minerva and Hinoka in Fire Emblem. She also makes an uncredited appearance as the voice of the Purge Emergency Broadcast System in The Purge franchise.

Robinson is best known for her role as Amy Rose in the Sonic the Hedgehog franchise since 2010.
Answer: Cindy Robinson is an American voice actress best known for her role as Amy Rose in the Sonic the Hedgehog franchise since 2010.
Question: What is Wimbledon?
Evidence: The Wimbledon Championships, commonly known simply as Wimbledon, is the oldest tennis tournament in the world and is widely regarded as the most prestigious. It has been held at the All England Club in Wimbledon, London, since 1877 and is played on outdoor grass courts, with retractable roofs over the two main courts since 2019.
Answer: The Wimbledon Championships is the oldest tennis tournament in the world. Commonly referred to as Wimbledon, it is one of the four Gran Slam tennis tournaments, alongside the Australian Open, the French Open, and the US Open.
Question: What additional information is found in the dataset?
Evidence: We collected COVID-19 related Arabic tweets from January 1, 2020 until April 15, 2020, using Twitter streaming API and the Tweepy Python library. We have collected more than 3,934,610 million tweets so far. In our dataset, we store the full tweet object including the id of the tweet, username, hashtags, and geolocation of the tweet. We created a list of the most common Arabic keywords associated with COVID-19. Using Twitter’s streaming API, we searched for any tweet containing the keyword(s) in the text of the tweet. Table TABREF1 shows the list of keywords used along with the starting date of tracking each keyword. Furthermore, Table TABREF2 shows the list of hashtags we have been tracking along with the number of tweets collected from each hashtag. Indeed, some tweets were irrelevant, and we kept only those that were relevant to the pandemic.
In our dataset, we store the full tweet object including the id of the tweet, username, hashtags, and geolocation of the tweet. We created a list of the most common Arabic keywords associated with COVID-19. Using Twitter’s streaming API, we searched for any tweet containing the keyword(s) in the text of the tweet. Table TABREF1 shows the list of keywords used along with the starting date of tracking each keyword. Furthermore, Table TABREF2 shows the list of hashtags we have been tracking along with the number of tweets collected from each hashtag. 
Answer: The answers are shown as follows:
* the full tweet object including the id of the tweet, username, hashtags, and geolocation of the tweet
Question: Who started Belu?
Evidence: Belu was founded in 2004 by film maker Reed Paget as a bottled water business with an aim to be an environmentally friendly alternative to other beverages on the market. Before launching Belu, Paget was a keen environmentalist in business communities, encouraging others in the drinks industry to consider the environmental impact of sourcing, manufacturing and packaging. Early stage investors in Belu included Body Shop co-founder Gordon Roddick, environmentalist Ben Goldsmith and hedge fund manager, Chris Cooper-Hohn
Answer: Reed Paget founded Belu in 2004.
Question: Of the following, which are car parts, which are boat parts and which are both: tires, propeller, engine, rudder, sail, seat belts, head lights, and rear view mirrors.
Answer: Tires, head lights, and rear view mirror are car parts.  Propeller, rudder, and sail are boat parts. Engine and seat belts are part of both.
Question: Given this reference text about Neonatology, tell me which specialty it is related to, and where it is typically practiced.
Evidence: Neonatology is a subspecialty of pediatrics that consists of the medical care of newborn infants, especially the ill or premature newborn. It is a hospital-based specialty, and is usually practiced in neonatal intensive care units (NICUs). The principal patients of neonatologists are newborn infants who are ill or require special medical care due to prematurity, low birth weight, intrauterine growth restriction, congenital malformations (birth defects), sepsis, pulmonary hypoplasia or birth asphyxia.
Answer: Neonatology is a subspecialty of pediatrics, which is typically practiced in a hospital's Neonatal Intensive Care Unit, often referred to as a NICU.
Question: Which are the best movie sequels in the past century?
Answer: The distinction for the best movie sequels in the past 50 years goes to The Godfather Part 2, Terminator 2 Judgement Day, Empire Strikes Back and The DarK Night. These movie elevated the original source material and achieved cinematic excellence. All these movies were also more financially successful when compared to their predecessors.
Question: Categorize these football teams as either "Spanish", "English", "German" or "Other". Manchester United, Arsenal, Ajax, Borussia Dortmund, Real Sociedad, Club Atlético River Plate
Answer: English: Manchester United, Arsenal
Spanish: Real Sociedad
German: Borussia Dortmund
Other: Ajax, Club Atlético River Plate
Question: Who was Margaret Thatcher?
Evidence: Margaret Hilda Thatcher, Baroness Thatcher, LG, OM, DStJ, PC, FRS, HonFRSC (née Roberts; 13 October 1925 – 8 April 2013), was a British politician and stateswoman who served as Prime Minister of the United Kingdom from 1979 to 1990 and Leader of the Conservative Party from 1975 to 1990. She was the first female British prime minister and the longest-serving British prime minister of the 20th century. As prime minister, she implemented economic policies that became known as Thatcherism. A Soviet journalist dubbed her the "Iron Lady", a nickname that became associated with her uncompromising politics and leadership style.
Answer: Margaret Thatcher was the first woman to be elected prime minister of Great Britain and Northern Ireland, serving in this role from her first election victory in 1979 until she was forced out of office by members of her own party in 1990. During this time she transformed the economic situation in the United Kingdom by introducing economic policies intended to reverse high inflation and weak growth. By constraining the power of trades unions and overseeing extensive deregulation and privatisation, Thatcher helped to create a period of extended growth and economic success. Together with Ronald Reagan, she was also instrumental in recognising and supporting the opportunity to end communist rule in the Soviet Union, where she was dubbed the 'Iron Lady', through her friendship with the Russian leader, Mikhail Gorbachev. Her legacy was to end the so-called 'post-war consensus' in the UK (characterised by high taxes, regulation and nationalisation) and to replace it with policies that encouraged free-enterprise and personal responsibility while acknowledging the importance of the welfare state, provided it was administered responsibly. Although disliked by many on the left for the way that she challenged excessive union power, she is generally acknowledged as the most important British politician of the late twentieth century.
Question: Give me a list of recommendations to quickly heal from an achilles rupture surgery.
Answer: Get plenty of rest
Stay off the injured leg
Keep the foot elevated above the heart
Take medication to keep inflammation down
Ice the area to reduce swelling
Brace the ankle and foot, and point the toe down in a plantar flexion position
Question: Classify the below places based on the country they belong to.

New Jersey, New York, Kolkata, New Delhi, Ohio, Oklahoma
Answer: New Jersey, New York, Ohio, Oklahoma - USA
Kolkata, New Delhi - India