DataHammer/scimrc huggingface dataset:
Question: What is the Maurice Richard Trophy
Evidence: The Maurice "Rocket" Richard Trophy, also known as the Rocket Richard Trophy, is awarded annually to the leading goal scorer in the National Hockey League (NHL). It was donated to the NHL by the Montreal Canadiens in 1998–99 and is named in honour of legendary Montreal Canadiens right winger Maurice "Rocket" Richard. First won by Teemu Selanne, it is currently held by Auston Matthews, who scored 60 goals during the 2021–22 NHL season.
Answer: The Maurice "Rocket" Richard Trophy, also known as the Rocket Richard Trophy, is awarded annually to the leading goal scorer in the National Hockey League (NHL). It was donated to the NHL by the Montreal Canadiens in 1998–99 and is named in honour of legendary Montreal Canadiens right winger Maurice "Rocket" Richard. 

First won by Teemu Selanne, it is currently held by Auston Matthews, who scored 60 goals during the 2021–22 NHL season.
Question: Was Samuel Wesley the founder of the Methodist Church?
Evidence: Samuel Wesley (24 February 1766 – 11 October 1837) was an English organist and composer in the late Georgian period. Wesley was a contemporary of Mozart (1756–1791) and was called by some "the English Mozart".

Born in Bristol, he was the son of noted Methodist and hymnodist Charles Wesley, the grandson of Samuel Wesley (a poet of the late Stuart period) and the nephew of John Wesley, the founder of the Methodist Church.
Answer: No, John Wesley, his uncle, was the founder of the Methodist Church.
Question: What is the KPMG company?
Answer: KPMG stands for Klynveld Peat Marwick Goerdeler.  They are one of the world's leading accounting firms.  They were first found in 1881, and they have more than 200,000 professionals operating in offices all over the world in over 153 different countries.  KPMG offers audit services and tax advisory services to large companies, medium sized companies and many companies in the public sector.
Question: How to obtain a pre-trained lookup table?
Evidence: The whole network is trained through back propagation with stochastic gradient descent BIBREF19 . We obtain a pre-trained lookup table by applying Word2Vec BIBREF20 on the Google News corpus, which contains more than 100B words with a vocabulary size of about 3M. All involved parameters are randomly initialized from a truncated normal distribution with zero mean and standard deviation.
For each task INLINEFORM0 , we conduct TOS with INLINEFORM1 to improve its performance. After training our model on the generated sample collections, we evaluate the performance of task INLINEFORM2 by comparing INLINEFORM3 and INLINEFORM4 on the test set. We apply 10-fold cross-validation and different combinations of hyperparameters are investigated, of which the best one, as shown in Table TABREF41 , is reserved for comparisons with state-of-the-art models.
We obtain a pretrained lookup table by applying Word2Vec [Mikolov et al., 2013a] on the Google News corpus, which contains more than 100B words with a vocabulary size of about 3M.
Answer: The authors obtain a pretrained lookup table by applying Word2Vec on the Google News corpus.
Question: What is the ICC ?
Evidence: The International Cricket Council (ICC) is the global governing body of cricket. It was founded as the Imperial Cricket Conference in 1909 by representatives from Australia, England and South Africa. It was renamed as the International Cricket Conference in 1965, and took up its current name in 1987. The ICC has its headquarters in Dubai, United Arab Emirates.

The ICC has 108 member nations currently: 12 Full Members that play Test matches, and 96 Associate Members. The ICC is responsible for the organisation and governance of cricket's major international tournaments, most notably the Cricket World Cup and the T20 World Cup. It also appoints the umpires and referees that officiate at all sanctioned Test matches, One Day Internationals and Twenty20 Internationals. It promulgates the ICC Code of Conduct, which sets professional standards of discipline for international cricket, and also co-ordinates action against corruption and match-fixing through its Anti-Corruption and Security Unit (ACSU).
Answer: ICC stands for International Cricket Council and is governing body of Cricket. The ICC is responsible for the governance of all Cricketing tournaments.
Question: By which method do the authors combine CNNs and RNNs and what they have achieved?
Evidence: Relation classification is the task of assigning sentences with two marked entities to a predefined set of relations. The sentence “We poured the <e1>milk</e1> into the <e2>pumpkin mixture</e2>.”, for example, expresses the relation Entity-Destination(e1,e2). While early research mostly focused on support vector machines or maximum entropy classifiers BIBREF0 , BIBREF1 , recent research showed performance improvements by applying neural networks (NNs) BIBREF2 , BIBREF3 , BIBREF4 , BIBREF5 , BIBREF6 , BIBREF7 on the benchmark data from SemEval 2010 shared task 8 BIBREF8 .
This study investigates two different types of NNs: recurrent neural networks (RNNs) and convolutional neural networks (CNNs) as well as their combination. We make the following contributions:
(1) We propose extended middle context, a new context representation for CNNs for relation classification. The extended middle context uses all parts of the sentence (the relation arguments, left of the relation arguments, between the arguments, right of the arguments) and pays special attention to the middle part.
(2) We present connectionist bi-directional RNN models which are especially suited for sentence classification tasks since they combine all intermediate hidden layers for their final decision. Furthermore, the ranking loss function is introduced for the RNN model optimization which has not been investigated in the literature for relation classification before.
(3) Finally, we combine CNNs and RNNs using a simple voting scheme and achieve new state-of-the-art results on the SemEval 2010 benchmark dataset.
Finally, we combine CNNs and RNNs using a simple voting scheme and achieve new state-of-the-art results on the SemEval 2010 benchmark dataset.
Answer: Using a simple voting scheme and achieve new state-of-the-art results on the SemEval 2010 benchmark dataset
Question: I love nature. What can I do in Boppard, Germany?
Answer: Boppard is a beautiful town in the Upper Middle Rhine Valley between Bingen and Koblenz. It is surrounded by stunning natural landscapes. If you love nature, there are a few things you can do in Boppard:
1. Do the “Klettersteig Boppard”. The “Klettersteig Boppard” is a via ferrata climbing route that lets you explore the Rhine Valley in a challenging but unique way.
2. Climb the “Ripp”: The “Ripp” is a trail that starts in Boppard and goes up all the way to a lookout point called “Vierseenblick” (see 3).
3. Visit the “Vierseenblick”: The Vierseenblick is a lookout point from which the Rhine appears to be divided into four lakes, hence the German name “vier Seen” (“four lakes”).
4. Hike the “Rheinburgenweg” (“Rhine castles trail”) Trail: The “Rheinburgenweg” is a scenic hiking trail that runs along the Rhine River and offers breathtaking views of the Rhine Valley, including old castles on the other side of the valley. You can start the trail in Boppard and hike north or south.
These are just a few ideas, but there are many other nature-related activities and attractions in Boppard that you might enjoy. For more input, you can search for "Fünfseenblick lookout", "The Loreley Rock", "Geierlay suspension bridge", or "Bacharach".
Question: What was Angie Thomas's first published novel?
Answer: "The Hate U Give" which was released in 2017 and debuted at number one on The New York Times Best Seller list.
Question: Given the list below, extract the heroes' names, ages, and who voices them, in the format {Hero name} ({age in digits}) - {voiced by name}. Separate them by a newline.
Evidence: Heroes
Hank, the Ranger (voiced by Willie Aames): At 15 years of age, he is the leader of the group. Hank is brave and noble, maintaining a focus and determination even when presented with grave danger. Hank is a Ranger, with a magical energy bow that shoots arrows of glowing energy. These arrows can be used in many different ways such as a climbing tool, to hurt enemies, to bind them, to create light, or to form temporary makeshift cages.
Eric, the Cavalier (voiced by Don Most): The Cavalier, age 15, is the spoiled child, originating from a rich home. On the surface, Eric is a big-mouthed comic relief coward. Eric has a heroic core, and frequently saves his friends from danger with his magical Griffon Shield, which can project a force field. Despite his aloofness and several instances of selfishness, Eric shares the common camaraderie of the group, and occasionally steps to the fore as a substitute leader in Hank's absence.
Diana, the Acrobat (voiced by Tonia Gayle Smith): Diana is a brave, athletic, and outspoken 14-year-old girl. She is an Acrobat who carries the Javelin Staff, which can change size to suit her needs and be easily reconstructed if broken. Diana is also known to provide inspiration, guidance and support for her friends at times of peril or worry.
Presto, the Magician (voiced by Adam Rich): The 14-year-old Wizard of the team. Friendly and fiercely loyal to all in the group, Presto fulfills the role of the well-meaning, diligent magic user whose spells frequently—though not always—either fail or produce unintended results.
Sheila, the Thief (voiced by Katie Leigh): As the Thief, Sheila, aged 13, has the Cloak of Invisibility which makes her invisible when the hood is raised over her head. Although occasionally emotionally vulnerable and with a great fear of being alone in the realm, Sheila regularly utilizes the stealth attributes of her cloak at great peril to herself for the benefit of the common goals of her group.
Bobby, the Barbarian (voiced by Ted Field III): Bobby is the youngest member of the team at nine years old and the younger brother of Sheila. He is the Barbarian, as indicated by his fur pants and boots, horned helmet, and cross belt harness. Brash, brave and selfless but occasionally impulsive, Bobby's personality frequently puts himself and his friends in danger. His weapon saves the protagonists from peril on numerous occasions.
Answer: Hank (15) - Willie Aames
Eric (15) - Don Most
Diana (14) - Tonia Gayle Smith
Presto (14) - Adam Rich
Sheila (13) - Katie Leigh
Bobby (9) - Ted Field III
Question: What is a personality test?
Evidence: The origins of personality assessment date back to the 18th and 19th centuries, when personality was assessed through phrenology, the measurement of bumps on the human skull, and physiognomy, which assessed personality based on a person's outer appearances. Sir Francis Galton took another approach to assessing personality late in the 19th century. Based on the lexical hypothesis, Galton estimated the number of adjectives that described personality in the English dictionary. Galton's list was eventually refined by Louis Leon Thurstone to 60 words that were commonly used for describing personality at the time. Through factor analyzing responses from 1300 participants, Thurstone was able to reduce this severely restricted pool of 60 adjectives into seven common factors. This procedure of factor analyzing common adjectives was later utilized by Raymond Cattell (7th most highly cited psychologist of the 20th Century—based on the peer-reviewed journal literature), who subsequently utilized a data set of over 4000 affect terms from the English dictionary that eventually resulted in construction of the Sixteen Personality Factor Questionnaire (16PF) which also measured up to eight second-stratum personality factors. Of the many introspective (i.e., subjective) self-report instruments constructed to measure the putative Big Five personality dimensions, perhaps the most popular has been the Revised NEO Personality Inventory (NEO-PI-R) However, the psychometric properties of the NEO-PI-R (including its factor analytic/construct validity) has been severely criticized.
Answer: Personality test is a test of measuring human personality constructs. Its origin can be dated back to 18th century. There are many different types of personality assessment measures.  These tests are designed to draw knowledge about an individual's interest, interactive style and many other things.
Question: Classify each of the following as Toy or Tool: Garden Shovel, Golf Club, Baseball Bat, Hammer, Saw.
Answer: A garden shovel is a tool.
A golf Club is a toy.
A baseball bat is a toy.
A hammer is a tool.
A saw is a tool.
Question: Should you buy new golf clubs when you are a beginner?
Answer: It is recommended that you get custom fitted for your golf clubs.  However, there are many used golf clubs available to purchase and it can be a great option if you are just exploring the sport.  You can also consider renting golf clubs from your local golf course if you are not ready for the expense of buying new or used golf clubs.
Question: Can you explain the lyrics “His whole back's to these ropes, it don't matter, he's dope” in the song lose yourself by Eminem?
Answer: “Back’s to these ropes” is another way of saying that Rabbit, the main character of the song, is in a difficult situation; his back is against the wall. Eminem is comparing the rap battle that Rabbit takes part in at the end of 8 Mile to the sport of boxing, where the ring is surrounded by ropes.
Question: What is a shogi?
Answer: Shogi is a board game called Japanese chess. Unlike chess, you can use the pieces you take as your own. There are 81 squares on the board (9x9), and there are more patterns than in chess. There are professional players in Japan, and research using AI is becoming very active.
Question: From the passage provided, extract the names of moons/natural satellites of Mars.
Evidence: Mars (1.382–1.666 AU (206.7–249.2 million km; 128.5–154.9 million mi) from the Sun) is smaller than Earth and Venus (0.107 MEarth). It has an atmosphere of mostly carbon dioxide with a surface pressure of 6.1 millibars (0.088 psi; 0.18 inHg); roughly 0.6% of that of Earth but sufficient to support weather phenomena. Its surface, peppered with volcanoes, such as Olympus Mons, and rift valleys, such as Valles Marineris, shows geological activity that may have persisted until as recently as 2 million years ago. Its red colour comes from iron oxide (rust) in its soil. Mars has two tiny natural satellites (Deimos and Phobos) thought to be either captured asteroids, or ejected debris from a massive impact early in Mars's history.
Answer: Mars has two moons/natural satellites : Deimos and Phobos
Question: Do they test their approach on large-resource tasks?
Evidence: We first describe our corpus collection. Table. TABREF3 lists all corpora we used in the experiments. There are 16 corpora from 10 languages. To increase the variety of corpus, we selected 4 English corpora and 4 Mandarin corpora in addition to the low resource language corpora. As the target of this experiment is low resource speech recognition, we only randomly select 100,000 utterances even if there are more in each corpus. All corpora are available in LDC, voxforge, openSLR or other public websites. Each corpus is manually assigned one domain based on its speech style. Specifically, the domain candidates are telephone, read and broadcast.
To increase the variety of corpus, we selected 4 English corpora and 4 Mandarin corpora in addition to the low resource language corpora.
Answer: Yes.
Question: List of greek goddesses starting by 'L':
Answer: Here is the list of greek goddesses starting by 'L':

- Lampad
- Lampetia
- Lampsace
- Lethe
- Leto
- Libya
- Limos
- Litae
- Lyssa
Question: What should we conserve electricity?
Answer: When you conserve electricity you are actually helping the environment.  You are helping the environment when you consider the way electricity is produced.  Electricity is produced by steam generation, solar panels, dam power generators, windmills, gas turbines, and nuclear.  Most of these methods use fossil fuels or other fuels that release greenhouse gas emissions during the electricity production process.
Question: What is pleitropy?
Answer: Pleiotropy occurs when one gene influences two or more seemingly unrelated phenotypic traits. Such a gene that exhibits multiple phenotypic expression is called a pleiotropic gene. Mutation in a pleiotropic gene may have an effect on several traits simultaneously, due to the gene coding for a product used by a myriad of cells or different targets that have the same signaling function.

Pleiotropy can arise from several distinct but potentially overlapping mechanisms, such as gene pleiotropy, developmental pleiotropy, and selectional pleiotropy. Gene pleiotropy occurs when a gene product interacts with multiple other proteins or catalyzes multiple reactions. Developmental pleiotropy occurs when mutations have multiple effects on the resulting phenotype. Selectional pleiotropy occurs when the resulting phenotype has many effects on fitness (depending on factors such as age and gender).

An example of pleiotropy is phenylketonuria, an inherited disorder that affects the level of phenylalanine, an amino acid that can be obtained from food, in the human body. Phenylketonuria causes this amino acid to increase in amount in the body, which can be very dangerous. The disease is caused by a defect in a single gene on chromosome 12 that codes for enzyme phenylalanine hydroxylase, that affects multiple systems, such as the nervous and integumentary system.

Pleiotropic gene action can limit the rate of multivariate evolution when natural selection, sexual selection or artificial selection on one trait favors one allele, while selection on other traits favors a different allele. Some gene evolution is harmful to an organism. Genetic correlations and responses to selection most often exemplify pleiotropy.
Question: Group the following into manmade and non-manmade (naturally occurring) items: computer, salt, fence, tree stump, hillock, lightbulb, terracotta planter, snow, wolves, tablecloth, periodicals, museum
Answer: Manmade: computer, fence, lightbulb, terracotta planter, tablecloth, periodicals, museum
Non-manmade: salt, hillock, tree stump, snow, wolves
Question: What are 5 ways to eat apples?
Answer: 1. Raw - you can eat apples just as they are (but usually after washing)
2. Sliced to share
3. Peeled and sliced to be baked (apple crisp anyone?)
4. Mashed into apple sauce
5. Candied with a sweet glaze
Question: Is beauty objective or subjective?
Answer: The opinions on this question vary from person to person. 
Statistically, a pattern of preference is easily visible on what people would describe as beautiful. An evident example of this phenomenon is a beauty standard for women and men. Society seems to agree on what features, both physical and internal, can deem a person beautiful. The standard of beauty is also projected beyond humans, onto animal breeds, for example, in cat shows. 
A link between beauty and how closely it resembles perfection appears to exist. For example, a rose with many petals and no tears or scratches is generally seen as more beautiful than one with fewer, visibly ruined petals. 
However, the question of perfection also raises a problem as it is difficult and arguably impossible to define perfection. Beauty does not necessarily mean perfection. For example, large eyes are statistically considered to be more attractive however, in terms of their biological  purpose they possess no superiority to small eyes. Therefore, both beauty and perfection depend on the perspective or purpose with which you observe an object.

Furthermore, the clear fluctuations through centuries and cultures on what is considered to be beautiful should also be taken into account. Fashion trends and art styles, for instance,  are constantly changing. Additionally, the diversity in opinions suggests there is nothing that is considered beautiful by everyone, so even if the majority deem a particular object or thing as beautiful, it’s beauty remains subjective because it remains based on an ever-changing preference rather than objective truth.
Question: What was the race consisted of?
Evidence: The race was held over the "international distance" and consisted of 1,500 metres (0.93 mi) swimming, 40 kilometres (25 mi), road bicycling, and 10 kilometres (6.2 mi) road running.
The winner Reinaldo Colucci of Brazil qualifies to compete in the triathlon competitions at the 2012 Summer Olympics in London, Great Britain.
Answer: The race was held over the "international distance" and consisted of 1,500 metres (0.93 mi) swimming, 40 kilometres (25 mi), road bicycling, and 10 kilometres (6.2 mi) road running.
Question: Can their method be applied to more NLP tasks?
Evidence: Automatic Text Summarization deals with the task of condensing documents into a summary, whose level is similar to a human-generated summary. It is mostly distributed into two distinct domains, i.e., Abstractive Summarization and Extractive Summarization. Abstractive summarization( Dejong et al. ,1978) involves models to deduce the crux of the document. It then presents a summary consisting of words and phrases that were not there in the actual document, sometimes even paraphrasing BIBREF1 . A state of art method proposed by Wenyuan Zeng BIBREF2 produces such summaries with length restricted to 75. There have been many recent developments that produce optimal results, but it is still in a developing phase. It highly relies on natural language processing techniques, which is still evolving to match human standards. These shortcomings make abstractive summarization highly domain selective. As a result, their application is skewed to the areas where NLP techniques have been superlative. Extractive Summarization, on the other hand, uses different methods to identify the most informative/dominant sentences through the text, and then present the results, ranking them accordingly. In this paper, we have proposed two novel stand-alone summarization methods.The first method is based on Glove Model BIBREF3 ,and other is based on Facebook's InferSent BIBREF4 . We have also discussed how we can effectively subdue shortcomings of one model by using it in coalition with models which capture the view that other faintly held.
Additional experiments on a large Natural Language Inference (NLI) task illustrate that our method can be easily applied to more NLP tasks with only a minor adjustment.
Answer: Yes, only a minor adjustment is needed.